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ORCIDCoRR, July 2021
- Jan Portisch, Michael Hladik, Heiko Paulheim:
Background Knowledge in Schema Matching: Strategy vs. Data. - Honggui Li, Dimitri Galayko, Maria Trocan, Mohamad Sawan:
Cascade Decoders-Based Autoencoders for Image Reconstruction. - Juan Shu, Bowei Xi, Charles A. Kamhoua:
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions. - Pradipta Sasmal, Avinash Paul, Manas Kamal Bhuyan, Yuji Iwahori:
Extraction of Key-frames of Endoscopic Videos by using Depth Information. - Alex Raymond, Matthew Malencia, Guilherme Paulino-Passos, Amanda Prorok:
Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution. - Neus Català, Jaume Baixeries, Ramon Ferrer-i-Cancho, Lluís Padró, Antoni Hernández-Fernández:
Zipf's laws of meaning in Catalan. - Samuel Kuhn, Nathan George:
Performance of OpenBCI EEG Binary Intent Classification with Laryngeal Imagery. - Wanning Pan, Lichao Sun:
Global Knowledge Distillation in Federated Learning. - Nicolas Loizou, Hugo Berard, Gauthier Gidel, Ioannis Mitliagkas, Simon Lacoste-Julien:
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity. - Roy Dong, Lillian J. Ratliff:
Which Echo Chamber? Regions of Attraction in Learning with Decision-Dependent Distributions. - Xianzhi Du, Barret Zoph, Wei-Chih Hung, Tsung-Yi Lin:
Simple Training Strategies and Model Scaling for Object Detection. - Mohammad Javad Shayegan, Kiarash Shamsi:
A Fair Method for Distributing Collective Assets in the Stellar Blockchain Financial Network. - Elizabeth Clark, Tal August, Sofia Serrano, Nikita Haduong, Suchin Gururangan, Noah A. Smith:
All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text. - HeuiChan Lim, Stephen G. Kobourov:
Visualizing The Intermediate Representation of Just-in-Time Compilers. - Jialiang Tan, Yu Chen, Zhenming Liu, Bin Ren, Shuaiwen Leon Song, Xipeng Shen, Xu Liu:
Toward Efficient Interactions between Python and Native Libraries. - Connor Scully-Allison, Katherine E. Isaacs:
Design and Evaluation of Scalable Representations of Communication in Gantt Charts for Large-scale Execution Traces. - Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation. - Zixiu Wang, Yiwen Guo, Hu Ding:
Robust Coreset for Continuous-and-Bounded Learning (with Outliers). - Christopher D. Cruz-Ancona, Leonid M. Fridman, Hussein Obeid, Salah Laghrouche:
A uniform reaching phase strategy in adaptive sliding mode control. - Yang Li, Shihao Ji:
Dep-L0: Improving L0-based Network Sparsification via Dependency Modeling. - David Schaller, Marc Hellmuth, Peter F. Stadler:
A Linear-Time Algorithm for the Common Refinement of Rooted Phylogenetic Trees on a Common Leaf Set. - Eman Abdullah AlOmar, Ben Christians, Mihal Busho, Ahmed Hamad AlKhalid, Ali Ouni, Christian D. Newman, Mohamed Wiem Mkaouer:
SATDBailiff- Mining and Tracking Self-Admitted Technical Debt. - Ian Bogle, Erik G. Boman, Karen D. Devine, Sivasankaran Rajamanickam, George M. Slota:
Parallel Graph Coloring Algorithms for Distributed GPU Environments. - William P. McCarthy, Robert D. Hawkins, Haoliang Wang, Cameron Holdaway, Judith E. Fan:
Learning to communicate about shared procedural abstractions. - Nikhil Muralidhar, Sathappan Muthiah, Patrick Butler, Manish Jain, Yu Yu, Katy Burne, Weipeng Li, David Jones, Prakash Arunachalam, Hays 'Skip' McCormick, Naren Ramakrishnan:
Using AntiPatterns to avoid MLOps Mistakes. - Benjamin J. Radford:
Regressing Location on Text for Probabilistic Geocoding. - Nuno Oliveira, Norberto Sousa, Isabel Praça:
A Search Engine for Scientific Publications: a Cybersecurity Case Study. - Ankit Singh:
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation. - Clément Aubert, Thomas Rubiano, Neea Rusch, Thomas Seiller:
An extended and more practical mwp flow analysis. - Ari Frankel, Cosmin Safta, Coleman Alleman, Reese E. Jones:
Mesh-based graph convolutional neural network models of processes with complex initial states. - Gaurab Bhattacharya:
From DNNs to GANs: Review of efficient hardware architectures for deep learning. - Craig Innes, Yordan Hristov, Georgios Kamaras, Subramanian Ramamoorthy:
Automatic Synthesis of Experiment Designs from Probabilistic Environment Specifications. - Marco A. Gómez, Christopher D. Cruz-Ancona, Leonid M. Fridman:
Super Twisting based Lyapunov Redesign for Uncertain Linear Delay Systems. - Pascal Notin, José Miguel Hernández-Lobato, Yarin Gal:
Improving black-box optimization in VAE latent space using decoder uncertainty. - Clément Aubert, Thomas Rubiano, Neea Rusch, Thomas Seiller:
An implementation of flow calculus for complexity analysis (tool paper). - Prateek Mishra, Kumar Divya Mani, Prashant Johri, Dikhsa Arya:
FCMI: Feature Correlation based Missing Data Imputation. - Xinyun Chen, Dawn Song, Yuandong Tian:
Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages. - Ruixiao Sun, Rongze Gui, Himanshu Neema, Yuche Chen, Juliette Ugirumurera, Joseph Severino, Philip Pugliese, Aron Laszka, Abhishek Dubey:
Transit-Gym: A Simulation and Evaluation Engine for Analysis of Bus Transit Systems. - Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise:
Classical Planning in Deep Latent Space. - Gopalan Nadathur, Mary Southern:
A Logic for Reasoning About LF Specifications. - Luis Lopez, Alvaro Gonzalez-Castellanos, David Pozo, Mardavij Roozbehani, Munther A. Dahleh:
QuickFlex: a Fast Algorithm for Flexible Region Construction for the TSO-DSO Coordination. - Farzan Memarian, Abolfazl Hashemi, Scott Niekum, Ufuk Topcu:
Robust Generative Adversarial Imitation Learning via Local Lipschitzness. - Ali Ayub, Huiqing Hu, Guangwei Zhou, Carter Fendley, Crystal Ramsay, Kathy Lou Jackson, Alan R. Wagner:
If you Cheat, I Cheat: Cheating on a Collaborative Task with a Social Robot. - Ashwinkumar Ganesan, Francis Ferraro, Tim Oates:
Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment. - Maphuthego Etu Maditsi, Thulani Phakathi, Francis Lugayizi, Michael Esiefarienrhe:
Global Systems Performance Analysis For Mobile Communications (GSM) using Cellular Network CODECS. - Yi-Hsuan Hsieh, Pei-Chi Huang, Aloysius K. Mok:
SQRP: Sensing Quality-aware Robot Programming System for Non-expert Programmers. - Alexander E. Beasley, Phil Ayres, Martin Tegelaar, Michail-Antisthenis I. Tsompanas, Andrew Adamatzky:
On electrical gates on fungal colony. - Arsha Nagrani, Shan Yang, Anurag Arnab, Aren Jansen, Cordelia Schmid, Chen Sun:
Attention Bottlenecks for Multimodal Fusion. - Beren Millidge:
Applications of the Free Energy Principle to Machine Learning and Neuroscience. - Takato Yasuno, Junichiro Fujii, Sakura Fukami:
One-class Steel Detector Using Patch GAN Discriminator for Visualising Anomalous Feature Map. - Martin Braquet, Efstathios Bakolas:
Greedy Decentralized Auction-based Task Allocation for Multi-Agent Systems. - Marcin Bienkowski, Martin Böhm, Martin Koutecký, Thomas Rothvoß, Jirí Sgall, Pavel Veselý:
Improved Analysis of Online Balanced Clustering. - Asad Ali Khan
, Omar Ali Beg, Sara Ahmed:
Intelligent Anomaly Mitigation in Cyber-Physical Inverter-based Systems. - Shuyang Cao, Lu Wang:
Controllable Open-ended Question Generation with A New Question Type Ontology. - Kartik Shenoy, Filip Ilievski, Daniel Garijo, Daniel Schwabe, Pedro A. Szekely:
A Study of the Quality of Wikidata. - Zhiming Li, Xiaofei Xie, Haoliang Li, Zhengzi Xu, Yi Li, Yang Liu:
Cross-Lingual Adaptation for Type Inference. - Nuh Aydin, R. Oliver VandenBerg:
A New Algorithm for Equivalence of Cyclic Codes and Its Applications. - Simon Julien, Amirhossein Sajadi, Bri-Mathias S. Hodge:
Hierarchical Control of Utility-Scale Solar PV Plants for Mitigation of Generation Variability and Ancillary Service Provision. - Qing Wang:
The Use of Bandit Algorithms in Intelligent Interactive Recommender Systems. - Seung-Seob Lee, Yanpeng Yu, Yupeng Tang, Anurag Khandelwal, Lin Zhong, Abhishek Bhattacharjee:
MIND: In-Network Memory Management for Disaggregated Data Centers. - Justin Luke, Mauro Salazar, Ram Rajagopal, Marco Pavone:
Joint Optimization of Autonomous Electric Vehicle Fleet Operations and Charging Station Siting. - Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang:
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? - Keli Xie, Siyuan Lu, Meiqi Wang, Zhongfeng Wang:
Elbert: Fast Albert with Confidence-Window Based Early Exit. - Shweta Yadav, Deepak Gupta, Asma Ben Abacha, Dina Demner-Fushman:
Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards. - Chengdong Liang, Junqi Chen, Shanzheng Guan, Xiao-Lei Zhang:
Attention-based multi-channel speaker verification with ad-hoc microphone arrays. - Zhen Huang, Xu Shen, Jun Xing, Tongliang Liu, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-Sheng Hua:
Revisiting Knowledge Distillation: An Inheritance and Exploration Framework. - Fan-Qi Ma, Quan-Lin Li, Yi-Han Liu, Yan-Xia Chang:
Stochastic Performance Modeling for Practical Byzantine Fault Tolerance Consensus in Blockchain. - Yongqi Zhang, Zhanke Zhou, Quanming Yao:
AutoSF+: Towards Automatic Scoring Function Design for Knowledge Graph Embedding. - Soheil Saraji, Mike Borowczak:
A Blockchain-based Carbon Credit Ecosystem. - Zhiyuan Guo, Yuexin Li, Guo Chen, Xingyu Chen, Akshat Gupta:
Word-Free Spoken Language Understanding for Mandarin-Chinese. - Renato Luiz de Freitas Cunha, Lucas Villa Real, Renan Souza, Bruno Silva, Marco A. S. Netto:
Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds. - Xiangyu Xi, Wei Ye, Shikun Zhang, Quanxiu Wang, Huixing Jiang, Wei Wu:
Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder. - Wonju Lee, Seok-Yong Byun, Jooeun Kim, Minje Park, Kirill Chechil:
Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection. - Mingrui Yu, Hanzhong Zhong, Fangxun Zhong, Xiang Li:
Adaptive Control for Robotic Manipulation of Deformable Linear Objects with Offline and Online Learning of Unknown Models. - Han-Jia Ye, Lu Ming, De-Chuan Zhan, Wei-Lun Chao:
Few-Shot Learning with a Strong Teacher. - Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah:
Social Coordination and Altruism in Autonomous Driving. - Wenjun Zeng, Yi Liu:
Markov Decision Process modeled with Bandits for Sequential Decision Making in Linear-flow. - Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Zhenyu Guo, Yang Liu, Yao Zhao:
Multi-modal Graph Learning for Disease Prediction. - Satoshi Ohara, Tetsuya Ogata, Hiromitsu Awano:
Binary Neural Network in Robotic Manipulation: Flexible Object Manipulation for Humanoid Robot Using Partially Binarized Auto-Encoder on FPGA. - Jingbo Liu:
A Few Interactions Improve Distributed Nonparametric Estimation, Optimally. - Sayma Sultana, London Ariel Cavaletto, Amiangshu Bosu:
Identifying the Prevalence of Gender Biases among the Computing Organizations. - Parul Khurana, Geetha Ganesan, Gulshan Kumar, Kiran Sharma:
Proof of Reference(PoR): A unified informetrics based consensus mechanism. - Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Christopher Bogart, R. Charles Murray, Haokang An, Michael Hilton, Majd Sakr, Carolyn P. Rosé:
Comparing Example-Based Collaborative Reflection to Problem Solving Practice for Learning during Team-Based Software Engineering Projects. - Brian Liu, Miaolan Xie, Madeleine Udell:
ControlBurn: Feature Selection by Sparse Forests. - Jing Zhao, Jingya Wang, Madhav Sigdel, Bopeng Zhang, Phuong Hoang, Mengshu Liu, Mohammed Korayem:
Embedding-based Recommender System for Job to Candidate Matching on Scale. - Mi Tian, Qiong Nie, Hao Shen, Xiahua Xia:
Deep auxiliary learning for visual localization using colorization task. - Kei Uchizawa, Haruki Abe:
Circuit Complexity of Visual Search. - K. K. Krishnan Namboodiri, B. Sundar Rajan:
Multi-Access Coded Caching with Demand Privacy. - Chi Zhang, Wei Zeng, Ligang Liu:
UrbanVR: An immersive analytics system for context-aware urban design. - Marc Fischer, Maximilian Baader, Martin T. Vechev:
Scalable Certified Segmentation via Randomized Smoothing. - Yonghao Long, Zhaoshuo Li, Chi Hang Yee, Chi-Fai Ng, Russell H. Taylor, Mathias Unberath, Qi Dou:
E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception. - Binghui Li, Shiji Xin, Qizhe Zhang:
Boosting Certified 𝓁∞ Robustness with EMA Method and Ensemble Model. - Bochen Li, Yuxuan Wang, Zhiyao Duan:
Audiovisual Singing Voice Separation. - Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang:
FedMix: Approximation of Mixup under Mean Augmented Federated Learning. - Nguyen Quang Hieu, Dinh Thai Hoang, Dusit Niyato, Dong In Kim:
Optimal Power Allocation for Rate Splitting Communications with Deep Reinforcement Learning. - Dexiang Hong, Congcong Li, Longyin Wen, Xinyao Wang, Libo Zhang:
Generic Event Boundary Detection Challenge at CVPR 2021 Technical Report: Cascaded Temporal Attention Network (CASTANET). - Shreya Shrestha Meel, B. Sundar Rajan:
Secretive Coded Caching with Shared Caches. - Jonathan Wenger, Geoff Pleiss, Philipp Hennig, John P. Cunningham, Jacob R. Gardner:
Reducing the Variance of Gaussian Process Hyperparameter Optimization with Preconditioning. - Stepan Dergachev, Konstantin S. Yakovlev:
Distributed Multi-agent Navigation Based on Reciprocal Collision Avoidance and Locally Confined Multi-agent Path Finding. - Alireza Mousavi Hosseini, Amir Mohammad Abouei, Mohammad Hossein Rohban:
The Interplay between Distribution Parameters and the Accuracy-Robustness Tradeoff in Classification. - Jing Liu, Xinxin Zhu, Fei Liu, Longteng Guo, Zijia Zhao, Mingzhen Sun, Weining Wang, Hanqing Lu, Shiyu Zhou, Jiajun Zhang, Jinqiao Wang:
OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation. - Quentin F. Stout:
Lp Isotonic Regression Algorithms Using an L0 Approach. - Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan:
AdaXpert: Adapting Neural Architecture for Growing Data. - Pierre Vuillemin, David Quero Martin, Charles Poussot-Vassal:
Performance evaluation of gust load alleviation systems for flexible aircraft via optimal control. - Heike Wehrheim:
On the (Non-)Applicability of a Small Model Theorem to Model Checking STMs. - David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson:
A Survey on Graph-Based Deep Learning for Computational Histopathology. - Kenji Koide, Masashi Yokozuka, Shuji Oishi, Atsuhiko Banno:
Adaptive Hyperparameter Tuning for Black-box LiDAR Odometry. - Dan Liu, Mengge Du, Xiaoxi Li, Yuchen Hu, Lirong Dai:
The USTC-NELSLIP Systems for Simultaneous Speech Translation Task at IWSLT 2021. - Anne Lauscher, Henning Wachsmuth, Iryna Gurevych, Goran Glavas:
Scientia Potentia Est - On the Role of Knowledge in Computational Argumentation. - Kai Liu, Yuyang Zhao, Gang Wang, Bei Peng:
SA-MATD3: Self-attention-based multi-agent continuous control method in cooperative environments. - Xin Liu, Henglin Shi, Haoyu Chen, Zitong Yu, Xiaobai Li, Guoying Zhao:
iMiGUE: An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion Analysis. - Lucia Nasti, Roberta Gori, Paolo Milazzo, Federico Poloni:
Efficient Analysis of Chemical Reaction Networks Dynamics based on Input-Output Monotonicity. - Bidisha Sharma, S. R. Mahadeva Prasanna:
Sonority Measurement Using System, Source, and Suprasegmental Information. - Rui Yang, Meng Fang, Lei Han, Yali Du, Feng Luo, Xiu Li:
MHER: Model-based Hindsight Experience Replay. - Bence Mark Halpern, Julian Fritsch, Enno Hermann, Rob van Son, Odette Scharenborg, Mathew Magimai-Doss:
An Objective Evaluation Framework for Pathological Speech Synthesis. - Haibin Wu, Po-Chun Hsu, Ji Gao, Shanshan Zhang, Shen Huang, Jian Kang, Zhiyong Wu, Helen Meng, Hung-yi Lee:
Spotting adversarial samples for speaker verification by neural vocoders. - Joeri Sleegers, Daan van den Berg:
Backtracking (the) Algorithms on the Hamiltonian Cycle Problem. - Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems. - Qiwei Zhong, Guanxiong Zeng, Danqing Zhu, Yang Zhang, Wangli Lin, Ben Chen, Jiayu Tang:
Leveraging Domain Agnostic and Specific Knowledge for Acronym Disambiguation. - Fredrik Präntare, Mattias Tiger, David Bergström, Herman Appelgren, Fredrik Heintz:
Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms. - Ryokan Ri, Toshiaki Nakazawa, Yoshimasa Tsuruoka:
Zero-pronoun Data Augmentation for Japanese-to-English Translation. - Giuseppe Della Penna, Benedetto Intrigila, Giulio Manzonetto:
Addressing Machines as models of lambda-calculus. - Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace:
Combining Feature and Instance Attribution to Detect Artifacts. - Ales Jelinek, Adam Ligocki, Ludek Zalud:
Robotic Template Library. - Ming Zhang, Xuefei Zhe, Hong Yan:
Orthonormal Product Quantization Network for Scalable Face Image Retrieval. - Shurun Wang, Zhao Wang, Shiqi Wang, Yan Ye:
End-to-end Compression Towards Machine Vision: Network Architecture Design and Optimization. - Wenjing Huang, Zhigang Li, Mohammad Shahidehpour, J. H. Zheng:
Real-time Dispatchable Region of Active Distribution Networks Based on a Tight Convex Relaxation Model. - Marco Salucci, Lorenzo Poli, Paolo Rocca, Andrea Massa:
Learned Global Optimization for Inverse Scattering Problems - Matching Global Search with Computational Efficiency. - Xavier Gómez Guinovart, Itziar Gonzalez-Dios, Antoni Oliver, German Rigau:
Multilingual Central Repository: a Cross-lingual Framework for Developing Wordnets. - Ryokan Ri, Toshiaki Nakazawa, Yoshimasa Tsuruoka:
Modeling Target-side Inflection in Placeholder Translation. - Chiara Plizzari, Mirco Planamente, Emanuele Alberti, Barbara Caputo:
PoliTO-IIT Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition. - Grace Zhang, Linghan Zhong, Youngwoon Lee, Joseph J. Lim:
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding. - Amir Hossein Zarif, Paeiz Azmi, Nader Mokari, Mohammad Reza Javan, Eduard A. Jorswieck:
AoI Minimization in Energy Harvesting and Spectrum Sharing Enabled 6G Networks. - Gonzague Yernaux, Wim Vanhoof:
Technical Report: Anti-unification of Unordered Goals. - Kunyu Peng, Juncong Fei, Kailun Yang, Alina Roitberg, Jiaming Zhang, Frank Bieder, Philipp Heidenreich, Christoph Stiller, Rainer Stiefelhagen:
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding. - Mariia Bakhtina, Raimundas Matulevicius:
Information Security Analysis in the Passenger-Autonomous Vehicle Interaction. - Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis:
Modelling Moral Traits with Music Listening Preferences and Demographics. - Jeonghyun Byun, Dongjae Lee, Hoseong Seo, Inkyu Jang, Jeongjun Choi, H. Jin Kim:
Stability and Robustness Analysis of Plug-Pulling using an Aerial Manipulator. - Tomer Ezra, Michal Feldman, Ron Kupfer:
Prophet Inequality with Competing Agents. - Wei-Hong Li, Xialei Liu, Hakan Bilen:
Improving Task Adaptation for Cross-domain Few-shot Learning. - Hadi Beik-Mohammadi, Matthias Kerzel, Benedikt Pleintinger, Thomas Hulin, Philipp Reisich, Annika Schmidt, Aaron Pereira, Stefan Wermter, Neal Y. Lii:
Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning. - Nina Schaaf, Omar de Mitri, Hang Beom Kim, Alexander Windberger, Marco F. Huber:
Towards Measuring Bias in Image Classification. - Elizabath Peter, B. Sundar Rajan:
Coded Caching with Shared Caches from Generalized Placement Delivery Arrays. - Claudio Piciarelli, Gian Luca Foresti:
Drone swarm patrolling with uneven coverage requirements. - Etai Littwin, Omid Saremi, Shuangfei Zhai, Vimal Thilak, Hanlin Goh, Joshua M. Susskind, Greg Yang:
Implicit Acceleration and Feature Learning in Infinitely Wide Neural Networks with Bottlenecks. - Hamed Damirchi, Rooholla Khorrambakht, Hamid D. Taghirad, Behzad Moshiri:
A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation. - Razieh Baradaran, Hossein Amirkhani:
Ensemble Learning-Based Approach for Improving Generalization Capability of Machine Reading Comprehension Systems. - Federico Igne, Stefano Germano, Ian Horrocks:
Computing CQ lower-bounds over OWL 2 through approximation to RSA. - Jianing Qiu, Frank Po Wen Lo, Xiao Gu, Modou L. Jobarteh, Wenyan Jia, Tom Baranowski, Matilda Steiner-Asiedu, Alex K. Anderson, Megan A. McCrory, Edward Sazonov, Mingui Sun, Gary S. Frost, Benny Lo:
Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring. - Francisco Martín, Jonatan Ginés, Vicente Matellán, Francisco J. Rodríguez:
PlanSys2: A Planning System Framework for ROS2. - Enes Yigitbas, Jonas Klauke, Sebastian Gottschalk, Gregor Engels:
VREUD - An End-User Development Tool to Simplify the Creation of Interactive VR Scenes. - Florian Wörz, Jan-Hendrik Lorenz:
Evidence for Long-Tails in SLS Algorithms. - Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Yong Liu:
SSC: Semantic Scan Context for Large-Scale Place Recognition. - Alessandro Buccini, Patricia Diaz de Alba:
A variational non-linear constrained model for the inversion of FDEM data. - Xiaodong Liu, Shixu Meng, Bo Zhang:
Modified sampling method with near field measurements. - Nan Gao, Mohammad Saiedur Rahaman, Wei Shao, Flora D. Salim:
Investigating the Reliability of Self-report Survey in the Wild: The Quest for Ground Truth. - Yunxin Li, Yu Zhao, Baotian Hu, Qingcai Chen, Yang Xiang, Xiaolong Wang, Yuxin Ding, Lin Ma:
GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph. - Konstantin B. Bulatov, Ekaterina Emelianova, Daniil V. Tropin, Natalya Skoryukina, Yulia S. Chernyshova, Alexander Sheshkus, Sergey A. Usilin, Zuheng Ming, Jean-Christophe Burie, Muhammad Muzzamil Luqman, Vladimir V. Arlazarov:
MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis. - Léon Victor, Alexandre Meyer, Saïda Bouakaz:
Learning-based pose edition for efficient and interactive design. - Shreya Shrestha Meel, B. Sundar Rajan:
Secretive Coded Caching from PDAs. - Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor. - Rajni Dabas, Neelima Gupta:
On Variants of Facility Location Problem with Outliers. - Amit Gajbhiye, Marina Fomicheva, Fernando Alva-Manchego, Frédéric Blain, Abiola Obamuyide, Nikolaos Aletras, Lucia Specia:
Knowledge Distillation for Quality Estimation. - Anne Lauscher, Brandon Ko, Bailey Kuehl, Sophie Johnson, David Jurgens, Arman Cohan, Kyle Lo:
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting. - Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique:
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks. - Christian Göttel, Konstantinos Parasyris, Osman S. Unsal, Pascal Felber, Marcelo Pasin, Valerio Schiavoni:
Scrooge Attack: Undervolting ARM Processors for Profit. - Joe Stubbs, Suresh Marru, Daniel Mejia, Daniel S. Katz, Kyle Chard, Maytal Dahan, Marlon E. Pierce, Michael G. Zentner:
Toward Interoperable Cyberinfrastructure: Common Descriptions for Computational Resources and Applications. - Tingting Liang, Xiaojie Chu, Yudong Liu, Yongtao Wang, Zhi Tang, Wei Chu, Jingdong Chen, Haibin Ling:
CBNetV2: A Composite Backbone Network Architecture for Object Detection. - (Withdrawn) Machine learning based iterative learning control for non-repetitive time-varying systems.
- Stefan Becker, Ronny Hug, Wolfgang Hübner, Michael Arens, Brendan Tran Morris:
Generating Synthetic Training Data for Deep Learning-Based UAV Trajectory Prediction. - Alejandro Morales Hernández, Gonzalo Nápoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro, Koen Vanhoof:
Online learning of windmill time series using Long Short-term Cognitive Networks. - Yu-Wei Chang, Laura Natali, Oveis Jamialahmadi, Stefano Romeo, Joana B. Pereira, Giovanni Volpe:
Neural Network Training with Highly Incomplete Datasets. - Bo Liu, Shuang Deng, Qiulei Dong, Zhanyi Hu:
Segmenting 3D Hybrid Scenes via Zero-Shot Learning. - Guilherme Ramos, Daniel Silvestre, Carlos Silvestre:
A Discrete-time Reputation-based Resilient Consensus Algorithm for Synchronous or Asynchronous Communications. - Zicong Fan, Adrian Spurr, Muhammed Kocabas, Siyu Tang, Michael J. Black, Otmar Hilliges:
Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation. - Erik Larsen, David Noever, Korey MacVittie, John Lilly:
Overhead-MNIST: Machine Learning Baselines for Image Classification. - Shammur Absar Chowdhury, Nadir Durrani, Ahmed Ali:
What do End-to-End Speech Models Learn about Speaker, Language and Channel Information? A Layer-wise and Neuron-level Analysis. - Dong Wang, Ning Ding, Piji Li, Haitao Zheng:
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding. - Liu Leqi, Dylan Hadfield-Menell, Zachary C. Lipton:
When Curation Becomes Creation: Algorithms, Microcontent, and the Vanishing Distinction between Platforms and Creators. - Liam Wellacott, Emilyann Nault, Ioannis Skottis, Alexandre Colle, Shreyank N. Gowda, Pierre Nicolay, Emily Rolley-Parnell:
Test Framework for a Virtual Competition Testbed. - Moses Ganardi:
Compression by Contracting Straight-Line Programs. - (Withdrawn) VideoLightFormer: Lightweight Action Recognition using Transformers.
- Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima:
Crowdsourcing Evaluation of Saliency-based XAI Methods. - Rahul Nellikkath, Spyros Chatzivasileiadis:
Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow. - Nadejda Roubtsova, Martin Parsons, Nicola Binetti, Isabelle Mareschal, Essi Viding, Darren Cosker:
EmoGen: Quantifiable Emotion Generation and Analysis for Experimental Psychology. - Wanlu Lei, Yu Ye, Ming Xiao, Mikael Skoglund, Zhu Han:
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT. - Xiongjie Chen, Hao Wen, Yunpeng Li:
Differentiable Particle Filters through Conditional Normalizing Flow. - Hao Lou, Farzad Farnoud:
Data Deduplication with Random Substitutions. - Boxiang Dong, Bo Zhang, Wendy Hui Wang:
VeriDL: Integrity Verification of Outsourced Deep Learning Services (Extended Version). - Xufeng Lin, Chang-Tsun Li, Victor Sanchez, Carsten Maple:
On the detection-to-track association for online multi-object tracking. - Marcel Keller, Ke Sun:
Secure Quantized Training for Deep Learning. - Qing Cheng, Jie Shen:
A new Lagrange multiplier approach for constructing positivity preserving schemes. - Han-Chih Chang, Jianwei Li, Ching-Seh Wu, Mark Stamp:
Machine Learning and Deep Learning for Fixed-Text Keystroke Dynamics. - Wenkai Chen, Hongzhuo Liang, Zhaopeng Chen, Fuchun Sun, Jianwei Zhang:
TransSC: Transformer-based Shape Completion for Grasp Evaluation. - Muntabir Hasan Choudhury, Himarsha R. Jayanetti, Jian Wu, William A. Ingram, Edward A. Fox:
Automatic Metadata Extraction Incorporating Visual Features from Scanned Electronic Theses and Dissertations. - Aahlad Manas Puli, Lily H. Zhang, Eric K. Oermann, Rajesh Ranganath:
Predictive Modeling in the Presence of Nuisance-Induced Spurious Correlations. - Chaitanya Koparkar, Mike Rainey, Michael Vollmer, Milind Kulkarni, Ryan R. Newton:
Efficient Tree-Traversals: Reconciling Parallelism and Dense Data Representations. - Xinlin Xia, Shang Wang, Han Zhang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang:
SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search. - Alexander Braun, Matthias Buttkus, Thomas Kesselheim:
Asymptotically Optimal Welfare of Posted Pricing for Multiple Items with MHR Distributions. - Lars Malmqvist, Tommy Yuan, Suresh Manandhar:
Visualising Argumentation Graphs with Graph Embeddings and t-SNE. - Tommaso Benciolini, Tim Brüdigam, Marion Leibold:
Multistage Stochastic Model Predictive Control for Urban Automated Driving. - Daniel Grujic, Tabea Henning, Emilio José Calleja García, Andre Bergmann:
Testing a Battery Management System via Criticality-based Rare Event Simulation. - Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Kenneth W. Dunn:
Towards a fairer reimbursement system for burn patients using cost-sensitive classification. - Yijing Liu, Xiang Zhang, Renchang Dai, Guangyi Liu:
Using Terminal Circuit for Power System Electromagnetic Transient Simulation. - Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev:
Goal-Conditioned Reinforcement Learning with Imagined Subgoals. - Mohammad Samin Yasar, Tariq Iqbal:
Improving Human Motion Prediction Through Continual Learning. - Lukas Brencher, Andrea Barth:
Scalar conservation laws with stochastic discontinuous flux function. - Nicolas Hlad, Abdelhak-Djamel Seriai, Christophe Dony:
IsiSPL: Toward an Automated Reactive Approach to build Software Product Lines. - Alexandros Nikolaos Ziogas, Timo Schneider, Tal Ben-Nun, Alexandru Calotoiu, Tiziano De Matteis, Johannes de Fine Licht, Luca Lavarini, Torsten Hoefler:
Productivity, Portability, Performance: Data-Centric Python. - Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani, Rachid Harba:
SALYPATH: A Deep-Based Architecture for visual attention prediction. - Nelson Manohar-Alers, Ryan Feng, Sahib Singh, Jiguo Song, Atul Prakash:
Using Anomaly Feature Vectors for Detecting, Classifying and Warning of Outlier Adversarial Examples. - Aart J. C. Bik:
A Note on Exhaustive State Space Search for Efficient Code Generation. - Jonas Cremerius, Mathias Weske:
Data-Enhanced Process Models in Process Mining. - Marcus Lewis:
Hippocampal Spatial Mapping As Fast Graph Learning. - Amirhossein Khosravipour:
Proposed new dynamic power insertion method for stabilized power generation based on battery energy storage system. - Pierre Gillot, Pekka Parviainen:
Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics. - Evripidis Bampis, Christoph Dürr, Thomas Erlebach, Murilo S. de Lima, Nicole Megow, Jens Schlöter:
Orienting (hyper)graphs under explorable stochastic uncertainty. - Anna Angelogianni, Ilias Politis, Christos Xenakis:
How many FIDO protocols are needed? Surveying the design, security and market perspectives. - Hannes Salin, Dennis Fokin:
Mission Impossible: Securing Master Keys. - Reuben Dorent, Samuel Joutard, Jonathan Shapey, Aaron Kujawa, Marc Modat, Sébastien Ourselin, Tom Vercauteren:
Inter Extreme Points Geodesics for Weakly Supervised Segmentation. - Claudio M. Qureshi, Lucas Reis:
On the functional graph of the power map over finite groups. - Hessah Albanwan, Rongjun Qin, Xiaohu Lu, Mao Li, Desheng Liu, Jean-Michel Guldmann:
3D Iterative Spatiotemporal Filtering for Classification of Multitemporal Satellite Data Sets. - Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin:
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble. - Changlin Xiao, Rongjun Qin, Xiao Xie, Xu Huang:
Individual Tree Detection and Crown Delineation with 3D Information from Multi-view Satellite Images. - Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich:
Impact Remediation: Optimal Interventions to Reduce Inequality. - Ziwei Ji, Nathan Srebro, Matus Telgarsky:
Fast Margin Maximization via Dual Acceleration. - Sriram Pingali, Shweta Yadav, Pratik Dutta, Sriparna Saha:
Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction. - Xiao Ling, Xu Huang, Rongjun Qin:
A Unified Framework of Bundle Adjustment and Feature Matching for High-Resolution Satellite Images. - Vittorio Mazzia, Simone Angarano, Francesco Salvetti, Federico Angelini, Marcello Chiaberge:
Action Transformer: A Self-Attention Model for Short-Time Human Action Recognition. - Byron Heersink, Pape M. Sylla, Michael A. Warren:
Formal verification of octorotor flight envelope using barrier functions and SMT solving. - Fengmin Zhu, Fei He:
EqFix: Fixing LaTeX Equation Errors by Examples. - Prabhu Kaliyammal Thiruvasagam, Abhishek Chakraborty, C. Siva Ram Murthy:
Resilient and Latency-aware Orchestration of Network Slices Using Multi-connectivity in MEC-enabled 5G Networks. - Yogesh Phalak:
Design, Modelling and Control of SPIROS: The Six Propellers and Intermeshing Rotors Based Omnidirectional Spherical Robot. - Eduardo Fonseca, Andres Ferraro, Xavier Serra:
Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks. - Junqing Huang, Haihui Wang, Xuechao Wang, Michael V. Ruzhansky:
Semi-Sparsity for Smoothing Filters. - Radu Curticapean, Holger Dell, Thore Husfeldt:
Modular counting of subgraphs: Matchings, matching-splittable graphs, and paths. - Diederik P. Kingma, Tim Salimans, Ben Poole, Jonathan Ho:
Variational Diffusion Models. - Andrea Dittadi, Samuele Papa, Michele De Vita, Bernhard Schölkopf, Ole Winther, Francesco Locatello:
Generalization and Robustness Implications in Object-Centric Learning. - Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Xiyang Dai, Bin Xiao, Lu Yuan, Jianfeng Gao:
Focal Self-attention for Local-Global Interactions in Vision Transformers. - Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré:
Mandoline: Model Evaluation under Distribution Shift. - Nicklas Hansen, Hao Su, Xiaolong Wang:
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation. - Yongming Rao, Wenliang Zhao, Zheng Zhu, Jiwen Lu, Jie Zhou:
Global Filter Networks for Image Classification. - Yen-Chen Lin, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin:
Learning to See before Learning to Act: Visual Pre-training for Manipulation. - Nathaniel Braman, Jacob W. H. Gordon, Emery T. Goossens, Caleb Willis, Martin C. Stumpe, Jagadish Venkataraman:
Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data. - Janis Postels, Mattia Segù, Tao Sun, Luc Van Gool, Fisher Yu, Federico Tombari:
On the Practicality of Deterministic Epistemic Uncertainty. - Medhini Narasimhan, Anna Rohrbach, Trevor Darrell:
CLIP-It! Language-Guided Video Summarization. - Minghao Chen, Houwen Peng, Jianlong Fu, Haibin Ling:
AutoFormer: Searching Transformers for Visual Recognition. - Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Weiming Zhang, Nenghai Yu, Lu Yuan, Dong Chen, Baining Guo:
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows. - Yu Shi:
Transformer-F: A Transformer network with effective methods for learning universal sentence representation. - Lisa Benato, Erik Buhmann, Martin Erdmann, Peter Fackeldey, Jonas Glombitza, Nikolai Hartmann, Gregor Kasieczka, William Korcari, Thomas Kuhr, Jan Steinheimer, Horst Stöcker, Tilman Plehn, Kai Zhou:
Shared Data and Algorithms for Deep Learning in Fundamental Physics. - Sumanth Doddapaneni, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
A Primer on Pretrained Multilingual Language Models. - (Withdrawn) Efficient Attribute-Based Smart Contract Access Control Enhanced by Reputation Assessment.
- Yi Liu, Lihong Li:
A Map of Bandits for E-commerce. - Michael Noseworthy, Caris Moses, Isaiah Brand, Sebastian Castro, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy:
Active Learning of Abstract Plan Feasibility. - Sujoy Bhore, Csaba D. Tóth:
Online Euclidean Spanners. - Zehao Dou, Zhuoran Yang, Zhaoran Wang, Simon S. Du:
Gap-Dependent Bounds for Two-Player Markov Games. - Youngjoo Kim:
Aerial Map-Based Navigation Using Semantic Segmentation and Pattern Matching. - Manolis Chiou, Faye McCabe, Markella Grigoriou, Rustam Stolkin:
Trust, Shared Understanding and Locus of Control in Mixed-Initiative Robotic Systems. - S. Ehsan Mirsadeghi, Ali Royat, Hamid Rezatofighi:
Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial Regularization. - Brendan Shillingford, Yannis M. Assael, Misha Denil:
Interactive decoding of words from visual speech recognition models. - Diego Aghi, Simone Cerrato, Vittorio Mazzia, Marcello Chiaberge:
Deep Semantic Segmentation at the Edge for Autonomous Navigation in Vineyard Rows. - Anssi Kanervisto, Christian Scheller, Yanick Schraner, Ville Hautamäki:
Distilling Reinforcement Learning Tricks for Video Games. - Junqing Huang, Michael V. Ruzhansky, Qianying Zhang, Haihui Wang:
Intrinsic Image Transfer for Illumination Manipulation. - Jiahui Zhang, Shijian Lu, Fangneng Zhan, Yingchen Yu:
Blind Image Super-Resolution via Contrastive Representation Learning. - Ulysse Côté Allard, Petter Jakobsen, Andrea Stautland, Tine Nordgreen, Ole Bernt Fasmer, Ketil Joachim Oedegaard, Jim Tørresen:
Long-Short Ensemble Network for Bipolar Manic-Euthymic State Recognition Based on Wrist-worn Sensors. - Dmitry Levando:
Formation of coalition structures as a non-cooperative game. - Manuel Rebol, Christian Gütl, Krzysztof Pietroszek:
Passing a Non-verbal Turing Test: Evaluating Gesture Animations Generated from Speech. - Guilherme B. Araújo, Maycon L. M. Peixoto, Leobino N. Sampaio:
NDN4IVC: A Framework for Simulating and Testing of Applications in Vehicular Named Data Networking. - Suraj Kothawade, Nathan Beck, KrishnaTeja Killamsetty, Rishabh K. Iyer:
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios. - Abdalkarim Mohtasib, Amir Ghalamzan E, Nicola Bellotto, Heriberto Cuayáhuitl:
Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations. - Siddharth Priya, Xiang Zhou, Yusen Su, Yakir Vizel, Yuyan Bao, Arie Gurfinkel:
Verifying Verified Code. - Shanu Kumar, Vinod Kumar Kurmi, Praphul Singh, Vinay P. Namboodiri:
Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation. - Ruoyu Wang, Daniel Sun, Guoqiang Li, Raymond K. Wong, Shiping Chen:
Essence of Factual Knowledge. - Anubhab Ghosh, Antoine Honoré, Dong Liu, Gustav Eje Henter, Saikat Chatterjee:
Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability. - Kanishk, Shashwat Patnaik:
Design Optimization of Monoblade Autorotating Pods To Exhibit an Unconventional Descent Technique Using Glauert's Modelling. - Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood:
q-Paths: Generalizing the Geometric Annealing Path using Power Means. - Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Md. Saifuddin Khalid, Nizar Zorba:
Case study of Innovative Teaching Practices and their Impact for Electrical Engineering Courses during COVID-19 Pandemic. - Vaden Masrani:
Proof of the impossibility of probabilistic induction. - Nitish Joshi, He He:
An Investigation of the (In)effectiveness of Counterfactually Augmented Data. - Sabah Al-Fedaghi:
TMUML: A Singular TM Model with UML Use Cases and Classes. - Greg d'Eon, Jason d'Eon, James R. Wright, Kevin Leyton-Brown:
The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models. - Elia Costa, Francesco Silvestri:
On the Bike Spreading Problem. - Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira:
Enhancing Multi-Robot Perception via Learned Data Association. - Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira:
Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking. - Scott Gilroy, Derek Lau, Lizhi Yang, Ed Izaguirre, Kristen Biermayer, Anxing Xiao, Mengti Sun, Ayush Agrawal, Jun Zeng, Zhongyu Li, Koushil Sreenath:
Autonomous Navigation for Quadrupedal Robots with Optimized Jumping through Constrained Obstacles. - Hossein Esfandiari, Vahab S. Mirrokni, Shyam Narayanan:
Almost Tight Approximation Algorithms for Explainable Clustering. - Hong-You Chen, Wei-Lun Chao:
On Bridging Generic and Personalized Federated Learning. - Yunhe Gao, Mu Zhou, Dimitris N. Metaxas:
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation. - Huajun Liu, Fuqiang Liu, Xinyi Fan, Dong Huang:
Polarized Self-Attention: Towards High-quality Pixel-wise Regression. - Yunhan Huang, Linan Huang, Quanyan Zhu:
Reinforcement Learning for Feedback-Enabled Cyber Resilience. - Motonari Kambara, Komei Sugiura:
Case Relation Transformer: A Crossmodal Language Generation Model for Fetching Instructions. - Kevin Xia, Kai-Zhan Lee, Yoshua Bengio, Elias Bareinboim:
The Causal-Neural Connection: Expressiveness, Learnability, and Inference. - John Chen, Qihan Wang, Anastasios Kyrillidis:
Mitigating deep double descent by concatenating inputs. - Konstantin Makarychev, Liren Shan:
Near-optimal Algorithms for Explainable k-Medians and k-Means. - Yuxin Deng, Yuan Feng:
Formal Semantics of a Classical-Quantum Language. - Ahmed Ibrahim, Ebrahim Bedeer, Halim Yanikomeroglu:
A Novel Low Complexity Faster-than-Nyquist (FTN) Signaling Detector for Ultra High-Order QAM. - Nanjiang Jiang, Marie-Catherine de Marneffe:
He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics. - Xiaoni Li, Yucan Zhou, Yu Zhou, Weiping Wang:
MMF: Multi-Task Multi-Structure Fusion for Hierarchical Image Classification. - Shintaro Ishikawa, Komei Sugiura:
Target-dependent UNITER: A Transformer-Based Multimodal Language Comprehension Model for Domestic Service Robots. - Changxin Qiu, Jue Yan:
Cell-average based neural network method for hyperbolic and parabolic partial differential equations. - Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara:
Few-shot Learning for Unsupervised Feature Selection. - Shubham Shukla, Lokesh Kumar, Titas Bera, Ranjan Dasgupta:
A Levy Flight based Narrow Passage Sampling Method for Probabilistic Roadmap Planners. - Pengcheng Wang, Lingqiao Ji, Zhilong Ji, Yuan Gao, Xiao Liu:
1st Place Solutions for UG2+ Challenge 2021 - (Semi-)supervised Face detection in the low light condition. - Guy Blanc, Jane Lange, Mingda Qiao, Li-Yang Tan:
Decision tree heuristics can fail, even in the smoothed setting. - Yu-Hsuan Shih, Georg Stadler, Florian Wechsung:
Robust multigrid techniques for augmented Lagrangian preconditioning of incompressible Stokes equations with extreme viscosity variations. - Vishnu Banna, Akhil Chinnakotla, Zhengxin Yan, Anirudh Vegesana, Naveen Vivek, Kruthi Krishnappa, Wenxin Jiang, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis:
An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors. - Han Wang, Chen Wang, Chun-Lin Chen, Lihua Xie:
F-LOAM: Fast LiDAR Odometry And Mapping. - Mihaela Curmei, Sarah Dean, Benjamin Recht:
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability. - Nazmul Karim, Alireza Zaeemzadeh, Nazanin Rahnavard:
RL-NCS: Reinforcement learning based data-driven approach for nonuniform compressed sensing. - Feng Gao, Jiancheng Ni, Peng Gao, Zili Zhou, Yan-Yan Li, Hamido Fujita:
Heterogeneous Graph Attention Network for Multi-hop Machine Reading Comprehension. - Hongji Yang, Xiufan Lu, Yingying Zhu:
Cross-view Geo-localization with Evolving Transformer. - Younsik Kim, Dongjin Oh, Soonsang Huh, Dongjoon Song, Sunbeom Jeong, Junyoung Kwon, Minsoo Kim, Donghan Kim, Hanyoung Ryu, Jongkeun Jung, Wonshik Kyung, Byungmin Sohn, Suyoung Lee, Jounghoon Hyun, Yeonghoon Lee, Yeongkwan Kim, Changyoung Kim:
Deep learning-based statistical noise reduction for multidimensional spectral data. - Yan Kyaw Tun, Yu Min Park, Tra Huong Thi Le, Zhu Han, Choong Seon Hong:
A Business Model for Resource Sharing in Cell-Free UAVs-Assisted Wireless Networks. - Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin:
Exploiting Positional Information for Session-based Recommendation. - Ruihong Qiu, Zi Huang, Jingjing Li, Hongzhi Yin:
Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks. - Evgeny Bobrov, Boris Chinyaev, Viktor Kuznetsov, Hao Lu, Dmitrii Minenkov, Sergey Troshin, Daniil Yudakov, Danila Zaev:
Adaptive Regularized Zero-Forcing Beamforming in Massive MIMO with Multi-Antenna Users. - Yu Min Park, Yan Kyaw Tun, Zhu Han, Choong Seon Hong:
Trajectory Optimization and Phase-Shift Design in IRS Assisted UAV Network for High Speed Trains. - Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang:
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets. - Yuanbang Li:
User Role Discovery and Optimization Method based on K-means + Reinforcement learning in Mobile Applications. - Yunzhuang Shen, Yuan Sun, Andrew C. Eberhard, Xiaodong Li:
Learning Primal Heuristics for Mixed Integer Programs. - Yuanbang Li:
Construction and Adaptability Analysis of User's Preference Models Based on Check-in Data in LBSN. - Kazuya Takabatake, Shotaro Akaho:
Reconsidering Dependency Networks from an Information Geometry Perspective. - Malte Brockmeier, Yawen Liu, Sunita Pateer, Sven Hertling, Heiko Paulheim:
On-Demand and Lightweight Knowledge Graph Generation - a Demonstration with DBpedia. - Geet Shingi, Harsh Saglani, Preeti Jain:
Segmented Federated Learning for Adaptive Intrusion Detection System. - Shreyas Hampali, Sayan Deb Sarkar, Vincent Lepetit:
HO-3D_v3: Improving the Accuracy of Hand-Object Annotations of the HO-3D Dataset. - Marina Haikin, Ram Zamir:
Moments of Subsets of General Equiangular Tight Frames. - Michael Völske, Janek Bevendorff, Johannes Kiesel, Benno Stein, Maik Fröbe, Matthias Hagen, Martin Potthast:
Web Archive Analytics. - Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang:
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network. - Tong Mao, Zhongjie Shi, Ding-Xuan Zhou:
Theory of Deep Convolutional Neural Networks III: Approximating Radial Functions. - Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah:
Cooperative Autonomous Vehicles that Sympathize with Human Drivers. - DoHyeon Kim, Aunas Manzoor, Madyan Alsenwi, Yan Kyaw Tun, Walid Saad, Choong Seon Hong:
Ruin Theory for User Association and Energy Optimization in Multi-access Edge Computing. - Constantin Sander, Ike Kunze, Klaus Wehrle, Jan Rüth:
Video Conferencing and Flow-Rate Fairness: A First Look at Zoom and the Impact of Flow-Queuing AQM. - Afonso Fontes, Gregory Gay:
Using Machine Learning to Generate Test Oracles: A Systematic Literature Review. - Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Joseph Hassoun, Kurt Keutzer:
Learned Token Pruning for Transformers. - Katrine Tjell, Rafael Wisniewski:
Privacy in Distributed Computations based on Real Number Secret Sharing. - Edward Elson Kosasih, Alexandra Brintrup:
Reinforcement Learning Provides a Flexible Approach for Realistic Supply Chain Safety Stock Optimisation. - Francesco Giuliari, Alberto Castellini, Riccardo Berra, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti, Yiming Wang:
POMP++: Pomcp-based Active Visual Search in unknown indoor environments. - Syed Ghazi Sarwat, Timoleon Moraitis, C. David Wright, Harish Bhaskaran:
Chalcogenide optomemristors for multi-factor neuromorphic computation. - Tao Han, Hantao Huang, Ziang Yang, Wei Han:
Supervised Contrastive Learning for Accented Speech Recognition. - Mohammad Javad Shayegan, Hamid Reza Sabor:
A Collective Anomaly Detection Method Over Bitcoin Network. - Luisa März, Stefan Schweter, Nina Pörner, Benjamin Roth, Hinrich Schütze:
Data Centric Domain Adaptation for Historical Text with OCR Errors. - Shaun Azzopardi, Nir Piterman, Gerardo Schneider:
Incorporating Monitors in Reactive Synthesis without Paying the Price. - Anil Berk Altuner, Zeynep Hilal Kilimci:
A Novel Deep Reinforcement Learning Based Stock Direction Prediction using Knowledge Graph and Community Aware Sentiments. - Conghao Wong, Beihao Xia, Qinmu Peng, Xinge You:
MSN: Multi-Style Network for Trajectory Prediction. - Jiahui Li, Wen Chen, Xiaodi Huang, Zhiqiang Hu, Qi Duan, Hongsheng Li, Dimitris N. Metaxas, Shaoting Zhang:
Mixed Supervision Learning for Whole Slide Image Classification. - Mathias-Felipe de-Lima-Santos, Arwa Kooli:
Instagrammable Data: Using Visuals to Showcase More Than Numbers on AJ Labs Instagram Page. - Suryanarayana Maddu, Dominik Sturm, Christian L. Müller, Ivo F. Sbalzarini:
Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks. - Raj Jagtap, Abhinav Kumar, Rahul Goel, Shakshi Sharma, Rajesh Sharma, Clint P. George:
Misinformation Detection on YouTube Using Video Captions. - Lingbo Liu, Yuying Zhu, Guanbin Li, Ziyi Wu, Lei Bai, Liang Lin:
Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation. - Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Laura E. Barnes, Daqing Zhang:
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. - Christian Guckelsberger, Anna Kantosalo, Santiago Negrete-Yankelevich, Tapio Takala:
Embodiment and Computational Creativity. - Anastasia Zhukova, Felix Hamborg, Karsten Donnay, Bela Gipp:
Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons. - Grgur Kovac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer:
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents. - Tareq Si Salem, Giovanni Neglia, Damiano Carra:
AÇAI: Ascent Similarity Caching with Approximate Indexes. - Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis:
ResIST: Layer-Wise Decomposition of ResNets for Distributed Training. - Antonella Barisic, Frano Petric, Stjepan Bogdan:
Brain over Brawn - Using a Stereo Camera to Detect, Track and Intercept a Faster UAV by Reconstructing Its Trajectory. - Charalampos Zafeiropoulos, Ioannis N. Tzortzis, Ioannis Rallis, Eftychios Protopapadakis, Nikolaos D. Doulamis, Anastasios D. Doulamis:
Evaluating the Usefulness of Unsupervised monitoring in Cultural Heritage Monuments. - Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Data-driven model predictive control: closed-loop guarantees and experimental results. - Xiang Hu, Haitao Mi, Zujie Wen, Yafang Wang, Yi Su, Jing Zheng, Gerard de Melo:
R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling. - Thanaphon Suwannaphong, Sawaphob Chavana, Sahapol Tongsom, Duangdao Palasuwan, Thanarat H. Chalidabhongse, Nantheera Anantrasirichai:
Parasitic Egg Detection and Classification in Low-cost Microscopic Images using Transfer Learning. - Konstantinos Gounis, Nick Bassiliades:
Intelligent Momentary Assisted Control for Autonomous Emergency Braking. - Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz:
Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. - Zongsheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, Deyu Meng:
Unsupervised Single Image Super-resolution Under Complex Noise. - Azat Akhmetyanov, Anastasiia Kornilova, Marsel Faizullin, David Pozo, Gonzalo Ferrer:
Sub-millisecond Video Synchronization of Multiple Android Smartphones. - Jian Gu, Zimin Chen, Martin Monperrus:
Multimodal Representation for Neural Code Search. - Zeba Khanam, Atiya Usmani:
Optical Braille Recognition using Circular Hough Transform. - Nathan Noiry, Flore Sentenac, Vianney Perchet:
Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm. - Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem:
DeformRS: Certifying Input Deformations with Randomized Smoothing. - Ginno Millán:
An Algorithm for Flow Control in Computer Networks Based in Discrete Control Theory. - Albert Wong, Chun Yin Chiu, Gaétan Hains, Jack Humphrey, Hans Fuhrmann, Youry Khmelevsky, Chris Mazur:
Gamers Private Network Performance Forecasting. From Raw Data to the Data Warehouse with Machine Learning and Neural Nets. - Dominic Schulz, Julian Hohmann, Peter Hellwig, Christoph Kottke, Ronald Freund, Volker Jungnickel, Ralf-Peter Braun, Frank Geilhardt:
All-Indoor Optical Customer Premises Equipment for Fixed Wireless Access. - Vidyottama Jain, Raina Raj, Selvamuthu Dharmaraja:
Cost analysis of a MAP/PH/S performability model with PH retrial times using simulated annealing method. - Peng Yang, Tony Q. S. Quek, Jingxuan Chen, Chaoqun You, Xianbin Cao:
Feeling of Presence Maximization: mmWave-Enabled Virtual Reality Meets Deep Reinforcement Learning. - Ilia Karmanov, Farhad G. Zanjani, Simone Merlin, Ishaque Kadampot, Daniel Dijkman:
WiCluster: Passive Indoor 2D/3D Positioning using WiFi without Precise Labels. - Bob Briscoe:
PI2 Parameters. - Ahmed Benfaid, Nadia Adem, Bassem Khalfi:
AdaptSky: A DRL Based Resource Allocation Framework in NOMA-UAV Networks. - Matthew K. Luka, Okpo U. Okereke, Elijah E. Omizegba, Ejike C. Anene:
Blockchains for Spectrum Management in Wireless Networks: A Survey. - Carlos Bendicho:
Cyber Security in Cloud: Risk Assessment Models. - Nguyen Truong Son, Quach Cong Hoang, Dang Thi Huong Giang, Vu Minh Trung, Vuong Quang Huy, Mai Anh Tuan:
Developing system of wireless sensor network and unmaned aerial vehicle for agriculture inspection. - Mirgita Frasheri, Henrik Ejersbo, Casper Thule, Lukas Esterle:
RMQFMU: Bridging the Real World with Co-simulation Technical Report. - Hao Zhou, Medhat H. M. Elsayed, Melike Erol-Kantarci:
RAN Resource Slicing in 5G Using Multi-Agent Correlated Q-Learning. - Emilio Calvanese Strinati, Didier Belot, Alexis Falempin, Jean-Baptiste Doré:
Toward 6G: From New Hardware Design to Wireless Semantic and Goal-Oriented Communication Paradigms. - Anirudha Jitani, Aditya Mahajan, Zhongwen Zhu, Hatem Abou-zeid, Emmanuel Thepie Fapi, Hakimeh Purmehdi:
Structure-aware reinforcement learning for node-overload protection in mobile edge computing. - Meltem Civas, Oktay Cetinkaya, Murat Kuscu, Özgür B. Akan:
Universal Transceivers: Opportunities and Future Directions for the Internet of Everything (IoE). - Sk. A. Shezan, S. Rawdah, Shafin Ali, Ziaur Rahman:
Design and implementation of an islanded hybrid microgrid system for a large resort center for Penang Island with the proper application of excess energy. - Jonathan Dumas:
Weather-based forecasting of energy generation, consumption and price for electrical microgrids management. - Xiangyu Chen, Jun Chen Ke, Wankai Tang, Ming Zheng Chen, Jun Yan Dai, Ertugrul Basar, Shi Jin, Qiang Cheng, Tie Jun Cui:
Design and Implementation of MIMO Transmission Based on Dual-Polarized Reconfigurable Intelligent Surface. - Manon Revel, Tao Lin, Daniel Halpern:
The Optimal Size of an Epistemic Congress. - Vitor Bosshard, Sven Seuken:
Shapley-Based Core-Selecting Payment Rules. - Frederik Träuble, Julius von Kügelgen, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Peter V. Gehler:
Backward-Compatible Prediction Updates: A Probabilistic Approach. - Antoine Armandine Les Landes, Daniel Castanon Quiroz, Laurent Jeannin, Simon Lopez, Roland Masson:
Two-phase geothermal model with fracture network and multi-branch wells. - (Withdrawn) Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings.
- Shahab Jalalvand, Srinivas Bangalore:
Unsupervised Spoken Utterance Classification. - Michael Konopik, Till Korten, Heiner Linke, Eric Lutz:
Solving the subset sum problem with a nonideal biological computer. - Adam Tsakalidis, Pierpaolo Basile, Marya Bazzi, Mihai Cucuringu, Barbara McGillivray:
DUKweb: Diachronic word representations from the UK Web Archive corpus. - Mathias Anselmann, Markus Bause:
Numerical convergence of discrete extensions in a space-time finite element, fictitious domain method for the Navier-Stokes equations. - Éric Piette, Matthew Stephenson, Dennis J. N. J. Soemers, Cameron Browne:
General Board Game Concepts. - Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert:
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. - Alberto Badías, Ashis Banerjee:
Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning. - Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen:
Comparison of end-to-end neural network architectures and data augmentation methods for automatic infant motility assessment using wearable sensors. - Nikita Pavlichenko, Ivan Stelmakh, Dmitry Ustalov:
Vox Populi, Vox DIY: Benchmark Dataset for Crowdsourced Audio Transcription. - Felipe R. Monteiro, Mikhail R. Gadelha, Lucas C. Cordeiro:
Model Checking C++ Programs. - Qi Liu, Xueyuan Li, Shihua Yuan, Zirui Li:
Decision-Making Technology for Autonomous Vehicles Learning-Based Methods, Applications and Future Outlook. - Ni Ding, Farhad Farokhi:
Measuring Information Leakage in Non-stochastic Brute-Force Guessing. - Zsófia Zádor, Zhen Zhu, Matthew Smith, Sara Gorgoni:
A Weighted and Normalized Gould-Fernandez Brokerage Measure. - Yuhao Lu, Zhenqing Liu, Dejun Jiang, Liuying Ma, Jin Xiong:
A Micro-Service based Approach for Constructing Distributed Storage System. - Tong Zhou, Kailin Yin:
Global Structure Identifiability and Reconstructibility of an NDS with Descriptor Subsystems. - Jingrun Chen, Shi Jin, Liyao Lyu:
A Deep Learning Based Discontinuous Galerkin Method for Hyperbolic Equations with Discontinuous Solutions and Random Uncertainties. - Davood Zabihzadeh:
Ensemble of Loss Functions to Improve Generalizability of Deep Metric Learning methods. - Faisal N. Abu-Khzam, Norma Makarem, Maryam Shehab:
An Improved Fixed-Parameter Algorithm for 2-Club Cluster Edge Deletion. - Bernd Finkbeiner, Felix Klein, Niklas Metzger:
Live Synthesis. - Liangkai Liu, Shaoshan Liu, Weisong Shi:
4C: A Computation, Communication, and Control Co-Design Framework for CAVs. - Dominik Ernst, Georg Hager, Markus Holzer, Matthias Knorr, Gerhard Wellein:
Opening the Black Box: Performance Estimation during Code Generation for GPUs. - Haiyang Wang, Wenguan Wang, Xizhou Zhu, Jifeng Dai, Liwei Wang:
Collaborative Visual Navigation. - Wenguan Wang, Tianfei Zhou, Fatih Porikli, David Crandall, Luc Van Gool:
A Survey on Deep Learning Technique for Video Segmentation. - Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar:
Gradient-Leakage Resilient Federated Learning. - Alejandro Aguirre, Gilles Barthe, Marco Gaboardi, Deepak Garg, Shin-ya Katsumata, Tetsuya Sato:
Higher-order probabilistic adversarial computations: Categorical semantics and program logics. - Paul Karaenke, Maximilian Schiffer, Stefan Waldherr:
The Customer is Always Right: Customer-Centered Pooling for Ride-Hailing Systems. - Massimo Giulietti, Arianna Sabatini, Marco Timpanella:
PIR codes from combinatorial structures. - Nidhika Yadav:
Computing Fuzzy Rough Set based Similarities with Fuzzy Inference and Its Application to Sentence Similarity Computations. - Guanghui Wang, Ming Yang, Lijun Zhang, Tianbao Yang:
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization. - Su Zhang, Yi Ding, Ziquan Wei, Cuntai Guan:
Audio-visual Attentive Fusion for Continuous Emotion Recognition. - Shailesh Bavadekar, Adam Boulanger, John Davis, Damien Desfontaines, Evgeniy Gabrilovich, Krishna Gadepalli, Badih Ghazi, Tague Griffith, Jai Prakash Gupta, Chaitanya Kamath, Dennis Kraft, Ravi Kumar, Akim Kumok, Yael Mayer, Pasin Manurangsi, Arti Patankar, Irippuge Milinda Perera, Chris Scott, Tomer Shekel, Benjamin Miller, Karen Smith, Charlotte Stanton, Mimi Sun, Mark Young, Gregory Wellenius:
Google COVID-19 Vaccination Search Insights: Anonymization Process Description. - Li Mi, Yangjun Ou, Zhenzhong Chen:
Visual Relationship Forecasting in Videos. - Sven Gross, Arnold Reusken:
Optimal preconditioners for a Nitsche stabilized fictitious domain finite element method. - Saif M. Mohammad:
Ethics Sheets for AI Tasks. - Tyler Cody, Stephen C. Adams, Peter A. Beling:
Empirically Measuring Transfer Distance for System Design and Operation. - Prajoy Podder, Subrato Bharati, M. Rubaiyat Hossain Mondal, Pinto Kumar Paul, Utku Kose:
Artificial Neural Network for Cybersecurity: A Comprehensive Review. - Martin J. A. Schuetz, John Kyle Brubaker, Helmut G. Katzgraber:
Combinatorial Optimization with Physics-Inspired Graph Neural Networks. - (Withdrawn) NTIRE 2021 Multi-modal Aerial View Object Classification Challenge.
- Liping Wang, Saideep Tiku, Sudeep Pasricha:
CHISEL: Compression-Aware High-Accuracy Embedded Indoor Localization with Deep Learning. - Lin Zhang, Qi She, Zhengyang Shen, Changhu Wang:
How Incomplete is Contrastive Learning? An Inter-intra Variant Dual Representation Method for Self-supervised Video Recognition. - Tyler Cody, Peter A. Beling:
A Systems Theory of Transfer Learning. - Harshad Zade, Aadesh Varude, Karan Pandya, Ajinkya Kamat, Shital S. Chiddarwar, Rohan Thakker:
ReQuBiS - Reconfigurable Quadrupedal-Bipedal Snake Robots. - Abheesht Sharma, Gunjan Chhablani, Harshit Pandey, Rajaswa Patil:
DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature. - Milena Bajic, Shahrzad M. Pour, Asmus Skar, Matteo Pettinari, Eyal Levenberg, Tommy Sonne Alstrøm:
Road Roughness Estimation Using Machine Learning. - Mohd Zeeshan Ansari, M. M. Sufyan Beg, Tanvir Ahmad, Mohd Jazib Khan, Ghazali Wasim:
Language Identification of Hindi-English tweets using code-mixed BERT. - Jameel Malik, Soshi Shimada, Ahmed Elhayek, Sk Aziz Ali, Christian Theobalt, Vladislav Golyanik, Didier Stricker:
HandVoxNet++: 3D Hand Shape and Pose Estimation using Voxel-Based Neural Networks. - Pasin Manurangsi:
Linear Discrepancy is Π2-Hard to Approximate. - Sunny Tran, Pranav Krishna, Ishan Pakuwal, Prabhakar Kafle, Nikhil Singh, Jayson Lynch, Iddo Drori:
Solving Machine Learning Problems. - Marcelo Arenas, Pedro Bahamondes, Julia Stoyanovich:
Temporal Regular Path Queries: Syntax, Semantics, and Complexity. - Niclas Jansson, Martin Karp, Artur Podobas, Stefano Markidis, Philipp Schlatter:
Neko: A Modern, Portable, and Scalable Framework for High-Fidelity Computational Fluid Dynamics. - Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta:
Ensemble Kalman Filter (EnKF) for Reinforcement Learning (RL). - Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra:
Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints. - Michael A. Bender, Bradley C. Kuszmaul, William Kuszmaul:
Linear Probing Revisited: Tombstones Mark the Death of Primary Clustering. - Paulito P. Palmes, Akihiro Kishimoto, Radu Marinescu, Parikshit Ram, Elizabeth Daly:
Designing Machine Learning Pipeline Toolkit for AutoML Surrogate Modeling Optimization. - Dongliang Zheng, Panagiotis Tsiotras:
Accelerating Kinodynamic RRT* Through Dimensionality Reduction. - Christoph Dann, Teodor V. Marinov, Mehryar Mohri, Julian Zimmert:
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning. - Rui Wang:
Physics-Guided Deep Learning for Dynamical Systems: A survey. - (Withdrawn) Visual Time Series Forecasting: An Image-driven Approach.
- Mukund Telukunta, Venkata Sriram Siddhardh Nadendla:
Non-Comparative Fairness for Human-Auditing and Its Relation to Traditional Fairness Notions. - Humberto De las Casas, Santino Bianco, Hanz Richter:
Targeted Muscle Effort Distribution with Exercise Robots: Trajectory and Resistance Effects. - Luigi Penco, Jean-Baptiste Mouret, Serena Ivaldi:
Prescient teleoperation of humanoid robots. - Fahim Faisal Niloy, Arif, Abu Bakar Siddik Nayem, Anis Sarker, Ovi Paul, M. Ashraful Amin, Amin Ahsan Ali, Moinul Islam Zaber, A. K. M. Mahbubur Rahman:
A Novel Disaster Image Dataset and Characteristics Analysis using Attention Model. - Hamed Saeidi, Justin D. Opfermann, Michael Kam, Shuwen Wei, Simon Léonard, Michael H. Hsieh, Jin U. Kang, Axel Krieger:
Breaking Barriers in Robotic Soft Tissue Surgery: Conditional Autonomous Intestinal Anastomosis. - Surendra Nepal, Yosief Wondmagegne, Adrian Muntean:
Error estimates for semi-discrete finite element approximations for a moving boundary problem capturing the penetration of diffusants into rubber. - Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Abhishek Dubey:
Hierarchical Planning for Dynamic Resource Allocation in Smart and Connected Communities. - Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, Noah A. Smith, Yejin Choi:
Scarecrow: A Framework for Scrutinizing Machine Text. - Stephen Chang, Michael Ballantyne, Milo Turner, William J. Bowman:
Dependent Type Systems as Macros. - Uday Singh Saini, Pravallika Devineni, Evangelos E. Papalexakis:
Subspace Clustering Based Analysis of Neural Networks. - Shih-Yu Sun, Vimal Thilak, Etai Littwin, Omid Saremi, Joshua M. Susskind:
Implicit Greedy Rank Learning in Autoencoders via Overparameterized Linear Networks. - Stefan Andjelkovic, Natasa Miskov-Zivanov:
DiSH-trend: Intervention Modeling Simulator That Accounts for Trend Influences. - Yik Lung Pang, Alessio Xompero, Changjae Oh, Andrea Cavallaro:
Towards safe human-to-robot handovers of unknown containers. - Reza Asadi, Amelia Regan:
Clustering of Time Series Data with Prior Geographical Information. - Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto:
Learning Hierarchical Graph Neural Networks for Image Clustering. - Zhenghao Fei, Stavros Vougioukas:
Row-sensing Templates: A Generic 3D Sensor-based Approach to Robot Localization with Respect to Orchard Row Centerlines. - Yating Wen, Tong-Xing Zheng, Yongxia Tong, Hao-Wen Liu, Xin Chen, Pengcheng Mu, Hui-Ming Wang:
Physical Layer Security for NOMA-Enabled Multi-Access Edge Computing Wireless Networks. - Connor Lawless, Oktay Günlük:
Fair Decision Rules for Binary Classification. - Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi:
SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing. - Zhuo Li, Ce Fang, Runqiu Xiao, Zhigao Chen, Wenchao Wang, Yonghong Yan:
The HCCL Speaker Verification System for Far-Field Speaker Verification Challenge. - Nazmul Karim, Nazanin Rahnavard:
SPI-GAN: Towards Single-Pixel Imaging through Generative Adversarial Network. - Cyrus Rashtchian, David P. Woodruff, Peng Ye, Hanlin Zhu:
Average-Case Communication Complexity of Statistical Problems. - Mingliang Bai, Xinyu Zhao, Zhenhua Long, Jinfu Liu, Daren Yu:
Short-term probabilistic photovoltaic power forecast based on deep convolutional long short-term memory network and kernel density estimation. - Jaroslav Hlavác, Martin Kopp, Jan Kohout:
Cluster Representatives Selection in Non-Metric Spaces for Nearest Prototype Classification. - (Withdrawn) Traffic Signal Control with Communicative Deep Reinforcement Learning Agents: a Case Study.
- Vektor Dewanto, Marcus Gallagher:
Examining average and discounted reward optimality criteria in reinforcement learning. - Jong-Yeong Kim, Dong-Wan Choi:
Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network. - Marvin Williams, Peter Sanders, Roman Dementiev:
Engineering MultiQueues: Fast Relaxed Concurrent Priority Queues. - Hao Peng, Pei Chen, Rui Liu, Luonan Chen:
Spatiotemporal convolutional network for time-series prediction and causal inference. - Hakbin Kim, Dong-Wan Choi:
Pool of Experts: Realtime Querying Specialized Knowledge in Massive Neural Networks. - Per Pettersson, Sebastian Krumscheid:
Adaptive stratified sampling for non-smooth problems. - Sandeep Nagar, Marius Dufraisse, Girish Varma:
CInC Flow: Characterizable Invertible 3x3 Convolution. - Yue Jin, Yue Zhang, Tao Qin, Xudong Zhang, Jian Yuan, Houqiang Li, Tie-Yan Liu:
Supervised Off-Policy Ranking. - Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra:
Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning. - Rahma Chaabouni, Roberto Dessì, Eugene Kharitonov:
Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN. - Yang Li, Bangwei She:
On convergence of numerical solutions for the compressible MHD system with exactly divergence-free magnetic field. - Eungyeup Kim, Jungsoo Lee, Juyoung Lee, Jihyeon Lee, Jaegul Choo:
Learning Debiased Representation via Disentangled Feature Augmentation. - Ding Jia, Kai Han, Yunhe Wang, Yehui Tang, Jianyuan Guo, Chao Zhang, Dacheng Tao:
Efficient Vision Transformers via Fine-Grained Manifold Distillation. - Ioannis Argyroulis:
Recent Advancements In Distributed System Communications. - Jianhua Li, Ximeng Liu, Jiong Jin, Shui Yu:
Too Expensive to Attack: Enlarge the Attack Expense through Joint Defense at the Edge. - Wouter Baert, Nick Vannieuwenhoven:
ATC: an Advanced Tucker Compression library for multidimensional data. - Feng Li, Jichao Zhao, Dongxiao Yu, Xiuzhen Cheng, Weifeng Lv:
Harnessing Context for Budget-Limited Crowdsensing with Massive Uncertain Workers. - Yiming Fan, Xiaochuan Tian, Xiu Yang, Xingjie Helen Li, Clayton Webster, Yue Yu:
An asymptotically compatible probabilistic collocation method for randomly heterogeneous nonlocal problems. - Hung Le:
Memory and attention in deep learning. - Peeyush Kumar, Ayushe Gangal, Sunita Kumari, Sunita Tiwari:
Recombinant Sort: N-Dimensional Cartesian Spaced Algorithm Designed from Synergetic Combination of Hashing, Bucket, Counting and Radix Sort. - Yajie Wang, Shangbo Wu, Wenyi Jiang, Shengang Hao, Yu-an Tan, Quanxin Zhang:
Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity. - Christopher W. F. Parsonson, Georgios Zervas:
TrafPy: Benchmarking Data Centre Network Systems. - Yaniv Shulman:
Exact Backpropagation in Binary Weighted Networks with Group Weight Transformations. - Santos J. Núñez Jareño, Daniël P. van Helden, Evgeny M. Mirkes, Ivan Yu. Tyukin, Penelope M. Allison:
Learning from scarce information: using synthetic data to classify Roman fine ware pottery. - Wei Jiang, Hans Dieter Schotten:
Cell-Free Massive MIMO-OFDM Transmission over Frequency-Selective Fading Channels. - Wei Jiang, Hans Dieter Schotten:
Impact of Channel Aging on Zero-Forcing Precoding in Cell-Free Massive MIMO Systems. - Bing Lin, Chaowei Lin, Xing Chen, Neal N. Xiong, Qiang Shen:
A Fuzzy Scheduling Strategy for Workflow Decision Making in Uncertain Edge-Cloud Environments. - Lionel Blondé, Alexandros Kalousis:
Where is the Grass Greener? Revisiting Generalized Policy Iteration for Offline Reinforcement Learning. - Amirhossein Nouranizadeh, Mohammadjavad Matinkia, Mohammad Rahmati, Reza Safabakhsh:
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks. - Wanyun Cui, Sen Yan:
Isotonic Data Augmentation for Knowledge Distillation. - Dong Li, Chaoyu Quan:
The operator-splitting method for Cahn-Hilliard is stable. - Yiqing Ma, Han Tian, Xudong Liao, Junxue Zhang, Weiyan Wang, Kai Chen, Xin Jin:
Multi-Objective Congestion Control. - Konrad K. Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov:
Solving Infinite-Domain CSPs Using the Patchwork Property. - Jinghui Qin, Xiaodan Liang, Yining Hong, Jianheng Tang, Liang Lin:
Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks. - Fatemeh Mahdavi, Roozbeh Rajabi:
Drone Detection Using Convolutional Neural Networks. - Federico Izzo, Olof Runborg, Richard Tsai:
Corrected trapezoidal rules for singular implicit boundary integrals. - Han Xiao, Tianhang Lu, Qizhi Fang:
Approximate Core Allocations for Multiple Partners Matching Games. - Tingting Bi, Wei Ding, Peng Liang, Antony Tang:
Architecture Information Communication in Two OSS Projects: the Why, Who, When, and What. - Taehee Ko, Xiantao Li:
Stochastic Algorithms for Self-consistent Calculations of Electronic Structures. - Arnu Pretorius, Kale-ab Abebe Tessera, Andries P. Smit, Claude Formanek, St John Grimbly, Kevin Eloff, Siphelele Danisa, Lawrence Francis, Jonathan P. Shock, Herman Kamper, Willie Brink, Herman A. Engelbrecht, Alexandre Laterre, Karim Beguir:
Mava: a research framework for distributed multi-agent reinforcement learning. - Chao-Han Huck Yang, Hu Hu, Sabato Marco Siniscalchi, Qing Wang, Yuyang Wang, Xianjun Xia, Yuanjun Zhao, Yuzhong Wu, Yannan Wang, Jun Du, Chin-Hui Lee:
A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification. - Sujay Uday Rittikar:
Development of a Conversation State Recognition System. - Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Tim Kraska:
When Are Learned Models Better Than Hash Functions? - Bharat Adsul, Saptarshi Sarkar, A. V. Sreejith:
First-Order logic and its Infinitary Quantifier Extensions over Countable Words. - Zangwei Zheng, Xiangyu Yue, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Scene-aware Learning Network for Radar Object Detection. - Zhaohua Chen, Xiaotie Deng, Wenhan Huang, Hanyu Li, Yuhao Li:
On Tightness of the Tsaknakis-Spirakis Algorithm for Approximate Nash Equilibrium. - Binghui Wang, Jiayi Guo, Ang Li, Yiran Chen, Hai Li:
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective. - Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu:
Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates. - Gregory Beylkin, Sandeep Sharma:
A fast algorithm for computing the Boys function. - Hejie Cui, Zijie Lu, Pan Li, Carl Yang:
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. - Ming Li, Pradeep K. Murukannaiah, Catholijn M. Jonker:
A Data-Driven Method for Recognizing Automated Negotiation Strategies. - Shaoduo Gan, Xiangru Lian, Rui Wang, Jianbin Chang, Chengjun Liu, Hongmei Shi, Shengzhuo Zhang, Xianghong Li, Tengxu Sun, Jiawei Jiang, Binhang Yuan, Sen Yang, Ji Liu, Ce Zhang:
BAGUA: Scaling up Distributed Learning with System Relaxations. - Onder Erin, Xiaolong Liu, Jiawei Ge, Lamar O. Mair, Yotam Barnoy, Yancy Diaz-Mercado, Axel Krieger:
Overcoming the Force Limitations of Magnetic Robotic Surgery: Impact-based Tetherless Suturing. - Anish Bhattacharya, Akshit Gandhi, Lukas Merkle, Rohan Tiwari, Karun Warrior, Stanley Winata, Andrew Saba, Kevin Zhang, Oliver Kroemer, Sebastian A. Scherer:
Carnegie Mellon Team Tartan: Mission-level Robustness with Rapidly Deployed Autonomous Aerial Vehicles in the MBZIRC 2020. - Max Simchowitz, Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu, Thodoris Lykouris, Miroslav Dudík, Robert E. Schapire:
Bayesian decision-making under misspecified priors with applications to meta-learning. - Sai Mitheran, Abhinav Java, Surya Kant Sahu, Arshad Shaikh:
Improved Representation Learning for Session-based Recommendation. - Lirui Wang, Yu Xiang, Dieter Fox:
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans. - Hengzhao Ma, Jianzhong Li:
The PCP-like Theorem for Sub-linear Time Inapproximability. - Hongwei Zhang, Weidong Zou, Hongbo Zhao, Qi Ming, Tijin Yan, Yuanqing Xia, Weipeng Cao:
AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations. - Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting. - Shahpar Yakhchi:
Learning Complex Users' Preferences for Recommender Systems. - Hiram H. López, Gretchen L. Matthews, Daniel Valvo:
Erasures repair for decreasing monomial-Cartesian and augmented Reed-Muller codes of high rate. - Hossein Rouhizadeh, Mehrnoush Shamsfard, Vahideh Tajalli, Masoud Rouhizadeh:
Persian-WSD-Corpus: A Sense Annotated Corpus for Persian All-words Word Sense Disambiguation. - Gershom Bazerman:
The Semantics of Package Management via Event Structures. - Chao Zhang, Wenqiang Yi, Yuanwei Liu, Zhiguo Ding, Lingyang Song:
STAR-IOS Aided NOMA Networks: Channel Model Approximation and Performance Analysis. - Chantal Keller, Mathias Fleury:
Proceedings Seventh Workshop on Proof eXchange for Theorem Proving, PxTP 2021, Pittsburg, PA, USA, July 11, 2021. - Zhihao Wang, Yanwei Yu, Yibo Wang, Haixu Long, Fazheng Wang:
Robust End-to-End Offline Chinese Handwriting Text Page Spotter with Text Kernel. - Mingbo Hong, Shuiwang Li, Yuchao Yang, Feiyu Zhu, Qijun Zhao, Li Lu:
SSPNet: Scale Selection Pyramid Network for Tiny Person Detection from UAV Images. - Ryo Masumura, Daiki Okamura, Naoki Makishima, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Shota Orihashi:
Unified Autoregressive Modeling for Joint End-to-End Multi-Talker Overlapped Speech Recognition and Speaker Attribute Estimation. - Sandeep Kumar Singh, Jaya Shradha Fowdur, Jakob Gawlikowski, Daniel Medina:
Leveraging Evidential Deep Learning Uncertainties with Graph-based Clustering to Detect Anomalies. - Hui Lin, Xiaopeng Hong, Zhiheng Ma, Xing Wei, Yunfeng Qiu, Yaowei Wang, Yihong Gong:
Direct Measure Matching for Crowd Counting. - Ao Liu, Lirong Xia:
Smoothed Differential Privacy. - Cheng Zhong, Huayi Li, Yang Zhou, Yueming Lv, Jikai Chen, Yang Li:
Virtual synchronous generator of PV generation without energy storage for frequency support in autonomous microgrid. - Ao Liu, Xiaoyu Chen, Sijia Liu, Lirong Xia, Chuang Gan:
Certifiably Robust Interpretation via Renyi Differential Privacy. - Orna Kupferman, Nir Lavee, Salomon Sickert:
Certifying DFA Bounds for Recognition and Separation. - Tomohiro Tanaka, Ryo Masumura, Mana Ihori, Akihiko Takashima, Takafumi Moriya, Takanori Ashihara, Shota Orihashi, Naoki Makishima:
Cross-Modal Transformer-Based Neural Correction Models for Automatic Speech Recognition. - Reuben Kirkham, Benjamin Tannert:
Using Computer Simulations to Investigate the Potential Performance of 'A to B' Routing Systems for People with Mobility Impairments. - Zhiqi Huang, Fenglin Liu, Xian Wu, Shen Ge, Helin Wang, Wei Fan, Yuexian Zou:
Audio-Oriented Multimodal Machine Comprehension: Task, Dataset and Model. - Pablo D. Brubeck, Lloyd N. Trefethen:
Lightning Stokes solver. - Ahmed Ali, Shammur Absar Chowdhury, Amir Hussein, Yasser Hifny:
Arabic Code-Switching Speech Recognition using Monolingual Data. - Stefano Costa, Lloyd N. Trefethen:
AAA-least squares rational approximation and solution of Laplace problems. - Linqing Zhao, Jiwen Lu, Jie Zhou:
Similarity-Aware Fusion Network for 3D Semantic Segmentation. - Oussama Abdul Hay, Mohamad Chehadeh, Abdulla Ayyad, Mohamad Wahbah, Muhammad Humais, Yahya H. Zweiri:
Unified Identification and Tuning Approach Using Deep Neural Networks For Visual Servoing Applications. - Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu, Hongbo Xu:
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction. - Luxi Xing, Yue Hu, Jing Yu, Yuqiang Xie, Wei Peng:
Coarse-to-Careful: Seeking Semantic-related Knowledge for Open-domain Commonsense Question Answering. - Nicolai Kraus, Jakob von Raumer:
A Rewriting Coherence Theorem with Applications in Homotopy Type Theory. - Saeed Hadikhanloo, Rida Laraki, Panayotis Mertikopoulos, Sylvain Sorin:
Learning in nonatomic games, Part I: Finite action spaces and population games. - Sadia Tasnuva Pritha, Rahnuma Tasnim, Muhammad Ashad Kabir, Sumaiya Amin, Anik Das:
A Systematic Review of Mobile Apps for Child Sexual Abuse Education: Limitations and Design Guidelines. - Mohammad Rostami, Aram Galstyan:
Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation. - Oliver Stengele, Markus Raiber, Jörn Müller-Quade, Hannes Hartenstein:
ETHTID: Deployable Threshold Information Disclosure on Ethereum. - Shaolin Lü:
Graphical State Space Model. - Eric Hallman, Ilse C. F. Ipsen:
Deterministic and Probabilistic Error Bounds for Floating Point Summation Algorithms. - Pratik K. Bajaria:
Synchronization Strategies for Multi-agent Networked Control Systems. - Geir Kjetil Nilsen, Antonella Zanna Munthe-Kaas, Hans J. Skaug, Morten Brun:
A Comparison of the Delta Method and the Bootstrap in Deep Learning Classification. - Eloi Araujo, Luiz C. S. Rozante, Diego P. Rubert, Fábio Viduani Martinez:
Algorithms for normalized multiple sequence alignments. - Hendrik Molter:
The Complexity of Finding Temporal Separators under Waiting Time Constraints. - Wenshuo Guo, Fangwei Fu:
Expanded Gabidulin Codes and Their Application to Cryptography. - Klaus Jansen, Malin Rau:
Closing the gap for single resource constraint scheduling. - Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris:
Survey: Leakage and Privacy at Inference Time. - Ralph Foorthuis:
A Typology of Data Anomalies. - Michael Franklin Bosu, Stephen G. MacDonell, Peter A. Whigham:
Analyzing the Stationarity Process in Software Effort Estimation Datasets. - Eungyeup Kim, Sanghyeon Lee, Jeonghoon Park, Somi Choi, Choonghyun Seo, Jaegul Choo:
Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects. - Rakesh Nagaraju, Mark Stamp:
Auxiliary-Classifier GAN for Malware Analysis. - Edward McDaid, Sarah McDaid:
The Composability of Intermediate Values in Composable Inductive Programming. - Xueying Zhan, Qing Li, Antoni B. Chan:
Multiple-criteria Based Active Learning with Fixed-size Determinantal Point Processes. - Aurélie Breidenbach, Caroline Mahlow, Andreas Schreiber:
Implicit Gender Bias in Computer Science - A Qualitative Study. - Lolitha Sresta Tupadha, Mark Stamp:
Machine Learning for Malware Evolution Detection. - G. Dumindu Samaraweera, J. Morris Chang:
SEC-NoSQL: Towards Implementing High Performance Security-as-a-Service for NoSQL Databases. - Gal Shachaf, Alon Brutzkus, Amir Globerson:
A Theoretical Analysis of Fine-tuning with Linear Teachers. - Xin Wang, Xin Peng, Jun Sun, Yifan Zhao, Chi Chen, Jinkai Fan:
A Topic Guided Pointer-Generator Model for Generating Natural Language Code Summaries. - Hau Chan, Minming Li, Chenhao Wang:
Facility Location Games with Ordinal Preferences. - Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos:
Learning ODEs via Diffeomorphisms for Fast and Robust Integration. - Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C. Cooper, Nicholas Asher, João Marques-Silva:
Efficient Explanations for Knowledge Compilation Languages. - Yang Li, Tong Chen, Zi Huang:
Attribute-aware Explainable Complementary Clothing Recommendation. - Baban Gain, Dibyanayan Bandyopadhyay, Asif Ekbal:
IITP at WAT 2021: System description for English-Hindi Multimodal Translation Task. - Patrick Kage, Pavlos Andreadis:
Class Introspection: A Novel Technique for Detecting Unlabeled Subclasses by Leveraging Classifier Explainability Methods. - Matthias Stürmer, Jasmin Nussbaumer, Pascal Stöckli:
Security implications of digitalization: The dangers of data colonialism and the way towards sustainable and sovereign management of environmental data. - Christopher Yu, Caleb Brakensiek, Henrik Schumacher, Keenan Crane:
Repulsive Surfaces. - Nicolò Botteghi, Khaled Alaa, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli:
Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces. - Ariel Caputo, Andrea Giachetti, Salwa Abkal, Chiara Marchesini, Massimo Zancanaro:
Real vs Simulated Foveated Rendering to Reduce Visual Discomfort in Virtual Reality. - Xuejiao Tang, Xin Huang, Wenbin Zhang, Travers B. Child, Qiong Hu, Zhen Liu, Ji Zhang:
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory. - Arindam Biswas, Venkatesh Raman:
Sublinear-Space Approximation Algorithms for Max r-SAT. - Changjie Chen, Jasmeet Judge, David W. Hulse:
PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis. - Nicolò Botteghi, Mannes Poel, Beril Sirmaçek, Christoph Brune:
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics. - Md. Morshed Alam, Weichao Wang:
A Comprehensive Survey on the State-of-the-art Data Provenance Approaches for Security Enforcement. - Stefan Kiefer, Pavel Semukhin, Cas Widdershoven:
Linear-Time Model Checking Branching Processes. - Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe:
Robust Restless Bandits: Tackling Interval Uncertainty with Deep Reinforcement Learning. - Haohang Xu, Jiemin Fang, Xiaopeng Zhang, Lingxi Xie, Xinggang Wang, Wenrui Dai, Hongkai Xiong, Qi Tian:
Bag of Instances Aggregation Boosts Self-supervised Learning. - Michel Broniatowski, Wolfgang Stummer:
A precise bare simulation approach to the minimization of some distances. Foundations. - Idris Kempf, Paul J. Goulart, Stephen R. Duncan:
Model Predictive Control for Electron Beam Stabilization in a Synchrotron. - Tuan Manh Lai, Trung Bui, Doo Soon Kim:
End-to-end Neural Coreference Resolution Revisited: A Simple yet Effective Baseline. - Grzegorz Dudek:
Data-Driven Learning of Feedforward Neural Networks with Different Activation Functions. - Grzegorz Dudek:
Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality. - Rasheed el-Bouri, Tingting Zhu, David A. Clifton:
Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning. - Paul Staat, Harald Elders-Boll, Markus Heinrichs, Christian T. Zenger, Christof Paar:
Mirror Mirror on the Wall: Wireless Environment Reconfiguration Attacks Based on Fast Software-Controlled Surfaces. - Grzegorz Dudek:
Autoencoder based Randomized Learning of Feedforward Neural Networks for Regression. - Kaiyan Peng, Zheng Lu, Vanessa Lin, Michael R. Lindstrom, Christian Parkinson, Chuntian Wang, Andrea L. Bertozzi, Mason A. Porter:
A Multilayer Network Model of the Coevolution of the Spread of a Disease and Competing Opinions. - Assaf Hallak, Gal Dalal, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik:
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction. - Canze Zhu, Qunying Liao:
The b-weight distribution for MDS codes. - Karl Bringmann, Alejandro Cassis, Nick Fischer, Marvin Künnemann:
Fine-Grained Completeness for Optimization in P. - Liren Yang, Necmiye Ozay:
Scalable Zonotopic Under-approximation of Backward Reachable Sets for Uncertain Linear Systems. - Pantea Kiaei, Yuan Yao, Patrick Schaumont:
Real-time Detection and Adaptive Mitigation of Power-based Side-Channel Leakage in SoC. - Vladimir Vovk, Ivan Petej, Alex Gammerman:
Adaptive calibration for binary classification. - Thomas Miconi:
Multi-layer Hebbian networks with modern deep learning frameworks. - Anish Bhattacharya:
Toward Increased Airspace Safety: Quadrotor Guidance for Targeting Aerial Objects. - Abdulaziz M. Alqarni, Thomas G. Robertazzi:
Cloud Versus Local Processing in Distributed Networks. - J. Gregory Pauloski, Qi Huang, Lei Huang, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang:
KAISA: An Adaptive Second-order Optimizer Framework for Deep Neural Networks. - Max A. Little, Ugur Kayas:
Polymorphic dynamic programming by algebraic shortcut fusion. - Zizhou Su:
The Least Restriction for Offline Reinforcement Learning. - Jaeseung Lee, Woojin Choi, Jibum Kim:
Learning Delaunay Triangulation using Self-attention and Domain Knowledge. - Taichi Murayama, Shoko Wakamiya, Eiji Aramaki:
Single Model for Influenza Forecasting of Multiple Countries by Multi-task Learning. - Tianxing Sun, Shaohang Xu, Zirui Li, Yingqi Tan, Huiyan Chen:
Energy Management Strategy for Unmanned Tracked Vehicles Based on Local Speed Planning. - A. Koegel, C. Furet, T. Suzuki, Yuri Klebanov, J. Hu, Tobias Kappeler, D. Okazaki, K. Matsui, Toshihiro Hiraoka, Keisuke Shimono, K. Nakano, Kentaro Honma, Miles Pennington:
Exploration of increasing drivers trust in a semi-autonomous vehicle through real time visualizations of collaborative driving dynamic. - Alvin Jian Jia Tan, Chun Yong Chong, Aldeida Aleti:
E-SC4R: Explaining Software Clustering for Remodularisation. - Zhiwei Lin, Yongtao Wang, Hongxiang Lin:
Continual Contrastive Self-supervised Learning for Image Classification. - Wenbo Zhang, Ge-Peng Ji, Zhuo Wang, Keren Fu, Qijun Zhao:
Depth Quality-Inspired Feature Manipulation for Efficient RGB-D Salient Object Detection. - Tidor-Vlad Pricope:
A contextual analysis of multi-layer perceptron models in classifying hand-written digits and letters: limited resources. - Robin Karlsson, David Robert Wong, Simon Thompson, Kazuya Takeda:
Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-Supervision. - Kenji Yasunaga:
Improved Asymptotic Bounds for Codes Correcting Insertions and Deletions. - Jun Wang, Chao Jin, Souhail Meftah, Khin Mi Mi Aung:
Popcorn: Paillier Meets Compression For Efficient Oblivious Neural Network Inference. - Dongbao Yang, Yu Zhou, Weiping Wang:
Multi-View Correlation Distillation for Incremental Object Detection. - Mingyue Han, Yinglin Wang:
Doing Good or Doing Right? Exploring the Weakness of Commonsense Causal Reasoning Models. - Bonhong Koo, Changmin Lee, Ali Emre Pusane, Tuna Tugcu, Chan-Byoung Chae:
MIMO Operations in Molecular Communications: Theory, Prototypes, and Open Challenges. - Isaac J. Sledge, José C. Príncipe:
An Information-Theoretic Approach for Automatically Determining the Number of States when Aggregating Markov Chains. - Shyam Narayanan, Sandeep Silwal, Piotr Indyk, Or Zamir:
Randomized Dimensionality Reduction for Facility Location and Single-Linkage Clustering. - Huanhai Xin, Kehao Zhuang, Pengfei Hu, Yunjie Gu, Ping Ju:
Dual Synchronous Generator: Inertial Current Source based Grid-Forming Solution for VSC. - Ron Bitton, Nadav Maman, Inderjeet Singh, Satoru Momiyama, Yuval Elovici, Asaf Shabtai:
A Framework for Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems. - Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks. - Sahib Singh, Rosanne Liu:
Why is Pruning at Initialization Immune to Reinitializing and Shuffling? - Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu:
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks. - Bilwasiva Basu Mallick, Ashutosh Bhatia:
Comparative Analysis of Impact of Cryptography Algorithms on Wireless Sensor Networks. - Stephen Xi Chen, Saurajit Mukherjee, Unmesh Phadke, Tingting Wang, Junwon Park, Ravi Theja Yada:
Web-Scale Generic Object Detection at Microsoft Bing. - Brae J. Webb, Mark Utting, Ian J. Hayes:
A Formal Semantics of the GraalVM Intermediate Representation. - Frank de Hoog, Markus Hegland:
A Note on Error Bounds for Pseudo Skeleton Approximations of Matrices. - Alfred Ultsch, Jörg Hoffmann, Maximilian Röhnert, Malte Von Bonin, Uta Oelschlägel, Cornelia Brendel, Michael C. Thrun:
An Explainable AI System for the Diagnosis of High Dimensional Biomedical Data. - Agathe Balayn, Bogdan Kulynych, Seda F. Gürses:
Exploring Data Pipelines through the Process Lens: a Reference Model forComputer Vision. - Yao Yao, Li Xiao, Zhicheng An, Wanpeng Zhang, Dijun Luo:
Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation. - Yoojin Oh, Marc Toussaint, Jim Mainprice:
A System for Traded Control Teleoperation of Manipulation Tasks using Intent Prediction from Hand Gestures. - Shaofeng Cai, Kaiping Zheng, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang:
ARM-Net: Adaptive Relation Modeling Network for Structured Data. - Xin Liu, Zhisong Pan:
Provable Convergence of Nesterov Accelerated Method for Over-Parameterized Neural Networks. - Jixiang Zhang, Yinfei Xu:
Age of Information in Relay-Assisted Status Updating Systems. - Juliette Achddou, Olivier Cappé, Aurélien Garivier:
Fast Rate Learning in Stochastic First Price Bidding. - Janik M. Hager, Ruben Bauer, Marc Toussaint, Jim Mainprice:
GraspME - Grasp Manifold Estimator. - Shinya Aoi, Ryoe Tomatsu, Yuki Yabuuchi, Soichiro Fujiki, Kei Senda, Kazuo Tsuchiya:
Advanced turning maneuver of a multi-legged robot using pitchfork bifurcation. - Alain Rakotomamonjy, Liva Ralaivola:
Differentially Private Sliced Wasserstein Distance. - Erika Covi, Quang T. Duong, Suzanne Lancaster, Viktor Havel, Jean Coignus, Justine Barbot, Ole Richter, Philipp Klein, Elisabetta Chicca, Laurent Grenouillet, Athanasios Dimoulas, Thomas Mikolajick, Stefan Slesazeck:
Ferroelectric Tunneling Junctions for Edge Computing. - Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, Qingming Huang:
Poisoning Attack against Estimating from Pairwise Comparisons. - Michael Schlechtinger, Damaris Kosack, Heiko Paulheim, Thomas Fetzer:
Winning at Any Cost - Infringing the Cartel Prohibition With Reinforcement Learning. - Sebastian Berns, Terence Broad, Christian Guckelsberger, Simon Colton:
Automating Generative Deep Learning for Artistic Purposes: Challenges and Opportunities. - Jialun Zhang, Yi Wang, Gabriela Hug:
Cost-Oriented Load Forecasting. - Viktor Wiberg, Erik Wallin, Martin Servin, Tomas Nordfjell:
Control of rough terrain vehicles using deep reinforcement learning. - Rania Briq, Pratika Kochar, Juergen Gall:
Towards Better Adversarial Synthesis of Human Images from Text. - Ayed M. Alrashdi, Abdullah E. Alrashdi, Mohamed A. H. Eleiwa:
Optimum GSSK Transmission in Massive MIMO Systems Using the Box-LASSO Decoder. - Oliver Karras, Alexandra Risch, Jil Klünder:
Linking Use Cases and Associated Requirements: A Replicated Eye Tracking Study on the Impact of Linking Variants on Reading Behavior. - Chuan Tang, Xi Yang, Bojian Wu, Zhizhong Han, Yi Chang:
Part2Word: Learning Joint Embedding of Point Clouds and Text by Matching Parts to Words. - Lucas Baier, Tim Schlör, Jakob Schöffer, Niklas Kühl:
Detecting Concept Drift With Neural Network Model Uncertainty. - Lanqing Xue, Kaitao Song, Duocai Wu, Xu Tan, Nevin L. Zhang, Tao Qin, Wei-Qiang Zhang, Tie-Yan Liu:
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling. - Francesco Manigrasso, Filomeno Davide Miro, Lia Morra, Fabrizio Lamberti:
Faster-LTN: a neuro-symbolic, end-to-end object detection architecture. - Tim van Erven, Sarah Sachs, Wouter M. Koolen, Wojciech Kotlowski:
Robust Online Convex Optimization in the Presence of Outliers. - Sandro Stucki, Paolo G. Giarrusso:
A Theory of Higher-Order Subtyping with Type Intervals (Extended Version). - Yong Joon Thoo, Jérémy Maceiras, Philip Abbet, Mattia Racca, Hakan Girgin, Sylvain Calinon:
Online and Offline Robot Programming via Augmented Reality Workspaces. - Bi'an Du, Xiang Gao, Wei Hu, Xin Li:
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning. - Alexander Kiefer, Md. Khaledur Rahman:
An Analytical Survey on Recent Trends in High Dimensional Data Visualization. - Liu Liu, Bo Zhang, Jiangtong Li, Li Niu, Qingyang Liu, Liqing Zhang:
OPA: Object Placement Assessment Dataset. - Weiyue Su, Zeyang Fang, Hui Zhong, Huijuan Wang, Siming Dai, Zhengjie Huang, Yunsheng Shi, Shikun Feng, Zeyu Chen:
NOTE: Solution for KDD-CUP 2021 WikiKG90M-LSC. - Pooya Rostami Mazrae, Maliheh Izadi, Abbas Heydarnoori:
Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-textual Data. - Yipeng Zhou, Xuezheng Liu, Yao Fu, Di Wu, Chao Li, Shui Yu:
Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy. - Wenjing Bian, Zirui Wang, Kejie Li, Victor Adrian Prisacariu:
Ray-ONet: Efficient 3D Reconstruction From A Single RGB Image. - Minkyo Seo, Yoonho Lee, Suha Kwak:
On The Distribution of Penultimate Activations of Classification Networks. - Haocong Rao, Xiping Hu, Jun Cheng, Bin Hu:
SM-SGE: A Self-Supervised Multi-Scale Skeleton Graph Encoding Framework for Person Re-Identification. - Muhammad Rizki Maulana, Wee Sun Lee:
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning. - Hans Weytjens, Jochen De Weerdt:
Creating Unbiased Public Benchmark Datasets with Data Leakage Prevention for Predictive Process Monitoring. - Changxin Huang, Jiang Su, Zhihong Zhang, Dong Zhao, Liang Lin:
Hybrid and dynamic policy gradient optimization for bipedal robot locomotion. - Irlán Grangel-González, Maria-Esther Vidal:
Analyzing a Knowledge Graph of Industry4.0 Standards. - Srinath Potnuru, Prajwol Kumar Nakarmi:
Berserker: ASN.1-based Fuzzing of Radio Resource Control Protocol for 4G and 5G. - Anastasios Giovanidis, Bruno Baynat, Clémence Magnien, Antoine Vendeville:
Ranking Online Social Users by their Influence. - Dominik Sisejkovic, Lennart M. Reimann, Elmira Moussavi, Farhad Merchant, Rainer Leupers:
Logic Locking at the Frontiers of Machine Learning: A Survey on Developments and Opportunities. - Vedad Hadzic, Robert Primas, Roderick Bloem:
Proving SIFA Protection of Masked Redundant Circuits. - Roland Croft, Dominic Newlands, Ziyu Chen, Muhammad Ali Babar:
An Empirical Study of Rule-Based and Learning-Based Approaches for Static Application Security Testing. - Ahmed Hashem El Fiky, Ayman El Shenawy, Mohamed Ashraf Madkour:
Android Malware Category and Family Detection and Identification using Machine Learning. - Yanlin Wang, Ensheng Shi, Lun Du, Xiaodi Yang, Yuxuan Hu, Shi Han, Hongyu Zhang, Dongmei Zhang:
CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network. - Xi Chen, Bo Kang, Jefrey Lijffijt, Tijl De Bie:
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction. - Jon Vadillo, Roberto Santana, José Antonio Lozano:
When and How to Fool Explainable Models (and Humans) with Adversarial Examples. - Giorgos Bouritsas, Andreas Loukas, Nikolaos Karalias, Michael M. Bronstein:
Partition and Code: learning how to compress graphs. - Blazej Leporowski, Daniella Tola, Casper Hansen, Alexandros Iosifidis:
Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving. - Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Michael A. Osborne, Ingmar Posner:
Universal Approximation of Functions on Sets. - Zihao Zhao, Zhihong Shen, Mingjie Tang:
PandaDB: Understanding Unstructured Data in Graph Database. - Valentina Janev, Maria-Esther Vidal, Kemele M. Endris, Dea Pujic:
Managing Knowledge in Energy Data Spaces. - Rohin Shah, Cody Wild, Steven H. Wang, Neel Alex, Brandon Houghton, William H. Guss, Sharada P. Mohanty, Anssi Kanervisto, Stephanie Milani, Nicholay Topin, Pieter Abbeel, Stuart Russell, Anca D. Dragan:
The MineRL BASALT Competition on Learning from Human Feedback. - James Fullwood, Arthur J. Parzygnat:
The information loss of a stochastic map. - Niek Tax, Kees Jan de Vries, Mathijs de Jong, Nikoleta Dosoula, Bram van den Akker, Jon Smith, Olivier Thuong, Lucas Bernardi:
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda. - Xin Cai, Boyu Chen, Jiabei Zeng, Jiajun Zhang, Yunjia Sun, Xiao Wang, Zhilong Ji, Xiao Liu, Xilin Chen, Shiguang Shan:
Gaze Estimation with an Ensemble of Four Architectures. - James Barry, Alireza Mohammadshahi, Joachim Wagner, Jennifer Foster, James Henderson:
The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task. - Qitong Gao, Dong Wang, Joshua D. Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic:
Imputation-Free Learning from Incomplete Observations. - Sarah Heckman, Jeffrey C. Carver, Mark Sherriff, Ahmed Al-Zubidy:
A Systematic Literature Review of Empiricism and Norms of Reporting in Computing Education Research Literature. - Zeinab Rahimi, Mehrnoush Shamsfard:
Contradiction Detection in Persian Text. - Pedro Massey:
Dominant subspace and low-rank approximations from block Krylov subspaces without a gap. - Fatima Zahra Siti, Mustafa Elalami, Fatima Zahra Beraich, Moha Arouch, Salah Dine Qanadli:
Design and Production of an Autonomous Rotary Composter Powered by Photovoltaic Energy. - Soheil Habibian, Ananth Jonnavittula, Dylan P. Losey:
Here's What I've Learned: Asking Questions that Reveal Reward Learning. - Chao Wang, Pengcheng An:
Explainability via Interactivity? Supporting Nonexperts' Sensemaking of Pretrained CNN by Interacting with Their Daily Surroundings. - Tim S. Lyon:
Nested Sequents for Intuitionistic Modal Logics via Structural Refinement. - Zhishan Zhao, Sen Yang, Guohui Liu, Dawei Feng, Kele Xu:
FINT: Field-aware INTeraction Neural Network For CTR Prediction. - Bogdan Marinescu, Elkhatib Kamal, Hoang-Trung Ngo:
A System Model-Based Approach for the Control of Power Park Modules for Grid Voltage and Frequency Services. - Thiago Alves Lima, Valessa V. Viana, Bismark C. Torrico, Fabricio Gonzalez Nogueira, Diego de S. Madeira:
Enhanced prediction for discrete-time input-delayed systems with unknown disturbances. - Lorenza Giupponi, Francesc Wilhelmi:
Blockchain-enabled Network Sharing for O-RAN. - Francesco Malandrino, Carla-Fabiana Chiasserini:
Towards Node Liability in Federated Learning: Computational Cost and Network Overhead. - Michele Grossi, Luca Crippa, Antonello Aita, Giacomo Bartoli, Vito Sammarco, Eleonora Picca, N. Said, Filippo Tramonto, Federico Mattei:
A Serverless Cloud Integration For Quantum Computing. - Frantisek Sefcik, Wanda Benesova:
Improving a neural network model by explanation-guided training for glioma classification based on MRI data. - Jean Feydy, Pierre Roussillon, Alain Trouvé, Pietro Gori:
Fast and Scalable Optimal Transport for Brain Tractograms. - Prathmesh Pathwar, Simran Gill:
Tackling COVID-19 Infodemic using Deep Learning. - Ganghua Wang, Jie Ding:
Subset Privacy: Draw from an Obfuscated Urn. - Gaojian Wang, Qian Jiang, Xin Jin, Xiaohui Cui:
FFR_FD: Effective and Fast Detection of DeepFakes Based on Feature Point Defects. - Markus Chimani, Finn Stutzenstein:
Spanner Approximations in Practice. - Annalisa Buffa, Gregor Gantner, Carlotta Giannelli, Dirk Praetorius, Rafael Vázquez Hernández:
Mathematical foundations of adaptive isogeometric analysis. - Hadi Mansourifar, Dana Alsagheer, Weidong Shi, Lan Ni, Yan Huang:
Statistical Analysis of Perspective Scores on Hate Speech Detection. - Jim Samuel, Ratnakar Palle, Eduardo Correa Soares:
Textual Data Distributions: Kullback Leibler Textual Distributions Contrasts on GPT-2 Generated Texts, with Supervised, Unsupervised Learning on Vaccine & Market Topics & Sentiment. - Matej Kosec, Sheng Fu, Mario Michael Krell:
Packing: Towards 2x NLP BERT Acceleration. - Michael Winter, Rüdiger Pryss, Thomas Probst, Winfried Schlee, Miles Tallon, Ulrich Frick, Manfred Reichert:
Are Non-Experts Able to Comprehend Business Process Models - Study Insights Involving Novices and Experts. - Ruming Zhang:
Exponential convergence of perfectly matched layers for scattering problems with periodic surfaces. - Felix Biessmann, Dionysius Irza Refiano:
Quality Metrics for Transparent Machine Learning With and Without Humans In the Loop Are Not Correlated. - Thomas Tsao, Doris Y. Tsao:
A topological solution to object segmentation and tracking. - Burc Gokden:
Power Law Graph Transformer for Machine Translation and Representation Learning. - Romina Etezadi, Mehrnoush Shamsfard:
A Knowledge-based Approach for Answering Complex Questions in Persian. - Zicheng Zhang, Wei Sun, Xiongkuo Min, Tao Wang, Wei Lu, Guangtao Zhai:
No-Reference Quality Assessment for 3D Colored Point Cloud and Mesh Models. - Xiaoyu Cao, Neil Zhenqiang Gong:
Understanding the Security of Deepfake Detection. - Mathias Löwe, Jennifer Villareale, Evan Freed, Aleksanteri Sladek, Jichen Zhu, Sebastian Risi:
Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning. - Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang:
MixStyle Neural Networks for Domain Generalization and Adaptation. - Moritz Zappel, Simon Bultmann, Sven Behnke:
6D Object Pose Estimation using Keypoints and Part Affinity Fields. - Jiashuo Jiang, Will Ma, Jiawei Zhang:
Tight Guarantees for Multi-unit Prophet Inequalities and Online Stochastic Knapsack. - Julian D'Costa, Engel Lefaucheux, Eike Neumann, Joël Ouaknine, James Worrell:
On the Complexity of the Escape Problem for Linear Dynamical Systems over Compact Semialgebraic Sets. - Honghu Xue, Rebecca Herzog, Till M. Berger, Tobias Bäumer, Anne Weissbach, Elmar Rueckert:
Using Probabilistic Movement Primitives in Analyzing Human Motion Difference under Transcranial Current Stimulation. - Silvia Bucci, Francesco Cappio Borlino, Barbara Caputo, Tatiana Tommasi:
Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation. - Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences. - Xiao-Lei Zhang:
Unsupervised Ensemble Selection for Multilayer Bootstrap Networks. - Rüdiger Brecht, Werner Bauer, Alexander Bihlo, François Gay-Balmaz, Scott P. MacLachlan:
Selective decay for the rotating shallow-water equations with a structure-preserving discretization. - Pál András Papp, Roger Wattenhofer:
Stabilization Bounds for Influence Propagation from a Random Initial State. - Danielle Silva, Teresa Bernarda Ludermir:
Uso de GSO cooperativos com decaimentos de pesos para otimizacao de redes neurais. - Fatema T. Johora, Jörg P. Müller:
Modeling Interactions of Multimodal Road Users in Shared Spaces. - Nicholas Pestell, Thom Griffith, Nathan F. Lepora:
Artificial SA-I and RA-I Afferentsfor Tactile Sensing of Ridges and Gratings. - Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia:
One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget. - Dirk Hartmann, Lukas Failer:
A Differentiable Solver Approach to Operator Inference. - Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
Are standard Object Segmentation models sufficient for Learning Affordance Segmentation? - Roshan Namal Rajapakse, Mansooreh Zahedi, Muhammad Ali Babar:
An Empirical Analysis of Practitioners' Perspectives on Security Tool Integration into DevOps. - Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel:
Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints. - Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz:
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. - Peter Hardy, Srinandan Dasmahapatra, Hansung Kim:
Super Resolution in Human Pose Estimation: Pixelated Poses to a Resolution Result? - Meng-Jiun Chiou, Henghui Ding, Hanshu Yan, Changhu Wang, Roger Zimmermann, Jiashi Feng:
Recovering the Unbiased Scene Graphs from the Biased Ones. - Zhiyi Lin, Chunyue Song, Jun Zhao, Chao Yang, Huan Yin:
Economic Dispatch of an Integrated Microgrid Based on the Dynamic Process of CCGT Plant. - Jaydeep Chauhan, Srikrishna Varadarajan, Muktabh Mayank Srivastava:
Semi-supervised Learning for Dense Object Detection in Retail Scenes. - Terence L. van Zyl, Matthew Woolway, Andrew Paskaramoorthy:
ParDen: Surrogate Assisted Hyper-Parameter Optimisation for Portfolio Selection. - Qian Li, Hao Peng, Jianxin Li, Yiming Hei, Rui Sun, Jiawei Sheng, Shu Guo, Lihong Wang, Philip S. Yu:
Deep Learning Schema-based Event Extraction: Literature Review and Current Trends. - Thomas Konstantinovsky, Matan Mizrachi:
On Bi-gram Graph Attributes. - Miao Hao, Yizhuo Li, Zonglin Di, Nitesh B. Gundavarapu, Xiaolong Wang:
Test-Time Personalization with a Transformer for Human Pose Estimation. - Yu Sun, Shuohuan Wang, Shikun Feng, Siyu Ding, Chao Pang, Junyuan Shang, Jiaxiang Liu, Xuyi Chen, Yanbin Zhao, Yuxiang Lu, Weixin Liu, Zhihua Wu, Weibao Gong, Jianzhong Liang, Zhizhou Shang, Peng Sun, Wei Liu, Xuan Ouyang, Dianhai Yu, Hao Tian, Hua Wu, Haifeng Wang:
ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation. - Lin Chen, Hossein Esfandiari, Gang Fu, Vahab S. Mirrokni, Qian Yu:
Feature Cross Search via Submodular Optimization. - Allison Beemer, Alberto Ravagnani:
The Curious Case of the Diamond Network. - Jungsoo Park, Sewon Min, Jaewoo Kang, Luke Zettlemoyer, Hannaneh Hajishirzi:
FaVIQ: FAct Verification from Information-seeking Questions. - Zhongdao Wang, Hengshuang Zhao, Ya-Li Li, Shengjin Wang, Philip H. S. Torr, Luca Bertinetto:
Do Different Tracking Tasks Require Different Appearance Models? - Sudipta Banerjee, Arun Ross:
Conditional Identity Disentanglement for Differential Face Morph Detection. - Dongqi Fu, Jingrui He:
DPPIN: A Biological Dataset of Dynamic Protein-Protein Interaction Networks. - Tai-Yu Pan, Cheng Zhang, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao:
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation. - Alexander Miserlis Hoyle, Pranav Goel, Denis Peskov, Andrew Hian-Cheong, Jordan L. Boyd-Graber, Philip Resnik:
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence. - Yuxin Fang, Xinggang Wang, Rui Wu, Jianwei Niu, Wenyu Liu:
What Makes for Hierarchical Vision Transformer? - Mohammad Aimal, Maheen Bakhtyar, Junaid Baber, Sadia Lakho, Umar Mohammad, Warda Ahmed, Jahanvash Karim:
Identifying negativity factors from social media text corpus using sentiment analysis method. - Eugene Vorontsov, Samuel Kadoury:
Label noise in segmentation networks : mitigation must deal with bias. - Aljaz Bozic, Pablo R. Palafox, Justus Thies, Angela Dai, Matthias Nießner:
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers. - Chen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro:
Long-Short Transformer: Efficient Transformers for Language and Vision. - Shashank Hegde, Anssi Kanervisto, Aleksei Petrenko:
Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems. - Razieh L. Saremi, Hardik Yagnik, Julian Togelius, Ye Yang, Guenther Ruhe:
An Evolutionary Algorithm for Task Scheduling in Crowdsourced Software Development. - Ansuman Biswas, Ashutosh Gupta, Meghana Missula, Mukund Thattai:
Automated inference of production rules for glycans. - Kristy Choi, Madeline Liao, Stefano Ermon:
Featurized Density Ratio Estimation. - Yuqi Zhang, Qian Qi, Chong Liu, Weihua Chen, Fan Wang, Hao Li, Rong Jin:
Graph Convolution for Re-ranking in Person Re-identification. - Razieh Lotfalian Saremi, Hamid Shamszare, Marzieh Lotfalian Saremi, Ye Yang:
Nobody of the Crowd: An Empirical Evaluation on Worker Clustering in Topcoder. - Kyeongryeol Go, Seyoung Yun:
Meta-learning Amidst Heterogeneity and Ambiguity. - Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski:
End-to-End Weak Supervision. - Dylan J. Foster, Akshay Krishnamurthy:
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination. - Pranav O. Mathews, Christian B. Duffee, Abel Thayil, Ty E. Stovall, Christopher H. Bennett, Felipe García-Sánchez, Matthew J. Marinella, Jean Anne C. Incorvia, Naimul Hassan, Xuan Hu, Joseph S. Friedman:
High-Speed CMOS-Free Purely Spintronic Asynchronous Recurrent Neural Network. - Pranav Jeevan, Amit Sethi:
Vision Xformers: Efficient Attention for Image Classification. - John Sonchack, Devon Loehr, Jennifer Rexford, David Walker:
Lucid: A Language for Control in the Data Plane. - Mikhail Lepekhin, Serge Sharoff:
Experiments with adversarial attacks on text genres. - Roberto Cahuantzi, Xinye Chen, Stefan Güttel:
A comparison of LSTM and GRU networks for learning symbolic sequences. - Petr Taborsky, Lars Kai Hansen:
Generalization by design: Shortcuts to Generalization in Deep Learning. - Fabian Leinen, Vittorio Cozzolino, Torsten Schön:
VolNet: Estimating Human Body Part Volumes from a Single RGB Image. - Xindi Wang, Onur Varol, Tina Eliassi-Rad:
Information Access Equality on Network Generative Models. - Stavros Nousias, Nikos Piperigkos, Gerasimos Arvanitis, Apostolos P. Fournaris, Aris S. Lalos, Konstantinos Moustakas:
Empowering cyberphysical systems of systems with intelligence. - Christian Huber, Juan Hussain, Sebastian Stüker, Alexander Waibel:
Instant One-Shot Word-Learning for Context-Specific Neural Sequence-to-Sequence Speech Recognition. - Matthew A. Petroff:
Accessible Color Cycles for Data Visualization. - Indika S. A. Dhanapala, Ramona Marfievici, Dirk Pesch:
LUCID: Receiver-aware Model-based Data Communication for Low-power Wireless Networks. - Aadirupa Saha, Pierre Gaillard:
Dueling Bandits with Adversarial Sleeping. - Wenting Li, Deepjyoti Deka:
Physics-Informed Graph Learning for Robust Fault Location in Distribution Systems. - Hamed Yaghoobian, Hamid R. Arabnia, Khaled Rasheed:
Sarcasm Detection: A Comparative Study. - R. Stuart Geiger, Dominique Cope, Jamie Ip, Marsha Lotosh, Aayush Shah, Jenny Weng, Rebekah Tang:
"Garbage In, Garbage Out" Revisited: What Do Machine Learning Application Papers Report About Human-Labeled Training Data? - Amin Nikanjam, Foutse Khomh:
Design Smells in Deep Learning Programs: An Empirical Study. - Pasquale Cascarano, Maria Colomba Comes, Andrea Sebastiani, Arianna Mencattini, Elena Loli Piccolomini, Eugenio Martinelli:
DeepCEL0 for 2D Single Molecule Localization in Fluorescence Microscopy. - Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng:
Weakly Supervised Named Entity Tagging with Learnable Logical Rules. - Severine Verlinden, Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder:
Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution. - Ayed M. Alrashdi, Houssem Sifaou, Tareq Y. Al-Naffouri:
Performance Analysis of Regularized Convex Relaxation for Complex-Valued Data Detection (Extended Version). - Masumi Sugiyama, Jacob B. Schroder, Ben S. Southworth, Stephanie Friedhoff:
Weighted Relaxation for Multigrid Reduction in Time. - Piotr Zelasko, Raghavendra Pappagari, Najim Dehak:
What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition. - Georgios Sofianidis, Joze M. Rozanec, Dunja Mladenic, Dimosthenis Kyriazis:
A Review of Explainable Artificial Intelligence in Manufacturing. - Joze M. Rozanec, Inna Novalija, Patrik Zajec, Klemen Kenda, Dunja Mladenic:
Knowledge Modelling and Active Learning in Manufacturing. - Ziyi Liu, Jie Yang, Orly Yadid-Pecht:
LightFuse: Lightweight CNN based Dual-exposure Fusion. - Artem Vysogorets, Julia Kempe:
Connectivity Matters: Neural Network Pruning Through the Lens of Effective Sparsity. - Joseph Ortiz, Talfan Evans, Andrew J. Davison:
A visual introduction to Gaussian Belief Propagation. - Ujjwal Baid, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Evan Calabrese, Errol Colak, Keyvan Farahani, Jayashree Kalpathy-Cramer, Felipe C. Kitamura, Sarthak Pati, Luciano M. Prevedello, Jeffrey D. Rudie, Chiharu Sako, Russell T. Shinohara, Timothy Bergquist, Rong Chai, James A. Eddy, Julia Elliott, Walter Reade, Thomas Schaffter, Thomas Yu, Jiaxin Zheng, BraTS Annotators, Christos Davatzikos, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, John B. Freymann, Justin S. Kirby, Benedikt Wiestler, Priscila Crivellaro, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah-Shaykh, Roland Wiest, András Jakab, Marc-André Weber, Abhishek Mahajan, Bjoern H. Menze, Adam E. Flanders, Spyridon Bakas:
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification. - Caspar Gruijthuijsen, Luis C. García-Peraza-Herrera, Gianni Borghesan, Dominiek Reynaerts, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Emmanuel B. Vander Poorten:
Autonomous Robotic Endoscope Control based on Semantically Rich Instructions. - Michael A. Bender, Tsvi Kopelowitz, William Kuszmaul, Ely Porat, Clifford Stein:
Incremental Edge Orientation in Forests. - Sumegha Garg, Pravesh K. Kothari, Pengda Liu, Ran Raz:
Memory-Sample Lower Bounds for Learning Parity with Noise. - Mert Koç, Ekim Yurtsever, Keith A. Redmill, Ümit Özgüner:
Pedestrian Emergence Estimation and Occlusion-Aware Risk Assessment for Urban Autonomous Driving. - Yihuan Liao, Min Qiu, Jinhong Yuan:
Connecting Spatially Coupled LDPC Code Chains for Bit-Interleaved Coded Modulation. - Huaju Liang, Hongyang Bai, Ke Hu, Xinbo Lv:
Polarized skylight orientation determination artificial neural network. - Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei, Christopher D. Manning:
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering. - Dennis Peuter, Philipp Marohn, Viorica Sofronie-Stokkermans:
Symbol Elimination for Parametric Second-Order Entailment Problems (with Applications to Problems in Wireless Network Theory). - Ryan Wesslen, Alireza Karduni, Douglas Markant, Wenwen Dou:
Effect of uncertainty visualizations on myopic loss aversion and equity premium puzzle in retirement investment decisions. - Kaiqi Chen, Yong Lee, Harold Soh:
Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning. - Jun Wang, Xiaohan Yu, Yongsheng Gao:
Feature Fusion Vision Transformer for Fine-Grained Visual Categorization. - Shashikant Ilager, Rajkumar Buyya:
Energy and Thermal-aware Resource Management of Cloud Data Centres: A Taxonomy and Future Directions. - Divyanjali Sharma, Subodh Sharma:
Thread-modular Analysis of Release-Acquire Concurrency. - Yong Wen, Marcus Kalander, Chanfei Su, Lujia Pan:
An Ensemble Noise-Robust K-fold Cross-Validation Selection Method for Noisy Labels. - Dylan P. Losey, Andrea Bajcsy, Marcia K. O'Malley, Anca D. Dragan:
Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections. - Maria Paola Bonacina:
Proof Generation in CDSAT. 1-4 - Quentin Garchery:
A Framework for Proof-carrying Logical Transformations. 5-23 - Valentin Blot, Louise Dubois de Prisque, Chantal Keller, Pierre Vial:
General Automation in Coq through Modular Transformations. 24-39 - Hans-Jörg Schurr, Mathias Fleury, Haniel Barbosa, Pascal Fontaine:
Alethe: Towards a Generic SMT Proof Format (extended abstract). 49-54 - Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao:
Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks. - Shruthi Chari, Prithwish Chakraborty, Mohamed F. Ghalwash, Oshani Seneviratne, Elif K. Eyigöz, Daniel M. Gruen, Fernando J. Suarez Saiz, Ching-Hua Chen, Pablo Meyer Rojas, Deborah L. McGuinness:
Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case. - Paolo Fazzini, Marco Torre, Valeria Rizza, Francesco Petracchini:
Effects of Smart Traffic Signal Control on Air Quality. - Jyoti Fakirah, Lauhim Mahfuz Zishan, Roshni Mooruth, Michael N. Johnstone, Wencheng Yang:
A Low-Cost Machine Learning Based Network Intrusion Detection System with Data Privacy Preservation. - Yuhui Su, Zhe Liu, Chunyang Chen, Junjie Wang, Qing Wang:
OwlEyes-Online: A Fully Automated Platform for Detecting and Localizing UI Display Issues. - Dongjae Lee, Inkyu Jang, Jeonghyun Byun, Hoseong Seo, H. Jin Kim:
Real-Time Motion Planning of a Hydraulic Excavator using Trajectory Optimization and Model Predictive Control. - Dianbo Liu, Alex Lamb, Kenji Kawaguchi, Anirudh Goyal, Chen Sun, Michael Curtis Mozer, Yoshua Bengio:
Discrete-Valued Neural Communication. - Taehun Kim, Hyemin Lee, Daijin Kim:
UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation. - Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness B. Shroff:
Weighted Gaussian Process Bandits for Non-stationary Environments. - Miao Zhang, Liangqiong Qu, Praveer Singh, Jayashree Kalpathy-Cramer, Daniel L. Rubin:
SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging. - Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei:
A Short Note on the Relationship of Information Gain and Eluder Dimension. - Jun Shu, Deyu Meng, Zongben Xu:
Learning an Explicit Hyperparameter Prediction Policy Conditioned on Tasks. - Mengxi Jia, Xinhua Cheng, Shijian Lu, Jian Zhang:
Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identification. - Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu:
An Inverse QSAR Method Based on Linear Regression and Integer Programming. - L. Lao Beyer, Nadya Balabanska, Ezra Tal, Sertac Karaman:
Multi-Modal Motion Planning Using Composite Pose Graph Optimization. - Mark J. Nelson:
Estimates for the Branching Factors of Atari Games. - Zhiyu Chen, Zhanghao Yu, Qing Jin, Yan He, Jingyu Wang, Sheng Lin, Dai Li, Yanzhi Wang, Kaiyuan Yang:
CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference. - Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham:
Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling. - Ruihong Qiu, Sen Wang, Zhi Chen, Hongzhi Yin, Zi Huang:
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation. - Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu:
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. - Sota Kato, Kazuhiro Hotta:
MSE Loss with Outlying Label for Imbalanced Classification. - Ashutosh Rajput, Nakshatra Gupta, Sridhar Chimalakonda:
COSPEX: A Program Comprehension Tool for Novice Programmers. - Wei Li, Yuanjun Xiong, Shuo Yang, Mingze Xu, Yongxin Wang, Wei Xia:
Semi-TCL: Semi-Supervised Track Contrastive Representation Learning. - Zuowei Shen, Haizhao Yang, Shijun Zhang:
Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed Number of Neurons. - Shang Li, Guixuan Zhang, Zhengxiong Luo, Jie Liu, Zhi Zeng, Shuwu Zhang:
From General to Specific: Online Updating for Blind Super-Resolution. - Abhishek Kumar, Deep Ghadiyali, Sridhar Chimalakonda:
SOCluster- Towards Intent-based Clustering of Stack Overflow Questions using Graph-Based Approach. - Marc Habermann, Weipeng Xu, Helge Rhodin, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt:
NRST: Non-rigid Surface Tracking from Monocular Video. - Minha Kim, Shahroz Tariq, Simon S. Woo:
CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation. - Francesco Malandrino, Carla-Fabiana Chiasserini, Gian Michele Dell'Aera:
Edge-powered Assisted Driving For Connected Cars. - Yohei Koga, Hiroyuki Miyazaki, Ryosuke Shibasaki:
Adapting Vehicle Detector to Target Domain by Adversarial Prediction Alignment. - Shiwen He, Shaowen Xiong, Wei Zhang, Yiting Yang, Ju Ren, Yongming Huang:
GBLinks: GNN-Based Beam Selection and Link Activation for Ultra-dense D2D mmWave Networks. - Yuncheng Jiang, Qi Lin, Jiwei Zhang, Jun Wang, Danjian Qian, Yuxi Cai:
DL-AMP and DBTO: An Automatic Merge Planning and Trajectory Optimization and Its Application in Autonomous Driving. - Akshaykumar Gunari, Shashidhar Veerappa Kudari, Sukanya Nadagadalli, Keerthi Goudnaik, Ramesh Ashok Tabib, Uma Mudenagudi, Adarsh Jamadandi:
Deep Visual Attention-Based Transfer Clustering. - Xinyu Wang, Zixia Jia, Yong Jiang, Kewei Tu:
Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings. - Changzhi Sun, Xinbo Zhang, Jiangjie Chen, Chun Gan, Yuanbin Wu, Jiaze Chen, Hao Zhou, Lei Li:
Probabilistic Graph Reasoning for Natural Proof Generation. - Jirat Pasuksmit, Patanamon Thongtanunam, Shanika Karunasekera:
Towards Just-Enough Documentation for Agile Effort Estimation: What Information Should Be Documented? - Inari Listenmaa, Jason Morris, Alfred Ang, Maryam Hanafiah, Regina Cheong:
An NLG pipeline for a legal expert system: a work in progress. - Yossi Arjevani, Michael Field:
Equivariant bifurcation, quadratic equivariants, and symmetry breaking for the standard representation of Sn. - Hui Ye, Xiulong Yang, Martin Takác, Rajshekhar Sunderraman, Shihao Ji:
Improving Text-to-Image Synthesis Using Contrastive Learning. - Sungyoon Lee, Hoki Kim, Jaewook Lee:
GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization. - Éric Rutten, Sophie Cerf, Raphaël Bleuse, Valentin Reis, Swann Perarnau:
Sustaining Performance While Reducing Energy Consumption: A Control Theory Approach. - Erdem Akagündüz, Oguzhan Çifdalöz:
Dynamical System Parameter Identification using Deep Recurrent Cell Networks. - Po-Kan Shih, Bahman Moraffah:
Bayesian Nonparametric Modelling for Model-Free Reinforcement Learning in LTE-LAA and Wi-Fi Coexistence. - Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Jayender Jagadeesan, William M. Wells III, Sarah F. Frisken, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong:
Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration. - Long Zhuo, Shunquan Tan, Bin Li, Jiwu Huang:
Self-Adversarial Training incorporating Forgery Attention for Image Forgery Localization. - Kasturi Vasudevan, A. Phani Kumar Reddy, Gyanesh Kumar Pathak, Mahmoud A. M. Albreem:
Turbo Coded Single User Massive MIMO. - Dmitrijs Trizna:
Shell Language Processing: Unix command parsing for Machine Learning. - Nikhil Varma Keetha, Michael Milford, Sourav Garg:
A Hierarchical Dual Model of Environment- and Place-Specific Utility for Visual Place Recognition. - Jana Lang, Martin A. Giese, Matthis Synofzik, Winfried Ilg, Sebastian Otte:
Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification. - Chen Xu, Xiaoqian Liu, Xiaowen Liu, Laohu Wang, Canan Huang, Tong Xiao, Jingbo Zhu:
The NiuTrans End-to-End Speech Translation System for IWSLT 2021 Offline Task. - Canze Zhu, Qunying Liao:
Two new classes of projective two-weight linear codes. - Canze Zhu, Qunying Liao:
Complete weight enumerators for several classes of two-weight and three-weight linear codes. - Dumindu Tissera, Kasun Vithanage, Rukshan Darshana Wijesinghe, Subha Fernando, Ranga Rodrigo:
End-To-End Data-Dependent Routing in Multi-Path Neural Networks. - Kun He, Chao Li, Yixiao Yang, Gao Huang, John E. Hopcroft:
Integrating Circle Kernels into Convolutional Neural Networks. - Dafa Ren, Xiaoqiang Ren, Xiaofan Wang, Sundara Tejaswi Digumarti, Guodong Shi:
Fast-Learning Grasping and Pre-Grasping via Clutter Quantization and Q-map Masking. - Dumindu Tissera, Kasun Vithanage, Rukshan Darshana Wijesinghe, Alex Xavier, Sanath Jayasena, Subha Fernando, Ranga Rodrigo:
Neural Mixture Models with Expectation-Maximization for End-to-end Deep Clustering. - Jean-Baptiste Hervé, Christoph Salge:
Comparing PCG metrics with Human Evaluation in Minecraft Settlement Generation. - Yuchu Liu, David Issa Mattos, Jan Bosch, Helena Holmström Olsson, Jonn Lantz:
Size matters? Or not: A/B testing with limited sample in automotive embedded software. - Mengyang Wu, Wei Zeng, Chi-Wing Fu:
FloorLevel-Net: Recognizing Floor-Level Lines with Height-Attention-Guided Multi-task Learning. - Florian Haselbeck, Dominik G. Grimm:
EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data. - Lars Berscheid, Pascal Meißner, Torsten Kröger:
Learning a Generative Transition Model for Uncertainty-Aware Robotic Manipulation. - Zimu Zheng, Qiong Chen, Chuang Hu, Dan Wang, Fangming Liu:
On-edge Multi-task Transfer Learning: Model and Practice with Data-driven Task Allocation. - Jinxian Wang, Xuejun Liu, Siyuan Shen, Lei Deng, Hui Liu:
DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations. - Yuchu Liu, Jan Bosch, Helena Holmström Olsson, Jonn Lantz:
An architecture for enabling A/B experiments in automotive embedded software. - Yi-Ling Chung, Serra Sinem Tekiroglu, Sara Tonelli, Marco Guerini:
Empowering NGOs in Countering Online Hate Messages. - Huafeng Yang, Xingjian Chen, Fangyi Zhang, Guangyue Hei, Yunjie Wang, Rong Du:
GCN-Based Linkage Prediction for Face Clustering on Imbalanced Datasets: An Empirical Study. - Matthijs Sloep, Petros Kalendralis, Ananya Choudhury, Lerau Seyben, Jasper Snel, Nibin Moni George, Martijn Veening, Johannes A. Langendijk, Andre Dekker, Johan van Soest, Rianne Fijten:
A Knowledge graph representation of baseline characteristics for the Dutch proton therapy research registry. - Takami Sato, Qi Alfred Chen:
On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving. - Ioannis Anagnostides, Dimitris Fotakis, Panagiotis Patsilinakos:
Metric-Distortion Bounds under Limited Information. - Xiaomeng Chu, Jiajun Deng, Yao Li, Zhenxun Yuan, Yanyong Zhang, Jianmin Ji, Yu Zhang:
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance Voting. - Kai Ye, Yinru Ye, Minqiang Yang, Bin Hu:
Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation. - Joanna Waczynska, Edoardo Martelli, Sofia Vallecorsa, Edward Karavakis, Tony Cass:
Convolutional LSTM models to estimate network traffic. - Andreas Orthey, Florian T. Pokorny, Marc Toussaint:
Approximate Topological Optimization using Multi-Mode Estimation for Robot Motion Planning. - Anton Golubev, Natalia V. Loukachevitch:
Transfer Learning for Improving Results on Russian Sentiment Datasets. - Jiatong Cai, Chenglu Zhu, Can Cui, Honglin Li, Tong Wu, Shichuan Zhang, Lin Yang:
Generalizing Nucleus Recognition Model in Multi-source Images via Pruning. - Amelia Jiménez-Sánchez, Mickael Tardy, Miguel Ángel González Ballester, Diana Mateus, Gemma Piella:
Memory-aware curriculum federated learning for breast cancer classification. - Behnam Shariati, Jose-Juan Pedreno-Manresa, Annika Dochhan, Abubakar Siddique Muqaddas, Ramon Casellas, Óscar González de Dios, Lourdes Luque Canto, Bodo Lent, Jorge E. López de Vergara, Sergio López-Buedo, Francisco Javier Moreno, Pablo Pavón, Luis Velasco, Sai Kireet Patri, Alessio Giorgetti, Filippo Cugini, Andrea Sgambelluri, Reza Nejabati, Dimitra Simeonidou, Ralf-Peter Braun, Achim Autenrieth, Jörg-Peter Elbers, Johannes Karl Fischer, Ronald Freund:
A Latency-Aware Real-Time Video Surveillance Demo: Network Slicing for Improving Public Safety. - Raven Beutner, Bernd Finkbeiner:
A Temporal Logic for Strategic Hyperproperties. - Weiwei Jiang, Jiayun Luo:
An Evaluation of Machine Learning and Deep Learning Models for Drought Prediction using Weather Data. - Aditya Kunar, Robert Birke, Zilong Zhao, Lydia Y. Chen:
DTGAN: Differential Private Training for Tabular GANs. - Lang Nie, Chunyu Lin, Kang Liao, Shuaicheng Liu, Yao Zhao:
Depth-Aware Multi-Grid Deep Homography Estimation with Contextual Correlation. - Ana-Cristina Rogoz, Radu Muntean, Stefan Cobeli:
Semantic Segmentation Alternative Technique: Segmentation Domain Generation. - Francesco Farina, Lawrence Phillips, Nicola J. Richmond:
Intrinsic uncertainties and where to find them. - Yuzi Yan, Xu Tan, Bohan Li, Guangyan Zhang, Tao Qin, Sheng Zhao, Yuan Shen, Wei-Qiang Zhang, Tie-Yan Liu:
AdaSpeech 3: Adaptive Text to Speech for Spontaneous Style. - Ashraf Tantawy:
Automated Malware Design for Cyber Physical Systems. - Maria Predari, Charilaos Tzovas, Christian Schulz, Henning Meyerhenke:
An MPI-based Algorithm for Mapping Complex Networks onto Hierarchical Architectures. - Hasan Mahmud, Mashrur Mahmud Morshed, Md. Kamrul Hasan:
A deep-learning-based multimodal depth-aware dynamic hand gesture recognition system. - Chang Cheng, Yadong Yan, Mingjun Guan, Jianan Zhang, Yu Wang:
Tactile Sensing with a Tendon-Driven Soft Robotic Finger. - Dawen Xu, Cheng Chu, Cheng Liu, Ying Wang, Huawei Li, Xiaowei Li, Kwang-Ting Cheng:
Energy-Efficient Accelerator Design for Deformable Convolution Networks. - Iordan Ganev, Robin Walters:
The QR decomposition for radial neural networks. - Hedayat Hosseini, Elisa Rojas, David Carrascal:
Implementation of RPL in OMNeT++. - Bart M. P. Jansen, Shivesh Kumar Roy, Michal Wlodarczyk:
On the Hardness of Compressing Weights. - Chengcheng Guo, Minjie Lin, Heyang Guo, Pengpeng Liang, Erkang Cheng:
Coarse-to-fine Semantic Localization with HD Map for Autonomous Driving in Structural Scenes. - Jianqiao Zheng, Sameera Ramasinghe, Simon Lucey:
Rethinking Positional Encoding. - Sören Mindermann, Muhammed Razzak, Winnie Xu, Andreas Kirsch, Mrinank Sharma, Adrien Morisot, Aidan N. Gomez, Sebastian Farquhar, Jan Markus Brauner, Yarin Gal:
Prioritized training on points that are learnable, worth learning, and not yet learned. - Christoph Berger, Magdalini Paschali, Ben Glocker, Konstantinos Kamnitsas:
Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis. - Nam Kyun Kim, Hong Kook Kim:
Self-training with noisy student model and semi-supervised loss function for dcase 2021 challenge task 4. - Svend C. Svendsen:
Practical I/O-Efficient Multiway Separators. - Francisco Lázaro, Balázs Matuz:
Irregular Invertible Bloom Look-Up Tables. - Yunze Liu, Qingnan Fan, Shanghang Zhang, Hao Dong, Thomas A. Funkhouser, Li Yi:
Contrastive Multimodal Fusion with TupleInfoNCE. - Michael Kapralov, Amulya Musipatla, Jakab Tardos, David P. Woodruff, Samson Zhou:
Noisy Boolean Hidden Matching with Applications. - Markus Chimani, Niklas Troost, Tilo Wiedera:
A General Approach to Approximate Multistage Subgraph Problems. - Jérémy Berthomieu, Jean-Charles Faugère:
Polynomial-Division-Based Algorithms for Computing Linear Recurrence Relations. - Lifa Zhu, Dongrui Liu, Changwei Lin, Rui Yan, Francisco Gómez Fernández, Ninghua Yang, Ziyong Feng:
Point Cloud Registration using Representative Overlapping Points. - Ivona Zakarija, Zoran Skocir, Krunoslav Zubrinic:
Human resources management system for Higher Education institutions. - Derek Weber, Lucia Falzon:
Temporal Nuances of Coordination Networks. - Sarah Winter:
Decision problems for origin-close top-down tree transducers (full version). - Nihar Sawant, Boris Kramer, Benjamin Peherstorfer:
Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference. - Paul Hilt, Edgar Kaziakhmedov, Sourabh Bhide, Maria Leptin, Constantin Pape, Anna Kreshuk:
Stateless actor-critic for instance segmentation with high-level priors. - Ricardo Luna Gutierrez, Matteo Leonetti:
Meta-Reinforcement Learning for Heuristic Planning. - Yongho Shin, Hyung-Chan An:
Making Three Out of Two: Three-Way Online Correlated Selection. - Golsa Heidari, Kamran Zamanifar, Naser Nematbakhsh, Farhad Mardookhi:
How to Discover a Semantic Web Service by Knowing Its Functionality Parameters. - Thomas Mejstrik, Vladimir Yu. Protasov:
Elliptic polytopes and invariant norms of linear operators. - Davide Coccomini, Nicola Messina, Claudio Gennaro, Fabrizio Falchi:
Combining EfficientNet and Vision Transformers for Video Deepfake Detection. - Pavel Hubácek, Jan Václavek:
On Search Complexity of Discrete Logarithm. - Constance Douwes, Philippe Esling, Jean-Pierre Briot:
A Multi-Objective Approach for Sustainable Generative Audio Models. - Jeremy Tan, Benjamin Hou, Thomas G. Day, John M. Simpson, Daniel Rueckert, Bernhard Kainz:
Detecting Outliers with Poisson Image Interpolation. - Yanou Ramon, Tom Vermeire, Olivier Toubia, David Martens, Theodoros Evgeniou:
Understanding Consumer Preferences for Explanations Generated by XAI Algorithms. - Marsel Faizullin, Anastasiia Kornilova, Gonzalo Ferrer:
Open-Source LiDAR Time Synchronization System by Mimicking GPS-clock. - Anastasios K. Papazafeiropoulos, Cunhua Pan, Ahmet M. Elbir, Van-Dinh Nguyen, Pandelis Kourtessis, Symeon Chatzinotas:
Asymptotic Analysis of Max-Min Weighted SINR for IRS-Assisted MISO Systems with Hardware Impairments. - Yufei Wang, Haoliang Li, Lap-Pui Chau, Alex C. Kot:
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation. - Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel:
Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction. - Marsel Faizullin, Gonzalo Ferrer:
Best Axes Composition: Multiple Gyroscopes IMU Sensor Fusion to Reduce Systematic Error. - Sanket Biswas, Pau Riba, Josep Lladós, Umapada Pal:
DocSynth: A Layout Guided Approach for Controllable Document Image Synthesis. - Pengpeng Shao, Tong Liu, Dawei Zhang, Jianhua Tao, Feihu Che, Guohua Yang:
Multi-Level Graph Contrastive Learning. - Martijn Gösgens, Remco van der Hofstad, Nelly Litvak:
The Hyperspherical Geometry of Community Detection: Modularity as a Distance. - Fasma Diele:
Energy-preserving splitting integrators for sampling from Gaussian distributions with Hamiltonian Monte Carlo method. - Giammarco La Barbera, Pietro Gori, Haithem Boussaid, Bruno Belucci, Alessandro Delmonte, Jeanne Goulin, Sabine Sarnacki, Laurence Rouet, Isabelle Bloch:
Automatic size and pose homogenization with spatial transformer network to improve and accelerate pediatric segmentation. - Tianjin Huang, Yulong Pei, Vlado Menkovski, Mykola Pechenizkiy:
On Generalization of Graph Autoencoders with Adversarial Training. - Shuaizheng Yan, Xingyu Chen, Zhengxing Wu, Jian Wang, Yue Lu, Min Tan, Junzhi Yu:
HybrUR: A Hybrid Physical-Neural Solution for Unsupervised Underwater Image Restoration. - José Ribeiro, Raíssa Lorena Silva da Silva, Ronnie Alves:
Does Dataset Complexity Matters for Model Explainers? - Arijit Bishnu, Arijit Ghosh, Gopinath Mishra:
Distance Estimation Between Unknown Matrices Using Sublinear Projections on Hamming Cube. - Annika Lang, Mike Pereira:
Galerkin-Chebyshev approximation of Gaussian random fields on compact Riemannian manifolds. - Melanie Kircheis, Daniel Potts, Manfred Tasche:
Nonuniform fast Fourier transforms with nonequispaced spatial and frequency data and fast sinc transforms. - Kevin Strauss, Artem Savkin, Federico Tombari:
Attention-based Adversarial Appearance Learning of Augmented Pedestrians. - Arash Amini, Hafez Farazi, Sven Behnke:
Real-time Pose Estimation from Images for Multiple Humanoid Robots. - Andrey Skripnikov, N. Wagner, J. Shafer, Marcus W. Beck, Edward Sherwood, M. Burke:
Using Localized Twitter Activity for Red Tide Impact Assessment. - Alexander C. Nwala, Michele C. Weigle, Michael L. Nelson:
Garbage, Glitter, or Gold: Assigning Multi-dimensional Quality Scores to Social Media Seeds for Web Archive Collections. - Zineng Tang, Jaemin Cho, Hao Tan, Mohit Bansal:
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer. - Armin Moin, Atta Badii, Stephan Günnemann:
A Model-Driven Engineering Approach to Machine Learning and Software Modeling. - Armin Moin, Atta Badii, Stephan Günnemann:
Enabling Un-/Semi-Supervised Machine Learning for MDSE of the Real-World CPS/IoT Applications. - Armin Moin, Andrei Mituca, Atta Badii, Stephan Günnemann:
ML-Quadrat & DriotData: A Model-Driven Engineering Tool and a Low-Code Platform for Smart IoT Services. - Beril Sirmaçek:
Remote sensing, AI and innovative prediction methods for adapting cities to the impacts of the climate change. - Hessah Albanwan, Rongjun Qin:
Spatiotemporal Fusion in Remote Sensing. - Hanqi Guo, Tom Peterka:
Exact Analytical Parallel Vectors. - Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang:
A Unified Off-Policy Evaluation Approach for General Value Function. - Luis Henrique de Oliveira Alves, João Luiz Rebelatto, Richard D. Souza, Glauber Brante:
Network-Coded Cooperative LoRa Network with D2D Communication. - Leitian Tao, Li Mi, Nannan Li, Xianhang Cheng, Yaosi Hu, Zhenzhong Chen:
Predicate correlation learning for scene graph generation. - Carlo Tiseo, Sydney Rebecca Charitos, Michael N. Mistry:
Geometrical Postural Optimisation of 7-DoF Limb-Like Manipulators. - Charles Lu, Andréanne Lemay, Katharina Hoebel, Jayashree Kalpathy-Cramer:
Evaluating subgroup disparity using epistemic uncertainty in mammography. - Takehiko Ohkawa, Takuma Yagi, Atsushi Hashimoto, Yoshitaka Ushiku, Yoichi Sato:
Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation. - Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang:
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning. - Matt Jordan, Alexandros G. Dimakis:
Provable Lipschitz Certification for Generative Models. - Matti Karppa, Martin Aumüller, Rasmus Pagh:
DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search. - Lee Cohen, Ulrike Schmidt-Kraepelin, Yishay Mansour:
Dueling Bandits with Team Comparisons. - Alex Bihlo, James Jackaman, Francis Valiquette:
Invariant Variational Schemes for Ordinary Differential Equations. - Ayushe Gangal, Peeyush Kumar, Sunita Kumari, Aditya Kumar:
Neural Computing. - Shyan Akmal, R. Ryan Williams:
MAJORITY-3SAT (and Related Problems) in Polynomial Time. - Mohammad Kazem Sharifian, Georges Kesserwani:
Benchmarking (multi)wavelet-based dynamic and static non-uniform grid solvers for flood inundation modelling. - José Carneiro, Nuno Oliveira, Norberto Sousa, Eva Maia, Isabel Praça:
Machine Learning for Network-based Intrusion Detection Systems: an Analysis of the CIDDS-001 Dataset. - Van-Dinh Nguyen, Symeon Chatzinotas, Björn E. Ottersten, Trung Q. Duong:
FedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud Systems. - Zhibin Duan, Dongsheng Wang, Bo Chen, Chaojie Wang, Wenchao Chen, Yewen Li, Jie Ren, Mingyuan Zhou:
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network. - Daniel Escobar-Grisales, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave:
Gender Recognition in Informal and Formal Language Scenarios via Transfer Learning. - Saeideh Nabipour, Masoume Gholizade, Nima Nabipour:
Area-Delay-Efficeint FPGA Design of 32-bit Euclid's GCD based on Sum of Absolute Difference. - Yinpeng Wang, Nianru Wang, Qiang Ren:
Predicting Surface Heat Flux on Complex Systems via Conv-LSTM. - Mehak Gupta, Shayan Saifi, Konark Verma, Kumari Rekha, Aaditeshwar Seth:
Exploring the Scope of Using News Articles to Understand Development Patterns of Districts in India. - Archak Das, Kaustav Bose, Buddhadeb Sau:
Exploring a Dynamic Ring without Landmark. - Aurghya Maiti, Vineet Nair, Gaurav Sinha:
Causal Bandits on General Graphs. - Stratis Tsirtsis, Abir De, Manuel Gomez-Rodriguez:
Counterfactual Explanations in Sequential Decision Making Under Uncertainty. - W. D. Kularatne, Lasanthika H. Dissawa, T. M. S. S. K. Ekanayake, Janaka B. Ekanayake:
Developing and delivering a remote experiment based on the experiential learning framework during COVID-19 pandemic. - Devashree R. Patrikar, Mayur Rajram Parate:
Anomaly Detection using Edge Computing in Video Surveillance System: Review. - Hrishikesh Terdalkar, Arnab Bhattacharya:
Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs. - Azqa Nadeem, Sicco Verwer, Stephen Moskal, Shanchieh Jay Yang:
SAGE: Intrusion Alert-driven Attack Graph Extractor. - Sourav Dutta, Peter Rivera-Casillas, Orie M. Cecil, Matthew W. Farthing, Emma Perracchione, Mario Putti:
Data-driven reduced order modeling of environmental hydrodynamics using deep autoencoders and neural ODEs. - Younan Gao, Meng He:
Space Efficient Two-Dimensional Orthogonal Colored Range Counting. - Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer:
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis. - Kangle Deng, Andrew Liu, Jun-Yan Zhu, Deva Ramanan:
Depth-supervised NeRF: Fewer Views and Faster Training for Free. - Arun Narenthiran Sivakumar, Sahil Modi, Mateus Valverde Gasparino, Che Ellis, Andres Eduardo Baquero Velasquez, Girish Chowdhary, Saurabh Gupta:
Learned Visual Navigation for Under-Canopy Agricultural Robots. - Maxwell I. Nye, Michael Henry Tessler, Joshua B. Tenenbaum, Brenden M. Lake:
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning. - Raul Salgado-García:
Time-irreversibility tests for random-length time series: the matching-time approach applied to DNA. - Lingfeng Li, Xue-Cheng Tai, Jiang Yang:
Generalization Error Analysis of Neural networks with Gradient Based Regularization. - Yante Li, Jinsheng Wei, Seyednavid Mohammadifoumani, Yang Liu, Guoying Zhao:
Deep Learning based Micro-expression Recognition: A Survey. - Shohin Mukherjee, Sandip Aine, Maxim Likhachev:
MPLP: Massively Parallelized Lazy Planning. - Weixin Jiang, Eric Schwenker, Trevor Spreadbury, Kai Li, Maria K. Y. Chan, Oliver Cossairt:
Plot2Spectra: an Automatic Spectra Extraction Tool. - Nicholas Rabb, Lenore Cowen, Jan P. de Ruiter, Matthias Scheutz:
Cognitive Contagion: How to model (and potentially counter) the spread of fake news. - Muhammad Suhail Saleem, Raghav Sood, Sho Onodera, Rohit Arora, Hiroyuki Kanazawa, Maxim Likhachev:
Search-based Path Planning for a High Dimensional Manipulator in Cluttered Environments Using Optimization-based Primitives. - Nico Zevallos, Evan Harber, Abhimanyu, Kirtan Patel, Yizhu Gu, Kenny Sladick, Francis Guyette, Leonard S. Weiss, Michael R. Pinsky, Hernando Gomez, John M. Galeotti, Howie Choset:
Toward Robotically Automated Femoral Vascular Access. - Ren Wang, Tianqi Chen, Stephen Lindsly, Cooper Stansbury, Alnawaz Rehemtulla, Indika Rajapakse, Alfred O. Hero III:
RAILS: A Robust Adversarial Immune-inspired Learning System. - Justin M. Wozniak, Timothy G. Armstrong, Ketan C. Maheshwari, Daniel S. Katz, Michael Wilde, Ian T. Foster:
Toward Interlanguage Parallel Scripting for Distributed-Memory Scientific Computing. - Ren Wang, Tianqi Chen, Stephen Lindsly, Cooper Stansbury, Indika Rajapakse, Alfred Olivier Hero:
Immuno-mimetic Deep Neural Networks (Immuno-Net). - Huiyu Wu, Diego Klabjan:
Logit-based Uncertainty Measure in Classification. - Shuchi Chawla, Jelani Nelson, Chris Umans, David P. Woodruff:
Visions in Theoretical Computer Science: A Report on the TCS Visioning Workshop 2020. - Anthony DiGiovanni, Ethan C. Zell:
Survey of Self-Play in Reinforcement Learning. - Soham Das, Navonil Mustafee, Varun Ramamohan:
A Discrete Simulation Optimization Approach Towards Calibration of an Agent-based Simulation Model of Hepatitis C Virus Transmission. - Rachel Sterneck, Annie Polish, Claire Bowern:
Topic Modeling in the Voynich Manuscript. - Francesca Babiloni, Ioannis Marras, Filippos Kokkinos, Jiankang Deng, Grigorios Chrysos, Stefanos Zafeiriou:
Poly-NL: Linear Complexity Non-local Layers with Polynomials. - Daniel Diomedi, Aidan Hogan:
Question Answering over Knowledge Graphs with Neural Machine Translation and Entity Linking. - David J. Lee, Samuel McCauley, Shikha Singh, Max Stein:
Telescoping Filter: A Practical Adaptive Filter. - Olivia M. Brown, Andrew Curtis, Justin A. Goodwin:
Principles for Evaluation of AI/ML Model Performance and Robustness. - Won-Ik Cho, Seok Min Kim, Hyunchang Cho, Nam Soo Kim:
Kosp2e: Korean Speech to English Translation Corpus. - Édouard Bonnet, Eun Jung Kim, Amadeus Reinald, Stéphan Thomassé, Rémi Watrigant:
Twin-width and polynomial kernels. - Vismika Ranasinghe, Nandana Rajatheva, Matti Latva-aho:
Graph Neural Network Based Access Point Selection for Cell-Free Massive MIMO Systems. - Yan Zhao, Imen Megdiche, Franck Ravat:
Data Lake Ingestion Management. - Annabel L. Davies, Theodoros Papakonstantinou, Adriani Nikolakopoulou, Gerta Rücker, Tobias Galla:
Network meta-analysis and random walks. - Julia LaFond, Jason T. Wright, Macy J. Huston:
Furthering a Comprehensive SETI Bibliography. - Hamid Shamszare, Razieh L. Saremi, Sanam Jena:
From Zero to The Hero: A Collaborative Market Aware Recommendation System for Crowd Workers. - Sajiv Shah, Brad Saund:
SiMPLeR: A Series-Elastic Manipulator with Passive Variable Stiffness for Legged Robots. - Daniel Lee, Chao-Chun Liang, Keh-Yih Su:
Answering Chinese Elementary School Social Study Multiple Choice Questions. - Bowei Xi:
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges. - Bowei Xi, Yujie Chen, Fan Fei, Zhan Tu, Xinyan Deng:
Bio-Inspired Adversarial Attack Against Deep Neural Networks. - Javier Velasco-Mata, Víctor González-Castro, Eduardo Fidalgo, Enrique Alegre:
Efficient Detection of Botnet Traffic by features selection and Decision Trees. - Mustain Billah, Adnan Anwar, Ziaur Rahman, Syed Md. Galib:
Bi-Level Poisoning Attack Model and Countermeasure for Appliance Consumption Data of Smart Homes. - Dylan P. Losey, Hong Jun Jeon, Mengxi Li, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Jeannette Bohg, Dorsa Sadigh:
Learning Latent Actions to Control Assistive Robots. - Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki:
Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional Networks. - Alkis Gotovos, Rebekka Burkholz, John Quackenbush, Stefanie Jegelka:
Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification. - Ankit J. Shah, Pritish Kamath, Shen Li, Patrick L. Craven, Kevin J. Landers, Kevin Oden, Julie Shah:
Supervised Bayesian Specification Inference from Demonstrations. - Christian Wolschke, Stefan Marksteiner, Tobias Braun, Markus Wolf:
An Agnostic Domain Specific Language for Implementing Attacks in an Automotive Use Case. - Shahin Kamali, Pooya Nikbakht:
On the Fault-Tolerant Online Bin Packing Problem. - Alireza Shirmarz:
Towards Network Behaviour Trend Evaluation in Software Defined Network (SDN) Considering the number of paths. - Umair Shahzad:
Control Schemes For Distribution Grids With Mass Distributed Generation. - Ritu Lakshmi, Humza Naseer, Sean B. Maynard, Atif Ahmad:
Sensemaking in Cybersecurity Incident Response: The Interplay of Organizations, Technology and Individuals. - Mahardhika Pratama, Choiru Za'in, Edwin Lughofer, Eric Pardede, Dwi A. P. Rahayu:
Scalable Teacher Forcing Network for Semi-Supervised Large Scale Data Streams. - Chandima Wickramatunga, Darshana Sedera, Sachithra Lokuge:
Do Small Firms Implement Enterprise Systems Differently? The Case of E-Silk Route Ventures. - Chandima Wickramatunga, Sachithra Lokuge:
The Implementation of an ES in a Small Firm: The case of Silk Cooperation. - Holden Lee, Chirag Pabbaraju, Anish Prasad Sevekari, Andrej Risteski:
Universal Approximation for Log-concave Distributions using Well-conditioned Normalizing Flows. - Taehei Kim, Sung-Hee Lee:
Quadruped Locomotion on Non-Rigid Terrain using Reinforcement Learning. - Silvia Butti, Victor Dalmau:
Fractional homomorphism, Weisfeiler-Leman invariance, and the Sherali-Adams hierarchy for the Constraint Satisfaction Problem. - David Kwan, Luiz Marcio Cysneiros, Julio César Sampaio do Prado Leite:
Towards Achieving Trust Through Transparency and Ethics (Pre-Print). - Boyu Chen, Peixia Li, Chuming Li, Baopu Li, Lei Bai, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang:
GLiT: Neural Architecture Search for Global and Local Image Transformer. - Minoru Kuribayashi, Tatsuya Yasui, Asad Malik, Nobuo Funabiki:
Immunization of Pruning Attack in DNN Watermarking Using Constant Weight Code. - Zehui Chen, Chenhongyi Yang, Qiaofei Li, Feng Zhao, Zheng-Jun Zha, Feng Wu:
Disentangle Your Dense Object Detector. - Jason Orlosky, Misha Sra, Kenan Bektas, Huaishu Peng, Jeeeun Kim, Nataliya Kos'myna, Tobias Höllerer, Anthony Steed, Kiyoshi Kiyokawa, Kaan Aksit:
Telelife: The Future of Remote Living. - Yijing Yang, Vasileios Magoulianitis, C.-C. Jay Kuo:
E-PixelHop: An Enhanced PixelHop Method for Object Classification. - Numair Khan, Min H. Kim, James Tompkin:
Edge-aware Bidirectional Diffusion for Dense Depth Estimation from Light Fields. - Alvin Chan, Ali Madani, Ben Krause, Nikhil Naik:
Deep Extrapolation for Attribute-Enhanced Generation. - Xiang Li, Lingjing Wang, Yi Fang:
Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes. - Iury Cleveston, Esther Luna Colombini:
RAM-VO: Less is more in Visual Odometry. - Irene Li, Jessica Pan, Jeremy Goldwasser, Neha Verma, Wai Pan Wong, Muhammed Yavuz Nuzumlali, Benjamin Rosand, Yixin Li, Matthew Zhang, David Chang, Richard Andrew Taylor, Harlan M. Krumholz, Dragomir R. Radev:
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review. - Jon McCormack, Camilo Cruz Gambardella:
Growing and Evolving 3D Prints. - Antoine Dizet, Cédric Le Bono, Amélie Legeleux, Maëlic Neau, Cédric Buche:
RoboCup@Home Education 2020 Best Performance: RoboBreizh, a modular approach. - Yuanxin Zhong, Minghan Zhu, Huei Peng:
VIN: Voxel-based Implicit Network for Joint 3D Object Detection and Segmentation for Lidars. - Yuanxin Zhong, Huei Peng:
Real-time Semantic 3D Dense Occupancy Mapping with Efficient Free Space Representations. - Upuli Liyanapathirana, Kaumini Gunasinghe, Gihan Dias:
SinSpell: A Comprehensive Spelling Checker for Sinhala. - Reza Jalil Mozhdehi, Henry Medeiros:
Deep Convolutional Correlation Iterative Particle Filter for Visual Tracking. - Zekun Ye, Lvzhou Li:
Sample complexity of hidden subgroup problem. - Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot:
SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers. - Ziqi Wang, Jialin Liu, Georgios N. Yannakakis:
Keiki: Towards Realistic Danmaku Generation via Sequential GANs. - Dai Li, Kaiyuan Yang:
A Dual-Port 8-T CAM-Based Network Intrusion Detection Engine for IoT. - Mayela Zamora, Sebastian Meller, Filip Kajin, James J. Sermon, Robert Toth, Moaad Benjaber, Derk-Jan Dijk, Rafal Bogacz, Gregory A. Worrell, Antonio Valentín, Benoit Duchet, Holger A. Volk, Timothy Denison:
Embedding digital chronotherapy into medical devices - A canine case study in controlling status epilepticus through multi-scale rhythmic brain stimulation. - Reza Rahimian, Jeremy Clark:
TokenHook: Secure ERC-20 smart contract. - Akihiko Sayo, Diego Thomas, Hiroshi Kawasaki, Yuta Nakashima, Katsushi Ikeuchi:
PoseRN: A 2D pose refinement network for bias-free multi-view 3D human pose estimation. - Yuyao Shi, Abdullah Aamir Hayat, Vinu Sivanantham, Mohan Rajesh Elara:
WaspL: Design of a Reconfigurable Logistic Robot for Hospital Settings. - Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, Milind Tambe:
Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling. - Jacob Austin, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, Rianne van den Berg:
Structured Denoising Diffusion Models in Discrete State-Spaces. - Xiaodong Wang, Junbao Zhuo, Shuhao Cui, Shuhui Wang:
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer. - Sachihiro Youoku, Takahisa Yamamoto, Junya Saito, Akiyoshi Uchida, Xiaoyu Mi, Ziqiang Shi, Liu Liu, Zhongling Liu, Osafumi Nakayama, Kentaro Murase:
Multi-modal Affect Analysis using standardized data within subjects in the Wild. - Yifu Wang, Jiaqi Yang, Xin Peng, Peng Wu, Ling Gao, Kun Huang, Jiaben Chen, Laurent Kneip:
Visual Odometry with an Event Camera Using Continuous Ray Warping and Volumetric Contrast Maximization. - Juan Jose Garau Luis, Edward F. Crawley, Bruce G. Cameron:
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research. - Shouta Sugahara, Maomi Ueno:
Exact Learning Augmented Naive Bayes Classifier. - Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao:
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. - Keerti Choudhary, Avi Cohen, N. S. Narayanaswamy, David Peleg, R. Vijayaragunathan:
Budgeted Dominating Sets in Uncertain Graphs. - Fangneng Zhan, Yingchen Yu, Rongliang Wu, Kaiwen Cui, Aoran Xiao, Shijian Lu, Ling Shao:
Bi-level Feature Alignment for Versatile Image Translation and Manipulation. - Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier:
On Codomain Separability and Label Inference from (Noisy) Loss Functions. - Xumeng Han, Xuehui Yu, Nan Jiang, Guorong Li, Jian Zhao, Qixiang Ye, Zhenjun Han:
Group Sampling for Unsupervised Person Re-identification. - Xue Gong, Desmond John Higham, Konstantinos Zygalakis:
Directed Network Laplacians and Random Graph Models. - Shiwen He, Shaowen Xiong, Yeyu Ou, Jian Zhang, Jiaheng Wang, Yongming Huang, Yaoxue Zhang:
An Overview on the Application of Graph Neural Networks in Wireless Networks. - Hu Chen, Hong Li, Bifu Hu, Kenan Ma, Yuchun Sun:
A convolutional neural network for teeth margin detection on 3-dimensional dental meshes. - Boyu Ning, Zhongbao Tian, Zhi Chen, Chong Han, Jinhong Yuan, Shaoqian Li:
Prospective Beamforming Technologies for Ultra-Massive MIMO in Terahertz Communications: A Tutorial. - Ying Siu Liang, Dongkyu Choi, Kenneth Kwok:
Maintaining a Reliable World Model using Action-aware Perceptual Anchoring. - Tesshu Hanaka, Toshiyuki Hirose, Hirotaka Ono:
Capacitated Network Design Games on a Generalized Fair Allocation Model. - Hyunsoo Kim, Taehyung Kim, Hyejin Kim, Insik Jung, Hakkeon Lee, Hyunmin Seo, Daesik Hong:
6G: from Densification to Diversification. - Antoine de Mathelin, François Deheeger, Guillaume Richard, Mathilde Mougeot, Nicolas Vayatis:
ADAPT : Awesome Domain Adaptation Python Toolbox. - Nayyer Aafaq, Naveed Akhtar, Wei Liu, Mubarak Shah, Ajmal Mian:
Controlled Caption Generation for Images Through Adversarial Attacks. - Xueyuan Lin, Haihong E, Wenyu Song, Haoran Luo:
EchoEA: Echo Information between Entities and Relations for Entity Alignment. - Anran Liu, Yihao Liu, Jinjin Gu, Yu Qiao, Chao Dong:
Blind Image Super-Resolution: A Survey and Beyond. - Samet Gul, Erkan Zergeroglu, Enver Tatlicioglu:
Position Constrained, Adaptive Control of Robotic Manipulators without Velocity Measurements. - Furong Yang, Qinghua Wu, Zhenyu Li, Yanmei Liu, Giovanni Pau, Gaogang Xie:
BBRv2+: Towards Balancing Aggressiveness and Fairness with Delay-based Bandwidth Probing. - Mojtaba Vaezi, Amin Azari, Saeed R. Khosravirad, Mahyar Shirvanimoghaddam, Mohammad Mahdi Azari, Danai Chasaki, Petar Popovski:
Cellular, Wide-Area, and Non-Terrestrial IoT: A Survey on 5G Advances and the Road Towards 6G. - Qinghua Wu, Quanbo Shen, Jian Luan, Yujun Wang:
Effective and Differentiated Use of Control Information for Multi-speaker Speech Synthesis. - Nathaniel Trask, Mamikon A. Gulian, Andy Huang, Kookjin Lee:
Probabilistic partition of unity networks: clustering based deep approximation. - Sihai Guan, Qing Cheng, Yong Zhao:
Distributed adaptive algorithm based on the asymmetric cost of error functions. - Hajime Taira, Koki Onbe, Naoyuki Miyashita, Masatoshi Okutomi:
Video-Based Camera Localization Using Anchor View Detection and Recursive 3D Reconstruction. - Belen Alastruey, Gerard I. Gállego, Marta R. Costa-jussà:
Efficient Transformer for Direct Speech Translation. - Monty Santarossa, Lukas Schneider, Claudius Zelenka, Lars Schmarje, Reinhard Koch, Uwe Franke:
Learning Stixel-based Instance Segmentation. - Sevil Sen, Burcu Can:
Android Security using NLP Techniques: A Review. - Yu Yokoi:
An Approximation Algorithm for Maximum Stable Matching with Ties and Constraints. - Mohit Garg, Cian Johnston, Mélanie Bouroche:
Can Connected Autonomous Vehicles really improve mixed traffic efficiency in realistic scenarios? - Alessandro Antonucci, Paolo Bevilacqua, Stefano Leonardi, Luigi Palopoli, Daniele Fontanelli:
Humans as Path-Finders for Safe Navigation. - Quan Duong, Dang Nguyen, Quoc Nguyen:
Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach. - Jun Ma, Yanxiao Liu, Shenghao Yang:
Rate Region of Scheduling a Wireless Network with Discrete Propagation Delays. - Nunzio A. Letizia, Andrea M. Tonello:
Discriminative Mutual Information Estimators for Channel Capacity Learning. - Joakim Björk, Karl Henrik Johansson, Florian Dörfler:
Dynamic Virtual Power Plant Design for Fast Frequency Reserves: Coordinating Hydro and Wind. - Peidong Liu, Zibin He, Xiyu Yan, Yong Jiang, Shutao Xia, Feng Zheng, Maowei Hu:
WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations. - Bhavya Kalra, Kulin Shah, Naresh Manwani:
RISAN: Robust Instance Specific Abstention Network. - Takehiro Ito, Yuni Iwamasa, Yasuaki Kobayashi, Yu Nakahata, Yota Otachi, Kunihiro Wasa:
Reconfiguring Directed Trees in a Digraph. - Dawen Xu, Meng He, Cheng Liu, Ying Wang, Long Cheng, Huawei Li, Xiaowei Li, Kwang-Ting Cheng:
R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors. - Jia Li, Linhua Xiang, Jiwei Chen, Zengfu Wang:
Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation. - Santiago Pascual, Joan Serrà, Jordi Pons:
Adversarial Auto-Encoding for Packet Loss Concealment. - Shuang Deng, Qiulei Dong:
GA-NET: Global Attention Network for Point Cloud Semantic Segmentation. - Fangyuan Wang, Zhigang Song, Hongchen Jiang, Bo Xu:
MACCIF-TDNN: Multi aspect aggregation of channel and context interdependence features in TDNN-based speaker verification. - Shuang Deng, Bo Liu, Qiulei Dong, Zhanyi Hu:
Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and Segmentation. - Ye Yu, Abhimitra Meka, Mohamed Elgharib, Hans-Peter Seidel, Christian Theobalt, William A. P. Smith:
Self-supervised Outdoor Scene Relighting. - Mouath Aouayeb, Wassim Hamidouche, Catherine Soladié, Kidiyo Kpalma, Renaud Séguier:
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition. - Mohamed Elgharib, Mohit Mendiratta, Justus Thies, Matthias Nießner, Hans-Peter Seidel, Ayush Tewari, Vladislav Golyanik, Christian Theobalt:
Egocentric Videoconferencing. - Francesco Marchetti, Emma Perracchione:
Efficient Reduced Basis Algorithm (ERBA) for kernel-based approximation. - Justin Jacob, Navin Khaneja:
A General Controller Scheme for Stabilization & Disturbance Rejection with Application to Non-Linear Systems and its Implementation on 2 DOF Helicopter. - Gaowen Liu, Hao Tang, Hugo Latapie, Jason J. Corso, Yan Yan:
Cross-View Exocentric to Egocentric Video Synthesis. - Koki Hamada, Shuichi Miyazaki:
Refined Computational Complexities of Hospitals/Residents Problem with Regional Caps. - Perfect Y. Gidisu, Michiel E. Hochstenbach:
A Generalized CUR decomposition for matrix pairs. - Luca Calderoni, Luciano Margara, Moreno Marzolla:
A Heuristic for Direct Product Graph Decomposition. - Zeljko Kraljevic, Anthony Shek, Daniel Bean, Rebecca Bendayan, James T. Teo, Richard J. B. Dobson:
MedGPT: Medical Concept Prediction from Clinical Narratives. - Bahram Sadeghi Bigham:
Minimum Constraint Removal Problem for Line Segments is NP-hard. - Taimoor Ahmed Javed, Waseem Shahzad, Muhammad Umair Arshad:
Hierarchical Text Classification of Urdu News using Deep Neural Network. - Junya Saito, Xiaoyu Mi, Akiyoshi Uchida, Sachihiro Youoku, Takahisa Yamamoto, Kentaro Murase, Osafumi Nakayama:
Action Units Recognition Using Improved Pairwise Deep Architecture. - Alexander Hvatov, Mikhail Maslyaev, Iana S. Polonskaya, Mikhail Sarafanov, Mark Merezhnikov, Nikolay O. Nikitin:
Model-agnostic multi-objective approach for the evolutionary discovery of mathematical models. - Andreas Spilz, Michael Munz:
Novel Approach To Synchronisation Of Wearable IMUs Based On Magnetometers. - Pierre Clairambault, Hugo Paquet:
The Quantitative Collapse of Concurrent Games with Symmetry. - Wenshuo Guo, Fangwei Fu:
Semilinear transformations in coding theory and their application to cryptography. - Markus Bayer, Marc-André Kaufhold, Christian Reuter:
A Survey on Data Augmentation for Text Classification. - Zhi Chen, Yadan Luo, Sen Wang, Ruihong Qiu, Jingjing Li, Zi Huang:
Mitigating Generation Shifts for Generalized Zero-Shot Learning. - Tadas Pyragius, Kasper Jensen:
A high performance active noise control system for magnetic fields. - Kaiwen Cui, Gongjie Zhang, Fangneng Zhan, Jiaxing Huang, Shijian Lu:
FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Composition. - Srikanth Srinivasan, S. Venkitesh:
On the Probabilistic Degree of an n-variate Boolean Function. - Jiaming Zhang, Kailun Yang, Angela Constantinescu, Kunyu Peng, Karin Müller, Rainer Stiefelhagen:
Trans4Trans: Efficient Transformer for Transparent Object Segmentation to Help Visually Impaired People Navigate in the Real World. - Peter Leupold, Sebastian Maneth:
Deciding Top-Down Determinism of Regular Tree Languages. - Xiachong Feng, Xiaocheng Feng, Bing Qin:
A Survey on Dialogue Summarization: Recent Advances and New Frontiers. - Ernie Chang, Xiaoyu Shen, Hui-Syuan Yeh, Vera Demberg:
On Training Instance Selection for Few-Shot Neural Text Generation. - Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young, Sunil Aryal, Francisco Cruz:
Levels of explainable artificial intelligence for human-aligned conversational explanations. - Ernie Chang, Yow-Ting Shiue, Hui-Syuan Yeh, Vera Demberg:
Time-Aware Ancient Chinese Text Translation and Inference. - Huayao Liu, Ruiping Liu, Kailun Yang, Jiaming Zhang, Kunyu Peng, Rainer Stiefelhagen:
HIDA: Towards Holistic Indoor Understanding for the Visually Impaired via Semantic Instance Segmentation with a Wearable Solid-State LiDAR Sensor. - Emily Waters, Mahdi Maktabdar Oghaz, Lakshmi Babu Saheer:
Urban Tree Species Classification Using Aerial Imagery. - Todor Davchev, Sarah Bechtle, Subramanian Ramamoorthy, Franziska Meier:
Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning. - Koushik Biswas, Sandeep Kumar, Ashish Kumar Pandey:
Intensity Prediction of Tropical Cyclones using Long Short-Term Memory Network. - Martin Bromberger, Irina Dragoste, Rasha Faqeh, Christof Fetzer, Markus Krötzsch, Christoph Weidenbach:
A Datalog Hammer for Supervisor Verification Conditions Modulo Simple Linear Arithmetic. - Juan D. Correa, Sanghack Lee, Elias Bareinboim:
Nested Counterfactual Identification from Arbitrary Surrogate Experiments. - Thore Thießen, Jan Vahrenhold:
Oblivious Median Slope Selection. - Johannes Wachs, Mariusz Nitecki, William Schueller, Axel Polleres:
The Geography of Open Source Software: Evidence from GitHub. - Sajal K. Das, Rafal Kapelko:
On the Robot Assisted Movement in Wireless Mobile Sensor Networks. - Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen:
Bias-Tolerant Fair Classification. - Lu Yin, Vlado Menkovski, Shiwei Liu, Mykola Pechenizkiy:
Hierarchical Semantic Segmentation using Psychometric Learning. - Henning Urbat, Daniel Hausmann, Stefan Milius, Lutz Schröder:
Nominal Büchi Automata with Name Allocation. - Hanbin Dai, Hailin Shi, Wu Liu, Linfang Wang, Yinglu Liu, Tao Mei:
FasterPose: A Faster Simple Baseline for Human Pose Estimation. - Haiwei Pan, Shuning He, Kejia Zhang, Bo Qu, Chunling Chen, Kun Shi:
MuVAM: A Multi-View Attention-based Model for Medical Visual Question Answering. - Mohammad Asadzadeh, Larisa Beilina:
Stability and convergence analysis of a domain decomposition FE/FD method for the Maxwell's equations in time domain. - Xiaohan Xing, Yuenan Hou, Hang Li, Yixuan Yuan, Hongsheng Li, Max Q.-H. Meng:
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification. - Iván Cantador, Andrés Carvallo, Fernando Díez, Denis Parra:
Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations. - Deep Patel, Erin Gao, Anirudh Koul, Siddha Ganju, Meher Anand Kasam:
Scalable Data Balancing for Unlabeled Satellite Imagery. - Robert Samuel Ralph Myers, Henning Urbat:
Syntactic Minimization of Nondeterministic Finite Automata. - Krzysztof Domino, Akash Kundu, Krzysztof Krawiec:
Quadratic and Higher-Order Unconstrained Binary Optimization of Railway Dispatching Problem for Quantum Computing. - Kyungjae Lee, Seung-won Hwang, Sang-eun Han, Dohyeon Lee:
Robustifying Multi-hop QA through Pseudo-Evidentiality Training. - Venkatesh Venkataramanan, Sridevi Kaza, Anuradha M. Annaswamy:
DER Forecast using Privacy Preserving Federated Learning. - Xiao Zhang, David Evans:
Incorporating Label Uncertainty in Understanding Adversarial Robustness. - Qingqing Wu, Xiaobo Zhou, Wen Chen, Jun Li, Xiuyin Zhang:
IRS-Aided WPCNs: A New Optimization Framework for Dynamic IRS Beamforming. - Daizhan Cheng:
A Formula for Designing Zero-Determinant Strategies. - Patrick John Chia, Bingqing Yu, Jacopo Tagliabue:
"Are you sure?": Preliminary Insights from Scaling Product Comparisons to Multiple Shops. - Nihal Sharma, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai:
Episodic Bandits with Stochastic Experts. - AnneMarie Borg, Floris Bex:
Contrastive Explanations for Argumentation-Based Conclusions. - Mika Hämäläinen, Niko Partanen, Khalid Al-Najjar:
Lemmatization of Historical Old Literary Finnish Texts in Modern Orthography. - Jesse David Dinneen, Ba Xuan Nguyen:
How Big Are Peoples' Computer Files? File Size Distributions Among User-managed Collections. - Lluís Alemany-Puig, Ramon Ferrer-i-Cancho:
Linear-time calculation of the expected sum of edge lengths in random projective linearizations of trees. - Omar Vidal Pino, Erickson Rangel do Nascimento, Mario Fernando Montenegro Campos:
Introducing the structural bases of typicality effects in deep learning. - Hyunmin Jeon, Gary Geunbae Lee:
DORA: Toward Policy Optimization for Task-oriented Dialogue System with Efficient Context. - Richard Mayr, Eric Munday:
Strategy Complexity of Mean Payoff, Total Payoff and Point Payoff Objectives in Countable MDPs. - Qian Hu, Keyun Qin:
Attribute reduction and rule acquisition of formal decision context based on two new kinds of decision rules. - Ani Kristo, Kapil Vaidya, Tim Kraska:
Defeating duplicates: A re-design of the LearnedSort algorithm. - William Jones, Jesse David Dinneen, Robert Capra, Anne R. Diekema, Manuel A. Pérez-Quiñones:
Personal Information Management. - Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne, Mahfuzur Rahman, Simone Angioni, Angelo A. Salatino, Diego Reforgiato Recupero, Nadezhda Vassilyeva, Enrico Motta, Jens Lehmann:
Trans4E: Link Prediction on Scholarly Knowledge Graphs. - Hui Lu, Zhiyong Wu, Xixin Wu, Xu Li, Shiyin Kang, Xunying Liu, Helen Meng:
VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis. - Jeppe Theiss Kristensen, Arturo Valdivia, Paolo Burelli:
Statistical Modelling of Level Difficulty in Puzzle Games. - Lukas Burkhalter, Hidde Lycklama, Alexander Viand, Nicolas Küchler, Anwar Hithnawi:
RoFL: Attestable Robustness for Secure Federated Learning. - Neil Zeghidour, Alejandro Luebs, Ahmed Omran, Jan Skoglund, Marco Tagliasacchi:
SoundStream: An End-to-End Neural Audio Codec. - Devin Guillory, Vaishaal Shankar, Sayna Ebrahimi, Trevor Darrell, Ludwig Schmidt:
Predicting with Confidence on Unseen Distributions. - Benoit Fuentes, Gaël Richard:
Probabilistic semi-nonnegative matrix factorization: a Skellam-based framework. - Aman Tyagi, Kathleen M. Carley:
Climate Change Conspiracy Theories on Social Media. - Timo Müller, Benjamin Lindemann, Tobias Jung, Nasser Jazdi, Michael Weyrich:
Enhancing an Intelligent Digital Twin with a Self-organized Reconfiguration Management based on Adaptive Process Models. - Saman Sarraf, Milton Kabia:
Design an IT Policy Implementation Plan. - Aram Davtyan, Sepehr Sameni, Llukman Cerkezi, Givi Meishvili, Adam Bielski, Paolo Favaro:
KaFiStO: A Kalman Filtering Framework for Stochastic Optimization. - Yanjie Li, Sen Yang, Shoukui Zhang, Zhicheng Wang, Wankou Yang, Shu-Tao Xia, Erjin Zhou:
Is 2D Heatmap Representation Even Necessary for Human Pose Estimation? - Benjamin Maschler, Sophia Tatiyosyan, Michael Weyrich:
Regularization-based Continual Learning for Fault Prediction in Lithium-Ion Batteries. - Helmut Harbrecht, Michael D. Multerer:
Samplets: A new paradigm for data compression. - Mehdi Jafari, Apurba Sakti, Audun Botterud:
Optimization of Electrolyte Rebalancing in Vanadium Redox Flow Batteries. - Ylenia Galluzzo, Raffaele Giancarlo, Mario Randazzo, Simona E. Rombo:
Burrows Wheeler Transform on a Large Scale: Algorithms Implemented in Apache Spark. - Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna M. Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiao Xiang Zhu:
A Survey of Uncertainty in Deep Neural Networks. - Daniele Serra, Daniele Mardero, Luca Di Stefano, Samuele Grillo:
Post-Metering Value-Added Services for Low Voltage Electricity Users: Lessons Learned From the Italian Experience of CHAIN 2. - Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
Optimal Edge Weight Perturbations to Attack Shortest Paths. - Chengzhi Jiang, Yanzhou Su, Wen Wang, Haiwei Bai, Haijun Liu, Jian Cheng:
IntraLoss: Further Margin via Gradient-Enhancing Term for Deep Face Recognition. - Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan:
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions. - Elias Frantar, Eldar Kurtic, Dan Alistarh:
Efficient Matrix-Free Approximations of Second-Order Information, with Applications to Pruning and Optimization. - Ben Burnett, Sigal Gottlieb, Zachary J. Grant, Alfa R. H. Heryudono:
Performance Evaluation of Mixed-Precision Runge-Kutta Methods. - Bingchen Zhao, Kai Han:
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation. - MohammadAmin Fazli, Seyed Moeen Nehzati, MohammadAmin Salarkia:
Building Stable Off-chain Payment Networks. - Bart Iver van Blokland, Theoharis Theoharis:
Partial 3D Object Retrieval using Local Binary QUICCI Descriptors and Dissimilarity Tree Indexing. - Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Pondé de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Joshua Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, Wojciech Zaremba:
Evaluating Large Language Models Trained on Code. - Nicolò Colombo, Yang Gao:
Differentiable Architecture Pruning for Transfer Learning. - Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto:
Long Short-Term Transformer for Online Action Detection. - Rutav M. Shah, Vikash Kumar:
RRL: Resnet as representation for Reinforcement Learning. - Iván Cantador, Andrés Carvallo, Fernando Díez:
Rating and aspect-based opinion graph embeddings for explainable recommendations. - Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke:
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems. - Gonzalo Nápoles, Yamisleydi Salgueiro, Isel Grau, Maikel León Espinosa:
Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification. - Sai Srivatsa Ravindranath, Zhe Feng, Shira Li, Jonathan Ma, Scott Duke Kominers, David C. Parkes:
Deep Learning for Two-Sided Matching. - Silvana Trindade, Luiz F. Bittencourt, Nelson L. S. da Fonseca:
Management of Resource at the Network Edge for Federated Learning. - Muhammed Ali Sit, Bong-Chul Seo, Ibrahim Demir:
IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and Quantitative Precipitation Estimation. - Matei Moldoveanu, Abdellatif Zaidi:
In-Network Learning: Distributed Training and Inference in Networks. - Trinh Van Chien, Hien Quoc Ngo, Symeon Chatzinotas, Björn E. Ottersten:
Reconfigurable Intelligent Surface-Assisted Massive MIMO: Favorable Propagation, Channel Hardening, and Rank Deficiency. - Yannis Panagakis, Jean Kossaifi, Grigorios G. Chrysos, James Oldfield, Mihalis A. Nicolaou, Anima Anandkumar, Stefanos Zafeiriou:
Tensor Methods in Computer Vision and Deep Learning. - Junha Roh, Karthik Desingh, Ali Farhadi, Dieter Fox:
LanguageRefer: Spatial-Language Model for 3D Visual Grounding. - Arthur K. Barnes, Adam Mate, Jose E. Tabarez:
The Risk of Hidden Failures to the United States Electrical Grid and Potential for Mitigation. - Lucas Fenaux, Maria Juliana Quintero:
BumbleBee: A Transformer for Music. - Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst:
Keep it Simple: Unsupervised Simplification of Multi-Paragraph Text. - Philippe Laban, Luke Dai, Lucas Bandarkar, Marti A. Hearst:
Can Transformer Models Measure Coherence In Text? Re-Thinking the Shuffle Test. - Marios Papachristou, Dimitris Fotakis:
Stochastic Opinion Dynamics for Interest Prediction in Social Networks. - Jean-Baptiste Camps, Chahan Vidal-Gorène, Marguerite Vernet:
Handling Heavily Abbreviated Manuscripts: HTR engines vs text normalisation approaches. - Emily Dinan, Gavin Abercrombie, A. Stevie Bergman, Shannon L. Spruit, Dirk Hovy, Y-Lan Boureau, Verena Rieser:
Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling. - Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia:
S3: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. - Tom Needham, Thomas Weighill:
Geometric averages of partitioned datasets. - Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz, Christian Mata, Miguel González-Mendoza, Luis Eduardo Falcón-Morales:
Comparing ML based Segmentation Models on Jet Fire Radiation Zone. - Seyed Mojtaba Marvasti-Zadeh, Javad Khaghani, Li Cheng, Hossein Ghanei-Yakhdan, Shohreh Kasaei:
CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture Search. - Panagiotis Antoniadis, Ioannis Pikoulis, Panagiotis Paraskevas Filntisis, Petros Maragos:
An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wild. - Maximilian Mozes, Isabelle van der Vegt, Bennett Kleinberg:
Worry, coping and resignation - A repeated-measures study on emotional responses after a year in the pandemic. - Jianwei Hao, Ting Jiang, Wei Wang, In Kee Kim:
An Empirical Analysis of VM Startup Times in Public IaaS Clouds: An Extended Report. - Adam P. Goucher, Rajan Troll:
Differentiable Random Access Memory using Lattices. - Ruolin Li, Philip N. Brown, Roberto Horowitz:
A Highway Toll Lane Framework that Unites Autonomous Vehicles and High-occupancy Vehicles. - Tosca Lechner, Shai Ben-David, Sushant Agarwal, Nivasini Ananthakrishnan:
Impossibility results for fair representations. - Xin Fan, Yan Huo:
An Overview of Low latency for Wireless Communications: an Evolutionary Perspective. - Davide Bilò, Sarel Cohen, Tobias Friedrich, Martin Schirneck:
Space-Efficient Fault-Tolerant Diameter Oracles. - Devansh Saxena, Karla A. Badillo-Urquiola, Pamela J. Wisniewski, Shion Guha:
A Framework of High-Stakes Algorithmic Decision-Making for the Public Sector Developed through a Case Study of Child-Welfare. - Jan Figgener, Benedikt Tepe, Fabian Rücker, Ilka Schoeneberger, Christopher Hecht, Andreas Jossen, Dirk Uwe Sauer:
The Influence of Frequency Containment Reserve Flexibilization on the Economics of Electric Vehicle Fleet Operation. - Panagiota Fatourou, Nikolaos D. Kallimanis, Eleftherios Kosmas:
Persistent Software Combining. - Yusuke Tashiro, Jiaming Song, Yang Song, Stefano Ermon:
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation. - Xi-Yuan Yin, Kai Schneider, Jean-Christophe Nave:
A Characteristic Mapping Method for the three-dimensional incompressible Euler equations. - Agnieszka Rychwalska, Szymon Talaga, Karolina Ziembowicz, Dariusz Jemielniak:
Communication networks and group effectiveness: the case of English Wikipedia. - Mohammad Mohammadi Amiri, Sanjeev R. Kulkarni, H. Vincent Poor:
Federated Learning with Downlink Device Selection. - Mohammad Sarvi, Masoud Safarishaal:
New Hybrid Maximum Power Point Tracking Methods for Fuel Cell using Artificial Intelligent. - Nitash C. G, Christoph Adami:
Information-theoretic characterization of the complete genotype-phenotype map of a complex pre-biotic world. - Bhashithe Abeysinghe, Dhara Shah, Christopher Freas, Robert W. Harrison, Rajshekhar Sunderraman:
POSLAN: Disentangling Chat with Positional and Language encoded Post Embeddings. - Marius-F. Danca:
Hopfield Neuronal Network of Fractional Order: A note on its numerical integration. - Umut Çetin, Julien Hok:
Speeding up the Euler scheme for killed diffusions. - Jacek Gondzio, Matti Lassas, Salla-Maaria Latva-Äijö, Samuli Siltanen, Filippo Zanetti:
Material-separating regularizer for multi-energy X-ray tomography. - Miloslav Capek, Kurt Schab:
Computational Aspects of Characteristic Mode Decomposition - An Overview. - Dmitry Bankov, Kirill Chemrov, Evgeny M. Khorov:
Tuning Channel Access to Enable Real-Time Applications in Wi-Fi 7. - Evgeny Avdotin, Dmitry Bankov, Evgeny M. Khorov, Andrey I. Lyakhov:
Resource Allocation Strategies for Real-Time Applications in Wi-Fi 7. - Andrea Pinceti, Lalitha Sankar, Oliver Kosut:
Synthetic Time-Series Load Data via Conditional Generative Adversarial Networks. - Andrea Pinceti, Lalitha Sankar, Oliver Kosut:
Generation of Synthetic Multi-Resolution Time Series Load Data. - Jeffrey Gu, Serena Yeung:
Staying in Shape: Learning Invariant Shape Representations using Contrastive Learning. - Byeongjoon Noh, Wonjun No, David Lee, Hwasoo Yeo:
Automated Object Behavioral Feature Extraction for Potential Risk Analysis based on Video Sensor. - Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu:
Unsupervised Proxy Selection for Session-based Recommender Systems. - Daniel S. Drew, Sean Follmer:
High Force Density Multi-Stage Electrohydrodynamic Jets Using Folded Laser Microfabricated Electrodes. - Rucha Kulkarni, Umang Mathur, Andreas Pavlogiannis:
Dynamic Data-Race Detection through the Fine-Grained Lens. - Feixiang Wang, Yixiang Fang, Yan Song, Shuang Li, Xinyun Chen:
A Note on General Statistics of Publicly Accessible Knowledge Bases. - Jiangxia Cao, Xixun Lin, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu, Bin Wang:
Deep Structural Point Process for Learning Temporal Interaction Networks. - Minghui Yang, Shiyuan Qiang, Xiaoyan Jing, Keqin Feng, Dongdai Lin:
On the 4-Adic Complexity of Quaternary Sequences with Ideal Autocorrelation. - Pengxiang Ding, Jianqin Yin:
Uncertainty-aware Human Motion Prediction. - Jian Jia, Houjing Huang, Xiaotang Chen, Kaiqi Huang:
Rethinking of Pedestrian Attribute Recognition: A Reliable Evaluation under Zero-Shot Pedestrian Identity Setting. - Khalid El-Awady:
Adaptive Stress Testing for Adversarial Learning in a Financial Environment. - Wei Li, Dezhao Luo, Bo Fang, Yu Zhou, Weiping Wang:
Video 3D Sampling for Self-supervised Representation Learning. - Kshitij Jindal, Anthony Wang, Dinesh Thakur, Alex Zhou, Vojtech Spurný, Viktor Walter, George Broughton, Tomás Krajník, Martin Saska, Giuseppe Loianno:
Design and Deployment of an Autonomous Unmanned Ground Vehicle for Urban Firefighting Scenarios. - Lantian Zhang, Yanlong Zhao, Lei Guo:
Identification and Adaptation with Binary-Valued Observations under Non-Persistent Excitation Condition. - Yonghao Dang, Jianqin Yin:
Relation-Based Associative Joint Location for Human Pose Estimation in Videos. - Zhitao Wang, Yuzheng Zhuang, Qiang Gu, Dong Chen, Hongbo Zhang, Wulong Liu:
Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles. - Shuang Deng, Qiulei Dong, Bo Liu:
SCSS-Net: Superpoint Constrained Semi-supervised Segmentation Network for 3D Indoor Scenes. - Noriaki Hashimoto, Yusuke Takagi, Hiroki Masuda, Hiroaki Miyoshi, Kei Kohno, Miharu Nagaishi, Kensaku Sato, Mai Takeuchi, Takuya Furuta, Keisuke Kawamoto, Kyohei Yamada, Mayuko Moritsubo, Kanako Inoue, Yasumasa Shimasaki, Yusuke Ogura, Teppei Imamoto, Tatsuzo Mishina, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi:
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning. - Dexun Li, Meghna Lowalekar, Pradeep Varakantham:
CLAIM: Curriculum Learning Policy for Influence Maximization in Unknown Social Networks. - Zhaorui Wang, Ling Liu, Shengli Zhang, Pengpeng Dong, Qing Yang, Taotao Wang:
PNC Enabled IIoT: A General Framework for Channel-Coded Asymmetric Physical-Layer Network Coding. - Shuji Oishi, Kenji Koide, Masashi Yokozuka, Atsuhiko Banno:
4D Attention: Comprehensive Framework for Spatio-Temporal Gaze Mapping. - Lingyun Wu, Zhiqiang Hu, Yuanfeng Ji, Ping Luo, Shaoting Zhang:
Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation. - Guangming Wang, Shuaiqi Ren, Hesheng Wang:
NccFlow: Unsupervised Learning of Optical Flow With Non-occlusion from Geometry. - David Eppstein, Daniel Frishberg, Martha C. Osegueda:
Angles of Arc-Polygons and Lombardi Drawings of Cacti. - Prabhat Kumar, Matthijs Langelaar:
Topological synthesis of fluidic pressure-actuated robust compliant mechanisms. - D. Townsend:
Validation and Inference of Agent Based Models. - Mei Wang, Jianwen Su, Zhihua Lin:
Predicting Disease Progress with Imprecise Lab Test Results. - Yves Bestgen:
Using CollGram to Compare Formulaic Language in Human and Neural Machine Translation. - Mitja Jancic, Jure Slak, Gregor Kosec:
GPU accelerated RBF-FD solution of Poisson's equation. - Hongkang Yang, Weinan E:
Generalization Error of GAN from the Discriminator's Perspective. - Yi Xiong, Ningyuan Chen, Xuefeng Gao, Xiang Zhou:
Sublinear Regret for Learning POMDPs. - Mitja Jancic, Viktor Cvrtila, Gregor Kosec:
Discretized boundary surface reconstruction. - Mitja Jancic, Jure Slak, Gregor Kosec:
p-refined RBF-FD solution of a Poisson problem. - Ningyuan Xu, Jiayan Zhuang, Yaojun Wu, Jiangjian Xiao:
A Dataset and Method for Hallux Valgus Angle Estimation Based on Deep Learing. - Guang Yang, Xiang Chen, Jinxin Cao, Shuyuan Xu, Zhanqi Cui, Chi Yu, Ke Liu:
ComFormer: Code Comment Generation via Transformer and Fusion Method-based Hybrid Code Representation. - Nikhil Pratap Ghanathe, Vivek Seshadri, Rahul Sharma, Steve Wilton, Aayan Kumar:
MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications. - Yushan Zhang, Peisen Yao, Rongxin Wu, Charles Zhang:
Duplicate-sensitivity Guided Transformation Synthesis for DBMS Correctness Bug Detection. - Chandra Chekuri, Vasilis Livanos:
On Submodular Prophet Inequalities and Correlation Gap. - Xiaoyu Mo, Yang Xing, Chen Lv:
Graph and Recurrent Neural Network-based Vehicle Trajectory Prediction For Highway Driving. - Zhaoyi Yan, Ruimao Zhang, Hongzhi Zhang, Qingfu Zhang, Wangmeng Zuo:
Crowd Counting via Perspective-Guided Fractional-Dilation Convolution. - Ruian He, Zhen Xing, Weimin Tan, Bo Yan:
Feature Pyramid Network for Multi-task Affective Analysis. - Lulu Zhang, Tao Luo, Yaoyu Zhang, Zhi-Qin John Xu, Zheng Ma:
MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs. - Huayun Zhang, Ke Shi, Nancy F. Chen:
Multilingual Speech Evaluation: Case Studies on English, Malay and Tamil. - Nicolò Botteghi, Luuk Grefte, Mannes Poel, Beril Sirmaçek, Christoph Brune, Edwin Dertien, Stefano Stramigioli:
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning. - Longyu Ma, Chiu-Wing Sham, Chun Yan Lo, Xinchao Zhong:
An Embedded Iris Recognition System Optimization using Dynamically ReconfigurableDecoder with LDPC Codes. - Sandra May, Florian Streitbürger:
DoD Stabilization for non-linear hyperbolic conservation laws on cut cell meshes in one dimension. - Michael A. Hedderich, Benjamin Roth, Katharina Kann, Barbara Plank, Alex Ratner, Dietrich Klakow:
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL). - Lukas Lamm, Hagen Holthusen, Tim Brepols, Stefan Jockenhövel, Stefanie Reese:
A macroscopic approach for stress driven anisotropic growth in bioengineered soft tissues. - Ayushe Gangal, Peeyush Kumar, Sunita Kumari:
Complete Scanning Application Using OpenCv. - Mohamad Wehbi, Tim Hamann, Jens Barth, Bjoern M. Eskofier:
Digitizing Handwriting with a Sensor Pen: A Writer-Independent Recognizer. - Wei Zhang, Zunhu Guo, Keyu Chen, Lincheng Li, Zhimeng Zhang, Yu Ding:
Prior Aided Streaming Network for Multi-task Affective Recognitionat the 2nd ABAW2 Competition. - Jakub Gajarský, Michal Pilipczuk, Szymon Torunczyk:
Stable graphs of bounded twin-width. - Franco Dassi, Joscha Gedicke, Lorenzo Mascotto:
Adaptive virtual elements based on hybridized, reliable, and efficient flux reconstructions. - Thomas Elsken, Benedikt Staffler, Arber Zela, Jan Hendrik Metzen, Frank Hutter:
Bag of Tricks for Neural Architecture Search. - Michael Veale, Frederik J. Zuiderveen Borgesius:
Demystifying the Draft EU Artificial Intelligence Act. - Josep Marti-Saumell, Joan Solà, Angel Santamaria-Navarro, Juan Andrade-Cetto:
Full-Body Torque-Level Non-linear Model Predictive Control for Aerial Manipulation. - Lukas Burkhalter, Nicolas Küchler, Alexander Viand, Hossein Shafagh, Anwar Hithnawi:
Zeph: Cryptographic Enforcement of End-to-End Data Privacy. - Debasish Kundu:
The Three Ensemble Clustering (3EC) Algorithm for Pattern Discovery in Unsupervised Learning. - Bahrudin Hrnjica:
Daany - DAta ANalYtics on .NET. - Arsen Kuzhamuratov, Dmitry Igorevich Sorokin, Alexander E. Ulanov, A. I. Lvovsky:
Adaptation of Quadruped Robot Locomotion with Meta-Learning. - Nikolay Jetchev, Gökhan Yildirim, Christian Bracher, Roland Vollgraf:
Grid Partitioned Attention: Efficient TransformerApproximation with Inductive Bias for High Resolution Detail Generation. - Adèle Gouttes, Kashif Rasul, Mateusz Koren, Johannes Stephan, Tofigh Naghibi:
Probabilistic Time Series Forecasting with Implicit Quantile Networks. - Vittorio Lippi, Cristian Camardella, Alessandro Filippeschi, Francesco Porcini:
Identification of Gait Phases with Neural Networks for Smooth Transparent Control of a Lower Limb Exoskeleton. - Luis Lucas, David Tomás, José García Rodríguez:
Exploiting the relationship between visual and textual features in social networks for image classification with zero-shot deep learning. - Shahin Gelareh:
A note on 'Variable Neighborhood Search Based Algorithms for Crossdock Truck Assignment'. - (Withdrawn) Investigate the Essence of Long-Tailed Recognition from a Unified Perspective.
- Luong Ha Nguyen, James-A. Goulet:
Analytically Tractable Hidden-States Inference in Bayesian Neural Networks. - Vivek Srivastava, Mayank Singh:
HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Text. - Akhila Sri Manasa Venigalla, Kowndinya Boyalakunta, Sridhar Chimalakonda:
GitQ- Towards Using Badges as Visual Cues for GitHub Projects. - Subhash Lakshminarayana, Saurav Sthapit, Carsten Maple:
A Comparison of Data-Driven Techniques for Power Grid Parameter Estimation. - Jennifer Chakravarty, Oliver Johnson, Robert J. Piechocki:
Bounds on Eavesdropper Performance for a MIMO-NOMA Downlink Scheme. - Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King:
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. - Martin Knoche, Stefan Hörmann, Gerhard Rigoll:
Image Resolution Susceptibility of Face Recognition Models. - Martina Lofqvist, José Cano:
Optimizing Data Processing in Space for Object Detection in Satellite Imagery. - (Withdrawn) Choiceless Polynomial Time, Symmetric Circuits and Cai-Fürer-Immerman Graphs.
- Sérgio Pereira, David Cerdeira, Cristiano Rodrigues, Sandro Pinto:
Towards a Trusted Execution Environment via Reconfigurable FPGA. - Berkay Köprü, Engin Erzin:
Use of Affective Visual Information for Summarization of Human-Centric Videos. - Xingtai Gui, Jiyang Zhang:
Deep Metric Learning Model for Imbalanced Fault Diagnosis. - Joel R. Peck, David Waxman:
How to measure things. - Hélène Langlois, Frédéric Meunier, Romeo Rizzi, Stéphane Vialette:
Algorithmic aspects of quasi-kernels. - Miroslav Chodil, Antonín Kucera:
The Satisfiability Problem for a Quantitative Fragment of PCTL. - Marilena Leichter, Benjamin Moseley, Kirk Pruhs:
An Efficient Reduction of a Gammoid to a Partition Matroid. - Yueming Wu, Shihan Dou, Deqing Zou, Wei Yang, Weizhong Qiang, Hai Jin:
Obfuscation-resilient Android Malware Analysis Based on Contrastive Learning. - Ágnes Cseh, Tobias Friedrich, Jannik Peters:
Pareto optimal and popular house allocation with lower and upper quotas. - Daniel Park, Haidar Khan, Azer Khan, Alex Gittens, Bülent Yener:
Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models. - Mateusz Klimaszewski, Alina Wróblewska:
COMBO: a new module for EUD parsing. - M. I. Belishev, N. A. Karazeeva:
Toeplitz matrices in the Boundary Control method. - Gobinda Garai:
Convergence of the Neumann-Neumann Method for the Cahn-Hilliard Equation. - Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long:
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. - Yikang Zhang, Zhuo Chen, Zhao Zhong:
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs. - Allard Oelen, Markus Stocker, Sören Auer:
SmartReviews: Towards Human- and Machine-actionable Reviews. - Jakub Tetek, Mikkel Thorup:
Sampling and Counting Edges via Vertex Accesses. - Alexander Schäfer, Gerd Reis, Didier Stricker:
Investigating the Sense of Presence Between Handcrafted and Panorama Based Virtual Environments. - Nian Liu, Long Li, Wangbo Zhao, Junwei Han, Ling Shao:
Instance-Level Relative Saliency Ranking with Graph Reasoning. - Argyrios S. Vartholomaios, Stamatis Karlos, Eleftherios Kouloumpris, Grigorios Tsoumakas:
Short-term Renewable Energy Forecasting in Greece using Prophet Decomposition and Tree-based Ensembles. - Eduard Marin, Diego Perino, Roberto Di Pietro:
Serverless Computing: A Security Perspective. - Alexander Schäfer, Gerd Reis, Didier Stricker:
Towards Collaborative Photorealistic VR Meeting Rooms. - Dung Phuong Trinh, Youngmin Jeong, Sang-Hyo Kim:
Molecular Communication with Passive Receivers in Anomalous Diffusion Channels. - Firoj Alam, Md. Arid Hasan, Tanvirul Alam, Akib Khan, Jannatul Tajrin, Naira Khan, Shammur Absar Chowdhury:
A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models. - Bo Yu, Ning Dong, Qiong Tang:
Existence of The Solution to The Quadratic Bilinear Equation Arising from A Class of Quadratic Dynamical Systems. - Riccardo Polvara, Francesco Del Duchetto, Gerhard Neumann, Marc Hanheide:
Navigate-and-Seek: a Robotics Framework for People Localization in Agricultural Environments. - Andrew Jaegle, Yury Sulsky, Arun Ahuja, Jake Bruce, Rob Fergus, Greg Wayne:
Imitation by Predicting Observations. - Shashidhar Veerappa Kudari, Akshaykumar Gunari, Adarsh Jamadandi, Ramesh Ashok Tabib, Uma Mudenagudi:
Augmented Data as an Auxiliary Plug-in Towards Categorization of Crowdsourced Heritage Data. - Valentina Janev:
Semantic Intelligence in Big Data Applications. - Alexandra Peste, Dan Alistarh, Christoph H. Lampert:
SSSE: Efficiently Erasing Samples from Trained Machine Learning Models. - Shinwoo An, Eunjin Oh:
Feedback Vertex Set on Geometric Intersection Graphs. - Ahmad Kamal Bin Mohd Nor, Srinivasa Rao Pedapati, Masdi Muhammad:
Explainable AI (XAI) for PHM of Industrial Asset: A State-of-The-Art, PRISMA-Compliant Systematic Review. - Artem Polyvyanyy, Alistair Moffat, Luciano García-Bañuelos:
Bootstrapping Generalization of Process Models Discovered From Event Data. - Dimuthu Wannipurage, Isuru Ranawaka, Eroma Abeysinghe, Marcus Christie, Suresh Marru, Marlon E. Pierce:
A Multi-Protocol, Secure, and Dynamic Data Storage Integration Frameworkfor Multi-tenanted Science Gateway Middleware. - Aadesh Gupta, Kaustubh D. Dhole, Rahul Tarway, Swetha Prabhakar, Ashish Shrivastava:
CANDLE: Decomposing Conditional and Conjunctive Queries for Task-Oriented Dialogue Systems. - Boaz Menuhin, Moni Naor:
Keep That Card in Mind: Card Guessing with Limited Memory. - Geesung Oh, Euiseok Jeong, Sejoon Lim:
Causal affect prediction model using a facial image sequence. - Alexander Vakhitov, Luis Ferraz Colomina, Antonio Agudo, Francesc Moreno-Noguer:
Uncertainty-Aware Camera Pose Estimation from Points and Lines. - Hong-Xia Xie, I-Hsuan Li, Ling Lo, Hong-Han Shuai, Wen-Huang Cheng:
Technical Report for Valence-Arousal Estimation in ABAW2 Challenge. - Nalini Palaniswamy:
Social Media Marketing (SMM) A Strategic Tool for Developing Business for Tourism Companies. - Adam Zielinski:
AI and the future of pharmaceutical research. - Vedran Mrzljak, Nikola Andelic, Ivan Lorencin, Sandi Baressi Segota:
The influence of various optimization algorithms on nuclear power plant steam turbine exergy efficiency and destruction. - Paul W. Goldberg, Matthew J. Katzman:
Lower Bounds for the Query Complexity of Equilibria in Lipschitz Games. - Shaoshuai Li, Yichao Zhu, Xu Guo:
Optimisation of spatially varying orthotropic porous structures based on conformal mapping. - Hari Bandi, Dimitris Bertsimas:
The Price of Diversity. - Alexander Ivanov, Gleb V. Nosovskiy, Alexey Chekunov, Denis Fedoseev, Vladislav Kibkalo, Mikhail Nikulin, Fedor Popelenskiy, Stepan Komkov, Ivan Mazurenko, Aleksandr Petiushko:
Manifold Hypothesis in Data Analysis: Double Geometrically-Probabilistic Approach to Manifold Dimension Estimation. - Markus Bause, Maria Lymbery, Kevin Osthues:
C1-conforming variational discretization of the biharmonic wave equation. - Jason R. C. Nurse, Nikki Williams, Emily Collins, Niki Panteli, John M. Blythe, Ben Koppelman:
Remote Working Pre- and Post-COVID-19: An Analysis of New Threats and Risks to Security and Privacy. - Robin Dupont, Hichem Sahbi, Guillaume Michel:
Weight Reparametrization for Budget-Aware Network Pruning. - Olga Fink, Torbjørn H. Netland, Stefan Feuerriegel:
Artificial intelligence across company borders. - Pavel Blinov, Vladimir Kokh:
Patient Embeddings in Healthcare and Insurance Applications. - Dimitrios Los, Thomas Sauerwald:
Balanced Allocations with Incomplete Information: The Power of Two Queries. - Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm:
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning. - Mahmoud M. Nasr, Md. Milon Islam, Shady Shehata, Fakhri Karray, Yuri Quintana:
Smart Healthcare in the Age of AI: Recent Advances, Challenges, and Future Prospects. - Francesco Pirotti, Alberto Guarnieri, Marco Piragnolo, Marco Boscaro, Raffaele Cavalli:
Analysis of geospatial behaviour of visitors of urban gardens: is positioning via smartphones a valid solution? - Kun He, Xiaoming Sun, Kewen Wu:
Perfect Sampling for (Atomic) Lovász Local Lemma. - Yao Peng, Meirong He, Yu Wang:
A Federated Semi-Supervised Learning Approach for Network Traffic Classification. - Zaiqiao Meng, Siwei Liu, Craig Macdonald, Iadh Ounis:
Graph Neural Pre-training for Enhancing Recommendations using Side Information. - Wil M. P. van der Aalst, Luis F. R. Santos:
May I Take Your Order? On the Interplay Between Time and Order in Process Mining. - Igor Sfiligoi, Frank Würthwein, Thomas A. DeFanti, John Graham:
HTCondor data movement at 100 Gbps. - Patrick Godau, Lena Maier-Hein:
Task Fingerprinting for Meta Learning in Biomedical Image Analysis. - Yu-Ying Chuang, Mihi Kang, Xuefeng Luo, R. Harald Baayen:
Vector Space Morphology with Linear Discriminative Learning. - Samrat Acharya, Robert Mieth, Charalambos Konstantinou, Ramesh Karri, Yury Dvorkin:
Cyber Insurance Against Cyberattacks on Electric Vehicle Charging Stations. - Felix Biggs, Benjamin Guedj:
On Margins and Derandomisation in PAC-Bayes. - Awanish Kumar Tiwari, Ambuj Pandey, Jagabandhu Paul, Akash Anand:
Fast accurate approximation of convolutions with weakly singular kernel and its applications. - Rahime Belen Saglam, Jason R. C. Nurse, Duncan Hodges:
Privacy Concerns in Chatbot Interactions: When to Trust and When to Worry. - Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma:
Computational Benefits of Intermediate Rewards for Hierarchical Planning. - Igor Sfiligoi, Shava Smallen, Frank Würthwein, Nicole Wolter, David Schultz, Benedikt Riedel:
Expanding IceCube GPU computing into the Clouds. - Sibendu Paul, Kunal Rao, Giuseppe Coviello, Murugan Sankaradass, Oliver Po, Y. Charlie Hu, Srimat T. Chakradhar:
CamTuner: Reinforcement-Learning based System for Camera Parameter Tuning to enhance Analytics. - Silvio F. B. Pinto, Rodrigo C. de Lamare:
Study of Block Diagonalization Precoding and Power Allocation for Multiple-Antenna Systems with Coarsely Quantized Signals. - Parag Narkhede, Shashi Poddar, Rahee Walambe, George Ghinea, Ketan Kotecha:
Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation. - Vitchyr H. Pong, Ashvin Nair, Laura M. Smith, Catherine Huang, Sergey Levine:
Offline Meta-Reinforcement Learning with Online Self-Supervision. - Subhranil Bagchi, Deepti R. Bathula:
EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli Classification. - Rupak Majumdar, Madhavan Mukund, Felix Stutz, Damien Zufferey:
Generalising Projection in Asynchronous Multiparty Session Types. - Matthieu Gouel, Kevin Vermeulen, Olivier Fourmaux, Timur Friedman, Robert Beverly:
Longitudinal Study of an IP Geolocation Database. - Philipp Plank, Arjun Rao, Andreas Wild, Wolfgang Maass:
A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware. - Ruihan Yang, Minghao Zhang, Nicklas Hansen, Huazhe Xu, Xiaolong Wang:
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers. - Giacomo Bergami, Fabrizio Maria Maggi, Marco Montali, Rafael Peñaloza:
Probabilistic Trace Alignment. - Siddharth Ancha, Gaurav Pathak, Srinivasa G. Narasimhan, David Held:
Active Safety Envelopes using Light Curtains with Probabilistic Guarantees. - Justin W. Hart, Reuth Mirsky, Xuesu Xiao, Peter Stone:
Incorporating Gaze into Social Navigation. - Sheyda Shams, Farzad Mohajeri, Masoud Movahhedi:
Time-Domain Analysis of Left-Handed Materials Based on a Dispersive Meshless Method with PML Absorbing Boundary Condition. - Robert M. Yawson, Daniel Woldeab, Emmanuel Osafo:
Human Resource Development and the Internet of Things. - Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba:
3D Neural Scene Representations for Visuomotor Control. - Melissa Roemmele:
Inspiration through Observation: Demonstrating the Influence of Automatically Generated Text on Creative Writing. - Muhammad Asam, Saddam Hussain Khan, Tauseef Jamal, Umme Zahoora, Asifullah Khan:
Malware Classification Using Deep Boosted Learning. - Byungsoo Kim, Hangyeol Yu, Dongmin Shin, Youngduck Choi:
Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction. - Alise Danielle Midtfjord, Riccardo De Bin, Arne Bang Huseby:
A Machine Learning Approach to Safer Airplane Landings: Predicting Runway Conditions using Weather and Flight Data. - Jawad Ahmad Haqbeen, Takayuki Ito, Sofia Sahab, Rafik Hadfi, Takumi Sato, Shun Okuhara:
Meeting the SDGs : Enabling the Goals by Cooperation with Crowd using a Conversational AI Platform. - Jinhyung Park, Xinshuo Weng, Yunze Man, Kris Kitani:
Multi-Modality Task Cascade for 3D Object Detection. - Pamela Fleischmann, Mitja Kulczynski, Dirk Nowotka:
The Show Must Go On - Examination During a Pandemic. - Milos Nikolic, Dusan Teodorovic:
User equilibrium traffic assignment: k paths subtracting-adding algorithm. - Xuejing Lei, Ganning Zhao, Kaitai Zhang, C.-C. Jay Kuo:
TGHop: An Explainable, Efficient and Lightweight Method for Texture Generation. - Rajitha Ramanayake, Philipp Wicke, Vivek Nallur:
Immune Moral Models? Pro-Social Rule Breaking as a Moral Enhancement Approach for Ethical AI. - Filip Biljecki, Lawrence Zheng Xiong Chew, Nikola Milojevic-Dupont, Felix Creutzig:
Open government geospatial data on buildings for planning sustainable and resilient cities. - Patrick O. Glauner:
Staying Ahead in the MOOC-Era by Teaching Innovative AI Courses. - Olivier Finkel, Michal Skrzypczak:
On the expressive power of non-deterministic and unambiguous Petri nets over infinite words. - Attiq Ur Rehman, Asad Waqar Malik, Anis Ur Rahman, Sohail Iqbal, Ghalib Ahmed Tahir:
CVEH: A Dynamic Framework To Profile Vehicle Movements To Mitigate Hit And Run Cases Using Crowdsourcing. - Étienne Scholly, Pegdwendé N. Sawadogo, Pengfei Liu, Javier-Alfonso Espinosa-Oviedo, Cécile Favre, Sabine Loudcher, Jérôme Darmont, Camille Noûs:
goldMEDAL : une nouvelle contribution {à} la mod{é}lisation g{é}n{é}rique des m{é}tadonn{é}es des lacs de donn{é}es. - Florian Wirthmüller, Jochen Hipp, Christian Reichenbächer, Manfred Reichert:
The Atlas of Lane Changes: Investigating Location-dependent Lane Change Behaviors Using Measurement Data from a Customer Fleet. - Marcel Seelbach Benkner, Vladislav Golyanik, Christian Theobalt, Michael Moeller:
Adiabatic Quantum Graph Matching with Permutation Matrix Constraints. - Ashish Kumar, Zipeng Fu, Deepak Pathak, Jitendra Malik:
RMA: Rapid Motor Adaptation for Legged Robots. - Shakeel Ahmad Sheikh, Md. Sahidullah, Fabrice Hirsch, Slim Ouni:
Machine Learning for Stuttering Identification: Review, Challenges & Future Directions. - Barbara Kaltenbacher, William Rundell:
Determining the nonlinearity in an acoustic wave equation. - James H. Adler, Yunhui He, Xiaozhe Hu, Scott P. MacLachlan, Peter Ohm:
Monolithic multigrid for a reduced-quadrature discretization of poroelasticity. - Misha Padidar, Xinran Zhu, Leo Huang, Jacob R. Gardner, David Bindel:
Scaling Gaussian Processes with Derivative Information Using Variational Inference. - Matheus V. X. Ferreira, S. Matthew Weinberg:
Proof-of-Stake Mining Games with Perfect Randomness. - Justin F. Brunelle, Ryan Farley, Grant C. Atkins, Trevor Bostic, Marites Hendrix, Zak Zebrowski:
Introducing A Dark Web Archival Framework. - Erich Schubert:
A Triangle Inequality for Cosine Similarity. - Erich Schubert, Andreas Lang, Gloria Feher:
Accelerating Spherical k-Means. - Alexander V. Outkin, Patricia V. Schulz, Timothy Schulz, Thomas D. Tarman, Ali Pinar:
Defender Policy Evaluation and Resource Allocation Using MITRE ATT&CK Evaluations Data. - Alaa Z. Abdulghafoor, Efstathios Bakolas:
Distributed Coverage Control of Multi-Agent Networks with Guaranteed Collision Avoidance in Cluttered Environments. - Benjamin Bordais, Patricia Bouyer, Stéphane Le Roux:
From local to global determinacy in concurrent graph games. - Andros Tjandra, Diptanu Gon Choudhury, Frank Zhang, Kritika Singh, Alexei Baevski, Assaf Sela, Yatharth Saraf, Michael Auli:
Improved Language Identification Through Cross-Lingual Self-Supervised Learning. - Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang:
Robust Counterfactual Explanations on Graph Neural Networks. - Grzegorz Dudek, Pawel Pelka:
Ensembles of Randomized NNs for Pattern-based Time Series Forecasting. - Dennis Bautembach, Iason Oikonomidis, Antonis A. Argyros:
Even Faster SNN Simulation with Lazy+Event-driven Plasticity and Shared Atomics. - Joseph Breeden, Dimitra Panagou:
Robust Control Barrier Functions under High Relative Degree and Input Constraints for Satellite Trajectories. - Adam Kurpisz, Aaron Potechin, Elias Samuel Wirth:
SoS certification for symmetric quadratic functions and its connection to constrained Boolean hypercube optimization. - Zhirui Liang, Robert Mieth, Yury Dvorkin:
Inertia Pricing in Stochastic Electricity Markets. - Gennaro Auricchio, Luca Ferrarini, Greta Lanzarotto:
An Integer Linear Programming Model for Tilings. - Evangelos Pournaras, Atif Nabi Ghulam, Renato Kunz, Regula Hänggli:
Crowd Sensing and Living Lab Outdoor Experimentation Made Easy. - Robert Cimrman:
Fast Evaluation of Finite Element Weak Forms Using Python Tensor Contraction Packages. - Indre Jödicke, Richard J. Leute, Till Junge, Lars Pastewka:
Efficient topology optimization using compatibility projection in micromechanical homogenization. - (Withdrawn) PAC: Partial Area Cluster for adjusting the distribution of transportation platforms in modern cities.
- Fariba Afrin Irany, Arnav Iyer, Rubenia Borge Flores, Armin R. Mikler:
The Multi-phase spatial meta-heuristic algorithm for public health emergency transportation. - Manh-Tu Vu, Marie Beurton-Aimar:
Multitask Multi-database Emotion Recognition. - Muneeb Ahmed Khan, Muazzam Ali Khan, Maha Driss, Wadii Boulila, Jawad Ahmad:
Evolution of Target Localization in Wireless Sensor Network (WSN): A Review. - Bo Liu, Chaowei Tan, Jiazhou Wang, Tao Zeng, Huasong Shan, Houpu Yao, Heng Huang, Peng Dai, Liefeng Bo, Yanqing Chen:
Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform. - Peter A. Jansen:
A Systematic Survey of Text Worlds as Embodied Natural Language Environments. - Muhammad Ali Farooq, Ammar Ali Khan, Ansar Ahmad, Rana Hammad Raza:
Effectiveness of State-of-the-Art Super Resolution Algorithms in Surveillance Environment. - Congyu Wu, Megan McMahon, Hagen Fritz, David M. Schnyer:
Circadian Rhythms are Not Captured Equal: Exploring Circadian Metrics Extracted by Different Computational Methods from Smartphone Accelerometer and GPS Sensors in Daily Life Tracking. - Congyu Wu, Hagen Fritz, R. Cameron Craddock, Kerry A. Kinney, Darla M. Castelli, David M. Schnyer:
Exploring Post COVID-19 Outbreak Intradaily Mobility Pattern Change in College Students: a GPS-focused Smartphone Sensing Study. - Sirui Li, Zhongxia Yan, Cathy Wu:
Learning to Delegate for Large-scale Vehicle Routing. - Michael J. Anderson, Benny Chen, Stephen Chen, Summer Deng, Jordan Fix, Michael Gschwind, Aravind Kalaiah, Changkyu Kim, Jaewon Lee, Jason Liang, Haixin Liu, Yinghai Lu, Jack Montgomery, Arun Moorthy, Nadathur Satish, Sam Naghshineh, Avinash Nayak, Jongsoo Park, Chris Petersen, Martin Schatz, Narayanan Sundaram, Bangsheng Tang, Peter Tang, Amy Yang, Jiecao Yu, Hector Yuen, Ying Zhang, Aravind Anbudurai, Vandana Balan, Harsha Bojja, Joe Boyd, Matthew Breitbach, Claudio Caldato, Anna Calvo, Garret Catron, Sneh Chandwani, Panos Christeas, Brad Cottel, Brian Coutinho, Arun Dalli, Abhishek Dhanotia, Oniel Duncan, Roman Dzhabarov, Simon Elmir, Chunli Fu, Wenyin Fu, Michael Fulthorp, Adi Gangidi, Nick Gibson, Sean Gordon, Beatriz Padilla Hernandez, Daniel Ho, Yu-Cheng Huang, Olof Johansson, Shishir Juluri, et al.:
First-Generation Inference Accelerator Deployment at Facebook. - Haiwen Wu, Bayu Jayawardhana, Héctor García de Marina, Dabo Xu:
Distributed formation control for manipulator end-effectors. - Saad Abbasi, Mohammad Javad Shafiee, Ellick Chan, Alexander Wong:
Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration. - Joao V. C. Evangelista, Zeeshan Sattar, Georges Kaddoum, Bassant Selim, Aydin Sarraf:
Intelligent Link Adaptation for Grant-Free Access Cellular Networks: A Distributed Deep Reinforcement Learning Approach. - Tomas Geffner, Justin Domke:
MCMC Variational Inference via Uncorrected Hamiltonian Annealing. - Han He, Jinho D. Choi:
Levi Graph AMR Parser using Heterogeneous Attention. - Yang Li, Siyuan Shan, Qin Liu, Junier B. Oliva:
Towards Robust Active Feature Acquisition. - Kesav Viswanadha, Edward Kim, Francis Indaheng, Daniel J. Fremont, Sanjit A. Seshia:
Parallel and Multi-Objective Falsification with Scenic and VerifAI. - Eamon Duede, Misha Teplitskiy, Karim R. Lakhani, James Evans:
Being Together in Place as a Catalyst for Scientific Advance. - Ziteng Huang, Weijun Fang, Fang-Wei Fu:
On pure MDS asymmetric entanglement-assisted quantum error-correcting codes. - Brendan Juba, Hai S. Le, Roni Stern:
Safe Learning of Lifted Action Models. - Qingkai Lu, Liangjun Zhang:
Excavation Learning for Rigid Objects in Clutter. - Isuru Ranawaka, Samitha Liyanage, Dannon Baker, Alexandru Mahmoud, Juleen Graham, Terry Fleury, Dimuthu Wannipurage, Yu Ma, Enis Afgan, Jim Basney, Suresh Marru, Marlon E. Pierce:
Experiences with Integrating Custos SecurityServices. - Jacob Donley, Vladimir Tourbabin, Jung-Suk Lee, Mark Broyles, Hao Jiang, Jie Shen, Maja Pantic, Vamsi Krishna Ithapu, Ravish Mehra:
EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments. - Tao Lu:
A Survey on RISC-V Security: Hardware and Architecture. - Mohamad Qadri, George Kantor:
Semantic Feature Matching for Robust Mapping in Agriculture. - Yang Liu, Anthony C. Constantinou:
Greedy structure learning from data that contains systematic missing values. - Yue Jin, Tianqing Zheng, Chao Gao, Guoqiang Xu:
A Multi-modal and Multi-task Learning Method for Action Unit and Expression Recognition. - Peng Wu, Tales Imbiriba, Junha Park, Sunwoo Kim, Pau Closas:
Personalized Federated Learning over non-IID Data for Indoor Localization. - Kongtao Chen, Ken Franko, Ruoxin Sang:
Structured Model Pruning of Convolutional Networks on Tensor Processing Units. - Phan Tran Dac Thinh, Hoang Manh Hung, Hyung-Jeong Yang, Soo-Hyung Kim, Guee-Sang Lee:
Emotion Recognition with Incomplete Labels Using Modified Multi-task Learning Technique. - Weiming Zhi, Lionel Ott, Fabio Ramos:
Probabilistic Trajectory Prediction with Structural Constraints. - John Chen, Cameron R. Wolfe, Anastasios Kyrillidis:
REX: Revisiting Budgeted Training with an Improved Schedule. - Hao Sun, Ziping Xu, Meng Fang, Zhenghao Peng, Jiadong Guo, Bo Dai, Bolei Zhou:
Safe Exploration by Solving Early Terminated MDP. - Ilan Shomorony, Govinda M. Kamath:
Sketching and Sequence Alignment: A Rate-Distortion Perspective. - Alexander Soen, Ke Sun:
On the Variance of the Fisher Information for Deep Learning. - Pedro Enrique Iturria-Rivera, Melike Erol-Kantarci:
QoS-Aware Load Balancing in Wireless Networks using Clipped Double Q-Learning. - Ian D. Kivlichan, Zi Lin, Jeremiah Z. Liu, Lucy Vasserman:
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation. - Zeyu Zhang, Thuy Vu, Alessandro Moschitti:
Joint Models for Answer Verification in Question Answering Systems. - Linfang Wang, Sean Chen, Jonathan Nguyen, Dariush Divsalar, Richard D. Wesel:
Neural-Network-Optimized Degree-Specific Weights for LDPC MinSum Decoding. - Shi Feng, Wei Chen:
Causal Inference for Influence Propagation - Identifiability of the Independent Cascade Model. - Lingfeng Wang, Shisen Wang:
A Multi-task Mean Teacher for Semi-supervised Facial Affective Behavior Analysis. - Fu-Shun Hsu, Shang-Ran Huang, Chien-Wen Huang, Chun-Chieh Chen, Yuan-Ren Cheng, Feipei Lai:
Multi-path Convolutional Neural Networks Efficiently Improve Feature Extraction in Continuous Adventitious Lung Sound Detection. - Mei Liu, Liangming Chen, Xiaohao Du, Long Jin, Mingsheng Shang:
Activated Gradients for Deep Neural Networks. - Fu-Shun Hsu, Shang-Ran Huang, Chang-Fu Su, Chien-Wen Huang, Yuan-Ren Cheng, Chun-Chieh Chen, Chun-Yu Wu, Chung-Wei Chen, Yen-Chun Lai, Tang-Wei Cheng, Nian-Jhen Lin, Wan-Lin Tsai, Ching-Shiang Lu, Chuan Chen, Feipei Lai:
Improved Breath Phase and Continuous Adventitious Sound Detection in Lung and Tracheal Sound Using Mixed Set Training and Domain Adaptation. - Vinod K. Kurmi, Venkatesh K. Subramanian, Vinay P. Namboodiri:
Exploring Dropout Discriminator for Domain Adaptation. - Kunihiro Noda, Haruki Yokoyama, Shinji Kikuchi:
Sirius: Static Program Repair with Dependence Graph-Based Systematic Edit Patterns. - Z. Fahimi, Mohammad Reza Mahmoodi, Michael Klachko, Hussein Nili, H. Kim, Dmitri B. Strukov:
Mitigating Imperfections in Mixed-Signal Neuromorphic Circuits. - Michel Fliess, Cédric Join, Dominique Sauter:
Defense against DoS and load altering attacks via model-free control: A proposal for a new cybersecurity setting. - Rui Wang, Xu Tan, Renqian Luo, Tao Qin, Tie-Yan Liu:
A Survey on Low-Resource Neural Machine Translation. - Yuan Xue, Yuan-Chen Guo, Han Zhang, Tao Xu, Song-Hai Zhang, Xiaolei Huang:
Deep Image Synthesis from Intuitive User Input: A Review and Perspectives. - Jenna Reher, Aaron D. Ames:
Control Lyapunov Functions for Compliant Hybrid Zero Dynamic Walking. - Xinheng Liu, Yao Chen, Cong Hao, Ashutosh Dhar, Deming Chen:
WinoCNN: Kernel Sharing Winograd Systolic Array for Efficient Convolutional Neural Network Acceleration on FPGAs. - Yang Li, Michael Purcell, Thierry Rakotoarivelo, David B. Smith, Thilina Ranbaduge, Kee Siong Ng:
Private Graph Data Release: A Survey. - Neenu Varghese, Roopak Sinha:
Can Commercial Testing Automation Tools Work for IoT? A Case Study of Selenium and Node-Red. - Sanket Kanjalkar, Ye Zhang, Shreyas Gandlur, Andrew Miller:
Publicly Auditable MPC-as-a-Service with succinct verification and universal setup. - Matthew Broussard, Bala Krishnamoorthy:
A Tight Max-Flow Min-Cut Duality Theorem for Non-Linear Multicommodity Flows. - Daniel Helgesson, Daniel Appelquist, Per Runeson:
A Grounded Theory of Cognitive Load Drivers in Novice Agile Software Development Teams. - Zhaorui Wang, Liang Liu, Shuowen Zhang, Shuguang Robert Cui:
Massive MIMO Communication with Intelligent Reflecting Surface. - Steve Borkman, Adam Crespi, Saurav Dhakad, Sujoy Ganguly, Jonathan Hogins, You-Cyuan Jhang, Mohsen Kamalzadeh, Bowen Li, Steven Leal, Pete Parisi, Cesar Romero, Wesley Smith, Alex Thaman, Samuel Warren, Nupur Yadav:
Unity Perception: Generate Synthetic Data for Computer Vision. - Jin Li, Wanyun Li, Zichen Xu, Yuhao Wang, Qiegen Liu:
Wavelet Transform-assisted Adaptive Generative Modeling for Colorization. - Laura Alexandra Daza, Juan C. Pérez, Pablo Arbeláez:
Towards Robust General Medical Image Segmentation. - Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Kritika Prakash, Andrew Trask, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert, Georgios Kaissis:
Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation. - Georg Jäger, Daniel Reisinger:
Can We Replicate Real Human Behaviour Using Artificial Neural Networks? - Xinying Qiu, Yuan Chen, Hanwu Chen, Jian-Yun Nie, Yuming Shen, Dawei Lu:
Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment. - Martin Redmann, Igor Pontes Duff:
Model order reduction for bilinear systems with non-zero initial states - different approaches with error bounds. - Di Wu, Rehmat Ullah, Paul Harvey, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning. - Marco Fabris, Daniel Zelazo:
Secure Consensus via Objective Coding: Robustness Analysis to Channel Tampering. - Xueying Wang, Yudong Guo, Zhongqi Yang, Juyong Zhang:
Prior-Guided Multi-View 3D Head Reconstruction. - Siyue Yu, Jimin Xiao, Bingfeng Zhang, Eng Gee Lim:
Fast Pixel-Matching for Video Object Segmentation. - Qing Guo, Xiaoguang Li, Felix Juefei-Xu, Hongkai Yu, Yang Liu, Song Wang:
JPGNet: Joint Predictive Filtering and Generative Network for Image Inpainting. - Shangyu Xie, Han Wang, Yu Kong, Yuan Hong:
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems. - Yilin Liu, Fuyou Xue, Hui Huang:
UrbanScene3D: A Large Scale Urban Scene Dataset and Simulator. - Yiqun Lin, Lichang Chen, Haibin Huang, Chongyang Ma, Xiaoguang Han, Shuguang Cui:
Beyond Farthest Point Sampling in Point-Wise Analysis. - Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, Junchi Yan:
UniRE: A Unified Label Space for Entity Relation Extraction. - Adya Danaditya:
Using Network Analysis on Twitter Data to Identify Threats on Indonesian Digital Activism. - Moritz Knolle, Alexander Ziller, Dmitrii Usynin, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert, Georgios Kaissis:
Differentially private training of neural networks with Langevin dynamics forcalibrated predictive uncertainty. - Hochang Lee, Kyung Chul Jeong, Daewan Han, Panjin Kim:
An Algorithm for Reversible Logic Circuit Synthesis Based on Tensor Decomposition. - Kristoffer Arnsfelt Hansen, Troels Bjerre Lund:
Computational Complexity of Computing a Quasi-Proper Equilibrium. - Sriram Gopalakrishnan, Utkarsh Soni, Tung Thai, Panagiotis Lymperopoulos, Matthias Scheutz, Subbarao Kambhampati:
Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver. - Morikazu Nakamura, Kohei Kaneshima, Takeo Yoshida:
Petri Net Modeling for Ising Model Formulation in Quantum Annealing. - Rafael Poyiadzi, Xavier Renard, Thibault Laugel, Raúl Santos-Rodríguez, Marcin Detyniecki:
Understanding surrogate explanations: the interplay between complexity, fidelity and coverage. - Paraskevi Nousi, Styliani-Christina Fragkouli, Nikolaos Passalis, Panagiotis Iosif, Theocharis Apostolatos, George Pappas, Nikolaos Stergioulas, Anastasios Tefas:
Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling. - Hannah Rose Kirk, Yennie Jun, Paulius Rauba, Gal Wachtel, Ruining Li, Xingjian Bai, Noah Broestl, Martin Doff-Sotta, Aleksandar Shtedritski, Yuki Markus Asano:
Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset. - Filippos E. Sotiropoulos, H. Harry Asada:
Dynamic Modeling of Bucket-Soil Interactions Using Koopman-DFL Lifting Linearization for Model Predictive Contouring Control of Autonomous Excavators. - Ulrich Haböck, Alberto Garoffolo, Daniele Di Benedetto:
Darlin: A proof carrying data scheme based on Marlin. - Wei Peng, Jun Zhang, Weien Zhou, Xiaoyu Zhao, Wen Yao, Xiaoqian Chen:
IDRLnet: A Physics-Informed Neural Network Library. - Pascal Kunz, Till Fluschnik, Rolf Niedermeier, Malte Renken:
Most Classic Problems Remain NP-hard on Relative Neighborhood Graphs and their Relatives. - Axel Parmentier:
Learning structured approximations of operations research problems. - Haoxian Tan, Sheng Guo, Yujie Zhong, Weilin Huang:
Mutually-aware Sub-Graphs Differentiable Architecture Search. - Floris Naber:
Semantic Segmentation on Multiple Visual Domains. - Nuri Benbarka, Jona Schröder, Andreas Zell:
Score refinement for confidence-based 3D multi-object tracking. - Tooba Faisal, Mischa Dohler, Simone Mangiante, Diego R. López:
BEAT: Blockchain-Enabled Accountable and Transparent Network Sharing in 6G. - Wonjong Jang, Gwangjin Ju, Yucheol Jung, Jiaolong Yang, Xin Tong, Seungyong Lee:
StyleCariGAN: Caricature Generation via StyleGAN Feature Map Modulation. - Jingwei Zhang, Bin Zi, Xiaoyu Ge:
Attend2Pack: Bin Packing through Deep Reinforcement Learning with Attention. - Alice Cortinovis, Daniel Kressner, Stefano Massei:
Divide and conquer methods for functions of matrices with banded or hierarchical low-rank structure. - Federica Storiale, Enrico Ferrentino, Pasquale Chiacchio:
Planning of efficient trajectories in robotized assembly of aerostructures exploiting kinematic redundancy. - Constantin Greif, Philipp Junk, Karsten Urban:
Linear/Ridge expansions: Enhancing linear approximations by ridge functions. - Vincenzo Daponte, Gilles Falquet:
An ontology for the formalization and visualization of scientific knowledge. - Sanket Biswas, Pau Riba, Josep Lladós, Umapada Pal:
Graph-based Deep Generative Modelling for Document Layout Generation. - Chenhao Wang, Hongxiang Cai, Yuxin Zou, Yichao Xiong:
RGB Stream Is Enough for Temporal Action Detection. - Amlan K. Barua, Ray Chew, Shuwang Li, John S. Lowengrub, Andreas Münch, Barbara Wagner:
Sharp-interface problem of the Ohta-Kawasaki model for symmetric diblock copolymers. - Xuezhong Lin, Jingyu Pan, Jinming Xu, Yiran Chen, Cheng Zhuo:
Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation. - Michael McKay, David F. Manlove:
The Three-Dimensional Stable Roommates Problem with Additively Separable Preferences. - Ashwin Raaghav Narayanan, Arber Zela, Tonmoy Saikia, Thomas Brox, Frank Hutter:
Multi-headed Neural Ensemble Search. - Xiaomeng Chen, Lingying Huang, Lidong He, Subhrakanti Dey, Ling Shi:
A Differential Private Method for Distributed Optimization in Directed Networks via State Decomposition. - Rolandos Alexandros Potamias, Georgios Siolas, Andreas-Georgios Stafylopatis:
A Robust Deep Ensemble Classifier for Figurative Language Detection. - Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim:
Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT. - Juan Pablo Vigneaux:
Information cohomology of classical vector-valued observables. - Stefan Bischof, Gottfried Schenner:
Rail Topology Ontology: A Rail Infrastructure Base Ontology. - Miguel Á. Carreira-Perpiñán, Yerlan Idelbayev:
Model compression as constrained optimization, with application to neural nets. Part V: combining compressions. - Sascha Meyen, Frieder Göppert, Helen Alber, Ulrike von Luxburg, Volker H. Franz:
Specialists Outperform Generalists in Ensemble Classification. - Zeyd Boukhers, Nagaraj Bahubali, Abinaya Thulsi Chandrasekaran, Adarsh Anand, Soniya Manchenahalli Gnanendra Prasadand, Sriram Aralappa:
Bib2Auth: Deep Learning Approach for Author Disambiguation using Bibliographic Data. - Shaowu Chen, Jiahao Zhou, Weize Sun, Lei Huang:
Joint Matrix Decomposition for Deep Convolutional Neural Networks Compression. - Jessica Cooper, In Hwa Um, Ognjen Arandjelovic, David J. Harrison:
Hoechst Is All You Need: Lymphocyte Classification with Deep Learning. - Chenggong Zhang, Juan Song, Qingyang Zhang, Weilong Dong, Ruomeng Ding, Zhilei Liu:
Action Unit Detection with Joint Adaptive Attention and Graph Relation. - Mathias Hall-Andersen, Nikolaj I. Schwartzbach:
Game theory on the blockchain: a model for games with smart contracts. - Milan Aggarwal, Mausoom Sarkar, Hiresh Gupta, Balaji Krishnamurthy:
Multi-Modal Association based Grouping for Form Structure Extraction. - Zhuang Qian, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi:
Improving Model Robustness with Latent Distribution Locally and Globally. - D. C. Antonopoulos, Vassilios A. Dougalis, D. E. Mitsotakis:
On the well-posedness of the Galerkin semidiscretization of the periodic initial-value problem of the Serre equations. - Raphael Y. Cohen, Aaron D. Sodickson:
An Orchestration Platform that Puts Radiologists in the Driver's Seat of AI Innovation: A Methodological Approach. - Milan Aggarwal, Hiresh Gupta, Mausoom Sarkar, Balaji Krishnamurthy:
Form2Seq : A Framework for Higher-Order Form Structure Extraction. - Nithia Vijayan, Prashanth L. A.:
Likelihood ratio-based policy gradient methods for distorted risk measures: A non-asymptotic analysis. - Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth, Saeed Sharifi-Malvajerdi:
Multiaccurate Proxies for Downstream Fairness. - Tom Vermeire, Thibault Laugel, Xavier Renard, David Martens, Marcin Detyniecki:
How to choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice. - Tobias Uelwer, Felix Michels, Oliver De Candido:
Learning to Detect Adversarial Examples Based on Class Scores. - Sebastián García, Karel Hynek, Dmitrii Vekshin, Tomás Cejka, Armin Wasicek:
Large Scale Measurement on the Adoption of Encrypted DNS. - Timo Bertram, Johannes Fürnkranz, Martin Müller:
A Comparison of Contextual and Non-Contextual Preference Ranking for Set Addition Problems. - Marta D'Elia, Yue Yu:
On the prescription of boundary conditions for nonlocal Poisson's and peridynamics models. - Xiaoxue Zang, Ying Xu, Jindong Chen:
Multimodal Icon Annotation For Mobile Applications. - Orizon P. Ferreira, Davi A. Pires:
Newton's Method with GeoGebra. - Michele Boreale, Daniele Gorla:
Algebra and coalgebra of stream products. - Stepan Makarenko, Dmitry Igorevich Sorokin, Alexander E. Ulanov, A. I. Lvovsky:
Aligning an optical interferometer with beam divergence control and continuous action space. - Eng-Jon Ong, Sameed Husain, Miroslaw Bober:
Understanding the Distributions of Aggregation Layers in Deep Neural Networks. - Dario Fontanel, Fabio Cermelli, Massimiliano Mancini, Barbara Caputo:
On the Challenges of Open World Recognitionunder Shifting Visual Domains. - Felix I. Stamm, Martin Becker, Markus Strohmaier, Florian Lemmerich:
Redescription Model Mining. - Giampaolo Bovenzi, Lixuan Yang, Alessandro Finamore, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè, Dario Rossi:
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification. - Wenrui Hao, Xianlin Jin, Jonathan W. Siegel, Jinchao Xu:
An efficient greedy training algorithm for neural networks and applications in PDEs. - Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification. - Wen Shen, Zhihua Wei, Shikun Huang, Binbin Zhang, Jiaqi Fan, Ping Zhao, Quanshi Zhang:
Interpretable Compositional Convolutional Neural Networks. - Alexander Schäfer, Tomoko Isomura, Gerd Reis, Katsumi Watanabe, Didier Stricker:
MutualEyeContact: A conversation analysis tool with focus on eye contact. - Arnulf Jentzen, Adrian Riekert:
Convergence analysis for gradient flows in the training of artificial neural networks with ReLU activation. - Jean-Sébastien Brouillon, Emanuele Fabbiani, Pulkit Nahata, Florian Dörfler, Giancarlo Ferrari-Trecate:
Bayesian Error-in-Variables Models for the Identification of Power Networks. - Mustafa Shukor, Xu Yao, Bharath Bhushan Damodaran, Pierre Hellier:
Semantic and Geometric Unfolding of StyleGAN Latent Space. - Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz, Frank Sommer:
Preventing Small (s, t)-Cuts by Protecting Edges. - Sampo Kuutti, Saber Fallah, Richard Bowden:
Adversarial Mixture Density Networks: Learning to Drive Safely from Collision Data. - Sampo Kuutti, Saber Fallah, Richard Bowden:
ARC: Adversarially Robust Control Policies for Autonomous Vehicles. - Ran Liu, Joseph L. Greenstein, James C. Fackler, Jules Bergmann, Melania M. Bembea, Raimond L. Winslow:
Offline reinforcement learning with uncertainty for treatment strategies in sepsis. - Vincent Mai, Waleed Khamies, Liam Paull:
Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression. - Alice Jaffray, Conor Finn, Jason R. C. Nurse:
SherLOCKED: A Detective-themed Serious Game for Cyber Security Education. - Wei Sun, Theodore B. Trafalis:
Learning-Based Nonlinear H∞ Control via Game-Theoretic Differential Dynamic Programming. - Maksim Siniukov, Anastasia Antsiferova, Dmitriy L. Kulikov, Dmitriy S. Vatolin:
Hacking VMAF and VMAF NEG: metrics vulnerability to different preprocessing. - Scott Roy, Cliff Brunk, Kyu-Young Kim, Justin Zhao, Markus Freitag, Mihir Kale, Gagan Bansal, Sidharth Mudgal, Chris Varano:
Using Machine Translation to Localize Task Oriented NLG Output. - Hongda Ren, Rahul Ranjan Jha, Anamika Dubey, Noel N. Schulz:
Extremum-Seeking Adaptive-Droop for Model-free and Localized Volt-VAR Optimization. - Tobias Riedlinger, Matthias Rottmann, Marius Schubert, Hanno Gottschalk:
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors. - Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang:
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization. - Ruihan Wu, Chuan Guo, Yi Su, Kilian Q. Weinberger:
Online Adaptation to Label Distribution Shift. - Pooja Rani, Sebastiano Panichella, Manuel Leuenberger, Andrea Di Sorbo, Oscar Nierstrasz:
How to Identify Class Comment Types? A Multi-language Approach for Class Comment Classification. - Matt Revelle, Carlotta Domeniconi, Ben U. Gelman:
Group-Node Attention for Community Evolution Prediction. - Niklas Hanselmann, Nick Schneider, Benedikt Ortelt, Andreas Geiger:
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation. - Seongjoon Kang, Siyoung Choi, Goodsol Lee, Saewoong Bahk:
A Dual-Connection based Handover Scheme for Ultra-Dense Millimeter-Wave Cellular Networks. - Rika Antonova, Fabio Ramos, Rafael Possas, Dieter Fox:
BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym. - Muhammad Burhan Hafez, Stefan Wermter:
Behavior Self-Organization Supports Task Inference for Continual Robot Learning. - Jason Chui, Simon Klenk, Daniel Cremers:
Event-Based Feature Tracking in Continuous Time with Sliding Window Optimization. - Bruno Brito, Achin Agarwal, Javier Alonso-Mora:
Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios. - Sravanthi Chede, Anil Shukla:
Does QRAT simulate IR-calc? QRAT simulation algorithm for ∀Exp+Res cannot be lifted to IR-calc. - Xinrui Song, Hengtao Guo, Xuanang Xu, Hanqing Chao, Sheng Xu, Baris Turkbey, Bradford J. Wood, Ge Wang, Pingkun Yan:
Cross-modal Attention for MRI and Ultrasound Volume Registration. - Amey Thakur, Hasan Rizvi, Mega Satish:
White-Box Cartoonization Using An Extended GAN Framework. - Immanuel Trummer:
Can Deep Neural Networks Predict Data Correlations from Column Names? - Anthony Baptista, Aitor González, Anaïs Baudot:
Universal Multilayer Network Exploration by Random Walk with Restart. - Zeeshan Ahmad, Suha Rabbani, Muhammad Rehman Zafar, Syem Ishaque, Sridhar Krishnan, Naimul Mefraz Khan:
Multi-level Stress Assessment from ECG in a Virtual Reality Environment using Multimodal Fusion. - Satnam Singh, Doris Schicker:
Seven Basic Expression Recognition Using ResNet-18. - Francisco Eiras, Motasem Alfarra, M. Pawan Kumar, Philip H. S. Torr, Puneet K. Dokania, Bernard Ghanem, Adel Bibi:
ANCER: Anisotropic Certification via Sample-wise Volume Maximization. - Naeem Turner-Bandele, Amritanshu Pandey, Larry T. Pileggi:
Analytical Inverter-Based Distributed Generator Model for Power Flow Analysis. - Gerardo Vega, Félix Hernández:
Optimal three-weight cyclic codes whose duals are also optimal. - Alessandro Lupo, Lorenz Butschek, Serge Massar:
Photonic Extreme Learning Machine based on frequency multiplexing. - Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu:
ViTGAN: Training GANs with Vision Transformers. - Md. Ali Azam:
UAV Control Optimization via Decentralized Markov Decision Processes. - Amreen Batool, Baoshan Sun, Ali Saleem, Jawad Ali:
Convergence of 5G with Internet of Things for Enhanced Privacy. - Maximilian Diehl, Karinne Ramirez-Amaro:
Work in Progress - Automated Generation of Robotic Planning Domains from Observations. - Brandon G. Jacques, Zoran Tiganj, Aakash Sarkar, Marc W. Howard, Per B. Sederberg:
SITHCon: A neural network robust to variations in input scaling on the time dimension. - Seyed-Mahdi Nasiri, Reshad Hosseini, Hadi Moradi:
Optimal Triangulation Method is Not Really Optimal. - Gaurav Shrivastava, Abhinav Shrivastava:
Diverse Video Generation using a Gaussian Process Trigger. - Shea Hagstrom, Hee Won Pak, Stephanie Ku, Sean Wang, Gregory D. Hager, Myron Brown:
Cumulative Assessment for Urban 3D Modeling. - Martí Pedemonte, Jordi Vitrià, Álvaro Parafita:
Algorithmic Causal Effect Identification with causaleffect. - Alvaro Velasquez, Andre Beckus, Taylor Dohmen, Ashutosh Trivedi, Noah Topper, George K. Atia:
Learning Probabilistic Reward Machines from Non-Markovian Stochastic Reward Processes. - Wiktor Piotrowski, Roni Stern, Matthew Klenk, Alexandre Perez, Shiwali Mohan, Johan de Kleer, Jacob Le:
Playing Angry Birds with a Domain-Independent PDDL+ Planner. - Zhe Feng, Sébastien Lahaie:
Robust Clearing Price Mechanisms for Reserve Price Optimization. - Harikrishna Narasimhan, Aditya Krishna Menon:
Training Over-parameterized Models with Non-decomposable Objectives. - Ben Green:
Impossibility of What? Formal and Substantive Equality in Algorithmic Fairness. - Baoru Huang, Jianqing Zheng, Anh Nguyen, David Tuch, Kunal Vyas, Stamatia Giannarou, Daniel S. Elson:
Self-Supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images. - João Pedro Norenberg, Americo Cunha Jr., Samuel da Silva, Paulo Sérgio Varoto:
Global sensitivity analysis of (a)symmetric energy harvesters. - Marwan Dhuheir, Emna Baccour, Aiman Erbad, Sinan Sabeeh, Mounir Hamdi:
Efficient Real-Time Image Recognition Using Collaborative Swarm of UAVs and Convolutional Networks. - John Miller, Rohan Taori, Aditi Raghunathan, Shiori Sagawa, Pang Wei Koh, Vaishaal Shankar, Percy Liang, Yair Carmon, Ludwig Schmidt:
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization. - Divyansh Pareek, Andrej Risteski:
The Effects of Invertibility on the Representational Complexity of Encoders in Variational Autoencoders. - Rehab Alharbi, Erin Wolf Chambers, Elizabeth Munch:
Realizable piecewise linear paths of persistence diagrams with Reeb graphs. - Jean-Lou De Carufel, Darryl Hill, Anil Maheshwari, Sasanka Roy, Luís Fernando Schultz Xavier da Silveira:
Constant Delay Lattice Train Schedules. - Fethiye Irmak Dogan, Iolanda Leite:
Using Depth for Improving Referring Expression Comprehension in Real-World Environments. - Tung Mai, Anup B. Rao, Ryan A. Rossi, Saeed Seddighin:
Optimal Space and Time for Streaming Pattern Matching. - Serge Assaad, Shuxi Zeng, Henry D. Pfister, Fan Li, Lawrence Carin:
Hölder Bounds for Sensitivity Analysis in Causal Reasoning. - Yue Niu, Jonathan Sterling, Harrison Grodin, Robert Harper:
A cost-aware logical framework. - Sebastian Perez-Salazar, Alfredo Torrico, Victor Verdugo:
Preserving Diversity when Partitioning: A Geometric Approach. - Fioralba Cakoni, Peter Monk, Yangwen Zhang:
Target signatures for thin surfaces. - Dilin Wang, Yuan Shangguan, Haichuan Yang, Pierce Chuang, Jiatong Zhou, Meng Li, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra:
Noisy Training Improves E2E ASR for the Edge. - Jan Bok, Martin Cerný:
1-convex extensions of partially defined cooperative games and the average value. - Raphael Mazzine, David Martens:
A Framework and Benchmarking Study for Counterfactual Generating Methods on Tabular Data. - Amit Kumar Nath, Andy Wang:
A Survey on Personal Image Retrieval Systems. - Ismaël Jecker, Nicolas Mazzocchi, Petra Wolf:
Decomposing Permutation Automata. - Yongjie Yang, Jianxin Wang:
Parameterized Complexity of Multi-winner Determination: More Effort Towards Fixed-Parameter Tractability. - Richard Lau, Lihan Yao, Todd Huster, William Johnson, Stephen Arleth, Justin Wong, Devin B. Ridge, Michael Fletcher, William C. Headley:
Scaled-Time-Attention Robust Edge Network. - Fei Ye, Adrian G. Bors:
Lifelong Teacher-Student Network Learning. - Vatsal Raina, Mark J. F. Gales:
An Initial Investigation of Non-Native Spoken Question-Answering. - Fei Ye, Adrian G. Bors:
Lifelong Mixture of Variational Autoencoders. - Christian S. Perone, Roberto Pereira Silveira, Thomas Paula:
L2M: Practical posterior Laplace approximation with optimization-driven second moment estimation. - Yong Chen, Zhi-Zhong Chen, Curtis Kennedy, Guohui Lin, Yao Xu, An Zhang:
Approximation algorithms for the directed path partition problems. - Anderson P. da Silva, Teresa Bernarda Ludermir, Leandro M. Almeida:
Um Metodo para Busca Automatica de Redes Neurais Artificiais. - Fei Ye, Adrian G. Bors:
InfoVAEGAN : learning joint interpretable representations by information maximization and maximum likelihood. - Brynmor Chapman, R. Ryan Williams:
Smaller ACC0 Circuits for Symmetric Functions. - Fei Ye, Adrian G. Bors:
Lifelong Twin Generative Adversarial Networks. - Rui Yan, Ruiliang Deng, Haowen Lai, Weixian Zhang, Zongying Shi, Yisheng Zhong:
Multiplayer Homicidal Chauffeur Reach-Avoid Games via Guaranteed Winning Strategies. - Rosanna Bellini, Alexander Wilson, Jan David Smeddinck:
Fragments of the Past: Curating Peer Support with Perpetrators of Domestic Violence. - Yaroslav Golubev, Timofey Bryksin:
On the Nature of Code Cloning in Open-Source Java Projects. - Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li:
Automated Graph Learning via Population Based Self-Tuning GCN. - Henry Kvinge, Colby Wight, Sarah Akers, Scott Howland, Woongjo Choi, Xiaolong Ma, Luke J. Gosink, Elizabeth Jurrus, Keerti Kappagantula, Tegan H. Emerson:
A Topological-Framework to Improve Analysis of Machine Learning Model Performance. - Ali Salehi, Madhusudhanan Balasubramanian:
DDCNet: Deep Dilated Convolutional Neural Network for Dense Prediction. - Juan Manuel Florez, Laura Moreno, Zenong Zhang, Shiyi Wei, Andrian Marcus:
An Empirical Study of Data Constraint Implementations in Java. - Yuanxin Wu, Maoran Zhu:
Attitude Reconstruction from Inertial Measurement: Mitigating Runge Effect for Dynamic Applications. - Kun Jiang, Lili Ju, Jingwei Li, Xiao Li:
Unconditionally stable exponential time differencing schemes for the mass-conserving Allen-Cahn equation with nonlocal and local effects. - Ankita Pasad, Ju-Chieh Chou, Karen Livescu:
Layer-wise Analysis of a Self-supervised Speech Representation Model. - Jinpeng Li, Yichao Yan, Shengcai Liao, Xiaokang Yang, Ling Shao:
Local-to-Global Self-Attention in Vision Transformers. - Shrey Desai, Akshat Shrivastava, Justin Rill, Brian Moran, Safiyyah Saleem, Alexander Zotov, Ahmed Aly:
Assessing Data Efficiency in Task-Oriented Semantic Parsing. - Kien-Tuan Ngo, Thu-Trang Nguyen, Son Nguyen, Hieu Dinh Vo:
Variability Fault Localization: A Benchmark. - Yueming Wu, Deqing Zou, Wei Yang, Xiang Li, Hai Jin:
HomDroid: Detecting Android Covert Malware by Social-Network Homophily Analysis. - Darshan Gera, S. Balasubramanian:
Consensual Collaborative Training And Knowledge Distillation Based Facial Expression Recognition Under Noisy Annotations. - Mohammad Nayeem Teli, Seungwon Oh:
Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial Perturbations. - Hongwei Wang, Lantao Yu, Zhangjie Cao, Stefano Ermon:
Multi-Agent Imitation Learning with Copulas. - Jason D. Hartline, Aleck C. Johnsen:
Lower Bounds for Prior Independent Algorithms. - Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang:
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering. - Alexander Göke, Jochen Könemann, Matthias Mnich, Hao Sun:
Hitting Weighted Even Cycles in Planar Graphs. - Sara Hajj Ibrahim, Mohamed Nassar:
Hack The Box: Fooling Deep Learning Abstraction-Based Monitors. - Mayur Rajaram Parate, Kishor M. Bhurchandi, Ashwin G. Kothari:
Anomaly Detection in Residential Video Surveillance on Edge Devices in IoT Framework. - Jianyu Wang, Bing-Kun Bao, Changsheng Xu:
DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question Answering. - Tomoya Sunami, Sohei Itahara, Yusuke Koda, Takayuki Nishio, Koji Yamamoto:
Computer Vision-assisted Decimeter-level Single-antenna RSSI Localization Harnessing Dynamic Blockage Events. - Jaspreet Singh Dhani, Ruchika Bhatt, Balaji Ganesan, Parikshet Sirohi, Vasudha Bhatnagar:
Similar Cases Recommendation using Legal Knowledge Graphs. - Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang:
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning for Semantic Code Search. - Albert Wilcox, Ashwin Balakrishna, Brijen Thananjeyan, Joseph E. Gonzalez, Ken Goldberg:
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Iterative Tasks. - Masoud Safarishaal, Mohammad Sarvi:
Using Optimization Algorithms for Control of Multiple Output DC-DC Converters. - Bryar Ahmad Hassan, Tarik A. Rashid, Seyedali Mirjalili:
Formal context reduction in deriving concept hierarchies from corpora using adaptive evolutionary clustering algorithm star. - Shuyuan Li, Huabin Liu, Rui Qian, Yuxi Li, John See, Mengjuan Fei, Xiaoyuan Yu, Weiyao Lin:
TTAN: Two-Stage Temporal Alignment Network for Few-shot Action Recognition. - Haiye Huo:
Stable Recovery of Weighted Sparse Signals from Phaseless Measurements via Weighted l1 Minimization. - Luca Desiderio, Silvia Falletta, Matteo Ferrari, Letizia Scuderi:
On the coupling of the Curved Virtual Element Method with the one-equation Boundary Element Method for 2D exterior Helmholtz problems. - Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang:
Semi-Supervised Learning with Multi-Head Co-Training. - S. Aadhavan, R. Mahendra Kumar, P. Renjith, N. Sadagopan:
Hamiltonicity: Variants and Generalization in P5-free Chordal Bipartite graphs. - Shah Rukh Humayoun, Ibrahim Mansour, Ragaad AlTarawneh:
TEVISE: An Interactive Visual Analytics Tool to Explore Evolution of Keywords' Relations in Tweet Data. - Shijing Si, Jianzong Wang, Huiming Sun, Jianhan Wu, Chuanyao Zhang, Xiaoyang Qu, Ning Cheng, Lei Chen, Jing Xiao:
Variational Information Bottleneck for Effective Low-resource Audio Classification. - Sudipto Chowdhury, Asha K. Dond, Neela Nataraj, Devika Shylaja:
A posteriori error analysis for a distributed optimal control problem governed by the von Kármán equations. - Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Shu Wei Ting, Rick Siow Mong Goh:
Few-Shot Domain Adaptation with Polymorphic Transformers. - Shijing Si, Jianzong Wang, Xiaoyang Qu, Ning Cheng, Wenqi Wei, Xinghua Zhu, Jing Xiao:
Speech2Video: Cross-Modal Distillation for Speech to Video Generation. - Fangqiu Yi, Tingting Jiang:
Not End-to-End: Explore Multi-Stage Architecture for Online Surgical Phase Recognition. - Atul Sharma, Bulla Rajesh, Mohammed Javed:
Detection of Plant Leaf Disease Directly in the JPEG Compressed Domain using Transfer Learning Technique. - Fang Gao, Jiabao Wang, Jun Yu, Yaoxiong Wang, Feng Shuang:
A Weakly-Supervised Depth Estimation Network Using Attention Mechanism. - Shoaib Ahmed Siddiqui, Thomas M. Breuel:
Identifying Layers Susceptible to Adversarial Attacks. - Yu-Ming Zhang, Chun-Chieh Lee, Jun-Wei Hsieh, Kuo-Chin Fan:
CSL-YOLO: A New Lightweight Object Detection System for Edge Computing. - David I. Spivak, Timothy Hosgood:
Dirichlet polynomials and entropy. - Chaojie Gu, Linshan Jiang, Rui Tan, Mo Li, Jun Huang:
Attack-Aware Synchronization-Free Data Timestamping in LoRaWAN. - Yuan Tai, Yihua Tan, Wei Gong, Hailan Huang:
Bayesian Convolutional Neural Networks for Seven Basic Facial Expression Classifications. - Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo:
Noise Stability Regularization for Improving BERT Fine-tuning. - Michael Hagenow, Emmanuel Senft, Robert G. Radwin, Michael Gleicher, Bilge Mutlu, Michael R. Zinn:
Informing Real-time Corrections in Corrective Shared Autonomy Through Expert Demonstrations. - Haodong Chang, Yabo Chu:
Propagation-aware Social Recommendation by Transfer Learning. - Arul Selvam Periyasamy, Max Schwarz, Sven Behnke:
SynPick: A Dataset for Dynamic Bin Picking Scene Understanding. - Xiaobo Xia, Shuo Shan, Mingming Gong, Nannan Wang, Fei Gao, Haikun Wei, Tongliang Liu:
Kernel Mean Estimation by Marginalized Corrupted Distributions. - Joseph Eremondi, Ronald Garcia, Éric Tanter:
Approximate Normalization and Eager Equality Checking for Gradual Inductive Families. - Florian Tambon, Giulio Antoniol, Foutse Khomh:
HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks. - An-Chieh Cheng, Xueting Li, Min Sun, Ming-Hsuan Yang, Sifei Liu:
Learning 3D Dense Correspondence via Canonical Point Autoencoder. - Laura Giordano, Valentina Gliozzi, Daniele Theseider Dupré:
From Common Sense Reasoning to Neural Network Models through Multiple Preferences: an overview. - Manos N. Kamarianakis, Nick Lydatakis, George Papagiannakis:
Never 'Drop the Ball' in the Operating Room: An efficient hand-based VR HMD controller interpolation algorithm, for collaborative, networked virtual environments. - Marcos V. Conde, Kumar Shubham, Prateek Agnihotri, Nitin D. Movva, Szilard Bessenyei:
Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 Solution. - Gaochen Wu, Bin Xu, Yuxin Qin, Fei Kong, Bangchang Liu, Hongwen Zhao, Dejie Chang:
PatentMiner: Patent Vacancy Mining via Context-enhanced and Knowledge-guided Graph Attention. - Anisie Uwimana, Ransalu Senanayake:
Out of Distribution Detection and Adversarial Attacks on Deep Neural Networks for Robust Medical Image Analysis. - Sai Vamshi Samala, Subhajit Pramanick, Debasish Pattanayak, Partha Sarathi Mandal:
Filling MIS Vertices by Myopic Luminous Robots. - Hao Zheng, Jun Han, Hongxiao Wang, Lin Yang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation. - Philip J. Purnell:
The prevalence and impact of university affiliation discrepancies between four well-known bibliometric databases. - Benoît Groz, Aurélien Lemay, Slawek Staworko, Piotr Wieczorek:
Inference of Shape Expression Schemas Typed RDF Graphs. - Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann:
Improving Inductive Link Prediction Using Hyper-Relational Facts. - Satvik Garg, Pradyumn Pundir, Himanshu Jindal, Hemraj Saini, Somya Garg:
Towards a Multimodal System for Precision Agriculture using IoT and Machine Learning. - Kai Zhang, Yupeng Yang, Chengtao Xu, Dahai Liu, Houbing Song:
Learning-to-Dispatch: Reinforcement Learning Based Flight Planning under Emergency. - Tarik Dzanic, Will Trojak, Freddie D. Witherden:
Bounds Preserving Temporal Integration Methods for Hyperbolic Conservation Laws. - Iuliia Kotseruba, Manos Papagelis, John K. Tsotsos:
Industry and Academic Research in Computer Vision. - Nikolay Ivanov, Qiben Yan, Qingyang Wang:
Blockumulus: A Scalable Framework for Smart Contracts on the Cloud. - Elochukwu Ukwandu, Mohamed Amine Ben Farah, Hanan Hindy, Miroslav Bures, Robert C. Atkinson, Christos Tachtatzis, Xavier J. A. Bellekens:
Cyber-Security Challenges in Aviation Industry: A Review of Current and Future Trends. - N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Prediction of concept lengths for fast concept learning in description logics. - Ivan Zakazov, Boris Shirokikh, Alexey Chernyavskiy, Mikhail Belyaev:
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation. - Maria Hartmann, László Kozma, Corwin Sinnamon, Robert E. Tarjan:
Analysis of Smooth Heaps and Slim Heaps. - Antea Hadviger, Igor Cvisic, Ivan Markovic, Sacha Vrazic, Ivan Petrovic:
Feature-based Event Stereo Visual Odometry. - Sepanta Zeighami, Cyrus Shahabi:
NeuroDB: A Neural Network Framework for Answering Range Aggregate Queries and Beyond. - Behzad Khamidehi, Elvino S. Sousa:
Distributed Deep Reinforcement Learning for Intelligent Traffic Monitoring with a Team of Aerial Robots. - Talha Kavuncu, Ayberk Yaraneri, Negar Mehr:
Potential iLQR: A Potential-Minimizing Controller for Planning Multi-Agent Interactive Trajectories. - Ethan Davis, Christopher M. Danforth, Wolfgang Mieder, Peter Sheridan Dodds:
Computational Paremiology: Charting the temporal, ecological dynamics of proverb use in books, news articles, and tweets. - Yuecong Xu, Jianfei Yang, Haozhi Cao, Kezhi Mao, Jianxiong Yin, Simon See:
Aligning Correlation Information for Domain Adaptation in Action Recognition. - Euijoon Ahn, Dagan Feng, Jinman Kim:
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation. - Martin Saveski, Farshad Kooti, Sylvia Morelli Vitousek, Carlos Diuk, Bryce Bartlett, Lada A. Adamic:
Social Catalysts: Characterizing People Who Spark Conversations Among Others. - Hazem Rashed, Mariam Essam, Maha Mohamed, Ahmad El Sallab, Senthil Kumar Yogamani:
BEV-MODNet: Monocular Camera based Bird's Eye View Moving Object Detection for Autonomous Driving. - Yuqian Chen, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation. - Mengyu Fu, Oren Salzman, Ron Alterovitz:
Toward Certifiable Motion Planning for Medical Steerable Needles. - Jenny Blessing, Michael A. Specter, Daniel J. Weitzner:
You Really Shouldn't Roll Your Own Crypto: An Empirical Study of Vulnerabilities in Cryptographic Libraries. - Yuecong Xu, Jianfei Yang, Haozhi Cao, Qi Li, Kezhi Mao, Zhenghua Chen:
Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network. - Lee Lindblom, Oliver Rinne, Nicholas W. Taylor:
Building Three-Dimensional Differentiable Manifolds Numerically. - Jianyu Niu, Fangyu Gai, Mohammad M. Jalalzai, Chen Feng:
On the Performance of Pipelined HotStuff. - Jiangbo Zhang, Deming Yuan, Lei Wang, Claudio Altafini, Guodong Shi:
Dynamics of Opinions with Bounded Confidence in Social Cliques: Emergence of Fluctuations. - Gaurav Bhatt, Shivam Chandhok, Vineeth N. Balasubramanian:
Learn from Anywhere: Rethinking Generalized Zero-Shot Learning with Limited Supervision. - Jonathan Stray:
Designing Recommender Systems to Depolarize. - Kin Wai Cheuk, Dorien Herremans, Li Su:
ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data. - Wing Kam Liu, Shaofan Li, Harold Park:
Eighty Years of the Finite Element Method: Birth, Evolution, and Future. - Tae Jong Choi, Julian Togelius:
Self-Referential Quality Diversity Through Differential Map-Elites. - Sridevi Narayana Wagle, Boris Kovalerchuk:
Self-service Data Classification Using Interactive Visualization and Interpretable Machine Learning. - Rose McDonald, Boris Kovalerchuk:
Non-linear Visual Knowledge Discovery with Elliptic Paired Coordinates. - Chuyu Huang:
STR-GODEs: Spatial-Temporal-Ridership Graph ODEs for Metro Ridership Prediction. - Mohamad H. Danesh, Alan Fern:
Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and Results. - Jack Lynch, Sam Wookey:
Leveraging Domain Adaptation for Low-Resource Geospatial Machine Learning. - Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley:
SVP-CF: Selection via Proxy for Collaborative Filtering Data. - Dazhuan Xu, Han Zhang, Weilin Tu:
Theoretical Limit of Radar Parameter Estimation. - Yuanyi Zhong, Yuan Zhou, Jian Peng:
Coordinate-wise Control Variates for Deep Policy Gradients. - Ya-Chien Chang, Sicun Gao:
Stabilizing Neural Control Using Self-Learned Almost Lyapunov Critics. - Ferhat Özgür Çatak, Tao Yue, Shaukat Ali:
Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving. - Haibo Liu, Qunying Liao:
Two Constructions for Minimal Ternary Linear Codes. - Jawaherul Md. Alam, Michael A. Bekos, Martin Gronemann, Michael Kaufmann, Sergey Pupyrev:
The Mixed Page Number of Graphs. - Kai Han, Benwei Wu, Jing Tang, Shuang Cui, Çigdem Aslay, Laks V. S. Lakshmanan:
Efficient and Effective Algorithms for Revenue Maximization in Social Advertising. - Apostolos Kousaridas, Ramya Panthangi Manjunath, José Mauricio Perdomo, Chan Zhou, Ernst Zielinski, Steffen Schmitz, Andreas Pfadler:
QoS Prediction for 5G Connected and Automated Driving. - Gaochen Wu, Bin Xu, Yuxin Qin, Fei Kong, Bangchang Liu, Hongwen Zhao, Dejie Chang:
Improving Low-resource Reading Comprehension via Cross-lingual Transposition Rethinking. - Yi-Geng Hong, Hui-Chu Xiao, Wan-Lei Zhao:
Towards Accurate Localization by Instance Search. - Kyungyun Lee, Wonil Kim, Juhan Nam:
PocketVAE: A Two-step Model for Groove Generation and Control. - Qiyou Duan, Hadi G. Ghauch, Taejoon Kim:
Dual Optimization for Kolmogorov Model Learning Using Enhanced Gradient Descent. - Ren-Hung Hwang, Yuan-Cheng Lai, Ying-Dar Lin:
Offloading Optimization with Delay Distribution in the 3-tier Federated Cloud, Edge, and Fog Systems. - Ke Wang, Waheeb Yaqub, Abdallah Lakhdari, Basem Suleiman:
Combating fake news by empowering fact-checked news spread via topology-based interventions. - Lorenzo Ciardo, Stanislav Zivný:
CLAP: A New Algorithm for Promise CSPs. - Jingjing Cui, Yifeng Xiong, Soon Xin Ng, Lajos Hanzo:
Quantum Approximate Optimization Algorithm Based Maximum Likelihood Detection. - Yuming Jiang:
Some Properties of Length Rate Quotient Shapers. - Young Kyun Jang, Nam Ik Cho:
Similarity Guided Deep Face Image Retrieval. - Fangyuan Zhang, Tianxiang Pan, Bin Wang:
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training. - Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang:
Blending Pruning Criteria for Convolutional Neural Networks. - Jonathan Klawitter, Felix Klesen, Alexander Wolff:
Algorithms for Floor Planning with Proximity Requirements. - Chengrui Zhu, Keyu An, Huahuan Zheng, Zhijian Ou:
Multilingual and crosslingual speech recognition using phonological-vector based phone embeddings. - Ye Shi, Shao-Yuan Li, Sheng-Jun Huang:
Learning from Crowds with Sparse and Imbalanced Annotations. - Kenta Yamamoto, Daisuke Iwai, Kosuke Sato:
A Projector-Camera System Using Hybrid Pixels with Projection and Capturing Capabilities. - Shota Nakajima, Masashi Sugiyama:
Positive-Unlabeled Classification under Class-Prior Shift: A Prior-invariant Approach Based on Density Ratio Estimation. - Weina Jin, Xiaoxiao Li, Ghassan Hamarneh:
One Map Does Not Fit All: Evaluating Saliency Map Explanation on Multi-Modal Medical Images. - TahirMohammadAli, Attique Ur Rehman, AliNawaz, Wasi Haider Butt:
An Adaptive E-Learning System Using Justification Based Truth Maintenance System. - Ben Hayes, Charalampos Saitis, György Fazekas:
Neural Waveshaping Synthesis. - Maximilian Fichtl:
On the Expressiveness of Assignment Messages. - Tareq Tayeh, Abdallah Shami:
Anomaly Detection in Smart Manufacturing with an Application Focus on Robotic Finishing Systems: A Review. - Heini Bergsson Debes, Thanassis Giannetsos, Ioannis Krontiris:
BLINDTRUST: Oblivious Remote Attestation for Secure Service Function Chains. - Nilanjan Biswas, Hamed Mirghasemi, Luc Vandendorpe:
Sharing is Caring: A Mobile Edge Computing Perspective. - Yunsong Xie, Ryan Stearrett:
Machine Learning based CVD Virtual Metrology in Mass Produced Semiconductor Process. - Xiangzhu Meng, Wei Wei, Wenzhe Liu:
Locality Relationship Constrained Multi-view Clustering Framework. - Satyen Kale, Ayush Sekhari, Karthik Sridharan:
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs. - Cyril Touzé, Alessandra Vizzaccaro, Olivier Thomas:
Model order reduction methods for geometrically nonlinear structures: a review of nonlinear techniques. - Zheyi Ma, Hao Li, Wen Fang, Qingwen Liu, Bin Zhou, Zhiyong Bu:
A Cloud-Edge-Terminal Collaborative System for Temperature Measurement in COVID-19 Prevention. - Xuan Kan, Hejie Cui, Carl Yang:
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration. - Jorge F. Silva, Pablo Piantanida:
On Universal D-Semifaithful Coding for Memoryless Sources with Infinite Alphabets. - Joshua Mathew, Xin Tian, Min Wu, Chau-Wai Wong:
Remote Blood Oxygen Estimation From Videos Using Neural Networks. - Tim Menzies, Kewen Peng, Andre Lustosa:
Fairer Software Made Easier (using "Keys"). - Shikhar Suryavansh, Abu Benna, Chris Guest, Somali Chaterji:
Ambrosia: Reduction in Data Transfer from Sensor to Server for Increased Lifetime of IoT Sensor Nodes. - Shuo-En Chang, Yi-Cheng Yang, En-Ting Lin, Pei-Yung Hsiao, Li-Chen Fu:
SE-PSNet: Silhouette-based Enhancement Feature for Panoptic Segmentation Network. - Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang:
BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis. - Racine Ly:
Machine Learning Challenges and Opportunities in the African Agricultural Sector - A General Perspective. - Yunfeng Xiong, Xu Guo:
A short-memory operator splitting scheme for constant-Q viscoelastic wave equation. - Mohit Chandra, Manvith Reddy, Shradha Sehgal, Saurabh Gupta, Arun Balaji Buduru, Ponnurangam Kumaraguru:
"A Virus Has No Religion": Analyzing Islamophobia on Twitter During the COVID-19 Outbreak. - Md Omar Faruk Rokon, Pei Yan, Risul Islam, Michalis Faloutsos:
Repo2Vec: A Comprehensive Embedding Approach for Determining Repository Similarity. - Sushobhan Ghosh, Zhaoyang Lv, Nathan Matsuda, Lei Xiao, Andrew Berkovich, Oliver Cossairt:
LiveView: Dynamic Target-Centered MPI for View Synthesis. - Hai N. Nguyen, Marinos Vomvas, Triet Vo Huu, Guevara Noubir:
Spectro-Temporal RF Identification using Deep Learning. - He Zhao, Richard P. Wildes:
Interpretable Deep Feature Propagation for Early Action Recognition. - Makrand A. Khanwale, Kumar Saurabh, Masado Ishii, Hari Sundar, James A. Rossmanith, Baskar Ganapathysubramanian:
A projection-based, semi-implicit time-stepping approach for the Cahn-Hilliard Navier-Stokes equations on adaptive octree meshes. - Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Md Yasin Kabir, Even Oldridge:
Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation. - Muhammad Azmi Umer, Chuadhry Mujeeb Ahmed, Muhammad Taha Jilani, Aditya P. Mathur:
Attack Rules: An Adversarial Approach to Generate Attacks for Industrial Control Systems using Machine Learning. - Christian Ikenmeyer, Balagopal Komarath, Nitin Saurabh:
Karchmer-Wigderson Games for Hazard-free Computation. - Kristóf Bérczi, Erika R. Bérczi-Kovács, Evelin Szögi:
A dual approach for dynamic pricing in multi-demand markets. - George Michalopoulos, Ian McKillop, Alexander Wong, Helen H. Chen:
LexSubCon: Integrating Knowledge from Lexical Resources into Contextual Embeddings for Lexical Substitution. - Seethalakshmi Gopalakrishnan, Victor Zitian Chen, Gus Hahn-Powell, Bharadwaj Tirunagar:
Computer-assisted construct classification of organizational performance concerning different stakeholder groups. - Carles Domingo-Enrich, Alberto Bietti, Marylou Gabrié, Joan Bruna, Eric Vanden-Eijnden:
Dual Training of Energy-Based Models with Overparametrized Shallow Neural Networks. - S. Rasoul Etesami:
Open-Loop Equilibrium Strategies for Dynamic Influence Maximization Game Over Social Networks. - He Zhao, Richard P. Wildes:
Review of Video Predictive Understanding: Early Action Recognition and Future Action Prediction. - Shariq Riaz, Pierluigi Mancarella:
Modelling and Characterisation of Flexibility from Distributed Energy Resources. - Alexander Lambert, Byron Boots:
Entropy Regularized Motion Planning via Stein Variational Inference. - Ramin Nabati, Landon Harris, Hairong Qi:
CFTrack: Center-based Radar and Camera Fusion for 3D Multi-Object Tracking. - Harm Jan (Arjan) Meijer, J. Truong, Reza Karimi:
Document Embedding for Scientific Articles: Efficacy of Word Embeddings vs TFIDF. - Shalini Pandey, Jaideep Srivastava:
MOOCRep: A Unified Pre-trained Embedding of MOOC Entities. - Mahyar Shirvanimoghaddam:
On the Hamming Weight Distribution of Subsequences of Pseudorandom Sequences. - Shuyi Mao, Xinqi Fan, Xiaojiang Peng:
Spatial and Temporal Networks for Facial Expression Recognition in the Wild Videos. - Shengcheng Yu, Chunrong Fang, Tongyu Li, Mingzhe Du, Xuan Li, Jing Zhang, Yexiao Yun, Xu Wang, Zhenyu Chen:
Automated Mobile App Test Script Intent Generation via Image and Code Understanding. - Soham Pal, Yash Gupta, Aditya Kanade, Shirish K. Shevade:
Stateful Detection of Model Extraction Attacks. - Jingyao Zhou, Haipang Wu, Zehao Lin, Guodun Li, Yin Zhang:
Dialogue State Tracking with Multi-Level Fusion of Predicted Dialogue States and Conversations. - Xing Ji, Wei Shyy, Kun Xu:
A gradient-compression-based compact high-order gas-kinetic scheme on three-dimensional hybrid unstructured mesh. - Sk. Tanzir Mehedi, Adnan Anwar, Ziaur Rahman, Kawsar Ahmed:
Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks. - Balsam Alkouz, Athman Bouguettaya:
Provider-centric Allocation of Drone Swarm Services. - Houyu Zhou, Minming Li, Hau Chan:
Strategyproof Mechanisms For Group-Fair Facility Location Problems. - Guangyue Xu, Parisa Kordjamshidi, Joyce Y. Chai:
Zero-Shot Compositional Concept Learning. - Md. Habibur Rahman, Ziaur Rahman, Md. Al-Mustanjid, Muhammad Shahin Uddin, Mehedy Hasan Rafsan Jany:
Software Process Improvement Based on Defect Prevention Using Capability and Testing Model Integration in Extreme Programming. - Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong:
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. - Biplav Choudhury, Vijay K. Shah, Aidin Ferdowsi, Jeffrey H. Reed, Y. Thomas Hou:
AoI-minimizing Scheduling in UAV-relayed IoT Networks. - Joerg Christian Wolf:
Early warning of pedestrians and cyclists. - Siddartha Devic, Zihao Deng, Brendan Juba:
Polynomial Time Reinforcement Learning in Correlated FMDPs with Linear Value Functions. - Yao Chang, Menghan Hu, Guangtao Zhai, Xiao-Ping Zhang:
TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation. - Jaimie Swartz, Alexandra von Meier:
The Impact of Three-phase Impedances on the Stability of DER systems. - Luyao Ma, Yating Zhang, Tianyi Wang, Xiaozhong Liu, Wei Ye, Changlong Sun, Shikun Zhang:
Legal Judgment Prediction with Multi-Stage CaseRepresentation Learning in the Real Court Setting. - Pieter van Goor, Tarek Hamel, Robert E. Mahony:
Equivariant filter (EqF): A general filter design for systems on homogeneous spaces. - Yiming Luo, Jialin Wang, Hai-Ning Liang, Shan Luo, Eng Gee Lim:
Monoscopic vs. Stereoscopic Views and Display Types in the Teleoperation of Unmanned Ground Vehicles for Object Avoidance. - J. Mark Keil, Debajyoti Mondal, Ehsan Moradi, Yakov Nekrich:
Finding a Maximum Clique in a Grounded 1-Bend String Graph. - Oded Stein, Jiajin Li, Justin Solomon:
A Splitting Scheme for Flip-Free Distortion Energies. - Sanchit Hira, Ritwik Das, Abhinav Modi, Daniil Pakhomov:
Delta Sampling R-BERT for limited data and low-light action recognition. - Yanhua Huang, Weikun Wang, Lei Zhang, Ruiwen Xu:
Sliding Spectrum Decomposition for Diversified Recommendation. - Zhenrong Zhang, Jianshu Zhang, Jun Du:
Split, embed and merge: An accurate table structure recognizer. - Sobhan Miryoosefi, Chi Jin:
A Simple Reward-free Approach to Constrained Reinforcement Learning. - Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara:
Cautious Actor-Critic. - Pengsen Cheng, Jiayong Liu, Jinqiao Dai:
CatVRNN: Generating Category Texts via Multi-task Learning. - Vasiliki Liagkou, Panayotis E. Nastou, Paul G. Spirakis, Yannis C. Stamatiou:
On the undecidability of the Panopticon detection problem. - Yi-Hui Chou, I-Chun Chen, Chin-Jui Chang, Joann Ching, Yi-Hsuan Yang:
MidiBERT-Piano: Large-scale Pre-training for Symbolic Music Understanding. - Toby Murray, Pengbo Yan, Gidon Ernst:
Incremental Vulnerability Detection via Back-Propagating Symbolic Execution of Insecurity Separation Logic. - Michael Moor, Nicolas Bennett, Drago Plecko, Max Horn, Bastian Rieck, Nicolai Meinshausen, Peter Bühlmann, Karsten M. Borgwardt:
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning. - Liwei Huang, Yutao Ma, Yanbo Liu, Shuliang Wang, Deyi Li:
Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations. - Sho Ozaki, Shizuo Kaji, Kanabu Nawa, Toshikazu Imae, Atsushi Aoki, Takahiro Nakamoto, Takeshi Ohta, Yuki Nozawa, Hideomi Yamashita, Akihiro Haga, Keiichi Nakagawa:
Training deep cross-modality conversion models with a small amount of data and its application to MVCT to kVCT conversion. - Blessen George, Vinod K. Kurmi, Vinay P. Namboodiri:
Prb-GAN: A Probabilistic Framework for GAN Modelling. - Jun Wang, Chang Xu, Francisco Guzmán, Ahmed El-Kishky, Yuqing Tang, Benjamin I. P. Rubinstein, Trevor Cohn:
Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning. - Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng:
Inductive Representation Based Graph Convolution Network for Collaborative Filtering. - Margarita Rebolledo, Daan Zeeuwe, Thomas Bartz-Beielstein, A. E. Eiben:
Impact of Energy Efficiency on the Morphology and Behaviour of Evolved Robots. - Zipeng Xu, Fandong Meng, Xiaojie Wang, Duo Zheng, Chenxu Lv, Jie Zhou:
Modeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue. - Jiacheng Liang, Wensi Jiang, Songze Li:
OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning. - Emma Ahrens, Marius Bozga, Radu Iosif, Joost-Pieter Katoen:
Local Reasoning about Parameterized Reconfigurable Distributed Systems. - Sophia Bano, Brian Dromey, Francisco Vasconcelos, Raffaele Napolitano, Anna L. David, Donald M. Peebles, Danail Stoyanov:
AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes. - Onur Dizdar, Bruno Clerckx:
Rate-Splitting Multiple Access for Communications and Jamming in Multi-Antenna Multi-Carrier Cognitive Radio Systems. - Thomas Ehrhard:
Coherent differentiation. - Tamir Bendory, Dan Edidin, William E. Leeb, Nir Sharon:
Dihedral multi-reference alignment. - Yingshi Chen:
The Brownian motion in the transformer model. - Or Bar-Shira, Ahuva Grubstein, Yael Rapson, Dror Suhami, Eli Atar, Keren Peri-Hanania, Ronnie Rosen, Yonina C. Eldar:
Learned super resolution ultrasound for improved breast lesion characterization. - Xavier Bay, Laurence Grammont:
Constrained Optimal Smoothing and Bayesian Estimation. - Wenyuan Li, Keyan Chen, Hao Chen, Zhenwei Shi:
Geographical Knowledge-driven Representation Learning for Remote Sensing Images. - Erwin de Gelder, Eric Cator, Jan-Pieter Paardekooper, Olaf Op den Camp, Bart De Schutter:
Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles. - Chun Chet Ng, Akmalul Khairi Bin Nazaruddin, Yeong Khang Lee, Xinyu Wang, Yuliang Liu, Chee Seng Chan, Lianwen Jin, Yipeng Sun, Lixin Fan:
ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment. - Ibrahim Hroob, Riccardo Polvara, Sergi Molina Mellado, Grzegorz Cielniak, Marc Hanheide:
Benchmark of visual and 3D lidar SLAM systems in simulation environment for vineyards. - Lingjie Liu, Nenglun Chen, Duygu Ceylan, Christian Theobalt, Wenping Wang, Niloy J. Mitra:
CurveFusion: Reconstructing Thin Structures from RGBD Sequences. - Jean Christoph Jung, Carsten Lutz, Hadrien Pulcini, Frank Wolter:
Separating Data Examples by Description Logic Concepts with Restricted Signatures. - Stefan Ainetter, Friedrich Fraundorfer:
End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB. - Rahul Vaze, Manjesh Kumar Hanawal:
Continuous Time Bandits With Sampling Costs. - Kenneth C. Enevoldsen, Lasse Hansen, Kristoffer Laigaard Nielbo:
DaCy: A Unified Framework for Danish NLP. - Anuj Dawar, Felipe Ferreira Santos:
Separating LREC from LFP. - Shivangi Aneja, Cise Midoglu, Duc-Tien Dang-Nguyen, Michael Alexander Riegler, Pål Halvorsen, Matthias Nießner, Balu Adsumilli, Chris Bregler:
MMSys'21 Grand Challenge on Detecting Cheapfakes. - Enzo Tartaglione, Stéphane Lathuilière, Attilio Fiandrotti, Marco Cagnazzo, Marco Grangetto:
HEMP: High-order Entropy Minimization for neural network comPression. - Burak Can, Jens Leth Hougaard, Mohsen Pourpouneh:
On Reward Sharing in Blockchain Mining Pools. - Yanpeng Cao, Chengcheng Wang, Changjun Song, Yongming Tang, He Li:
Real-Time Super-Resolution System of 4K-Video Based on Deep Learning. - Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua:
Contrastive Learning for Cold-Start Recommendation. - Joseph Chrol-Cannon, Andrew Gilbert, Ranko Lazic, Adithya Madhusoodanan, Frank Guerin:
Human-like Relational Models for Activity Recognition in Video. - Rene Pickhardt, Stefan Richter:
Optimally Reliable & Cheap Payment Flows on the Lightning Network. - Hailong Guo, Xu Yang:
Deep unfitted Nitsche method for elliptic interface problems. - Keisuke Fujii, Naoya Takeishi, Kazushi Tsutsui, Emyo Fujioka, Nozomi Nishiumi, Ryoya Tanaka, Mika Fukushiro, Kaoru Ide, Hiroyoshi Kohno, Ken Yoda, Susumu Takahashi, Shizuko Hiryu, Yoshinobu Kawahara:
Learning interaction rules from multi-animal trajectories via augmented behavioral models. - Yinchuan Li, Xiaofeng Liu, Yunfeng Shao, Qing Wang, Yanhui Geng:
Structured Directional Pruning via Perturbation Orthogonal Projection. - Yinchuan Li, Xiaofeng Liu, Xu Zhang, Yunfeng Shao, Qing Wang, Yanhui Geng:
Personalized Federated Learning via Maximizing Correlation with Sparse and Hierarchical Extensions. - Marc E. Songolo, Brigitte Bidégaray-Fesquet:
Extending nonstandard finite difference schemes rules to systems of nonlinear ODEs with constant coefficients. - Roel Tielen, Matthias Möller, Cornelis Vuik:
Combining p-multigrid and multigrid reduced in time methods to obtain a scalable solver for Isogeometric Analysis. - (Withdrawn) Nonparametric Regression with Shallow Overparameterized Neural Networks Trained by GD with Early Stopping.
- H. J. C. Kroep, Vineet Gokhale, Joseph P. Verburg, R. Venkatesha Prasad:
ETVO: Effectively Measuring Tactile Internet with Experimental Validation. - Jin-Gu Kang, Jin-Woo Jung:
Post Triangular Rewiring Method for Shorter RRT Robot Path Planning. - Muhammad Salman Shaukat, Bjarne Christian Hiller, Sebastian Bader, Thomas Kirste:
SimDem A Multi-agent Simulation Environment to Model Persons with Dementia and their Assistance. - Zhuo Chen, Jiaoyan Chen, Yuxia Geng, Jeff Z. Pan, Zonggang Yuan, Huajun Chen:
Zero-shot Visual Question Answering using Knowledge Graph. - Dong Li, Chaoyu Quan:
On the energy stability of Strang-splitting for Cahn-Hilliard. - Uwe Naumann:
On the Computational Complexity of the Chain Rule of Differential Calculus. - Armend Duzha, Cristiano Casadei, Michael Tosi, Fabio Celli:
Hate versus Politics: Detection of Hate against Policy makers in Italian tweets. - Domonkos Czifra, Endre Csóka, Zsolt Zombori, Géza Makay:
Towards solving the 7-in-a-row game. - Jing Li, Binling Wang, Yiming Zhi, Zheng Li, Lin Li, Qingyang Hong, Dong Wang:
Oriental Language Recognition (OLR) 2020: Summary and Analysis. - Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Bing Han, Lin Zheng, Kai-Xin Gao, Xiaobo Guo:
HCGR: Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendation. - Golsa Heidari, Kamran Zamanifar:
A Three Phase Semantic Web Matchmaker. - Anneke Haga, Carsten Lutz, Leif Sabellek, Frank Wolter:
How to Approximate Ontology-Mediated Queries. - Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang:
On the Evaluation of Commit Message Generation Models: An Experimental Study. - Carsten Wiecher, Jannik Fischbach, Joel Greenyer, Andreas Vogelsang, Carsten Wolff, Roman Dumitrescu:
Integrated and Iterative Requirements Analysis and Test Specification: A Case Study at Kostal. - Dusan Teodorovic, Milos Nikolic:
Measuring scientific output of researchers by t-index and Data Envelopment Analysis. - Tianwen Wei, Jianwei Qi, Shenghuan He:
A Flexible Multi-Task Model for BERT Serving. - Serenella Cerrito:
Tableaux like model checking on-the-fly for ATL+. - Anish Acharya, Rudrajit Das:
DISCO : efficient unsupervised decoding for discrete natural language problems via convex relaxation. - Daniel Devatman Hromada:
Can Evolutionary Computation Help us to Crib the Voynich Manuscript ? - Tomohiro Tanaka, Ryo Masumura, Mana Ihori, Akihiko Takashima, Shota Orihashi, Naoki Makishima:
End-to-End Rich Transcription-Style Automatic Speech Recognition with Semi-Supervised Learning. - Jesse David Dinneen, Helen Bubinger:
Not Quite 'Ask a Librarian': AI on the Nature, Value, and Future of LIS. - Ya Wang, Hesen Chen, Fangyi Zhang, Yaohua Wang, Xiuyu Sun, Ming Lin, Hao Li:
Fine-Grained AutoAugmentation for Multi-Label Classification. - Monika Daryani, James Caverlee:
Identifying Hijacked Reviews. - Olha Kaminska, Chris Cornelis, Véronique Hoste:
Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets. - Jie-Jyun Liu, Tsung-Han Yang, Si-An Chen, Chih-Jen Lin:
Parameter Selection: Why We Should Pay More Attention to It. - Olha Kaminska, Chris Cornelis, Véronique Hoste:
Nearest neighbour approaches for Emotion Detection in Tweets. - David van der Leij, Jasper Binda, Robbert van Dalen, Pieter Vallen, Yaping Luo, Maurício Aniche:
Data-Driven Extract Method Recommendations: A Study at ING. - Aoran Xiao, Jiaxing Huang, Dayan Guan, Fangneng Zhan, Shijian Lu:
SynLiDAR: Learning From Synthetic LiDAR Sequential Point Cloud for Semantic Segmentation. - Ray Jiang, Shangtong Zhang, Veronica Chelu, Adam White, Hado van Hasselt:
Learning Expected Emphatic Traces for Deep RL. - Andrea Banino, Jan Balaguer, Charles Blundell:
PonderNet: Learning to Ponder. - Kieran Waugh, Judy Robertson:
Don't Touch Me! A Comparison of Usability on Touch and Non-Touch Inputs. - Masayuki Tezuka, Yusuke Yoshida, Keisuke Tanaka:
Weakened Random Oracle Models with Target Prefix. - Julian Burella Pérez, Sydney Hauke, Umberto Lupo, Matteo Caorsi, Alberto Dassatti:
Giotto-ph: A Python Library for High-Performance Computation of Persistent Homology of Vietoris-Rips Filtrations. - Alessio Ferrari, Maurice H. ter Beek:
Formal Methods in Railways: a Systematic Mapping Study. - Shuang Wu, Xiaoning Song, Zhen-Hua Feng:
MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition. - Frits W. Vaandrager, Bharat Garhewal, Jurriaan Rot, Thorsten Wißmann:
A New Approach for Active Automata Learning Based on Apartness. - Jacek Gosciniak:
Plasmonic nonvolatile memory crossbar arrays for artificial neural networks. - Xiaohuai Le, Hongsheng Chen, Kai Chen, Jing Lu:
DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement. - Andrea Banino, Adrià Puigdomènech Badia, Jacob C. Walker, Tim Scholtes, Jovana Mitrovic, Charles Blundell:
CoBERL: Contrastive BERT for Reinforcement Learning. - Tara Abrishami, Maria Chudnovsky, Cemil Dibek, Pawel Rzazewski:
Polynomial-time algorithm for Maximum Independent Set in bounded-degree graphs with no long induced claws. - Yipeng Zhang, Tyler L. Hayes, Christopher Kanan:
Disentangling Transfer and Interference in Multi-Domain Learning. - Cian Eastwood, Ian Mason, Christopher K. I. Williams, Bernhard Schölkopf:
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration. - Golsa Heidari, Ahmad Ramadan, Markus Stocker, Sören Auer:
Leveraging a Federation of Knowledge Graphs to Improve Faceted Search in Digital Libraries. - Rajat Koner, Poulami Sinhamahapatra, Volker Tresp:
Scenes and Surroundings: Scene Graph Generation using Relation Transformer. - Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas D. Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister:
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. - Rui Zhang, Swarnendu Biswas, Vignesh Balaji, Michael D. Bond, Brandon Lucia:
Neat: Low-Complexity, Efficient On-Chip Cache Coherence. - Cheng-Kuan Lin, Tzu-Liang Kung, Chun-Nan Hung, Yuan-Hsiang Teng:
A Local Diagnosis Algorithm for Hypercube-like Networks under the BGM Diagnosis Model. - Elliot Anshelevich, Aris Filos-Ratsikas, Alexandros A. Voudouris:
The Distortion of Distributed Metric Social Choice. - Mehdi Amian:
Improving the Algorithm of Deep Learning with Differential Privacy. - Soma Bandyopadhyay, Anish Datta, Arpan Pal:
Automated Label Generation for Time Series Classification with Representation Learning: Reduction of Label Cost for Training. - Sarah Basharat, Syed Ali Hassan, Haris Pervaiz, Aamir Mahmood, Zhiguo Ding, Mikael Gidlund:
Reconfigurable Intelligent Surfaces: Potentials, Applications, and Challenges for 6G Wireless Networks. - Xiaoyan Cao, Yao Yao, Lanqing Li, Wanpeng Zhang, Zhicheng An, Zhong Zhang, Shihui Guo, Li Xiao, Xiaoyu Cao, Dijun Luo:
IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control. - Yixin Liu, Jiaxin Guo, Jieyang Dong, Luoqian Jiang, Haoyuan Ouyang:
Priority prediction of Asian Hornet sighting report using machine learning methods. - Muddassar Hussain, Nicolò Michelusi:
Learning and Adaptation in Millimeter-Wave: a Dual Timescale Variational Framework. - Cees Roele:
WVOQ at SemEval-2021 Task 6: BART for Span Detection and Classification. - Shaoyu Cai, Kening Zhu, Yuki Ban, Takuji Narumi:
Visual-Tactile Cross-Modal Data Generation using Residue-Fusion GAN with Feature-Matching and Perceptual Losses. - Kuan-Chieh Hsu, Hung-Wei Tseng:
GPTPU: Accelerating Applications using Edge Tensor Processing Units. - Zhi Bian, Shaojun Zhou, Hao Fu, Qihong Yang, Zhenqi Sun, Junjie Tang, Guiquan Liu, Kaikui Liu, Xiaolong Li:
Denoising User-aware Memory Network for Recommendation. - Fei Shen, Yi Xie, Jianqing Zhu, Xiaobin Zhu, Huanqiang Zeng:
GiT: Graph Interactive Transformer for Vehicle Re-identification. - Jianyu Cai, Jiajun Chen, Taoxing Pan, Zhanqiu Zhang, Jie Wang:
Technical Report of Team GraphMIRAcles in the WikiKG90M-LSC Track of OGB-LSC @ KDD Cup 2021. - Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler:
Behavior Constraining in Weight Space for Offline Reinforcement Learning. - Jörg Bornschein, Silvia Chiappa, Alan Malek, Nan Rosemary Ke:
Prequential MDL for Causal Structure Learning with Neural Networks. - Bo Zhou, Chi Liu, James S. Duncan:
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth. - Ginno Millán, Gastón Lefranc, Román Osorio-Comparán, V. Lomas-Barrie:
Time Series Analysis of Computer Network Traffic in a Dedicated Link Aggregation. - Andreas Galanis, Heng Guo, Jiaheng Wang:
Inapproximability of counting hypergraph colourings. - Matti Huotari, Shashank Arora, Avleen Malhi, Kary Främling:
Comparing seven methods for state-of-health time series prediction for the lithium-ion battery packs of forklifts. - Bardienus Pieter Duisterhof, Shushuai Li, Javier Burgués, Vijay Janapa Reddi, Guido C. H. E. de Croon:
Sniffy Bug: A Fully Autonomous Swarm of Gas-Seeking Nano Quadcopters in Cluttered Environments. - Nicolas Magaud:
Integrating an Automated Prover for Projective Geometry as a New Tactic in the Coq Proof Assistant. 40-47 - Anup Teejo Mathew, Ikhlas Mohamed Ben Hmida, Costanza Armanini, Frédéric Boyer, Federico Renda:
SoRoSim: a MATLAB Toolbox for Soft Robotics Based on the Geometric Variable-strain Approach. - Sébastien Durost, Guillaume Reich, Jean-Pierre Girard:
Terminologies, mod{è}les de donn{é}es arch{é}ologiques et th{é}saurus documentaires. - Giorgos Karvounas, Nikolaos Kyriazis, Iason Oikonomidis, Aggeliki Tsoli, Antonis A. Argyros:
Multi-view Image-based Hand Geometry Refinement using Differentiable Monte Carlo Ray Tracing. - Kangda Zhi, Cunhua Pan, Hong Ren, Kezhi Wang, Maged Elkashlan:
Reconfigurable Intelligent Surface-Aided MISO Systems with Statistical CSI: Channel Estimation, Analysis and Optimization. - Annika King, Jacob Murri, Jake Callahan, Adrienne Russell, Tyler J. Jarvis:
Mathematical Analysis of Redistricting in Utah. - Sri Raj Paul, Akihiro Hayashi, Kun Chen, Vivek Sarkar:
A Scalable Actor-based Programming System for PGAS Runtimes. - Thomas Bläsius, Tobias Friedrich, Maximilian Katzmann, Daniel Stephan:
Routing in Strongly Hyperbolic Unit Disk Graphs. - Eleni Ilkou, Hasan Abu-Rasheed, MohammadReza Tavakoli, Sherzod Hakimov, Gábor Kismihók, Sören Auer, Wolfgang Nejdl:
EduCOR: An Educational and Career-Oriented Recommendation Ontology. - Febin P. Sunny, Asif Mirza, Mahdi Nikdast, Sudeep Pasricha:
ROBIN: A Robust Optical Binary Neural Network Accelerator. - Ziwei Wang, Yanpei Huang, Xiaoxiao Cheng, Pakorn Uttayopas, Etienne Burdet:
Shared Control for Bimanual Telesurgery with Optimized Robotic Partner. - Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers:
Context-aware virtual adversarial training for anatomically-plausible segmentation. - Yuxiang Zhong, Xianbiao Qi, Shanjun Li, Dengyi Gu, Yihao Chen, Peiyang Ning, Rong Xiao:
1st Place Solution for ICDAR 2021 Competition on Mathematical Formula Detection. - Bolong Zheng, Xi Zhao, Lianggui Weng, Nguyen Quoc Viet Hung, Hang Liu, Christian S. Jensen:
PM-LSH: a fast and accurate in-memory framework for high-dimensional approximate NN and closest pair search. - Abdellatif Zaidi:
Rate-Exponent Region for a Class of Distributed Hypothesis Testing Against Conditional Independence Problems. - Bahram Sadeghi Bigham, Sahar Badri, Nazanin Padkan:
A new metaheuristic approach for the art gallery problem. - Fahim Shahriar Khan, Mueeze Al Mushabbir, Mohammad Sabik Irbaz, Md Abdullah Al Nasim:
End-to-End Natural Language Understanding Pipeline for Bangla Conversational Agents. - Apostolos F. Psaros, Kenji Kawaguchi, George Em Karniadakis:
Meta-learning PINN loss functions. - Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng:
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. - Andrea Valenti, Stefano Berti, Davide Bacciu:
Calliope - A Polyphonic Music Transformer. - Xi Zhang, Xiaolin Wu:
Multi-modality Deep Restoration of Extremely Compressed Face Videos. - Stefan Steinerberger:
Quantile-Based Random Kaczmarz for corrupted linear systems of equations. - Weiya Chen, Jiajia Li, Zixuan Kang:
Research on Metro Service Quality Improvement Schemes Considering Feasibility. - Vipin Kumar Kukkala, Sooryaa Vignesh Thiruloga, Sudeep Pasricha:
LATTE: LSTM Self-Attention based Anomaly Detection in Embedded Automotive Platforms. - Adnan Aijaz:
Infrastructure-less Wireless Connectivity for Mobile Robotic Systems in Logistics: Why Bluetooth Mesh Networking is Important? - Philipp Seifer, Ralf Lämmel, Steffen Staab:
ProGS: Property Graph Shapes Language (Extended Version). - Dmitriy Kunisky, Jonathan Niles-Weed:
Strong recovery of geometric planted matchings. - Mohamed Abdelhamid, Aleksander Czekanski:
On Mesh Deformation Techniques for Topology Optimization of Fluid-Structure Interaction Problems. - Ilias Diakonikolas, Daniel M. Kane, Christos Tzamos:
Forster Decomposition and Learning Halfspaces with Noise. - Yuan Zhou, Yanrong Guo, Shijie Hao, Richang Hong, Zhen junzha, Meng Wang:
Few-shot Learning with Global Relatedness Decoupled-Distillation. - Raef Bassily, Cristóbal Guzmán, Michael Menart:
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings. - Fethiye Irmak Dogan, Gaspar Isaac Melsión, Iolanda Leite:
Leveraging Explainability for Comprehending Referring Expressions in the Real World. - Johannes J. Brust:
Nonlinear Least Squares for Large-Scale Machine Learning using Stochastic Jacobian Estimates. - Terence Broad, Sebastian Berns, Simon Colton, Mick Grierson:
Active Divergence with Generative Deep Learning - A Survey and Taxonomy. - Rohit Dube:
Understanding the Communist Party of China's Information Operations. - Ann Lee, Peng-Jen Chen, Changhan Wang, Jiatao Gu, Xutai Ma, Adam Polyak, Yossi Adi, Qing He, Yun Tang, Juan Miguel Pino, Wei-Ning Hsu:
Direct speech-to-speech translation with discrete units. - Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin:
Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning. - Valts Blukis, Chris Paxton, Dieter Fox, Animesh Garg, Yoav Artzi:
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution. - Delyan Z. Kalchev, Panayot S. Vassilevski, Umberto Villa:
Parallel Element-based Algebraic Multigrid for H(curl) and H(div) Problems Using the ParELAG Library. - Simon Le Cleac'h, Taylor A. Howell, Mac Schwager, Zachary Manchester:
Linear Contact-Implicit Model-Predictive Control. - Alina Roitberg, David Schneider, Aulia Djamal, Constantin Seibold, Simon Reiß, Rainer Stiefelhagen:
Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games. - Shivam Chandhok, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Vineeth N. Balasubramanian, Fahad Shahbaz Khan, Ling Shao:
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains. - Yi-Wen Chen, Yi-Hsuan Tsai, Ming-Hsuan Yang:
End-to-end Multi-modal Video Temporal Grounding. - Xin Zhi, Weibang Bai, Eric M. Yeatman:
Kinematic Parameter Optimization of a Miniaturized Surgical Instrument Based on Dexterous Workspace Determination. - Shikhar Bahl, Abhinav Gupta, Deepak Pathak:
Hierarchical Neural Dynamic Policies. - Ali Salehi, Madhusudhanan Balasubramanian:
DDCNet-Multires: Effective Receptive Field Guided Multiresolution CNN for Dense Prediction. - Chenglin Yang, Siyuan Qiao, Adam Kortylewski, Alan L. Yuille:
Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms. - Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah:
Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using Multi-agent Advantage Actor-Critic. - Ramesh Kumar Sah, Hassan Ghasemzadeh:
Stress Classification and Personalization: Getting the most out of the least. - Rajesh Jayaram, Alireza Samadian, David P. Woodruff, Peng Ye:
In-Database Regression in Input Sparsity Time. - Rodrigo Castellon, Chris Donahue, Percy Liang:
Codified audio language modeling learns useful representations for music information retrieval. - Marieke Huisman, Raúl E. Monti:
Teaching Design by Contract using Snap! - Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John M. Pauly, Morteza Mardani, Mert Pilanci:
Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions. - Charitha Saumya, Kirshanthan Sundararajah, Milind Kulkarni:
CFM: SIMT Thread Divergence Reduction by Melding Similar Control-Flow Regions in GPGPU Programs. - Angelica Lourenço Oliveira, Marcos Eduardo Valle:
Least-Squares Linear Dilation-Erosion Regressor Trained using Stochastic Descent Gradient or the Difference of Convex Methods. - Evan M. Williams, Paul Rodrigues, Sieu Tran:
Accenture at CheckThat! 2021: Interesting claim identification and ranking with contextually sensitive lexical training data augmentation. - Andrea Dittadi, Frederik Träuble, Manuel Wüthrich, Felix Widmaier, Peter V. Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer:
Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning. - Christopher Schröder, Andreas Niekler, Martin Potthast:
Uncertainty-based Query Strategies for Active Learning with Transformers. - Zihan Tan, Yifeng Teng, Mingfei Zhao:
Worst-Case Welfare of Item Pricing in the Tollbooth Problem. - Andrea Coladangelo, Jiahui Liu, Qipeng Liu, Mark Zhandry:
Hidden Cosets and Applications to Unclonable Cryptography. - Mitchell Naylor, Christi French, Samantha Terker, Uday Kamath:
Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff. - Hao Zhu, Graham Neubig, Yonatan Bisk:
Few-shot Language Coordination by Modeling Theory of Mind. - Jian Wang, Miaomiao Zhang:
Bayesian Atlas Building with Hierarchical Priors for Subject-specific Regularization. - Roni Con, Amir Shpilka, Itzhak Tamo:
Linear and Reed Solomon Codes Against Adversarial Insertions and Deletions. - Jugal Garg, Yixin Tao, László A. Végh:
Approximating Equilibrium under Constrained Piecewise Linear Concave Utilities with Applications to Matching Markets. - Reuben Binns, Reuben Kirkham:
How Could Equality and Data Protection Law Shape AI Fairness for People with Disabilities? - Sumudu Herath, Xiao Xiao, Fehmi Cirak:
Computational modelling and data-driven homogenisation of knitted membranes. - Iryna Korshunova, David Stutz, Alexander A. Alemi, Olivia Wiles, Sven Gowal:
A Closer Look at the Adversarial Robustness of Information Bottleneck Models. - Manuel Cáceres, Massimo Cairo, Brendan Mumey, Romeo Rizzi, Alexandru I. Tomescu:
Sparsifying, Shrinking and Splicing for Minimum Path Cover in Parameterized Linear Time. - Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant:
SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking. - Reza Khanmohammadi, Mitra Sadat Mirshafiee, Mehdi Allahyari:
COPER: a Query-adaptable Semantics-based Search Engine for Persian COVID-19 Articles. - Mirjeta Pasha, Arvind K. Saibaba, Silvia Gazzola, Malena I. Español, Eric de Sturler:
Efficient edge-preserving methods for dynamic inverse problems. - Saeedeh Parsaeefard, Alberto Leon-Garcia:
Toward Efficient Transfer Learning in 6G. - Yicheng Fei, Xaq Pitkow:
Generalization of graph network inferences in higher-order probabilistic graphical models. - M. M. H. Dihyat, K. Malik, M. A. Khan, B. Imran:
Detecting Ideal Instagram Influencer Using Social Network Analysis. - Darshan Gera, S. Balasubramanian:
Affect Expression Behaviour Analysis in the Wild using Consensual Collaborative Training. - Golsa Heidari, Ahmad Ramadan, Markus Stocker, Sören Auer:
Demonstration of Faceted Search on Scholarly Knowledge Graphs. - Dylan J. Foster, Claudio Gentile, Mehryar Mohri, Julian Zimmert:
Adapting to Misspecification in Contextual Bandits. - Thomas Chen, Xi Chen, Binghui Peng, Mihalis Yannakakis:
Computational Hardness of the Hylland-Zeckhauser Scheme. - Timoleon Moraitis, Dmitry Toichkin, Yansong Chua, Qinghai Guo:
SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks. - Joel Hwee, Andrew Lewis, Allison Raines, Blake Hannaford:
Evaluation of an Inflated Beam Model Applied to Everted Tubes. - Malte Möser, Arvind Narayanan:
Resurrecting Address Clustering in Bitcoin. - Dariusz Dereniowski, Aleksander Lukasiewicz, Przemyslaw Uznanski:
Noisy searching: simple, fast and correct. - Andrei Ilie, Marius Popescu, Alin Stefanescu:
EvoBA: An Evolution Strategy as a Strong Baseline forBlack-Box Adversarial Attacks. - Salah U. Kadir, Subir Majumder, Ajay Dev Chhokra, Abhishek Dubey, Himanshu Neema, Aron Laszka, Anurag K. Srivastava:
Reinforcement Learning based Proactive Control for Transmission Grid Resilience to Wildfire. - Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees G. M. Snoek:
Kernel Continual Learning. - Keping Bi, Qingyao Ai, W. Bruce Croft:
Asking Clarifying Questions Based on Negative Feedback in Conversational Search. - Ian Briggs, Pavel Panchekha:
Faster Math Functions, Soundly. - Keegan Harris, Dung Daniel T. Ngo, Logan Stapleton, Hoda Heidari, Zhiwei Steven Wu:
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses. - Hongyu Ren, Hanjun Dai, Zihang Dai, Mengjiao Yang, Jure Leskovec, Dale Schuurmans, Bo Dai:
Combiner: Full Attention Transformer with Sparse Computation Cost. - Kenneth Duru, Siyang Wang, Kenny Wiratama:
A conservative and energy stable discontinuous spectral element method for the shifted wave equation in second order form. - Krzysztof Michalik, Krzysztof Turowski:
On λ-backbone coloring of cliques with tree backbones in linear time. - Mahyar Shirvanimoghaddam:
Primitive Rateless Codes. - Pengsheng Guo, Miguel Ángel Bautista, Alex Colburn, Liang Yang, Daniel Ulbricht, Joshua M. Susskind, Qi Shan:
Fast and Explicit Neural View Synthesis. - Bryce A. Primavera, Jeffrey M. Shainline:
An active dendritic tree can mitigate fan-in limitations in superconducting neurons. - Isabella Huang, Yashraj S. Narang, Clemens Eppner, Balakumar Sundaralingam, Miles Macklin, Tucker Hermans, Dieter Fox:
DefGraspSim: Simulation-based grasping of 3D deformable objects. - Anouar Kherchouche, Sid Ahmed Fezza, Wassim Hamidouche:
Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising. - Yun Tang, Juan Miguel Pino, Xian Li, Changhan Wang, Dmitriy Genzel:
Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task. - Franklin Mingzhe Li, Jamie Dorst, Peter Cederberg, Patrick Carrington:
Non-Visual Cooking: Exploring Practices and Challenges of Meal Preparation by People with Visual Impairments. - Oliver Flatt, Pavel Panchekha:
An Interval Arithmetic for Robust Error Estimation. - Q. Tyrell Davis:
Carle's Game: An Open-Ended Challenge in Exploratory Machine Creativity. - Dimitris Papadimitriou, Swayambhoo Jain:
Data-Driven Low-Rank Neural Network Compression. - Shivin Devgon, Jeffrey Ichnowski, Michael Danielczuk, Daniel S. Brown, Ashwin Balakrishna, Shirin Joshi, Eduardo M. C. Rocha, Eugen Solowjow, Ken Goldberg:
Kit-Net: Self-Supervised Learning to Kit Novel 3D Objects into Novel 3D Cavities. - Shuyang Sun, Xiaoyu Yue, Song Bai, Philip H. S. Torr:
Visual Parser: Representing Part-whole Hierarchies with Transformers. - Hunza Zainab, Giorgio Audrito, Soura Dasgupta, Jacob Beal:
Monotonic Filtering for Distributed Collection. - Fernando Kamei, Gustavo Pinto, Igor Wiese, Márcio Ribeiro, Sérgio Soares:
What Evidence We Would Miss If We Do Not Use Grey Literature? - S. M. Ferdous, Alex Pothen, Arif Khan, Ajay Panyala, Mahantesh Halappanavar:
A Parallel Approximation Algorithm for Maximizing Submodular b-Matching. - Haotian Wang, Feng Luo, Jie Gao:
Co-evolution of Opinion and Social Tie Dynamics Towards Structural Balance. - Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara:
Cautious Policy Programming: Exploiting KL Regularization in Monotonic Policy Improvement for Reinforcement Learning. - Jiajie Zou, Nai Ding:
Deep Neural Networks Evolve Human-like Attention Distribution during Reading Comprehension. - Brett W. Larsen, Stanislav Fort, Nic Becker, Surya Ganguli:
How many degrees of freedom do we need to train deep networks: a loss landscape perspective. - Solomon Gudeta, Ali Karimoddini:
Design of a Smooth Landing Trajectory Tracking System for a Fixed-wing Aircraft. - Zhongzhan Huang, Mingfu Liang, Senwei Liang, Wei He:
AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training. - Amit Chakrabarti, Manuel Stoeckl:
The Element Extraction Problem and the Cost of Determinism and Limited Adaptivity in Linear Queries. - Jinhyun Choo, Yidong Zhao, Yupeng Jiang, Minchen Li, Chenfanfu Jiang, Kenichi Soga:
A barrier method for frictional contact on embedded interfaces. - Abolfazl Karimi, Manish Goyal, Parasara Sridhar Duggirala:
Safety and progress proofs for a reactive planner and controller for autonomous driving. - Kenneth D. Bogert, Prashant Doshi:
A Hierarchical Bayesian model for Inverse RL in Partially-Controlled Environments. - Jiabao Cui, Pengyi Zhang, Songyuan Li, Liangli Zheng, Cuizhu Bao, Jupeng Xia, Xi Li:
Multitask Identity-Aware Image Steganography via Minimax Optimization. - Chenqi Kong, Baoliang Chen, Haoliang Li, Shiqi Wang, Anderson Rocha, Sam Kwong:
Detect and Locate: A Face Anti-Manipulation Approach with Semantic and Noise-level Supervision. - Jian Li, Daogao Liu:
Markov Game with Switching Costs. - Lin Shi, Xiao Chen, Ye Yang, Hanzhi Jiang, Ziyou Jiang, Nan Niu, Qing Wang:
A First Look at Developers' Live Chat on Gitter. - March Boedihardjo, Thomas Strohmer, Roman Vershynin:
Covariance's Loss is Privacy's Gain: Computationally Efficient, Private and Accurate Synthetic Data. - Ruohan Zhang, Faraz Torabi, Garrett Warnell, Peter Stone:
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks. - Hawzhin Mohammed, Tolulope A. Odetola, Nan Guo, Syed Rafay Hasan:
Dynamic Distribution of Edge Intelligence at the Node Level for Internet of Things. - Frenk C. J. van Mil, Ayushi Rastogi, Andy Zaidman:
Promises and Perils of Inferring Personality on GitHub. - Rongkai Zhang, Lanqing Guo, Siyu Huang, Bihan Wen:
ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement. - Nitish Gupta, Sameer Singh, Matt Gardner:
Enforcing Consistency in Weakly Supervised Semantic Parsing. - Zudi Lin, Donglai Wei, Mariela D. Petkova, Yuelong Wu, Zergham Ahmed, Krishna Swaroop K, Silin Zou, Nils Wendt, Jonathan Boulanger-Weill, Xueying Wang, Nagaraju Dhanyasi, Ignacio Arganda-Carreras, Florian Engert, Jeff Lichtman, Hanspeter Pfister:
NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale. - Takayuki Osa:
Motion Planning by Learning the Solution Manifold in Trajectory Optimization. - Angeline Aguinaldo, William Regli:
Encoding Compositionality in Classical Planning Solutions. - Jun Mao, Lilian Zhang, Xiaofeng He, Hao Qu, Xiaoping Hu:
Precise Visual-Inertial Localization for UAV with the Aid of A 2D Georeferenced Map. - Chiheon Kim, Saehoon Kim, Jongmin Kim, Donghoon Lee, Sungwoong Kim:
Automated Learning Rate Scheduler for Large-batch Training. - Jiangbo Yuan, An-Ti Chiang, Wen Tang, Antonio Haro:
eProduct: A Million-Scale Visual Search Benchmark to Address Product Recognition Challenges. - Jie Xu, Andrew Spielberg, Allan Zhao, Daniela Rus, Wojciech Matusik:
Multi-Objective Graph Heuristic Search for Terrestrial Robot Design. - Lidia Aceto, Paolo Novati:
Exponentially convergent trapezoidal rules to approximate fractional powers of operators. - Aldar C.-F. Chan, Jianying Zhou:
Toward Safe Integration of Legacy SCADA Systems in the Smart Grid. - Shuang Peng, Mengdi Zhou, Minghui Yang, Haitao Mi, Shaosheng Cao, Zujie Wen, Teng Xu, Hongbin Wang, Lei Liu:
A Dialogue-based Information Extraction System for Medical Insurance Assessment. - Aldar C.-F. Chan, Raymond M. H. Chung:
Security and Privacy of Wireless Beacon Systems. - Weiqing Min, Chunlin Liu, Shuqiang Jiang:
Towards Building a Food Knowledge Graph for Internet of Food. - Frédéric Lardeux, Éric Monfroy:
GA and ILS for optimizing the size of NFA models. - Vera L. J. Somers, Ian R. Manchester:
Minimizing the Risk of Spreading Processes via Surveillance Schedules and Sparse Control. - Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin:
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. - Chao Feng, Shi-jie We:
Exploiting Network Structures to Improve Semantic Representation for the Financial Domain. - Albert Atserias, Víctor Dalmau:
Promise Constraint Satisfaction and Width. - Eslam Mohamed, Ahmad El Sallab:
ST-DETR: Spatio-Temporal Object Traces Attention Detection Transformer. - Antonio Boccuto, Ivan Gerace, Valentina Giorgetti, Federico Greco:
Gamma-matrices: a new class of simultaneously diagonalizable matrices. - Aihua Mao, Zihui Du, Junhui Hou, Yaqi Duan, Yong-Jin Liu, Ying He:
PU-Flow: a Point Cloud Upsampling Networkwith Normalizing Flows. - Eric Fiege, Salima Houta, Pinar Bisgin, Rainer Surges, Falk Howar:
Automatic Seizure Detection Using the Pulse Transit Time. - Takashi Maekaku, Xuankai Chang, Yuya Fujita, Li-Wei Chen, Shinji Watanabe, Alexander I. Rudnicky:
Speech Representation Learning Combining Conformer CPC with Deep Cluster for the ZeroSpeech Challenge 2021. - Frank Nielsen:
Fast approximations of the Jeffreys divergence between univariate Gaussian mixture models via exponential polynomial densities. - Qirong Mao, Ling Zhou, Wenming Zheng, Xiuyan Shao, Xiaohua Huang:
Region attention and graph embedding network for occlusion objective class-based micro-expression recognition. - Shengqiang Li, Menglong Xu, Xiao-Lei Zhang:
Conformer-based End-to-end Speech Recognition With Rotary Position Embedding. - Zhuangbin Chen, Jinyang Liu, Wenwei Gu, Yuxin Su, Michael R. Lyu:
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection. - Yang Liu, Yatong Chen, Jiaheng Wei:
Induced Domain Adaptation. - Yang Liu, Jialu Wang:
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial. - Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music. - Chuanqiang Shan, Huiyun Jiao, Jie Fu:
Towards Representation Identical Privacy-Preserving Graph Neural Network via Split Learning. - Keita Suzuki, Koji Nuida:
An Improvement of a Key Exchange Protocol Relying on Polynomial Maps. - Jiequan Li, Qinglong Zhang:
One-sided GRP Solver and Numerical Boundary Conditions for compressible fluid flows. - Nicole Schrader, Sebastian Siebertz, Alexandre Vigny:
First-Order Logic with Connectivity Operators. - Gregory Filbrandt, Konstantinos Kamnitsas, David Bernstein, Alexandra Taylor, Ben Glocker:
Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift. - Konrad Yuri Gbur, Florian Tschorsch:
A QUIC(K) Way Through Your Firewall? - Irma van den Brandt, Floris Fok, Bas Mulders, Joaquin Vanschoren, Veronika Cheplygina:
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification. - Junhyung Kim, Byungyoon Park, Charmgil Hong:
Multi-Scale Label Relation Learning for Multi-Label Classification Using 1-Dimensional Convolutional Neural Networks. - Suranjan Goswami, Satish Kumar Singh, Bidyut B. Chaudhuri:
A Novel Deep Learning Method for Thermal to Annotated Thermal-Optical Fused Images. - Gaëtan Hadjeres, Léopold Crestel:
The Piano Inpainting Application. - Tao Sheng, Jie Chen, Zhouhui Lian:
CentripetalText: An Efficient Text Instance Representation for Scene Text Detection. - Guowen Zhang, Pingping Zhang, Jinqing Qi, Huchuan Lu:
HAT: Hierarchical Aggregation Transformers for Person Re-identification. - Qinglin Li, Bin Li, Jonathan M. Garibaldi, Guoping Qiu:
On Designing Good Representation Learning Models. - Hamed Rahimi, Iago Felipe Trentin, Fano Ramparany, Olivier Boissier:
Q-SMASH: Q-Learning-based Self-Adaptation of Human-Centered Internet of Things. - Lu Tang, Qun Huang, Patrick P. C. Lee:
MVPipe: Enabling Lightweight Updates and Fast Convergence in Hierarchical Heavy Hitter Detection. - Adrian-Alexandru Cucolas, Daniel Russo:
The Impact of Working From Home on the Success of Scrum Projects: A Multi-Method Study. - Ulrike Bath, Sumit Shekhar, Jürgen Döllner, Matthias Trapp:
COLiER: Collaborative Editing of Raster Images. - Yonatan Urman, Guy Mogilevsky, David Burshtein:
Efficient Belief Propagation List Ordered Statistics Decoding of Polar Codes. - Chen Feng, Hui-Ming Wang:
Secure Short-Packet Communications at the Physical Layer for 5G and Beyond. - Caroline Brosse, Vincent Limouzy, Arnaud Mary:
Polynomial delay algorithm for minimal chordal completions. - Umang Bhatt, Isabel Chien, Muhammad Bilal Zafar, Adrian Weller:
DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement. - Liam Jordon, Philippe Moser:
Normal Sequences with Non Maximal Automatic Complexity. - Nishtha Jain, Maja Popovic, Declan Groves, Eva Vanmassenhove:
Generating Gender Augmented Data for NLP. - Marwan Dhuheir, Abdullatif Albaseer, Emna Baccour, Aiman Erbad, Mohamed M. Abdallah, Mounir Hamdi:
Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey. - Shiqing Wu, Weihua Li, Hao Shen, Quan Bai:
Identifying Influential Users in Unknown Social Networks for Adaptive Incentive Allocation Under Budget Restriction. - Sebastian Pölsterl, Christina Aigner, Christian Wachinger:
Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data. - Zhongliang Jiang, Hanyu Wang, Zhenyu Li, Matthias Grimm, Mingchuan Zhou, Ulrich Eck, Sandra V. Brecht, Tim C. Lueth, Thomas Wendler, Nassir Navab:
Motion-Aware Robotic 3D Ultrasound. - Niloofar Gholipour, Ehsan Arianyan, Rajkumar Buyya:
Recent Advances in Energy Efficient Resource Management Techniques in Cloud Computing Environments. - Artyom Lobanov, Timofey Bryksin, Alexey Shpilman:
Automatic Classification of Error Types in Solutions to Programming Assignments at Online Learning Platform. - Tu Anh Dinh:
Zero-shot Speech Translation. - Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf:
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation. - Steven Van Vaerenbergh, Adrián Pérez-Suay:
A Classification of Artificial Intelligence Systems for Mathematics Education. - Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie:
This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces. - Johannes Hirn, José Enrique García, Alicia Montesinos-Navarro, Ricardo Sanchez-Martín, Verónica Sanz, Miguel Verdú:
A Deep Generative Artificial Intelligence system to decipher species coexistence patterns. - Stefan Marksteiner, Peter Priller:
A Model-Driven Methodology for Automotive Cybersecurity Test Case Generation. - Alberto Barbado, Óscar Corcho:
Vehicle Fuel Optimization Under Real-World Driving Conditions: An Explainable Artificial Intelligence Approach. - Walter Boscheri, Simone Chiocchetti, Ilya Peshkov:
A cell-centered implicit-explicit Lagrangian scheme for a unified model of nonlinear continuum mechanics on unstructured meshes. - Han Yuan, Feng Xie, Marcus Eng Hock Ong, Yilin Ning, Marcel Lucas Chee, Seyed Ehsan Saffari, Hairil Rizal Abdullah, Benjamin Alan Goldstein, Bibhas Chakraborty, Nan Liu:
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data. - Mohammadhossein Ghahramani, Nadina J. Galle, Carlo Ratti, Francesco Pilla:
Tales of a City: Sentiment Analysis of Urban Green Space in Dublin. - Raoul Koudijs:
Finite Model Property and Bisimulation for LFD. - Eric Hayden Campbell, Michael Greenberg:
Injecting Finiteness to Prove Completeness for Finite Linear Temporal Logic. - Xue Liu, Dan Sun, Wei Wei:
A Graph Data Augmentation Strategy with Entropy Preserving. - Xian Zhang, Xiaobing Guo, Zixuan Zeng, Wenyan Liu, Zhongxin Guo, Yang Chen, Shuo Chen, Qiufeng Yin, Mao Yang, Lidong Zhou:
Argus: A Fully Transparent Incentive System for Anti-Piracy Campaigns (Extended Version). - Guangjie Leng, Yekun Zhu, Zhi-Qin John Xu:
Force-in-domain GAN inversion. - Guojun Wu:
Rating Facts under Coarse-to-fine Regimes. - Maxime Buron, Marie-Laure Mugnier, Michaël Thomazo:
Parallelisable Existential Rules: a Story of Pieces. - Arianna Bisazza, Ahmet Üstün, Stephan Sportel:
On the Difficulty of Translating Free-Order Case-Marking Languages. - Prathamesh Kalamkar, Janani Venugopalan, Vivek Raghavan:
Indian Legal NLP Benchmarks : A Survey. - Miguel Paredes Quiñones, Maciel Zortea, Leonardo S. A. Martins:
Fast-Slow Streamflow Model Using Mass-Conserving LSTM. - Mohammad J. Salariseddigh, Uzi Pereg, Holger Boche, Christian Deppe, Robert Schober:
Deterministic Identification Over Poisson Channels. - Atreya Majumdar, Marc Bocquet, Tifenn Hirtzlin, Axel Laborieux, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
Model of the Weak Reset Process in HfOx Resistive Memory for Deep Learning Frameworks. - Dirk Riehle, Nikolay Harutyunyan, Ann Barcomb:
Pattern Discovery and Validation Using Scientific Research Methods. - Eduardo Mizraji:
Generalized "Square roots of Not" matrices, their application to the unveiling of hidden logical operators and to the definition of fully matrix circular Euler functions. - Jonas Busk, Peter Bjørn Jørgensen, Arghya Bhowmik, Mikkel N. Schmidt, Ole Winther, Tejs Vegge:
Calibrated Uncertainty for Molecular Property Prediction using Ensembles of Message Passing Neural Networks. - Dorien Herremans:
aiSTROM - A roadmap for developing a successful AI strategy. - Surender V. Raj, Manish Kumar, Udit Bhatia:
Fragility curves for power transmission towers in Odisha, India, based on observed damage during 2019 Cyclone Fani. - Pratyuksh Bansal:
Numerical approximation of statistical solutions of the incompressible Navier-Stokes Equations. - Chikara Nakamura:
On Choice of Hyper-parameter in Extreme Value Theory based on Machine Learning Techniques. - Giovanni Casini, Umberto Straccia:
A Rational Entailment for Expressive Description Logics via Description Logic Programs. - Jiahui Chen, Joe Breen, Jeff M. Phillips, Jacobus E. van der Merwe:
Practical and Configurable Network Traffic Classification Using Probabilistic Machine Learning. - Kamran Zamanifar, Golsa Heidari, Naser Nematbakhsh, Farhad Mardookhi:
A New Approach for Semantic Web Matching. - Florian Gallay, Yliès Falcone:
Decentralized LTL Enforcement. 135-151 - Itzel Vázquez Sandoval, Arash Atashpendar, Gabriele Lenzini, Peter Y. A. Ryan:
PakeMail: authentication and key management in decentralized secure email and messaging via PAKE. - Eric Yanchenko, Srijan Sengupta:
A model-agnostic hypothesis test for community structure and homophily in networks. - Patrick Krane, Austin L. Nash, Davide Ziviani, James E. Braun, Amy M. Marconnet, Neera Jain:
Dynamic Modeling and Control of a Two-Reactor Metal Hydride Energy Storage System. - Yi Li, Asieh Ahani, Haimao Zhan, Kevin Foley, Thayer Alshaabi, Kelsey Linnell, Peter Sheridan Dodds, Christopher M. Danforth, Adam Fox:
Blending search queries with social media data to improve forecasts of economic indicators. - Mike A. Merrill, Tim Althoff:
Transformer-Based Behavioral Representation Learning Enables Transfer Learning for Mobile Sensing in Small Datasets. - Sumedha Singla, Stephen Wallace, Sofia Triantafillou, Kayhan Batmanghelich:
Using Causal Analysis for Conceptual Deep Learning Explanation. - Omer Aydin:
Secure Charging and Payment System for Electric Land Vehicles with Authentication Protocol. - Yecheng Jason Ma, Dinesh Jayaraman, Osbert Bastani:
Conservative Offline Distributional Reinforcement Learning. - Franz Poeschel, Juncheng E, William F. Godoy, Norbert Podhorszki, Scott Klasky, Greg Eisenhauer, Philip E. Davis, Lipeng Wan, Ana Gainaru, Junmin Gu, Fabian Koller, René Widera, Michael Bussmann, Axel Huebl:
Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2. - Falko Hegerfeld, Stefan Kratsch:
Towards exact structural thresholds for parameterized complexity. - Renshan Zhang, Yongyang Hu, Kuang Zhao, Su Cao:
A Novel Dual Quaternion Based Dynamic Motion Primitives for Acrobatic Flight. - Jeroen van Wier:
On SDVS Sender Privacy In The Multi-Party Setting. - Nils Vortmeier, Ioannis Kokkinis:
The Dynamic Complexity of Acyclic Hypergraph Homomorphisms. - Sourya Dipta Das, Nisarg A. Shah, Saikat Dutta:
MSR-Net: Multi-Scale Relighting Network for One-to-One Relighting. - Jiangeng Chang, Shaoze Cui, Mengling Feng:
DiCOVA-Net: Diagnosing COVID-19 using Acoustics based on Deep Residual Network for the DiCOVA Challenge 2021. - Vittorio Cortellessa, Daniele Di Pompeo, Vincenzo Stoico, Michele Tucci:
On the impact of Performance Antipatterns in multi-objective software model refactoring optimization. - Tao Sheng, Zhouhui Lian:
Bidirectional Regression for Arbitrary-Shaped Text Detection. - Raphael Sulzer, Loïc Landrieu, Renaud Marlet, Bruno Vallet:
Scalable Surface Reconstruction with Delaunay-Graph Neural Networks. - Gabriel Kronberger, Lukas Kammerer, Michael Kommenda:
Identification of Dynamical Systems using Symbolic Regression. - Antonio Di Pilato, Nicolò Taggio, Alexis Pompili, Michele Iacobellis, Adriano Di Florio, Davide Passarelli, Sergio Samarelli:
Deep learning approaches to Earth Observation change detection. - Jacques Chabin, Mírian Halfeld Ferrari, Béatrice Markhoff, Thanh Binh Nguyen:
Querying Linked Data: how to ensure user's quality requirements. - Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters:
Efficient and Reactive Planning for High Speed Robot Air Hockey. - Yuqiang Wu:
Error Processing of Sparse Identification of Nonlinear Dynamical Systems via L∞ Approximation. - Carl Corea, Michael Fellmann, Patrick Delfmann:
Ontology-Based Process Modelling - Will we live to see it? - Haocheng Ren, Hao Zhang, Jia Zheng, Jiaxiang Zheng, Rui Tang, Rui Wang, Hujun Bao:
MINERVAS: Massive INterior EnviRonments VirtuAl Synthesis. - Paolo Pistone:
From Identity to Difference: A Quantitative Interpretation of the Identity Type. - Chaofan Zhang, Guoshan Zhang, Qi Dong:
Adaptive dynamic programming-based adaptive-gain sliding mode tracking control for fixed-wing UAV with disturbances. - Edwin J. Beggs, John V. Tucker:
A model of systems with modes and mode transitions. - Shuhao Cui, Shuhui Wang, Junbao Zhuo, Liang Li, Qingming Huang, Qi Tian:
Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation. - Hari Krishna Vydana, Martin Karafiát, Lukás Burget, Honza Cernocký:
The IWSLT 2021 BUT Speech Translation Systems. - Uma Girish, Justin Holmgren, Kunal Mittal, Ran Raz, Wei Zhan:
Parallel Repetition for the GHZ Game: A Simpler Proof. - Mehdi Ben Amor, Julian Stier, Michael Granitzer:
Correlation Analysis between the Robustness of Sparse Neural Networks and their Random Hidden Structural Priors. - Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev:
3D Parametric Wireframe Extraction Based on Distance Fields. - Hao Huang, Zeyu Mao, Varuneswara Panyam, Astrid Layton, Katherine R. Davis:
An Ecological Robustness-Oriented Approach for Power System Network Expansion. - Md Amimul Ehsan:
Predictive models for wind speed using artificial intelligence and copula. - Xianping Du, Binhui Jiang, Feng Zhu:
A new method for vehicle system safety design based on data mining with uncertainty modeling. - Mai Lan Ha, Volker Blanz:
Deep Ranking with Adaptive Margin Triplet Loss. - Cedrik Schüler, Benjamin Sliwa, Christian Wietfeld:
Towards Machine Learning-Enabled Context Adaption for Reliable Aerial Mesh Routing. - Hammad Zafar, Zoran Utkovski, Martin Kasparick, Slawomir Stanczak:
Transfer Learning in Multi-Agent Reinforcement Learning with Double Q-Networks for Distributed Resource Sharing in V2X Communication. - Soumya Basu, Branislav Kveton, Manzil Zaheer, Csaba Szepesvári:
No Regrets for Learning the Prior in Bandits. - Abdelhak Lemkhenter, Adam Bielski, Alp Eren Sari, Paolo Favaro:
Generative Adversarial Learning via Kernel Density Discrimination. - Eda Oktay, Erin C. Carson:
Multistage Mixed Precision Iterative Refinement. - Shruti Priya, Shubhankar Bhadra, Sridhar Chimalakonda:
ML-Quest: A Game for Introducing Machine Learning Concepts to K-12 Students. - Alexander Scheinker:
Adaptive Machine Learning for Time-Varying Systems: Low Dimensional Latent Space Tuning. - Mai Lan Ha, Gianni Franchi, Emanuel Aldea, Volker Blanz:
Learning a Discriminant Latent Space with Neural Discriminant Analysis. - Bharadwaj Manda, Shubham Dhayarkar, Sai Mitheran, V. K. Viekash, Ramanathan Muthuganapathy:
'CADSketchNet' - An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks. - Anupam Gupta, Amit Kumar, Sahil Singla:
Bag-of-Tasks Scheduling on Related Machines. - Mohamed Ishmael Belghazi, David Lopez-Paz:
What classifiers know what they don't? - Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu:
Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization. - Masatoshi Uehara, Wen Sun:
Pessimistic Model-based Offline RL: PAC Bounds and Posterior Sampling under Partial Coverage. - Carlos Hernandez-Olivan, José Ramón Beltrán:
Timbre Classification of Musical Instruments with a Deep Learning Multi-Head Attention-Based Model. - Konrad Majewski, Michal Pilipczuk, Marek Sokolowski:
Maintaining CMSO2 properties on dynamic structures with bounded feedback vertex number. - Fabrizio J. Piva, Gijs Dubbelman:
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation. - Éric Colin de Verdière, Thomas Magnard:
An FPT algorithm for the embeddability of graphs into two-dimensional simplicial complexes. - Ren Li, Meng Zheng, Srikrishna Karanam, Terrence Chen, Ziyan Wu:
Everybody Is Unique: Towards Unbiased Human Mesh Recovery. - Kadir Gümüs, Laurent Schmalen:
Low Rate Protograph-Based LDPC Codes for Continuous Variable Quantum Key Distribution. - Moniba Keymanesh, Tanya Y. Berger-Wolf, Micha Elsner, Srinivasan Parthasarathy:
Fairness-aware Summarization for Justified Decision-Making. - Alina Karakanta, Marco Gaido, Matteo Negri, Marco Turchi:
Between Flexibility and Consistency: Joint Generation of Captions and Subtitles. - Gunjan Aggarwal, Devi Parikh:
Dance2Music: Automatic Dance-driven Music Generation. - Anders Miltner, Adrian Trejo Nuñez, Ana Brendel, Swarat Chaudhuri, Isil Dillig:
Bottom-up Synthesis of Recursive Functional Programs using Angelic Execution. - Min Jin Chong, Wen-Sheng Chu, Abhishek Kumar, David A. Forsyth:
Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval. - Daniel Wilson, Thayer Alshaabi, Colin Michael Van Oort, Xiaohan Zhang, Jonathan Nelson, Safwan Wshah:
Object Tracking and Geo-localization from Street Images. - Wenshuo Guo, Michael I. Jordan, Manolis Zampetakis:
Robust Learning of Optimal Auctions. - Runsheng Xu, Yi Guo, Xu Han, Xin Xia, Hao Xiang, Jiaqi Ma:
OpenCDA: An Open Cooperative Driving Automation Framework Integrated with Co-Simulation. - Lin Chen, Liangde Tao, José Verschae:
Tight running times for minimum 𝓁p-norm load balancing: beyond exponential dependencies on 1/ε. - Qingyuan Zheng, Zhuoru Li, Adam Bargteil:
Learning Aesthetic Layouts via Visual Guidance. - Jianyuan Guo, Kai Han, Han Wu, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang:
CMT: Convolutional Neural Networks Meet Vision Transformers. - Zhenyi He, Ruofei Du, Ken Perlin:
Who is Looking at Whom? Visualizing Gaze Awareness for Remote Small-Group Conversations. - Florian Ziel:
Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting. - Dibya Ghosh, Jad Rahme, Aviral Kumar, Amy Zhang, Ryan P. Adams, Sergey Levine:
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability. - Bowen Cheng, Alexander G. Schwing, Alexander Kirillov:
Per-Pixel Classification is Not All You Need for Semantic Segmentation. - Lakmal Meegahapola, Florian Labhart, Thanh-Trung Phan, Daniel Gatica-Perez:
Examining the Social Context of Alcohol Drinking in Young Adults with Smartphone Sensing. - Xin Dong, Hongxu Yin, José M. Álvarez, Jan Kautz, Pavlo Molchanov:
Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion. - Qi Li, Yue Wang, Yilun Wang, Hang Zhao:
HDMapNet: An Online HD Map Construction and Evaluation Framework. - Siddharth Iyer, Anup Rao, Victor Reis, Thomas Rothvoss, Amir Yehudayoff:
Tight bounds on the Fourier growth of bounded functions on the hypercube. - Zining Zhu, Bai Li, Yang Xu, Frank Rudzicz:
What do writing features tell us about AI papers? - Frédéric Koessler, Marco Scarsini, Tristan Tomala:
Information Design in Large Games. - Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar:
Inverse Contextual Bandits: Learning How Behavior Evolves over Time. - Julian Theis, Ilia Mokhtarian, Houshang Darabi:
On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization. - Jennifer B. Erway, Mostafa Rezapour:
A New Multipoint Symmetric Secant Method with a Dense Initial Matrix. - Rajat Koner, Hang Li, Marcel Hildebrandt, Deepan Das, Volker Tresp, Stephan Günnemann:
Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering. - Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour:
Contextual Games: Multi-Agent Learning with Side Information. - Maxime Chaveroche, Franck Davoine, Véronique Cherfaoui:
Efficient exact computation of the conjunctive and disjunctive decompositions of D-S Theory for information fusion: Translation and extension. - Guang Lin, Yating Wang, Zecheng Zhang:
Multi-variance replica exchange stochastic gradient MCMC for inverse and forward Bayesian physics-informed neural network. - Rahul Chandan, Dario Paccagnan, Jason R. Marden:
The Anarchy-Stability Tradeoff in Congestion Games. - Tianhao Wang, Yu Yang, Ruoxi Jia:
Learnability of Learning Performance and Its Application to Data Valuation. - Difeng Cai, Zhiqiang Cai:
Hybrid A Posteriori Error Estimators for Conforming Finite Element Approximations to Stationary Convection-Diffusion-Reaction equations. - Basit Olakunle Alawode, Sami El-Ferik:
Design of Adaptive Backstepping Control for Direct Power Control of Three-Phase PWM Rectifier). - Mehmet Fatih Ozkan, Abishek Joseph Rocque, Yao Ma:
Inverse Reinforcement Learning Based Stochastic Driver Behavior Learning. - Ali Shakeri Kahnamouei, Saeed Lotfifard:
Enhancing Resilience of Distribution Networks by Coordinating Microgrids and Demand Response Programs in Service Restoration. - Tuomo Lahtinen, Hannu Turtiainen, Andrei Costin:
BRIMA: low-overhead BRowser-only IMage Annotation tool (Preprint). - Allen Z. Ren, Anirudha Majumdar:
Distributionally Robust Policy Learning via Adversarial Environment Generation. - Anas Al Shaghouri, Rami Alkhatib, Samir Berjaoui:
Real-Time Pothole Detection Using Deep Learning. - Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei, Robbert Struyven, Yoon Kim, Brian D. Leahy, Helen Y. Yang, Alexander M. Rush, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister:
Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field. - Omri Ben-Eliezer, Elchanan Mossel, Madhu Sudan:
Information Spread with Error Correction. - Kazi Redwan Shabab, Shakib Mustavee, Shaurya Agarwal, Mohamed H. Zaki, Sajal Das:
Exploring DMD-type Algorithms for Modeling Signalised Intersections. - Vafa Andalibi, Eliot Lear, DongInn Kim, L. Jean Camp:
On the Analysis of MUD-Files' Interactions, Conflicts, and Configuration Requirements Before Deployment. - Jun Liu:
Fast Parallel-in-Time Quasi-Boundary Value Methods for Backward Heat Conduction Problems. - Joonas Kokkoniemi, Markku J. Juntti:
Stochastic Geometry based Interference Analysis of Multiuser mmWave Networks with RIS. - Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer:
How Much Can CLIP Benefit Vision-and-Language Tasks? - Susama Agarwala, Benjamin Dees, Andrew Gearhart, Corey Lowman:
Geometry and Generalization: Eigenvalues as predictors of where a network will fail to generalize. - Tuan Anh Le, Katherine M. Collins, Luke Hewitt, Kevin Ellis, N. Siddharth, Samuel J. Gershman, Joshua B. Tenenbaum:
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface. - Sandip Roy:
Compressive Representations of Weather Scenes for Strategic Air Traffic Flow Management. - Mitchell Doughty, Karan Singh, Nilesh R. Ghugre:
SurgeonAssist-Net: Towards Context-Aware Head-Mounted Display-Based Augmented Reality for Surgical Guidance. - Van Bang Le, Jan Arne Telle:
The Perfect Matching Cut Problem Revisited. - Sergio Rojas Galeano:
Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam Detection. - Jungseok Hong, Karin de Langis, Cole Wyeth, Christopher Walaszek, Junaed Sattar:
Semantically-Aware Strategies for Stereo-Visual Robotic Obstacle Avoidance. - Aishwarya Sivaraman, Rui Abreu, Andrew Scott, Tobi Akomolede, Satish Chandra:
Mining Idioms in the Wild. - Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm van Seijen, Mehdi Fatemi, Honglak Lee:
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks. - Vanessa D'Amario, Sanjana Srivastava, Tomotake Sasaki, Xavier Boix:
The Foes of Neural Network's Data Efficiency Among Unnecessary Input Dimensions. - Guilherme Paulino-Passos, Francesca Toni:
Monotonicity and Noise-Tolerance in Case-Based Reasoning with Abstract Argumentation (with Appendix). - Lukas Baumann, Elias Heftrig, Haya Schulmann, Michael Waidner:
The Master and Parasite Attack. - Diana Petrescu, Diego Antognini, Boi Faltings:
Multi-Step Critiquing User Interface for Recommender Systems. - Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal, Tushar Krishna:
ATTACC the Quadratic Bottleneck of Attention Layers. - Hsin-Po Wang:
Complexity and Second Moment of the Mathematical Theory of Communication. - Kholoud Alghamdi, Miaojing Shi, Elena Simperl:
Learning to Recommend Items to Wikidata Editors. - Mohammadamin Tavakoli, Peter J. Sadowski, Pierre Baldi:
Tourbillon: a Physically Plausible Neural Architecture. - Apurba Nath, Aayush Kubba:
TSCAN : Dialog Structure discovery using SCAN. - Jianling Wang, Kaize Ding, James Caverlee:
Sequential Recommendation for Cold-start Users with Meta Transitional Learning. - Jesmin Jahan Tithi, Fabrizio Petrini:
A New Parallel Algorithm for Sinkhorn Word-Movers Distance and Its Performance on PIUMA and Xeon CPU. - Qizhen Zhang, Christopher Lu, Animesh Garg, Jakob N. Foerster:
Centralized Model and Exploration Policy for Multi-Agent RL. - Sundara Rajan Srinivasavaradhan, Sivakanth Gopi, Henry D. Pfister, Sergey Yekhanin:
Trellis BMA: Coded Trace Reconstruction on IDS Channels for DNA Storage. - Baolian Qi, Gangming Zhao, Xin Wei, Chaowei Fang, Chengwei Pan, Jinpeng Li, Huiguang He, Licheng Jiao:
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray images. - Meiqi Pei:
MSFNet: Multi-scale features network for monocular depth estimation. - Dmitry Krotov:
Hierarchical Associative Memory. - Duhun Hwang, Eunjung Lee, Wonjong Rhee:
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense. - Min Liu, Zhiqiang Cai:
Adaptive Two-Layer ReLU Neural Network: II. Ritz Approximation to Elliptic PDEs. - Ziran Tu, Xiangyong Zeng, Yupeng Jiang, Xiaohu Tang:
A class of APcN power functions over finite fields of even characteristic. - Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang:
Going Beyond Linear RL: Sample Efficient Neural Function Approximation. - Kabir Nagrecha:
Model-Parallel Model Selection for Deep Learning Systems. - Huajun Zhu, Huayong Liu, Zhen-Guo Yan, Guoquan Shi, Xiaogang Deng:
Shock capturing schemes based on nonuniform nonlinear weighted interpolation for conservation laws and their application as subcell limiters for FR/CPR. - Jun Wang, Bei Yu:
Linking Health News to Research Literature. - Patryk Orzechowski, Jason H. Moore:
Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers. - Ryan Hill, Yian Yin, Carolyn Stein, Dashun Wang, Benjamin F. Jones:
Adaptability and the Pivot Penalty in Science. - Bharadwaj Manda, Pranjal Bhaskare, Ramanathan Muthuganapathy:
A Convolutional Neural Network Approach to the Classification of Engineering Models. - Ishan Tarunesh, Syamantak Kumar, Preethi Jyothi:
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text. - Inkyu Jang, Dongjae Lee, Seungjae Lee, H. Jin Kim:
Robust and Recursively Feasible Real-Time Trajectory Planning in Unknown Environments. - Duc-Duy Pham, Phu-Cuong Nguyen:
Behavior Analysis and Design of Concrete-Filled Steel Circular-Tube Short Columns Subjected to Axial Compression. - Hung Le, Cuong Than:
Greedy Spanners in Euclidean Spaces Admit Sublinear Separators. - Trinh Man Hoang, Jinjia Zhou:
RCLC: ROI-based joint conventional and learning video compression. - Hongning Zhu, Kong Aik Lee, Haizhou Li:
Serialized Multi-Layer Multi-Head Attention for Neural Speaker Embedding. - Peter Xenopoulos, João Rulff, Cláudio T. Silva:
GgViz: Accelerating Large-Scale Esports Game Analysis. - Katherine Lee, Daphne Ippolito, Andrew Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch, Nicholas Carlini:
Deduplicating Training Data Makes Language Models Better. - Yihao Huang, Qing Guo, Felix Juefei-Xu, Lei Ma, Weikai Miao, Yang Liu, Geguang Pu:
AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning. - Anqi Pang, Xin Chen, Haimin Luo, Minye Wu, Jingyi Yu, Lan Xu:
Few-shot Neural Human Performance Rendering from Sparse RGBD Videos. - Dingcheng Yang, Wenjian Yu, Yuanbo Guo, Wenjie Liang:
CNN-Cap: Effective Convolutional Neural Network Based Capacitance Models for Full-Chip Parasitic Extraction. - Md Ashiqur Rahman, Beichuan Zhang:
On the Analysis of Adaptive-Rate Applications in Data-Centric Wireless Ad-Hoc Networks. - Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang:
Learning Algebraic Recombination for Compositional Generalization. - Jungang Ge, Ying-Chang Liang:
RIS-Enhanced Spectrum Sensing: How Many Reflecting Elements Are Required to Achieve a Detection Probability Close to 1? - Suneung-Kim, Seong-Whan Lee:
Detection of Abnormal Behavior with Self-Supervised Gaze Estimation. - Yong Li, Lingjie Lao, Zhen Cui, Shiguang Shan, Jian Yang:
Graph Jigsaw Learning for Cartoon Face Recognition. - Shaohuai Shi, Lin Zhang, Bo Li:
Accelerating Distributed K-FAC with Smart Parallelism of Computing and Communication Tasks. - Haoyuan Pan, Tse-Tin Chan, Victor C. M. Leung, Jianqiang Li:
Age of Information in Physical-Layer Network Coding Enabled Two-Way Relay Networks. - Xinda Liu, Lili Wang, Xiaoguang Han:
Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition. - Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar:
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. - Afra Alishahi, Grzegorz Chrupala, Alejandrina Cristià, Emmanuel Dupoux, Bertrand Higy, Marvin Lavechin, Okko Räsänen, Chen Yu:
ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition. - Barbara Magagna, Ilaria Rosati, Maria Stoica, Sirko Schindler, Gwenaëlle Moncoiffé, Anusuriya Devaraju, Johannes Peterseil, Robert Huber:
The I-ADOPT Interoperability Framework for FAIRer data descriptions of biodiversity. - Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani, Zaher Dawy, Wassim Nasreddine:
Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data. - Yunlong Lu, Na Meng, Wenxin Li:
FAPR: Fast and Accurate Program Repair for Introductory Programming Courses. - Young Eun Kim, Seong-Whan Lee:
Domain Generalization with Pseudo-Domain Label for Face Anti-Spoofing. - Hans-Görg Roos, Despo Savvidou, Christos Xenophontos:
On the finite element approximation of fourth order singularly perturbed eigenvalue problems. - Nasir Hayat, Hazem Lashen, Farah E. Shamout:
Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs. - Jie Xu, Xingyu Chen, Xuguang Lan, Nanning Zheng:
Probabilistic Human Motion Prediction via A Bayesian Neural Network. - Erik Thordsen, Erich Schubert:
MESS: Manifold Embedding Motivated Super Sampling. - Wanying Xie, Yang Feng, Shuhao Gu, Dong Yu:
Importance-based Neuron Allocation for Multilingual Neural Machine Translation. - Jakob Stigenberg, Vidit Saxena, Soma Tayamon, Euhanna Ghadimi:
QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning. - Friedrich Eisenbrand, Martina Gallato, Ola Svensson, Moritz Venzin:
A QPTAS for stabbing rectangles. - Wenqi Zeng, Siqin Cao, Xuhui Huang, Yuan Yao:
A Note on Learning Rare Events in Molecular Dynamics using LSTM and Transformer. - Fabian Rösel, Stephan A. Fahrenkrog-Petersen, Han van der Aa, Matthias Weidlich:
A Distance Measure for Privacy-preserving Process Mining based on Feature Learning. - David Roschewitz, Mary-Anne Hartley, Luca Corinzia, Martin Jaggi:
IFedAvg: Interpretable Data-Interoperability for Federated Learning. - Amartya Shankha Biswas, Talya Eden, Ronitt Rubinfeld:
Towards a Decomposition-Optimal Algorithm for Counting and Sampling Arbitrary Motifs in Sublinear Time. - Marco Secondini, Stella Civelli, Enrico Forestieri:
Tailored Shaping, Improved Detection, Simpler Backpropagation: the Road to Nonlinearity Mitigation. - Saskia Nuñez von Voigt, Erik Daniel, Florian Tschorsch:
Self-Determined Reciprocal Recommender System with Strong Privacy Guarantees. - Beniamino Accattoli, Maico Leberle:
Useful Open Call-by-Need. - Babak Maboudi Afkham, Yiqiu Dong, Per Christian Hansen:
Uncertainty Quantification of Inclusion Boundaries in the Context of X-ray Tomography. - Omer Elkabetz, Nadav Cohen:
Continuous vs. Discrete Optimization of Deep Neural Networks. - Gregor Gantner, Dirk Praetorius:
Adaptive BEM for elliptic PDE systems, part II: Isogeometric analysis with hierarchical B-splines for weakly-singular integral equations. - Gouranga Mallik:
Goal-Oriented A Posteriori Error Estimation for the Biharmonic Problem Based on Equilibrated Moment Tensor. - Alexander Munteanu, Simon Omlor, David P. Woodruff:
Oblivious sketching for logistic regression. - Panagiotis Kanellopoulos, Maria Kyropoulou, Hao Zhou:
Financial Network Games. - Yair Bartal, Ora Nova Fandina, Kasper Green Larsen:
Optimality of the Johnson-Lindenstrauss Dimensionality Reduction for Practical Measures. - Masaya Mizutani, Manabu Tsukada, Hiroshi Esaki:
AutoMCM: Maneuver Coordination Service with Abstracted Functions for Autonomous Driving. - Miroslav Bogdanovic, Majid Khadiv, Ludovic Righetti:
Model-free Reinforcement Learning for Robust Locomotion Using Trajectory Optimization for Exploration. - Masahiro Sato:
Online Evaluation Methods for the Causal Effect of Recommendations. - Ayyoob Imani, Masoud Jalili Sabet, Philipp Dufter, Michael Cysouw, Hinrich Schütze:
ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus. - Jeremy Chouchoulis, Jochen Schütz, Jonas Zeifang:
Jacobian-free explicit multiderivative Runge-Kutta methods for hyperbolic conservation laws. - Anurag Sarkar, Seth Cooper:
Procedural Content Generation using Behavior Trees (PCGBT). - Kacper Sokol, Peter A. Flach:
You Only Write Thrice: Creating Documents, Computational Notebooks and Presentations From a Single Source. - Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Anil K. Jain, Jiliang Tang:
Trustworthy AI: A Computational Perspective. - Volker Hohmann:
The Period-Modulated Harmonic Locked Loop (PM-HLL): A low-effort algorithm for rapid time-domain periodicity estimation. - Shant Boodaghians, Bhaskar Ray Chaudhury, Ruta Mehta:
Polynomial Time Algorithms to Find an Approximate Competitive Equilibrium for Chores. - Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores:
An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions. - Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman:
Self-Supervised Multi-Modal Alignment for Whole Body Medical Imaging. - Cedric Richter, Heike Wehrheim:
DeepMutants: Training neural bug detectors with contextual mutations. - Ingmar Schubert, Ozgur S. Oguz, Marc Toussaint:
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks. - Xiaohui Zhang, Xianghua Miao:
A Reputation-based Approach using Consortium Blockchain for Cyber Threat Intelligence Sharing. - Davi Guimarães da Silva, Marla Teresinha Barbosa Geller, Dalton Felipe Silva Varão, João Bentes, Mauro Sérgio dos Santos Moura, Yasmin Braga Teixeira, Clayton André Maia dos Santos, Anderson Alvarenga de Moura Meneses:
EnergySaver Software Manual. - Mahsa Forouzesh, Patrick Thiran:
Disparity Between Batches as a Signal for Early Stopping. - Paolo Dai Pra, Elena Sartori, Marco Tolotti:
Polarization and coherence in mean field games driven by private and social utility. - Lixuan Yang, Dario Rossi:
Thinkback: Task-SpecificOut-of-Distribution Detection. - Frédéric Lardeux, Éric Monfroy:
Improved SAT models for NFA learning. - Long Teng:
Gradient boosting-based numerical methods for high-dimensional backward stochastic differential equations. - Martin Svedin, Artur Podobas, Steven Wei Der Chien, Stefano Markidis:
Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain. - Sepehr Rezvani, Eduard A. Jorswieck, Roghayeh Joda, Halim Yanikomeroglu:
Optimal Power Allocation in Downlink NOMA. - Parham Boroumand, Albert Guillén i Fàbregas:
Mismatched Binary Hypothesis Testing: Error Exponent Sensitivity. - Boyun Li, Yijie Lin, Xiao Liu, Peng Hu, Jiancheng Lv, Xi Peng:
Unsupervised Neural Rendering for Image Hazing. - Djordje Grbic, Sebastian Risi:
Safer Reinforcement Learning through Transferable Instinct Networks. - Ariyan Bighashdel, Panagiotis Meletis, Pavol Jancura, Gijs Dubbelman:
Deep Adaptive Multi-Intention Inverse Reinforcement Learning. - Erika R. Bérczi-Kovács, Ágnes Cseh, Kata Kosztolányi, Attila Mályusz:
Polynomially tractable cases in the popular roommates problem. - Zhongjie Lu:
Solving discrete constrained problems on de Rham complex. - Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao:
Differential-Critic GAN: Generating What You Want by a Cue of Preferences. - Si Chen, Tianhao Wang, Ruoxi Jia:
Zero-Round Active Learning. - Ning Ma, Jiajun Bu, Zhen Zhang, Sheng Zhou:
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data. - Armin Moin, Moharram Challenger, Atta Badii, Stephan Günnemann:
MDE4QAI: Towards Model-Driven Engineering for Quantum Artificial Intelligence. - Laurenz Reichardt, Patrick Mangat, Oliver Wasenmüller:
DVMN: Dense Validity Mask Network for Depth Completion. - Dennis Teutscher, Patrick Mangat, Oliver Wasenmüller:
PDC: Piecewise Depth Completion utilizing Superpixels. - Fedor V. Fomin, Petr A. Golovach, Tanmay Inamdar, Saket Saurabh:
ETH Tight Algorithms for Geometric Intersection Graphs: Now in Polynomial Space. - Ashudeep Singh, David Kempe, Thorsten Joachims:
Fairness in Ranking under Uncertainty. - Matthias Reisser, Christos Louizos, Efstratios Gavves, Max Welling:
Federated Mixture of Experts. - Franco Barbanera, Ivan Lanese, Emilio Tuosto:
Composition of choreography automata. - Fabio Caddeo, Andrea Pinna:
Opportunities and challenges of Blockchain-Oriented systems in the tourism industry. - Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Zhen Zhang, Sheng Zhou, Xifeng Yan:
Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation. - Reshma Rastogi, Aman Pal:
Efficient Learning of Pinball TWSVM using Privileged Information and its applications. - Arkadiusz Sitek, Sangtae Ahn, Evren Asma, Adam Chandler, Alvin Ihsani, Sven Prevrhal, Arman Rahmim, Babak Saboury, Kris Thielemans:
Artificial Intelligence in PET: an Industry Perspective. - Kun Huang, Yifu Wang, Laurent Kneip:
Dynamic Event Camera Calibration. - Zarathustra Amadeus Goertzel, Karel Chvalovský, Jan Jakubuv, Miroslav Olsák, Josef Urban:
Fast and Slow Enigmas and Parental Guidance. - Guillaume Cabanac, Cyril Labbé, Alexander Magazinov:
Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals. - Xiaozhou Yang, Nan Chen, Chao Zhai:
A Particle Filter Approach to Power System Line Outage Detection Using Load and Generator Bus Dynamics. - Md Abrar Jahin, Andrii Krutsylo:
DIT4BEARs Smart Roads Internship. - Hao Chang, Guochen Xie, Jun Yu, Qiang Ling:
BiSTF: Bilateral-Branch Self-Training Framework for Semi-Supervised Large-scale Fine-Grained Recognition. - Luca Serena, Mirko Zichichi, Gabriele D'Angelo, Stefano Ferretti:
Simulation of Dissemination Strategies on Temporal Networks. - Christian Bartz, Hendrik Rätz, Haojin Yang, Joseph Bethge, Christoph Meinel:
Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data. - Jingwen Hu, Yuchen Liu, Jinming Zhao, Qin Jin:
MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation. - Dan Jia, Bastian Leibe:
Person-MinkUNet: 3D Person Detection with LiDAR Point Cloud. - Kuncahyo Setyo Nugroho, Anantha Yullian Sukmadewa, Novanto Yudistira:
Large-Scale News Classification using BERT Language Model: Spark NLP Approach. - Mirko Zichichi, Luca Serena, Stefano Ferretti, Gabriele D'Angelo:
Governing Decentralized Complex Queries Through a DAO. - Aisyah Awalina, Jibran Fawaid, Rifky Yunus Krisnabayu, Novanto Yudistira:
Indonesia's Fake News Detection using Transformer Network. - Kowndinya Boyalakuntla, Akhila Sri Manasa Venigalla, Sridhar Chimalakonda:
WAccess - A Web Accessibility Tool based on the latest WCAG 2.2 guidelines. - Roberto Ferrara, Luis Torres-Figueroa, Holger Boche, Christian Deppe, Wafa Labidi, Ullrich J. Mönich, Vlad-Costin Andrei:
Practical implementation of identification codes. - Kuncahyo Setyo Nugroho, Anantha Yullian Sukmadewa, Haftittah Wuswilahaken DW, Fitra Abdurrachman Bachtiar, Novanto Yudistira:
BERT Fine-Tuning for Sentiment Analysis on Indonesian Mobile Apps Reviews. - Amit More, Subhasis Chaudhuri:
Deep Learning based Novel View Synthesis. - Jürgen Maier:
Gain and Pain of a Reliable Delay Model. - Michael Leybovich, Oded Shmueli:
Efficient Set of Vectors Search. - Razin A. Shaikh, Lia Yeh, Benjamin Rodatz, Bob Coecke:
Composing Conversational Negation. 352-367 - Ibrahim M. Alabdulmohsin, Larisa Markeeva, Daniel Keysers, Ilya O. Tolstikhin:
A Generalized Lottery Ticket Hypothesis. - Wei Xu, Yixi Cai, Dongjiao He, Jiarong Lin, Fu Zhang:
FAST-LIO2: Fast Direct LiDAR-inertial Odometry. - Jinglin Liu, Zhiying Zhu, Yi Ren, Zhou Zhao:
High-Speed and High-Quality Text-to-Lip Generation. - Ravi Teja Batchu, Abeer Alsadoon, P. W. C. Prasad, Rasha Subhi Ali, Tarik A. Rashid, Ghossoon Alsadoon, Oday D. Jerew:
A Review-based Taxonomy for Secure Health Care Monitoring: Wireless Smart Cameras. - Sabuzima Nayak, Ripon Patgiri, Lilapati Waikhom, Arif Ahmed:
A Review on Edge Analytics: Issues, Challenges, Opportunities, Promises, Future Directions, and Applications. - Xinxin Liu, Yu Hua, Rong Bai:
Consistent RDMA-Friendly Hashing on Remote Persistent Memory. - Dylan Klein, Akansel Cosgun:
Mixing Human Demonstrations with Self-Exploration in Experience Replay for Deep Reinforcement Learning. - Daniel Salles Civitarese, Daniela Szwarcman, Bianca Zadrozny, Campbell D. Watson:
Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network. - Tiago Roxo, Hugo Proença:
Faces in the Wild: Efficient Gender Recognition in Surveillance Conditions. - Keenu Chandra, Maroof Mushtaq, Nalini N:
Digital Passport and Visa Asset Management Using Private and Permissioned Blockchain. - Zhong-Qiu Wang, DeLiang Wang:
Localization Based Sequential Grouping for Continuous Speech Separation. - Joel Z. Leibo, Edgar A. Duéñez-Guzmán, Alexander Sasha Vezhnevets, John P. Agapiou, Peter Sunehag, Raphael Koster, Jayd Matyas, Charles Beattie, Igor Mordatch, Thore Graepel:
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot. - Maitreyee Wairagkar, Emma Villeneuve, Rachel King, Balazs Janko, Malcolm Burnett, Ann Ashburn, Veena Agarwal, R. Simon Sherratt, William Holderbaum, William S. Harwin:
A novel approach for modelling and classifying sit-to-stand kinematics using inertial sensors. - Yukun Yang, Wenrui Zhang, Peng Li:
Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks. - Alexander Mordvintsev, Ettore Randazzo, Eyvind Niklasson:
Differentiable Programming of Reaction-Diffusion Patterns. - Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei:
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. - Federica Adobbati, Luca Bernardinello, Lucia Pomello:
Asynchronous games on Petri nets and ATL. - Jae-hun Shim, Kyeongbo Kong, Suk-Ju Kang:
Core-set Sampling for Efficient Neural Architecture Search. - Jiongzhi Zheng, Menglei Chen, Jialun Zhong, Kun He:
Reinforced Hybrid Genetic Algorithm for the Traveling Salesman Problem. - Zheyu Yan, Da-Cheng Juan, Xiaobo Sharon Hu, Yiyu Shi:
Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search. - Jeff Mitchell, Jeffrey S. Bowers:
Generalisation in Neural Networks Does not Require Feature Overlap. - Amir Yazdani, Roya Sabbagh Novin, Andrew Merryweather, Tucker Hermans:
DULA: A Differentiable Ergonomics Model for Postural Optimization in Physical HRI. - Johannes Klicpera, Marten Lienen, Stephan Günnemann:
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More. - Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi:
Federated Self-Training for Semi-Supervised Audio Recognition. - Mohammad Mahdi Azari, Sourabh Solanki, Symeon Chatzinotas, Oltjon Kodheli, Hazem Sallouha, Achiel Colpaert, Jesus Fabian Mendoza Montoya, Sofie Pollin, Alireza Haqiqatnejad, Arsham Mostaani, Eva Lagunas, Björn E. Ottersten:
Evolution of Non-Terrestrial Networks From 5G to 6G: A Survey. - Brandon Trabucco, Aviral Kumar, Xinyang Geng, Sergey Levine:
Conservative Objective Models for Effective Offline Model-Based Optimization. - Sujeong Kim, Amir Tamrakar:
"How to best say it?" : Translating Directives in Machine Language into Natural Language in the Blocks World. - Jacob Focke, Dániel Marx, Pawel Rzazewski:
Counting list homomorphisms from graphs of bounded treewidth: tight complexity bounds. - Tianze Shi, Lillian Lee:
Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction. - Tianze Shi, Lillian Lee:
TGIF: Tree-Graph Integrated-Format Parser for Enhanced UD with Two-Stage Generic- to Individual-Language Finetuning. - Lily H. Zhang, Mark Goldstein, Rajesh Ranganath:
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models. - Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi, Silvia Cascianelli, Giuseppe Fiameni, Rita Cucchiara:
From Show to Tell: A Survey on Image Captioning. - Mingbao Lin, Rongrong Ji, Bohong Chen, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Qi Tian:
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion. - Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu:
A Field Guide to Federated Optimization. - Efstratios Kakaletsis, Nikos Nikolaidis:
Potential UAV Landing Sites Detection through Digital Elevation Models Analysis. - Artem Barger, Yacov Manevich, Hagar Meir, Yoav Tock:
A Byzantine Fault-Tolerant Consensus Library for Hyperledger Fabric. - Carolyn Matl, Ruzena Bajcsy:
Deformable Elasto-Plastic Object Shaping using an Elastic Hand and Model-Based Reinforcement Learning. - Shigang Li, Torsten Höfler:
Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines. - Sean Kulinski, Saurabh Bagchi, David I. Inouye:
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests. - Nikolai Ufer, Sabine Lang, Björn Ommer:
Object Retrieval and Localization in Large Art Collections using Deep Multi-Style Feature Fusion and Iterative Voting. - Lalith Sharan, Gabriele Romano, Sven Koehler, Halvar Kelm, Matthias Karck, Raffaele De Simone, Sandy Engelhardt:
Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translation. - Szymon Plotka, Tomasz Wlodarczyk, Adam Klasa, Michal Lipa, Arkadiusz Sitek, Tomasz Trzcinski:
FetalNet: Multi-task deep learning framework for fetal ultrasound biometric measurements. - Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida, Frank Valencia:
On the impossibility of non-trivial accuracy under fairness constraints. - Peter Beelen, Sven Puchinger, Johan Rosenkilde:
Twisted Reed-Solomon Codes. - Rakshit Naidu, Harshita Diddee, Ajinkya Mulay, Aleti Vardhan, Krithika Ramesh, Ahmed S. Zamzam:
Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning. - Perrin E. Ruth, Manuel E. Lladser:
Levenshtein Graphs: Resolvability, Automorphisms & Determining Sets. - Armen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu, Gargi Ghosh, Luke Zettlemoyer:
HTLM: Hyper-Text Pre-Training and Prompting of Language Models. - Walter Boscheri, Maurizio Tavelli, Lorenzo Pareschi:
On the construction of conservative semi-Lagrangian IMEX advection schemes for multiscale time dependent PDEs. - Yun Tang, Hongyu Gong, Xian Li, Changhan Wang, Juan Miguel Pino, Holger Schwenk, Naman Goyal:
FST: the FAIR Speech Translation System for the IWSLT21 Multilingual Shared Task. - Jackson Farley, Andreas Gerstlauer:
Memory-Aware Fusing and Tiling of Neural Networks for Accelerated Edge Inference. - Hannah Rashkin, David Reitter, Gaurav Singh Tomar, Dipanjan Das:
Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features. - Jinglu Zhang, Yinyu Nie, Jian Chang, Jian-Jun Zhang:
Surgical Instruction Generation with Transformers. - Cristina Bacuta, Constantin Bacuta:
Connections Between Finite Difference and Finite Element Approximations. - Nathan TeBlunthuis, Benjamin Mako Hill:
Identifying Competition and Mutualism Between Online Groups. - Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu:
Solving sparse linear systems with approximate inverse preconditioners on analog devices. - Samantha Bradshaw, Mona Elswah, Antonella Perini:
Look who's watching: platform labels and user engagement on state-backed media outlets. - Melika Abolhassani, Hossein Esfandiari, Yasamin Nazari, Balasubramanian Sivan, Yifeng Teng, Creighton Thomas:
Online Allocation and Display Ads Optimization with Surplus Supply. - Filippo Neri:
Mapping Learning Algorithms on Data, a useful step for optimizing performances and their comparison. - Sueda Taner, Christoph Studer:
𝓁p-𝓁q-Norm Minimization for Joint Precoding and Peak-to-Average-Power Ratio Reduction. - Tazin Afrin, Elaine Wang, Diane J. Litman, Lindsay Clare Matsumura, Richard Correnti:
Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writing. - Zhihao Chen, Jie Gao, Weikai Wang, Zheng Yan:
Physics-informed generative neural network: an application to troposphere temperature prediction. - Mauricio Mendez-Ruiz, Ivan Garcia, Jorge Gonzalez-Zapata, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez:
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction. - Sourav Mishra, Suresh Sundaram:
Confidence Conditioned Knowledge Distillation. - Andrew Joohun Nam, James L. McClelland:
What underlies rapid learning and systematic generalization in humans. - Mostafa Shabani, Alexandros Iosifidis:
Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting. - Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang:
Elastic Graph Neural Networks. - Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella:
DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search. - Valentina Janev, Dusan Popadic, Dea Pujic, Maria-Esther Vidal, Kemele M. Endris:
Reuse of Semantic Models for Emerging Smart Grids Applications. - Neha Thomas, Farimah Fazlollahi, Jeremy D. Brown, Katherine J. Kuchenbecker:
Sensorimotor-inspired Tactile Feedback and Control Improve Consistency of Prosthesis Manipulation in the Absence of Direct Vision. - Mostafa Dehghani, Yi Tay, Alexey A. Gritsenko, Zhe Zhao, Neil Houlsby, Fernando Diaz, Donald Metzler, Oriol Vinyals:
The Benchmark Lottery. - Velat Kilic, Deepti Hegde, Vishwanath Sindagi, A. Brinton Cooper, Mark A. Foster, Vishal M. Patel:
Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection. - Ayush Manish Agrawal, Atharva Tendle, Harshvardhan Sikka, Sahib Singh:
WeightScale: Interpreting Weight Change in Neural Networks. - Jianwei Li, Han-Chih Chang, Mark Stamp:
Free-Text Keystroke Dynamics for User Authentication. - Marco Salucci, Nicola Anselmi, Marco Donald Migliore, Andrea Massa:
A Bayesian Compressive Sensing Approach to Robust Near-Field Antenna Characterization. - Thomas A. Langlois, H. Charles Zhao, Erin Grant, Ishita Dasgupta, Thomas L. Griffiths, Nori Jacoby:
Passive attention in artificial neural networks predicts human visual selectivity. - Daniel T. Chang:
Hybrid Bayesian Neural Networks with Functional Probabilistic Layers. - Kailas Vodrahalli, Tobias Gerstenberg, James Zou:
Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions. - Ricardo Gonçalves, Matthias Knorr, João Leite:
Forgetting in Answer Set Programming - A Survey. - Tazin Afrin, Omid Kashefi, Christopher Olshefski, Diane J. Litman, Rebecca Hwa, Amanda Godley:
Effective Interfaces for Student-Driven Revision Sessions for Argumentative Writing. - Souti Chattopadhyay, Thomas Zimmermann, Denae Ford:
Reel Life vs. Real Life: How Software Developers Share Their Daily Life through Vlogs. - Hugo Flores García, Aldo Aguilar, Ethan Manilow, Bryan Pardo:
Leveraging Hierarchical Structures for Few-Shot Musical Instrument Recognition. - Lei He, Shengjie Jiang, Xiaoqing Liang, Ning Wang, Shiyu Song:
Diff-Net: Image Feature Difference based High-Definition Map Change Detection. - Francesco Massari, Martin Biehl, Lisa Meeden, Ryota Kanai:
Experimental Evidence that Empowerment May Drive Exploration in Sparse-Reward Environments. - Manuel Garcia-Piqueras, José Hernández-Orallo:
Conditional Teaching Size. - Muhammed Ali Sit, Bekir Z. Demiray, Ibrahim Demir:
Short-term Hourly Streamflow Prediction with Graph Convolutional GRU Networks. - Zhiming Zhang, Yongming Liu:
Parsimony-Enhanced Sparse Bayesian Learning for Robust Discovery of Partial Differential Equations. - Kyeongbo Kong, Junggi Lee, Youngchul Kwak, Young-Rae Cho, Seong-Eun Kim, Woo-Jin Song:
Mitigating Memorization in Sample Selection for Learning with Noisy Labels. - Vincenzo Ferrero, Kaveh Hassani, Daniele Grandi, Bryony DuPont:
Classifying Component Function in Product Assemblies with Graph Neural Networks. - Zuohui Chen, Renxuan Wang, Jingyang Xiang, Yue Yu, Xin Xia, Shouling Ji, Qi Xuan, Xiaoniu Yang:
GGT: Graph-Guided Testing for Adversarial Sample Detection of Deep Neural Network. - Haoxing Ren, Matthew Fojtik, Brucek Khailany:
NVCell: Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning. - Prashant Gohel, Priyanka Singh, Manoranjan Mohanty:
Explainable AI: current status and future directions. - Alexander Ororbia, Ankur Arjun Mali:
Backprop-Free Reinforcement Learning with Active Neural Generative Coding. - Bijan Mazaheri, Siddharth Jain, Jehoshua Bruck:
Expert Graphs: Synthesizing New Expertise via Collaboration. - Zhe Huang, Ruohua Li, Kazuki Shin, Katherine Rose Driggs-Campbell:
Learning Sparse Interaction Graphs of Partially Observed Pedestrians for Trajectory Prediction. - Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, Michael Ng:
A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing. - Mohammed Bahutair, Athman Bouguettaya:
Blockchain-based Trust Information Storage in Crowdsourced IoT Services. - Ji-Seon Bang, Seong-Whan Lee:
Motor Imagery Classification based on CNN-GRU Network with Spatio-Temporal Feature Representation. - I Wayan Budi Sentana, Muhammad Ikram, Mohamed Ali Kâafar:
BlockJack: Towards Improved Prevention of IP Prefix Hijacking Attacks in Inter-Domain Routing Via Blockchain. - Amit Seal Ami, Nathan Cooper, Kaushal Kafle, Kevin Moran, Denys Poshyvanyk, Adwait Nadkarni:
Why Crypto-detectors Fail: A Systematic Evaluation of Cryptographic Misuse Detection Techniques. - Guanqun Ai, Xingquan Zuo, Gang Chen, Binglin Wu:
Deep Reinforcement Learning based Dynamic Optimization of Bus Timetable. - Mehdi Miah, Guillaume-Alexandre Bilodeau, Nicolas Saunier:
MeNToS: Tracklets Association with a Space-Time Memory Network. - Shitij Avlani, Dong-Hyun Seo, Baibhab Chatterjee, Shreyas Sen:
EICO: Energy-Harvesting Long-Range Environmental Sensor Nodes with Energy-Information Dynamic Co-Optimization. - Mansheej Paul, Surya Ganguli, Gintare Karolina Dziugaite:
Deep Learning on a Data Diet: Finding Important Examples Early in Training. - Bingjie Li, Guohua Wu, Yongming He, Mingfeng Fan, Witold Pedrycz:
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem. - Yu Leng, Xiaochuan Tian, Leszek F. Demkowicz, Hector Gomez, John T. Foster:
A Petrov-Galerkin method for nonlocal convection-dominated diffusion problems. - Nikhil Garg, Wes Gurnee, David Rothschild, David B. Shmoys:
Combatting Gerrymandering with Social Choice: the Design of Multi-member Districts. - Xinghao Dong, Qiang Fu, Chunhua Zhang, Wei He:
Vision-Based Target Localization for a Flapping-Wing Aerial Vehicle. - Feng Shi, Chonghan Lee, Liang Qiu, Yizhou Zhao, Tianyi Shen, Shivran Muralidhar, Tian Han, Song-Chun Zhu, Vijaykrishnan Narayanan:
STAR: Sparse Transformer-based Action Recognition. - Hao Chen:
Support Constrained Generator Matrices and the Generalized Hamming Weights. - Xiaomeng Ye, Ziwei Zhao, David Leake, Xizi Wang, David J. Crandall:
Applying the Case Difference Heuristic to Learn Adaptations from Deep Network Features. - Lei Wan, Jiang Zhu, En Cheng, Zhiwei Xu:
Joint CFO, Gridless Channel Estimation and Data Detection for Underwater Acoustic OFDM Systems. - Baoxiang Wang, Huanjian Zhou:
Multilinear extension of k-submodular functions. - Benjamin Maier:
Scalable Biophysical Simulations of the Neuromuscular System. - Alex Egg:
Online Learning for Recommendations at Grubhub. - Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky:
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization. - Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun:
Recurrent Parameter Generators. - Yulin Zhang, Dylan A. Shell:
On nondeterminism in combinatorial filters. - Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun:
Neural Code Summarization: How Far Are We? - Guowei Xu, Wenbiao Ding, Weiping Fu, Zhongqin Wu, Zitao Liu:
Robust Learning for Text Classification with Multi-source Noise Simulation and Hard Example Mining. - Yibo Hu, Latifur Khan:
Uncertainty-Aware Reliable Text Classification. - Feng Shi, Chonghan Lee, Mohammad Khairul Bashar, Nikhil Shukla, Song-Chun Zhu, Vijaykrishnan Narayanan:
Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis. - Steven Patrick, Efstathios Bakolas:
Collision Avoidance Using Spherical Harmonics. - Yang Hao, Hang Li, Wenbiao Ding, Zhongqin Wu, Jiliang Tang, Rose Luckin, Zitao Liu:
Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models. - Gilberto Rivera Zárate, Carlos A. Coello Coello, Laura Cruz-Reyes, Eduardo R. Fernández, Claudia Gómez-Santillán, Nelson Rangel-Valdez:
Preference Incorporation into Many-Objective Optimization: An Outranking-based Ant Colony Algorithm. - Qiongqiong Liu, Tianqiao Liu, Jiafu Zhao, Qiang Fang, Wenbiao Ding, Zhongqin Wu, Feng Xia, Jiliang Tang, Zitao Liu:
Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models. - Jiahao Chen, Hang Li, Wenbiao Ding, Zitao Liu:
An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms. - Kyoungjun Park, Myungchul Kim, Laihyuk Park:
NeuSaver: Neural Adaptive Power Consumption Optimization for Mobile Video Streaming. - Waqas Ali, Peilin Liu, Rendong Ying, Zheng Gong:
A life-long SLAM approach using adaptable local maps based on rasterized LIDAR images. - Mohit Kumar, Samuel Kolb, Luc De Raedt, Stefano Teso:
Learning Mixed-Integer Linear Programs from Contextual Examples. - Katie M. Brodersen, Emily A. Bywater, Alec M. Lanter, Hayden H. Schennum, Kumansh N. Furia, Maulee K. Sheth, Nathaniel S. Kiefer, Brittany K. Cafferty, Akshay K. Rao, Jose M. Garcia, David M. Warsinger:
Direct-drive ocean wave-powered batch reverse osmosis. - Anubhav Baweja, Justin Jia, David P. Woodruff:
An Efficient Semi-Streaming PTAS for Tournament Feedback ArcSet with Few Passes. - Zona Kostic, Aleksandar Jevremovic:
What Image Features Boost Housing Market Predictions? - Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner:
Tailor: Generating and Perturbing Text with Semantic Controls. - Oriol Corcoll:
Semantic Image Cropping. - Sangmin Woo, Junhyug Noh, Kangil Kim:
What and When to Look?: Temporal Span Proposal Network for Video Visual Relation Detection. - Sonja Tilly, Giacomo Livan:
Predicting market inflation expectations with news topics and sentiment. - Jens Domke:
A64FX - Your Compiler You Must Decide! - Gilmer Valdes, Wilmer Arbelo, Yannet Interian, Jerome H. Friedman:
Lockout: Sparse Regularization of Neural Networks. - Ang Yang, Peng Sun, Tamrakar Rakesh, Bule Sun, Fei Qin:
Deep Learning Based OFDM Channel Estimation Using Frequency-Time Division and Attention Mechanism. - Eli Shemuel, Oron Sabag, Haim H. Permuter:
The Feedback Capacity of Noisy Output is the STate (NOST) Channels. - Shi-Yao Zhou, Chung-Yen Su:
An Efficient and Small Convolutional Neural Network for Pest Recognition - ExquisiteNet. - Imad Al Assir, Mohamad El Iskandarani, Hadi Rayan Al Sandid, Mazen A. R. Saghir:
Arrow: A RISC-V Vector Accelerator for Machine Learning Inference. - Jonathan Bragg, Arman Cohan, Kyle Lo, Iz Beltagy:
FLEX: Unifying Evaluation for Few-Shot NLP. - Ye Yuan, Ruijuan Chen, Chuan Sun, Maolin Wang, Feng Hua, Xinlei Yi, Tao Yang, Jun Liu:
DeFed: A Principled Decentralized and Privacy-Preserving Federated Learning Algorithm. - Lei Chen, Fajie Yuan, Jiaxi Yang, Min Yang, Chengming Li:
Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search. - Chaoyi Chen, Qing Xu, Mengchi Cai, Jiawei Wang, Jianqiang Wang, Biao Xu, Keqiang Li:
Conflict-free Cooperation Method for Connected and Automated Vehicles at Unsignalized Intersections: Graph-based Modeling and Optimality Analysis. - Moran Feldman, Ashkan Norouzi-Fard, Ola Svensson, Rico Zenklusen:
Streaming Submodular Maximization with Matroid and Matching Constraints. - Kevin Li, Abhishek Gupta, Ashwin Reddy, Vitchyr Pong, Aurick Zhou, Justin Yu, Sergey Levine:
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning. - Deokhwan Park, Joosoon Lee, Junseok Lee, Kyoobin Lee:
Deep Learning based Food Instance Segmentation using Synthetic Data. - Yakun Ju, Muwei Jian, Shaoxiang Guo, Yingyu Wang, Huiyu Zhou, Junyu Dong:
Incorporating Lambertian Priors into Surface Normals Measurement. - Emanuele Carlini, Patrizio Dazzi, Luca Ferrucci, Matteo Mordacchini:
Efficient Resources Distribution for an Ephemeral Cloud/Edge continuum. - Yufeng Xia, Jun Zhang, Zhiqiang Gong, Tingsong Jiang, Wen Yao:
Randomized ReLU Activation for Uncertainty Estimation of Deep Neural Networks. - Xiaoqian Huang, Mohamad Halwani, Rajkumar Muthusamy, Abdulla Ayyad, Dewald Swart, Lakmal D. Seneviratne, Dongming Gan, Yahya H. Zweiri:
Real-Time Grasping Strategies Using Event Camera. - Dong An, Yuankai Qi, Yan Huang, Qi Wu, Liang Wang, Tieniu Tan:
Neighbor-view Enhanced Model for Vision and Language Navigation. - Yue-Chao Zhu, Zhaoxi Sun, Qiao-Le He:
Clustering-based convergence diagnostic for multi-modal identification in parameter estimation of chromatography model with parallel MCMC. - Christian Lienen, Marco Platzner:
Design of Distributed Reconfigurable Robotics Systems with ReconROS. - Vyacheslav Kungurtsev, Adam D. Cobb, Tara Javidi, Brian Jalaian:
Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo. - Miguel Terra-Neves, João Nadkarni, Miguel Ventura, Pedro Resende, Hugo Veiga, António Alegria:
Duplicated Code Pattern Mining in Visual Programming Languages. - Erick Petersen, Jorge López, Natalia Kushik, Claude Poletti, Djamal Zeghlache:
Satellite Communication Digital Twin for Evaluating Novel Solutions: Dynamic Link Emulation Architecture. - Candy Olivia Mawalim, Masashi Unoki:
Improving Security in McAdams Coefficient-Based Speaker Anonymization by Watermarking Method. - Gereon Fox, Ayush Tewari, Mohamed Elgharib, Christian Theobalt:
StyleVideoGAN: A Temporal Generative Model using a Pretrained StyleGAN. - Di You, Jian Zhang, Jingfen Xie, Bin Chen, Siwei Ma:
COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing. - Andrzej Indrzejczak, Michal Zawidzki:
Tableaux for Free Logics with Descriptions. - Ishan Tarunesh, Somak Aditya, Monojit Choudhury:
Trusting RoBERTa over BERT: Insights from CheckListing the Natural Language Inference Task. - Alexandre Verine, Benjamin Négrevergne, Fabrice Rossi, Yann Chevaleyre:
On the expressivity of bi-Lipschitz normalizing flows. - Shaashwat Agrawal, Sagnik Sarkar, Mamoun Alazab, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Quoc-Viet Pham:
Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learning. - Jizhizi Li, Jing Zhang, Dacheng Tao:
Deep Automatic Natural Image Matting. - Xiangyu Qi, Jifeng Zhu, Chulin Xie, Yong Yang:
Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting. - David Wisth, Marco Camurri, Maurice F. Fallon:
VILENS: Visual, Inertial, Lidar, and Leg Odometry for All-Terrain Legged Robots. - Niina Zuber, Severin Kacianka, Jan Gogoll, Alexander Pretschner, Julian Nida-Rümelin:
Empowered and Embedded: Ethics and Agile Processes. - Ali Safa, Tim Verbelen, Lars Keuninckx, Ilja Ocket, Matthias Hartmann, André Bourdoux, Francky Catthoor, Georges G. E. Gielen:
A Low-Complexity Radar Detector Outperforming OS-CFAR for Indoor Drone Obstacle Avoidance. - Asier Gutiérrez-Fandiño, Jordi Armengol-Estapé, Marc Pàmies, Joan Llop-Palao, Joaquín Silveira-Ocampo, Casimiro Pio Carrino, Aitor Gonzalez-Agirre, Carme Armentano-Oller, Carlos Rodríguez Penagos, Marta Villegas:
Spanish Language Models. - Mirko Leomanni, Renato Quartullo, Gianni Bianchini, Andrea Garulli, Antonio Giannitrapani:
Variable-Horizon Guidance for Autonomous Rendezvous and Docking to a Tumbling Target. - Kevin Weiss, Michel Rottleuthner, Thomas C. Schmidt, Matthias Wählisch:
PHiLIP on the HiL: Automated Multi-platform OS Testing with External Reference Devices. - Manuel Lagunas, Xin Sun, Jimei Yang, Ruben Villegas, Jianming Zhang, Zhixin Shu, Belén Masiá, Diego Gutierrez:
Single-image Full-body Human Relighting. - Jinyoung Choi, Bohyung Han:
MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators. - Ori Yoran, Alon Talmor, Jonathan Berant:
Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills. - Cao Vien Phung, Christoph Herold, David Humphreys, Thomas Kürner, Admela Jukan:
Increasing Transmission Distance in THz systems with MDPC Code and Auxiliary Channel. - Luise Pufahl, Sven Ihde, Fabian Stiehle, Mathias Weske, Ingo Weber:
Automatic Resource Allocation in Business Processes: A Systematic Literature Survey. - Nilotpal Sinha, Kuan-Wen Chen:
Neural Architecture Search using Covariance Matrix Adaptation Evolution Strategy. - Jing Yi, Yaochen Zhu, Jiayi Xie, Zhenzhong Chen:
Cross-modal Variational Auto-encoder for Content-based Micro-video Background Music Recommendation. - Bicheng Yan, Bailian Chen, Dylan Robert Harp, Rajesh J. Pawar:
A Robust Deep Learning Workflow to Predict Multiphase Flow Behavior during Geological CO2 Sequestration Injection and Post-Injection Periods. - Ahmed Aboudonia, Andrea Martinelli, John Lygeros:
Passivity-based Decentralized Control for Discrete-time Large-scale Systems. - Bahram Jafrasteh, Carlos Villacampa-Calvo, Daniel Hernández-Lobato:
Input Dependent Sparse Gaussian Processes. - Jonas Kusch, Lukas Einkemmer, Gianluca Ceruti:
On the stability of robust dynamical low-rank approximations for hyperbolic problems. - Chintoo Kumar, C. Ravindranath Chowdary:
Auto-detecting groups based on textual similarity for group recommendations. - Christophe De Troyer, Jens Nicolay, Wolfgang De Meuter:
The Art of the Meta Stream Protocol: Torrents of Streams. - Michal Król, Onur Ascigil, Sergi Rene, Alberto Sonnino, Mustafa Al-Bassam, Etienne Rivière:
Shard Scheduler: object placement and migration in sharded account-based blockchains. - Nicolas Chappe, Ludovic Henrio, Amaury Maillé, Matthieu Moy, Hadrien Renaud:
An Optimised Flow for Futures: From Theory to Practice. - Angel Luis Scull Pupo, Jens Nicolay, Elisa Gonzalez Boix:
Deriving Static Security Testing from Runtime Security Protection for Web Applications. - Yudai Tanabe, Luthfan Anshar Lubis, Tomoyuki Aotani, Hidehiko Masuhara:
A Functional Programming Language with Versions. - Javier López-Gómez, Jakob Blomer:
Exploring Object Stores for High-Energy Physics Data Storage. - Amirreza Yousefzadeh, Manolis Sifalakis:
Training for temporal sparsity in deep neural networks, application in video processing. - Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Topic Inference for Chest X-Ray Report Generation. - Danial Kamran, Tizian Engelgeh, Marvin Busch, Johannes Fischer, Christoph Stiller:
Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning. - Jake Deane, Sinead Kearney, Kwang In Kim, Darren Cosker:
DynaDog+T: A Parametric Animal Model for Synthetic Canine Image Generation. - Runze Chen, Haiyong Luo, Fang Zhao, Xuechun Meng, Zhiqing Xie, Yida Zhu:
Modeling Accurate Human Activity Recognition for Embedded Devices Using Multi-level Distillation. - Dong Li, Chaoyu Quan:
Negative time splitting is stable. - Taimur Hassan, Samet Akcay, Mohammed Bennamoun, Salman H. Khan, Naoufel Werghi:
Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition. - Lê-Nguyên Hoang, Louis Faucon, Aidan Jungo, Sergei Volodin, Dalia Papuc, Orfeas Liossatos, Ben Crulis, Mariame Tighanimine, Isabela Constantin, Anastasiia Kucherenko, Alexandre Maurer, Felix Grimberg, Vlad Nitu, Chris Vossen, Sébastien Rouault, El-Mahdi El-Mhamdi:
Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments. - Hyung-Ju Ahn, Dae-Hyeok Lee, Ji-Hoon Jeong, Seong-Whan Lee:
Towards Natural Brain-Machine Interaction using Endogenous Potentials based on Deep Neural Networks. - Shital Desai, Arlene Astell:
Mixed reality technologies for people with dementia: Participatory evaluation methods. - Dativa K. Tizikara, Jonathan Serugunda, Andrew Katumba:
An Overview of Machine Learning-aided Optical Performance Monitoring Techniques. - Rutwik Shah, Bruno Astuto, Tyler Gleason, Will Fletcher, Justin Banaga, Kevin Sweetwood, Allen Ye, Rina Patel, Kevin C. McGill, Thomas M. Link, Jason C. Crane, Valentina Pedoia, Sharmila Majumdar:
Leveraging wisdom of the crowds to improve consensus among radiologists by real time, blinded collaborations on a digital swarm platform. - Rahul Jaiswal, Manel Martínez-Ramón, Tito Busani:
Probabilistic analysis of solar cell optical performance using Gaussian processes. - Lennart Schneider, Florian Pfisterer, Martin Binder, Bernd Bischl:
Mutation is all you need. - Nirmalya Thakur, Chia Y. Han:
Framework for A Personalized Intelligent Assistant to Elderly People for Activities of Daily Living. - Juliane Weilbach, Sebastian Gerwinn, Christian Weilbach, Melih Kandemir:
Inferring the Structure of Ordinary Differential Equations. - Jacopo Tagliabue:
You Do Not Need a Bigger Boat: Recommendations at Reasonable Scale in a (Mostly) Serverless and Open Stack. - Karl Bringmann, Michael Kapralov, Mikhail Makarov, Vasileios Nakos, Amir Yagudin, Amir Zandieh:
Sparse Fourier Transform by traversing Cooley-Tukey FFT computation graphs. - Saptarshi Bej, Kristian Schultz, Prashant Srivastava, Markus Wolfien, Olaf Wolkenhauer:
A multi-schematic classifier-independent oversampling approach for imbalanced datasets. - Mike Laszkiewicz, Johannes Lederer, Asja Fischer:
Copula-Based Normalizing Flows. - Stefan Marksteiner, Slava Bronfman, Markus Wolf, Eddie Lazebnik:
Using Cyber Digital Twins for Automated Automotive Cybersecurity Testing. - Kunal Relia:
DiRe Committee : Diversity and Representation Constraints in Multiwinner Elections. - Yaroslav Golubev, Zarina Kurbatova, Eman Abdullah AlOmar, Timofey Bryksin, Mohamed Wiem Mkaouer:
One Thousand and One Stories: A Large-Scale Survey of Software Refactoring. - Fabrizio Grandoni, Rafail Ostrovsky, Yuval Rabani, Leonard J. Schulman, Rakesh Venkat:
A Refined Approximation for Euclidean k-Means. - Maxime Chaveroche, Franck Davoine, Véronique Cherfaoui:
Efficient Möbius Transformations and their applications to Dempster-Shafer Theory: Clarification and implementation. - Sebastian Löbbers, Mathieu Barthet, György Fazekas:
Sketching sounds: an exploratory study on sound-shape associations. - Evangelia Tsoukanara, Georgia Koloniari, Evaggelia Pitoura:
Should I Stay or Should I Go: Predicting Changes in Cluster Membership. - Dhasarathy Parthasarathy, Anton Johansson:
SilGAN: Generating driving maneuvers for scenario-based software-in-the-loop testing. - Joseph Palermo, Johnny Ye, Alok Singh:
A Reinforcement Learning Environment for Mathematical Reasoning via Program Synthesis. - X. Jessie Yang, Christopher Schemanske, Christine Searle:
Toward quantifying trust dynamics: How people adjust their trust after moment-to-moment interaction with automation. - Elaine Pimentel, Enrico Tassi:
Proceedings of the Sixteenth Workshop on Logical Frameworks and Meta-Languages: Theory and Practice, LFMTP 2021, Pittsburgh, USA, 16th July 2021. EPTCS 337, 2021 [contents] - Han Mao Kiah, Alexander Vardy, Hanwen Yao:
Computing Permanents on a Trellis. - Md. Ali Azam, Abir Hossen, Md Hafizur Rahman:
Hybrid Ant Swarm-Based Data Clustering. - Sayan Bandyapadhyay, Fedor V. Fomin, Petr A. Golovach, Nidhi Purohit, Kirill Simonov:
Lossy Kernelization of Same-Size Clustering. - Wei Zhou, Yiying Li:
A Fixed Version of Quadratic Program in Gradient Episodic Memory. - Dilrukshi Gamage, Mark E. Whiting:
Together we learn better: leveraging communities of practice for MOOC learners. - Ali Çivril:
Scheme-theoretic Approach to Computational Complexity I. The Separation of P and NP. - Ali Çivril:
Scheme-theoretic Approach to Computational Complexity II. The Separation of P and NP over C, R, and Z. - Vijay Keswani, L. Elisa Celis:
Auditing for Diversity using Representative Examples. - Arnaud Fickinger, Natasha Jaques, Samyak Parajuli, Michael Chang, Nicholas Rhinehart, Glen Berseth, Stuart Russell, Sergey Levine:
Explore and Control with Adversarial Surprise. - Piotr Migdal, Bartlomiej Olechno, Blazej Podgórski:
Level generation and style enhancement - deep learning for game development overview. - Martin Bossert, Rebekka Schulz, Sebastian Bitzer:
On Hard and Soft Decision Decoding of BCH Codes. - Anirudh Gupta, Harveen Singh Chadha, Priyanshi Shah, Neeraj Chimmwal, Ankur Dhuriya, Rishabh Gaur, Vivek Raghavan:
CLSRIL-23: Cross Lingual Speech Representations for Indic Languages. - Vera Traub, Rico Zenklusen:
Local Search for Weighted Tree Augmentation and Steiner Tree. - Rupert Freeman, Evi Micha, Nisarg Shah:
Two-Sided Matching Meets Fair Division. - Omar Otoniel Flores-Cortez, Ronny Adalberto Cortez, Bruno González:
Design and Implementation of an IoT Based LPG and CO Gases Monitoring System. - Han-Chih Chang, Jianwei Li, Mark Stamp:
Machine Learning-Based Analysis of Free-Text Keystroke Dynamics. - Yuda Song, Wen Sun:
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration. - Danial Kamran, Yu Ren, Martin Lauer:
High-level Decisions from a Safe Maneuver Catalog with Reinforcement Learning for Safe and Cooperative Automated Merging. - Prajwol Kumar Nakarmi:
Cheatsheets for Authentication and Key Agreements in 2G, 3G, 4G, and 5G. - Yiling Chen, Fang-Yi Yu:
Optimal Scoring Rule Design. - Andy Coenen, Luke Davis, Daphne Ippolito, Emily Reif, Ann Yuan:
Wordcraft: a Human-AI Collaborative Editor for Story Writing. - Nico Lang, Konrad Schindler, Jan Dirk Wegner:
High carbon stock mapping at large scale with optical satellite imagery and spaceborne LIDAR. - Ladislav Rampásek, Guy Wolf:
Hierarchical graph neural nets can capture long-range interactions. - Omer Kafri, Or Patashnik, Yuval Alaluf, Daniel Cohen-Or:
StyleFusion: A Generative Model for Disentangling Spatial Segments. - Yikun Ban, Jingrui He:
Convolutional Neural Bandit: Provable Algorithm for Visual-aware Advertising. - Felipe Garrido-Lucero, Rida Laraki:
EPTAS for stable allocations in matching games. - Milica I. Petkovic, Tijana Devaja, Dejan Vukobratovic, Francisco J. Escribano, Cedomir Stefanovic:
Reliability Analysis of Slotted Aloha with Capture for an OWC-based IoT system. - Weitao Wang, Sushovan Das, Xinyu Crystal Wu, Zhuang Wang, Ang Chen, T. S. Eugene Ng:
MXDAG: A Hybrid Abstraction for Cluster Applications. - Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li:
AutoBERT-Zero: Evolving BERT Backbone from Scratch. - Nathaniel Dennler, Catherine Yunis, Jonathan Realmuto, Terence D. Sanger, Stefanos Nikolaidis, Maja J. Mataric:
Personalizing User Engagement Dynamics in a Non-Verbal Communication Game for Cerebral Palsy. - Ibrahim Sobh, Ahmed Hamed, Varun Ravi Kumar, Senthil Kumar Yogamani:
Adversarial Attacks on Multi-task Visual Perception for Autonomous Driving. - Lucas Felipe Ferraro Cardoso, Vitor Cirilo Araujo Santos, Regiane S. Kawasaki Francês, Ricardo B. C. Prudêncio, Ronnie Cley de Oliveira Alves:
Data vs classifiers, who wins? - Priya Shukla, Nilotpal Pramanik, Deepesh Mehta, Gora Chand Nandi:
GI-NNet \& RGI-NNet: Development of Robotic Grasp Pose Models, Trainable with Large as well as Limited Labelled Training Datasets, under supervised and semi supervised paradigms. - Wenzhuo Song, Shoujin Wang, Yan Wang, Shengsheng Wang:
Next-item Recommendations in Short Sessions. - Andrey Malinin, Neil Band, Alexander Ganshin, German Chesnokov, Yarin Gal, Mark J. F. Gales, Alexey Noskov, Andrey Ploskonosov, Liudmila Prokhorenkova, Ivan Provilkov, Vatsal Raina, Vyas Raina, Mariya Shmatova, Panos Tigas, Boris Yangel:
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks. - Léonard Brice, Marie van den Bogaard, Jean-François Raskin:
On the Complexity of SPEs in Parity Games. - Wei Xiao, Noushin Mehdipour, Anne Collin, Amitai Y. Bin-Nun, Emilio Frazzoli, Radboud J. Duintjer Tebbens, Calin Belta:
Rule-based Evaluation and Optimal Control for Autonomous Driving. - Migran N. Gevorkyan, Anna V. Korolkova, Dmitry S. Kulyabov:
Using a template engine as a computer algebra tool. - Xunli Zeng, Jianqin Yin:
Amodal segmentation just like doing a jigsaw. - Farzane Amirzade, Daniel Panario, Mohammad-Reza Sadeghi:
Trade-Based LDPC Codes. - Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu:
Only Train Once: A One-Shot Neural Network Training And Pruning Framework. - Amir Ivry, Israel Cohen, Baruch Berdugo:
Objective Metrics to Evaluate Residual-Echo Suppression During Double-Talk. - Ghulam Jilani Quadri, Paul Rosen:
A Survey of Perception-Based Visualization Studies by Task. - Yajing Luo, Peng Liang, Chong Wang, Mojtaba Shahin, Jing Zhan:
Characteristics and Challenges of Low-Code Development: The Practitioners' Perspective. - Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Data Disclosure with Non-zero Leakage and Non-invertible Leakage Matrix. - Razieh L. Saremi:
A Hybrid Simulation Model for Open Software Development Processes. - Noemie Combe, Yuri I. Manin, Matilde Marcolli:
Moufang Patterns and Geometry of Information. - Jean-Gabriel Young, Alec Kirkley, M. E. J. Newman:
Clustering of heterogeneous populations of networks. - Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Liò:
Algorithmic Concept-based Explainable Reasoning. - Puneet Mangla, Shivam Chandhok, Vineeth N. Balasubramanian, Fahad Shahbaz Khan:
Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. - Liang Xu, Xiaojing Lu, Chenyang Yuan, Xuanwei Zhang, Hu Yuan, Huilin Xu, Guoao Wei, Xiang Pan, Hai Hu:
FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark. - Sudhanshu, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Recommending best course of treatment based on similarities of prognostic markers. - Jie Xu, Tao Chen, Lara Zlokapa, Michael Foshey, Wojciech Matusik, Shinjiro Sueda, Pulkit Agrawal:
An End-to-End Differentiable Framework for Contact-Aware Robot Design. - Paul Pu Liang, Yiwei Lyu, Xiang Fan, Zetian Wu, Yun Cheng, Jason Wu, Leslie Chen, Peter Wu, Michelle A. Lee, Yuke Zhu, Ruslan Salakhutdinov, Louis-Philippe Morency:
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning. - Kenneth Derek, Phillip Isola:
Adaptable Agent Populations via a Generative Model of Policies. - Italo Belli, Matteo Parigi Polverini, Arturo Laurenzi, Enrico Mingo Hoffman, Paolo Rocco, Nikolaos G. Tsagarakis:
Optimization-Based Quadrupedal Hybrid Wheeled-Legged Locomotion. - Guangmo Tong:
USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problems. - Anastasios N. Angelopoulos, Stephen Bates:
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification. - George V. Moustakides, Xujun Liu, Olgica Milenkovic:
Optimal Stopping Methodology for the Secretary Problem with Random Queries. - Xinxin Zuo, Sen Wang, Minglun Gong, Li Cheng:
Unsupervised 3D Human Mesh Recovery from Noisy Point Clouds. - Chong Zhang, Min Dong, Ben Liang:
Fast First-Order Algorithm for Large-Scale Max-Min Fair Multi-Group Multicast Beamforming. - Saravanabalagi Ramachandran, John McDonald:
OdoViz: A 3D Odometry Visualization and Processing Tool. - Zhicheng Cai:
SA-GD: Improved Gradient Descent Learning Strategy with Simulated Annealing. - Nikola B. Kovachki, Samuel Lanthaler, Siddhartha Mishra:
On universal approximation and error bounds for Fourier Neural Operators. - John Mitros, Brian Mac Namee:
On the Importance of Regularisation & Auxiliary Information in OOD Detection. - Mojtaba Komeili, Kurt Shuster, Jason Weston:
Internet-Augmented Dialogue Generation. - Jing Xu, Arthur Szlam, Jason Weston:
Beyond Goldfish Memory: Long-Term Open-Domain Conversation. - Alena Kopanicáková, Rolf Krause:
Globally Convergent Multilevel Training of Deep Residual Networks. - Mohammad Sabik Irbaz, Md Abdullah Al Nasim, Refat E. Ferdous:
Real-Time Face Recognition System for Remote Employee Tracking. - Mann Patel:
Real-Time Violence Detection Using CNN-LSTM. - Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales:
A Channel Coding Benchmark for Meta-Learning. - Alexey Merzlyakov, Steve Macenski:
A Comparison of Modern General-Purpose Visual SLAM Approaches. - Mike A. Botchev:
Coarse grid corrections in Krylov subspace evaluations of the matrix exponential. - Hanna Kurniawati:
Partially Observable Markov Decision Processes (POMDPs) and Robotics. - Md Washik Al Azad, Susmit Shannigrahi, Nicholas Stergiou, Francisco R. Ortega, Spyridon Mastorakis:
CLEDGE: A Hybrid Cloud-Edge Computing Framework over Information Centric Networking. - Alexander Baikovitz, Paloma Sodhi, Michael Dille, Michael Kaess:
CMU-GPR Dataset: Ground Penetrating Radar Dataset for Robot Localization and Mapping. - Qing Chen, Jian Zhang:
Multi-Level Contrastive Learning for Few-Shot Problems. - Zhao Meng, Yihan Dong, Mrinmaya Sachan, Roger Wattenhofer:
Self-Supervised Contrastive Learning with Adversarial Perturbations for Robust Pretrained Language Models. - Yang Shen, Sanjoy Dasgupta, Saket Navlakha:
Algorithmic insights on continual learning from fruit flies. - Ismail Alarab, Simant Prakoonwit:
Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks. - Javad Mirzaei, Shahram ShahbazPanahi, Foad Sohrabi, Raviraj Adve:
Hybrid Analog and Digital Beamforming Design for Channel Estimation in Correlated Massive MIMO Systems. - Luca Ganassali, Laurent Massoulié, Marc Lelarge:
Correlation detection in trees for partial graph alignment. - Thomas Führer, Norbert Heuer, Antti H. Niemi:
A DPG method for shallow shells. - Karl Bringmann, Nick Fischer, Vasileios Nakos:
Deterministic and Las Vegas Algorithms for Sparse Nonnegative Convolution. - Ho Chit Siu, Jaime Daniel Peña, Kimberlee C. Chang, Edenna Chen, Yutai Zhou, Victor J. Lopez, Kyle Palko, Ross E. Allen:
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi. - Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das:
An Energy-Efficient Edge Computing Paradigm for Convolution-based Image Upsampling. - Mattia Spandri, Roberto Ferrara, Christian Deppe:
Reed-Muller Identification. - Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Deepak Gotmare, Shafiq R. Joty, Caiming Xiong, Steven C. H. Hoi:
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation. - Qian Liu, Bei Chen, Jiaqi Guo, Zeqi Lin, Jian-Guang Lou:
TAPEX: Table Pre-training via Learning a Neural SQL Executor. - Shuli Jiang, Dongyu Li, Irene Mengze Li, Arvind V. Mahankali, David P. Woodruff:
Streaming and Distributed Algorithms for Robust Column Subset Selection. - Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara:
Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning. - Giselle Reis:
Facilitating Meta-Theory Reasoning (Invited Paper). 1-12 - Gilles Dowek:
Interacting Safely with an Unsafe Environment. 30-38 - Qinxiang Cao, Xiwei Wu:
Countability of Inductive Types Formalized in the Object-Logic Level. 55-70 - Laila El-Beheiry, Giselle Reis, Ammar Karkour:
SMLtoCoq: Automated Generation of Coq Specifications and Proof Obligations from SML Programs with Contracts. 71-87 - Florian Rabe, Navid Roux:
Systematic Translation of Formalizations of Type Theory from Intrinsic to Extrinsic Style. 88-103 - Mary Southern, Gopalan Nadathur:
Adelfa: A System for Reasoning about LF Specifications. 104-120 - Johannes Schoisswohl, Laura Kovács:
Automating Induction by Reflection. 39-54 - Matthieu Sozeau:
Touring the MetaCoq Project (Invited Paper). 13-29 - Venkatesan Guruswami, Andrii Riazanov:
Linear Programming Bounds for Almost-Balanced Binary Codes. - Daniel D. Johnson, Jacob Austin, Rianne van den Berg, Daniel Tarlow:
Beyond In-Place Corruption: Insertion and Deletion In Denoising Probabilistic Models. - Zida Cheng, Siheng Chen, Ya Zhang:
Semi-supervised 3D Hand-Object Pose Estimation via Pose Dictionary Learning. - Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Lei Pan, Daniel Ma, Sutharshan Rajasegarar, Chandan Karmaker:
ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks. - Yukun Jiang:
The Application of Active Query K-Means in Text Classification. - Yasunori Ishii, Takayoshi Yamashita:
CutDepth: Edge-aware Data Augmentation in Depth Estimation. - Amir M. Mirzendehdel, Morad Behandish, Saigopal Nelaturi:
Optimizing Build Orientation for Support Removal using Multi-Axis Machining. - Ramy Shahin, Robert Hackman, Rafael F. Toledo, S. Ramesh, Joanne M. Atlee, Marsha Chechik:
Applying Declarative Analysis to Software Product Line Models: An Industrial Study. - Liam Magee, Lida Ghahremanlou, Karen Soldatic, Shanthi Robertson:
Intersectional Bias in Causal Language Models. - Yongqing Gao, Guangda Huzhang, Weijie Shen, Yawen Liu, Wen-Ji Zhou, Qing Da, Dan Shen, Yang Yu:
Imitate TheWorld: A Search Engine Simulation Platform. - Hao Wang, Euijoon Ahn, Jinman Kim:
Self-Supervised Learning Framework for Remote Heart Rate Estimation Using Spatiotemporal Augmentation. - Long Kiu Chung, Adam Dai, Derek Knowles, Shreyas Kousik, Grace Xingxin Gao:
Constrained Feedforward Neural Network Training via Reachability Analysis. - Peng Zhao, Chen Li, Md Mamunur Rahaman, Hechen Yang, Tao Jiang, Marcin Grzegorzek:
A Comparison of Deep Learning Classification Methods on Small-scale Image Data set: from Convolutional Neural Networks to Visual Transformers. - Chris U. Carmona, François-Xavier Aubet, Valentin Flunkert, Jan Gasthaus:
Neural Contextual Anomaly Detection for Time Series. - Otmar Ertl:
Estimation from Partially Sampled Distributed Traces. - Qin Ruan, Brian Mac Namee, Ruihai Dong:
Pseudo-labelling Enhanced Media Bias Detection. - Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin:
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference. - Ming Xu, Tobias Fischer, Niko Sünderhauf, Michael Milford:
Probabilistic Appearance-Invariant Topometric Localization with New Place Awareness. - Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP:
ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data. - Giseop Kim, Ayoung Kim:
LT-mapper: A Modular Framework for LiDAR-based Lifelong Mapping. - Rushil Gupta, Vishal Sharma, Yash Jain, Yitao Liang, Guy Van den Broeck, Parag Singla:
Towards an Interpretable Latent Space in Structured Models for Video Prediction. - Ricardo Barata, Miguel Leite, Ricardo Pacheco, Marco O. P. Sampaio, João Tiago Ascensão, Pedro Bizarro:
Active learning for online training in imbalanced data streams under cold start. - Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab S. Mirrokni:
Bidding and Pricing in Budget and ROI Constrained Markets. - Masahiro Hamano:
Double Glueing over Free Exponential: with Measure Theoretic Applications. - Christof Henkel, Pascal Pfeiffer, Philipp Singer:
Recognizing bird species in diverse soundscapes under weak supervision. - Shivshankar Reddy, Anand Vir Singh Chauhan, Maneet Singh, Karamjit Singh:
Semi-supervised Learning for Marked Temporal Point Processes. - Yi Liu, Jie Li, Xiaohu Tang:
A Generic Transformation to Generate MDS Storage Codes with δ-Optimal Access Property. - Jesús López-Fernández, Pablo Ramirez-Espinosa, Juan M. Romero-Jerez, Francisco Javier López-Martínez:
A Fluctuating Line-of-Sight Fading Model with Double-Rayleigh Diffuse Scattering. - Jinyin Chen, Dunjie Zhang, Zhaoyan Ming, Mingwei Jia, Yi Liu:
EGC2: Enhanced Graph Classification with Easy Graph Compression. - Yang Li, Jiazheng Li, Yi Wang:
Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach. - Hao Chen, Ming Jin, Zhunan Li, Cunhang Fan, Jinpeng Li, Huiguang He:
MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition. - Niel Teng Hu, Xinyu Hu, Rosanne Liu, Sara Hooker, Jason Yosinski:
When does loss-based prioritization fail? - Patrizia Sailer, Igor Ivkic, Markus Tauber, Andreas Mauthe, Antonios Gouglidis:
Analysing Design Approaches for the Power Consumption in Cyber-Physical Systems. - Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian:
Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition. - Anna Evtushenko, Jon M. Kleinberg:
The Paradox of Second-Order Homophily in Networks. - Christopher T. H. Teo, Ngai-Man Cheung:
Measuring Fairness in Generative Models. - Idoia Cortes Garcia, Iryna Kulchytska-Ruchka, Sebastian Schöps:
Parareal for Higher Index Differential Algebraic Equations. - Wei Zhou, Le Guan, Peng Liu, Yuqing Zhang:
Automatic Firmware Emulation through Invalidity-guided Knowledge Inference (Extended Version). - Daniel Yago, Juan Carlos Cante, Oriol Lloberas-Valls, Javier Oliver:
Topology optimization using the unsmooth variational topology optimization (UNVARTOP) method. An educational implementation in Matlab. - Ali Raheman, Anton Kolonin, Ben Goertzel, Gergely Hegykozi, Ikram Ansari:
Architecture of Automated Crypto-Finance Agent. - Yajing Sun, Yue Hu, Luxi Xing, Yuqiang Xie, Xiangpeng Wei:
Know Deeper: Knowledge-Conversation Cyclic Utilization Mechanism for Open-domain Dialogue Generation. - Yang Li, Meng Han, Zhen Yang, Guoqing Li:
Coordinating Flexible Demand Response and Renewable Uncertainties for Scheduling of Community Integrated Energy Systems with an Electric Vehicle Charging Station: A Bi-level Approach. - Yizhi Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
More Robust Dense Retrieval with Contrastive Dual Learning. - Giuseppe Orlando, Alessandro Della Rocca, Paolo Francesco Barbante, Luca Bonaventura, Nicola Parolini:
An efficient and accurate implicit DG solver for the incompressible Navier-Stokes equations. - Patrick Hübner, Martin Weinmann, Sven Wursthorn, Stefan Hinz:
Pose Normalization of Indoor Mapping Datasets Partially Compliant to the Manhattan World Assumption. - Igor Ivkic, Patrizia Sailer, Antonios Gouglidis, Andreas Mauthe, Markus Tauber:
A Security Cost Modelling Framework for Cyber-Physical Systems. - Elona Shatri, György Fazekas:
DoReMi: First glance at a universal OMR dataset. - Nico Engel, Vasileios Belagiannis, Klaus Dietmayer:
Attention-based Vehicle Self-Localization with HD Feature Maps. - Bo Pang, Zhong-Ping Jiang:
Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems. - Mathieu Pont, Jules Vidal, Julie Delon, Julien Tierny:
Wasserstein Distances, Geodesics and Barycenters of Merge Trees. - Zahra Gharaee, Shreyas Kowshik, Oliver Stromann, Michael Felsberg:
Graph Representation Learning for Road Type Classification. - Karl Bringmann, Anne Driemel, André Nusser, Ioannis Psarros:
Tight Bounds for Approximate Near Neighbor Searching for Time Series under the Fréchet Distance. - Wenbo Hu, Changgong Zhang, Fangneng Zhan, Lei Zhang, Tien-Tsin Wong:
Conditional Directed Graph Convolution for 3D Human Pose Estimation. - Antonios Antoniadis, Gunjan Kumar, Nikhil Kumar:
Skeletons and Minimum Energy Scheduling. - Talha Qaiser, Stefan Winzeck, Theodore Barfoot, Tara Barwick, Simon J. Doran, Martin F. Kaiser, Linda Wedlake, Nina Tunariu, Dow-Mu Koh, Christina Messiou, Andrea G. Rockall, Ben Glocker:
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification. - K. I. Mihajlenko, M. A. Lukin, A. S. Stankevich:
A method for decompilation of AMD GCN kernels to OpenCL. - Camille Bourgaux, David Carral, Markus Krötzsch, Sebastian Rudolph, Michaël Thomazo:
Capturing Homomorphism-Closed Decidable Queries with Existential Rules. - Sarah Basharat, Syed Ali Hassan, Aamir Mahmood, Zhiguo Ding, Mikael Gidlund:
Reconfigurable Intelligent Surface-Assisted Backscatter Communication: A New Frontier for Enabling 6G IoT Networks. - Julián Mestre, Sergey Pupyrev, Seeun William Umboh:
On the Extended TSP Problem. - Roman Kolcun, Diana Andreea Popescu, Vadim Safronov, Poonam Yadav, Anna Maria Mandalari, Richard Mortier, Hamed Haddadi:
Revisiting IoT Device Identification. - Puck de Haan, Sindy Löwe:
Contrastive Predictive Coding for Anomaly Detection. - Precious Ugo Abara, Sandra Hirche:
Distributed Value of Information in Feedback Control over Multi-hop Networks. - Aoyu Wu, Yun Wang, Mengyu Zhou, Xinyi He, Haidong Zhang, Huamin Qu, Dongmei Zhang:
MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation. - Kostas Blekos, Stavros Nousias, Aris S. Lalos:
Efficient automated U-Net based tree crown delineation using UAV multi-spectral imagery on embedded devices. - Kannan Nagajothi, Sravan Danda, Aditya Challa, B. S. Daya Sagar:
A Theoretical Analysis of Granulometry-based Roughness Measures on Cartosat DEMs. - Arpita Chaudhuri, Debasis Samanta, Monalisa Sarma:
Modeling User Behaviour in Research Paper Recommendation System. - Yinglong He, Marcello Montanino, Konstantinos Mattas, Vincenzo Punzo, Biagio Ciuffo:
Physics-augmented models to simulate commercial adaptive cruise control (ACC) systems. - Alexandre Richard, Xiaolu Tan, Fan Yang:
On the discrete-time simulation of the rough Heston model. - Runde Li:
Progressive Deep Video Dehazing without Explicit Alignment Estimation. - Christian Konrad, Kheeran K. Naidu:
On Two-Pass Streaming Algorithms for Maximum Bipartite Matching. - Shivani Choudhary, Tarun Luthra, Ashima Mittal, Rajat Singh:
A Survey of Knowledge Graph Embedding and Their Applications. - Mathias Thor, Poramate Manoonpong:
Versatile modular neural locomotion control with fast learning. - Rafail Ismayilov, Renato L. G. Cavalcante, Slawomir Stanczak:
Deep Learning Beam Optimization in Millimeter-Wave Communication Systems. - Antonyo Musabini, Evin Bozbayir, Hervé Marcasuzaa, Omar Adair Islas Ramírez:
Park4U Mate: Context-Aware Digital Assistant for Personalized Autonomous Parking. - Hyeon Jeon, Hyung-Kwon Ko, Jaemin Jo, Youngtaek Kim, Jinwook Seo:
Measuring and Explaining the Inter-Cluster Reliability of Multidimensional Projections. - Vittorio Cipolla, Vincenzo Binante, Karim Abu Salem, Giuseppe Palaia, Davide Zanetti:
A DoE-based approach for the implementation of structural surrogate models in the early stage design of box-wing aircraft. - Genshen Chu, Yang Li, Runchu Zhao, Shuai Ren, Wen Yang, Xinfu He, Chungjun Hu, Jue Wang:
MD Simulation of Hundred-Billion-Metal-Atom Cascade Collision on Sunway Taihulight. - Syed Ali Raza Zaidi:
Nearest neighbor Methods and their Applications in Design of 5G & Beyond Wireless Networks. - Igor Muniz Soares, Fernando H. F. Camargo, Adriano Marques:
Ranking labs-of-origin for genetically engineered DNA using Metric Learning. - Yifei Jiang, Yi Li, Yiming Sun, Jiaxin Wang, David P. Woodruff:
Single Pass Entrywise-Transformed Low Rank Approximation. - Christian Voigt, Stephan Schlögl, Aleksander Groth:
Dark Patterns in Online Shopping: Of Sneaky Tricks, Perceived Annoyance and Respective Brand Trust. - Stefano Cassano, Christian Landry, Christophe Nicolet, Fabrizio Sossan:
Performance Assessment of Linear Models of Hydropower Plants. - Elisa Maiettini, Vadim Tikhanoff, Lorenzo Natale:
Weakly-Supervised Object Detection Learning through Human-Robot Interaction. - Jordi Armengol-Estapé, Casimiro Pio Carrino, Carlos Rodríguez Penagos, Ona De Gibert Bonet, Carme Armentano-Oller, Aitor Gonzalez-Agirre, Maite Melero, Marta Villegas:
Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan. - Hong-Xing Yu, Leonidas J. Guibas, Jiajun Wu:
Unsupervised Discovery of Object Radiance Fields. - Simeon Ball, James Dixon:
The equivalence of linear codes implies semi-linear equivalence. - Marzieh Eskandari, Bhavika B. Khare, Nirman Kumar:
Separated Red Blue Center Clustering. - Alvi Ataur Khalil, Javier Franco, Imtiaz Parvez, A. Selcuk Uluagac, Mohammad Ashiqur Rahman:
A Literature Review on Blockchain-enabled Security and Operation of Cyber-Physical Systems. - Simone Fabbrizzi, Symeon Papadopoulos, Eirini Ntoutsi, Ioannis Kompatsiaris:
A Survey on Bias in Visual Datasets. - Martina Lippi, Alessandro Marino:
Safety in human-multi robot collaborative scenarios: a trajectory scaling approach. - Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan:
BRR: Preserving Privacy of Text Data Efficiently on Device. - Kangda Zhi, Cunhua Pan, Hong Ren, Kezhi Wang:
Ergodic Rate Analysis of Reconfigurable Intelligent Surface-Aided Massive MIMO Systems with ZF Detectors. - Muhammed Muzammul, Xi Li:
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets. - Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan:
TEM: High Utility Metric Differential Privacy on Text. - Chaos Dong, Fang Wang:
DxHash: A Scalable Consistent Hash Based on the Pseudo-Random Sequence. - Bolun Dai, Virinchi Roy Surabhi, Prashanth Krishnamurthy, Farshad Khorrami:
Learning Locomotion Controllers for Walking Using Deep FBSDE. - Vivien Sainte Fare Garnot, Loïc Landrieu:
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks. - Pengju Zhang, Yonghui Jia, Muhua Zhu, Wenliang Chen, Min Zhang:
Exploiting Rich Syntax for Better Knowledge Base Question Answering. - Yugo Shimizu, Ryosuke Furuta, Delong Ouyang, Yukinobu Taniguchi, Ryota Hinami, Shonosuke Ishiwatari:
Painting Style-Aware Manga Colorization Based on Generative Adversarial Networks. - Daniel Russo, Paul H. P. Hanel, Seraphina Altnickel, Niels van Berkel:
Developers Task Satisfaction and Performance during the COVID-19 Pandemic. - Matthias Bolten, Paola Ferrari, Isabella Furci:
Symbol Based Convergence Analysis in Block Multigrid Methods with applications for Stokes problems. - Hang Li, Yu Kang, Yang Hao, Wenbiao Ding, Zhongqin Wu, Zitao Liu:
A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation. - Shiting Xu, Guowei Xu, Peilei Jia, Wenbiao Ding, Zhongqin Wu, Zitao Liu:
Automatic Task Requirements Writing Evaluation via Machine Reading Comprehension. - Yang Hao, Xiao Zhai, Wenbiao Ding, Zitao Liu:
Temporal-aware Language Representation Learning From Crowdsourced Labels. - Farooq Aslam, Muhammad Farooq Haydar:
H∞ Inverse Optimal Attitude Tracking on the Special Orthogonal Group SO(3). - Yongxin Zhang, Jiahai Wang, Zizhen Zhang, Yalan Zhou:
MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization. - Bosubabu Sambana:
Blockchain Technology: Bitcoins, Cryptocurrency and Applications. - J. P. de Jong:
Controlling Recurrent Neural Networks by Diagonal Conceptors. - Camille Koenders, Johannes Filla, Nicolai Schneider, Vinicius Woloszyn:
How Vulnerable Are Automatic Fake News Detection Methods to Adversarial Attacks? - Ege Erdogan, Can Arda Aydin, Öznur Özkasap, Waris Gill:
Demo - Zelig: Customizable Blockchain Simulator. - Wilbert Heeringa, Gosse Bouma, Martha Hofman, Eduard Drenth, Jan Wijffels, Hans Van de Velde:
POS tagging, lemmatization and dependency parsing of West Frisian. - Tim Hahn, Jan Ernsting, Nils R. Winter, Vincent Holstein, Ramona Leenings, Marie Beisemann, Lukas Fisch, Kelvin Sarink, Daniel Emden, Nils Opel, Ronny Redlich, Jonathan Repple, Dominik Grotegerd, Susanne Meinert, Jochen G. Hirsch, Thoralf Niendorf, Beate Endemann, Fabian Bamberg, Thomas Kröncke, Robin Bülow, Henry Völzke, Oyunbileg von Stackelberg, Ramona Felizitas Sowade, Lale Umutlu, Börge Schmidt, Svenja Caspers, Harald Kugel, Tilo Kircher, Benjamin Risse, Christian Gaser, James H. Cole, Udo Dannlowski, Klaus Berger:
An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling. - Yuwen Li:
Nodal auxiliary space preconditioning for the surface de Rham complex. - Gian Maria Negri Porzio, Vanni Noferini, Leonardo Robol:
Tropical Laurent series, their tropical roots, and localization results for the eigenvalues of nonlinear matrix functions. - Zhi Gang Liu, Paul N. Whatmough, Yuhao Zhu, Matthew Mattina:
S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration. - Elias Josse, Amanda Nerborg, Kevin Hernandez-Diaz, Fernando Alonso-Fernandez:
In-Bed Person Monitoring Using Thermal Infrared Sensors. - Mingrui Chen, Weiyu Li, Weizhi Lu:
Deep Learning to Ternary Hash Codes by Continuation. - Hao Liang, Lulan Yu, Guikang Xu, Bhiksha Raj, Rita Singh:
Controlled AutoEncoders to Generate Faces from Voices. - Yaqing Wang, Abulikemu Abuduweili, Dejing Dou:
Property-aware Adaptive Relation Networks for Molecular Property Prediction. - Francesca Tavazza, Brian DeCost, Kamal Choudhary:
Uncertainty Prediction for Machine Learning Models of Material Properties. - Krzysztof Choromanski, Han Lin, Haoxian Chen, Jack Parker-Holder:
Graph Kernel Attention Transformers. - Chull Hwan Song, Hye Joo Han, Yannis Avrithis:
All the attention you need: Global-local, spatial-channel attention for image retrieval. - Noemie Combe, Yuri I. Manin, Matilde Marcolli:
Geometry of Information: classical and quantum aspects. - Jiantao Shi, Ye Guo, Lang Tong, WenChuan Wu, Hongbin Sun:
A Scenario-oriented Approach to Energy-Reserve Joint Procurement and Pricing. - Shaan Desai, Marios Mattheakis, David Sondak, Pavlos Protopapas, Stephen J. Roberts:
Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems. - Tanveer Khan, Antonis Michalas:
Seeing and Believing: Evaluating the Trustworthiness of Twitter Users. - Jan Berg, Konstantinos Drossos:
Continual Learning for Automated Audio Captioning Using The Learning Without Forgetting Approach. - Lina Achaji, Julien Moreau, Thibault Fouqueray, François Aioun, François Charpillet:
Is attention to bounding boxes all you need for pedestrian action prediction? - Pamela Bilo Thomas, Clark Hogan-Taylor, Michael Yankoski, Tim Weninger:
Pilot Study Suggests Online Media Literacy Programming Reduces Belief in False News in Indonesia. - Guillaume Le Moing, Jean Ponce, Cordelia Schmid:
CCVS: Context-aware Controllable Video Synthesis. - Dirk Beyer, Lars Grunske, Thomas Lemberger, Minxing Tang:
Towards a Benchmark Set for Program Repair Based on Partial Fixes. - Zhizhong Li, Avinash Ravichandran, Charless C. Fowlkes, Marzia Polito, Rahul Bhotika, Stefano Soatto:
Representation Consolidation for Training Expert Students. - Carlos Mougan Navarro, Georgios Kanellos, Thomas Gottron:
Desiderata for Explainable AI in statistical production systems of the European Central Bank. - Yves-Laurent Kom Samo:
LeanML: A Design Pattern To Slash Avoidable Wastes in Machine Learning Projects. - Bao Thach, Alan Kuntz, Tucker Hermans:
DeformerNet: A Deep Learning Approach to 3D Deformable Object Manipulation. - Jim G. Dai, Mark O. Gluzman:
Refined Policy Improvement Bounds for MDPs. - Jorge Guevara Diaz, Dario Borges, Campbell D. Watson, Bianca Zadrozny:
A comparative study of stochastic and deep generative models for multisite precipitation synthesis. - Alejandro Jofré, Angel Pardo, David Salas, Victor Verdugo, José Verschae:
The Convergence Rates of Blockchain Mining Games: A Markovian Approach. - Yue Gao, Kry Yik Chau Lui, Pablo Hernandez-Leal:
Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets. - Raman Goyal, Ran Wang, Suman Chakravorty, Robert E. Skelton:
Partially-Observed Decoupled Data-based Control (POD2C) for Complex Robotic Systems. - Nadiia Chepurko, Kenneth L. Clarkson, Praneeth Kacham, David P. Woodruff:
Near-Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time. - Rudolf A. Braun, Srikanth R. Madikeri, Petr Motlícek:
A Comparison of Methods for OOV-word Recognition on a New Public Dataset. - Nghia Truong, Cem Yuksel, Chakrit Watcharopas, Joshua A. Levine, Robert M. Kirby:
Particle Merging-and-Splitting. - Rachit Rajat, Yongqin Wang, Murali Annavaram:
Look Ahead ORAM: Obfuscating Addresses in Recommendation Model Training. - Divya Shanmugam, Samira Shabanian, Fernando Diaz, Michèle Finck, Asia Biega:
Learning to Limit Data Collection via Scaling Laws: Data Minimization Compliance in Practice. - Wieslaw Kubiak:
On the complexity of open shop scheduling with time lags. - Yuanchao Xu, Amal Feriani, Ekram Hossain:
Decentralized Multi-Agent Reinforcement Learning for Task Offloading Under Uncertainty. - Gordana Dodig-Crnkovic, Tobias Holstein, Patrizio Pelliccione:
Future Intelligent Autonomous Robots, Ethical by Design. Learning from Autonomous Cars Ethics. - Marcelo Raschi, Oriol Lloberas-Valls, Alfredo Huespe, Javier Oliver:
High performance reduction technique for multiscale finite element modeling (HPR-FE2): towards industrial multiscale FE software. - Oskar Wysocki, Malina Florea, Donal Landers, André Freitas:
Architectures of Meaning, A Systematic Corpus Analysis of NLP Systems. - Allison Hegel, Marina Shah, Genevieve Peaslee, Brendan Roof, Emad Elwany:
The Law of Large Documents: Understanding the Structure of Legal Contracts Using Visual Cues. - Michael Kruse:
Loop Transformations using Clang's Abstract Syntax Tree. - Yang Li, Kevin B. Korb, Lloyd Allison:
Markov Blanket Discovery using Minimum Message Length. - Hyeok Kim, Ryan A. Rossi, Abhraneel Sarma, Dominik Moritz, Jessica Hullman:
An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization. - Ashesh Jain, Luca Del Pero, Hugo Grimmett, Peter Ondruska:
Autonomy 2.0: Why is self-driving always 5 years away? - Abhishek Cauligi, Preston Culbertson, Edward Schmerling, Mac Schwager, Bartolomeo Stellato, Marco Pavone:
CoCo: Online Mixed-Integer Control via Supervised Learning. - Peter Jansen:
Darmok and Jalad at Tanagra: A Dataset and Model for English-to-Tamarian Translation. - Young Geun Kim, Carole-Jean Wu:
AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning. - Piero Molino, Christopher Ré:
Declarative Machine Learning Systems. - Cristiana de Farias, Maxime Adjigble, Brahim Tamadazte, Rustam Stolkin, Naresh Marturi:
Dual Quaternion-Based Visual Servoing for Grasping Moving Objects. - Joao V. C. Evangelista, Georges Kaddoum, Zeeshan Sattar:
Reliability and User-Plane Latency Analysis of mmWave Massive MIMO for Grant-Free URLLC Applications. - Denizalp Goktas, Enrique Areyan Viqueira, Amy Greenwald:
Tâtonnement Beyond Constant Elasticity of Substitution. - Subash Humagain, Roopak Sinha:
Routing Autonomous Emergency Vehicles in Smart Cities Using Real Time Systems Analogy: A Conceptual Model. - Aleksei Petrenko, Erik Wijmans, Brennan Shacklett, Vladlen Koltun:
Megaverse: Simulating Embodied Agents at One Million Experiences per Second. - Binzong Geng, Fajie Yuan, Qiancheng Xu, Ying Shen, Ruifeng Xu, Min Yang:
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking. - Marzieh Eskandari, Bahram Sadeghi Bigham:
Lower Bound for Sculpture Garden Problem. - Peixin Zhang, Jingyi Wang, Jun Sun, Xinyu Wang, Guoliang Dong, Xingen Wang, Ting Dai, Jin Song Dong:
Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling. - Sunanda Thunder, Parthasarathi Pal, Yeong-Her Wang, Po-Tsang Huang:
Ultra Low Power 3D-Embedded Convolutional Neural Network Cube Based on α-IGZO Nanosheet and Bi-Layer Resistive Memory. - Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain:
Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model. - Shihui Han, Roopak Sinha, Andrew Lowe:
Assessing Support for Industry Standards in Reference Medical Software Architectures. - Hengli Wang, Rui Fan, Ming Liu:
Co-Teaching: An Ark to Unsupervised Stereo Matching. - Hengli Wang, Rui Fan, Ming Liu:
SCV-Stereo: Learning Stereo Matching from a Sparse Cost Volume. - David Wadden, Kyle Lo:
Overview and Insights from the SciVer Shared Task on Scientific Claim Verification. - Anand Avati, Martin Seneviratne, Emily Xue, Zhen Xu, Balaji Lakshminarayanan, Andrew M. Dai:
BEDS-Bench: Behavior of EHR-models under Distributional Shift-A Benchmark. - Maksim Ekin Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S. Alexandrov, Charles Nicholas:
COVID-19 Multidimensional Kaggle Literature Organization. - Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Yuan He, Hui Xue:
RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition. - Abhishek Dandekar:
Towards autonomic orchestration of machine learning pipelines in future networks. - Jiahua Luo, Chi-Man Vong, Jie Du:
Sparse Bayesian Learning with Diagonal Quasi-Newton Method For Large Scale Classification. - Hishan Parry, Lei Xun, Amin Sabet, Jia Bi, Jonathon S. Hare, Geoff V. Merrett:
Dynamic Transformer for Efficient Machine Translation on Embedded Devices. - Hamed Haggi, Wei Sun, James M. Fenton, Paul Brooker:
Proactive Rolling-Horizon based Scheduling of Hydrogen Systems for Resilient Power Grids. - Yiru Chen, Eugene Wu:
PI2: Generating Visual Analysis Interfaces From Queries. - Zhihuan Huang, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck, Shengwei Xu:
BONUS! Maximizing Surprise. - Stefan Muench, Mike Roellig, Daniel Balzani:
A new Method for the in vivo identification of material properties of the human eye. Feasibility analysis based on synthetic data. - Soumyadeep Ghosh, Sanjay Kumar, Janu Verma, Awanish Kumar:
Self Training with Ensemble of Teacher Models. - Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu:
On the Copying Behaviors of Pre-Training for Neural Machine Translation. - Hui-Zhen Fu, Ludo Waltman:
A large-scale bibliometric analysis of global climate change research between 2001 and 2018. - Qi Liu, Joseph Y. J. Chow:
A congested schedule-based dynamic transit passenger flow estimator using stop count data. - Lukas Schott, Julius von Kügelgen, Frederik Träuble, Peter V. Gehler, Chris Russell, Matthias Bethge, Bernhard Schölkopf, Francesco Locatello, Wieland Brendel:
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain. - Lisha Tang, Yi Wang, Lap-Pui Chau:
Looking Twice for Partial Clues: Weakly-supervised Part-Mentored Attention Network for Vehicle Re-Identification. - Subash Humagain, Roopak Sinha:
Dynamic Prioritization of Emergency Vehicles For Self-Organizing Traffic using VTL+EV. - Aske Plaat, Walter A. Kosters, Mike Preuss:
High-Accuracy Model-Based Reinforcement Learning, a Survey. - Saravanabalagi Ramachandran, Ganesh Sistu, John McDonald, Senthil Kumar Yogamani:
Woodscape Fisheye Semantic Segmentation for Autonomous Driving - CVPR 2021 OmniCV Workshop Challenge. - Jack Weston, Raphael Lenain, Udeepa Meepegama, Emil Fristed:
Learning De-identified Representations of Prosody from Raw Audio. - Jie Luo, Jakub M. Tomczak, Ágoston E. Eiben:
The Effects of Learning in Morphologically Evolving Robot Systems. - Jack Weston, Raphael Lenain, Udeepa Meepegama, Emil Fristed:
Generative Pretraining for Paraphrase Evaluation. - Yuliya Lierler:
Constraint Answer Set Programming: Integrational and Translational (or SMT-based) Approaches. - Carlos Gustavo López Pombo, Thomas Stephen Edward Maibaum:
A proof theoretic basis for relational semantics. - Wenshuo Wang, Chen Wu, Liang Cheng, Yang Zhang:
Tea: Program Repair Using Neural Network Based on Program Information Attention Matrix. - Xingbo Wang, Jianben He, Zhihua Jin, Muqiao Yang, Huamin Qu:
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis. - Wenzheng Xu, Yueying Sun, Rui Zou, Weifa Liang, Qiufen Xia, Feng Shan, Tian Wang, Xiaohua Jia, Zheng Li:
Throughput Maximization of UAV Networks. - Kyros Jalife, Casper Harteveld, Christoffer Holmgård:
From Flow to Fuse: A Cognitive Perspective. - Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi:
Learning Fair Equilibria in Sponsored Search Auctions. - Hengguan Huang, Hongfu Liu, Hao Wang, Chang Xiao, Ye Wang:
STRODE: Stochastic Boundary Ordinary Differential Equation. - Yijin Huang, Li Lin, Pujin Cheng, Junyan Lyu, Xiaoying Tang:
Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images. - Dimitris Fotakis, Evangelia Gergatsouli, Themis Gouleakis, Nikolas Patris:
Learning Augmented Online Facility Location. - Mathew C. Francis, Pavol Hell, Dalu Jacob:
On the Kernel and Related Problems in Interval Digraphs. - Qin Wang, Shiping Chen, Yang Xiang:
Anonymous Blockchain-based System for Consortium. - Alan Chan, Hugo Silva, Sungsu Lim, Tadashi Kozuno, A. Rupam Mahmood, Martha White:
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences. - Emre Mengi:
Large-Scale Estimation of Dominant Poles of a Transfer Function by an Interpolatory Framework. - Lakshya Kumar, Sagnik Sarkar:
Neural Search: Learning Query and Product Representations in Fashion E-commerce. - Mislav Blazevic, Stefan Canzar, Khaled M. Elbassioni, Domagoj Matijevic:
Anti Tai Mapping for Unordered Labeled Trees. - Amal Feriani, Amine Mezghani, Ekram Hossain:
On the Robustness of Deep Reinforcement Learning in IRS-Aided Wireless Communications Systems. - Aravindh Krishnamoorthy, Robert Schober:
Downlink MIMO-RSMA with Successive Null-Space Precoding. - Samuel Sokota, Christian Schröder de Witt, Maximilian Igl, Luisa M. Zintgraf, Philip H. S. Torr, Shimon Whiteson, Jakob N. Foerster:
Implicit Communication as Minimum Entropy Coupling. - Tin Vu, Sara Migliorini, Ahmed Eldawy, Alberto Belussi:
Spatial Data Generators. - Saksham Bhushan, Maode Ma:
Priority-Queue based Dynamic Scaling for Efficient Resource Allocation in Fog Computing. - Samira Zare, Hien Van Nguyen:
PICASO: Permutation-Invariant Cascaded Attentional Set Operator. - Zhe Yu:
Fair Balance: Mitigating Machine Learning Bias Against Multiple Protected Attributes With Data Balancing. - Xing Di, Shuowen Hu, Vishal M. Patel:
Heterogeneous Face Frontalization via Domain Agnostic Learning. - Karishma Sharma, Emilio Ferrara, Yan Liu:
Characterizing Online Engagement with Disinformation and Conspiracies in the 2020 U.S. Presidential Election. - Omer Aydin, Ibrahim Ismail Erhan:
Video or Image Transmission Security for ESP-EYE IoT device used in Business Processes. - Viet-Khoa Vo-Ho, Ngan Le, Kashu Yamazaki, Akihiro Sugimoto, Minh-Triet Tran:
Agent-Environment Network for Temporal Action Proposal Generation. - Peide Cai, Hengli Wang, Huaiyang Huang, Yuxuan Liu, Ming Liu:
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning. - Anderson da Silva, Teresa Bernarda Ludermir:
Otimizacao de Redes Neurais atraves de Algoritmos Geneticos Celulares. - Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, Hao Jiang, Zhicheng Dou:
Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals. - Jesse Chen, Behnam Dezfouli:
Predictable Bandwidth Slicing with Open vSwitch. - Venkata Siva Santosh Ganji, Tzu-Hsiang Lin, Jaewon Kim, P. R. Kumar:
Silent Tracker: In-band Beam Management for Soft Handover for mm-Wave Networks. - Puneet Kumar, Jesse Chen, Behnam Dezfouli:
QuicSDN: Transitioning from TCP to QUIC for Southbound Communication in SDNs. - Anupama Chingacham, Vera Demberg, Dietrich Klakow:
Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension Errors. - Ruolin Li, Philip N. Brown, Roberto Horowitz:
Employing Altruistic Vehicles at On-ramps to Improve the Social Traffic Conditions. - Anthony Peruma, Venera Arnaoudova, Christian D. Newman:
IDEAL: An Open-Source Identifier Name Appraisal Tool. - Yinqiong Cai, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Yanyan Lan, Xueqi Cheng:
A Discriminative Semantic Ranker for Question Retrieval. - Haipeng Luo, Chen-Yu Wei, Chung-Wei Lee:
Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses. - Xin Pei, Deval Mehta:
Beyond a binary of (non)racist tweets: A four-dimensional categorical detection and analysis of racist and xenophobic opinions on Twitter in early Covid-19. - Dipankar Chaki, Athman Bouguettaya:
Adaptive Priority-based Conflict Resolution of IoT Services. - Vitor Greati, Sérgio Marcelino, João Marcos:
Proof Search on Bilateralist Judgments over Non-deterministic Semantics. - Payam Delgosha, Venkat Anantharam:
A Universal Lossless Compression Method applicable to Sparse Graphs and Heavy-Tailed Sparse Graphs. - Satoshi Takahashi, Keiko Yamaguchi, Asuka Watanabe:
A Novel Approach to Analyze Fashion Digital Archive from Humanities. - Chirag Gupta, Aaditya K. Ramdas:
Top-label calibration. - Xingbo Wang, Yao Ming, Tongshuang Wu, Haipeng Zeng, Yong Wang, Huamin Qu:
DeHumor: Visual Analytics for Decomposing Humor. - Jun Wang, Chang Xu, Francisco Guzmán, Ahmed El-Kishky, Benjamin I. P. Rubinstein, Trevor Cohn:
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation. - Akshay Thirugnanam, Jun Zeng, Koushil Sreenath:
A Duality-based Approach for Real-time Obstacle Avoidance between Polytopes with Control Barrier Functions. - Xiangheng He, Junjie Chen, Georgios Rizos, Björn W. Schuller:
An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation. - Bing Sun, Jun Sun, Ting Dai, Lijun Zhang:
Probabilistic Verification of Neural Networks Against Group Fairness. - Triet Huynh Minh Le, Huaming Chen, Muhammad Ali Babar:
A Survey on Data-driven Software Vulnerability Assessment and Prioritization. - Bowen Tang, Chenggang Wu, Zhe Wang, Lichen Jia, Pen-Chung Yew, Yueqiang Cheng, Yinqian Zhang, Chenxi Wang, Guoqing Harry Xu:
SpecBox: A Label-Based Transparent Speculation Scheme Against Transient Execution Attacks. - Sayak Paul, Siddha Ganju:
Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning. - Liangqiong Qu, Niranjan Balachandar, Daniel L. Rubin:
An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging. - Mikhail Burov, Can Kizilkale, Alexander Kurzhanskiy, Murat Arcak:
Detecting Braess Routes: an Algorithm Accounting for Queuing Delays With an Extended Graph. - Zhou Shao, Tong Lin:
A New Adaptive Gradient Method with Gradient Decomposition. - Rumia Masburah, Sayan Sinha, Rajib Lochan Jana, Soumyajit Dey, Qi Zhu:
Co-designing Intelligent Control of Building HVACs and Microgrids. - Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei:
A Survey on Role-Oriented Network Embedding. - Hsu-Hsun Chin, Ren-Song Tsay, Hsin-I Wu:
A High-Performance Adaptive Quantization Approach for Edge CNN Applications. - Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He:
GuideBoot: Guided Bootstrap for Deep Contextual Bandits. - Baiju Zhang, Hengguang Li, Zhimin Zhang:
Solving Biharmonic Eigenvalue Problem With Navier Boundary Condition Via Poisson Solvers On Non-Convex Domains. - Tarannum Nisha, Duong Tung Nguyen, Vijay K. Bhargava:
A Bilevel Programming Framework for Joint Edge Resource Management and Pricing. - Shai Ben-Assayag, Ran El-Yaniv:
Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN. - Dongze Lian, Zehao Yu, Xing Sun, Shenghua Gao:
AS-MLP: An Axial Shifted MLP Architecture for Vision. - Tong He, Chunhua Shen, Anton van den Hengel:
Dynamic Convolution for 3D Point Cloud Instance Segmentation. - Laurent Lejeune, Raphael Sznitman:
A Positive/Unlabeled Approach for the Segmentation of Medical Sequences using Point-Wise Supervision. - Marco Podda, Davide Bacciu:
GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation. - Juan José Nieto, Roger Creus, Xavier Giró-i-Nieto:
Unsupervised Skill-Discovery and Skill-Learning in Minecraft. - Andrei Velichko, Hanif Heidari:
A method for estimating the entropy of time series using artificial neural network. - Farnaz Tahmasebian, Jian Lou, Li Xiong:
RobustFed: A Truth Inference Approach for Robust Federated Learning. - Laura Giordano, Alberto Martelli, Daniele Theseider Dupré:
Reasoning about actions with EL ontologies with temporal answer sets. - Shutai Wang, Qiang Fu, Yinhao Hu, Chunhua Zhang, Wei He:
A Miniature Biological Eagle-Eye Vision System for Small Target Detection. - Ishika Singh, Gargi Singh, Ashutosh Modi:
Pre-trained Language Models as Prior Knowledge for Playing Text-based Games. - André Duarte, Konstantin Korovin:
AC Simplifications and Closure Redundancies in the Superposition Calculus. - Zhongliang Jiang, Yue Zhou, Yuan Bi, Mingchuan Zhou, Thomas Wendler, Nassir Navab:
Deformation-Aware Robotic 3D Ultrasound. - Tianshu Xie, Xuan Cheng, Xiaomin Wang, Minghui Liu, Jiali Deng, Ming Liu:
Feature Mining: A Novel Training Strategy for Convolutional Neural Network. - Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh:
A New Representation of Successor Features for Transfer across Dissimilar Environments. - Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, Jian Sun:
YOLOX: Exceeding YOLO Series in 2021. - Diego Monteiro, Hao Chen, Hai-Ning Liang, Huawei Tu, Henry Dub:
Evaluating Performance and Gameplay of Virtual Reality Sickness Techniques in a First-Person Shooter Game. - Sebastian Cmentowski, Andrey Krekhov, Jens H. Krüger:
"I Packed My Bag and in It I Put...": A Taxonomy of Inventory Systems for Virtual Reality Games. - Yiwen Zhang, Diego Monteiro, Hai-Ning Liang, Jieming Ma, Nilufar Baghaei:
Effect of Input-output Randomness on Gameplay Satisfaction in Collectable Card Games. - Sebastian Cmentowski, Jens H. Krüger:
Effects of Task Type and Wall Appearance on Collision Behavior in Virtual Environments. - Hang Duong Thi Thuy, Tuan Nguyen Minh, Phi Nguyen Van, Long Tran Quoc:
Fully Automated Machine Learning Pipeline for Echocardiogram Segmentation. - Huafeng Wang, Chonggang Lu, Qi Zhang, Zhimin Hu, Xiaodong Yuan, Pingshu Zhang, Wanquan Liu:
Sleep Staging Based on Serialized Dual Attention Network. - Noga Alon, Steve Hanneke, Ron Holzman, Shay Moran:
A Theory of PAC Learnability of Partial Concept Classes. - Babar Shahzaad, Athman Bouguettaya, Sajib Mistry:
Robust Composition of Drone Delivery Services under Uncertainty. - Yong Wang:
Probabilistic Process Algebra for True Concurrency. - Mitchell Olsthoorn, Annibale Panichella:
Multi-objective Test Case Selection Through Linkage Learning-based Crossover. - Qiyiwen Zhang, Zhiqi Bu, Kan Chen, Qi Long:
Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability. - Luca Martino, Víctor Elvira, Javier López-Santiago, Gustau Camps-Valls:
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing. - Sophie Gruenbacher, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Thomas A. Henzinger, Scott A. Smolka, Radu Grosu:
GoTube: Scalable Stochastic Verification of Continuous-Depth Models. - Dengshan Li, Rujing Wang, Chengjun Xie:
A stepped sampling method for video detection using LSTM. - Chunjae Park:
A locally calculable P3-pressure using a P4-velocity for incompressible Stokes equations. - Eli Ben-Sasson, Dan Carmon, Swastik Kopparty, David Levit:
Elliptic Curve Fast Fourier Transform (ECFFT) Part I: Fast Polynomial Algorithms over all Finite Fields. - Viet Dung Nguyen, Ba-Thai Pham, Phan-Thuan Do:
Efficient algorithms for maximum induced matching problem in permutation and trapezoid graphs. - James Yu, Hayley Beltz, Milind Y. Desai, Péter Érdi, Jacob G. Scott, Raoul R. Wadhwa:
Accessing United States Bulk Patent Data with patentpy and patentr. - Aristeidis Chrostoforidis, George Kyriakides, Konstantinos G. Margaritis:
A Novel Evolutionary Algorithm for Hierarchical Neural Architecture Search. - D. Maran:
A note on the article "On Exploiting Spectral Properties for Solving MDP with Large State Space". - Nikolay Ivanov, Qiben Yan:
System-Wide Security for Offline Payment Terminals. - João Damião Almeida, Paul Schydlo, Atabak Dehban, José Santos-Victor:
Sensorimotor Graph: Action-Conditioned Graph Neural Network for Learning Robotic Soft Hand Dynamics. - Alsadig Ali, Abdullah Al-Mamun, Felipe Pereira, Arunasalam Rahunanthan:
Conditioning by Projection for the Sampling from Prior Gaussian Distributions. - Omid Taghizadeh, Tianyu Yang, Hiroki Iimori, Giuseppe Abreu, Ali Cagatay Cirik, Rudolf Mathar:
Quantization-Aided Secrecy: FD C-RAN Communications with Untrusted Radios. - Nicholas Woolsey, Jörg Kliewer, Rong-Rong Chen, Mingyue Ji:
A Practical Algorithm Design and Evaluation for Heterogeneous Elastic Computing with Stragglers. - Henrique Ferraz de Arruda, Sandro M. Reia, Filipi Nascimento Silva, Diego R. Amancio, Luciano da F. Costa:
A pattern recognition approach for distinguishing between prose and poetry. - Noa Onoszko, Gustav Karlsson, Olof Mogren, Edvin Listo Zec:
Decentralized federated learning of deep neural networks on non-iid data. - William Gantt:
Argument Linking: A Survey and Forecast. - Pål Anders Floor, Tor A. Ramsted:
Tools for Analysis of Shannon-Kotel'nikov Mappings. - Chao Chen, Chris Porter, Santosh Pande:
Effective GPU Sharing Under Compiler Guidance. - Yasin Yazicioglu, Raghavendra Bhat, Derya Aksaray:
Distributed Planning for Serving Cooperative Tasks with Time Windows: A Game Theoretic Approach. - Linh Anh Nguyen:
Computing the Fuzzy Partition Corresponding to the Greatest Fuzzy Auto-Bisimulation of a Fuzzy Graph-Based Structure. - Micah Corah, Nathan Michael:
Scalable Distributed Planning for Multi-Robot, Multi-Target Tracking. - Duligur Ibeling, Thomas Icard:
A Topological Perspective on Causal Inference. - Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini:
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering. - Ali Momeni, Romain Fleury:
Wave-based extreme deep learning based on non-linear time-Floquet entanglement. - Zhenpeng Chen:
Learning point embedding for 3D data processing. - Spyridon Ampanavos, Mehdi Nourbakhsh, Chin-Yi Cheng:
Structural Design Recommendations in the Early Design Phase using Machine Learning. - Spyridon Ampanavos, Ali Malkawi:
Early-Phase Performance-Driven Design using Generative Models. - Hamza Elhamdadi, Shaun J. Canavan, Paul Rosen:
AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective Computing. - Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi, Bradley A. Fritz, Michael Avidan, Yixin Chen, Christopher Ryan King:
A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues. - Gautam Singh, Skand Vishwanath Peri, Junghyun Kim, Hyunseok Kim, Sungjin Ahn:
Structured World Belief for Reinforcement Learning in POMDP. - Yan Bin Ng, Basura Fernando:
Action Forecasting with Feature-wise Self-Attention. - Di Yang, Yaohui Wang, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca, François Brémond:
UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition. - Songlin Yang, Wei Wang, Yuehua Cheng, Jing Dong:
A Systematical Solution for Face De-identification. - Ning Bian, Xianpei Han, Bo Chen, Hongyu Lin, Ben He, Le Sun:
Bridging the Gap between Language Model and Reading Comprehension: Unsupervised MRC via Self-Supervision. - Scott Wesley, Maria Christakis, Jorge A. Navas, Richard J. Trefler, Valentin Wüstholz, Arie Gurfinkel:
Compositional Verification of Smart Contracts Through Communication Abstraction (Extended). - N. R. Aravind, Roopam Saxena:
Perfectly Matched Sets in Graphs: Hardness, Kernelization Lower Bound, and FPT and Exact Algorithms. - Jo Plested, Xuyang Shen, Tom Gedeon:
Non-binary deep transfer learning for imageclassification. - Yinjun Wu, James Weimer, Susan B. Davidson:
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report). - Zhi Wang, Chaoge Liu, Xiang Cui:
EvilModel: Hiding Malware Inside of Neural Network Models. - Yingchao Feng, Xian Sun, Wenhui Diao, Jihao Li, Xin Gao:
Double Similarity Distillation for Semantic Image Segmentation. - Yiran Wang, Zhen Li:
Inverse Problem of Nonlinear Schrödinger Equation as Learning of Convolutional Neural Network. - Anish Pimpley, Shuo Li, Anubha Srivastava, Vishal Rohra, Yi Zhu, Soundararajan Srinivasan, Alekh Jindal, Hiren Patel, Shi Qiao, Rathijit Sen:
Optimal Resource Allocation for Serverless Queries. - Xuesi Wang, Guangda Huzhang, Qianying Lin, Qing Da, Dan Shen:
Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce. - Jiajie Tong, Xianbin Wang, Qifan Zhang, Huazi Zhang, Rong Li, Jun Wang, Wen Tong:
Fast polar codes for terabits-per-second throughput communications. - Jiajie Tong, Qifan Zhang, Huazi Zhang, Rong Li, Jun Wang, Wen Tong:
A unified polar decoder platform for low-power and low-cost devices. - Anh Khoa Lanh Luu, Van Tu Duong, Huy Hung Nguyen, Sang Bong Kim, Tan Tien Nguyen:
Design of robust controller applied for series elastic actuators in controlling humanoid's joint. - Tooru Akagi, Mitsuru Funakoshi, Shunsuke Inenaga:
Sensitivity of string compressors and repetitiveness measures. - Dabin Kim, Gyeong Chan Kim, Youngseok Jang, H. Jin Kim:
Topology-Guided Path Planning for Reliable Visual Navigation of MAVs. - Lei Zhang, Yong Cui, Mowei Wang, Kewei Zhu, Yibo Zhu, Yong Jiang:
DeepCC: Bridging the Gap Between Congestion Control and Applications via Multi-Objective Optimization. - Soohyun Park, Joongheon Kim:
Trends in LEO Satellite Handover Algorithms. - Qingzhong Wang, Pengfei Zhang, Haoyi Xiong, Jian Zhao:
Face.evoLVe: A High-Performance Face Recognition Library. - Chicheng Zhang, Zhi Wang:
Provably Efficient Multi-Task Reinforcement Learning with Model Transfer. - Guoping Xu, Xingrong Wu, Xuan Zhang, Xinwei He:
LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation. - Haemin Lee, Joongheon Kim:
Trends in Blockchain and Federated Learning for Data Sharing in Distributed Platforms. - Sebastiano Boscarino, Seung-Yeon Cho, Giovanni Russo:
A local velocity grid conservative semi-Lagrangian schemes for BGK model. - Yoo Jeong Ha, Minjae Yoo, Soohyun Park, Soyi Jung, Joongheon Kim:
Secure Aerial Surveillance using Split Learning. - Kazuya Nishimura, Hyeonwoo Cho, Ryoma Bise:
Semi-supervised Cell Detection in Time-lapse Images Using Temporal Consistency. - Subodh Lonkar:
Facial Expressions Recognition with Convolutional Neural Networks. - Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang, Jun Hou:
Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark. - Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo:
Compound Figure Separation of Biomedical Images with Side Loss. - Jie Qi, Shurong Mo, Miroslav Krstic:
Delay-Compensated Distributed PDE Control of Traffic with Connected/Automated Vehicles. - Hyeonwoo Cho, Kazuya Nishimura, Kazuhide Watanabe, Ryoma Bise:
Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap. - Ye Jia, Michelle Tadmor Ramanovich, Tal Remez, Roi Pomerantz:
Translatotron 2: Robust direct speech-to-speech translation. - Peng Cheng, Jiabao Jin, Lei Chen, Xuemin Lin, Libin Zheng:
A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing [technical report]. - Leonard Bradatsch, Frank Kargl, Oleksandr Miroshkin:
Zero Trust Service Function Chaining. - Aniruddha Biswas, Palash Sarkar:
Influence of a Set of Variables on a Boolean Function. - Mohamed-Amine Baazizi, Dario Colazzo, Giorgio Ghelli, Carlo Sartiani, Stefanie Scherzinger:
An Empirical Study on the "Usage of Not" in Real-World JSON Schema Documents (Long Version). - Jinke Ren, Chonghe Liu, Guanding Yu, Dongning Guo:
A New Distributed Method for Training Generative Adversarial Networks. - Nyoungwoo Lee, Suwon Shin, Jaegul Choo, Ho-Jin Choi, Sung-Hyon Myaeng:
Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images. - Shaojie Li, Yong Liu:
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints. - Jacek Klímek, Jakub Klimek, Witold Kraskiewicz, Mateusz Topolewski:
Long-term series forecasting with Query Selector - efficient model of sparse attention. - Xiangyu Zhao, Yinzhe Yao, Hanzhou Wu, Xinpeng Zhang:
Structural Watermarking to Deep Neural Networks via Network Channel Pruning. - Cosmin Ginerica, Mihai V. Zaha, Florin Gogianu, Lucian Busoniu, Bogdan Trasnea, Sorin Mihai Grigorescu:
ObserveNet Control: A Vision-Dynamics Learning Approach to Predictive Control in Autonomous Vehicles. - Dominik Sisejkovic, Farhad Merchant, Lennart M. Reimann, Rainer Leupers:
Deceptive Logic Locking for Hardware Integrity Protection against Machine Learning Attacks. - Chihcheng Hsieh, Catarina Moreira, Chun Ouyang:
Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach. - Kunzan Liu, Zijian Zhang, Linglong Dai, Lajos Hanzo:
Compact User-Side Reconfigurable Intelligent Surfaces for Uplink Transmission. - Fernando Benavides Rodríguez, Laura M. Castro:
Detecting Oxbow Code in Erlang Codebases with the Highest Degree of Certainty. - Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Hao Zhang:
Uncertainty-aware Cardinality Estimation by Neural Network Gaussian Process. - Zhihui Zhang, Jingwen Leng, Shuwen Lu, Youshan Miao, Yijia Diao, Minyi Guo, Chao Li, Yuhao Zhu:
ZIPPER: Exploiting Tile- and Operator-level Parallelism for General and Scalable Graph Neural Network Acceleration. - Zhaoqing Wang, Qiang Li, Guoxin Zhang, Pengfei Wan, Wen Zheng, Nannan Wang, Mingming Gong, Tongliang Liu:
Exploring Set Similarity for Dense Self-supervised Representation Learning. - Zhenyu Guo, Shuai Zheng, Zhizhe Liu, Kun Yan, Zhenfeng Zhu:
CETransformer: Casual Effect Estimation via Transformer Based Representation Learning. - Cong Xie, Shilei Cao, Dong Wei, Hongyu Zhou, Kai Ma, Xianli Zhang, Buyue Qian, Liansheng Wang, Yefeng Zheng:
RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotation. - Gagandeep Singh, Dionysios Diamantopoulos, Juan Gómez-Luna, Christoph Hagleitner, Sander Stuijk, Henk Corporaal, Onur Mutlu:
NERO: Accelerating Weather Prediction using Near-Memory Reconfigurable Fabric. - Jiaxiang Tang, Xiaokang Chen, Gang Zeng:
Joint Implicit Image Function for Guided Depth Super-Resolution. - Margherita Fanton, Helena Bonaldi, Serra Sinem Tekiroglu, Marco Guerini:
Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech. - Leah Epstein:
Several methods of analysis for cardinality constrained bin packing. - Daniel Chin, Gus Xia:
Measuring a Six-hole Recorder Flute's Response to Breath Pressure Variations and Fitting a Model. - Sergey Slavnov:
Cobordisms and commutative categorial grammars. - Christian Bartolo Burlò, Adrian Francalanza, Alceste Scalas, Catia Trubiani, Emilio Tuosto:
Towards Probabilistic Session-Type Monitoring. - Minyoung Kim, Young J. Kim:
Synthesizing Human Faces using Latent Space Factorization and Local Weights (Extended Version). - Francesco Fabiano, Biplav Srivastava, Jonathan Lenchner, Lior Horesh, Francesca Rossi, Marianna Bergamaschi Ganapini:
E-PDDL: A Standardized Way of Defining Epistemic Planning Problems. - Nicolae Suciu, Florin A. Radu:
Global random walk solvers for reactive transport and biodegradation processes in heterogeneous porous media. - Nikolaj I. Schwartzbach:
Deposit schemes for incentivizing behavior in finite games of perfect information. - Iker Perez, Piotr Skalski, Alec Barns-Graham, Jason Wong, David Sutton:
Path Integrals for the Attribution of Model Uncertainties. - Guru Prasad Bhandari, Amara Naseer, Leon Moonen:
CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software. - Eva Bartz, Martin Zaefferer, Olaf Mersmann, Thomas Bartz-Beielstein:
Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization. - Antonious M. Girgis, Deepesh Data, Suhas N. Diggavi:
Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning. - Xueting Han, Zhenhuan Huang, Bang An, Jing Bai:
Adaptive Transfer Learning on Graph Neural Networks. - Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Máadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao:
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. - Myeong-Seok Oh, Yong-Ju Lee, Seong-Whan Lee:
Precise Aerial Image Matching based on Deep Homography Estimation. - Gun-Hee Lee, Han-Bin Ko, Seong-Whan Lee:
Joint Dermatological Lesion Classification and Confidence Modeling with Uncertainty Estimation. - Dana Ruiter, Dietrich Klakow, Josef van Genabith, Cristina España-Bonet:
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages. - Jianwen Chen, Shuangjia Zheng, Ying Song, Jiahua Rao, Yuedong Yang:
Learning Attributed Graph Representations with Communicative Message Passing Transformer. - Brian Bittner, Shai Revzen:
Optimizing Gait Libraries via a Coverage Metric. - Neri Merhav:
Conveying individual source sequences over memoryless channels using finite-state decoders with source side information. - Xiao Liu, Rong Pan:
Boost-R: Gradient Boosted Trees for Recurrence Data. - Sven Elflein, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann:
On Out-of-distribution Detection with Energy-based Models. - JoonSung Lee, YeongHyeon Park:
Anomaly Detection Based on Multiple-Hypothesis Autoencoder. - Kyeongbo Kong, Kyunghun Kim, Woo-Jin Song, Suk-Ju Kang:
Selective Focusing Learning in Conditional GANs. - Stanly Samuel, Deepak D'Souza, Raghavan Komondoor:
GenSys: A Scalable Fixed-point Engine for Maximal Controller Synthesis over Infinite State Spaces. - Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Jie Liu, Chendong Zhao, Jing Xiao:
Federated Learning with Dynamic Transformer for Text to Speech. - Vinesha Peiris, Nadezda Sukhorukova, Vera Roshchina:
Deep Learning with Nonsmooth Objectives. - Patrick Holthaus:
How does a robot's social credibility relate to its perceived trustworthiness? - Ameer Amer, Inbal Talgam-Cohen:
Auctions with Interdependence and SOS: Improved Approximation. - Alina Karakanta, Sara Papi, Matteo Negri, Marco Turchi:
Simultaneous Speech Translation for Live Subtitling: from Delay to Display. - Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn:
Revisiting the Primal-Dual Method of Multipliers for Optimisation over Centralised Networks. - Shadi Al Shehabi, Abdullatif Baba:
MARC: Mining Association Rules from datasets by using Clustering models. - Jiandong Mu, Mengdi Wang, Feiwen Zhu, Jun Yang, Wei Lin, Wei Zhang:
Boosting the Convergence of Reinforcement Learning-based Auto-pruning Using Historical Data. - J. Meiyazhagan, S. Sudharsan, M. Senthilvelan:
Model-free prediction of emergence of extreme events in a parametrically driven nonlinear dynamical system by Deep Learning. - Quanshi Zhang, Tian Han, Lixin Fan, Zhanxing Zhu, Hang Su, Ying Nian Wu, Jie Ren, Hao Zhang:
Proceedings of ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI. - Hayoung Jo, Seong-Whan Lee:
One-Class Classification for Wafer Map using Adversarial Autoencoder with DSVDD Prior. - Samuel Chassot, Viktor Kuncak:
Verified Mutable Data Structures. - Adish Singla, Anna N. Rafferty, Goran Radanovic, Neil T. Heffernan:
Reinforcement Learning for Education: Opportunities and Challenges. - Rafael Rafailov, Tianhe Yu, Aravind Rajeswaran, Chelsea Finn:
Visual Adversarial Imitation Learning using Variational Models. - Mathilde Chenu, Benjamin Smith:
Higher-degree supersingular group actions. - Xiaolong Zhu, Fernando Vanegas, Felipe Gonzalez, Conrad Sanderson:
A Multi-UAV System for Exploration and Target Finding in Cluttered and GPS-Denied Environments. - Jiuqi Elise Zhang, Di Wu, Benoit Boulet:
Time Series Anomaly Detection for Smart Grids: A Survey. - Zhiqiang Cao, Ran Liu, Chau Yuen, Achala Athukorala, Benny Kai Kiat Ng, Muraleetharan Mathanraj, U-Xuan Tan:
Relative Localization of Mobile Robots with Multiple Ultra-WideBand Ranging Measurements. - Tobias Friedrich, Andreas Göbel, Maximilian Katzmann, Martin S. Krejca, Marcus Pappik:
Algorithms for general hard-constraint point processes via discretization. - Theodoros Ntakouris:
Exploring the efficacy of neural networks for trajectory compression and the inverse problem. - Rose Bohrer, André Platzer:
Structured Proofs for Adversarial Cyber-Physical Systems. - Francisco Javier García Gómez, Gerhard Kramer:
Regular Perturbation and Achievable Rates of Space-Division Multiplexed Optical Channels. - Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Bolin Ding, Yaliang Li, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui:
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. - Zizhang Wu, Wenkai Zhang, Jizheng Wang, Man Wang, Yuanzhu Gan, Xinchao Gou, Muqing Fang, Jing Song:
Disentangling and Vectorization: A 3D Visual Perception Approach for Autonomous Driving Based on Surround-View Fisheye Cameras. - Siwei Chen, Xiao Ma, Yunfan Lu, David Hsu:
Ab Initio Particle-based Object Manipulation. - Niloofar Yazdani, Nikolaos Kouvelas, R. Venkatesha Prasad, Daniel E. Lucani:
Energy Efficient Data Recovery from Corrupted LoRa Frames. - Tobias Bornakke, Talayeh Aledavood, Jari Saramäki, Sam G. B. Roberts:
Proximity in face-to-face interaction is associated with mobile phone communication. - Guang Yang, Ke Mu, Chunhe Song, Zhijia Yang, Tierui Gong:
RingFed: Reducing Communication Costs in Federated Learning on Non-IID Data. - Daniel Brunner, Laurent Larger, Miguel C. Soriano:
Nonlinear photonic dynamical systems for unconventional computing. - Petar Velickovic, Matko Bosnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell:
Reasoning-Modulated Representations. - Saiful Khan, Phong Hai Nguyen, Alfie Abdul-Rahman, Benjamin Bach, Min Chen, Euan Freeman, Cagatay Turkay:
Propagating Visual Designs to Numerous Plots and Dashboards. - Xiaoyang Li, Shuai Wang, Guangxu Zhu, Ziqin Zhou, Kaibin Huang, Yi Gong:
Data Partition and Rate Control for Learning and Energy Efficient Edge Intelligence. - Mingqi Yuan, Mon-On Pun, Yi Chen, Dong Wang, Haojun Li:
Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning. - Jiahuan Zhou, Yansong Tang, Bing Su, Ying Wu:
Unsupervised Embedding Learning from Uncertainty Momentum Modeling. - Tran Nguyen Le, Jens Lundell, Fares J. Abu-Dakka, Ville Kyrki:
Towards synthesizing grasps for 3D deformable objects with physics-based simulation. - Bhumika Bhatia, Anuj Verma, Anjum, Rahul Katarya:
Analysing Cyberbullying using Natural Language Processing by Understanding Jargon in Social Media. - Aram Mahmood Ahmed, Tarik A. Rashid, Soran Saeed:
Dynamic Cat Swarm Optimization Algorithm for Backboard Wiring Problem. - Takayuki Miura, Satoshi Hasegawa, Toshiki Shibahara:
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI. - Kai Zhu, Yang Cao, Wei Zhai, Jie Cheng, Zheng-Jun Zha:
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning. - Cornelis A. Middelburg:
Dormancy-aware timed branching bisimilarity. - Zhi Liu, Nikhil Garg:
Test-optional Policies: Overcoming Strategic Behavior and Informational Gaps. - Ian Osband, Zheng Wen, Mohammad Asghari, Morteza Ibrahimi, Xiyuan Lu, Benjamin Van Roy:
Epistemic Neural Networks. - Farzad Pourkamali, Nicolas Macris:
Mismatched Estimation of rank-one symmetric matrices under Gaussian noise. - William Blanzeisky, Pádraig Cunningham, Kenneth Kennedy:
Introducing a Family of Synthetic Datasets for Research on Bias in Machine Learning. - Nianlong Gu, Elliott Ash, Richard H. R. Hahnloser:
MemSum: Extractive Summarization of Long Documents using Multi-step Episodic Markov Decision Processes. - Khaled Koutini, Hamid Eghbal-zadeh, Florian Henkel, Jan Schlüter, Gerhard Widmer:
Over-Parameterization and Generalization in Audio Classification. - Min Liu, Zhiqiang Cai, Jingshuang Chen:
Adaptive Two-Layer ReLU Neural Network: I. Best Least-squares Approximation. - Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon, In-Jae Yu:
Detection of Double Compression in MPEG-4 Videos Using Refined Features-based CNN. - Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Jeffrey Ichnowski, Ellen R. Novoseller, Minho Hwang, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg:
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies. - Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin:
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data. - Sabat Abdulhameed, Tarik A. Rashid:
Child Drawing Development Optimization Algorithm based on Child's Cognitive Development. - Marco Lünich, Kimon Kieslich:
Using automated decision-making (ADM) to allocate Covid-19 vaccinations? Exploring the roles of trust and social group preference on the legitimacy of ADM vs. human decision-making. - Carsten Ditzel, Klaus Dietmayer:
GenRadar: Self-supervised Probabilistic Camera Synthesis based on Radar Frequencies. - Xi Yang, Zehao Yu, Yi Guo, Jiang Bian, Yonghui Wu:
Clinical Relation Extraction Using Transformer-based Models. - Eli Lucherini, Matthew Sun, Amy A. Winecoff, Arvind Narayanan:
T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems. - Konstantinos Kamnitsas, Stefan Winzeck, Evgenios N. Kornaropoulos, Daniel Whitehouse, Cameron Englman, Poe Phyu, Norman Pao, David K. Menon, Daniel Rueckert, Tilak Das, Virginia F. J. Newcombe, Ben Glocker:
Transductive image segmentation: Self-training and effect of uncertainty estimation. - Martin Hoefer, Marco Schmalhofer, Giovanna Varricchio:
Approximating Nash Social Welfare in 2-Valued Instances. - Lukas Schäfer, Filippos Christianos, Josiah Hanna, Stefano V. Albrecht:
Decoupling Exploration and Exploitation in Reinforcement Learning. - Alex Shafarenko:
Indexing structures for the PLS blockchain. - Shivangi Bithel, Sumitra S. Malagi:
Unsupervised Identification of Relevant Prior Cases. - Rajat Koner, Poulami Sinhamahapatra, Karsten Roscher, Stephan Günnemann, Volker Tresp:
OODformer: Out-Of-Distribution Detection Transformer. - Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel, Michael Laskin:
Hierarchical Few-Shot Imitation with Skill Transition Models. - Dahu Shi, Xing Wei, Xiaodong Yu, Wenming Tan, Ye Ren, Shiliang Pu:
InsPose: Instance-Aware Networks for Single-Stage Multi-Person Pose Estimation. - Ndivhuwo Makondo, Arinze Lawrence Folarin, Simphiwe Nhlahla Zitha, Sekou Lionel Remy:
An Analysis of Reinforcement Learning for Malaria Control. - Na Li, Xinbo Zhao:
A Benchmark for Gait Recognition under Occlusion Collected by Multi-Kinect SDAS. - Seyyed Ali Hashemi, Nghia Doan, Warren J. Gross, John M. Cioffi, Andrea Goldsmith:
A Tree Search Approach for Maximum-Likelihood Decoding of Reed-Muller Codes. - Hidenobu Matsuki, Raluca Scona, Jan Czarnowski, Andrew J. Davison:
CodeMapping: Real-Time Dense Mapping for Sparse SLAM using Compact Scene Representations. - Smitha Milli, Luca Belli, Moritz Hardt:
Causal Inference Struggles with Agency on Online Platforms. - Chao Zeng, Shuang Li, Yiming Jiang, Qiang Li, Zhaopeng Chen, Chenguang Yang, Jianwei Zhang:
Learning compliant grasping and manipulation by teleoperation with adaptive force control. - Hans Dermot Doran, Timo Lang:
Dynamic Lockstep Processors for Applications with Functional Safety Relevance. - Haoran Xu, Xianyuan Zhan, Xiangyu Zhu:
Constraints Penalized Q-Learning for Safe Offline Reinforcement Learning. - Hussam Al Daas, Pierre Jolivet, Jennifer A. Scott:
A Robust Algebraic Domain Decomposition Preconditioner for Sparse Normal Equations. - Tanvi Bajpai, Drshika Asher, Anwesa Goswami, Eshwar Chandrasekharan:
Harmonizing the Cacophony: An Affordance-aware Framework of Audio-Based Social Platform Moderation. - Vibashan VS, Jeya Maria Jose Valanarasu, Poojan Oza, Vishal M. Patel:
Image Fusion Transformer. - Matthew Brehmer, Robert Kosara, Carmen Hull:
Generative Design Inspiration for Glyphs with Diatoms. - Diptakshi Sen, Rupam Kumar Roy, Ritajit Majumdar, Kingshuk Chatterjee, Debayan Ganguly:
Prediction of the final rank of Players in PUBG with the optimal number of features. - Pablo Antolin, Thibaut Hirschler:
Quadrature-free Immersed Isogeometric Analysis. - Antonios Alexos, Alex Boyd, Stephan Mandt:
Structured Stochastic Gradient MCMC. - Sebastian Zeng, Florian Graf, Christoph D. Hofer, Roland Kwitt:
Topological Attention for Time Series Forecasting. - Maryam Hosseinkord, Gurleen Dulai, Narges Osmani, Christopher K. Anand:
Code and Structure Editing for Teaching: A Case Study in using Bibliometrics to Guide Computer Science Research. - Matthew Brehmer, Robert Kosara:
From Jam Session to Recital: Synchronous Communication and Collaboration Around Data in Organizations. - Evan Zheran Liu, Behzad Haghgoo, Annie S. Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn:
Just Train Twice: Improving Group Robustness without Training Group Information. - Sarah Young, Jyothish Pari, Pieter Abbeel, Lerrel Pinto:
Playful Interactions for Representation Learning. - Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman:
Know Thyself: Transferable Visuomotor Control Through Robot-Awareness. - Arya Mazumdar, Soumyabrata Pal:
Support Recovery in Universal One-bit Compressed Sensing. - Manu Tom, Yuchang Jiang, Emmanuel Baltsavias, Konrad Schindler:
Learning a Sensor-invariant Embedding of Satellite Data: A Case Study for Lake Ice Monitoring. - Erion-Vasilis M. Pikoulis, Christos Mavrokefalidis, Aris S. Lalos:
A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks. - Qiushi Huang, Tom Ko, H. Lilian Tang, Xubo Liu, Bo Wu:
Token-Level Supervised Contrastive Learning for Punctuation Restoration. - Stavros Nousias, Erion-Vasilis M. Pikoulis, Christos Mavrokefalidis, Aris S. Lalos:
Accelerating deep neural networks for efficient scene understanding in automotive cyber-physical systems. - Spencer Whitehead, Hui Wu, Heng Ji, Rogério Feris, Kate Saenko:
Separating Skills and Concepts for Novel Visual Question Answering. - Abhinav Mishra, Ram Sriharsha, Sichen Zhong:
OnlineSTL: Scaling Time Series Decomposition by 100x. - Nicola Fabiano:
The approach with the Data Protection and Privacy Relationships Model (DAPPREMO). - Julian Gutierrez, Lewis Hammond, Anthony W. Lin, Muhammad Najib, Michael J. Wooldridge:
Rational Verification for Probabilistic Systems. - Tanmay Jain, Avaneesh, Rohit Verma, Rajeev Shorey:
Latency-Memory Optimized Splitting of Convolution Neural Networks for Resource Constrained Edge Devices. - Benjamin Spetter-Goldstein, Nataniel Ruiz, Sarah Adel Bargal:
Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition. - Ang Xuan, Xinwei Shen, Qinglai Guo, Hongbin Sun:
Two-stage Planning for Electricity-Gas Coupled Integrated Energy System with CCUS Considering Carbon Tax and Price Uncertainty. - Luis Olsina:
ThingFO v1.2's Terms, Properties, Relationships and Axioms - Foundational Ontology for Things. - Rozhin Yasaei, Shih-Yuan Yu, Emad Kasaeyan Naeini, Mohammad Abdullah Al Faruque:
GNN4IP: Graph Neural Network for Hardware Intellectual Property Piracy Detection. - Abbas Rabiee, Andrew Keane, Alireza Soroudi:
Enhanced Transmission and Distribution Network Coordination to Host More Electric Vehicles and PV. - Daniel Kunin, Javier Sagastuy-Breña, Lauren E. Gillespie, Eshed Margalit, Hidenori Tanaka, Surya Ganguli, Daniel L. K. Yamins:
Rethinking the limiting dynamics of SGD: modified loss, phase space oscillations, and anomalous diffusion. - Collins Anguzua, Christopher Engström, John Mango Magero, Henry Kasumbaa, Sergei Silvestrov, Benard Abola:
Eigenvector Centrality and Uniform Dominant Eigenvalue of Graph Components. - Balázs Varga, Balázs Kulcsár, Morteza Haghir Chehreghani:
Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach. - Curtis Hawthorne, Ian Simon, Rigel Swavely, Ethan Manilow, Jesse H. Engel:
Sequence-to-Sequence Piano Transcription with Transformers. - Harsha Vardhan Tetali, Joel B. Harley, Benjamin D. Haeffele:
Wave-Informed Matrix Factorization withGlobal Optimality Guarantees. - Santosh Kumar Singh, Vivek S. Borkar, Gaurav S. Kasbekar:
User Association in Dense mmWave Networks as Restless Bandits. - Susama Agarwala, Caroline Mosko:
Isolated loops. - Mikel Landajuela, Brenden K. Petersen, Soo K. Kim, Cláudio P. Santiago, Ruben Glatt, T. Nathan Mundhenk, Jacob F. Pettit, Daniel M. Faissol:
Improving exploration in policy gradient search: Application to symbolic optimization. - Sina Fazelpour, Maria De-Arteaga:
Diversity in Sociotechnical Machine Learning Systems. - José Carlos Marinello Filho, Glauber Brante, Richard Demo Souza, Taufik Abrão:
Exploring the Non-Overlapping Visibility Regions in XL-MIMO Random Access Protocol. - Juan Pablo de Vicente, Alvaro Soto:
DeepSocNav: Social Navigation by Imitating Human Behaviors. - Joseph M. Coale, Dmitriy Y. Anistratov:
Reduced order models for nonlinear radiative transfer based on moment equations and POD/DMD of Eddington tensor. - Chao Min, Qing Ke:
Temporal search in the scientific space predicts breakthrough inventions. - Aman Arora, Bagus Hanindhito, Lizy K. John:
Compute RAMs: Adaptable Compute and Storage Blocks for DL-Optimized FPGAs. - Brenden K. Petersen, Cláudio P. Santiago, Mikel Landajuela:
Incorporating domain knowledge into neural-guided search. - (Withdrawn) Analysis of External Content in the Vaccination Discussion on Twitter.
- Haoran Xu, Philipp Koehn:
Cross-Lingual BERT Contextual Embedding Space Mapping with Isotropic and Isometric Conditions. - Abigail Hickok, Deanna Needell, Mason A. Porter:
Analysis of Spatiotemporal Anomalies Using Persistent Homology: Case Studies with COVID-19 Data. - Bashir M. Sabquat Bahar Talukder, Farah Ferdaus, Md. Tauhidur Rahman:
A Non-invasive Technique to Detect Authentic/Counterfeit SRAM Chips. - Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani, Karen Ullrich:
Compressing Multisets with Large Alphabets. - Zhan Gao, Fernando Gama, Alejandro Ribeiro:
Wide and Deep Graph Neural Network with Distributed Online Learning. - Vincent Wilmet, Sauraj Verma, Tabea Redl, Håkon Sandaker, Zhenning Li:
A Comparison of Supervised and Unsupervised Deep Learning Methods for Anomaly Detection in Images. - Jakub Radoszewski, Wojciech Rytter, Juliusz Straszynski, Tomasz Walen, Wiktor Zuba:
Hardness of Detecting Abelian and Additive Square Factors in Strings. - Mila Soares de Oliveira de Souza, Pedro Nuno de Souza Moura, Jean-Pierre Briot:
Music Tempo Estimation via Neural Networks - A Comparative Analysis. - Rohan Mahadev, Anindya Chakravarti:
Understanding Gender and Racial Disparities in Image Recognition Models. - Zhenxing Cheng, Hu Wang:
A multi-grid sampling multi-scale method for crack initiation and propagation. - Shuting Jin, Xiangxiang Zeng, Wei Huang, Feng Xia, Changzhi Jiang, Xiangrong Liu, Shaoliang Peng:
Heterogeneous network-based drug repurposing for COVID-19. - Merrick Campbell, Keran Ye, Elia Scudiero, Konstantinos Karydis:
A Portable Agricultural Robot for Continuous Apparent Soil ElectricalConductivity Measurements to Improve Irrigation Practices. - Xiuyuan Lu, Ian Osband, Benjamin Van Roy, Zheng Wen:
Evaluating Probabilistic Inference in Deep Learning: Beyond Marginal Predictions. - Shaohao Lu, Yuqiao Xian, Ke Yan, Yi Hu, Xing Sun, Xiaowei Guo, Feiyue Huang, Wei-Shi Zheng:
Discriminator-Free Generative Adversarial Attack. - Dohyun Kim, Lina Zhao, Eric T. Chung, Eun-Jae Park:
Pressure-robust staggered DG methods for the Navier-Stokes equations on general meshes. - Keishu Utimula, Ken-taro Hayaschi, Kousuke Nakano, Kenta Hongo, Ryo Maezono:
Reinforcement learning autonomously identifying the source of errors for agents in a group mission. - Angie W. Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt:
Shared Interest: Large-Scale Visual Analysis of Model Behavior by Measuring Human-AI Alignment. - (Withdrawn) Attention-Guided NIR Image Colorization via Adaptive Fusion of Semantic and Texture Clues.
- Eric Balkanski, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin, Xizhi Tan:
Deterministic Budget-Feasible Clock Auctions. - Yi-Fu Wu, Jaesik Yoon, Sungjin Ahn:
Generative Video Transformer: Can Objects be the Words? - Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu:
Boosting Few-Shot Classification with View-Learnable Contrastive Learning. - Li Shen, Yao Lu, Hao Chen, Hao Wei, Donghai Xie, Jiabao Yue, Rui Chen, Yue Zhang, Ao Zhang, Shouye Lv, Bitao Jiang:
S2Looking: A Satellite Side-Looking Dataset for Building Change Detection. - Evgeny Manzhosov, Adam Hastings, Meghna Pancholi, Ryan Piersma, Mohamed Tarek Ibn Ziad, Simha Sethumadhavan:
MUSE: Multi-Use Error Correcting Codes. - Vasilis Gkatzelis, Rishi Patel, Emmanouil Pountourakis, Daniel Schoepflin:
Prior-Free Clock Auctions for Bidders with Interdependent Values. - Davood Damircheli:
Finite Element Method for Solution of Credit Rating Migration Problem Model. - Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng:
Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision. - Liu Liu, Lorenzo Pareschi, Xueyu Zhu:
A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputs. - Daniel Shin, Daniel S. Brown:
Offline Preference-Based Apprenticeship Learning. - Roshan Sah, Raunak Srivastava, Kaushik Das:
Constellation Design of Remote Sensing Small Satellite for Infrastructure Monitoring in India. - Yuanzhou Chen, Shaobo Cai, Yuxin Wang, Junchi Yan:
Monocular Visual Analysis for Electronic Line Calling of Tennis Games. - Wayne Isaac Tan Uy, Yuepeng Wang, Yuxiao Wen, Benjamin Peherstorfer:
Active operator inference for learning low-dimensional dynamical-system models from noisy data. - Raunak Srivastava, Roshan Sah, Kaushik Das:
Attitude and In-orbit Residual Magnetic Moment Estimation of Small Satellites Using only Magnetometer. - Hooman Alavizadeh, Julian Jang-Jaccard, Tansu Alpcan, Seyit Ahmet Çamtepe:
A Markov Game Model for AI-based Cyber Security Attack Mitigation. - Futuan Li, Jiang Yang:
A provably efficient monotonic-decreasing algorithm for shape optimization in Stokes flows by phase-field approaches. - Sanchita Ghose, John J. Prevost:
FoleyGAN: Visually Guided Generative Adversarial Network-Based Synchronous Sound Generation in Silent Videos. - Ziqi Lu, Qiangqiang Huang, Kevin J. Doherty, John J. Leonard:
Consensus-Informed Optimization Over Mixtures for Ambiguity-Aware Object SLAM. - Chinmay Rajhans, Sowmya Gupta:
Application of Terminal Region Enlargement Approach for Discrete Time Quasi Infinite Horizon NMPC. - Lam Pham:
Robust Deep Learning Frameworks for Acoustic Scene and Respiratory Sound Classification. - Mingjie He, Jie Zhang, Shiguang Shan, Xiao Liu, Zhongqin Wu, Xilin Chen:
Locality-aware Channel-wise Dropout for Occluded Face Recognition. - Joosung Lee:
Paraphrasing via Ranking Many Candidates. - Qinglin Zhang, Qian Chen, Yali Li, Jiaqing Liu, Wen Wang:
Sequence Model with Self-Adaptive Sliding Window for Efficient Spoken Document Segmentation. - Bernd Finkbeiner, Manuel Gieseking, Jesko Hecking-Harbusch, Ernst-Rüdiger Olderog:
Global Winning Conditions in Synthesis of Distributed Systems with Causal Memory. - Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu:
ReSSL: Relational Self-Supervised Learning with Weak Augmentation. - Jungheum Park, Hyunji Chung:
Toward Trustworthy Urban IT Systems: The Bright and Dark Sides of Smart City Development. - Jungheum Park, Hyunji Chung, Joanna F. DeFranco:
Multi-Layered Diagnostics for Smart Cities. - Kaylee Burns, Christopher D. Manning, Li Fei-Fei:
Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning. - Qingzhong Ai, Lirong He, Liangjian Wen, Shiyu Liu, Zenglin Xu:
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE. - Olivia Byrnes, Wendy La, Hu Wang, Congbo Ma, Minhui Xue, Qi Wu:
Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography. - Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Zhendong Niu, Chengqi Zhang:
MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning. - Kazuma Fujii, Daiki Suehiro, Kazuya Nishimura, Ryoma Bise:
Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification. - Lulu Pan, Haibin Shao, Mehran Mesbahi, Dewei Li, Yugeng Xi:
Cluster Consensus on Matrix-weighted Switching Networks. - Suzhen Wang, Lincheng Li, Yu Ding, Changjie Fan, Xin Yu:
Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion. - Xiaofeng Shu, Yehang Zhu, Yanjie Chen, Li Chen, Haohe Liu, Chuanzeng Huang, Yuxuan Wang:
Joint Echo Cancellation and Noise Suppression based on Cascaded Magnitude and Complex Mask Estimation. - Kazumune Hashimoto, Natsuko Tsumagari, Toshimitsu Ushio:
Collaborative rover-copter path planning and exploration with temporal logic specifications based on Bayesian update under uncertain environments. - Wenxian Shi, Yuxuan Song, Hao Zhou, Bohan Li, Lei Li:
Follow Your Path: a Progressive Method for Knowledge Distillation. - Xiang He, Zhiying Tu, Markus Wagner, Xiaofei Xu, Zhongjie Wang:
Online Deployment Algorithms for Microservice Systems with Complex Dependencies. - Mohanad Odema, Nafiul Rashid, Berken Utku Demirel, Mohammad Abdullah Al Faruque:
LENS: Layer Distribution Enabled Neural Architecture Search in Edge-Cloud Hierarchies. - Matthew Bold, Marc Goerigk:
Recoverable Robust Single Machine Scheduling with Interval Uncertainty. - Lazaros Vrysis, Iordanis Thoidis, Charalampos Dimoulas, George Papanikolaou:
PERSA+: A Deep Learning Front-End for Context-Agnostic Audio Classification. - Moonbin Yim, Yoonsik Kim, Hancheol Cho, Sungrae Park:
SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models. - Sravanthi Chede, Anil Shukla:
QRAT Polynomially Simulates Merge Resolution. - Siqi Zheng, Weilong Huang, Xianliang Wang, Hongbin Suo, Jinwei Feng, Zhijie Yan:
A Real-time Speaker Diarization System Based on Spatial Spectrum. - Wissam Siblini, Guillaume Coter, Rémy Fabry, Liyun He-Guelton, Frédéric Oblé, Bertrand Lebichot, Yann-Aël Le Borgne, Gianluca Bontempi:
Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production. - Dmitry Batenkov, Gil Goldman:
Single-exponential bounds for the smallest singular value of Vandermonde matrices in the sub-Rayleigh regime. - Seongsik Park, Harksoo Kim:
Improving Sentence-Level Relation Extraction through Curriculum Learning. - Endri Bezati, Mahyar Emami, Jörn W. Janneck, James R. Larus:
StreamBlocks: A compiler for heterogeneous dataflow computing (technical report). - Qingzhong Ai, Shiyu Liu, Zenglin Xu:
Kernel Selection for Stein Variational Gradient Descent. - Yuqing Zhu, Yanzhe An, Yuan Zi, Yu Feng, Jianmin Wang:
IoTDataBench: Extending TPCx-IoT for Compression and Scalability. - Diego Pino, Javier García, Fernando Fernández, Svitlana Vyetrenko:
Similarity metrics for Different Market Scenarios in Abides. - Alex Mitrevski, Paul G. Plöger, Gerhard Lakemeyer:
Ontology-Assisted Generalisation of Robot Action Execution Knowledge. - Haotian Jiang, Zhong Li, Qianxiao Li:
Approximation Theory of Convolutional Architectures for Time Series Modelling. - Kevin Eloff, Herman A. Engelbrecht:
Toward Collaborative Reinforcement Learning Agents that Communicate Through Text-Based Natural Language. - João Carvalho, Davide Tateo, Fabio Muratore, Jan Peters:
An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients. - Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Positive/Negative Approximate Multipliers for DNN Accelerators. - Pierre Stock, Rémi Gribonval:
An Embedding of ReLU Networks and an Analysis of their Identifiability. - Duy M. H. Nguyen, Truong Thanh Nhat Mai, Ngoc T. T. Than, Alexander Prange, Daniel Sonntag:
Self-Supervised Domain Adaptation for Diabetic Retinopathy Grading using Vessel Image Reconstruction. - Waheeb Yaqub, Manoranjan Mohanty, Basem Suleiman:
Image-Hashing-Based Anomaly Detection for Privacy-Preserving Online Proctoring. - Ashwitha Naikoti, A. Chockalingam:
A DNN-based OTFS Transceiver with Delay-Doppler Channel Training and IQI Compensation. - Aneesh D. H, A. Mohanapriya, P. Renjith, N. Sadagopan:
Steiner Tree in k-star Caterpillar Convex Bipartite Graphs - A Dichotomy. - Parthasaarathy Sudarsanam, Archontis Politis, Konstantinos Drossos:
Assessment of Self-Attention on Learned Features For Sound Event Localization and Detection. - Sadaf Gulshad, Ivan Sosnovik, Arnold W. M. Smeulders:
Built-in Elastic Transformations for Improved Robustness. - Shiwen He, Jun Yuan, Zhenyu An, Yunshan Yi, Yongming Huang:
Maximizing the Set Cardinality of Users Scheduled for Ultra-dense uRLLC Networks. - Leping Li, Hui Liu:
A Hybrid Approach to Fine-grained Automated Fault Localization. - Marc Riera, José-María Arnau, Antonio González:
CREW: Computation Reuse and Efficient Weight Storage for Hardware-accelerated MLPs and RNNs. - Alexander Tornede, Lukas Gehring, Tanja Tornede, Marcel Wever, Eyke Hüllermeier:
Algorithm Selection on a Meta Level. - Rogier van de Wetering:
IT ambidexterity driven patient agility and hospital patient service performance: a variance approach. - Rogier van de Wetering, Johan Versendaal:
The role of IT ambidexterity, digital dynamic capability and knowledge processes as enablers of patient agility: an empirical study. - Ravichandra Addanki, Peter W. Battaglia, David Budden, Andreea Deac, Jonathan Godwin, Thomas Keck, Wai Lok Sibon Li, Alvaro Sanchez-Gonzalez, Jacklynn Stott, Shantanu Thakoor, Petar Velickovic:
Large-scale graph representation learning with very deep GNNs and self-supervision. - Libor Barto, Marcin Kozik:
Combinatorial Gap Theorem and Reductions between Promise CSPs. - Phillip Baumann, Kevin Sturm:
Adjoint based methods to compute higher order topological derivatives with an application to elasticity. - Wenlong Zhang, Yihao Liu, Chao Dong, Yu Qiao:
RankSRGAN: Super Resolution Generative Adversarial Networks with Learning to Rank. - Huiqiang Jiang, Guoxin Wang, Weile Chen, Chengxi Zhang, Börje F. Karlsson:
BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge. - Roberto Gretter, Marco Matassoni, Daniele Falavigna:
Seed Words Based Data Selection for Language Model Adaptation. - Lin Zhang, Ling Feng, Kan Chen, Choy Heng Lai:
Edge of chaos as a guiding principle for modern neural network training. - Dong Li:
Effective maximum principles for spectral methods. - Kirill Zubov, Zoe McCarthy, Yingbo Ma, Francesco Calisto, Valerio Pagliarino, Simone Azeglio, Luca Bottero, Emmanuel Luján, Valentin Sulzer, Ashutosh Bharambe, Nand Vinchhi, Kaushik Balakrishnan, Devesh Upadhyay, Christopher Rackauckas:
NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations. - Enrico Tabanelli, Giuseppe Tagliavini, Luca Benini:
DNN is not all you need: Parallelizing Non-Neural ML Algorithms on Ultra-Low-Power IoT Processors. - Christian Haider, Fabrício Olivetti de França, Bogdan Burlacu, Gabriel Kronberger:
Using Shape Constraints for Improving Symbolic Regression Models. - Zhize Li, Peter Richtárik:
CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression. - Alpesh Bhudia, Daniel O'Keeffe, Daniele Sgandurra, Darren Hurley-Smith:
RansomClave: Ransomware Key Management using SGX. - Lucas Franceschino, David Pichardie, Jean-Pierre Talpin:
Verified Functional Programming of an Abstract Interpreter. - Wen-Chin Huang, Tomoki Hayashi, Xinjian Li, Shinji Watanabe, Tomoki Toda:
On Prosody Modeling for ASR+TTS based Voice Conversion. - Domenico Amato, Raffaele Giancarlo, Giosuè Lo Bosco:
Learned Sorted Table Search and Static Indexes in Small Space: Methodological and Practical Insights via an Experimental Study. - Sayan Bandyapadhyay, Fedor V. Fomin, Petr A. Golovach, Nidhi Purohit, Kirill Simonov:
FPT Approximation for Fair Minimum-Load Clustering. - Delong Chen, Fan Liu, Zheqi Zhang, Xiaomin Lu, Zewen Li:
Significant Wave Height Prediction based on Wavelet Graph Neural Network. - Gabriel Kronberger, Michael Kommenda, Andreas Promberger, Falk Nickel:
Predicting Friction System Performance with Symbolic Regression and Genetic Programming with Factor Variables. - Jie Zhang, Alexandra Brintrup, Anisoara Calinescu, Edward Elson Kosasih, Angira Sharma:
Supply Chain Digital Twin Framework Design: An Approach of Supply Chain Operations Reference Model and System of Systems. - Victor Parque:
On a Class of Polar Log-Aesthetic Curves. - Lingzhi Zhao, Ying Cui, Zhi Liu, Yunfei Zhang, Sheng Yang:
Adaptive Streaming of 360 Videos with Perfect, Imperfect, and Unknown FoV Viewing Probabilities in Wireless Networks. - Diptarka Chakraborty, Debarati Das, Robert Krauthgamer:
Approximate Trace Reconstruction via Median String (in Average-Case). - Kaining Zhou, Yangshuo He, Rui Xiao, Kejie Huang:
Domino: A Tailored Network-on-Chip Architecture to Enable Highly Localized Inter- and Intra-Memory DNN Computing. - Hui Liu, Bo Zhao, Yuefeng Peng, Jiabao Guo, Peng Liu:
Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features. - Olga Zatsarynna, Yazan Abu Farha, Juergen Gall:
Multi-Modal Temporal Convolutional Network for Anticipating Actions in Egocentric Videos. - Elder Vicente de Paulo Sobrinho, Marcelo de Almeida Maia:
On the Interplay of Smells Large Class, Complex Class and Duplicate Code. - Zehong Lin, Hang Liu, Ying-Jun Angela Zhang:
Relay-Assisted Cooperative Federated Learning. - Rayed Alghamdi A. AlGhamdi, Seyed M. Buhari, Madini O. Alassafi:
From Teaching to Coaching: A Case Study of a Technical Communication Course. - Shanel Gauthier, Benjamin Thérien, Laurent Alsène-Racicot, Irina Rish, Eugene Belilovsky, Michael Eickenberg, Guy Wolf:
Parametric Scattering Networks. - Andrew Melnik, Augustin Harter, Christian Limberg, Krishan Rana, Niko Sünderhauf, Helge J. Ritter:
Critic Guided Segmentation of Rewarding Objects in First-Person Views. - Steve Hanneke:
Open Problem: Is There an Online Learning Algorithm That Learns Whenever Online Learning Is Possible? - Zhengbang Cao, Pengpeng Xie:
Perturbation analysis for t-product based tensor inverse, Moore-Penrose inverse and tensor system. - Jackie Ayoub, Na Du, X. Jessie Yang, Feng Zhou:
Predicting Driver Takeover Time in Conditionally Automated Driving. - Eike Petersen, Yannik Potdevin, Esfandiar Mohammadi, Stephan Zidowitz, Sabrina Breyer, Dirk Nowotka, Sandra Henn, Ludwig Pechmann, Martin Leucker, Philipp Rostalski, Christian Herzog:
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Technical Challenges and Solutions. - Nicolas Tempelmeier, Udo Feuerhake, Oskar Wage, Elena Demidova:
Mining Topological Dependencies of Recurrent Congestion in Road Networks. - Luyu Wang, Yujia Li, Özlem Aslan, Oriol Vinyals:
WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset. - Hieu Tran, Son Nguyen, I-Ling Yen, Farokh B. Bastani:
Into Summarization Techniques for IoT Data Discovery Routing. - Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Björn Ommer:
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning. - Thibaut Hirschler, Pablo Antolin, Annalisa Buffa:
Fast and Multiscale Formation of Isogeometric matrices of Microstructured Geometric Models. - Liad Erez, Tomer Koren:
Best-of-All-Worlds Bounds for Online Learning with Feedback Graphs. - Tung Thanh Vu, Hien Quoc Ngo, Thomas L. Marzetta, Michail Matthaiou:
How Does Cell-Free Massive MIMO Support Multiple Federated Learning Groups? - Alberto Cetoli:
Semantic Reasoning with Differentiable Graph Transformations. - Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal:
Active 3D Shape Reconstruction from Vision and Touch. - Khalid Hasan, Partha Chakraborty, Rifat Shahriyar, Anindya Iqbal, Gias Uddin:
A Survey-Based Qualitative Study to Characterize Expectations of Software Developers from Five Stakeholders. - Fritz Laux, Malcolm K. Crowe:
Information Integration using the Typed Graph Model. - Jens Hahne, Ben S. Southworth, Stephanie Friedhoff:
Asynchronous Truncated Multigrid-reduction-in-time (AT-MGRIT). - Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons:
Positively Weighted Kernel Quadrature via Subsampling. - Tim Franzmeyer, Mateusz Malinowski, João F. Henriques:
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards. - Li Gao, Jing Zhang, Lefei Zhang, Dacheng Tao:
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation. - Jie Lei, Tamara L. Berg, Mohit Bansal:
QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries. - Christian Birchler, Sajad Khatiri, Pouria Derakhshanfar, Sebastiano Panichella, Annibale Panichella:
Automated Test Cases Prioritization for Self-driving Cars in Virtual Environments. - Sofie Beier, Sam Berlow, Esat Boucaud, Zoya Bylinskii, Tianyuan Cai, Jenae Cohn, Kathy Crowley, Stephanie L. Day, Tilman Dingler, Jonathan Dobres, Jennifer Healey, Rajiv Jain, Marjorie Jordan, Bernard Kerr, Qisheng Li, Dave B. Miller, Susanne Nobles, Alexandra Papoutsaki, Jing Qian, Tina Rezvanian, Shelley Rodrigo, Ben D. Sawyer, Shannon M. Sheppard, Bram Stein, Rick Treitman, Jen Vanek, Shaun Wallace, Benjamin Wolfe:
Readability Research: An Interdisciplinary Approach. - Guoliang Li, Shuai Wang, Jie Li, Rui Wang, Fan Liu, Meihong Zhang, Xiaohui Peng, Tony Xiao Han:
Rethinking the Tradeoff in Integrated Sensing and Communication: Recognition Accuracy versus Communication Rate. - Zeeshan Khan, Kartheek Akella, Vinay P. Namboodiri, C. V. Jawahar:
More Parameters? No Thanks! - Shuang Ao, Xeno Acharya:
Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue System. - Jonatan Reyes, Lisa Di-Jorio, Cécile Low-Kam, Marta Kersten-Oertel:
Precision-Weighted Federated Learning. - Carola Figueroa Flores, David Berga, Joost van de Weijer, Bogdan Raducanu:
Saliency for free: Saliency prediction as a side-effect of object recognition. - Michael Caballero:
Predicting the 2020 US Presidential Election with Twitter. - Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto:
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning. - Jana Mayer, Johannes Westermann, Juan Pedro Gutiérrez H. Muriedas, Uwe Mettin, Alexander Lampe:
Proximal Policy Optimization for Tracking Control Exploiting Future Reference Information. - James A. Michaelov, Megan D. Bardolph, Seana Coulson, Benjamin K. Bergen:
Different kinds of cognitive plausibility: why are transformers better than RNNs at predicting N400 amplitude? - Ananth Jonnavittula, Dylan P. Losey:
Learning to Share Autonomy Across Repeated Interaction. - Helena Montenegro, Wilson Silva, Jaime S. Cardoso:
Towards Privacy-preserving Explanations in Medical Image Analysis. - Mingyue Ji, Xiang Zhang, Kai Wan:
A New Design Framework for Heterogeneous Uncoded Storage Elastic Computing. - Amil Merchant, Luke Metz, Samuel S. Schoenholz, Ekin Dogus Cubuk:
Learn2Hop: Learned Optimization on Rough Landscapes. - Nicolas M. Müller, Karla Markert, Konstantin Böttinger:
Human Perception of Audio Deepfakes. - Pegdwende Minoungou, Vincent Mousseau, Wassila Ouerdane, Paolo Scotton:
Learning MR-Sort Models from Non-Monotone Data. - Tim Taylor:
Evolutionary Innovation Viewed as Novel Physical Phenomena and Hierarchical Systems Building. - Anup K. Kalia, Jin Xiao, Rahul Krishna, Saurabh Sinha, Maja Vukovic, Debasish Banerjee:
Mono2Micro: A Practical and Effective Tool for Decomposing Monolithic Java Applications to Microservices. - Siddhartha Mishra, David Ochsner, Adrian Montgomery Ruf, Franziska Weber:
Well-posedness of Bayesian inverse problems for hyperbolic conservation laws. - Suryajith Chillara:
Functional lower bounds for restricted arithmetic circuits of depth four. - David Lajeunesse, Hugo D. Scolnik:
A Cooperative Optimal Mining Model for Bitcoin. - Tushar Sarkar, Nishant Rajadhyaksha:
TLA: Twitter Linguistic Analysis. - Tom Bloemers, Roland Tóth, Tom Oomen:
Frequency-Domain Data-Driven Controller Synthesis for Unstable LPV Systems. - Daniel Severo, Elad Domanovitz, Ashish Khisti:
Regularized Classification-Aware Quantization. - Carolina Gil Marcelino, Gabriel M. C. Leite, Carla A. D. M. Delgado, Lucas B. de Oliveira, Elizabeth F. Wanner, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz:
An Efficient Multi-objective Evolutionary Approach for Solving the Operation of Multi-Reservoir System Scheduling in Hydro-Power Plants. - Ashutosh Singandhupe, Hung M. La, Trung Dung Ngo, Van Anh Ho:
Registration of 3D Point Sets Using Correntropy Similarity Matrix. - Akum S. Kang, Loveleen C. Kang, Stephen M. Mastorides, Philip R. Foulis, Lauren A. Deland, Robert P. Seifert, Andrew A. Borkowski:
Machine Learning Approaches to Automated Flow Cytometry Diagnosis of Chronic Lymphocytic Leukemia. - Uri Shaham, Omer Levy:
What Do You Get When You Cross Beam Search with Nucleus Sampling? - Elwin van 't Wout:
Stable and efficient FEM-BEM coupling with OSRC regularisation for acoustic wave transmission. - Eoin Delaney, Derek Greene, Mark T. Keane:
Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions. - Itzik Mizrahi, Shai Avidan:
kNet: A Deep kNN Network To Handle Label Noise. - Maxwell Allman, Venus Lo, S. Thomas McCormick:
Complexity of Source-Sink Monotone 2-Parameter Min Cut. - Kevin Andrews, Manfred Reichert:
Empowering End-users with Object-aware Processes. - Jose Guadalupe Hernandez, Alexander Lalejini, Charles Ofria:
An Exploration of Exploration: Measuring the ability of lexicase selection to find obscure pathways to optimality. - Takeshi Tsukada, Hiroshi Unno, Taro Sekiyama, Kohei Suenaga:
Enhancing Loop-Invariant Synthesis via Reinforcement Learning. - Chun Ouyang, Renuka Sindhgatta, Catarina Moreira:
Explainable AI Enabled Inspection of Business Process Prediction Models. - Sajad Dadgar, Mehdi Ghatee:
Checkovid: A COVID-19 misinformation detection system on Twitter using network and content mining perspectives. - Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii:
Faster Matchings via Learned Duals. - Yuval Dagan, Constantinos Daskalakis, Nishanth Dikkala, Surbhi Goel, Anthimos Vardis Kandiros:
Statistical Estimation from Dependent Data. - Giovanni Interdonato, Stefano Buzzi:
Conjugate Beamforming with Fractional-Exponent Normalization and Scalable Power Control in Cell-Free Massive MIMO. - Fabrizio Carpi, Siddharth Garg, Elza Erkip:
Single-Shot Compression for Hypothesis Testing. - Jayanth Bhargav, Johannes Betz, Hongrui Zheng, Rahul Mangharam:
Track based Offline Policy Learning for Overtaking Maneuvers with Autonomous Racecars. - Mrigank Rochan, Shubhra Aich, Eduardo R. Corral-Soto, Amir Nabatchian, Bingbing Liu:
Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters. - Hugo Vinicius Bitencourt, Frederico Gadelha Guimarães:
High-dimensional Multivariate Time Series Forecasting in IoT Applications using Embedding Non-stationary Fuzzy Time Series. - Xing Chen, Jingtao Li, Chaitali Chakrabarti:
Communication and Computation Reduction for Split Learning using Asynchronous Training. - Xinyi Xu, Cheng Deng, Yaochen Xie, Shuiwang Ji:
Group Contrastive Self-Supervised Learning on Graphs. - Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti:
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. - Ian George, Xinan Chen, Lav R. Varshney:
Limits of Detecting Extraterrestrial Civilizations. - Qiya Hu, Zezhong Wang:
A plane wave method based on approximate wave directions for two dimensional Helmholtz equations with large wave numbers. - Borko Boskovic, Janez Brest:
Two-phase Optimization of Binary Sequences with Low Peak Sidelobe Level Value. - Steve Chien, Prateek Jain, Walid Krichene, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang:
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates. - Michela Meister, Jon M. Kleinberg:
Optimizing the order of actions in contact tracing. - Saikat Majumdar, Mohammad Hossein Samavatian, Kristin Barber, Radu Teodorescu:
Using Undervolting as an On-Device Defense Against Adversarial Machine Learning Attacks. - Mahnoosh Mahdavimoghaddam, Amin Nikanjam, Monireh Abdoos:
Multi-agent Reinforcement Learning Improvement in a Dynamic Environment Using Knowledge Transfer. - Antonio Leanza, Giulio Reina, José-Luis Blanco-Claraco:
A Factor Graph-based approach to vehicle sideslip angle estimation. - Navid Assadian, Sima Hajiaghaei Shanjani, Alireza Zarei:
Separating Colored Points with Minimum Number of Rectangles. - Krishan Rana, Vibhavari Dasagi, Jesse Haviland, Ben Talbot, Michael Milford, Niko Sünderhauf:
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics. - Lin Zhu, Wen Ming Li, Liang Feng Zhang:
On the Modulus in Matching Vector Codes. - Md Hafizul Islam Chowdhuryy, Fan Yao:
Leaking Secrets through Modern Branch Predictor in the Speculative World. - Caleb Ju, Yifan Zhang, Edgar Solomonik:
Communication Lower Bounds for Nested Bilinear Algorithms. - Li Wei, Chongwen Huang, Qinghua Guo, Zhaoyang Zhang, Mérouane Debbah, Chau Yuen:
Bidirectional Approximate Message Passing for RIS-Assisted Multi-User MISO Communications. - Weijia Xu, Batool Haider, Jason Krone, Saab Mansour:
Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer. - Jiawei Yang, Yao Zhang, Yuan Liang, Yang Zhang, Lei He, Zhiqiang He:
TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation. - Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme:
Guided Generation of Cause and Effect. - Minjung Shin, Jeonghoon Kim, Seongho Choi, Yu-Jung Heo, Donghyun Kim, Min Su Lee, Byoung-Tak Zhang, Jeh-Kwang Ryu:
CogME: A Novel Evaluation Metric for Video Understanding Intelligence. - André Gomes, Jacek Kibilda, Nicola Marchetti, Luiz A. DaSilva:
Fundamental requirements for the design of ultra-reliable low-latency mobile networks. - Zhongyang Li, Xiao Ding, Kuo Liao, Ting Liu, Bing Qin:
CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision. - Mingfeng Xin, Hui Wen, Liting Deng, Hong Li, Qiang Li, Limin Sun:
Firmware Re-hosting Through Static Binary-level Porting. - Yeong-Jun Cho:
Weighted Intersection over Union (wIoU): A New Evaluation Metric for Image Segmentation. - Bruno Benedetti, Crystal Lai, Davide Lofano, Frank H. Lutz:
Random Simple-Homotopy Theory. - Ziqi Xu, Jingcheng Li, Yanjun Pan, Loukas Lazos, Ming Li, Nirnimesh Ghose:
PoF: Proof-of-Following for Vehicle Platoons. - Zeeshan Ahmad, Anika Tabassum, Ling Guan, Naimul Mefraz Khan:
ECG Heartbeat Classification Using Multimodal Fusion. - Jugal Garg, Pooja Kulkarni, Aniket Murhekar:
On Fair and Efficient Allocations of Indivisible Public Goods. - Ning Zhang, Junchi Yan:
Melody Structure Transfer Network: Generating Music with Separable Self-Attention. - Joseph Marvin Imperial:
How Do Pedophiles Tweet? Investigating the Writing Styles and Online Personas of Child Cybersex Traffickers in the Philippines. - Ahmet Cetinkaya, Masako Kishida:
Instabilizability Conditions for Continuous-Time Stochastic Systems Under Control Input Constraints. - Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran:
MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis. - Naoto Ohsaka:
On Reconfigurability of Target Sets. - Minh Quang Nguyen, Dumitrel Loghin, Tien Tuan Anh Dinh:
Understanding the Scalability of Hyperledger Fabric. - Dominik Lewy, Jacek Mandziuk:
An overview of mixing augmentation methods and augmentation strategies. - Qizi Zhang, Venkata Sriram Siddhardh Nadendla, S. N. Balakrishnan, Jerome R. Busemeyer:
Strategic Mitigation of Agent Inattention in Drivers with Open-Quantum Cognition Models. - Tianyao He, Wenxuan Liu, Chen Gong, Junchi Yan, Ning Zhang:
Music Plagiarism Detection via Bipartite Graph Matching. - Prasad Vilas Chanekar, Jorge Cortés:
Encoding Impact of Network Modification on Controllability via Edge Centrality Matrix. - Milad Tatar Mamaghani, Yi Hong:
THz Transmission meets Untrusted UAV-Relaying; Trajectory and Communication Co-design for Secrecy Energy Efficiency Maximization. - Jiankai Sun, Yuanshun Yao, Weihao Gao, Junyuan Xie, Chong Wang:
Defending against Reconstruction Attack in Vertical Federated Learning. - Runnan Chen, Yuexin Ma, Nenglun Chen, Lingjie Liu, Zhiming Cui, Yanhong Lin, Wenping Wang:
Structure-Aware Long Short-Term Memory Network for 3D Cephalometric Landmark Detection. - Ryoga Mahara:
Extension of Additive Valuations to General Valuations on the Existence of EFX. - Dor Elimelech, Hengjia Wei, Moshe Schwartz:
On the Generalized Covering Radii of Reed-Muller Codes. - Ning Li, Kaitao Jiang, Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong:
Anomaly Detection via Self-organizing Map. - Anwesha Law, Ashish Ghosh:
Integration of Autoencoder and Functional Link Artificial Neural Network for Multi-label Classification. - Haiwen Hong, Xuan Jin, Yin Zhang, Yunqing Hu, Jingfeng Zhang, Yuan He, Hui Xue:
DRDF: Determining the Importance of Different Multimodal Information with Dual-Router Dynamic Framework. - Andrea Zanette, Kefan Dong, Jonathan N. Lee, Emma Brunskill:
Design of Experiments for Stochastic Contextual Linear Bandits. - Hendrik Heuer:
Audit, Don't Explain - Recommendations Based on a Socio-Technical Understanding of ML-Based Systems. - Julian Bernhard, Patrick Hart, Amit Sahu, Christoph Schöller, Michell Guzman Cancimance:
Risk-Based Safety Envelopes for Autonomous Vehicles Under Perception Uncertainty. - Hendrik Heuer, Hendrik Hoch, Andreas Breiter, Yannis Theocharis:
Auditing the Biases Enacted by YouTube for Political Topics in Germany. - Sofia-Maria Dima, Alexandros Hasikos, Stylianos Kampakis, Theodosis Mourouzis, Andreas Papageorgiou:
Hygiea: A secure, smart, privacy-preserving and interoperable Blockchain solution for the Covid-19 pandemic. - Zoumpolia Dikopoulou, Serafeim P. Moustakidis, Patrik Karlsson:
GLIME: A new graphical methodology for interpretable model-agnostic explanations. - Qiankun Zuo, Baiying Lei, Yanyan Shen, Yong Liu, Zhiguang Feng, Shuqiang Wang:
Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction. - Chao Wang, Gustavo Petri, Yi Lv, Teng Long, Zhiming Liu:
Decidability of Liveness on the TSO Memory Model. - Archiki Prasad, Mohammad Ali Rehan, Shreya Pathak, Preethi Jyothi:
The Effectiveness of Intermediate-Task Training for Code-Switched Natural Language Understanding. - Baihua Shi, Rongen Dong, Qijuan Jie, Lingling Zhu, Feng Shu, Jiangzhou Wang:
DOA Estimation for Hybrid Massive MIMO Systems using Mixed-ADCs: Performance Loss and Energy Efficiency. - Rafael Kallis, Andrea Di Sorbo, Gerardo Canfora, Sebastiano Panichella:
Predicting Issue Types on GitHub. - Huimin Wu, Zhengmian Hu, Bin Gu:
Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients. - Patricia Bouyer, Stéphane Le Roux, Nathan Thomasset:
Finite-memory strategies in two-player infinite games. - Claire Chainais-Hillairet, Maxime Herda, Simon Lemaire, Julien Moatti:
Long-time behaviour of hybrid finite volume schemes for advection-diffusion equations: linear and nonlinear approaches. - Jérôme Dockès, Gaël Varoquaux, Jean-Baptiste Poline:
Preventing dataset shift from breaking machine-learning biomarkers. - Alex John Quijano, Rick Dale, Suzanne Sindi:
A Statistical Model of Word Rank Evolution. - Eura Shin, Pedja Klasnja, Susan A. Murphy, Finale Doshi-Velez:
Online structural kernel selection for mobile health. - Nikolaos Dionelis:
Boundary of Distribution Support Generator (BDSG): Sample Generation on the Boundary. - Feng Xie, Han Yuan, Yilin Ning, Marcus Eng Hock Ong, Mengling Feng, Wynne Hsu, Bibhas Chakraborty, Nan Liu:
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies. - Zifeng Yuan, Huey-Eng Chua, Sourav S. Bhowmick, Zekun Ye, Wook-Shin Han, Byron Choi:
Towards Plug-and-Play Visual Graph Query Interfaces: Data-driven Canned Pattern Selection for Large Networks. - Junren Pan, Baiying Lei, Yanyan Shen, Yong Liu, Zhiguang Feng, Shuqiang Wang:
Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer's Disease Analysis. - Deep Patel, P. S. Sastry:
Memorization in Deep Neural Networks: Does the Loss Function matter? - James Noeckel, Haisen Zhao, Brian Curless, Adriana Schulz:
Fabrication-Aware Reverse Engineering for Carpentry. - Muhammad Aslam Jarwar, Adriane Chapman, Mark Elliot, Fatemeh Raji:
Provenance, Anonymisation and Data Environments: a Unifying Construction. - Mirco Theile, Jonathan Ponniah, Or D. Dantsker, Marco Caccamo:
Multi-Agent Belief Sharing through Autonomous Hierarchical Multi-Level Clustering. - Jannik Fischbach, Tobias Springer, Julian Frattini, Henning Femmer, Andreas Vogelsang, Daniel Méndez:
Fine-Grained Causality Extraction From Natural Language Requirements Using Recursive Neural Tensor Networks. - Korbinian Christl, Thorsten Tarrach:
The analysis approach of ThreatGet. - Chupeng Ma, Robert Scheichl:
Error estimates for fully discrete generalized FEMs with locally optimal spectral approximations. - Samuel Olatunji, Andre Potenza, Andrey Kiselev, Tal Oron-Gilad, Amy Loutfi, Yael Edan:
Levels of Automation for a Mobile Robot Teleoperated by a Caregiver. - Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu:
SkyCell: A Space-Pruning Based Parallel Skyline Algorithm. - Dimitrios I. Koutras, Athanasios Ch. Kapoutsis, Angelos A. Amanatiadis, Elias B. Kosmatopoulos:
MarsExplorer: Exploration of Unknown Terrains via Deep Reinforcement Learning and Procedurally Generated Environments. - Srikrishna Jaganathan, Jian Wang, Anja Borsdorf, Karthik Shetty, Andreas K. Maier:
Deep Iterative 2D/3D Registration. - Nils Nordmark, Mola Ayenew:
Window Detection In Facade Imagery: A Deep Learning Approach Using Mask R-CNN. - Mohak Chadha, Anshul Jindal, Michael Gerndt:
Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions. - Ren Hu, Qifeng Li:
Optimal Operation of Power Systems with Energy Storage under Uncertainty: A Scenario-based Method with Strategic Sampling. - Thiviyan Thanapalasingam, Lucas van Berkel, Peter Bloem, Paul Groth:
Relational Graph Convolutional Networks: A Closer Look. - Victor A. Melent'ev:
Formal method of synthesis of optimal topologies of computing systems based on projective description of graphs. - Kouta Futai, Niklas Kolbe, Hirofumi Notsu, Tasuku Suzuki:
A mass-conservative Lagrange-Galerkin scheme of second order in time for convection-diffusion problems. - Henry C. Watkins, Robert J. Gray, Ashwani Jha, Parashkev Nachev:
An artificial intelligence natural language processing pipeline for information extraction in neuroradiology. - Noah Jadallah, Jannik Fischbach, Julian Frattini, Andreas Vogelsang:
CATE: CAusality Tree Extractor from Natural Language Requirements. - Minjia Pan, Rong-Hua Li, Qi Zhang, Yongheng Dai, Qun Tian, Guoren Wang:
Fairness-aware Maximal Clique Enumeration. - Jérémie Donà, Patrick Gallinari:
Differentiable Feature Selection, a Reparameterization Approach. - Karel Chvalovský, Jan Jakubuv, Miroslav Olsák, Josef Urban:
Learning Theorem Proving Components. - Nicola Apollonio, Paolo Giulio Franciosa, Daniele Santoni:
On function homophily of microbial Protein-Protein Interaction Networks. - Robert Schaback:
$H$-Sets for Kernel-Based Spaces. - Jan Lehecka, Jan Svec:
Comparison of Czech Transformers on Text Classification Tasks. - Ranya Aloufi, Hamed Haddadi, David Boyle:
A Tandem Framework Balancing Privacy and Security for Voice User Interfaces. - Panagiotis Miliadis, Christos-Savvas Bouganis, Dionisios N. Pnevmatikatos:
Performance landscape of resource-constrained platforms targeting DNNs. - Alexandra Dana, Maor Shutman, Yotam Perlitz, Ran Vitek, Tomer Peleg, Roy J. Jevnisek:
You Better Look Twice: a new perspective for designing accurate detectors with reduced computations. - Qi Zhang, Rong-Hua Li, Minjia Pan, Yongheng Dai, Guoren Wang, Ye Yuan:
Efficient Top-k Ego-Betweenness Search. - Lukasz Plociniczak:
A linear Galerkin numerical method for a strongly nonlinear subdiffusion equation. - Ali Rezaei Nasab, Mojtaba Shahin, Peng Liang, Mohammad Ehsan Basiri, Seyed Ali Hoseyni Raviz, Hourieh Khalajzadeh, Muhammad Waseem, Amine Naseri:
Automated Identification of Security Discussions in Microservices Systems: Industrial Surveys and Experiments. - Liang Hou, Qi Cao, Huawei Shen, Xueqi Cheng:
cGANs with Auxiliary Discriminative Classifier. - Mohamed Ali Souibgui, Alicia Fornés, Yousri Kessentini, Beáta Megyesi:
Few Shots Is All You Need: A Progressive Few Shot Learning Approach for Low Resource Handwriting Recognition. - Christian Arendt, Manuel Patchou, Stefan Böcker, Janis Tiemann, Christian Wietfeld:
Pushing the Limits: Resilience Testing for Mission-Critical Machine-Type Communication. - Mengcheng Lan, Shuliang Ning, Yanran Li, Qian Chen, Xunlai Chen, Xiaoguang Han, Shuguang Cui:
From Single to Multiple: Leveraging Multi-level Prediction Spaces for Video Forecasting. - Satwik Prabhu Kumble, Dick H. J. Epema, Stefanie Roos:
How Lightning's Routing Diminishes its Anonymity. - Wenbo Gong, Yingzhen Li:
Interpreting diffusion score matching using normalizing flow. - Luis Olsina, Guido Tebes, Pablo Becker:
SituationCO v1.2's Terms, Properties, Relationships and Axioms - A Core Ontology for Particular and Generic Situations. - Johan S. H. van Leeuwaarden, Clara Stegehuis:
Robust subgraph counting with distribution-free random graph analysis. - Dung Daniel T. Ngo, Logan Stapleton, Vasilis Syrgkanis, Zhiwei Steven Wu:
Incentivizing Compliance with Algorithmic Instruments. - Shuailin Li, Zhitong Gao, Xuming He:
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation. - Mihály Kovács, Annika Lang, Andreas Petersson:
Approximation of SPDE covariance operators by finite elements: A semigroup approach. - Martin Pilát:
Training Electric Vehicle Charging Controllers with Imitation Learning. - Léa Batteux, Thierry Gallouët, Raphaèle Herbin, Jean-Claude Latché, Pascal Poullet:
Convergence of the implicit MAC-discretized Navier-Stokes equations with variable density and viscosity on non-uniform grids. - Qishen Han, Sikai Ruan, Yuqing Kong, Ao Liu, Farhad Mohsin, Lirong Xia:
Truthful Information Elicitation from Hybrid Crowds. - Omer Lev, Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov:
Peer Selection with Noisy Assessments. - Mostafa Chegenizadeh, Mohammad Ali, Javad Mohajeri, Mohammad Reza Aref:
HUAP: Practical Attribute-based Access Control Supporting Hidden Updatable Access Policies for Resource-Constrained Devices. - Mahmood Safaei, Maha Driss, Wadii Boulila, Elankovan A. Sundararajan, Mitra Safaei:
Global Outliers Detection in Wireless Sensor Networks: A Novel Approach Integrating Time-Series Analysis, Entropy, and Random Forest-based Classification. - Lin Pan, Chung-Wei Hang, Avirup Sil, Saloni Potdar, Mo Yu:
Improved Text Classification via Contrastive Adversarial Training. - Naoise Holohan, Stefano Braghin:
Secure Random Sampling in Differential Privacy. - Luke A. Bauer, Vincent Bindschaedler:
Generative Models for Security: Attacks, Defenses, and Opportunities. - Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman:
S4T: Source-free domain adaptation for semantic segmentation via self-supervised selective self-training. - Ildus Sadrtdinov, Nadezhda Chirkova, Ekaterina Lobacheva:
On the Memorization Properties of Contrastive Learning. - Majid Raeis, Alberto Leon-Garcia:
A Deep Reinforcement Learning Approach for Fair Traffic Signal Control. - Thilo Krachenfels, Jean-Pierre Seifert, Shahin Tajik:
Trojan Awakener: Detecting Dormant Malicious Hardware Using Laser Logic State Imaging. - Jiaqing Kou, Aurelio Hurtado-de-Mendoza, Saumitra Joshi, Soledad Le Clainche, Esteban Ferrer:
Eigensolution analysis of immersed boundary method based on volume penalization: applications to high-order schemes. - Leopoldo E. Bertossi, Gabriela Reyes:
Answer-Set Programs for Reasoning about Counterfactual Interventions and Responsibility Scores for Classification. - Emanuele De Angelis, Wim Vanhoof:
Pre-proceedings of the 31st International Symposium on Logic-Based Program Synthesis and Transformation (LOPSTR 2021). - Wentao Bao, Qi Yu, Yu Kong:
Evidential Deep Learning for Open Set Action Recognition. - Katerina Paltoglou, Vassilis E. Zafeiris, N. A. Diamantidis, Emmanouel A. Giakoumakis:
Automated Refactoring of Legacy JavaScript Code to ES6 Modules. - Yitong Lu, Anuruddha Bhattacharjee, Daniel Biediger, MinJun Kim, Aaron T. Becker:
Enumeration of Polyominoes & Polycubes Composed of Magnetic Cubes. - Suhaib Mujahid, Diego Elias Costa, Rabe Abdalkareem, Emad Shihab, Mohamed Aymen Saied, Bram Adams:
Towards Using Package Centrality Trend to Identify Packages in Decline. - Emily Black, Matt Fredrikson:
Leave-one-out Unfairness. - Sebastián Zudaire, Leandro Nahabedian, Sebastián Uchitel:
Assured Mission Adaptation of UAVs. - Kunhong Wu, Yucheng Shi, Yahong Han, Yunfeng Shao, Bingshuai Li:
Black-box Probe for Unsupervised Domain Adaptation without Model Transferring. - Jiaqing Kou, Esteban Ferrer:
A combined volume penalization / selective frequency damping approach for immersed boundary methods applied to high-order schemes. - Tim Hahn, Hamidreza Jamalabadi, Daniel Emden, Janik Goltermann, Jan Ernsting, Nils R. Winter, Lukas Fisch, Ramona Leenings, Kelvin Sarink, Vincent Holstein, Marius Gruber, Dominik Grotegerd, Susanne Meinert, Katharina Dohm, Elisabeth J. Leehr, Maike Richter, Lisa Sindermann, Verena Enneking, Hannah Lemke, Stephanie H. Witt, Marcella Rietschel, Katharina Brosch, Julia-Katharina Pfarr, Tina Meller, Kai Gustav Ringwald, Simon Schmitt, Frederike Stein, Igor Nenadic, Tilo Kircher, Bertram Müller-Myhsok, Till F. M. Andlauer, Jonathan Repple, Udo Dannlowski, Nils Opel:
A Network Control Theory Approach to Longitudinal Symptom Dynamics in Major Depressive Disorder. - Srijan Bansal, Vishal Garimella, Ayush Suhane, Animesh Mukherjee:
Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages. - Qingxiang Wang, Cezary Kaliszyk:
JEFL: Joint Embedding of Formal Proof Libraries. - Wentao Bao, Qi Yu, Yu Kong:
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation. - Andrzej Banburski, Fernanda De La Torre, Nishka Pant, Ishana Shastri, Tomaso A. Poggio:
Distribution of Classification Margins: Are All Data Equal? - Shruti Phadke, Mattia Samory, Tanushree Mitra:
Characterizing Social Imaginaries and Self-Disclosures of Dissonance in Online Conspiracy Discussion Communities. - Pranjal Awasthi, Alex Tang, Aravindan Vijayaraghavan:
Efficient Algorithms for Learning Depth-2 Neural Networks with General ReLU Activations. - Daniel S. Zalkind, Marco M. Nicotra, Lucy Y. Pao:
Constrained Power Reference Control for Wind Turbines. - Anastasia Antsiferova, Alexander Yakovenko, Nickolay Safonov, Dmitriy L. Kulikov, Alexander Gushin, Dmitriy S. Vatolin:
Objective video quality metrics application to video codecs comparisons: choosing the best for subjective quality estimation. - Shoufa Chen, Enze Xie, Chongjian Ge, Ding Liang, Ping Luo:
CycleMLP: A MLP-like Architecture for Dense Prediction. - Arjun Soin, Pratik Bhatu, Rohit Takhar, Nishanth Chandran, Divya Gupta, Javier Alvarez-Valle, Rahul Sharma, Vidur Mahajan, Matthew P. Lungren:
Production-level Open Source Privacy Preserving Inference in Medical Imaging. - Geovane Fedrecheski, Laisa C. P. Costa, Samira Afzal, Jan M. Rabaey, Roseli D. Lopes, Marcelo Knörich Zuffo:
A low-overhead approach for self-sovereign identity in IoT. - Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu C. Aggarwal, Chang-Tien Lu:
Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks. - Matthias Meyer, Michaela Wenner, Clément Hibert, Fabian Walter, Lothar Thiele:
Using system context information to complement weakly labeled data. - Lianna Zhao, Luigi Vigneri, Andrew Cullen, William Sanders, Pietro Ferraro, Robert Shorten:
Secure Access Control for DAG-based Distributed Ledgers. - Aurelia Bustos, Patricio Mas-Serrano, Mari L. Boquera, José María Salinas:
Machine Learning for Real-World Evidence Analysis of COVID-19 Pharmacotherapy. - S. Valli Sanghami, John J. Lee, Qin Hu:
Machine Learning Enhanced Blockchain Consensus with Transaction Prioritization for Smart Cities. - Monik Raj Behera, Sudhir Upadhyay, Suresh Shetty:
Federated Learning using Smart Contracts on Blockchains, based on Reward Driven Approach. - Sue Bai, Dakota Drake Legge, Ashley Young, Shan Bao, Feng Zhou:
Investigating External Interaction Modality and Design Between Automated Vehicles and Pedestrians at Crossings. - Dana Kenna:
Using Adversarial Debiasing to Remove Bias from Word Embeddings. - Karl Pertsch, Youngwoon Lee, Yue Wu, Joseph J. Lim:
Demonstration-Guided Reinforcement Learning with Learned Skills. - Shobha Venkataraman, Brandon Amos:
Neural Fixed-Point Acceleration for Convex Optimization. - Carlos Olivares, Raziur Rahman, Christopher Stankus, Jade Hampton, Andrew Zedwick, Moinuddin Ahmed:
Predicting Power Electronics Device Reliability under Extreme Conditions with Machine Learning Algorithms. - Victor Croisfelt, Taufik Abrão, José Carlos Marinello Filho:
Cell-Free SUCRe Protocol: A User-Centric Adaptation. - Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan:
How to Tell Deep Neural Networks What We Know. - Minghan Zhu, Maani Ghaffari, Huei Peng:
Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations. - Boris Ivanovic, Marco Pavone:
Rethinking Trajectory Forecasting Evaluation. - Onel Luis Alcaraz López, Bruno Clerckx, Matti Latva-aho:
Dynamic RF Combining for Multi-Antenna Ambient Energy Harvesting. - Aman Chadha, Vinija Jain:
iReason: Multimodal Commonsense Reasoning using Videos and Natural Language with Interpretability. - Kendra Albert, Maggie K. Delano, Bogdan Kulynych, Ram Shankar Siva Kumar:
Adversarial for Good? How the Adversarial ML Community's Values Impede Socially Beneficial Uses of Attacks. - Ronny Ronen, Adi Eliahu, Orian Leitersdorf, Natan Peled, Kunal Korgaonkar, Anupam Chattopadhyay, Ben Perach, Shahar Kvatinsky:
The Bitlet Model: A Parameterized Analytical Model to Compare PIM and CPU Systems. - Smiti Kaul, David Borland, Nan Cao, David Gotz:
Improving Visualization Interpretation Using Counterfactuals. - Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-text: Active Learning for Text Classification in Python. - Christian E. Schaerer, Daniel B. Szyld, Pedro J. Torres:
A posteriori superlinear convergence bounds for block conjugate gradient. - Dirk Bergemann, Alessandro Bonatti, Andreas A. Haupt, Alex Smolin:
The Optimality of Upgrade Pricing. - José Enrique Alvarez Iglesias, Mayrim Vega-Hernández, Eduardo Martínez-Montes:
A Multi-objective Evolutionary Algorithm for EEG Inverse Problem. - Ali Balali, Masoud Asadpour, Seyed Hossein Jafari:
COfEE: A Comprehensive Ontology for Event Extraction from text, with an online annotation tool. - Vladimir Vargas-Calderón, Andreina Moros Ochoa, Gilmer Yovani Castro Nieto, Jorge E. Camargo:
Machine learning for assessing quality of service in the hospitality sector based on customer reviews. - Mitchell Black, Amir Nayyeri:
Finding surfaces in simplicial complexes with bounded-treewidth 1-skeleton. - Mikhail Burtsev, Anna Rumshisky:
Multi-Stream Transformers. - Edward C. Schrom II, Ann Kinzig, Stephanie Forrest, Andrea L. Graham, Simon A. Levin, Carl T. Bergstrom, Carlos Castillo-Chavez, James P. Collins, Rob J. De Boer, Adam Doupé, Roya Ensafi, Stuart I. Feldman, Bryan T. Grenfell, J. Alex Halderman, Silvie Huijben, Carlo C. Maley, Melanie E. Moses, Alan S. Perelson, Charles Perrings, Joshua B. Plotkin, Jennifer Rexford, Mohit Tiwari:
Challenges in cybersecurity: Lessons from biological defense systems. - Benjamin Michalowicz, Eric Raut, Yan Kang, Tony Curtis, Barbara M. Chapman, Dossay Oryspayev:
Comparing OpenMP Implementations With Applications Across A64FX Platforms. - Liang Sun, Leonardo Escamilla:
Uncertainty-Aware Task Allocation for Distributed Autonomous Robots. - Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, Natalie Dullerud, Marzyeh Ghassemi, Shih-Cheng Huang, Po-Chih Kuo, Matthew P. Lungren, Lyle J. Palmer, Brandon J. Price, Saptarshi Purkayastha, Ayis Pyrros, Luke Oakden-Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, Hari Trivedi, Ryan Wang, Zachary Zaiman, Haoran Zhang, Judy W. Gichoya:
Reading Race: AI Recognises Patient's Racial Identity In Medical Images. - Yossi Arjevani, Michael Field:
Analytic Study of Families of Spurious Minima in Two-Layer ReLU Neural Networks. - Mikhail Burov, Murat Arcak, Alexander Kurzhanskiy:
Speed Advisory System Using Real-Time Actuated Traffic Light Phase Length Prediction. - Felix Thoma, Johannes Bayer, Yakun Li:
A Public Ground-Truth Dataset for Handwritten Circuit Diagram Images. - Shaykh Siddique:
The Factors of Code Reviewing Process to Ensure Software Quality. - Kai Gao, Jingjin Yu:
Capacitated Vehicle Routing with Target Geometric Constraints. - Nathan Lutes, K. Krishnamurthy, Venkata Sriram Siddhardh Nadendla, S. N. Balakrishnan:
Online-Learning Deep Neuro-Adaptive Dynamic Inversion Controller for Model Free Control. - Mohammad Hossein Shaker, Eyke Hüllermeier:
Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference. - Omar Peracha:
JS Fake Chorales: a Synthetic Dataset of Polyphonic Music with Human Annotation. - Xuan Zhao, Marcos Campos:
Reinforcement Learning Agent Training with Goals for Real World Tasks. - Yinghao Aaron Li, Ali Zare, Nima Mesgarani:
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion. - Gustavo H. C. de Oliveira, Agnaldo de Souza Batista, Michele Nogueira, Aldri Santos:
An Access Control for IoT Based on Network Community Perception and Social Trust Against Sybil Attacks. - Mohammadhossein Toutiaee, Xiaochuan Li, Yogesh Chaudhari, Shophine Sivaraja, Aishwarya Venkataraj, Indrajeet Y. Javeri, Yuan Ke, Ismailcem Budak Arpinar, Nicole Lazar, John A. Miller:
Improving COVID-19 Forecasting using eXogenous Variables. - Óscar Escudero-Arnanz, Joaquín Álvarez-Rodríguez, Karl Øyvind Mikalsen, Robert Jenssen, Cristina Soguero-Ruíz:
On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit. - Anna Fedyukova, Douglas Pires, Daniel Capurro:
Quantifying machine learning-induced overdiagnosis in sepsis. - Sara Beery, Elijah Cole, Joseph Parker, Pietro Perona, Kevin Winner:
Species Distribution Modeling for Machine Learning Practitioners: A Review. - Yang Xu, Haibin Kan, Guangyue Han:
Fourier-Reflexive Partitions Induced by Poset Metric. - Keivan Nalaie, Rong Zheng:
DeepScale: An Online Frame Size Adaptation Framework to Accelerate Visual Multi-object Tracking. - Dimitri P. Bertsekas:
Distributed Asynchronous Policy Iteration for Sequential Zero-Sum Games and Minimax Control. - Takao Murakami, Hiromi Arai, Koki Hamada, Takuma Hatano, Makoto Iguchi, Hiroaki Kikuchi, Atsushi Kuromasa, Hiroshi Nakagawa, Yuichi Nakamura, Kenshiro Nishiyama, Ryo Nojima, Hidenobu Oguri, Chiemi Watanabe, Akira Yamada, Takayasu Yamaguchi, Yuji Yamaoka:
Designing a Location Trace Anonymization Contest. - Kaihui Liang, Patrick L. Lange, Yoojung Oh, Jingwen Zhang, Yoshimi Fukuoka, Zhou Yu:
Evaluation of In-Person Counseling Strategies To Develop Physical Activity Chatbot for Women. - Alvi Ataur Khalil, Mohamed Y. Selim, Mohammad Ashiqur Rahman:
CURE: Enabling RF Energy Harvesting using Cell-Free Massive MIMO UAVs Assisted by RIS. - Alina Arseniev-Koehler:
Theoretical foundations and limits of word embeddings: what types of meaning can they capture? - Yifan Li, Xiaohui Yu, Nick Koudas:
LES3: Learning-based Exact Set Similarity Search. - Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo:
Triplet is All You Need with Random Mappings for Unsupervised Visual Representation Learning. - Chaoran Cui, Jian Zong, Yuling Ma, Xinhua Wang, Lei Guo, Meng Chen, Yilong Yin:
Tri-Branch Convolutional Neural Networks for Top-$k$ Focused Academic Performance Prediction. - Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Confidence-Aware Scheduled Sampling for Neural Machine Translation. - Xiaohu Zheng, Jun Zhang, Ning Wang, Guijian Tang, Wen Yao:
Mini-data-driven Deep Arbitrary Polynomial Chaos Expansion for Uncertainty Quantification. - Libo Sun, James Browning, Roberto Perera:
Shedding some light on Light Up with Artificial Intelligence. - Xiao Wang, Xiujun Shu, Shiliang Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu:
MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking. - Qingqing Zhou, Chengzhi Zhang:
Impacts Towards a comprehensive assessment of the book impact by integrating multiple evaluation sources. - SooJean Han, Soon-Jo Chung, John C. Doyle:
A Two-Part Controller Synthesis Approach for Nonlinear Stochastic Systems Perturbed by Lévy Noise Using Renewal Theory and HJB-Based Impulse Control. - (Withdrawn) Spinning Sequence-to-Sequence Models with Meta-Backdoors.
- Siqi Fan, I-Hong Hou, Van Sy Mai, Lotfi Benmohamed:
Online Service Caching and Routing at the Edge with Switching Cost. - Weiqi Li, Zhen Chen, Zhiying Wang, Syed Ali Jafar, Hamid Jafarkhani:
Flexible Distributed Matrix Multiplication. - Zhendong Chu, Hongning Wang:
Improve Learning from Crowds via Generative Augmentation. - Arnab Bhattacharyya, Davin Choo, Rishikesh Gajjala, Sutanu Gayen, Yuhao Wang:
Learning Sparse Fixed-Structure Gaussian Bayesian Networks. - Majid Farhadi, Alejandro Toriello, Prasad Tetali:
The Traveling Firefighter Problem. - Hyukseong Kwon, Amir M. Rahimi, Kevin G. Lee, Amit Agarwal, Rajan Bhattacharyya:
CogSense: A Cognitively Inspired Framework for Perception Adaptation. - Fan Wu, Min Gao, Junliang Yu, Zongwei Wang, Kecheng Liu, Wange Xu:
Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack. - Sascha Kurz:
The Public Good index for games with several levels of approval in the input and output. - Wang Liu, Ying Cui, Feng Yang, Lianghui Ding, Jun Sun:
Joint Optimization of Preamble Selection and Access Barring for Random Access in MTC with General Device Activities. - Chenyu Tian, Ran Yu, Xinyuan Zhao, Weihao Xia, Haoqian Wang, Yujiu Yang:
PoseDet: Fast Multi-Person Pose Estimation Using Pose Embedding. - Qing Zhang, Xueping Gong, Huizhong Li, Hao Wu, Jiheng Zhang:
Improving Blockchain Consistency by Assigning Weights to Random Blocks. - Junghoon Lee, Jounghee Kim, Pilsung Kang:
Back-Translated Task Adaptive Pretraining: Improving Accuracy and Robustness on Text Classification. - Zhengxiong Luo, Zhicheng Wang, Yan Huang, Liang Wang, Tieniu Tan, Erjin Zhou:
Adaptive Dilated Convolution For Human Pose Estimation. - Purathekandy Anjali, Deepak N. Subramani:
Inter and Intra-Annual Spatio-Temporal Variability of Habitat Suitability for Asian Elephants in India: A Random Forest Model-based Analysis. - Cheng Yang:
Copy and Paste method based on Pose for Re-identification. - Gihyuk Ko, Gyumin Lim:
Unsupervised Detection of Adversarial Examples with Model Explanations. - Phillip Lippe, Taco Cohen, Efstratios Gavves:
Efficient Neural Causal Discovery without Acyclicity Constraints. - Mingyuan Bai, S. T. Boris Choy, Junping Zhang, Junbin Gao:
Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications. - Tali Kaufman, Izhar Oppenheim:
High dimensional expansion implies amplified local testability. - Lukasz Plociniczak:
On a discrete composition of the fractional integral and Caputo derivative. - Aditya Gopalan, Venkatesh Saligrama, Braghadeesh Lakshminarayanan:
Bandit Quickest Changepoint Detection. - Sihyun Yu, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin:
Abstract Reasoning via Logic-guided Generation. - Xia Li, Qin Yue, Daitao Huang:
Binary irreducible quasi-cyclic parity-check subcodes of Goppa codes and extended Goppa codes. - Roland Albert A. Romero, Mariefel Nicole Y. Deypalan, Suchit Mehrotra, John Titus Jungao, Natalie E. Sheils, Elisabetta Manduchi, Jason H. Moore:
Benchmarking AutoML Frameworks for Disease Prediction Using Medical Claims. - Joseph Corneli, Alex Murphy, Raymond S. Puzio, Leo Vivier, Noorah Alhasan, Charles Jeffrey Danoff, Vitor Bruno, Charlotte Pierce:
Patterns of Patterns. - Isaac J. Sledge, Christopher D. Toole, Joseph A. Maestri, José C. Príncipe:
External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery. - Joachim Sprave, Christian Drescher:
Evaluating the Quality of Finite Element Meshes with Machine Learning. - Tobias Fankhauser, Marc E. Solèr, Rudolf M. Füchslin, Kurt Stockinger:
Multiple Query Optimization using a Hybrid Approach of Classical and Quantum Computing. - Yonghyun Park, Jongpyo Jun, Hyoung Il Son:
A Sensor Fusion-based Cutting Device Attitude Control to Improve the Accuracy of Korean Cabbage Harvesting. - Kristen Kessel, Amin Saberi, Ali Shameli, David Wajc:
The Stationary Prophet Inequality Problem. - Carlo Condo, Valerio Bioglio, Ingmar Land:
High-performance low-complexity error pattern generation for ORBGRAND decoding. - Ying Zhang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Target-Oriented Fine-tuning for Zero-Resource Named Entity Recognition. - Takashi Shibata, Masayuki Tanaka, Masatoshi Okutomi:
Geometric Data Augmentation Based on Feature Map Ensemble. - Piyus Kedia, Rahul Purandare, Udit Kumar Agarwal, Rishabh:
CGuard: Efficient Spatial Safety for C. - Cezara Benegui, Radu Tudor Ionescu:
Improving the Authentication with Built-in Camera Protocol Using Built-in Motion Sensors: A Deep Learning Solution. - Wenwen Gong, Huiping Wu, Xiaokang Wang, Xuyun Zhang, Yifei Chen, Song Jia, Mohammad Reza Khosravi:
Diversity-aware Web APIs Assignment and Recommendation for Mashup Creation with Compatibility Guarantee. - Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota:
An Empirical Study on Code Comment Completion. - Peter D. Mosses:
Fundamental Constructs in Programming Languages. - Konstantinos Makantasis, David Melhart, Antonios Liapis, Georgios N. Yannakakis:
Privileged Information for Modeling Affect In The Wild. - Keenan Jones, Jason R. C. Nurse, Shujun Li:
Out of the Shadows: Analyzing Anonymous' Twitter Resurgence during the 2020 Black Lives Matter Protests. - Preetha S, Rajeshwari K, Anitha C, Kausthub Narayan:
Codeathon Activity: A Design Prototype for Real World Problems. - Kostas Kolomvatsos, Christos Anagnostopoulos:
A Proactive Management Scheme for Data Synopses at the Edge. - Mathias Anselmann, Markus Bause:
A geometric multigrid method for space-time finite element discretizations of the Navier-Stokes equations and its application to 3d flow simulation. - Martin Ruefenacht, Derek Schafer, Anthony Skjellum, Purushotham V. Bangalore:
MPIs Language Bindings are Holding MPI Back. - Sarad Venugopalan, Ivan Homoliak:
Always on Voting: A Framework for Repetitive Voting on the Blockchain. - Tim Binz, Balázs Kovács:
A convergent finite element algorithm for mean curvature flow in higher codimension. - Iaroslav Okunevich, Daria Trinitatova, Pavel Kopanev, Dzmitry Tsetserukou:
MobileCharger: an Autonomous Mobile Robot with Inverted Delta Actuator for Robust and Safe Robot Charging. - Martin Graf, Lukas Laskowski, Florian Papsdorf, Florian Sold, Roland Gremmelspacher, Felix Naumann, Fabian Panse:
Frost: Benchmarking and Exploring Data Matching Results. - Jakob Schyga, Johannes Hinckeldeyn, Benjamin Bruss, Christoph Bamberger, Jochen Kreutzfeldt:
Application-driven Test and Evaluation Framework for Indoor Localization Systems in Warehouses. - Ramin Barati, Reza Safabakhsh, Mohammad Rahmati:
Towards Explaining Adversarial Examples Phenomenon in Artificial Neural Networks. - Yanwen Fang, Philip L. H. Yu, Yaohua Tang:
CNN-based Realized Covariance Matrix Forecasting. - Moritz Ibing, Isaak Lim, Leif Kobbelt:
3D Shape Generation with Grid-based Implicit Functions. - Ajmal Aziz, Edward Elson Kosasih, Ryan-Rhys Griffiths, Alexandra Brintrup:
Data Considerations in Graph Representation Learning for Supply Chain Networks. - Xiuzhen Zhang, Yao Zhang, Dengji Zhao:
Incentive Compatible Mechanism for Influential Agent Selection. - Matej Ulcar, Ales Zagar, Carlos Santos Armendariz, Andraz Repar, Senja Pollak, Matthew Purver, Marko Robnik-Sikonja:
Evaluation of contextual embeddings on less-resourced languages. - Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolò Fusi, Arash Vahdat:
HANT: Hardware-Aware Network Transformation. - Ke-Yue Zhang, Taiping Yao, Jian Zhang, Shice Liu, Bangjie Yin, Shouhong Ding, Jilin Li:
Structure Destruction and Content Combination for Face Anti-Spoofing. - Jesús M. González-Barahona:
Factors determining maximum energy consumption of Bitcoin miners. - Songuel Polat, Alain Trémeau, Frank Boochs:
Rule-Based Classification of Hyperspectral Imaging Data. - Bogdan Burlacu, Lukas Kammerer, Michael Affenzeller, Gabriel Kronberger:
Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression. - Joaquín Cordero, Alfredo Bolt, Mauricio Valle:
Análisis de Canasta de mercado en supermercados mediante mapas auto-organizados. - Mohit Mayank, Shakshi Sharma, Rajesh Sharma:
DEAP-FAKED: Knowledge Graph based Approach for Fake News Detection. - Venktesh V, Mukesh K. Mohania, Vikram Goyal:
TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy. - Byung-Hak Kim, Varun Ganapathi:
Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines. - Dominic B. Dayta, Erniel B. Barrios:
Semiparametric Latent Topic Modeling on Consumer-Generated Corpora. - Rajvir Kaur, Jeewani Anupama Ginige, Oliver Obst:
A Systematic Literature Review of Automated ICD Coding and Classification Systems using Discharge Summaries. - Monica Roy, Kaiyu Zheng, Jason Liu, Stefanie Tellex:
Dialogue Object Search. - Matthew Fahrbach, Mehrdad Ghadiri, Thomas Fu:
Fast Low-Rank Tensor Decomposition by Ridge Leverage Score Sampling. - Hanyu Shi, Mirela Silva, Daniel E. Capecci, Luiz Giovanini, Lauren Czech, Juliana Fernandes, Daniela Oliveira:
Lumen: A Machine Learning Framework to Expose Influence Cues in Text. - Gaëtan Rensonnet, Louise Adam, Benoît Macq:
Solving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary. - Samuel Haney, William Sexton, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau:
Differentially Private Algorithms for 2020 Census Detailed DHC Race \& Ethnicity. - Rini Jasmine Gladstone, Mohammad Amin Nabian, Vahid Keshavarzzadeh, Hadi Meidani:
Robust Topology Optimization Using Variational Autoencoders. - Sivaramakrishnan Sankarapandian, Brian Kulis:
$β$-Annealed Variational Autoencoder for glitches. - Ali Almalki, Pawel Wocjan:
Accuracy analysis of Educational Data Mining using Feature Selection Algorithm. - Jan Mendling, Benoît Depaire, Henrik Leopold:
Theory and Practice of Algorithm Engineering. - Ben Saunders, Necati Cihan Camgöz, Richard Bowden:
AnonySIGN: Novel Human Appearance Synthesis for Sign Language Video Anonymisation. - Vikraman Arvind, Roman Nedela, Ilia Ponomarenko, Peter Zeman:
Testing isomorphism of chordal graphs of bounded leafage is fixed-parameter tractable. - Ahmad Kourani, Naseem A. Daher:
A Tethered Quadrotor UAV$-$Buoy System for Marine Locomotion. - Maria Trigka, Christos Mavrokefalidis, Kostas Berberidis:
A Distributed Sparse Channel Estimation Technique for mmWave Massive MIMO Systems. - Louis Mahon, Thomas Lukasiewicz:
Selective Pseudo-label Clustering. - Mark A. Graham, Ayalvadi J. Ganesh, Robert J. Piechocki:
Low latency allcast over broadcast erasure channels. - Chia-Ming Chang, Yi-Jheng Lin, Cheng-Shang Chang, Duan-Shin Lee:
On the Stability Regions of Coded Poisson Receivers with Multiple Classes of Users and Receivers. - Ahmad Kourani, Naseem A. Daher:
Leveraging PID Gain Selection Towards Adaptive Backstepping Control for a Class of Second-Order Systems. - Philippe Brouillard, Perouz Taslakian, Alexandre Lacoste, Sébastien Lachapelle, Alexandre Drouin:
Typing assumptions improve identification in causal discovery. - Alejandro Lancho, Giuseppe Durisi, Luca Sanguinetti:
Cell-free Massive MIMO with Short Packets. - Luis P. Silvestrin, Leonardos Pantiskas, Mark Hoogendoorn:
A Framework for Imbalanced Time-series Forecasting. - Iaroslav Okunevich, Daria Trinitatova, Pavel Kopanev, Dzmitry Tsetserukou:
DeltaCharger: Charging Robot with Inverted Delta Mechanism and CNN-driven High Fidelity Tactile Perception for Precise 3D Positioning. - Wanqing Xie, Lizhong Liang, Yao Lu, Hui Luo, Xiaofeng Liu:
Deep 3D-CNN for Depression Diagnosis with Facial Video Recording of Self-Rating Depression Scale Questionnaire. - Xavier Claeys, Muhammad Hassan, Benjamin Stamm:
Continuity estimates for Riesz potentials on polygonal boundaries. - Michael Timothy Bennett, Yoshihiro Maruyama:
Philosophical Specification of Empathetic Ethical Artificial Intelligence. - Lauro Langosco di Langosco, Vincent Fortuin, Heiko Strathmann:
Neural Variational Gradient Descent. - Fehim Köylü, Ahmed O. Ali, Mohamud M. Hassan, Muhiadin M. Sabriye, Abdirisak Ali Osman, Ali Ammar Hilal, Qazwan Abdullah:
Review of internet of things of security threats and Challenges. - Jiawen Li, Shiwen Ni, Hung-Yu Kao:
Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection. - Mohamed Elwekeil, Alessio Zappone, Stefano Buzzi:
Optimal Joint Beamforming and Power Control in Cell-Free Massive MIMO Downlink. - (Withdrawn) Semantic Text-to-Face GAN -ST^2FG.
- Janith C. Petangoda, Marc Peter Deisenroth, Nicholas A. M. Monk:
Learning to Transfer: A Foliated Theory. - Yuan Tian, Yichao Yan, Xiongkuo Min, Guo Lu, Guangtao Zhai, Guodong Guo, Zhiyong Gao:
EAN: Event Adaptive Network for Enhanced Action Recognition. - Vijay V. Vazirani:
Randomized Online Algorithms for Adwords. - Mohit Singhala, Jeremy D. Brown:
A novel testbed for investigating the impact of teleoperator dynamics on perceived environment dynamics. - Mohit Singhala, Jeremy D. Brown:
Towards an Understanding of the Role Operator Limb Dynamics Plays in Haptic Perception of Stiffness. - Kwanghoon Choi, James Cheney, Sam Lindley, Bob Reynders:
A Typed Slicing Compilation of the Polymorphic RPC Calculus. - Jaroslaw Blasiok, Peter Ivanov, Yaonan Jin, Chin Ho Lee, Rocco A. Servedio, Emanuele Viola:
Fourier growth of structured $\mathbb{F}_2$-polynomials and applications. - Eirik Endeve, Cory D. Hauck:
Conservative DG Method for the Micro-Macro Decomposition of the Vlasov-Poisson-Lenard-Bernstein Model. - Tam Nguyen, Raviv Raich:
Active Learning in Incomplete Label Multiple Instance Multiple Label Learning. - Mohit Singhala, Jeremy D. Brown:
A novel teleoperator testbed to understand the effects of master-slave dynamics on embodiment and kinesthetic perception. - Andra M. Voicu, Abhipshito Bhattacharya, Marina Petrova:
Towards Global and Limitless Connectivity: The Role of Private NGSO Satellite Constellations for Future Space-Terrestrial Networks. - Pranab Basu:
Equidistant Linear Codes in Projective Spaces. - Tom Kocmi, Christian Federmann, Roman Grundkiewicz, Marcin Junczys-Dowmunt, Hitokazu Matsushita, Arul Menezes:
To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation. - Joshua Brakensiek, Sivakanth Gopi, Visu Makam:
Lower Bounds for Maximally Recoverable Tensor Code and Higher Order MDS Codes. - Tuo Zhou, Shih-Yuan Yu, Matthew Michaels, Fangzhou Du, Lawrence Kulinsky, Mohammad Abdullah Al Faruque:
Establishing Digital Recognition and Identification of Microscopic Objects for Implementation of Artificial Intelligence (AI) Guided Microassembly. - Narmeen Shafqat, Daniel J. Dubois, David R. Choffnes, Aaron Schulman, Dinesh Bharadia, Aanjhan Ranganathan:
ZLeaks: Passive Inference Attacks on Zigbee based Smart Homes. - Ami Pandat, Nidhi Gupta, Minal Bhise:
Load Balanced Semantic Aware Distributed RDF Graph. - Joseph Singleton:
A Logic of Expertise. - Shilong Liu, Lei Zhang, Xiao Yang, Hang Su, Jun Zhu:
Query2Label: A Simple Transformer Way to Multi-Label Classification. - James P. Bagrow, Sune Lehmann:
Recovering lost and absent information in temporal networks. - Mohammad Javad Amiri, Boon Thau Loo, Divyakant Agrawal, Amr El Abbadi:
Qanaat: A Scalable Multi-Enterprise Permissioned Blockchain System with Confidentiality Guarantees. - Shangzhe Wu, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi:
DOVE: Learning Deformable 3D Objects by Watching Videos. - Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg:
Accelerating Quadratic Optimization with Reinforcement Learning. - Yuyang Deng, Mehrdad Mahdavi:
Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time. - Nate Strawn:
Filament Plots for Data Visualization. - Mark Bun, Marco Gaboardi, Satchit Sivakumar:
Multiclass versus Binary Differentially Private PAC Learning. - Zhuolin Yang, Linyi Li, Xiaojun Xu, Bhavya Kailkhura, Tao Xie, Bo Li:
On the Certified Robustness for Ensemble Models and Beyond. - Diya Sashidhar, J. Nathan Kutz:
Bagging, optimized dynamic mode decomposition (BOP-DMD) for robust, stable forecasting with spatial and temporal uncertainty-quantification. - Peter Y. Lu, Joan Ariño, Marin Soljacic:
Discovering Sparse Interpretable Dynamics from Partial Observations. - Andres Fernandez, Mark D. Plumbley:
Using UMAP to Inspect Audio Data for Unsupervised Anomaly Detection under Domain-Shift Conditions. - Cosimo Sguanci, Roberto Spatafora, Andrea Mario Vergani:
Layer 2 Blockchain Scaling: a Survey. - Kirill Karpov, Artem Mitrofanov, Vadim Korolev, Valery Tkachenko:
Size doesn't matter: predicting physico- or biochemical properties based on dozens of molecules. - Guanrui Li, Alex Tunchez, Giuseppe Loianno:
PCMPC: Perception-Constrained Model Predictive Control for Quadrotors with Suspended Loads using a Single Camera and IMU. - Michael Mommert, Linus Scheibenreif, Joëlle Hanna, Damian Borth:
Power Plant Classification from Remote Imaging with Deep Learning. - Max Coenen, Franz Rottensteiner:
Pose Estimation and 3D Reconstruction of Vehicles from Stereo-Images Using a Subcategory-Aware Shape Prior. - Elena Fuchs, Kristin E. Lauter, Matthew Litman, Austin Tran:
A Cryptographic Hash Function from Markoff Triples. - Zhaoyi Yang, Pengcheng An, Jinchen Yang, Samuel Strojny, Zihui Zhang, Dongsheng Sun, Jian Zhao:
Designing Mobile EEG Neurofeedback Games for Children with Autism: Implications from Industry Practice. - Mojtaba Mozaffar, Jian Cao:
Additive manufacturing process design with differentiable simulations. - Paolo Pedinotti, Giulia Rambelli, Emmanuele Chersoni, Enrico Santus, Alessandro Lenci, Philippe Blache:
Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge. - Xi Chen, Christian Kroer, Rachitesh Kumar:
Throttling Equilibria in Auction Markets. - Kshitij Bhatta, Majeed M. Hayat, Francesco Sorrentino:
Modal Decomposition of the Linear Swing Equation in Networks with Symmetries. - Xiaofeng Liu, Bo Hu, Linghao Jin, Xu Han, Fangxu Xing, Jinsong Ouyang, Jun Lu, Georges El Fakhri, Jonghye Woo:
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference. - Tim Lou, Michael Park, Mohammad Ramezanali, Vincent Tang:
FNetAR: Mixing Tokens with Autoregressive Fourier Transforms. - Cristian Anastasiu, Hanna Behnke, Sarah Lück, Viktor Malesevic, Aamna Najmi, Javier Poveda-Panter:
DeepTitle - Leveraging BERT to generate Search Engine Optimized Headlines. - Alen Arslanagic, Anda-Amelia Palamariuc, Jorge A. Pérez:
Minimal Session Types for the π-calculus (Extended Version). - Chandradeep Singh, Chia-Hsiang Lin:
Reconfigurable Intelligent Surfaces Aided Communication: Capacity and Performance Analysis Over Rician Fading Channel. - Jie Li, Vasileios Giotsas, Yangyang Wang, Shi Zhou:
BGP-Multipath Routing in the Internet. - Jonathan Stray, Ivan Vendrov, Jeremy Nixon, Steven Adler, Dylan Hadfield-Menell:
What are you optimizing for? Aligning Recommender Systems with Human Values. - Qinkai Chen, Christian-Yann Robert:
Graph-Based Learning for Stock Movement Prediction with Textual and Relational Data. - Nail A. Gumerov, Ramani Duraiswami:
Efficient Fast Multipole Accelerated Boundary Elements via Recursive Computation of Multipole Expansions of Integrals. - Clovis Eberhart, Akihisa Yamada, Stefan Klikovits, Shin-ya Katsumata, Tsutomu Kobayashi, Ichiro Hasuo, Fuyuki Ishikawa:
Architecture-Guided Test Resource Allocation Via Logic. - Henry J. Nelson, Nikolaos Papanikolopoulos:
Pre-Clustering Point Clouds of Crop Fields Using Scalable Methods. - Jacob J. Johnson, Michael C. Yip:
Chance-Constrained Motion Planning using Modeled Distance-to-Collision Functions. - Kunal Shah, Guillermo Angeris, Mac Schwager:
Reciprocal Multi-Robot Collision Avoidance with Asymmetric State Uncertainty. - Dylan Sandfelder, Priyesh Vijayan, William L. Hamilton:
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks. - Abhishek Kumar, Harikrishna Narasimhan, Andrew Cotter:
Implicit Rate-Constrained Optimization of Non-decomposable Objectives. - Andrey Zhmoginov, Dina Bashkirova, Mark Sandler:
Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks. - David DeFazio, Shiqi Zhang:
Learning Quadruped Locomotion Policies with Reward Machines. - Parshin Shojaee, Xiaoyu Chen, Ran Jin:
Adaptively Weighted Top-N Recommendation for Organ Matching. - Yiyang Zhou, Yuichi Takeda, Masayoshi Tomizuka, Wei Zhan:
Automatic Construction of Lane-level HD Maps for Urban Scenes. - Muhammad Asad, Ahmed Moustafa, Takayuki Ito:
Federated Learning Versus Classical Machine Learning: A Convergence Comparison. - Siyuan Yi, Xing Chen, Chuanming Tang:
Tsformer: Time series Transformer for tourism demand forecasting. - Nikolay Ivanov, Hanqing Guo, Qiben Yan:
Rectifying Administrated ERC20 Tokens. - Shitong Luo, Wei Hu:
Score-Based Point Cloud Denoising. - Kun Wu, Chengxiang Yin, Zhengping Che, Bo Jiang, Jian Tang, Zheng Guan, Gangyi Ding:
Human Pose Transfer with Disentangled Feature Consistency. - Anuj Dawar, Gregory Wilsenach:
Lower Bounds for Symmetric Circuits for the Determinant. - Patrick Diehl, Gregor Daiß, Dominic Marcello, Kevin A. Huck, Sagiv Shiber, Hartmut Kaiser, Juhan Frank, Dirk Pflüger:
Octo-Tiger's New Hydro Module and Performance Using HPX+CUDA on ORNL's Summit. - Thomas Browning, Patrick Lutz:
Formalizing Galois Theory. - Yufei Li, Simin Chen, Wei Yang:
Estimating Predictive Uncertainty Under Program Data Distribution Shift. - Libo Long, Jochen Lang:
Detail Preserving Residual Feature Pyramid Modules for Optical Flow. - Xu Liu, Xiaoya Zhang, Wei Peng, Weien Zhou, Wen Yao:
A novel meta-learning initialization method for physics-informed neural networks. - Roshan Sah, Prabin Sherpaili, Apurva Anand, Sandesh Hegde:
Design of the Propulsion System of Nano satellite: StudSat2. - Marcel Balle, Chengkai Zhu, Bin Zhang, Jie Wang, Lixin Ran:
A 60-GHz Radar Sensor for Micron-Scale Motion Detection. - Osama Shahid, Seyedamin Pouriyeh, Reza M. Parizi, Quan Z. Sheng, Gautam Srivastava, Liang Zhao:
Communication Efficiency in Federated Learning: Achievements and Challenges. - Touqeer Ahmad, Ebrahim Emami, Martin Cadík, George Bebis:
Resource Efficient Mountainous Skyline Extraction using Shallow Learning. - (Withdrawn) Pruning Ternary Quantization.
- Shengpu Tang, Jenna Wiens:
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings. - Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu:
Domain Adaptive Video Segmentation via Temporal Consistency Regularization. - Mehdi Mousavi, Rolando Estrada:
SuperCaustics: Real-time, open-source simulation of transparent objects for deep learning applications. - Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Samarth Mishra, Kate Saenko, Kuniaki Saito, Piotr Teterwak, Ben Usman:
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. - Zhendong Li, Wen Chen, Huanqing Cao:
Beamforming Design and Power Allocation for Transmissive RMS-based Transmitter Architectures. - Yang Wang, Zhen Gao, Jun Zhang, Xianbin Cao, Dezhi Zheng, Yue Gao, Derrick Wing Kwan Ng, Marco Di Renzo:
Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach. - Alexander Tekle, Chau Pham, Cornelia Caragea, Junyi Jessy Li:
When a crisis strikes: Emotion analysis and detection during COVID-19. - Ehsan Zobeidi, Nikolay Atanasov:
A Deep Signed Directional Distance Function for Object Shape Representation. - Yingchen Yu, Fangneng Zhan, Shijian Lu, Jianxiong Pan, Feiying Ma, Xuansong Xie, Chunyan Miao:
WaveFill: A Wavelet-based Generation Network for Image Inpainting. - Priyam Rajkhowa, Pradipta Biswas:
User Perception of Privacy with Ubiquitous Devices. - Yuan Zheng, Min Xu, Shining Wu, Shuaian Wang:
A Hybrid Vehicle Platoon for Connected and Automated Vehicles: Formulation, Stability Analysis, and Applications. - Cesare Magri:
On shared and multiple information. - Piotr Minakowski, Thomas Richter:
Error Estimates for Neural Network Solutions of Partial Differential Equations. - Ransalu Senanayake, Kyle Beltran Hatch, Jason Zheng, Mykel J. Kochenderfer:
3D Radar Velocity Maps for Uncertain Dynamic Environments. - Junyeop Lee, Yoonsik Kim, Seonghyeon Kim, Moonbin Yim, Seung Shin, Gayoung Lee, Sungrae Park:
RewriteNet: Realistic Scene Text Image Generation via Editing Text in Real-world Image. - Manish Bhattarai:
Integrating Deep Learning and Augmented Reality to Enhance Situational Awareness in Firefighting Environments. - Enrique Fernández-Blanco, Carlos Fernandez-Lozano, Alejandro Pazos, Daniel Rivero:
Ensemble of Convolution Neural Networks on Heterogeneous Signals for Sleep Stage Scoring. - Sanghun Kim, SeungKyu Lee:
Unrealistic Feature Suppression for Generative Adversarial Networks. - Jae-Won Cho, Dong-Jin Kim, Yunjae Jung, In So Kweon:
MCDAL: Maximum Classifier Discrepancy for Active Learning. - Niklas Behringer, Dmitriy Leykekhman, Boris Vexler:
Fully discrete best approximation type estimates in $L^{\infty}(I;L^2(Ω)^d)$ for finite element discretizations of the transient Stokes equations. - Inkyu Shin, KwanYong Park, Sanghyun Woo, In So Kweon:
Unsupervised Domain Adaptation for Video Semantic Segmentation. - Guanting Chen, Johann Demetrio Gaebler, Matt Peng, Chunlin Sun, Yinyu Ye:
An Adaptive State Aggregation Algorithm for Markov Decision Processes. - Zhongqi Yue, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang:
Transporting Causal Mechanisms for Unsupervised Domain Adaptation. - Pinzhuo Tian, Yao Gao:
Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift. - Ronald Richman, Mario V. Wüthrich:
LocalGLMnet: interpretable deep learning for tabular data. - Shasha Mao, Guanghui Shi, Licheng Jiao, Shuiping Gou, Yangyang Li, Lin Xiong, Boxin Shi:
Label Distribution Amendment with Emotional Semantic Correlations for Facial Expression Recognition. - Pierre-Amaury Grumiaux, Srdan Kitic, Prerak Srivastava, Laurent Girin, Alexandre Guérin:
SALADnet: Self-Attentive multisource Localization in the Ambisonics Domain. - Sebastian D. Proell, Wolfgang A. Wall, Christoph Meier:
A simple yet consistent constitutive law and mortar-based layer coupling schemes for thermomechanical part-scale simulations of metal additive manufacturing processes. - Petia D. Koprinkova-Hristova:
Reservoir Computing Approach for Gray Images Segmentation. - José Manuel Navarro, Dario Rossi:
HURRA! Human readable router anomaly detection. - Yongxin Dong, Jianxin You, Yuehua Feng:
Remarks on lumping PageRank results of Ipsen and Selee. - Nicola Di Chiano, Riccardo Longo, Alessio Meneghetti, Giordano Santilli:
A survey on NIST PQ signatures. - Hailong Li, Naiyue Chen:
SNAC: An Unbiased Metric Evaluating Topology Recognize Ability of Network Alignment. - Patrik Puchert, Pedro Hermosilla, Tobias Ritschel, Timo Ropinski:
Data-driven deep density estimation. - Ricardo de Azambuja, Hassan Fouad, Giovanni Beltrame:
A Flexible Exoskeleton for Collision Resilience. - Mengya Xu, Mobarakol Islam, Chwee Ming Lim, Hongliang Ren:
Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation. - Fred Qin, Vivek Madan, Ujjwal Ratan, Zohar Karnin, Vishaal Kapoor, Parminder Bhatia, Taha A. Kass-Hout:
Improving Early Sepsis Prediction with Multi Modal Learning. - Anna Pia Lohfink, Simon D. Duque Antón, Heike Leitte, Christoph Garth:
Knowledge Rocks: Adding Knowledge Assistance to Visualization Systems. - Eoin Brophy, Zhengwei Wang, Qi She, Tomás Ward:
Generative adversarial networks in time series: A survey and taxonomy. - Benjamin Marais, Tony Quertier, Christophe Chesneau:
Malware Analysis with Artificial Intelligence and a Particular Attention on Results Interpretability. - Walter Boscheri, Giacomo Dimarco:
High order modal Discontinuous Galerkin Implicit-Explicit Runge Kutta and Linear Multistep schemes for the Boltzmann model on general polygonal meshes. - Ivan Kovacevic, Stjepan Gros, Ante Derek:
Automatically generating models of IT systems. - Binling Wang, Wenxuan Hu, Jing Li, Yiming Zhi, Zheng Li, Qingyang Hong, Lin Li, Dong Wang, Liming Song, Cheng Yang:
OLR 2021 Challenge: Datasets, Rules and Baselines. - Advait Lonkar, Sarthak Khoche, Shrisha Rao:
Bio-inspired Rhythmic Locomotion in a Six-Legged Robot. - Lijie Hu, Shuo Ni, Hanshen Xiao, Di Wang:
High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data. - Christian Berger, Hans P. Reiser, Alysson Bessani:
Making Reads in BFT State Machine Replication Fast, Linearizable, and Live. - Isabella Kreller, Bernd Ludwig:
User Preferences and the Shortest Path. - Ivo Steinbrecher, Alexander Popp, Christoph Meier:
Consistent coupling of positions and rotations for embedding 1D Cosserat beams into 3D solid volumes. - Pegdwendé N. Sawadogo, Jérôme Darmont:
On data lake architectures and metadata management. - James C. R. Whittington, Rishabh Kabra, Loic Matthey, Christopher P. Burgess, Alexander Lerchner:
Constellation: Learning relational abstractions over objects for compositional imagination. - Andrzej Opala, Riccardo Panico, Vincenzo Ardizzone, Barbara Pietka, Jacek Szczytko, Daniele Sanvitto, Michal Matuszewski, Dario Ballarini:
Teaching a neural network with non-tunable exciton-polariton nodes. - Pengfei Liu, Sabine Loudcher, Jérôme Darmont, Camille Noûs:
ArchaeoDAL: A Data Lake for Archaeological Data Management and Analytics. - Alexander Popp, Ivo Steinbrecher:
Finite Element Formulations for Beam-to-Solid Interaction - From Embedded Fibers Towards Contact. - Mohammed Hassanin, Ibrahim Radwan, Salman H. Khan, Murat Tahtali:
Learning Discriminative Representations for Multi-Label Image Recognition. - Mariliza Tzes, Yiannis Kantaros, George J. Pappas:
Technical Report: Distributed Sampling-based Planning for Non-Myopic Active Information Gathering. - Yunlong Liang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Modeling Bilingual Conversational Characteristics for Neural Chat Translation. - J. S. Panman de Wit, J. van der Ham, Doina Bucur:
Dynamic detection of mobile malware using smartphone data and machine learning. - Lusine Abrahamyan, Valentin Ziatchin, Yiming Chen, Nikos Deligiannis:
Bias Loss for Mobile Neural Networks. - Jeffrey Mao, Guanrui Li, Stephen M. Nogar, Christopher M. Kroninger, Giuseppe Loianno:
Aggressive Visual Perching with Quadrotors on Inclined Surfaces. - Mohit Singhala, Jacob Carducci, Jeremy D. Brown:
Towards an understanding of how humans perceive stiffness during bimanual exploration. - Mohit Singhala, Jeremy D. Brown:
Investigating the effects of exploration dynamics on stiffness perception. - Mohit Singhala, Amy Chi, Maria Coleman, Jeremy D. Brown:
Preliminary investigation into how limb choice affects kinesthetic perception. - Huyen N. Nguyen, Jake Gonzalez, Jian Guo, Ngan V. T. Nguyen, Tommy Dang:
VisMCA: A Visual Analytics System for Misclassification Correction and Analysis. VAST Challenge 2020, Mini-Challenge 2 Award: Honorable Mention for Detailed Analysis of Patterns of Misclassification. - Yotam Nitzan, Rinon Gal, Ofir Brenner, Daniel Cohen-Or:
LARGE: Latent-Based Regression through GAN Semantics. - Hermann Baumgartl, Ricardo Buettner:
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks. - Napat Wanchaitanawong, Masayuki Tanaka, Takashi Shibata, Masatoshi Okutomi:
Multi-Modal Pedestrian Detection with Large Misalignment Based on Modal-Wise Regression and Multi-Modal IoU. - Mathieu Muniglia, Sébastien Vérel, Jean-Charles Le Pallec, Jean-Michel Do:
A Fitness Landscape View on the Tuning of an Asynchronous Master-Worker EA for Nuclear Reactor Design. - Dilara Acarali, Muttukrishnan Rajarajan, Doron Chema, Mark Ginzburg:
A Characterisation of Smart Grid DoS Attacks. - Subhamoy Maitra, Chandra Sekhar Mukherjee, Pantelimon Stanica, Deng Tang:
On Boolean Functions with Low Polynomial Degree and Higher Order Sensitivity. - Simon Burton:
Entropy, Derivation Operators and Huffman Trees. - Patrik Puchert, Timo Ropinski:
Human Pose Estimation from Sparse Inertial Measurements through Recurrent Graph Convolution. - Quandong Wang, Junnan Wu, Zhao Yan, Sichong Qian, Liyong Guo, Lichun Fan, Weiji Zhuang, Peng Gao, Yujun Wang:
Multi-channel Speech Enhancement with 2-D Convolutional Time-frequency Domain Features and a Pre-trained Acoustic Model. - Dhruv Jawali, Abhishek Kumar, Chandra Sekhar Seelamantula:
Wavelet Design in a Learning Framework. - Yaoqing Yang, Liam Hodgkinson, Ryan Theisen, Joe Zou, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney:
Taxonomizing local versus global structure in neural network loss landscapes. - Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Théophraste Henry, Marvin Lerousseau, Amaury Leroy, Guillaume Chassagnon, Marie-Pierre Revel, Nikos Paragios, Eric Deutsch:
Exploring Deep Registration Latent Spaces. - Fei Zhang, Chaochen Gu, Feng Yang:
An Improved Algorithm of Robot Path Planning in Complex Environment Based on Double DQN. - Yue Song, David J. Hill, Tao Liu:
Chance Constrained Economic Dispatch Considering the Capability of Network Flexibility Against Renewable Uncertainties. - Xuan Kan, Hejie Cui, Ying Guo, Carl Yang:
Effective and Interpretable fMRI Analysis via Functional Brain Network Generation. - Axel Marmoret, Nancy Bertin, Jérémy E. Cohen:
Multi-Channel Automatic Music Transcription Using Tensor Algebra. - Bingqian Lin, Yi Zhu, Yanxin Long, Xiaodan Liang, Qixiang Ye, Liang Lin:
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation. - Mohamed Abderrahmen Abid, Ihsen Hedhli, Jean-François Lalonde, Christian Gagné:
Image-to-Image Translation with Low Resolution Conditioning. - Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo:
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation. - Brian Hamilton:
Generating $N$-point spherical configurations with low mesh ratios using spherical area coordinates. - Jiacheng Wei, Guosheng Lin, Kim-Hui Yap, Fayao Liu, Tzu-Yi Hung:
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds. - Thomas Chaffey, Fulvio Forni, Rodolphe Sepulchre:
Graphical Nonlinear System Analysis. - Arif Nurwidyantoro, Mojtaba Shahin, Michel Chaudron, Waqar Hussain, Harsha Perera, Rifat Ara Shams, Jon Whittle:
Towards a Human Values Dashboard for Software Development: An Exploratory Study. - Ivan Fursov, Alexey Zaytsev, Pavel Burnyshev, Ekaterina Dmitrieva, Nikita Klyuchnikov, Andrey Kravchenko, Ekaterina Artemova, Evgeny Burnaev:
A Differentiable Language Model Adversarial Attack on Text Classifiers. - Kilian Hendrickx, Lorenzo Perini, Dries Van der Plas, Wannes Meert, Jesse Davis:
Machine Learning with a Reject Option: A survey. - Ruifei He, Jihan Yang, Xiaojuan Qi:
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation. - Serdar Erbatur, Ulrich Schöpp, Chuangjie Xu:
Type-based Enforcement of Infinitary Trace Properties for Java. - Simeon Ball, Pablo Puig:
The geometry of non-additive stabiliser codes. - Dmitri Kuzmin, Hennes Hajduk, Andreas Rupp:
Limiter-based entropy stabilization of semi-discrete and fully discrete schemes for nonlinear hyperbolic problems. - Valerii Serpiva, Ekaterina Karmanova, Aleksey Fedoseev, Stepan Perminov, Dzmitry Tsetserukou:
DronePaint: Swarm Light Painting with DNN-based Gesture Recognition. - Jiefeng Li, Siyuan Bian, Ailing Zeng, Can Wang, Bo Pang, Wentao Liu, Cewu Lu:
Human Pose Regression with Residual Log-likelihood Estimation. - Giuseppe Vecchio, Simone Palazzo, Concetto Spampinato:
SurfaceNet: Adversarial SVBRDF Estimation from a Single Image. - Wilfried Jakob:
Applying Evolutionary Algorithms Successfully: A Guide Gained from Real-world Applications. - Lukas Ewecker, Ebubekir Asan, Lars Ohnemus, Sascha Saralajew:
Provident Vehicle Detection at Night for Advanced Driver Assistance Systems. - Sandra Siby, Umar Iqbal, Steven Englehardt, Zubair Shafiq, Carmela Troncoso:
WebGraph: Capturing Advertising and Tracking Information Flows for Robust Blocking. - Ben Saunders, Necati Cihan Camgöz, Richard Bowden:
Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives. - Alexander Sundt, Qi Luo, John Vincent, Mehrdad Shahabi, Yafeng Yin:
Heuristics for Customer-focused Ride-pooling Assignment. - Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Xiaoxiang Zhu, Ce Zhang:
Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery. - Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Denis Helic, Markus Strohmaier, Roman Kern:
Structack: Structure-based Adversarial Attacks on Graph Neural Networks. - Orestis Alpos, Christian Cachin, Luca Zanolini:
How to Trust Strangers: Composition of Byzantine Quorum Systems. - Shaojie Tang:
Robust Adaptive Submodular Maximization. - Yun Chen, Ali Hajiabadi, Romain Poussier, Andreas Diavastos, Shivam Bhasin, Trevor E. Carlson:
Mitigating Power Attacks through Fine-Grained Instruction Reordering. - James Cheney, Wilmer Ricciotti:
Comprehending nulls. - Victor Croisfelt, Taufik Abrão, Abolfazl Amiri, Elisabeth de Carvalho, Petar Popovski:
Decentralized Design of Fast Iterative Receivers for Massive and Extreme-Large MIMO Systems. - Satya Narayan Shukla, Benjamin M. Marlin:
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series. - Kameron B. Rodrigues, Shweta Khushu, Mukut Mukherjee, Andrew Banister, Anthony Hevia, Sampath Duddu, Nikita Bhutani:
Powering Effective Climate Communication with a Climate Knowledge Base. - Edoardo Maria Ponti, Julia Kreutzer, Ivan Vulic, Siva Reddy:
Modelling Latent Translations for Cross-Lingual Transfer. - Zhipeng Luo, Zhongang Cai, Changqing Zhou, Gongjie Zhang, Haiyu Zhao, Shuai Yi, Shijian Lu, Hongsheng Li, Shanghang Zhang, Ziwei Liu:
Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency. - Lijun Zhang, Qizheng Yang, Xiao Liu, Hui Guan:
Rethinking Hard-Parameter Sharing in Multi-Task Learning. - Caitlyn M. McColeman, Fumeng Yang, Steven Franconeri, Timothy F. Brady:
Rethinking the Ranks of Visual Channels. - Thamir M. Qadah, Mohammad Sadoghi:
Highly Available Queue-oriented Speculative Transaction Processing. - Thibaut Barbet, Amine Nacer-Weill, Changtao Yang, Juste Raimbault:
An agent-based model for modal shift in public transport. - Ian E. Nielsen, Dimah Dera, Ghulam Rasool, Nidhal Bouaynaya, Ravi Prakash Ramachandran:
Robust Explainability: A Tutorial on Gradient-Based Attribution Methods for Deep Neural Networks. - Mario J. Bencomo, Jesse Chan:
Discrete adjoint computations for relaxation Runge-Kutta methods. - Arun Kumar Singh, Priyanka Singh, Karan Nathwani:
Using Deep Learning Techniques and Inferential Speech Statistics for AI Synthesised Speech Recognition. - Keren Gu, Xander Masotto, Vandana Bachani, Balaji Lakshminarayanan, Jack Nikodem, Dong Yin:
A Realistic Simulation Framework for Learning with Label Noise. - Lucas Rafael Stefanel Gris, Edresson Casanova, Frederico Santos de Oliveira, Anderson da Silva Soares, Arnaldo Cândido Júnior:
Brazilian Portuguese Speech Recognition Using Wav2vec 2.0. - Chung-Hsuan Hu, Zheng Chen, Erik G. Larsson:
Device Scheduling and Update Aggregation Policies for Asynchronous Federated Learning. - Tiago Mück, Bryan Donyanavard, Biswadip Maity, Kasra Moazzemi, Nikil D. Dutt:
MARS: Middleware for Adaptive Reflective Computer Systems. - Adilson Luiz Bonifácio, Arnaldo Vieira Moura:
Testing Pushdown Systems. - Alexander LeClair, Aakash Bansal, Collin McMillan:
Ensemble Models for Neural Source Code Summarization of Subroutines. - Afshin Ghassemi, Laura Soares, Hao Wang, Zhimin Xi:
A Novel Mathematical Model for Infrastructure Planning of Dynamic Wireless Power Transfer Systems for Electric Vehicles. - Rui Yuan, Robert M. Gower, Alessandro Lazaric:
A general sample complexity analysis of vanilla policy gradient. - Jingxiao Liu, Susu Xu, Mario Bergés, Hae Young Noh:
HierMUD: Hierarchical Multi-task Unsupervised Domain Adaptation between Bridges for Drive-by Damage Diagnosis. - Guillermo Baltra, John S. Heidemann:
What Is The Internet? (Considering Partial Connectivity). - Jimmy Moore, Pascal Goffin, Jason Wiese, Miriah Meyer:
An interview method for engagement with personal sensor data. - Lucas Liebenwein, Alaa Maalouf, Oren Gal, Dan Feldman, Daniela Rus:
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition. - Jiabo Huang, Yang Liu, Shaogang Gong, Hailin Jin:
Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation. - Iou-Jen Liu, Unnat Jain, Raymond A. Yeh, Alexander G. Schwing:
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning. - Klas Leino, Aymeric Fromherz, Ravi Mangal, Matt Fredrikson, Bryan Parno, Corina S. Pasareanu:
Self-Repairing Neural Networks: Provable Safety for Deep Networks via Dynamic Repair. - Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande:
Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts? - Jessica Díaz, Jorge Enrique Pérez-Martínez, Carolina Gallardo, Ángel González-Prieto:
Applying Inter-rater Reliability and Agreement in Grounded Theory Studies in Software Engineering. - Jon Nordby, Fabian Nemazi, Dag Rieber:
Automatic Detection Of Noise Events at Shooting Range Using Machine Learning. - Teeratorn Kadeethum, Francesco Ballarin, Youngsoo Choi, Daniel O'Malley, Hongkyu Yoon, Nikolaos Bouklas:
Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques. - Alexander Botros, Stephen L. Smith:
Multi-Start n-Dimensional Lattice Planning with Optimal Motion Primitives. - Katy Blumer, Subhashini Venugopalan, Michael P. Brenner, Jon M. Kleinberg:
Using a Cross-Task Grid of Linear Probes to Interpret CNN Model Predictions On Retinal Images. - Yunze Man, Xinshuo Weng, Prasanna Kumar Sivakumar, Matthew O'Toole, Kris Kitani:
Multi-Echo LiDAR for 3D Object Detection. - Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu:
Free Hyperbolic Neural Networks with Limited Radii. - Ali Farsiabi, Amir H. Banihashemi:
Error Floor Analysis of LDPC Column Layered Decoders. - Sougata Saha, Souvik Das, Rohini K. Srihari:
Similarity Based Label Smoothing For Dialogue Generation. - Praveen Tirupattur, Aayush Jung Rana, Tushar Sangam, Shruti Vyas, Yogesh S. Rawat, Mubarak Shah:
TinyAction Challenge: Recognizing Real-world Low-resolution Activities in Videos. - Bahador Bahmani, WaiChing Sun:
Training multi-objective/multi-task collocation physics-informed neural network with student/teachers transfer learnings. - Biswadeep Chakraborty, Saibal Mukhopadhyay:
$μ$DARTS: Model Uncertainty-Aware Differentiable Architecture Search. - Manaswin Oddiraju, Amir Behjat, Mostafa Nouh, Souma Chowdhury:
Efficient Inverse Design of 2D Elastic Metamaterial Systems Using Invertible Neural Networks. - Rachel Brown, Vasha DuTell, Bruce Walter, Ruth Rosenholtz, Peter Shirley, Morgan McGuire, David Luebke:
Efficient Dataflow Modeling of Peripheral Encoding in the Human Visual System. - William C. Sleeman IV, Bartosz Krawczyk:
Imbalanced Big Data Oversampling: Taxonomy, Algorithms, Software, Guidelines and Future Directions. - Jongseok Kim, Youngjae Yu, Seunghwan Lee, Gunhee Kim:
Cycled Compositional Learning between Images and Text. - Xueke Zheng, Runze Cai, Shuixin Xiao, Yu Qiu, Jun Zhang, Mian Li:
Primary-Auxiliary Model Scheduling Based Estimation of the Vertical Wheel Force in a Full Vehicle System. - Li Yang, Abdallah Moubayed, Abdallah Shami, Parisa Heidari, Amine Boukhtouta, Adel Larabi, Richard Brunner, Stere Preda, Daniel Migault:
Multi-Perspective Content Delivery Networks Security Framework Using Optimized Unsupervised Anomaly Detection. - Aditya Narayan, Yvain Thonnart, Pascal Vivet, Ayse K. Coskun, Ajay Joshi:
Architecting Optically-Controlled Phase Change Memory. - Qian Yu, Lei Qi, Luping Zhou, Lei Wang, Yilong Yin, Yinghuan Shi, Wuzhang Wang, Yang Gao:
Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal Convolutions. - Weishu Liu:
Caveats for the use of Web of Science Core Collection in old literature retrieval and historical bibliometric analysis. - Xiujun Shu, Ge Li, Xiao Wang, Weijian Ruan, Qi Tian:
Semantic-guided Pixel Sampling for Cloth-Changing Person Re-identification. - Menachem Sadigurschi, Uri Stemmer:
On the Sample Complexity of Privately Learning Axis-Aligned Rectangles. - Xi Chen, Anindya De, Chin Ho Lee, Rocco A. Servedio, Sandip Sinha:
Near-Optimal Average-Case Approximate Trace Reconstruction from Few Traces. - Ayush Garg, Sammed S. Kagi, Vivek Srivastava, Mayank Singh:
MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation. - Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang:
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis. - Awais Tanveer, Roopak Sinha, Matthew M. Y. Kuo:
Secure Links: Secure-by-Design Communications in IEC 61499 Industrial Control Applications. - Bingbing Rao, Liqiang Wang:
A Survey of Semantics-Aware Performance Optimization for Data-Intensive Computing. - Guillermo Oyarzun, Daniel Mira, Guillaume Houzeaux:
Performance assessment of CUDA and OpenACC in large scale combustion simulations. - Nikunj Raghuvanshi:
Dynamic Portal Occlusion for Precomputed Interactive Sound Propagation. - Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh:
Going Deeper into Semi-supervised Person Re-identification. - Liang Ding, Di Wu, Dacheng Tao:
The USYD-JD Speech Translation System for IWSLT 2021. - Jingjing Jiang, Ziyi Liu, Yifan Liu, Zhixiong Nan, Nanning Zheng:
X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering. - Jonas-Dario Troles, Ute Schmid:
Extending Challenge Sets to Uncover Gender Bias in Machine Translation: Impact of Stereotypical Verbs and Adjectives. - Rupak Bose, Shivam Pande, Biplab Banerjee:
Two Headed Dragons: Multimodal Fusion and Cross Modal Transactions. - Balázs Kégl, Gabriel Hurtado, Albert Thomas:
Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose? - Maojun Zhang, Guangxu Zhu, Shuai Wang, Jiamo Jiang, Caijun Zhong, Shuguang Cui:
Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling. - Suyash Gupta, Mohammad Sadoghi:
Blockchain Transaction Processing. - Omar Al-Harbi:
Negation Handling in Machine Learning-Based Sentiment Classification for Colloquial Arabic. - Zhenguang Liu, Peng Qian, Xiaoyang Wang, Yuan Zhuang, Lin Qiu, Xun Wang:
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection. - Hui Zhang, Cuiling Fan, Sihem Mesnager:
New constructions of $q$-Ary 2-D Z-Complementary Array Pairs. - Tian Lin, Xianghao Yu, Yu Zhu, Robert Schober:
Channel Estimation for IRS-Assisted Millimeter-Wave MIMO Systems: Sparsity-Inspired Approaches. - Michael Fruth, Stefanie Scherzinger, Wolfgang Mauerer, Ralf Ramsauer:
Tell-Tale Tail Latencies: Pitfalls and Perils in Database Benchmarking. - Umberto Michelucci, Michela Sperti, Dario Piga, Francesca Venturini, Marco Agostino Deriu:
A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification. - Abbas Ghaddar, Philippe Langlais, Ahmad Rashid, Mehdi Rezagholizadeh:
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition. - Dario A. Bini, Guy Latouche, Beatrice Meini:
Numerical solution of a matrix integral equation arising in Markov Modulated Lévy processes. - Zi-Rong Jin, Liang-Jian Deng, Tai-Xiang Jiang, Tian-Jing Zhang:
LAConv: Local Adaptive Convolution for Image Fusion. - Dun Zeng, Siqi Liang, Xiangjing Hu, Zenglin Xu:
FedLab: A Flexible Federated Learning Framework. - Naresh Goud Boddu, Rahul Jain, Han-Hsuan Lin:
On relating one-way classical and quantum communication complexities. - Alexandra Lindt, Emiel Hoogeboom:
Discrete Denoising Flows. - Son Duy Dao, Ethan Zhao, Dinh Phung, Jianfei Cai:
Multi-Label Image Classification with Contrastive Learning. - Brian Yan, Siddharth Dalmia, David R. Mortensen, Florian Metze, Shinji Watanabe:
Differentiable Allophone Graphs for Language-Universal Speech Recognition. - Yi Zhang, Fang-Yi Chao, Ge-Peng Ji, Deng-Ping Fan, Lu Zhang, Ling Shao:
ASOD60K: Audio-Induced Salient Object Detection in Panoramic Videos. - Florian Tramèr:
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them. - Rifat Ara Proma, Matthew Sumpter, Humberto Lugo, Elizabeth Friedman, Khandaker Tasnim Huq, Paul Rosen:
CleanAirNowKC: Building Community Power by Improving Data Accessibility. - Kien Do, Truyen Tran, Svetha Venkatesh:
Clustering by Maximizing Mutual Information Across Views. - Tanguy Gernot, Patrick Lacharme:
Biometric Masterkeys. - Allan Wang, Christoforos I. Mavrogiannis, Aaron Steinfeld:
Group-based Motion Prediction for Navigation in Crowded Environments. - Yuan Tian, Guo Lu, Xiongkuo Min, Zhaohui Che, Guangtao Zhai, Guodong Guo, Zhiyong Gao:
Self-Conditioned Probabilistic Learning of Video Rescaling. - Mohamed Shehata, Mohamed Taha Abou-Kreisha, Hany Elnashar:
Deep Machine Learning Based Egyptian Vehicle License Plate Recognition Systems. - Maryam Habibpour, Hassan Gharoun, AmirReza Tajally, Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Abbas Khosravi, Saeid Nahavandi:
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products. - Domitilla Brandoni, Margherita Porcelli, Valeria Simoncini:
A Tensor-Train Dictionary Learning algorithm based on Spectral Proximal Alternating Linearized Minimization. - Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu:
Hand Image Understanding via Deep Multi-Task Learning. - Bo Li, Minming Li, Ruilong Zhang:
Fair Allocation with Interval Scheduling Constraints. - Vladimir Araujo, Andrés Carvallo, Carlos Aspillaga, Camilo Thorne, Denis Parra:
Stress Test Evaluation of Biomedical Word Embeddings. - Nikolaos Dionelis:
Tail of Distribution GAN (TailGAN): Generative- Adversarial-Network-Based Boundary Formation. - Jingqing Zhang, Luis Bolanos, Ashwani Tanwar, Albert Sokol, Julia Ive, Vibhor Gupta, Yike Guo:
Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases. - Hao Zhu, Piotr Koniusz:
Graph Convolutional Network with Generalized Factorized Bilinear Aggregation. - Liren Yang, Necmiye Ozay:
Synthesis-guided Adversarial Scenario Generation for Gray-box Feedback Control Systems with Sensing Imperfections. - Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Rank & Sort Loss for Object Detection and Instance Segmentation. - Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Huaiyu Dai:
Adversarial training may be a double-edged sword. - Hanchen Ye, Cong Hao, Jianyi Cheng, Hyunmin Jeong, Jack Huang, Stephen Neuendorffer, Deming Chen:
ScaleHLS: Scalable High-Level Synthesis through MLIR. - Lorenzo Gheri, Andrei Popescu:
Case Studies in Formal Reasoning About Lambda-Calculus: Semantics, Church-Rosser, Standardization and HOAS. - Ondrej Biza, Elise van der Pol, Thomas Kipf:
The Impact of Negative Sampling on Contrastive Structured World Models. - Jafar Pourbemany, Ye Zhu, Riccardo Bettati:
Breath to Pair (B2P): Respiration-Based Pairing Protocol for Wearable Devices. - Zhaowei Xu, Mingsheng Ying, Benoît Valiron:
Reasoning about Recursive Quantum Programs. - Jafar Pourbemany, Ye Zhu, Riccardo Bettati:
A Survey of Wearable Devices Pairing Based on Biometric Signals. - Hridoy Sankar Dutta, Kartik Aggarwal, Tanmoy Chakraborty:
DECIFE: Detecting Collusive Users Involved in Blackmarket Following Services on Twitter. - Min-Jhe Lu, Wenrui Hao, Chun Liu, John S. Lowengrub, Shuwang Li:
Nonlinear simulation of vascular tumor growth with chemotaxis and the control of necrosis. - Tri Duc Tran, Anh Khoa Lanh Luu, Van Tu Duong, Huy Hung Nguyen, Tan Tien Nguyen:
One-Leg Stance of Humanoid Robot using Active Balance Control. - Nasib Ullah, Partha Pratim Mohanta:
Boosting Video Captioning with Dynamic Loss Network. - Bo Yu, Ning Dong:
Large-Scale Algebraic Riccati Equations with High-Rank Nonlinear Terms and Constant Terms. - Qing Yang, Jian Song, Chang Cheng, Chao Shi, Chendi Liang, Yu Wang:
An Internal Arc Fixation Channel and Automatic Planning Algorithm for Pelvic Fracture. - Man Yao, Huanhuan Gao, Guangshe Zhao, Dingheng Wang, Yihan Lin, Zhao-Xu Yang, Guoqi Li:
Temporal-wise Attention Spiking Neural Networks for Event Streams Classification. - Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy, Vedant Raval, N. V. Vinodchandran:
Efficient inference of interventional distributions. - Chandrajit Bajaj, Avik Roy, Haoran Zhang:
Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning. - Sergey V. Lototsky, Remigijus Mikulevicius, Boris L. Rozovsky:
Intrusive and Non-Intrusive Polynomial Chaos Approximations for a Two-Dimensional Steady State Navier-Stokes System with Random Forcing. - Qiang Meng, Xiaqing Xu, Xiaobo Wang, Yang Qian, Yunxiao Qin, Zezheng Wang, Chenxu Zhao, Feng Zhou, Zhen Lei:
PoseFace: Pose-Invariant Features and Pose-Adaptive Loss for Face Recognition. - David D. Fan, Ali-akbar Agha-mohammadi, Evangelos A. Theodorou:
Learning Risk-aware Costmaps for Traversability in Challenging Environments. - Fengjiao Li, Jia Liu, Bo Ji:
Federated Learning with Fair Worker Selection: A Multi-Round Submodular Maximization Approach. - Gopika R, Ankita Sharma, Rakesh R. Warier:
Bipartite Consensus in the Presence of Denial of Service Adversary. - Ruoxuan Xiong, Allison Koenecke, Michael A. Powell, Zhu Shen, Joshua T. Vogelstein, Susan Athey:
Federated Causal Inference in Heterogeneous Observational Data. - Howard H. Yang, Zihan Chen, Tony Q. S. Quek, H. Vincent Poor:
Revisiting Analog Over-the-Air Machine Learning: The Blessing and Curse of Interference. - Yeli Feng, Arvind Easwaran:
WiP Abstract : Robust Out-of-distribution Motion Detection and Localization in Autonomous CPS. - Abdul Aziz Momin, Nikhil Shende, Abhijna Anamtatmakula, Emily Ganguly, Ashwin Gurbani, Chaitanya A. Joshi, Yogesh Y. Mahajan:
Mathematical Modeling of Heat Conduction. - Xuesong Cai, István Z. Kovács, Jeroen Wigard, Rafhael M. de Amorim, Fredrik Tufvesson, Preben E. Mogensen:
On the Scheduling and Power Control for Uplink Cellular-Connected UAV Communications. - Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie:
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. - Yeli Feng, Daniel Jun Xian Ng, Arvind Easwaran:
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications. - Kevin Roitero, Michael Soprano, Beatrice Portelli, Massimiliano De Luise, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini:
Can the Crowd Judge Truthfulness? A Longitudinal Study on Recent Misinformation about COVID-19. - Yuqian Fu, Yanwei Fu, Yu-Gang Jiang:
Can Action be Imitated? Learn to Reconstruct and Transfer Human Dynamics from Videos. - Lukas Stappen, Lea Schumann, Benjamin Sertolli, Alice Baird, Benjamin Weigel, Erik Cambria, Björn W. Schuller:
MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox. - Tianyang Zhang, Xiangrong Zhang, Peng Zhu, Xu Tang, Chen Li, Licheng Jiao, Huiyu Zhou:
Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images. - Haoyi Niu, Jianming Hu, Zheyu Cui, Yi Zhang:
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning. - Tong Han, David J. Hill:
Dispatch of Virtual Inertia and Damping: Numerical Method with SDP and ADMM. - Lingfei Jin, Liming Ma, Chaoping Xing:
Binary sequences with low correlation via cyclotomic function fields. - Linhao Zhang, Yu Shi, Linjun Shou, Ming Gong, Houfeng Wang, Michael Zeng:
A Joint and Domain-Adaptive Approach to Spoken Language Understanding. - Tsung-Han Wu, Yueh-Cheng Liu, Yu-Kai Huang, Hsin-Ying Lee, Hung-Ting Su, Ping-Chia Huang, Winston H. Hsu:
ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. - Ziyin Liu, Botao Li, Masahito Ueda:
SGD May Never Escape Saddle Points. - Yujie Tang, Liang Hu, Qingrui Zhang, Wei Pan:
Reinforcement Learning Compensated Extended Kalman Filter for Attitude Estimation. - Linhao Zhang, Houfeng Wang:
Learn to Focus: Hierarchical Dynamic Copy Network for Dialogue State Tracking. - Linhao Zhang, Houfeng Wang:
Towards Controlled and Diverse Generation of Article Comments. - Tapani Toivonen:
Power of human-algorithm collaboration in solving combinatorial optimization problems. - Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel, Dan Xu:
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation. - Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui:
ROD: Reception-aware Online Distillation for Sparse Graphs. - Haide Wang, Ji Zhou, Jinlong Wei, Dong Guo, Yuanhua Feng, Weiping Liu, Changyuan Yu, Dawei Wang, Zhaohui Li:
Multi-Rate Nyquist-SCM for C-Band 100Gbit/s Signal over 50km Dispersion-Uncompensated Link. - P. Preethi, Hrishikesh Viswanath:
Character Spotting Using Machine Learning Techniques. - Pengwen Dai, Xiaochun Cao:
Comprehensive Studies for Arbitrary-shape Scene Text Detection. - P. Preethi, Hrishikesh Viswanath:
Denoising and Segmentation of Epigraphical Scripts. - Yashar Deldjoo, Markus Schedl, Peter Knees:
Content-driven Music Recommendation: Evolution, State of the Art, and Challenges. - Dror Aiger, Simon Lynen, Jan Hosang, Bernhard Zeisl:
Efficient Large Scale Inlier Voting for Geometric Vision Problems. - Ryoya Ogishima, Izumi Karino, Yasuo Kuniyoshi:
Reinforced Imitation Learning by Free Energy Principle. - Hanxi Lin, Xinxiao Wu, Jiebo Luo:
Adaptive Recursive Circle Framework for Fine-grained Action Recognition. - Charles Brossollet, Alessandro Cappelli, Igor Carron, Charidimos Chaintoutis, Amélie Chatelain, Laurent Daudet, Sylvain Gigan, Daniel Hesslow, Florent Krzakala, Julien Launay, Safa Mokaadi, Fabien Moreau, Kilian Müller, Ruben Ohana, Gustave Pariente, Iacopo Poli, Giuseppe Luca Tommasone:
LightOn Optical Processing Unit: Scaling-up AI and HPC with a Non von Neumann co-processor. - Fuzhao Xue, Ziji Shi, Futao Wei, Yuxuan Lou, Yong Liu, Yang You:
Go Wider Instead of Deeper. - Thasin Abedin, Khondokar S. S. Prottoy, Ayana Moshruba, Safayat Bin Hakim:
Bangla sign language recognition using concatenated BdSL network. - Jay Nandy, Wynne Hsu, Mong-Li Lee:
Distributional Shifts in Automated Diabetic Retinopathy Screening. - Bohong Wu, Zhuosheng Zhang, Hai Zhao:
Graph-free Multi-hop Reading Comprehension: A Select-to-Guide Strategy. - Victor Magron, Mohab Safey El Din, Trung Hieu Vu:
Sum of Squares Decompositions of Polynomials over their Gradient Ideals with Rational Coefficients. - Laurens Versluis, Mehmet Çetin, Caspar Greeven, Kristian Laursen, Damian Podareanu, Valeriu Codreanu, Alexandru Uta, Alexandru Iosup:
A Holistic Analysis of Datacenter Operations: Resource Usage, Energy, and Workload Characterization - Extended Technical Report. - Vinay Kulkarni, Radhakrishnan Vadakkethil:
Cough Detection from Acoustic signals for patient monitoring system. - Bolun Dai:
Adaptive Identification of Legged Robotic Kinematic Structure. - Ali Farjami:
New Algebraic Normative Theories for Ethical and Legal Reasoning in the LogiKEy Framework. - Albert Cheu:
Differential Privacy in the Shuffle Model: A Survey of Separations. - Zhixiong Chen, Ana-Isabel Gómez, Domingo Gómez-Pérez, Andrew Z. Tirkel:
Correlation, Linear Complexity, Maximum order Complexity on Families of binary Sequences. - Bernd Finkbeiner:
Model Checking Algorithms for Hyperproperties. - Ján Drgona, Aaron Tuor, Soumya Vasisht, Elliott Skomski, Draguna L. Vrabie:
Deep Learning Explicit Differentiable Predictive Control Laws for Buildings. - Susheel Kumar Joshi, Jagdish Chand Bansal:
A binary variant of gravitational search algorithm and its application to windfarm layout optimization problem. - Anchal Pandey, Sukumar Moharana, Debi Prasanna Mohanty, Archit Panwar, Dewang Agarwal, Siva Prasad Thota:
On-Device Content Moderation. - Noah Shutty, Mary Wootters:
Low-bandwidth recovery of linear functions of Reed-Solomon-encoded data. - Yu Xiong, Fabian Caba Heilbron, Dahua Lin:
Transcript to Video: Efficient Clip Sequencing from Texts. - Karl-Ludwig Besser, Eduard A. Jorswieck:
Reconfigurable Intelligent Surface Phase Hopping for Ultra-Reliable Communications. - Zilun Zhang, Shihao Ma, Yichun Zhang:
Will Multi-modal Data Improves Few-shot Learning? - Oscar Mendez Maldonado, Matthew J. Vowels, Richard Bowden:
Improving Robot Localisation by Ignoring Visual Distraction. - Pawan Negi, Prabhu Ramachandran:
Numerical Investigation of Accuracy, Convergence, and Conservation of Weakly-Compressible SPH. - Jan Brabec, Lukás Machlica:
Decision-forest voting scheme for classification of rare classes in network intrusion detection. - Frederik Schmitt, Christopher Hahn, Markus N. Rabe, Bernd Finkbeiner:
Neural Circuit Synthesis from Specification Patterns. - Daniel Halpern, Joseph Y. Halpern, Ali Jadbabaie, Elchanan Mossel, Ariel D. Procaccia, Manon Revel:
In Defense of Fluid Democracy. - Random Gwinn, Mark A. Matties, Aviel D. Rubin:
Wavelet Selection and Employment for Side-Channel Disassembly. - Brian Hamilton:
Adding air attenuation to simulated room impulse responses: A modal approach. - Abhishek Aich, Meng Zheng, Srikrishna Karanam, Terrence Chen, Amit K. Roy-Chowdhury, Ziyan Wu:
Spatio-Temporal Representation Factorization for Video-based Person Re-Identification. - Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas:
Hybrid Autoregressive Solver for Scalable Abductive Natural Language Inference. - Fereshteh Karimi, Reza Faghih Mirzaee, Ali Fakeri-Tabrizi, Arman Roohi:
Ultra-Fast, High-Performance 8x8 Approximate Multipliers by a New Multicolumn 3, 3: 2 Inexact Compressor and its Derivatives. - Jay Mardia:
Logspace Reducibility From Secret Leakage Planted Clique. - Lucie Charlotte Magister, Dmitry Kazhdan, Vikash Singh, Pietro Liò:
GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks. - Mengwu Guo:
A brief note on understanding neural networks as Gaussian processes. - Michelle L. Blom, Jurlind Budurushi, Ronald L. Rivest, Philip B. Stark, Peter J. Stuckey, Vanessa Teague, Damjan Vukcevic:
Assertion-based Approaches to Auditing Complex Elections, with application to party-list proportional elections. - Bo-Hsiang Tseng, Yinpei Dai, Florian Kreyssig, Bill Byrne:
Transferable Dialogue Systems and User Simulators. - Gonzalo Munilla Garrido, Johannes Sedlmeir, Ömer Uludag, Ilias Soto Alaoui, André Luckow, Florian Matthes:
Revealing the Landscape of Privacy-Enhancing Technologies in the Context of Data Markets for the IoT: A Systematic Literature Review. - Zhenhai Zhu, Radu Soricut:
H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for Sequences. - Manuel Costanzo, Enzo Rucci, Marcelo R. Naiouf, Armando De Giusti:
Performance vs Programming Effort between Rust and C on Multicore Architectures: Case Study in N-Body. - Pedro H. C. Avelar, Rafael Baldasso Audibert, Anderson R. Tavares, Luís C. Lamb:
Measuring Ethics in AI with AI: A Methodology and Dataset Construction. - Brendan Hertel, Seyed Reza Ahmadzadeh:
Learning from Successful and Failed Demonstrations via Optimization. - Zhanzhan Cheng, Jing Lu, Baorui Zou, Shuigeng Zhou, Fei Wu:
ICDAR 2021 Competition on Scene Video Text Spotting. - Zhenhua Xu, Yuxiang Sun, Lujia Wang, Ming Liu:
CP-loss: Connectivity-preserving Loss for Road Curb Detection in Autonomous Driving with Aerial Images. - Rujing Yao, Mengyang Li, Ou Wu:
Compensation Learning. - Stelios Triantafyllou, Adish Singla, Goran Radanovic:
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making. - Teruaki Hayashi, Takumi Shimizu, Yoshiaki Fukami:
Collaborative Problem Solving on a Data Platform Kaggle. - Philip Oliver, Michael Homer, Jens Dietrich, Craig Anslow:
A Partial Reproduction of A Guided Genetic Algorithm for Automated Crash Reproduction. - Lingwei Wei, Dou Hu, Wei Zhou, Zhaojuan Yue, Songlin Hu:
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection. - Wei Liao, Taotao Liang, Xiaohui Wei, Jizhou Lai:
Computation of Reachable Sets Based on Hamilton-Jacobi-Bellman Equation with Running Cost Function. - Bing Su, Ji-Rong Wen:
Log-Polar Space Convolution for Convolutional Neural Networks. - Andrea Asperti, Davide Evangelista, Moreno Marzolla:
Dissecting FLOPs along input dimensions for GreenAI cost estimations. - Xin-Chun Li, Le Gan, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song:
Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes. - Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song:
Preliminary Steps Towards Federated Sentiment Classification. - Fei Pan, Chunlei Xu, Jie Guo, Yanwen Guo:
Temporal Alignment Prediction for Few-Shot Video Classification. - Murtuza N. Shergadwala, Zhaoqing Teng, Magy Seif El-Nasr:
Can we infer player behavior tendencies from a player's decision-making data? Integrating Theory of Mind to Player Modeling. - Sinan Ariyurek, Elif Sürer, Aysu Betin-Can:
Playtesting: What is Beyond Personas. - Guilherme Matos, Fábio Luciano Verdi, Luis Miguel Contreras Murillo, Leandro C. de Almeida:
When SRv6 meets 5G Core: Implementation and Deployment of a Network Service Chaining Function in SmartNICs. - Tarique Siddiqui, Surajit Chaudhuri, Vivek R. Narasayya:
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics. - Wentian Zhao, Yao Hu, Heda Wang, Xinxiao Wu, Jiebo Luo:
Boosting Entity-aware Image Captioning with Multi-modal Knowledge Graph. - Liang Zeng, Lei Wang, Hui Niu, Jian Li, Ruchen Zhang, Zhonghao Dai, Dewei Zhu, Ling Wang:
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Adaptive Refined Labeling. - Fei Pan, Chunlei Xu, Jie Guo, Yanwen Guo:
Transductive Maximum Margin Classifier for Few-Shot Learning. - Akari Asai, Xinyan Yu, Jungo Kasai, Hannaneh Hajishirzi:
One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval. - Dimitris Fotakis, Panagiotis Patsilinakos:
Strategyproof Facility Location in Perturbation Stable Instances. - Yuqian Fu, Yanwei Fu, Yu-Gang Jiang:
Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data. - Gourav Datta, Souvik Kundu, Akhilesh R. Jaiswal, Peter A. Beerel:
HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification. - Shixuan Sun, Yuhang Chen, Shengliang Lu, Bingsheng He, Yuchen Li:
ThunderRW: An In-Memory Graph Random Walk Engine (Complete Version). - Yuki Koyama, Murilo M. Marinho, Mamoru Mitsuishi, Kanako Harada:
Autonomous Coordinated Control of the Light Guide for Positioning in Vitreoretinal Surgery. - Xian Zhao, Jiaming Zhang, Zhiyu Lin, Jitao Sang:
Benign Adversarial Attack: Tricking Algorithm for Goodness. - Yalong Bai, Mohan Zhou, Yuxiang Chen, Wei Zhang, Bowen Zhou, Tao Mei:
Augmentation Pathways Network for Visual Recognition. - Yue Jiao, Jonathon S. Hare, Adam Prügel-Bennett:
What Remains of Visual Semantic Embeddings. - Fan Lu, Guang Chen, Yinlong Liu, Lijun Zhang, Sanqing Qu, Shu Liu, Rongqi Gu:
HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration. - Yuya Ohmichi, Yosuke Sugioka, Kazuyuki Nakakita:
Stable Dynamic Mode Decomposition Algorithm for Noisy Pressure-Sensitive Paint Measurement Data. - Seyun Um, Jihyun Kim, Jihyun Lee, Sangshin Oh, Kyungguen Byun, Hong-Goo Kang:
Facetron: Multi-speaker Face-to-Speech Model based on Cross-modal Latent Representations. - Ming-Chih Lai, Che-Chia Chang, Wei-Syuan Lin, Wei-Fan Hu, Te-Sheng Lin:
A Shallow Ritz Method for elliptic problems with Singular Sources. - Jose Maureira, Juan E. Tapia, Claudia Arellano, Christoph Busch:
Synthetic Periocular Iris PAI from a Small Set of Near-Infrared-Images. - Dongwei Li, Shuliang Wang, Nan Gao, Qiang He, Yun Yang:
Cost-effective Land Cover Classification for Remote Sensing Images. - Taiki Yamae, Naoki Takeuchi, Nobuyuki Yoshikawa:
Adiabatic quantum-flux-parametron with delay-line clocking: logic gate demonstration and phase skipping operation. - Yue Jiao, Jonathon Hare, Adam Prügel-Bennett:
Language Models as Zero-shot Visual Semantic Learners. - Haibin Shao, Lulu Pan, Mehran Mesbahi, Yugeng Xi, Dewei Li:
Distributed Neighbor Selection in Multi-agent Networks. - Qingyun She, Zhiqiang Wang, Junlin Zhang:
Leaf-FM: A Learnable Feature Generation Factorization Machine for Click-Through Rate Prediction. - Zhiqiang Wang, Qingyun She, Pengtao Zhang, Junlin Zhang:
ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding. - Junming Duan, Huazhong Tang:
High-order accurate entropy stable adaptive moving mesh finite difference schemes for special relativistic (magneto)hydrodynamics. - Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia:
Parametric Contrastive Learning. - Dmitri Kovalenko, Artem Migukin, Svetlana Ryabkova, Vitaly Chernov:
Pluto: Motion Detection for Navigation in a VR Headset. - Daniel Aleksander Krause, Archontis Politis, Annamaria Mesaros:
Joint Direction and Proximity Classification of Overlapping Sound Events from Binaural Audio. - Dirk Alexander Molitor, Christian Kubik, Ruben Helmut Hetfleisch, Peter Groche:
Workpiece Image-based Tool Wear Classification in Blanking Processes Using Deep Convolutional Neural Networks. - Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette:
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review. - Xi Guan, Guang Yang, Jianming Ye, Weiji Yang, Xiaomei Xu, Weiwei Jiang, Xiaobo Lai:
3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation Framework. - Wei Liu, Li Chen, Wenyi Zhang:
Decentralized Federated Learning: Balancing Communication and Computing Costs. - Wiebke Toussaint, Aaron Yi Ding:
SVEva Fair: A Framework for Evaluating Fairness in Speaker Verification. - Alfred Laugros, Alice Caplier, Matthieu Ospici:
Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts. - Tomohiro Harada:
A Frequency-based Parent Selection for Reducing the Effect of Evaluation Time Bias in Asynchronous Parallel Multi-objective Evolutionary Algorithms. - Yuzhao Yang, Jérôme Darmont, Franck Ravat, Olivier Teste:
An Automatic Schema-Instance Approach for Merging Multidimensional Data Warehouses. - Peng Wu, Xiangteng He, Mingqian Tang, Yiliang Lv, Jing Liu:
HANet: Hierarchical Alignment Networks for Video-Text Retrieval. - Shaghayegh Roohi, Christian Guckelsberger, Asko Relas, Henri Heiskanen, Jari Takatalo, Perttu Hämäläinen:
Predicting Game Engagement and Difficulty Using AI Players. - Zikun Hu, Yixin Cao, Lifu Huang, Tat-Seng Chua:
How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction. - Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan:
Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs. - Hakan Gökcesu, Özgür Erçetin, Gökhan Kalem, Salih Ergüt:
Virtual Drive-Tests: A Case for Predicting QoE in Adaptive Video Streaming. - Dimitris Karakostas, Aggelos Kiayias:
Filling the Tax Gap via Programmable Money. - Jean-Philippe Cointet, Dominique Cardon, Andreï Mogoutov, Benjamin Ooghe-Tabanou, Guillaume Plique, Pedro Ramaciotti Morales:
Uncovering the structure of the French media ecosystem. - Angelo Alberto Casulli, Igor Simunec:
Computation of generalized matrix functions with rational Krylov methods. - Bettina Fazzinga, Andrea Galassi, Paolo Torroni:
An Argumentative Dialogue System for COVID-19 Vaccine Information. - Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yi-Zhe Song:
Towards the Unseen: Iterative Text Recognition by Distilling from Errors. - Zaid Abdullah, Steven Kisseleff, Konstantinos Ntontin, Wallace Alves Martins, Symeon Chatzinotas, Björn E. Ottersten:
Double-RIS Communication with DF Relaying for Coverage Extension: Is One Relay Enough? - Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao:
Learning to Adversarially Blur Visual Object Tracking. - Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Yi-Zhe Song:
Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillation. - Ondrej Prazák, Miloslav Konopík, Jakub Sido:
Multilingual Coreference Resolution with Harmonized Annotations. - Ayan Kumar Bhunia, Aneeshan Sain, Amandeep Kumar, Shuvozit Ghose, Pinaki Nath Chowdhury, Yi-Zhe Song:
Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition. - Constantinos G. Loukas, Athanasios Gazis, Dimitrios Schizas:
A Multiple-Instance Learning Approach for the Assessment of Gallbladder Vascularity from Laparoscopic Images. - Mengdi Li, Cornelius Weber, Matthias Kerzel, Jae Hee Lee, Zheni Zeng, Zhiyuan Liu, Stefan Wermter:
Robotic Occlusion Reasoning for Efficient Object Existence Prediction. - Yuedong Chen, Xu Yang, Tat-Jen Cham, Jianfei Cai:
Towards Unbiased Visual Emotion Recognition via Causal Intervention. - Lorenzo Cazzella, Dario Tagliaferri, Marouan Mizmizi, Matteo Matteucci, Damiano Badini, Christian Mazzucco, Umberto Spagnolini:
Position-agnostic Algebraic Estimation of 6G V2X MIMO Channels via Unsupervised Learning. - Christoph Gote, Vincenzo Perri, Ingo Scholtes:
Predicting Influential Higher-Order Patterns in Temporal Network Data. - J. van Hegelsom, Joanna M. van de Mortel-Fronczak, Lars Moormann, Dirk A. van Beek, Jacobus E. Rooda:
Development of a 3D Digital Twin of the Swalmen Tunnel in the Rijkswaterstaat Project. - Julian Henning, Davide Palitta, Valeria Simoncini, Karsten Urban:
Very Weak Space-Time Variational Formulation for the Wave Equation: Analysis and Efficient Numerical Solution. - Alessandro Antonucci, Alessandro Facchini, Lilith Mattei:
Structural Learning of Probabilistic Sentential Decision Diagrams under Partial Closed-World Assumption. - Gargi Singh, Dhanajit Brahma, Piyush Rai, Ashutosh Modi:
Fine-Grained Emotion Prediction by Modeling Emotion Definitions. - Tihana Galinac Grbac:
The Role of Functional Programming in Management and Orchestration of Virtualized Network Resources Part I. System structure for Complex Systems and Design Principles. - Abhinav Sagar:
AA3DNet: Attention Augmented Real Time 3D Object Detection. - Americo Cunha Jr., Jorge Luis Palacios Felix, José Manoel Balthazar:
Quantification of parametric uncertainties induced by irregular soil loading in orchard tower sprayer nonlinear dynamics. - Alara Zindancioglu, T. Metin Sezgin:
Perceptually Validated Precise Local Editing for Facial Action Units with StyleGAN. - Han Gao, Matthew J. Zahr, Jian-Xun Wang:
Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems. - Pranjal Jain, Shreyas Goenka, Saurabh Bagchi, Biplab Banerjee, Somali Chaterji:
Federated Action Recognition on Heterogeneous Embedded Devices. - R. Ildar:
Increasing FPS for single board computers and embedded computers in 2021 (Jetson nano and YOVOv4-tiny). Practice and review. - Ricardo Cardona Rivera, Francesco Lo Iudice, Antonio Grotta, Marco Coraggio, Mario di Bernardo:
Utilizing synchronization to partition power networks into microgrids. - Abdul Rafey Aftab, Michael von der Beeck, Steven Rohrhirsch, Benoit Diotte, Michael Feld:
Multimodal Fusion Using Deep Learning Applied to Driver's Referencing of Outside-Vehicle Objects. - Biao Yi, Hanzhou Wu, Guorui Feng, Xinpeng Zhang:
Exploiting Language Model for Efficient Linguistic Steganalysis: An Empirical Study. - Ania M. Piotrowska:
Studying the anonymity trilemma with a discrete-event mix network simulator. - Yi Shi, Yalin E. Sagduyu:
Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning. - Nidhika Yadav:
Novel Span Measure, Spanning Sets and Applications. - Jicong Fan, Yiheng Tu, Zhao Zhang, Mingbo Zhao:
EGGS: Eigen-Gap Guided Search Making Subspace Clustering Easy. - Hieu T. Ung, Quang Huy Ung, Binh T. Nguyen:
An Efficient Insect Pest Classification Using Multiple Convolutional Neural Network Based Models. - Lalli Myllyaho, Mikko Raatikainen, Tomi Männistö, Tommi Mikkonen, Jukka K. Nurminen:
Systematic Literature Review of Validation Methods for AI Systems. - Kai Xu, Angela Yao:
Efficient Video Object Segmentation with Compressed Video. - Muhammad Basit Umair, Zeshan Iqbal, Muhammad Bilal, Tarik Adnan Almohamad, Jamel Nebhen, Raja Majid Mehmood:
An Efficient Internet Traffic Classification System Using Deep Learning for IoT. - Elias Jarlebring, Massimiliano Fasi, Emil Ringh:
Computational graphs for matrix functions. - Zhenyu Wu, Zhaowen Wang, Ye Yuan, Jianming Zhang, Zhangyang Wang, Hailin Jin:
Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study. - Gongbo Tang, Philipp Rönchen, Rico Sennrich, Joakim Nivre:
Revisiting Negation in Neural Machine Translation. - Martin Marek:
Image-Based Parking Space Occupancy Classification: Dataset and Baseline. - Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi:
On The Impact of Client Sampling on Federated Learning Convergence. - Yuxin Chen, Ziqi Zhang, Chunfeng Yuan, Bing Li, Ying Deng, Weiming Hu:
Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition. - Lu Xu, Yew Ken Chia, Lidong Bing:
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction. - Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen:
Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment. - Syed Waqas Haider Shah, Muhammad Mahboob Ur Rahman, Adnan Noor Mian, Octavia A. Dobre, Jon Crowcroft:
Effective Capacity Analysis of HARQ-enabled D2D Communication in Multi-Tier Cellular Networks. - Jiaxi Huo, Ronghao Zheng, Meiqin Liu, Senlin Zhang:
Integer-Programming-Based Narrow-Passage Multi-Robot Path Planning with Effective Heuristics. - Hendrik Schuff, Heike Adel, Ngoc Thang Vu:
Thought Flow Nets: From Single Predictions to Trains of Model Thought. - Shir Aviv-Reuven, Ariel Rosenfeld:
Journal subject classification: intra- and inter-system discrepancies in Web Of Science and Scopus. - Lucas G. S. Jeub, Giovanni Colavizza, Xiaowen Dong, Marya Bazzi, Mihai Cucuringu:
Local2Global: Scaling global representation learning on graphs via local training. - Anastasia Malysheva, Alexey Tikhonov, Ivan P. Yamshchikov:
DYPLODOC: Dynamic Plots for Document Classification. - Tihana Galinac Grbac, Nikola Domazet:
The Role of Functional Programming in Management and Orchestration of Virtualized Network Resources Part II. Network Evolution and Design Principles. - Lorenzo Lucchini, Simone Centellegher, Luca Pappalardo, Riccardo Gallotti, Filippo Privitera, Bruno Lepri, Marco De Nadai:
Living in a pandemic: adaptation of individual mobility and social activity in the US. - Brecht Vandevoort, Bas Ketsman, Christoph Koch, Frank Neven:
Robustness against Read Committed for Transaction Templates. - Prince Steven Annor, Samuel Boateng, Edwin Pelpuo Kayang, George Boateng:
AutoGrad: Automated Grading Software for Mobile Game Assignments in SuaCode Courses. - Radovan Cervený, Pratibha Choudhary, Ondrej Suchý:
On Kernels for d-Path Vertex Cover. - Gayane Vardoyan, Matthew Skrzypczyk, Stephanie Wehner:
On the Quantum Performance Evaluation of Two Distributed Quantum Architectures. - Christian Henning, Francesco D'Angelo, Benjamin F. Grewe:
Are Bayesian neural networks intrinsically good at out-of-distribution detection? - Zhiliang Wu, Yinchong Yang, Peter A. Fasching, Volker Tresp:
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models. - Amanda Prorok, Jan Blumenkamp, Qingbiao Li, Ryan Kortvelesy, Zhe Liu, Ethan Stump:
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts. - George Boateng, Prince Steven Annor, Victor Wumbor-Apin Kumbol:
SuaCode Africa: Teaching Coding Online to Africans using Smartphones. - Chengcheng Han, Zeqiu Fan, Dongxiang Zhang, Minghui Qiu, Ming Gao, Aoying Zhou:
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification. - Haisen Zhao, Max Willsey, Amy Zhu, Chandrakana Nandi, Zachary Tatlock, Justin Solomon, Adriana Schulz:
Co-Optimization of Design and Fabrication Plans for Carpentry. - Alexandre Cooper, Stephanie Maaz, Amer E. Mouawad, Naomi Nishimura:
Parameterized complexity of reconfiguration of atoms. - Micah Beck, Terry Moore:
Universal Digital Services Through Basic Broadband. - Juncheng Li, Siliang Tang, Linchao Zhu, Haochen Shi, Xuanwen Huang, Fei Wu, Yi Yang, Yueting Zhuang:
Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference. - Wojciech Sirko, Sergii Kashubin, Marvin Ritter, Abigail Annkah, Yasser Salah Eddine Bouchareb, Yann N. Dauphin, Daniel Keysers, Maxim Neumann, Moustapha Cissé, John Quinn:
Continental-Scale Building Detection from High Resolution Satellite Imagery. - Yehao Li, Ting Yao, Yingwei Pan, Tao Mei:
Contextual Transformer Networks for Visual Recognition. - Peizhi Wu, Gao Cong:
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation. - Mohammad Almseidin, Jamil Al-Sawwa, Mouhammd Alkasassbeh:
Anomaly-based Intrusion Detection System Using Fuzzy Logic. - Iknoor Singh, Kalina Bontcheva, Carolina Scarton:
The False COVID-19 Narratives That Keep Being Debunked: A Spatiotemporal Analysis. - Guy Oren, Lior Wolf:
In Defense of the Learning Without Forgetting for Task Incremental Learning. - Zixuan Ni, Haizhou Shi, Siliang Tang, Yueting Zhuang:
Alleviate Representation Overlapping in Class Incremental Learning by Contrastive Class Concentration. - Yuren Cong, Wentong Liao, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Spatial-Temporal Transformer for Dynamic Scene Graph Generation. - Andrea Pecho-Ninapaytan, Stefany Zambrano-Zuta, Lizardo Vargas-Bianchi:
'No, auntie, that's false': Female baby boomers develop critical skills to confront fake news with guidance from relatives. - Zachary Eberhart, Collin McMillan:
Dialogue Management for Interactive API Search. - Anton Khritankov, Nikita Pershin, Nikita Ukhov, Artem Ukhov:
MLDev: Data Science Experiment Automation and Reproducibility Software. - Quyen Tran, Lam Tran, Linh Chu Hai, Ngo Van Linh, Khoat Than:
From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users. - Shih-Yuan Yu, Rozhin Yasaei, Qingrong Zhou, Tommy Nguyen, Mohammad Abdullah Al Faruque:
HW2VEC: A Graph Learning Tool for Automating Hardware Security. - William Falcon, Ananya Harsh Jha, Teddy Koker, Kyunghyun Cho:
AAVAE: Augmentation-Augmented Variational Autoencoders. - Trevor Steil, Tahsin Reza, Keita Iwabuchi, Benjamin W. Priest, Geoffrey Sanders, Roger Pearce:
TriPoll: Computing Surveys of Triangles in Massive-Scale Temporal Graphs with Metadata. - Italo Atzeni, Antti Tölli:
Uplink Data Detection Analysis of 1-Bit Quantized Massive MIMO. - Vitaly Aksenov:
Overview of Bachelors Theses 2021. - Alexander Tong, Guillaume Huguet, Dennis L. Shung, Amine Natik, Manik Kuchroo, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy:
Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance. - Karthik Garimella, Nandan Kumar Jha, Brandon Reagen:
Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep Learning. - Laurent Benaroya, Nicolas Obin, Axel Roebel:
Beyond Voice Identity Conversion: Manipulating Voice Attributes by Adversarial Learning of Structured Disentangled Representations. - Tiancheng Sun, Kai-En Lin, Sai Bi, Zexiang Xu, Ravi Ramamoorthi:
NeLF: Neural Light-transport Field for Portrait View Synthesis and Relighting. - Deepak Uniyal, Amit Agarwal:
IRLCov19: A Large COVID-19 Multilingual Twitter Dataset of Indian Regional Languages. - Sanja Scepanovic, Marios Constantinides, Daniele Quercia, Seunghyun Kim:
Pressure Test: Good Stress for Company Success. - Anindya De, Shivam Nadimpalli, Rocco A. Servedio:
Approximating Sumset Size. - Suichan Li, Dongdong Chen, Yinpeng Chen, Lu Yuan, Lei Zhang, Qi Chu, Bin Liu, Nenghai Yu:
Improve Unsupervised Pretraining for Few-label Transfer. - Sonia Cromp, Alireza Samadian, Kirk Pruhs:
Relational Boosted Regression Trees. - Gourav Datta, Souvik Kundu, Peter A. Beerel:
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding. - Thomas Humphries, Rasoul Akhavan Mahdavi, Shannon Veitch, Florian Kerschbaum:
Selective MPC: Distributed Computation of Differentially Private Key Value Statistics. - Marzieh Eskandari, Bhavika B. Khare, Nirman Kumar:
Red blue $k$-center clustering with distance constraints. - Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma:
Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent. - Miao Yin, Yang Sui, Siyu Liao, Bo Yuan:
Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework. - Chathura Widanage, Weijie Liu, Jiayu Li, Hongbo Chen, XiaoFeng Wang, Haixu Tang, Judy Fox:
HySec-Flow: Privacy-Preserving Genomic Computing with SGX-based Big-Data Analytics Framework. - Jonas Sorgalla, Philip Wizenty, Florian Rademacher, Sabine Sachweh, Albert Zündorf:
Applying Model-Driven Engineering to Stimulate the Adoption of DevOps Processes in Small and Medium-Sized Development Organizations. - Sunakshi Mehra, Seba Susan:
Improving Word Recognition in Speech Transcriptions by Decision-level Fusion of Stemming and Two-way Phoneme Pruning. - Pan Ji, Runze Li, Bir Bhanu, Yi Xu:
MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments. - José Suárez-Varela, Miquel Ferriol Galmés, Albert López, Paul Almasan, Guillermo Bernárdez, David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio:
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks. - Debesh Jha, Pia H. Smedsrud, Dag Johansen, Thomas de Lange, Håvard D. Johansen, Pål Halvorsen, Michael A. Riegler:
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation. - Jan Ittner, Lukasz Bolikowski, Konstantin Hemker, Ricardo Kennedy:
Feature Synergy, Redundancy, and Independence in Global Model Explanations using SHAP Vector Decomposition. - Raphael Lepuschitz, Niklas Stoehr:
SeismographAPI: Visualising Temporal-Spatial Crisis Data. - Souvik Kundu, Gourav Datta, Massoud Pedram, Peter A. Beerel:
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression. - Mostafa Safi, Seyed Mehran Dibaji:
Resilient Distributed Averaging. - Raz Paul, Yuval Friedman, Kobi Cohen:
Accelerated Gradient Descent Learning over Multiple Access Fading Channels. - Imad Aouali, Sergey Ivanov, Mike Gartrell, David Rohde, Flavian Vasile, Victor Zaytsev, Diego Legrand:
Combining Reward and Rank Signals for Slate Recommendation. - Danielle Rothermel, Margaret Li, Tim Rocktäschel, Jakob N. Foerster:
Don't Sweep your Learning Rate under the Rug: A Closer Look at Cross-modal Transfer of Pretrained Transformers. - Tapalina Banerjee, Sudip Poddar, Tsung-Yi Ho, Bhargab B. Bhattacharya:
Sample Preparation Meets Farey Sequence: A New Design Technique for Free-Flowing Microfluidic Networks. - Dmytro Perekrestenko, Léandre Eberhard, Helmut Bölcskei:
High-Dimensional Distribution Generation Through Deep Neural Networks. - Alberto Santamaría-Pang, Jianwei Qiu, Aritra Chowdhury, James Kubricht, Peter H. Tu, Naresh Iyer, Nurali Virani:
Adversarial Attacks with Time-Scale Representations. - Tristan Stérin, Damien Woods:
On the hardness of knowing busy beaver values BB(15) and BB(5, 4). - Nidhika Yadav:
Decision Making Using Rough Set based Spanning Sets for a Decision System. - Hongwu Zhu, Dong Wang, Ganyu Deng, Nathan Boyd, Ziyi Zhou, Lecheng Ruan, Caiming Sun, Aidong Zhang, Ning Ding, Ye Zhao, Jianwen Luo:
Terrain-perception-free Quadrupedal Spinning Locomotion on Versatile Terrains: Modeling, Analysis, and Experimental Validation. - Bahar Azari, Deniz Erdogmus:
Circular-Symmetric Correlation Layer based on FFT. - Bingchen Jin, Shusheng Ye, Juntong Su, Chaoyang Song, Ye Zhao, Aidong Zhang, Ning Ding, Jianwen Luo:
High-Payload Online Identification and Adaptive Control for an Electrically-actuated Quadruped Robot. - Piyush Subedi, Jianwei Hao, In Kee Kim, Lakshmish Ramaswamy:
AI Multi-Tenancy on Edge: Concurrent Deep Learning Model Executions and Dynamic Model Placements on Edge Devices. - Kamala Varma, Yi Zhou, Nathalie Baracaldo, Ali Anwar:
LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning. - Maxime Adjigble, Cristiana de Farias, Rustam Stolkin, Naresh Marturi:
SpectGRASP: Robotic Grasping by Spectral Correlation. - Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar:
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. - Thomas Maurer, Matthew Guzdial:
Adversarial Random Forest Classifier for Automated Game Design. - Emily Halina, Matthew Guzdial:
TaikoNation: Patterning-focused Chart Generation for Rhythm Action Games. - Byeongjoon Noh, Hansaem Park, Hwasoo Yeo:
Analyzing vehicle pedestrian interactions combining data cube structure and predictive collision risk estimation model. - Eduard Ramon, Gil Triginer, Janna Escur, Albert Pumarola, Jaime García, Xavier Giró-i-Nieto, Francesc Moreno-Noguer:
H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction. - Jesse Thomason, Mohit Shridhar, Yonatan Bisk, Chris Paxton, Luke Zettlemoyer:
Language Grounding with 3D Objects. - Daniil Pakhomov, Sanchit Hira, Narayani Wagle, Kemar E. Green, Nassir Navab:
Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP. - Abdallah Lakhdari, Athman Bouguettaya:
Proactive Composition of Mobile IoT Energy Services. - Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey. - Bowei Li, Ruohan Chen, Yuqing Xue, Ricky Wang, Wenwen Li, Matthew Guzdial:
Ensemble Learning For Mega Man Level Generation. - Liang Chen, Lesley Tan:
Physics-Enforced Modeling for Insertion Loss of Transmission Lines by Deep Neural Networks. - Yuesheng Xu, Haizhang Zhang:
Convergence of Deep ReLU Networks. - Kynan Sorochan, Jerry Chen, Yakun Yu, Matthew Guzdial:
Generating Lode Runner Levels by Learning Player Paths with LSTMs. - Zisen Zhou, Matthew Guzdial:
Toward Co-creative Dungeon Generation via Transfer Learning. - Jaewha Kim, Jae-Won Kim, Jong-Seon No:
On the Construction of Protograph-based Partially Doped GLDPC Codes. - Caetano Mazzoni Ranieri, Renan Cipriano Moioli, Patrícia A. Vargas, Roseli A. F. Romero:
A Neurorobotics Approach to Behaviour Selection based on Human Activity Recognition. - Qi Tang, Runmin Cong, Ronghui Sheng, Lingzhi He, Dan Zhang, Yao Zhao, Sam Kwong:
BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation. - Yawen Ouyang, Jiasheng Ye, Yu Chen, Xinyu Dai, Shujian Huang, Jiajun Chen:
Energy-based Unknown Intent Detection with Data Manipulation. - Pedro A. Tsividis, João Loula, Jake Burga, Nathan Foss, Andres Campero, Thomas Pouncy, Samuel J. Gershman, Joshua B. Tenenbaum:
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning. - Hang Shuai, Xiaomeng Ai, Jiakun Fang, Wei Yao, Jinyu Wen:
Double Deep Q-learning Based Real-Time Optimization Strategy for Microgrids. - Christopher R. Hoyt, Art B. Owen:
Probing neural networks with t-SNE, class-specific projections and a guided tour. - Haotian Li, Yong Wang, Songheng Zhang, Yangqiu Song, Huamin Qu:
KG4Vis: A Knowledge Graph-Based Approach for Visualization Recommendation. - Yilin Wen, Xiangyu Li, Hao Pan, Lei Yang, Zheng Wang, Taku Komura, Wenping Wang:
Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation. - Tomonori Kouya:
Accelerated Multiple Precision Direct Method and Mixed Precision Iterative Refinement on Python Programming Environment. - Jinchao Zhu, Xiaoyu Zhang, Xian Fang, Junnan Liu:
Perception-and-Regulation Network for Salient Object Detection. - Shifeng Pan, Lei He:
Cross-speaker Style Transfer with Prosody Bottleneck in Neural Speech Synthesis. - Yanzhao Wu, Ling Liu, Ramana Kompella:
Parallel Detection for Efficient Video Analytics at the Edge. - Luis Alberto Robles Hernandez, Tiffany J. Callahan, Juan M. Banda:
A Biomedically oriented automatically annotated Twitter COVID-19 Dataset. - Nicholas Springer, Wu-chang Feng:
Thunder CTF: Learning Cloud Security on a Dime. - Yuka Ikarashi, Jonathan Ragan-Kelley, Tsukasa Fukusato, Jun Kato, Takeo Igarashi:
Guided Optimization for Image Processing Pipelines. - James Koppel:
Version Space Algebras are Acyclic Tree Automata. - Bo Miao, Mohammed Bennamoun, Yongsheng Gao, Ajmal Mian:
Self-Supervised Video Object Segmentation by Motion-Aware Mask Propagation. - Denis A. Gudovskiy, Shun Ishizaka, Kazuki Kozuka:
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows. - Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu:
CCGL: Contrastive Cascade Graph Learning. - Jinyu Guo, Kai Shuang, Jijie Li, Zihan Wang:
Dual Slot Selector via Local Reliability Verification for Dialogue State Tracking. - Xiangxi Shi, Zhonghua Wu, Guosheng Lin, Jianfei Cai, Shafiq R. Joty:
Remember What You have drawn: Semantic Image Manipulation with Memory. - Chiyuan Zhang, Maithra Raghu, Jon M. Kleinberg, Samy Bengio:
Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization. - Shuqin Gao, Costas Courcoubetis, Lingjie Duan:
Average-Case Analysis of Greedy Matching for D2D Resource Sharing. - Song Tang, Yan Yang, Zhiyuan Ma, Norman Hendrich, Fanyu Zeng, Shuzhi Sam Ge, Changshui Zhang, Jianwei Zhang:
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation. - Chunyi Huang, Mingzhi Zhang, Chengmin Wang, Ning Xie, Jian Wang, Shi Peng:
A Novel Interactive Two-stage Joint Retail Electricity Market for Multiple Microgrids. - Fa-Ting Hong, Jia-Chang Feng, Dan Xu, Ying Shan, Wei-Shi Zheng:
Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization. - Hoifung Poon, Hai Wang, Hunter Lang:
Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning. - Insha Ullah, Kerrie L. Mengersen, Rob J. Hyndman, James M. McGree:
Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis. - Eduardo Camps-Moreno, Ignacio García-Marco, Hiram H. López, Irene Márquez-Corbella, Edgar Martínez-Moro, Eliseo Sarmiento:
On decoding hyperbolic codes. - (Withdrawn) Template-based Chatbot for Agriculture Related FAQs.
- Peihu Duan, Lidong He, Zhisheng Duan, Ling Shi:
Fully Distributed LQR-based Controller Design for Multi-input Time-varying Systems. - Maximilian Altmeyer, Marc Schubhan, Antonio Krüger, Pascal Lessel:
A Long-Term Investigation on the Effects of (Personalized) Gamification on Course Participation in a Gym. - Daping Zhang, Hongyu Yang, Jiayu Cao:
Identify Apple Leaf Diseases Using Deep Learning Algorithm. - Maximilian Altmeyer, Pascal Lessel, Atiq Ur Rehman Waqar, Antonio Krüger:
Design Guidelines to Increase the Persuasiveness of Achievement Goals for Physical Activity. - Pan Xie, Mengyi Zhao, Xiaohui Hu:
PiSLTRc: Position-informed Sign Language Transformer with Content-aware Convolution. - Ming Liu, Stella Ho, Mengqi Wang, Longxiang Gao, Yuan Jin, He Zhang:
Federated Learning Meets Natural Language Processing: A Survey. - Xiaotian Han, Jianwei Yang, Houdong Hu, Lei Zhang, Jianfeng Gao, Pengchuan Zhang:
Image Scene Graph Generation (SGG) Benchmark. - Yuchen Chai, Juan Palacios, Jianghao Wang, Yichun Fan, Siqi Zheng:
Measuring daily-life fear perception change: a computational study in the context of COVID-19. - Wesley Joon-Wie Tann, Ee-Chien Chang:
Poisoning of Online Learning Filters: DDoS Attacks and Countermeasures. - Marvin Geiselhart, Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer, Stephan ten Brink:
Iterative Reed-Muller Decoding. - Rajashekhar V. S, Dinakar Raj C. K, Vishwesh S, Selva Perumal E, Nirmal Kumar M:
Design and Analysis of a Robotic Lizard using Five-Bar Mechanism. - Rundong Ge, Giuseppe Loianno:
VIPose: Real-time Visual-Inertial 6D Object Pose Tracking. - Haisheng Su, Peiqin Zhuang, Yukun Li, Dongliang Wang, Weihao Gan, Wei Wu, Yu Qiao:
Transferable Knowledge-Based Multi-Granularity Aggregation Network for Temporal Action Localization: Submission to ActivityNet Challenge 2021. - Changan Wang, Qingyu Song, Boshen Zhang, Yabiao Wang, Ying Tai, Xuyi Hu, Chengjie Wang, Jilin Li, Jiayi Ma, Yang Wu:
Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting. - Theodosis Mourouzis, Andreas Avgousti:
Intrusion Detection with Machine Learning Using Open-Sourced Datasets. - Yuxin Zhang, Yiqiang Chen, Jindong Wang, Zhiwen Pan:
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals. - Zuchao Li, Kevin Parnow, Hai Zhao, Zhuosheng Zhang, Rui Wang, Masao Utiyama, Eiichiro Sumita:
Cross-lingual Transferring of Pre-trained Contextualized Language Models. - Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li:
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration. - Jiancheng An, Chao Xu, Yusha Liu, Lu Gan, Lajos Hanzo:
Low-Complexity Improved-Throughput Generalised Spatial Modulation: Bit-to-Symbol Mapping, Detection and Performance Analysis. - Wen Wang, Yang Cao, Jing Zhang, Fengxiang He, Zheng-Jun Zha, Yonggang Wen, Dacheng Tao:
Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers. - Rajashekhar Vachiravelu Saminathan:
Topology Design and Position Analysis of a Reconfigurable Modular Hybrid-Parallel Manipulator. - Milad Haghani, Michiel C. J. Bliemer:
Structure and temporal evolution of transportation literature. - Ning Huyan, Dou Quan, Xiangrong Zhang, Xuefeng Liang, Jocelyn Chanussot, Licheng Jiao:
Unsupervised Outlier Detection using Memory and Contrastive Learning. - Erkin Türköz, Ertug Olcay, Timo Oksanen:
Computer Vision-Based Guidance Assistance Concept for Plowing Using RGB-D Camera. - Tatiana Tatarenko, Jan Zimmermann, Jürgen Adamy:
Gradient Play in $n$-Cluster Games with Zero-Order Information. - Fengqian Guo, Hancheng Lu, Zhuojia Gu:
Joint Power and User Grouping Optimization in Cell-Free Massive MIMO Systems. - Xinzhe Han, Shuhui Wang, Chi Su, Qingming Huang, Qi Tian:
Greedy Gradient Ensemble for Robust Visual Question Answering. - Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan:
Co-Transport for Class-Incremental Learning. - Sungmin Woo, Dogyoon Lee, Junhyeop Lee, Sangwon Hwang, Woo Jin Kim, Sangyoun Lee:
CKConv: Learning Feature Voxelization for Point Cloud Analysis. - Sohee Kim, Seungkyu Lee:
Continual Learning with Neuron Activation Importance. - Anastasiia Tkalich, Nils Brede Moe, Tor Sporsem:
Employee-Driven Innovation to Fuel Internal Software Startups: Preliminary Findings. - Daniel Biediger, Luben Popov, Aaron T. Becker:
The Pursuit and Evasion of Drones Attacking an Automated Turret. - Shi-Xue Zhang, Xiaobin Zhu, Chun Yang, Hongfa Wang, Xu-Cheng Yin:
Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection. - Zefeng Ding, Changxing Ding, Zhiyin Shao, Dacheng Tao:
Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identification. - Xinyue Pei, Yingyang Chen, Miaowen Wen, Hua Yu, Erdal Panayirci, H. Vincent Poor:
Next-Generation Multiple Access Based on NOMA with Power Level Modulation. - Sebastian Weiss, Rüdiger Westermann:
Differentiable Direct Volume Rendering. - Paul Wimmer, Jens Mehnert, Alexandru Condurache:
COPS: Controlled Pruning Before Training Starts. - Eitan Kosman, Dotan Di Castro:
Vision-Guided Forecasting - Visual Context for Multi-Horizon Time Series Forecasting. - Pawel Drozdowski, Fabian Stockhardt, Christian Rathgeb, Dailé Osorio Roig, Christoph Busch:
Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition with Privacy Protection. - Fengqian Guo, Hancheng Lu, Xiaoda Jiang, Ming Zhang, Jun Wu, Chang Wen Chen:
QoS-aware User Grouping Strategy for Downlink Multi-Cell NOMA Systems. - Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, Ángel González-Prieto:
Deep Variational Models for Collaborative Filtering-based Recommender Systems. - Wenlong Cheng, Mingbo Zhao, Zhiling Ye, Shuhang Gu:
MFAGAN: A Compression Framework for Memory-Efficient On-Device Super-Resolution GAN. - Anna Pia Lohfink, Frederike Gartzky, Florian Wetzels, Luisa Vollmer, Christoph Garth:
Time-Varying Fuzzy Contour Trees. - Elie Bretin, Pierre Millien, Laurent Seppecher:
Stability for finite element discretization of some elliptic inverse parameter problems from internal data - application to elastography. - Ilja Kuzborskij, Csaba Szepesvári, Omar Rivasplata, Amal Rannen-Triki, Razvan Pascanu:
On the Role of Optimization in Double Descent: A Least Squares Study. - Michel Fliess, Cédric Join, Kaouther Moussa, Seddik M. Djouadi, Mohamed W. Alsager:
Toward simple "silico" experiments for drugs administration in some cancer treatments. - Andrés E. Gómez, Thomas Genevois, Jérôme Lussereau, Christian Laugier:
Dynamic and Static Object Detection Considering Fusion Regions and Point-wise Features. - Sedaghat Shahmorad, Payam Mokhtary, Younes Talaei, Amin Faghih:
A new recursive spectral Tau method on system of generalized Abel-Volterra integral equations. - Staas de Jong:
A tactile closed-loop device for musical interaction. - Jukka Ruohonen, Kalle Hjerppe, Kalle Rindell:
A Large-Scale Security-Oriented Static Analysis of Python Packages in PyPI. - Mohit Vohra, Ashish Kumar, Ravi Prakash, Laxmidhar Behera:
End-To-End Real-Time Visual Perception Framework for Construction Automation. - Staas de Jong:
The cyclotactor: towards a tactile platform for musical interaction. - Tanmoy Dam, Sreenatha G. Anavatti, Hussein A. Abbass:
Improving ClusterGAN Using Self-AugmentedInformation Maximization of Disentangling LatentSpaces. - Zhaoyu Su, Pin Siang Tan, Yu-Hsing Wang:
DV-Det: Efficient 3D Point Cloud Object Detection with Dynamic Voxelization. - Anna Rogers, Matt Gardner, Isabelle Augenstein:
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension. - Staas de Jong:
Developing the cyclotactor. - Ruth Shortall, Anatol Itten, Michiel van der Meer, Pradeep K. Murukannaiah, Catholijn M. Jonker:
Inclusion, equality and bias in designing online mass deliberative platforms. - Staas de Jong:
Making grains tangible: microtouch for microsound. - Minkyu Kim, Ryan Gupta, Luis Sentis:
Information-Theoretic Based Target Search with Multiple Agents. - Staas de Jong:
Ghostfinger: a novel platform for fully computational fingertip controllers. - Yaqiong Zhao, Wei Xu, Huan Sun, Derrick Wing Kwan Ng, Xiaohu You:
Cooperative Reflection Design with Timing Offsets in Distributed Multi-RIS Communications. - Alessio Xompero, Santiago Donaher, Vladimir Iashin, Francesca Palermo, Gökhan Solak, Claudio Coppola, Reina Ishikawa, Yuichi Nagao, Ryo Hachiuma, Qi Liu, Fan Feng, Chuanlin Lan, Rosa H. M. Chan, Guilherme Henrique Galelli Christmann, Jyun-Ting Song, Gonuguntla Neeharika, Chinnakotla Krishna Teja Reddy, Dinesh Jain, Bakhtawar Ur Rehman, Andrea Cavallaro:
Multi-modal estimation of the properties of containers and their content: survey and evaluation. - Bin Guo, Emil Sekerinski:
Efficient Parallel Graph Trimming by Arc-Consistency. - Hongchen Cao, Shuai Li, Yuming Zhou, Ming Fan, Xuejiao Zhao, Yutian Tang:
Towards Black-box Attacks on Deep Learning Apps. - Ralf Raumanns, Gerard Schouten, Max Joosten, Josien P. W. Pluim, Veronika Cheplygina:
ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification. - Yujie Wang, Xin Du, Xuzhao Chen, Zhihui Lu:
Edge service resource allocation strategy based on intelligent prediction. - Sahar Darafsh, Saeed Shiry Ghidary, Morteza Saheb Zamani:
Real-Time Activity Recognition and Intention Recognition Using a Vision-based Embedded System. - Qingyu Song, Changan Wang, Zhengkai Jiang, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yang Wu:
Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework. - Helena Blazun Vosner, Peter Kokol, Danica Zeleznik, Jernej Zavrsnik:
Bibliometric Profile of Nursing Research in Ex Yugoslavian Countries. - Xuan Xia, Xizhou Pan, Xing He, Jingfei Zhang, Ning Ding, Lin Ma:
Discriminative-Generative Representation Learning for One-Class Anomaly Detection. - Pan Xie, Zhi Cui, Yao Du, Mengyi Zhao, Jianwei Cui, Bin Wang, Xiaohui Hu:
Multi-Scale Local-Temporal Similarity Fusion for Continuous Sign Language Recognition. - Zhanwei Yu, Di Yuan:
Resource Optimization with Interference Coupling in Multi-IRS-assisted Multi-cell Systems. - Adrian Kliks, Lukasz Kulacz, Pawel Kryszkiewicz, Hanna Bogucka, Marcin Dryjanski, Magnus Isaksson, Georgios P. Koudouridis, Per Tengkvist:
Beyond 5G: Big Data Processing for Better Spectrum Utilization. - Lorenzo Menculini, Andrea Marini, Massimiliano Proietti, Alberto Garinei, Alessio Bozza, Cecilia Moretti, Marcello Marconi:
Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices. - Enes Yigitbas, Simon Gorissen, Nils Weidmann, Gregor Engels:
Collaborative Software Modeling in Virtual Reality. - Majid Forghani-elahabad:
Assessing the performance of smart grid communication networks under both time and budget constraints. - Jianxin Xie, Bing Yao:
Physics-constrained Deep Learning for Robust Inverse ECG Modeling. - Roy Friedman, Rafal Kapelko, Karol Marchwicki:
On the data persistency of replicated erasure codes in distributed storage systems. - Ruchira Gothankar, Fabio Di Troia, Mark Stamp:
Clickbait Detection in YouTube Videos. - Yuyun Yang, Zhenfei Tan, Haitao Yang, Guangchun Ruan, Haiwang Zhong:
Short-Term Electricity Price Forecasting based on Graph Convolution Network and Attention Mechanism. - Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou:
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment. - Yejiang Yang, Weiming Xiang:
Robust Optimization Framework for Training Shallow Neural Networks Using Reachability Method. - Sunder Ali Khowaja, Kapal Dev, Nawab Muhammad Faseeh Qureshi, Parus Khuwaja, Luca Foschini:
Towards Industrial Private AI: A two-tier framework for data and model security. - Supun Kamburugamuve, Chathura Widanage, Niranda Perera, Vibhatha Abeykoon, Ahmet Uyar, Thejaka Amila Kanewala, Gregor von Laszewski, Geoffrey C. Fox:
HPTMT: Operator-Based Architecture for Scalable High-Performance Data-Intensive Frameworks. - Open Ended Learning Team, Adam Stooke, Anuj Mahajan, Catarina Barros, Charlie Deck, Jakob Bauer, Jakub Sygnowski, Maja Trebacz, Max Jaderberg, Michaël Mathieu, Nat McAleese, Nathalie Bradley-Schmieg, Nathaniel Wong, Nicolas Porcel, Roberta Raileanu, Steph Hughes-Fitt, Valentin Dalibard, Wojciech Marian Czarnecki:
Open-Ended Learning Leads to Generally Capable Agents. - Mimi Zhang, Andrew Parnell, Dermot Brabazon, Alessio Benavoli:
Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing. - Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Eero P. Simoncelli, Carlos Fernandez-Granda:
Adaptive Denoising via GainTuning. - Pawel Sroka, Adrian Kliks, Michal Sybis, Pawel Kryszkiewicz:
Dynamic Power and Frequency Allocation Scheme for Autonomous Platooning. - Hiroki Kawakami, Hirohisa Watanabe, Keisuke Sugiura, Hiroki Matsutani:
A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge Domain Adaptation on FPGAs. - Guillaume Ausset, Tom Ciffreo, François Portier, Stéphan Clémençon, Timothée Papin:
Individual Survival Curves with Conditional Normalizing Flows. - Patrik Joslin Kenfack, Adil Mehmood Khan, Rasheed Hussain, S. M. Ahsan Kazmi:
Adversarial Stacked Auto-Encoders for Fair Representation Learning. - Wei Dai, Bizhao Pang, Kin Huat Low:
Conflict-Free Four-Dimensional Path Planning for Urban Air Mobility Considering Airspace Occupations. - Carolina Duarte, Valderi R. Q. Leithardt:
Estudo Abordando o Contexto de Notícias Falsas em Países de Língua Portuguesa (Fake News). - Samuel Chassot:
Development of a NIC driver in C#. - Roberto F. Ausas, Cristian G. Gebhardt, Gustavo C. Buscaglia:
A finite element method for simulating soft active non-shearable rods immersed in generalized Newtonian fluids. - Riqiang Gao, Mirza S. Khan, Yucheng Tang, Kaiwen Xu, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT. - Agnese Augello, Giuseppe Città, Manuel Gentile, Antonio Lieto:
A Storytelling Robot managing Persuasive and Ethical Stances via ACT-R: an Exploratory Study. - Helmut Niederwieser, Markus Tranninger, Richard Seeber, Markus Reichhartinger:
Higher-order sliding mode observer design for linear time-invariant multivariable systems based on a new observer normal form. - Runze Li, Srikrishna Karanam, Ren Li, Terrence Chen, Bir Bhanu, Ziyan Wu:
Learning Local Recurrent Models for Human Mesh Recovery. - Paul E. Black, Barbara Guttman, Vadim Okun:
Guidelines on Minimum Standards for Developer Verification of Software. - Hao Yang, Tavan Eftekhar, Chad Esselink, Yan Ding, Shiqi Zhang:
Task and Situation Structures for Service Agent Planning. - Jie Li, Sheng Zhang, Kai Han, Xia Yuan, Chunxia Zhao, Yu Liu:
Real-time Keypoints Detection for Autonomous Recovery of the Unmanned Ground Vehicle. - Federico Simonetta, Stavros Ntalampiras, Federico Avanzini:
Audio-to-Score Alignment Using Deep Automatic Music Transcription. - Florian Jaeckle, Jingyue Lu, M. Pawan Kumar:
Neural Network Branch-and-Bound for Neural Network Verification. - Zhikang Zou, Xiaoye Qu, Pan Zhou, Shuangjie Xu, Xiaoqing Ye, Wenhao Wu, Jin Ye:
Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network. - Abhinav Narayan Harish, Rajendra Nagar, Shanmuganathan Raman:
RGL-NET: A Recurrent Graph Learning framework for Progressive Part Assembly. - Sheikh Muhammad Sarwar, Vanessa Murdock:
Unsupervised Domain Adaptation for Hate Speech Detection Using a Data Augmentation Approach. - Wenqiang Li, Le Guan, Jingqiang Lin, Jiameng Shi, Fengjun Li:
From Library Portability to Para-rehosting: Natively Executing Microcontroller Software on Commodity Hardware. - Eric Squires, Rohit Konda, Samuel Coogan, Magnus Egerstedt:
Model Free Barrier Functions via Implicit Evading Maneuvers. - Nicolas Fleury, Theo Dubrunquez, Ihsen Alouani:
PDF-Malware: An Overview on Threats, Detection and Evasion Attacks. - Franz Baader, Patrick Koopmann, Friedrich Michel, Anni-Yasmin Turhan, Benjamin Zarrieß:
Efficient TBox Reasoning with Value Restrictions using the ℱℒ0wer reasoner. - Lizardo Vargas-Bianchi:
Consumer belonging behaviour: Qualitative testing of a theoretical framework and proposal of an alternative model. - Carlos Diego Nascimento Damasceno, Fábio Manoel França Lobato, Elton Rocha Moutinho, Arilene Santos de França, Ivan Ikikame de Oliveira, Ádamo Lima de Santana:
SimCleaner - Sistema de Padronização de Bases de Dados utilizando Funções de Similaridade. - Jose L. Gracia, Adrián Navas-Montilla, Eugene O'Riordan:
Parameter-uniform numerical methods for singularly perturbed linear transport problems. - Felix Casel, Amelie Heindl, Roman Klinger:
Emotion Recognition under Consideration of the Emotion Component Process Model. - Yuda Song, Hui Qian, Xin Du:
StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement. - Haruka Terai, Daisuke Iwai, Kosuke Sato:
Projector Pixel Redirection Using Phase-Only Spatial Light Modulator. - Hari Govind V. K., Sharon Shoham, Arie Gurfinkel:
Logical Characterization of Coherent Uninterpreted Programs. - James Harold Davenport:
Digital Collections of Examples in Mathematical Sciences. - Davis Ross Silverman, Yihao Sun, Kristopher K. Micinski, Thomas Gilray:
So You Want to Analyze Scheme Programs With Datalog? - Hongpeng Zhou, Chahine Ibrahim, Wei Xing Zheng, Wei Pan:
Sparse Bayesian Deep Learning for Dynamic System Identification. - Federico Franzoni, Xavier Salleras, Vanesa Daza:
AToM: Active Topology Monitoring for the Bitcoin Peer-to-Peer Network. - Julian Stier, Harshil Darji, Michael Granitzer:
Experiments on Properties of Hidden Structures of Sparse Neural Networks. - José Roberto Ayala Solares, Yajie Zhu, Abdelaali Hassaïne, Shishir Rao, Yikuan Li, Mohammad Mamouei, Dexter Canoy, Kazem Rahimi, Gholamreza Salimi Khorshidi:
Transfer Learning in Electronic Health Records through Clinical Concept Embedding. - Bao Minh Doan Dang, Laura Oberländer, Roman Klinger:
Emotion Stimulus Detection in German News Headlines. - Hang Liu, Menghan Hu, Yuzhen Chen, Qingli Li, Guangtao Zhai, Simon X. Yang, Xiao-Ping Zhang, Xiaokang Yang:
Angel's Girl for Blind Painters: an Efficient Painting Navigation System Validated by Multimodal Evaluation Approach. - Jong Hoon Shin, Ali Shafiee, Ardavan Pedram, Hamzah Abdel-Aziz, Ling Li, Joseph Hassoun:
Design Space Exploration of Sparse Accelerators for Deep Neural Networks. - Xidong Wang:
Finite-Time Gradient Descent-Based Adaptive Neural Network Finite-Time Control Design for Attitude Tracking of a 3-DOF Helicopter. - James Barry, Joachim Wagner, Lauren Cassidy, Alan Cowap, Teresa Lynn, Abigail Walsh, Mícheál J. Ó Meachair, Jennifer Foster:
gaBERT - an Irish Language Model. - Archit Sharma, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn:
Persistent Reinforcement Learning via Subgoal Curricula. - Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi:
Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation. - Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
A Hybrid Reduced Order Model for nonlinear LES filtering. - Yuchao Huang, Moshi Wei, Song Wang, Junjie Wang, Qing Wang:
Yet Another Combination of IR- and Neural-based Comment Generation. - Sarnaduti Brahma, Adil Khurram, Hamid R. Ossareh, Mads Almassalkhi:
Optimal Frequency Regulation using Packetized Energy Management. - Mark Koren, Ahmed Nassar, Mykel J. Kochenderfer:
Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward Algorithm. - Nicola Bernini, Mikhail Bessa, Rémi Delmas, Arthur Gold, Eric Goubault, Romain Pennec, Sylvie Putot, François X. Sillion:
Reinforcement Learning with Formal Performance Metrics for Quadcopter Attitude Control under Non-nominal Contexts. - Hui Luo, Zhifeng Bao, Gao Cong, J. Shane Culpepper, Nguyen Lu Dang Khoa:
Let Trajectories Speak Out the Traffic Bottlenecks. - Karim Cherifi, Pawan Goyal, Peter Benner:
A Greedy Data Collection Scheme For Linear Dynamical Systems. - Gabriel R. Barrenechea, Endre Süli:
Analysis of a stabilised finite element method for power-law fluids. - David M. Sommer, Lukas Abfalterer, Sheila Zingg, Esfandiar Mohammadi:
Learning Numeric Optimal Differentially Private Truncated Additive Mechanisms. - Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram:
Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. - Zixin Zhu, Wei Tang, Le Wang, Nanning Zheng, Gang Hua:
Enriching Local and Global Contexts for Temporal Action Localization. - Alice Baird, Lukas Stappen, Lukas Christ, Lea Schumann, Eva-Maria Meßner, Björn W. Schuller:
A Physiologically-Adapted Gold Standard for Arousal during Stress. - David Bonet, Antonio Ortega, Javier Ruiz Hidalgo, Sarath Shekkizhar:
Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation. - Henning Fernau, Kshitij Gajjar:
The Space Complexity of Sum Labelling. - Inga Strümke, Marija Slavkovik, Vince I. Madai:
The social dilemma in AI development and why we have to solve it. - Beren Millidge, Anil K. Seth, Christopher L. Buckley:
Predictive Coding: a Theoretical and Experimental Review. - Takaaki Yanagihara, Akihiro Fujihara:
Cross-Referencing Method for Scalable Public Blockchain. - Shankara Narayanan Krishna, Khushraj Nanik Madnani, Manuel Mazo Jr., Paritosh K. Pandya:
Logics Meet 2-Way 1-Clock Alternating Timed Automata. - Harsh Sharma, Zhu Wang, Boris Kramer:
Hamiltonian Operator Inference: Physics-preserving Learning of Reduced-order Models for Hamiltonian Systems. - George Onoufriou, Paul Mayfield, Georgios Leontidis:
Fully Homomorphically Encrypted Deep Learning as a Service. - Shreyank N. Gowda, Laura Sevilla-Lara, Kiyoon Kim, Frank Keller, Marcus Rohrbach:
A New Split for Evaluating True Zero-Shot Action Recognition. - Vivek Kalyan, Sam Witteveen, Martin Andrews:
Red Dragon AI at TextGraphs 2021 Shared Task: Multi-Hop Inference Explanation Regeneration by Matching Expert Ratings. - Timothy Nguyen, Roman Novak, Lechao Xiao, Jaehoon Lee:
Dataset Distillation with Infinitely Wide Convolutional Networks. - Alexander Dallmann, Daniel Zoller, Andreas Hotho:
A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models. - Fadi Boutros, Naser Damer, Meiling Fang, Florian Kirchbuchner, Arjan Kuijper:
MixFaceNets: Extremely Efficient Face Recognition Networks. - Sajjad Rahnama, Suyash Gupta, Rohan Sogani, Dhruv Krishnan, Mohammad Sadoghi:
RingBFT: Resilient Consensus over Sharded Ring Topology. - Dantong Zhu, Minjia Zhang:
Understanding and Generalizing Monotonic Proximity Graphs for Approximate Nearest Neighbor Search. - Yuanyuan Hua, Danial Chitnis:
A Highly Linear and Flexible FPGA-Based Time-to-Digital Converter. - Cameron R. Wolfe, Keld T. Lundgaard:
Exceeding the Limits of Visual-Linguistic Multi-Task Learning. - Gedaliah Knizhnik, Mark Yim:
Thrust Direction Control of an Underactuated Oscillating Swimming Robot. - J. Darby Smith, Aaron J. Hill, Leah E. Reeder, Brian C. Franke, Richard B. Lehoucq, Ojas Parekh, William Severa, James B. Aimone:
Neuromorphic scaling advantages for energy-efficient random walk computation. - Yu Wang, Yuesong Shen, Daniel Cremers:
Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification. - Masoud Behzadinasab, Mert Alaydin, Nathaniel Trask, Yuri Bazilevs:
A General-Purpose, Inelastic, Rotation-Free Kirchhoff-Love Shell Formulation for Peridynamics. - Chen Peng, Stavros Vougioukas, David C. Slaughter, Zhenghao Fei, Rajkishan Arikapudi:
A strawberry harvest-aiding system with crop-transport co-robots: Design, development, and field evaluation. - Wil M. P. van der Aalst, Tobias Brockhoff, Anahita Farhang Ghahfarokhi, Mahsa Pourbafrani, Merih Seran Uysal, Sebastiaan J. van Zelst:
Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP). - Mohammad Taha Bahadori, Eric Tchetgen Tchetgen, David E. Heckerman:
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation. - Chien-Chung Huang, François Sellier:
Semi-Streaming Algorithms for Submodular Function Maximization under $b$-Matching Constraint. - Marcel Moosbrugger, Ezio Bartocci, Joost-Pieter Katoen, Laura Kovács:
The Probabilistic Termination Tool Amber. - Jian Gao, Yian Yin, Kyle R. Myers, Karim R. Lakhani, Dashun Wang:
Loss of New Ideas: Potentially Long-lasting Effects of the Pandemic on Scientists. - Sebastiaan De Peuter, Antti Oulasvirta, Samuel Kaski:
Toward AI Assistants That Let Designers Design. - Jennifer Chubb, Sondess Missaoui, Shauna Concannon, Liam Maloney, James Alfred Walker:
Interactive Storytelling for Children: A Case-study of Design and Development Considerations for Ethical Conversational AI. - Yufei Wang, Can Xu, Huang Hu, Chongyang Tao, Stephen Wan, Mark Dras, Mark Johnson, Daxin Jiang:
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation. - Farwa K. Khan, Adrian Flanagan, Kuan Eeik Tan, Zareen Alamgir, Muhammad Ammad-ud-din:
A Payload Optimization Method for Federated Recommender Systems. - Ying Jin, Yinpeng Chen, Lijuan Wang, Jianfeng Wang, Pei Yu, Zicheng Liu, Jenq-Neng Hwang:
Is Object Detection Necessary for Human-Object Interaction Recognition? - Romain Wallon:
On Improving the Backjump Level in PB Solvers. - Yanchao Yang, Yuefan Shen, Youyi Zheng, C. Karen Liu, Leonidas J. Guibas:
DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis. - Arnob Saha, A. N. M. Nafiul Islam, Zijian Zhao, Shan Deng, Kai Ni, Abhronil Sengupta:
Intrinsic synaptic plasticity of ferroelectric field effect transistors for online learning. - Reece Walsh, Mohamed H. Abdelpakey, Mohamed S. Shehata, Mostafa M. Mohamed:
Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning. - Jason Kaye, Kun Chen, Olivier Parcollet:
Discrete Lehmann representation of imaginary time Green's functions. - Daniel D'souza, Zach Nussbaum, Chirag Agarwal, Sara Hooker:
A Tale Of Two Long Tails. - Mathias Jakobsen, Alice Ravier, Ornela Dardha:
Papaya: Global Typestate Analysis of Aliased Objects Extended Version. - Carlos Augusto Pötter Neto, Gustavo de Carvalho Bertoli, Osamu Saotome:
A-star path planning simulation for UAS Traffic Management (UTM) application. - Marko Durasevic, Domagoj Jakobovic:
Heuristic and Metaheuristic Methods for the Unrelated Machines Scheduling Problem: A Survey. - Arvind K. Saibaba, Rachel Minster, Misha E. Kilmer:
Efficient randomized tensor-based algorithms for function approximation and low-rank kernel interactions. - Bin Tan, Nan Xue, Song Bai, Tianfu Wu, Gui-Song Xia:
PlaneTR: Structure-Guided Transformers for 3D Plane Recovery. - Masahiro Suzuki, Takaaki Kaneko, Yutaka Matsuo:
Pixyz: a library for developing deep generative models. - Ahmed Elhagry, Karima Kadaoui:
Experimenting with Self-Supervision using Rotation Prediction for Image Captioning. - Ahmed Elhagry, Karima Kadaoui:
A Thorough Review on Recent Deep Learning Methodologies for Image Captioning. - Lu Wang, Munif Ishad Mujib, Jake Ryland Williams, George Demiris, Jina Huh-Yoo:
An Evaluation of Generative Pre-Training Model-based Therapy Chatbot for Caregivers. - Mahmoud Afifi:
Image color correction, enhancement, and editing. - Jinlei Hou, Yingying Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Hong Zhou:
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection. - Zhigao Fang, Jiaqi Zhang, Lu Yu, Yin Zhao:
Subjective evaluation of traditional and learning-based image coding methods. - Xi Li, George Kesidis, David J. Miller, Maxime Bergeron, Ryan Ferguson, Vladimir Lucic:
Robust and Active Learning for Deep Neural Network Regression. - Eric Zhan, Jennifer J. Sun, Ann Kennedy, Yisong Yue, Swarat Chaudhuri:
Unsupervised Learning of Neurosymbolic Encoders. - Chaoqiang Zhao, Yang Tang, Qiyu Sun:
Unsupervised Monocular Depth Estimation in Highly Complex Environments. - Guochen Yu, Yutian Wang, Chengshi Zheng, Hui Wang, Qin Zhang:
CycleGAN-based Non-parallel Speech Enhancement with an Adaptive Attention-in-attention Mechanism. - Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Won Jung, Sung-Jea Ko:
Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention. - Jianhua Yang, Yi Liao, Fei Shang, Xiangui Kang, Yun Qing Shi:
JPEG Steganography with Embedding Cost Learning and Side-Information Estimation. - Wei Zhou, Xin Cao, Xiaodan Zhang, Xingxing Hao, Dekui Wang, Ying He:
Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds. - Yuqiao Liu, Yehui Tang, Yanan Sun:
Homogeneous Architecture Augmentation for Neural Predictor. - Xiangtai Li, Li Zhang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Xiatian Zhu, Tao Xiang:
Global Aggregation then Local Distribution for Scene Parsing. - Xiangtai Li, Hao He, Henghui Ding, Kuiyuan Yang, Guangliang Cheng, Jianping Shi, Yunhai Tong:
Improving Video Instance Segmentation via Temporal Pyramid Routing. - Xin Gao, Zhenjiang Liu, Zunlei Feng, Chengji Shen, Kairi Ou, Haihong Tang, Mingli Song:
Shape Controllable Virtual Try-on for Underwear Models. - Colin Wei, Yining Chen, Tengyu Ma:
Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers. - Kushal Chawla, Rene Clever, Jaysa Ramirez, Gale M. Lucas, Jonathan Gratch:
Towards Emotion-Aware Agents For Negotiation Dialogues. - Sai Li, Liang Yang:
Performance Analysis of Dual-Hop THz Transmission Systems over $α$-$μ$ Fading Channels with Pointing Errors. - Yao Hu, Guohua Geng, Kang Li, Wei Zhou, Xingxing Hao, Xin Cao:
Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN(SRG-Net). - Xiaojie Gao, Yueming Jin, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng:
Accurate Grid Keypoint Learning for Efficient Video Prediction. - Zhiyong Yang, Qianqian Xu, Shilong Bao, Xiaochun Cao, Qingming Huang:
Learning with Multiclass AUC: Theory and Algorithms. - Siddharth Divi, Yi-Shan Lin, Habiba Farrukh, Z. Berkay Celik:
New Metrics to Evaluate the Performance and Fairness of Personalized Federated Learning. - Bing Huang, Hai Dong, Athman Bouguettaya:
Conflict Detection in IoT-based Smart Homes. - Javier Naranjo-Alcazar, Sergi Perez-Castanos, Aarón López-García, Pedro Zuccarello, Maximo Cobos, Francesc J. Ferri:
Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification. - Xuan Mai, Quanzhi Fu, Yi Chen:
Packet Routing with Graph Attention Multi-agent Reinforcement Learning. - Hieu Nguyen, Richard Tsai:
Numerical wave propagation aided by deep learning. - Zhen Xu, Wei-Wei Tu, Isabelle Guyon:
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge. - Qing Lyu, Li Zhang, Chris Callison-Burch:
Goal-Oriented Script Construction. - Aoting Hu, Renjie Xie, Zhigang Lu, Aiqun Hu, Minhui Xue:
TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing. - Ingrid Daubechies, Ronald A. DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park, Guergana Petrova, Barak Sober:
Neural Network Approximation of Refinable Functions. - Ze Yang, Haofei Wang, Feng Lu:
Assessment of Deep Learning-based Heart Rate Estimation using Remote Photoplethysmography under Different Illuminations. - Anh Tung Nguyen, Ji Won Lee, Thanh Binh Nguyen, Sung Kyung Hong:
Collision-free Formation Control of Multiple Nano-quadrotors. - Karl Bringmann, Vasileios Nakos:
Top-k-Convolution and the Quest for Near-Linear Output-Sensitive Subset Sum. - Moritz Hauck, Daniel Peterseim:
Super-localization of elliptic multiscale problems. - Michal Zasadzinski, Michael Theodoulou, Markus Thurner, Kshitij Ranganath:
The Trip to The Enterprise Gourmet Data Product Marketplace through a Self-service Data Platform. - Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski:
SONG: Self-Organizing Neural Graphs. - Geetika Arora, Rohit K. Bharadwaj, Kamlesh Tiwari:
DeepTeeth: A Teeth-photo Based Human Authentication System for Mobile and Hand-held Devices. - Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak:
Normalization Matters in Weakly Supervised Object Localization. - Qin Li, Xiao Huang, Pan Yan, Yi Duan:
Third-order scale-independent WENO-Z scheme achieving optimal order at critical points. - Yuxin He, Lishuai Li, Xinting Zhu, Kwok Leung Tsui:
Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow. - Shreyan Chowdhury, Gerhard Widmer:
On Perceived Emotion in Expressive Piano Performance: Further Experimental Evidence for the Relevance of Mid-level Perceptual Features. - Christos Kyrkou:
C^3Net: End-to-End deep learning for efficient real-time visual active camera control. - David García, Max Pellert, Jana Lasser, Hannah Metzler:
Social media emotion macroscopes reflect emotional experiences in society at large. - Swapan Kumar Patra:
Library and Information Science Research in Indian Universities: Growth, Core Journals, Keywords and Collaboration Patterns. - Tesla Zhang:
Type theories in category theory. - Bang Xiang Yong, Yasmin Fathy, Alexandra Brintrup:
Bayesian Autoencoders for Drift Detection in Industrial Environments. - Bang Xiang Yong, Alexandra Brintrup:
Multi Agent System for Machine Learning Under Uncertainty in Cyber Physical Manufacturing System. - Alishiba Dsouza, Nicolas Tempelmeier, Elena Demidova:
Towards Neural Schema Alignment for OpenStreetMap and Knowledge Graphs. - Xiao Gu, Jianing Qiu, Yao Guo, Benny Lo, Guang-Zhong Yang:
TransAction: ICL-SJTU Submission to EPIC-Kitchens Action Anticipation Challenge 2021. - Eugenio Lomurno, Andrea Romanoni, Matteo Matteucci:
Improving Multi-View Stereo via Super-Resolution. - Aji Resindra Widya, Yusuke Monno, Masatoshi Okutomi, Sho Suzuki, Takuji Gotoda, Kenji Miki:
Learning-Based Depth and Pose Estimation for Monocular Endoscope with Loss Generalization. - Dongchen Huang, Yi-Feng Yang:
Learned Optimizers for Analytic Continuation. - Sayantini Majumdar, Riccardo Trivisonno, Georg Carle:
Q-Learning for Conflict Resolution in B5G Network Automation. - Chenhang He, Jianqiang Huang, Xian-Sheng Hua, Lei Zhang:
Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth. - Ahmad Hammoudeh, Sara Tedmori, Nadim Obeid:
A Reflection on Learning from Data: Epistemology Issues and Limitations. - Yanda Meng, Hongrun Zhang, Yitian Zhao, Xiaoyun Yang, Xuesheng Qian, Xiaowei Huang, Yalin Zheng:
Spatial Uncertainty-Aware Semi-Supervised Crowd Counting. - Germán Barquero, Isabelle Hupont, Carles Fernández Tena:
Rank-based verification for long-term face tracking in crowded scenes. - Mauro Dell'Amico, Roberto Montemanni, Stefano Novellani:
Benchmark Instances and Optimal Solutions for the Traveling Salesman Problem with Drone. - Yue Shi, Liangxiu Han, Anthony Kleerekoper, Sheng Chang, Tongle Hu:
A Novel CropdocNet for Automated Potato Late Blight Disease Detection from the Unmanned Aerial Vehicle-based Hyperspectral Imagery. - Libo Sun, Haokui Zhang, Wei Yin:
Pseudo-LiDAR Based Road Detection. - Tymofiy Gerasimov, Laura De Lorenzis:
Second-order phase-field formulations for anisotropic brittle fracture. - Cristina Bazgan, Katrin Casel, Pierre Cazals:
Dense Graph Partitioning on sparse and dense graphs. - Mohammed M. Abdelgwad:
Arabic aspect based sentiment analysis using BERT. - Haoye Tian, Yinghua Li, Weiguo Pian, Abdoul Kader Kaboré, Kui Liu, Jacques Klein, Tegawendé F. Bissyandé:
Checking Patch Behaviour against Test Specification. - Tobias Harks, Julian Schwarz:
Generalized Nash Equilibrium Problems with Mixed-Integer Variables. - Bang Xiang Yong, Tim Pearce, Alexandra Brintrup:
Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection. - Benno Kruit, Hongyu He, Jacopo Urbani:
Tab2Know: Building a Knowledge Base from Tables in Scientific Papers. - Mahdi Parizi, Mansor Nakhkash:
Introduction of a Novel MoM Solution for 2-D Source-type EFIE in MI Problems. - Michael Elkin, Chhaya Trehan:
$(1+ε)$-Approximate Shortest Paths in Dynamic Streams. - Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam:
Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks. - Marko Durasevic, Mateja Dumic:
Automated Design of Heuristics for the Container Relocation Problem. - Dmitry Pogrebnoy, Ivan Kuznetsov, Yaroslav Golubev, Vladislav Tankov, Timofey Bryksin:
Sorrel: an IDE Plugin for Managing Licenses and Detecting License Incompatibilities. - Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao:
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds. - Shen Peng, Gianpiero Canessa:
Chance constrained conic-segmentation support vector machine with uncertain data. - Simon Eismann, Diego Elias Costa, Lizhi Liao, Cor-Paul Bezemer, Weiyi Shang, André van Hoorn, Samuel Kounev:
A Case Study on the Stability of Performance Tests for Serverless Applications. - Eric Culf, Thomas Vidick:
A monogamy-of-entanglement game for subspace coset states. - Oriol Barbany Mayor, Vito Bellini, Alexander Buchholz, Giuseppe Di Benedetto, Diego Marco Granziol, Matteo Ruffini, Yannik Stein:
Ranker-agnostic Contextual Position Bias Estimation. - Tiphaine Viard, Henry Soldano, Guillaume Santini:
Exploring and mining attributed sequences of interactions. - Qiufu Li, Linlin Shen, Sheng Guo, Zhihui Lai:
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification. - Dimitris Fotakis, Panagiotis Kostopanagiotis, Vasileios Nakos, Georgios Piliouras, Stratis Skoulakis:
On the Approximability of Multistage Min-Sum Set Cover. - Alicia Curth, Mihaela van der Schaar:
Doing Great at Estimating CATE? On the Neglected Assumptions in Benchmark Comparisons of Treatment Effect Estimators. - Xiaodong Jia, Andre Kornell, Bert Lindenhovius, Michael W. Mislove, Vladimir Zamdzhiev:
Semantics for Variational Quantum Programming. - David Ruhe, Patrick Forré:
Self-Supervised Hybrid Inference in State-Space Models. - Yihong Yang, Sheng Ding, Yuwen Liu, Shunmei Meng, Xiaoxiao Chi, Rui Ma, Chao Yan:
Fast Wireless Sensor Anomaly Detection based on Data Stream in Edge Computing Enabled Smart Greenhouse. - Ashlesha Kumar, Kuldip Singh Sangwan, Dhiraj:
A Computer Vision-Based Approach for Driver Distraction Recognition using Deep Learning and Genetic Algorithm Based Ensemble. - Sreehari Rammohan, Shangqun Yu, Bowen He, Eric Hsiung, Eric Rosen, Stefanie Tellex, George Konidaris:
Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings. - Yu Huang, Gary G. Yen, Vincent S. Tseng:
Snippet Policy Network for Multi-class Varied-length ECG Early Classification. - Mariella Dimiccoli, Lluís Garrido, Guillem Rodríguez Corominas, Herwig Wendt:
Graph Constrained Data Representation Learning for Human Motion Segmentation. - Xiaotie Deng, Yotam Gafni, Ron Lavi, Tao Lin, Hongyi Ling:
From Monopoly to Competition: Optimal Contests Prevail. - Yang Chen, Diego Paez-Granados, Bruno Leme, Kenji Suzuki:
Virtual Landmark-Based Control of Docking Support for Assistive Mobility Devices. - Hongping Zhang, Zhenfeng Shao, Bin Hua, Xiao Huang, Jinqi Zhao, Wenfu Wu, Yewen Fan:
Evaluating the weight sensitivity in AHP-based flood risk estimation models. - Samira Attou, Ludovic Mignot, Djelloul Ziadi:
Bottom-Up Derivatives of Tree Expressions. - Gianfranco Nencioni, Rosario Giuseppe Garroppo, Ruxandra F. Olimid:
5G Multi-access Edge Computing: Security, Dependability, and Performance. - Michael Henry Tessler, Pedro A. Tsividis, Jason Madeano, Brin Harper, Joshua B. Tenenbaum:
Growing knowledge culturally across generations to solve novel, complex tasks. - Patrick Feeney, Michael C. Hughes:
Evaluating the Use of Reconstruction Error for Novelty Localization. - Mohammadreza Soltaniyeh, Richard P. Martin, Santosh Nagarakatte:
SPOTS: An Accelerator for Sparse CNNs Leveraging General Matrix-Matrix Multiplication. - Rindra Ramamonjison, Amin Banitalebi-Dehkordi, Xinyu Kang, Xiaolong Bai, Yong Zhang:
SimROD: A Simple Adaptation Method for Robust Object Detection. - Slawomir Konrad Tadeja, Krzysztof Kutt, Yupu Lu, Pranay Seshadri, Grzegorz J. Nalepa, Per Ola Kristensson:
Jarvis for Aeroengine Analytics: A Speech Enhanced Virtual Reality Demonstrator Based on Mining Knowledge Databases. - James Patrick-Evans, Moritz Dannehl, Johannes Kinder:
XFL: eXtreme Function Labeling. - Emanuele Lattanzi, Lorenzo Calisti, Valerio Freschi:
Automatic Unstructured Handwashing Recognition using Smartwatch to Reduce Contact Transmission of Pathogens. - Ivan Rodin, Antonino Furnari, Dimitrios Mavroeidis, Giovanni Maria Farinella:
Predicting the Future from First Person (Egocentric) Vision: A Survey. - Michael Fauß, Manuel S. Stein, H. Vincent Poor:
On Optimal Quantization in Sequential Detection. - Nathalie Ayi, Maxime Herda, Hélène Hivert, Isabelle Tristani:
On a structure-preserving numerical method for fractional Fokker-Planck equations. - Yuan Liu, Sida Peng, Lingjie Liu, Qianqian Wang, Peng Wang, Christian Theobalt, Xiaowei Zhou, Wenping Wang:
Neural Rays for Occlusion-aware Image-based Rendering. - Guangliang Pan, Zitong Liu, Wei Wang, Minglei Li:
A Signal Detection Scheme Based on Deep Learning in OFDM Systems. - Mi Zhang, Tieyun Qian:
Multi-Scale Feature and Metric Learning for Relation Extraction. - Buyang Li, Shu Ma, Katharina Schratz:
A semi-implicit low-regularity integrator for Navier-Stokes equations. - Weixia Zhang, Kede Ma, Guangtao Zhai, Xiaokang Yang:
Task-Specific Normalization for Continual Learning of Blind Image Quality Models. - Mario Alvarez-Picallo, Dan R. Ghica, David Sprunger, Fabio Zanasi:
Functorial String Diagrams for Reverse-Mode Automatic Differentiation. - Zhenwen Liang, Jipeng Zhang, Jie Shao, Xiangliang Zhang:
MWP-BERT: A Strong Baseline for Math Word Problems. - Temirlan Kalimzhanov, Amir Haji Ali Khamseh'i, Aresh Dadlani, Muthukrishnan Senthil Kumar, Ahmad Khonsari:
Co-evolution of Rumor Diffusion and Structural Stability in Signed Social Networks. - Evgeny Bobrov, Dmitry Kropotov, Sergey Troshin, Danila Zaev:
Finding Better Precoding in Massive MIMO using Optimization Approach. - Giuseppe Belgioioso, Wicak Ananduta, Sergio Grammatico, Carlos Ocampo-Martinez:
Operationally-Safe Peer-to-Peer Energy Trading in Distribution Grids: A Game-Theoretic Market-Clearing Mechanism. - Qing Guo, Zhijie Wang, Felix Juefei-Xu, Di Lin, Lei Ma, Wei Feng, Yang Liu:
CarveNet: Carving Point-Block for Complex 3D Shape Completion. - Vince I. Madai, David C. Higgins:
Artificial Intelligence in Healthcare: Lost In Translation? - Hanxiao Tan, Helena Kotthaus:
Surrogate Model-Based Explainability Methods for Point Cloud NNs. - Ignacio Carlucho, Manuel F. Bailey, Mariano De Paula, Corina Barbalata:
Marine Vehicles Localization Using Grid Cells for Path Integration. - Maximilian Weiherer, Andreas Eigenberger, Vanessa Brébant, Lukas Prantl, Christoph Palm:
Learning the shape of female breasts: an open-access 3D statistical shape model of the female breast built from 110 breast scans. - Ti Bai, Anjali Balagopal, Michael Dohopolski, Howard E. Morgan, Rafe McBeth, Jun Tan, Mu-Han Lin, David J. Sher, Dan Nguyen, Steve B. Jiang:
A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision. - Xiaofeng Liu, Site Li, Yubin Ge, Pengyi Ye, Jane You, Jun Lu:
Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation. - Xiaofeng Liu, Zhenhua Guo, Site Li, Fangxu Xing, Jane You, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate. - Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Claudio Pomo:
Reenvisioning Collaborative Filtering vs Matrix Factorization. - Elizabeth Polgreen, Andrew Reynolds, Sanjit A. Seshia:
Satisfiability and Synthesis Modulo Oracles. - Annika Hagemann, Moritz Knorr, Holger Janssen, Christoph Stiller:
Inferring bias and uncertainty in camera calibration. - Alex Kale, Yifan Wu, Jessica Hullman:
Causal Support: Modeling Causal Inferences with Visualizations. - Cícero Carvalho, Victor G. L. Neumann:
A family of codes with variable locality and availability. - Lorenz Kummer, Kevin Sidak, Tabea Reichmann, Wilfried N. Gansterer:
MARViN - Multiple Arithmetic Resolutions Vacillating in Neural Networks. - Ettore Merlo, Mira Marhaba, Foutse Khomh, Houssem Ben Braiek, Giuliano Antoniol:
Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases. - Fabien Tricoire:
BROUTE: a benchmark suite for the implementation of standard vehicle routing algorithms. - Emily A. Reed, Guilherme Ramos, Paul Bogdan, Sérgio Pequito:
Minimum Structural Sensor Placement for Switched Linear Time-Invariant Systems and Unknown Inputs. - Mihai-Alin Badiu, Justin P. Coon:
Structural Complexity of One-Dimensional Random Geometric Graphs. - Cheng Zhang, Jinwoo Kim, Jungho Jeon, Jinding Xing, Changbum R. Ahn, Pingbo Tang, Hubo Cai:
Toward Integrated Human-machine Intelligence for Civil Engineering: An Interdisciplinary Perspective. - Nick Brown:
Accelerating advection for atmospheric modelling on Xilinx and Intel FPGAs. - Deepika Saxena, Ishu Gupta, Jitendra Kumar, Ashutosh Kumar Singh, Xiaoqing Wen:
A Secure and Multi-objective Virtual Machine Placement Framework for Cloud Data Centre. - Songtao Peng, Xincheng Shu, Zhongyuan Ruan, Zegang Huang, Qi Xuan:
Inferring Multiple Relationships between ASes using Graph Convolutional Network. - Guangyi Zhang, Ali Etemad:
Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition. - Bassam Helou, Aditya Dusi, Anne Collin, Noushin Mehdipour, Zhiliang Chen, Cristhian Lizarazo, Calin Belta, Tichakorn Wongpiromsarn, Radboud J. Duintjer Tebbens, Oscar Beijbom:
The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior. - Maryam Habibpour, Hassan Gharoun, Mohammadreza Mehdipour, AmirReza Tajally, Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Abbas Khosravi, Miadreza Shafie-Khah, Saeid Nahavandi, João P. S. Catalão:
Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning. - Upol Ehsan, Samir Passi, Q. Vera Liao, Larry Chan, I-Hsiang Lee, Michael J. Muller, Mark O. Riedl:
The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations. - Tao Hu, Chengjiang Long, Chunxia Xiao:
CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation. - Jorge Ramírez, Burcu Sayin, Marcos Báez, Fabio Casati, Luca Cernuzzi, Boualem Benatallah, Gianluca Demartini:
On the state of reporting in crowdsourcing experiments and a checklist to aid current practices. - Bhavesh Lakhotia:
Exponentiation Using Laplace Expansion. - Reza Gholami, Parinaz Naseri, Piero Triverio, Sean V. Hum:
An Efficient Integral Equation Method for Full-wave Analysis of Inhomogeneous Electromagnetic Surfaces with Connected Conductors. - Edward Caunt:
Spatially-optimized finite-difference schemes for numerical dispersion suppression in seismic applications. - Xinshuai Dong, Anh Tuan Luu, Rongrong Ji, Hong Liu:
Towards Robustness Against Natural Language Word Substitutions. - Nicola Anselmi, Paolo Rocca, S. Feuchtinger, B. Biscontini, A. M. Barrera, Andrea Massa:
Optimal Capacity-Driven Design of Aperiodic Clustered Phased Arrays for Multi-User MIMO Communication Systems. - Charles Sun, Jedrzej Orbik, Coline Devin, Brian H. Yang, Abhishek Gupta, Glen Berseth, Sergey Levine:
ReLMM: Practical RL for Learning Mobile Manipulation Skills Using Only Onboard Sensors. - Chirag Raman, Hayley Hung, Marco Loog:
Social Processes: Self-Supervised Forecasting of Nonverbal Cues in Social Conversations. - Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig:
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing. - Chengkuan Chen, Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Andrew J. Schaumberg, Faisal Mahmood:
Fast and Scalable Image Search For Histology. - Erida Nurce, Jorgel Keci, Leon Derczynski:
Detecting Abusive Albanian. - Bruno Pedraça de Souza, Guilherme Horta Travassos:
SCENARIOTCHECK: A Checklist-based Reading Technique for the Verification of IoT Scenarios. - Sai Saketh Rambhatla, Michael Jones, Rama Chellappa:
To Boost or not to Boost: On the Limits of Boosted Neural Networks. - Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick S. H. Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Wen-tau Yih, Sonal Gupta, Yashar Mehdad:
Domain-matched Pre-training Tasks for Dense Retrieval. - Nicolás García Trillos, Pengfei He, Chenghui Li:
Large sample spectral analysis of graph-based multi-manifold clustering. - Eduardo Camps-Moreno, Elisa Gorla, Cristina Landolina, Elisa Lorenzo García, Umberto Martínez-Peñas, Flavio Salizzoni:
Optimal anticodes, MSRD codes, and generalized weights in the sum-rank metric. - Hadhemi Jebnoun, Md. Saidur Rahman, Foutse Khomh, Biruk Asmare Muse:
Clones in Deep Learning Code: What, Where, and Why? - Carlos Lordelo, Emmanouil Benetos, Simon Dixon, Sven Ahlbäck:
Pitch-Informed Instrument Assignment Using a Deep Convolutional Network with Multiple Kernel Shapes. - Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas:
A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming. - William Paul, Philippe Burlina:
Generalizing Fairness: Discovery and Mitigation of Unknown Sensitive Attributes. - Sindi Shkodrani, Yu Wang, Marco Manfredi, Nóra Baka:
United We Learn Better: Harvesting Learning Improvements From Class Hierarchies Across Tasks. - Tomasz Luczynski, Jonatan Scharff Willners, Elizabeth Vargas, Joshua Roe, Shida Xu, Yu Cao, Yvan R. Petillot, Sen Wang:
Underwater inspection and intervention dataset. - Chun-Han Yao, Wei-Chih Hung, Varun Jampani, Ming-Hsuan Yang:
Discovering 3D Parts from Image Collections. - Yunian Pan, Quanyan Zhu:
Efficient Episodic Learning of Nonstationary and Unknown Zero-Sum Games Using Expert Game Ensembles. - Sabah Al-Fedaghi:
Beyond SDLC: Process Modeling and Documentation Using Thinging Machines. - Manolis Fragkiadakis, Peter van der Putten:
Sign and Search: Sign Search Functionality for Sign Language Lexica. - Sebastian Berndt, Max A. Deppert, Klaus Jansen, Lars Rohwedder:
Load Balancing: The Long Road from Theory to Practice. - Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang:
Imbalanced Adversarial Training with Reweighting. - Amit Chaulwar, Michael Huth:
Secure Bayesian Federated Analytics for Privacy-Preserving Trend Detection. - Tommaso Adamo, Gianpaolo Ghiani, Pier Paolo Greco, Emanuela Guerriero:
Learned upper bounds for the Time-Dependent Travelling Salesman Problem. - Ahmed Elhagry, Mohamed Saeed, Musie Araia:
Lighter Stacked Hourglass Human Pose Estimation. - Mattia Medina Grespan, Ashim Gupta, Vivek Srikumar:
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study. - Ahmed Elhagry, Rawan Gla:
Egyptian Sign Language Recognition Using CNN and LSTM. - Michail Tsiaousis, Gertjan J. Burghouts, Fieke Hillerström, Peter van der Putten:
Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection. - Tejas Shah, Bobbi Yogatama, Kyle Roarty, Rami Dahman:
Reuse Cache for Heterogeneous CPU-GPU Systems. - Disha Kamale, Eleni Karyofylli, Cristian-Ioan Vasile:
Automata-based Optimal Planning with Relaxed Specifications. - Marcin Iwanowski, Marcin Grzabka:
Similarity and symmetry measures based on fuzzy descriptors of image objects' composition. - Koushik Roy, Abtahi Ishmam, Kazi Abu Taher:
Demand Forecasting in Smart Grid Using Long Short-Term Memory. - Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell:
Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information. - Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyla, Sophia Ananiadou:
Investigating Text Simplification Evaluation. - Wei-Chang Yeh:
Novel Direct Algorithm for Computing Simultaneous All-Levels Reliability of Multi-state Flow Networks. - Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava:
Learning User-Interpretable Descriptions of Black-Box AI System Capabilities. - Wei Han, Hui Chen, Alexander F. Gelbukh, Amir Zadeh, Louis-Philippe Morency, Soujanya Poria:
Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis. - Sebastian Raschka:
Deeper Learning By Doing: Integrating Hands-On Research Projects Into a Machine Learning Course. - Jaime D. Acevedo-Viloria, Luisa Roa, Soji Adeshina, Cesar Charalla Olazo, Andrés Rodríguez-Rey, Jose Alberto Ramos, Alejandro Correa Bahnsen:
Relational Graph Neural Networks for Fraud Detection in a Super-App environment. - Ho-Lin Chen, David Doty, David Soloveichik, Wyatt Reeves:
Rate-Independent Computation in Continuous Chemical Reaction Networks. - John Willes, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone, Steven Lake Waslander:
Bayesian Embeddings for Few-Shot Open World Recognition. - Shuangyong Song:
An Online Question Answering System based on Sub-graph Searching. - Yichun Yin, Cheng Chen, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu:
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models. - Kaylea Champion, Sejal Khatri, Benjamin Mako Hill:
Qualities of Quality: A Tertiary Review of Software Quality Measurement Research. - Yui Oka, Katsuhito Sudoh, Satoshi Nakamura:
Using Perturbed Length-aware Positional Encoding for Non-autoregressive Neural Machine Translation. - Zhiyuan Ren, Yaohai Zhou, Yizhe Chen, Ruisong Zhou, Yayu Gao:
Efficient Human Pose Estimation by Maximizing Fusion and High-Level Spatial Attention. - Ge Chen, Gaoxiong Zeng, Li Chen:
P4COM: In-Network Computation with Programmable Switches. - Lenore Blum, Manuel Blum:
A Theory of Consciousness from a Theoretical Computer Science Perspective: Insights from the Conscious Turing Machine. - Luchuan Song, Bin Liu, Huihui Zhu, Qi Chu, Nenghai Yu:
Abnormal Behavior Detection Based on Target Analysis. - Ellen Arteca, Max Schäfer, Frank Tip:
Learning how to listen: Automatically finding bug patterns in event-driven JavaScript APIs. - Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu:
Hierarchical Self-supervised Augmented Knowledge Distillation. - Juntong Su, Bingchen Jin, Shusheng Ye, Lecheng Ruan, Caiming Sun, Ning Ding, Yili Fu, Jianwen Luo:
Maximize the Foot Clearance for a Hopping Robotic Leg Considering Motor Saturation. - Kun Zhao, Luchuan Song, Bin Liu, Qi Chu, Nenghai Yu:
Cascaded Residual Density Network for Crowd Counting. - Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen:
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection. - Roland Croft, Yongzheng Xie, Mansooreh Zahedi, Muhammad Ali Babar, Christoph Treude:
An Empirical Study of Developers' Discussions about Security Challenges of Different Programming Languages. - Satya R. T. Peddada, Nathan M. Dunfield, Lawrence E. Zeidner, Kai A. James, James T. Allison:
Systematic Enumeration and Identification of Unique Spatial Topologies of 3D Systems Using Spatial Graph Representations. - Chongyang Bai, Xiaoxue Zang, Ying Xu, Srinivas Sunkara, Abhinav Rastogi, Jindong Chen, Blaise Agüera y Arcas:
UIBert: Learning Generic Multimodal Representations for UI Understanding. - Desmond C. Ong:
An Ethical Framework for Guiding the Development of Affectively-Aware Artificial Intelligence. - Nathan Partlan, Erica Kleinman, Jim Howe, Sabbir Ahmad, Stacy Marsella, Magy Seif El-Nasr:
Design-Driven Requirements for Computationally Co-Creative Game AI Design Tools. - Jizong Peng, Ping Wang, Christian Desrosiers, Marco Pedersoli:
Self-Paced Contrastive Learning for Semi-supervisedMedical Image Segmentation with Meta-labels. - Fariborz Taherkhani, Veeru Talreja, Jeremy M. Dawson, Matthew C. Valenti, Nasser M. Nasrabadi:
Profile to Frontal Face Recognition in the Wild Using Coupled Conditional GAN. - Hikmat Farhat, Veronica Rammouz:
Malware Classification Using Transfer Learning. - Sina Shaham, Gabriel Ghinita, Ritesh Ahuja, John Krumm, Cyrus Shahabi:
HTF: Homogeneous Tree Framework for Differentially-Private Release of Location Data. - Zhizhong Chen, Carsten Eickhoff:
The Cross-Lingual Arabic Information REtrieval (CLAIRE) System. - Zhizhong Chen, Carsten Eickhoff:
ExpertRank: A Multi-level Coarse-grained Expert-based Listwise Ranking Loss. - I Wayan Budi Sentana, Muhammad Ikram, Mohamed Ali Kâafar, Shlomo Berkovsky:
Empirical Security and Privacy Analysis of Mobile Symptom Checking Applications on Google Play. - Jiali Duan, C.-C. Jay Kuo:
Bridging Gap between Image Pixels and Semantics via Supervision: A Survey. - Nickson M. Karie, Craig Valli:
Digital Forensic Readiness Implementation in SDN: Issues and Challenges. - Yu-Cheng Hsu, Qingpeng Zhang, Efstratios Tsougenis, Kwok-Leung Tsui:
Viewpoint-Invariant Exercise Repetition Counting. - Robert E. Mahony:
A Novel Passivity-Based Trajectory Tracking Control For Conservative Mechanical Systems. - Ankush Chopra, Sohom Ghosh:
Term Expansion and FinBERT fine-tuning for Hypernym and Synonym Ranking of Financial Terms. - Amir Mazaheri, Mubarak Shah:
Video Generation from Text Employing Latent Path Construction for Temporal Modeling. - Dorina Weichert, Alexander Kister:
Bayesian Optimization for Min Max Optimization. - Yan Lu, Xinzhu Ma, Lei Yang, Tianzhu Zhang, Yating Liu, Qi Chu, Junjie Yan, Wanli Ouyang:
Geometry Uncertainty Projection Network for Monocular 3D Object Detection. - Yunfei Liu, Ruicong Liu, Haofei Wang, Feng Lu:
Generalizing Gaze Estimation with Outlier-guided Collaborative Adaptation. - Anil Rahate, Rahee Walambe, Sheela Ramanna, Ketan Kotecha:
Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions. - Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt:
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows. - Gaurav Gupta, Chenzhong Yin, Jyotirmoy V. Deshmukh, Paul Bogdan:
Non-Markovian Reinforcement Learning using Fractional Dynamics. - Michael Neunteufel, Joachim Schöberl, Kevin Sturm:
Numerical shape optimization of the Canham-Helfrich-Evans bending energy. - Xiaodian Cheng, Wanhang Lu, Xinyang Huang, Shuihai Hu, Kai Chen:
HAFLO: GPU-Based Acceleration for Federated Logistic Regression. - Jianwen Luo, Zheng Wang, Chaoyang Song, H. Harry Asada, Chenglong Fu:
Mapping Human Muscle Force to Supernumerary Robotics Device for Overhead Task Assistance. - Tianxiao Gao, Wu Wei, Zhongbin Cai, Zhun Fan, Shane S. Q. Xie, Xinmei Wang, Qiuda Yu:
CI-Net: Contextual Information for Joint Semantic Segmentation and Depth Estimation. - Pranav Venkatram:
A New Lossless Data Compression Algorithm Exploiting Positional Redundancy. - Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Baobei Xu, Jun Li, Jian Yang:
RigNet: Repetitive Image Guided Network for Depth Completion. - Shiming Chen, Wenjie Wang, Beihao Xia, Qinmu Peng, Xinge You, Feng Zheng, Ling Shao:
FREE: Feature Refinement for Generalized Zero-Shot Learning. - Alexey Barsukov, Mamadou Moustapha Kanté:
Generalisations of Matrix Partitions : Complexity and Obstructions. - Staas de Jong, Jeroen Jillissen, Dünya Kirkali, Alwin de Rooij, Hanna Schraffenberger, Arnout Terpstra:
One-press control: a tactile input method for pressure-sensitive computer keyboards. - Yangyang Xu, Yong Du, Wenpeng Xiao, Xuemiao Xu, Shengfeng He:
From Continuity to Editability: Inverting GANs with Consecutive Images. - Robert Cummings, Jeffrey O. Shallit, Paul Staadecker:
Mesosome Avoidance. - Haodi Ping, Yongcai Wang, Deying Li:
DCG: Distributed Conjugate Gradient for Efficient Linear Equations Solving. - Staas de Jong:
Presenting the cyclotactor project. - Florian Bachinger, Gabriel Kronberger:
Concept for a Technical Infrastructure for Management of Predictive Models in Industrial Applications. - Erik Esche, Torben Talis, Joris Weigert, Gerardo Brand-Rihm, Byungjun You, Christian Hoffmann, Jens-Uwe Repke:
Semi-supervised Learning for Data-driven Soft-sensing of Biological and Chemical Processes. - Zeyu Hu, Xuyang Bai, Jiaxiang Shang, Runze Zhang, Jiayu Dong, Xin Wang, Guangyuan Sun, Hongbo Fu, Chiew-Lan Tai:
VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation. - Staas de Jong:
Kinetic surface friction rendering for interactive sonification: an initial exploration. - Torben Talis, Joris Weigert, Erik Esche, Jens-Uwe Repke:
Adaptive Sampling of Dynamic Systems for Generation of Fast and Accurate Surrogate Models. - Shyamali Mitra, Sayantan Banerjee, Mrinal Kanti Naskar:
ReCo1: A Fault resilient technique of Correlation Sensitive Stochastic Designs. - Prerak Srivastava, Antoine Deleforge, Emmanuel Vincent:
Blind Room Parameter Estimation Using Multiple-Multichannel Speech Recordings. - Gali Sheffi, Maurice Herlihy, Erez Petrank:
VBR: Version Based Reclamation. - Zhongyi Zhou, Anran Xu, Koji Yatani:
SyncUp: Vision-based Practice Support for Synchronized Dancing. - Kan Zhong, Wenlin Cui, Youyou Lu, Quanzhang Liu, Xiaodan Yan, Qizhao Yuan, Siwei Luo, Keji Huang:
Revisiting Swapping in User-space with Lightweight Threading. - Antti Aitio, David A. Howey:
Predicting battery end of life from solar off-grid system field data using machine learning. - François Golse, Olivier Pironneau:
Stratified Radiative Transfer for Multidimensional Fluids. - David Megías, Daniel Lerch-Hostalot:
Subsequent embedding in image steganalysis: Theoretical framework and practical applications. - Xin-Long Luo, Hang Xiao:
Quasi-genetic algorithms and continuation Newton methods with deflation techniques for global optimization problems. - Ali Murat Demirtas, Mehmet Saygin Seyfioglu, Irem Bor-Yaliniz, Bülent Tavli, Halim Yanikomeroglu:
Autonomous UAV Base Stations for Next Generation Wireless Networks: A Deep Learning Approach. - Pejman Zarafshan, Saman Javadi, Abbas Roozbahani, Seyed Mehdi Hashemy, Payam Zarafshan, Hamed Etezadi:
Artificial Intelligence Hybrid Deep Learning Model for Groundwater Level Prediction Using MLP-ADAM. - Jelena Simeunovic, Baptiste Schubnel, Pierre-Jean Alet, Rafael E. Carrillo:
Spatio-temporal graph neural networks for multi-site PV power forecasting. - Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality. - Susanne Arndt, Patrick Ion, Mila Runnwerth, Moritz Schubotz, Olaf Teschke:
10 Years Later: The Mathematics Subject Classification and Linked Open Data. - Myles Morelli, Tommaso Bellosta, Alberto Guardone:
Efficient Radial Basis Function Mesh Deformation Methods for Aircraft Icing. - Matas Dijokas, Danilo Obradovic, Georgios S. Misyris, Tilman Weckesser, Thierry Van Cutsem:
Frequency dynamics of the Northern European AC/DC power system: a look-ahead study. - Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas N. Diggavi:
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning. - Myles Morelli, Tommaso Bellosta, Alberto Guardone:
Development and Preliminary Assessment of the Open-Source CFD toolkit SU2 for Rotorcraft Flows. - Denivan Campos, Larissa Rocha Soares, Ivan Machado:
Developers perception on the severity of test smells: an empirical study. - Wenhang Ge, Chunyan Pan, Ancong Wu, Hongwei Zheng, Wei-Shi Zheng:
Cross-Camera Feature Prediction for Intra-Camera Supervised Person Re-identification across Distant Scenes. - Jianfang Lin, Yan Yu, Huiwen Xue, Xinghui Zhong:
High order finite difference WENO methods with unequal-sized sub-stencils for the Degasperis-Procesi type equations. - Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao:
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. - Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang:
Machine Learning over Static and Dynamic Relational Data. - Yinmin Zhang, Xinzhu Ma, Shuai Yi, Jun Hou, Zhihui Wang, Wanli Ouyang, Dan Xu:
Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection. - Mor Geva, Tomer Wolfson, Jonathan Berant:
Break, Perturb, Build: Automatic Perturbation of Reasoning Paths through Question Decomposition. - Maximilian T. Fischer, Alexander Frings, Daniel A. Keim, Daniel Seebacher:
Towards a Survey on Static and Dynamic Hypergraph Visualizations. - Vladimir Loginov:
Why You Should Try the Real Data for the Scene Text Recognition. - Akhilesh Pai, James Harold Davenport:
ATLAS: Interactive and Educational Linear Algebra System Containing Non-Standard Methods. - Adam Elwood, Alberto Gasparin, Alessandro Rozza:
Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable Framework. - Ashkan B. Jeddi, Nariman L. Dehghani, Abdollah Shafieezadeh:
Lyapunov-based uncertainty-aware safe reinforcement learning. - Mikolaj Bojanczyk:
Separator logic and star-free expressions for graphs. - Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar:
Demystifying Neural Language Models' Insensitivity to Word-Order. - Pavlos Fafalios, Konstantina Konsolaki, Lida Charami, Kostas Petrakis, Manos Paterakis, Dimitris Angelakis, Yannis Tzitzikas, Chryssoula Bekiari, Martin Doerr:
Towards Semantic Interoperability in Historical Research: Documenting Research Data and Knowledge with Synthesis. - Bo Zhou, Yuqian Lv, Yongchao Mao, Jinhuan Wang, Shanqing Yu, Qi Xuan:
The Robustness of Graph k-shell Structure under Adversarial Attacks. - Erkin Ötles, Jeeheh Oh, Benjamin Li, Michelle Bochinski, Hyeon Joo, Justin Ortwine, Erica Shenoy, Laraine Washer, Vincent B. Young, Krishna Rao, Jenna Wiens:
Mind the Performance Gap: Examining Dataset Shift During Prospective Validation. - Hoe-Han Goh:
Artificial Intelligence in Achieving Sustainable Development Goals. - Yu Fu, Tianyang Xu, Xiaojun Wu, Josef Kittler:
PPT Fusion: Pyramid Patch Transformerfor a Case Study in Image Fusion. - Allen Flickinger, Carl Klatsky, Atahualpa Ledesma, Jason Livingood, Sebnem Ozer:
Improving Latency with Active Queue Management (AQM) During COVID-19. - Sri Harsha Dumpala, Sebastian Rodriguez, Sheri Rempel, Rudolf Uher, Sageev Oore:
Significance of Speaker Embeddings and Temporal Context for Depression Detection. - Farha Al Breiki, Muhammad Ridzuan, Rushali Grandhe:
Self-Supervised Learning for Fine-Grained Image Classification. - Nils Kürbis:
A Sketch of a Proof-Theoretic Semantics for Necessity. - Jörg Stork, Philip Wenzel, Severin Landwein, María-Elena Algorri, Martin Zaefferer, Wolfgang Kusch, Martin Staubach, Thomas Bartz-Beielstein, Hartmut Köhn, Hermann Dejager, Christian Wolf:
Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs. - Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Feng Mao, Ming-Ming Cheng:
Personalized Image Semantic Segmentation. - Margaret P. Chapman, Kevin M. Smith:
Classical Risk-Averse Control for Finite-Horizon Borel Models. - Etienne Victor Depasquale, Humaira Abdul Salam, Franco Davoli:
PAD: a graphical and numerical enhancement of structural coding to facilitate thematic analysis of a literature corpus. - Leon Andretti Abdillah:
Web-Based Learning. - Alexandre Gomes de Siqueira, Arlindo Flávio da Conceição, Vladimir Rocha:
User-Centric Health Data Using Self-sovereign Identities. - Yifan Qiao, Xubin Chen, Ning Zheng, Jiangpeng Li, Yang Liu, Tong Zhang:
Closing the B-tree vs. LSM-tree Write Amplification Gap on Modern Storage Hardware with Built-in Transparent Compression. - Nils Kürbis:
Proof-Theoretic Semantics, a Problem with Negation and Prospects for Modality. - Wenkang Shan, Haopeng Lu, Shanshe Wang, Xinfeng Zhang, Wen Gao:
Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose Estimation. - Michael J. Lyons:
"Excavating AI" Re-excavated: Debunking a Fallacious Account of the JAFFE Dataset. - Luyu Qiu, Yi Yang, Caleb Chen Cao, Jing Liu, Yueyuan Zheng, Hilary Hei Ting Ngai, Janet H. Hsiao, Lei Chen:
Resisting Out-of-Distribution Data Problem in Perturbation of XAI. - Francesco Foscarin, Nicolas Audebert, Raphaël Fournier-S'niehotta:
PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation. - Jonathan C. Roberts, Peter W. S. Butcher, Ann Sherlock, Sarah Nason:
Explanatory Journeys: Visualising to Understand and Explain Administrative Justice Paths of Redress. - Stephen L. France, Mahyar Sharif Vaghefi, Brett Kazandjian:
Who Owns the Data? A Systematic Review at the Boundary of Information Systems and Marketing. - Chenkai Xu, Yaqi He, Hui Hu, Hongwei Lin:
Stochastic Geometric Iterative Method for Loop Subdivision Surface Fitting. - Will Trojak, Rob Watson, Freddie D. Witherden:
Hyperbolic Diffusion in Flux Reconstruction: Optimisation through Kernel Fusion within Tensor-Product Elements. - Agni Kumar, Vikramjit Mitra, Carolyn Oliver, Adeeti Ullal, Matt Biddulph, Irida Mance:
Estimating Respiratory Rate From Breath Audio Obtained Through Wearable Microphones. - Carsten Vogel, Johannes Schobel, Winfried Schlee, Milena Engelke, Rüdiger Pryss:
UNITI Mobile - EMI-Apps for a Large-Scale European Study on Tinnitus. - Bo Lin, Bissan Ghaddar, Ada Hurst:
Text Mining Undergraduate Engineering Programs' Applications: the Role of Gender, Nationality, and Socio-economic Status. - Mike Wu, Noah D. Goodman, Chris Piech, Chelsea Finn:
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback. - Nguyen Hoang Tran, Abhaya C. Nayak:
Self-Driving Cars and Driver Alertness. - G. Jignesh Chowdary, Suganya G, Premalatha M, Y. Asnath Victy Phamila, Karunamurthy K:
Machine Learning and Deep Learning Methods for Building Intelligent Systems in Medicine and Drug Discovery: A Comprehensive Survey. - Olivier Koster, Ruud Kosman, Joost Visser:
A Checklist for Explainable AI in the Insurance Domain. - Quoc-Viet Pham, Dinh C. Nguyen, Thien Huynh-The, Won-Joo Hwang, Pubudu N. Pathirana:
Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts. - Fabrice Lartigou, Michael Govorov, Tofiga Aisake, Pankajeshwara N. Sharma:
Interactive GIS Web-Atlas for Twelve Pacific Islands Countries. - Alexis T. Baria, Keith Cross:
The brain is a computer is a brain: neuroscience's internal debate and the social significance of the Computational Metaphor. - Endang Mulyatiningsih, Sri Palupi, Prihastuti Ekawatiningsih, Ambar Rizqi Firdausa:
The Characteristics of Enjoyable Online Learning for Culinary Arts Student. - Ramya Akula, Ivan Garibay:
Ethical AI for Social Good. - Ramya Akula, Ivan Garibay:
Audit and Assurance of AI Algorithms: A framework to ensure ethical algorithmic practices in Artificial Intelligence. - Anupam Khan, Sourav Ghosh, Soumya K. Ghosh:
Measuring Domain Knowledge for Early Prediction of Student Performance: A Semantic Approach. - Laurent Kloeker, Amarin Kloeker, Fabian Thomsen, Armin Erraji, Lutz Eckstein, Serge Lamberty, Adrian Fazekas, Eszter Kalló, Markus Oeser, Charlotte Fléchon, Jochen Lohmiller, Pascal Pfeiffer, Martin Sommer, Helen Winter:
Corridor for new mobility Aachen-Düsseldorf: Methods and concepts of the research project ACCorD. - Taiwo Adetiloye:
Collaboration Planning of Stakeholders for Sustainable City Logistics Operations. - Ali Shahaab, Chaminda Hewage, Imtiaz A. Khan:
Preventing Spoliation of Evidence with Blockchain: A Perspective from South Asia. - Xinyu Gao, Yi Li, Yanqing Qiu, Bangning Mao, Miaogen Chen, Yanlong Meng, Chunliu Zhao, Juan Kang, Yong Guo, Changyu Shen:
Improvement of image classification by multiple optical scattering. - Susan von Struensee:
The Role of Social Movements, Coalitions, and Workers in Resisting Harmful Artificial Intelligence and Contributing to the Development of Responsible AI. - Eugene Lee, Cheng-Han Huang, Chen-Yi Lee:
Few-Shot and Continual Learning with Attentive Independent Mechanisms. - Giacomo Albi, Roberto Chignola, Federica Ferrarese:
Efficient stochastic algorithms for agent-based models with predator-prey dynamics. - Jing Ma, Yiyang Sun, Junjie Liu, Huaxiong Huang, Xiaoshuang Zhou, Shixin Xu:
Multi-objective optimization and explanation for stroke risk assessment in Shanxi province. - Aditya Jyoti Paul:
The Need and Status of Sea Turtle Conservation and Survey of Associated Computer Vision Advances. - Leonardo F. S. Scabini, Odemir M. Bruno:
Structure and Performance of Fully Connected Neural Networks: Emerging Complex Network Properties. - Gregory Falco, Paul Cornish, Sadie Creese, Madeline Carr, Myriam Dunn Cavelty, Claudia Eckert, Herbert Lin, Gen Goto, Jamie Saunders, Andrew Grotto, Howard E. Shrobe, Sean Kanuck, Lawrence Susskind, Arvind Parthasarathi:
Cyber Crossroads: A Global Research Collaborative on Cyber Risk Governance. - Bernhard Maier, Barbara Verfürth:
Numerical upscaling for wave equations with time-dependent multiscale coefficients. - Aditya Jyoti Paul, Smaranjit Ghose, Kanishka Aggarwal, Niketha Nethaji, Shivam Pal, Arnab Dutta Purkayastha:
Machine Learning Advances aiding Recognition and Classification of Indian Monuments and Landmarks. - David S. LeBauer, Maxwell Burnette, Noah Fahlgren, Rob Kooper, Kenton McHenry, Abby Stylianou:
What Does TERRA-REF's High Resolution, Multi Sensor Plant Sensing Public Domain Data Offer the Computer Vision Community? - Soraia Oueida, Soaad Hossain, Yehia Kotb, Syed Ishtiaque Ahmed:
A Fair and Ethical Healthcare Artificial Intelligence System for Monitoring Driver Behavior and Preventing Road Accidents. - Adib Mohammed Syed:
Social engineering: Concepts, Techniques and Security Countermeasures. - Nikhil Woodruff, Amir Enshaei, Bashar Awwad Shiekh Hasan:
Fully-Automatic Pipeline for Document Signature Analysis to Detect Money Laundering Activities. - Elena Baninemeh, Siamak Farshidi, Slinger Jansen:
A Decision Model for Decentralized Autonomous Organization Platform Selection: Three Industry Case Studies. - Nazia Tasnim, Md. Istiak Hossain Shihab, Moqsadur Rahman, Sheikh Rabiul Islam, Mohammad Ruhul Amin:
Exploring the Scope and Potential of Local Newspaper-based Dengue Surveillance in Bangladesh. - Khin Maung Htay, Rozmie Razif Othman, Amiza Amir, Hasneeza Liza Zakaria, Nuraminah Ramli:
A Pairwise T-Way Test Suite Generation Strategy Using Gravitational Search Algorithm. - Leora Schmerler, Noam Hazon:
Strategic Voting in the Context of Negotiating Teams. - Charlotte Stix:
The ghost of AI governance past, present and future: AI governance in the European Union. - A. Jackulin Mahariba, Shivam Patel:
Smart Band: An Integrated Device for Emergency Management. - Zoran Skoda:
Why blockchain and smart contracts need semantic descriptions. - Omer Aydin:
Analysis of the Visitor Data of a Higher Education Institution Website. - Suleyman Yukcu, Omer Aydin:
Digital Twin As A Cost Reduction Method. - Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Laura Rueda, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez:
Enhancing Adversarial Robustness via Test-time Transformation Ensembling. - Arjunil Pathak, Navid Madani, Kenneth Joseph:
A Method to Analyze Multiple Social Identities in Twitter Bios. - Punam Biswas, Tanzima Hashem, Muhammad Aamir Cheema:
Safest Nearby Neighbor Queries in Road Networks (Full Version). - Benjamin Kellenberger, John E. Vargas-Muñoz, Devis Tuia, Rodrigo Caye Daudt, Konrad Schindler, Thao T.-T. Whelan, Brenda Ayo, Ferda Ofli, Muhammad Imran:
Mapping Vulnerable Populations with AI. - George B. Mertzios, Othon Michail, George Skretas, Paul G. Spirakis, Michail Theofilatos:
The Complexity of Growing a Graph. - Lin Zhang, Xin Wang, Erica Cooper, Junichi Yamagishi:
Multi-Task Learning in Utterance-Level and Segmental-Level Spoof Detection. - Nur Imtiazul Haque, Mohammad Ashiqur Rahman, Dong Chen, Hisham A. Kholidy:
BIoTA Control-Aware Attack Analytics for Building Internet of Things. - Asif Bhat, Rizal Mohd Nor, Md. Amiruzzaman, Md. Rajibul Islam:
Methodology and Analysis of Smart Contracts in Blockchain-Based International Trade Application. - Yuqi Bai, Lei Luo:
Zero-knowledge Based Proof-chain - A methodology for blockchain-partial system. - Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou:
Semi-Supervised Active Learning with Temporal Output Discrepancy. - Chester Palen-Michel, Nolan Holley, Constantine Lignos:
Addressing Barriers to Reproducible Named Entity Recognition Evaluation. - Matteo Bruno, Renaud Lambiotte, Fabio Saracco:
Brexit and bots: characterizing the behaviour of automated accounts on Twitter during the UK election. - Tanushree Roy, Satadru Dey:
Security of Distributed Parameter Cyber-Physical Systems: Cyber-Attack Detection in Linear Parabolic PDEs. - Tai Wang, Xinge Zhu, Jiangmiao Pang, Dahua Lin:
Probabilistic and Geometric Depth: Detecting Objects in Perspective. - Hao Xu, Tianyu Yang, Kai-Kit Wong, Giuseppe Caire:
Achievable Regions and Precoder Designs for the Multiple Access Wiretap Channels with Confidential and Open Messages. - Jiayi Weng, Huayu Chen, Dong Yan, Kaichao You, Alexis Duburcq, Minghao Zhang, Hang Su, Jun Zhu:
Tianshou: a Highly Modularized Deep Reinforcement Learning Library. - Xuewen Yang, Yingru Liu, Xin Wang:
ReFormer: The Relational Transformer for Image Captioning. - Anique Akhtar, Wen Gao, Li Li, Zhu Li, Wei Jia, Shan Liu:
Video-based Point Cloud Compression Artifact Removal. - Zhibo Wang, Hengchang Guo, Zhifei Zhang, Wenxin Liu, Zhan Qin, Kui Ren:
Feature Importance-aware Transferable Adversarial Attacks. - Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Bartosz Krawczyk, Nathalie Japkowicz:
On the combined effect of class imbalance and concept complexity in deep learning. - Hritam Basak, Mayukhmali Das, Susmita Modak:
RSO: A Novel Reinforced Swarm Optimization Algorithm for Feature Selection. - Shekhar Chalise, Phani Vadrevu:
A Study of Feasibility and Diversity of Web Audio Fingerprints. - Guangyi Chen, Junlong Li, Jiwen Lu, Jie Zhou:
Human Trajectory Prediction via Counterfactual Analysis. - Guangyi Chen, Junlong Li, Nuoxing Zhou, Liangliang Ren, Jiwen Lu:
Personalized Trajectory Prediction via Distribution Discrimination. - Santosh Thoduka, Juergen Gall, Paul G. Plöger:
Using Visual Anomaly Detection for Task Execution Monitoring. - Fangrui Zhu, Yi Zhu, Li Zhang, Chongruo Wu, Yanwei Fu, Mu Li:
A Unified Efficient Pyramid Transformer for Semantic Segmentation. - Andreas Abel, Jan Reineke:
Accurate Throughput Prediction of Basic Blocks on Recent Intel Microarchitectures. - Melih Bastopcu, Baturalp Buyukates, Sennur Ulukus:
Gossiping with Binary Freshness Metric. - Omri Kahalon, Hung Le, Lazar Milenkovic, Shay Solomon:
Can't See The Forest for the Trees: Navigating Metric Spaces by Bounded Hop-Diameter Spanners. - Kan Wu, Houwen Peng, Minghao Chen, Jianlong Fu, Hongyang Chao:
Rethinking and Improving Relative Position Encoding for Vision Transformer. - DJ Strouse, Kate Baumli, David Warde-Farley, Vlad Mnih, Steven Hansen:
Learning more skills through optimistic exploration. - Lu Qi, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Zhe Lin, Philip H. S. Torr, Jiaya Jia:
Open-World Entity Segmentation. - Fabio Pizzati, Pietro Cerri, Raoul de Charette:
Guided Disentanglement in Generative Networks. - Shuquan Ye, Dongdong Chen, Songfang Han, Jing Liao:
Learning with Noisy Labels for Robust Point Cloud Segmentation. - Miguel Brozos-Vázquez, María José Pereira-Sáez, A. B. Rodríguez Raposo, María José Souto Salorio, Ana Dorotea Tarrío-Tobar:
Contact detection between an ellipsoid and a combination of quadrics. - Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar:
Batch Active Learning at Scale. - Mehrasa Ahmadipour, Mari Kobayashi, Michèle A. Wigger, Giuseppe Caire:
An Information-Theoretic Approach to Joint Sensing and Communication. - Hanh Dang-Ngoc, Diep N. Nguyen, Khuong Ho-Van, Dinh Thai Hoang, Eryk Dutkiewicz, Quoc-Viet Pham, Won-Joo Hwang:
Secure Swarm UAV-assisted Communications with Cooperative Friendly Jamming. - Paolo Azzoni, Gianfranco Caminale, Marco Carratù, Salvatore Dello Iacono, Giuseppe Fenza, Nicola Gallo, Consolatina Liguori, Elisa Londero, Antonio Pietrosanto, Nicolo Rebella:
Distributed Smart Measurement Architecture for Industrial Automation. - Behrooz Omidvar-Tehrani:
Interactive Region-of-Interest Discovery using Exploratory Feedback. - Kristina Sojakova:
Syllepsis in Homotopy Type Theory. - Yanchao Yang, Hanxiang Ren, He Wang, Bokui Shen, Qingnan Fan, Youyi Zheng, C. Karen Liu, Leonidas J. Guibas:
ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic Segmentation. - Shilin Hu, Hieu Le, Dimitris Samaras:
Temporal Feature Warping for Video Shadow Detection. - Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino:
Sparse Feature Factorization for Recommender Systems with Knowledge Graphs. - Sindhu Tipirneni, Chandan K. Reddy:
Self-supervised Transformer for Multivariate Clinical Time-Series with Missing Values. - Enrico Ubaldi, Takahiro Yabe, Nicholas K. W. Jones, Maham Faisal Khan, Satish V. Ukkusuri, Emanuele Strano:
Mobilkit: A Python Toolkit for Urban Resilience and Disaster Risk Management Analytics using High Frequency Human Mobility Data. - Max Revay, Jack Umenberger, Ian R. Manchester:
Distributed Identification of Contracting and/or Monotone Network Dynamics. - Hakwan Lau, Stephen Tse:
Decentralized Basic Income: Creating Wealth with On-Chain Staking and Fixed-Rate Protocols. - Piyush K. Sharma, Rolando Fernandez, Erin G. Zaroukian, Michael R. Dorothy, Anjon Basak, Derrik E. Asher:
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training. - Clayton Rooke, Jonathan Smith, Kin Kwan Leung, Maksims Volkovs, Saba Zuberi:
Temporal Dependencies in Feature Importance for Time Series Predictions. - Shahin Tasoujian, Karolos Grigoriadis, Matthew A. Franchek:
LPV Delay-Dependent Sampled-Data Output-Feedback Control of Fueling in Spark Ignition Engines. - Varsha Dani, Josep Díaz, Thomas P. Hayes, Cristopher Moore:
Improved Reconstruction of Random Geometric Graphs. - Venkat Margapuri, Niketa Penumajji, Mitchell L. Neilsen:
PiBase: An IoT-based Security System using Raspberry Pi and Google Firebase. - Abhishek Goudar:
On Observability and Identifiability of Tightly-coupled Ultrawideband-aided Inertial Localization. - Zi Yang Kang, Francisco Pernice, Jan Vondrák:
Fixed-Price Approximations in Bilateral Trade. - Ludwig Bothmann, Sven Strickroth, Giuseppe Casalicchio, David Rügamer, Marius Lindauer, Fabian Scheipl, Bernd Bischl:
Developing Open Source Educational Resources for Machine Learning and Data Science. - Amy A. Winecoff, Matthew Sun, Eli Lucherini, Arvind Narayanan:
Simulation as Experiment: An Empirical Critique of Simulation Research on Recommender Systems. - Arup Baruah, Kaushik Amar Das, Ferdous Ahmed Barbhuiya, Kuntal Dey:
IIITG-ADBU@HASOC-Dravidian-CodeMix-FIRE2020: Offensive Content Detection in Code-Mixed Dravidian Text. - Tanveer Khan, Alexandros Bakas, Antonis Michalas:
Blind Faith: Privacy-Preserving Machine Learning using Function Approximation. - Runzhou Ge, Zhuangzhuang Ding, Yihan Hu, Wenxin Shao, Li Huang, Kun Li, Qiang Liu:
Real-Time Anchor-Free Single-Stage 3D Detection with IoU-Awareness. - Shahd Safarani, Arne Nix, Konstantin Willeke, Santiago A. Cadena, Kelli Restivo, George H. Denfield, Andreas S. Tolias, Fabian H. Sinz:
Towards robust vision by multi-task learning on monkey visual cortex. - Leena Mathur, Micol Spitale, Hao Xi, Jieyun Li, Maja J. Mataric:
Modeling User Empathy Elicited by a Robot Storyteller. - Brent Van De Walker, Brendan Byrne, Joshua Near, Blake Purdie, Matthew Whatman, David Weales, Cole Tarry, Medhat Moussa:
Towards developing a realistic robotics simulation environment of an indoor vegetable greenhouse. - William G. La Cava, Patryk Orzechowski, Bogdan Burlacu, Fabrício Olivetti de França, Marco Virgolin, Ying Jin, Michael Kommenda, Jason H. Moore:
Contemporary Symbolic Regression Methods and their Relative Performance. - Bradley Hauer, Grzegorz Kondrak:
WiC = TSV = WSD: On the Equivalence of Three Semantic Tasks. - Paul J. Atzberger:
MLMOD Package: Machine Learning Methods for Data-Driven Modeling in LAMMPS. - Moein Razavi, Vahid Janfaza, Takashi Yamauchi, Anton Leontyev, Shanle Longmire-Monford, Joseph Orr:
OpenSync: An opensource platform for synchronizing multiple measures in neuroscience experiments. - Gecynalda Gomes, Teresa Bernarda Ludermir:
Otimizacao de pesos e funcoes de ativacao de redes neurais aplicadas na previsao de series temporais. - Robert Huppertz, Catherine Nakalembe, Hannah Kerner, Ramani Lachyan, Maxime Rischard:
Using transfer learning to study burned area dynamics: A case study of refugee settlements in West Nile, Northern Uganda. - Lin Yan, Talha Bin Masood, Farhan Rasheed, Ingrid Hotz, Bei Wang:
Geometry-Aware Merge Tree Comparisons for Time-Varying Data with Interleaving Distances. - Swarnamugi M., Chinnaiyan R.:
Modelling and Reasoning Techniques for Context Aware Computing in Intelligent Transportation System. - Winston Chen, Tejas Shah:
Exploring Low-light Object Detection Techniques. - Ruobin Gao, Liang Du, Ponnuthurai N. Suganthan, Qin Zhou, Kum Fai Yuen:
Random vector functional link neural network based ensemble deep learning for short-term load forecasting. - Yongxiang Gu, Qianlei Wang, Xiaolin Qin:
Real-time Streaming Perception System for Autonomous Driving. - Junjie Ye, Changhong Fu, Guangze Zheng, Ziang Cao, Bowen Li:
DarkLighter: Light Up the Darkness for UAV Tracking. - Jiajun Deng, Wengang Zhou, Yanyong Zhang, Houqiang Li:
From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection. - Tian Han, Rajitha Senanayake, Peter J. Smith, Jamie S. Evans, William Moran, Robin J. Evans:
Combined Radar and Communications with Phase-Modulated Frequency Permutations. - Reinmar J. Kobler, Junichiro Hirayama, Lea Hehenberger, Catarina Lopes Dias, Gernot R. Müller-Putz, Motoaki Kawanabe:
On the interpretation of linear Riemannian tangent space model parameters in M/EEG. - Jingwei Yan, Jingjing Wang, Qiang Li, Chunmao Wang, Shiliang Pu:
Self-Supervised Regional and Temporal Auxiliary Tasks for Facial Action Unit Recognition. - Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao:
Difficulty-Aware Machine Translation Evaluation. - Wei-Kun Chen, Ya-Feng Liu, Fan Liu, Yu-Hong Dai, Zhi-Quan Luo:
Towards Efficient Large-Scale Network Slicing: An LP Rounding-and-Refinement Approach. - Ben Zhai, Yanli Wang, Wenxuan Wang, Bing Wu:
Optimal Variable Speed Limit Control Strategy on Freeway Segments under Fog Conditions. - Andrea Bajcsy, Karen Leung, Edward Schmerling, Marco Pavone:
Towards the Unification and Data-Driven Synthesis of Autonomous Vehicle Safety Concepts. - Ajay Kulkarni:
Towards Understanding the Impact of Real-Time AI-Powered Educational Dashboards (RAED) on Providing Guidance to Instructors. - Haokui Zhang, Wenze Hu, Xiaoyu Wang, Buzhou Tang:
Learnable Compression Network with Transformer for Approximate Nearest Neighbor Search. - Lachlan O'Neill, Simon D. Angus, Satya Borgohain, Nader Chmait, David L. Dowe:
Creating Powerful and Interpretable Models withRegression Networks. - Danqing Shi, Yi Guo, Mingjuan Guo, Yanqiu Wu, Qing Chen, Nan Cao:
Talk2Data: High-Level Question Decomposition for Data-Oriented Question and Answering. - Xiaotian Yu, Hanling Yi, Yi Yu, Ling Xing, Shiliang Zhang, Xiaoyu Wang:
Enhancing Social Relation Inference with Concise Interaction Graph and Discriminative Scene Representation. - Florian Richter, Peter V. Gavrilov, Hoi Man Lam, Amir Degani, Michael C. Yip:
ARCSnake: Reconfigurable Snake-Like Robot with Archimedean Screw Propulsion for Multi-Domain Mobility. - Bowen Zhang, Yifan Liu, Zhi Tian, Chunhua Shen:
Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation. - Yun Yue, Yongchao Liu, Suo Tong, Minghao Li, Zhen Zhang, Chunyang Wen, Huanjun Bao, Lihong Gu, Jinjie Gu, Yixiang Mu:
Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction. - Xiaohan Ding, Tianxiang Hao, Jungong Han, Yuchen Guo, Guiguang Ding:
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN. - Ruihuang Li, Xu Jia, Jianzhong He, Shuaijun Chen, Qinghua Hu:
T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation. - Adrià Casamitjana, Matteo Mancini, Juan Eugenio Iglesias:
Synth-by-Reg (SbR): Contrastive learning for synthesis-based registration of paired images. - Alireza Nadali, Mohammad Mehdi Ebadzadeh:
Maximum Entropy Dueling Network Architecture. - Yunfeng Bai, Qingwen Liu, Xin Wang, Bin Zhou, Zhiyong Bu:
High-Efficiency Resonant Beam Charging and Communication. - Quoc Phong Nguyen, Zhaoxuan Wu, Bryan Kian Hsiang Low, Patrick Jaillet:
Trusted-Maximizers Entropy Search for Efficient Bayesian Optimization. - Zhiyang Chen, Yousong Zhu, Chaoyang Zhao, Guosheng Hu, Wei Zeng, Jinqiao Wang, Ming Tang:
DPT: Deformable Patch-based Transformer for Visual Recognition. - Hongxu Yang, Caifeng Shan, R. Arthur Bouwman, Lukas R. C. Dekker, Alexander F. Kolen, Peter H. N. de With:
Medical Instrument Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning. - Yuling Jiao, Yanming Lai, Yisu Luo, Yang Wang, Yunfei Yang:
Error Analysis of Deep Ritz Methods for Elliptic Equations. - Trung-Nghia Le, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen:
OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild. - Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su:
ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills. - Tim Lyon:
Refining Labelled Systems for Modal and Constructive Logics with Applications. - Ruthwik Muppala:
Feasibility of GNSS-free Localization: A TDoA-based Approach Using LoRaWAN. - Rémy Leroy, Pauline Trouvé-Peloux, Frédéric Champagnat, Bertrand Le Saux, Marcela Carvalho:
Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport. - Majid Rafiei, Alexander Schnitzler, Wil M. P. van der Aalst:
PC4PM: A Tool for Privacy/Confidentiality Preservation in Process Mining. - Yan Kyaw Tun, Nguyen Dang Tri, Kitae Kim, Madyan Alsenwi, Walid Saad, Choong Seon Hong:
Collaboration in the Sky: A Distributed Framework for Task Offloading and Resource Allocation in Multi-Access Edge Computing. - Marvin Lange, Reuben Kirkham, Benjamin Tannert:
Strategically using Applied Machine Learning for Accessibility Documentation in the Built Environment. - Dirk Blömker, Claudia Schillings, Philipp Wacker, Simon Weissmann:
Continuous time limit of the stochastic ensemble Kalman inversion: Strong convergence analysis. - John Derrick, Simon Doherty, Brijesh Dongol, Gerhard Schellhorn, Heike Wehrheim:
On Strong Observational Refinement and Forward Simulation. - Daniel H. Baffet, Yannik G. Gleichmann, Marcus J. Grote:
Error Estimates for Adaptive Spectral Decompositions. - Qi Xie, Qian Zhao, Zongben Xu, Deyu Meng:
Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions. - Lucas Gnecco, Nicolas Boria, Sébastien Bougleux, Florian Yger, David B. Blumenthal:
The Minimum Edit Arborescence Problem and Its Use in Compressing Graph Collections [Extended Version]. - Idan Attias, Edith Cohen, Moshe Shechner, Uri Stemmer:
A Framework for Adversarial Streaming via Differential Privacy and Difference Estimators. - Hassan Hayat, Carles Ventura, Àgata Lapedriza:
Recognizing Emotions evoked by Movies using Multitask Learning. - José González Cabañas, Patricia Callejo, Pelayo Vallina, Ángel Cuevas, Rubén Cuevas, Antonio Fernández Anta:
How resilient is the Open Web to the COVID-19 pandemic? - Kaustubh Sadekar, Ashish Tiwari, Shanmuganathan Raman:
Shadow Art Revisited: A Differentiable Rendering Based Approach. - Marcin Dryjanski, Adrian Kliks:
A Hierarchical and Modular Radio Resource Management Architecture for 5G and Beyond. - Filip Korzeniowski, Sergio Oramas, Fabien Gouyon:
Artist Similarity with Graph Neural Networks. - Alican Akman, Harry Coppock, Alexander Gaskell, Panagiotis Tzirakis, Lyn Jones, Björn W. Schuller:
Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 from Audio Challenges. - Hung P. Hoang, Stefan Lendl, Lasse Wulf:
Assistance and Interdiction Problems on Interval Graphs. - Thilanka Munasinghe, H. R. Pasindu:
Sensing and Mapping for Better Roads: Initial Plan for Using Federated Learning and Implementing a Digital Twin to Identify the Road Conditions in a Developing Country - Sri Lanka. - Linus Seelinger, Anne Reinarz, Leonhard Rannabauer, Michael Bader, Peter Bastian, Robert Scheichl:
High Performance Uncertainty Quantification with Parallelized Multilevel Markov Chain Monte Carlo. - Semih Atakan, Harsha Gangammanavar, Suvrajeet Sen:
Towards a Sustainable Power Grid: Stochastic Hierarchical Planning for High Renewable Integration. - Javier Naranjo-Alcazar, Sergi Perez-Castanos, Pedro Zuccarello, Francesc J. Ferri, Maximo Cobos:
TASK3 DCASE2021 Challenge: Sound event localization and detection using squeeze-excitation residual CNNs. - Yung-Chen Sun, Isaac D. Gerg, Vishal Monga:
Iterative, Deep, and Unsupervised Synthetic Aperture Sonar Image Segmentation. - Stefanos Koffas, Jing Xu, Mauro Conti, Stjepan Picek:
Can You Hear It? Backdoor Attacks via Ultrasonic Triggers. - Thorsten Götte, Christina Kolb, Christian Scheideler, Julian Werthmann:
Beep-And-Sleep: Message and Energy Efficient Set Cover. - Fethi Bencherki, Semiha Türkay, Hüseyin Akçay:
Deadbeat observer based switched linear system identification. - Xunlin Zhan, Yangxin Wu, Xiao Dong, Yunchao Wei, Minlong Lu, Yichi Zhang, Hang Xu, Xiaodan Liang:
Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-modal Pretraining. - Maria Luiza Costa Vianna, Eric Goubault, Sylvie Putot:
Neural Network Based Model Predictive Control for an Autonomous Vehicle. - Arsenii Uglov, Sergei M. Nikolaev, Sergei D. Belov, Daniil I. Padalitsa, Tatiana Greenkina, Marco San-Biagio, Fabio Cacciatori:
Surrogate Modelling for Injection Molding Processes using Machine Learning. - Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song:
DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. - Vladimir N. Potapov:
On weight spectrum of linear codes. - Boris Ryabko:
Fast direct access to variable length codes. - Erick Galinkin:
Winning the Ransomware Lottery: A Game-Theoretic Model for Mitigating Ransomware Attacks. - Yuni Zhou, Lingxuan Kong, Stefan Sosnowski, Qingchen Liu, Sandra Hirche:
Distributed Event- and Self-Triggered Coverage Control with Speed Constrained Unicycle Robots. - (Withdrawn) NeuralDP Differentially private neural networks by design.
- Vladimir N. Potapov:
An Upper Bound on the Number of Bent Functions. - Alexander Genser, Anastasios Kouvelas:
Dynamic optimal congestion pricing in multi-region urban networks by application of a Multi-Layer-Neural network. - Christophe Dupuy, Radhika Arava, Rahul Gupta, Anna Rumshisky:
An Efficient DP-SGD Mechanism for Large Scale NLP Models. - Shakeeb A. M. Mukhtar, Pushkar S. Joglekar:
Urdu & Hindi Poetry Generation using Neural Networks. - Gerhard Zangerl, Alexander Steinicke:
On the Configurations of Closed Kinematic Chains in three-dimensional Space. - Daphne Wang, Mehrnoosh Sadrzadeh, Samson Abramsky, Víctor H. Cervantes:
On the Quantum-like Contextuality of Ambiguous Phrases. - GuoLiang Li, Yiyang Li:
Residual Tree Aggregation of Layers for Neural Machine Translation. - Emilia Apostolova, Fazle Karim, Guido Muscioni, Anubhav Rana, Jeffrey Clyman:
Self-supervision for health insurance claims data: a Covid-19 use case. - Nisha Pillai, Cynthia Matuszek, Francis Ferraro:
Neural Variational Learning for Grounded Language Acquisition. - Tongtong Liu, Fangxiang Feng, Xiaojie Wang:
Multi-stage Pre-training over Simplified Multimodal Pre-training Models. - Abien Fred Agarap:
Text Classification and Clustering with Annealing Soft Nearest Neighbor Loss. - Xiaying Wang, Fabian Geiger, Vlad Niculescu, Michele Magno, Luca Benini:
SmartHand: Towards Embedded Smart Hands for Prosthetic and Robotic Applications. - Hengli Wang, Rui Fan, Peide Cai, Ming Liu:
SNE-RoadSeg+: Rethinking Depth-Normal Translation and Deep Supervision for Freespace Detection. - (Withdrawn) MDQE: A More Accurate Direct Pretraining for Machine Translation Quality Estimation.
- Erick Galinkin:
Who's Afraid of Thomas Bayes? - Armin Galetzka, Dimitrios Loukrezis, Herbert De Gersem:
Three-Dimensional Data-Driven Electromagnetic Field Simulation using Real World Measurement Data. - Cristian Rusu:
An iterative coordinate descent algorithm to compute sparse low-rank approximations. - Haosong Yue, Jinyu Miao, Weihai Chen, Wei Wang, Fanghong Guo, Zhengguo Li:
Automatic Vocabulary and Graph Verification for Accurate Loop Closure Detection. - (Withdrawn) Incorporation of Deep Neural Network & Reinforcement Learning with Domain Knowledge.
- Koji Aoshima, Martin Servin, Eddie Wadbro:
Simulation-Based Optimization of High-Performance Wheel Loading. - Zhaoyang Cheng, Guanpu Chen, Yiguang Hong:
Single-Leader-Multiple-Followers Stackelberg Security Game with Hypergame Framework. - Mahmoud Shaqfa, Gary P. T. Choi, Katrin Beyer:
Spherical Cap Harmonic Analysis (SCHA) for Characterising the Morphology of Rough Surface Patches. - Alexander Genser, Roland Spielhofer, Philippe Nitsche, Anastasios Kouvelas:
Critical ride comfort detection for automated vehicles. - Ziwei Chen, Yiye Wang, Wankou Yang:
Video Based Fall Detection Using Human Poses. - Amauri J. Paula:
An automated domain-independent text reading, interpreting and extracting approach for reviewing the scientific literature. - Wout S. Lamers, Kevin W. Boyack, Vincent Larivière, Cassidy R. Sugimoto, Nees Jan van Eck, Ludo Waltman, Dakota S. Murray:
Measuring Disagreement in Science. - Andre Kassis, Urs Hengartner:
Practical Attacks on Voice Spoofing Countermeasures. - Sarwan Ali:
Cache Replacement Algorithm. - Manfred Schmidt-Schauß, David Sabel:
Minimal Translations from Synchronous Communication to Synchronizing Locks (Extended Version). - Pedro Sarmento, Adarsh Kumar, CJ Carr, Zack Zukowski, Mathieu Barthet, Yi-Hsuan Yang:
DadaGP: A Dataset of Tokenized GuitarPro Songs for Sequence Models. - Hasan Bayarov Ahmedov, Dewei Yi, Jie Sui:
Brain-Inspired Deep Imitation Learning for Autonomous Driving Systems. - Krasimir Yordzhev:
The bitwise operations in relation to the concept of set. - Javier Naranjo-Alcazar, Sergi Perez-Castanos, Maximo Cobos, Francesc J. Ferri, Pedro Zuccarello:
Task 1A DCASE 2021: Acoustic Scene Classification with mismatch-devices using squeeze-excitation technique and low-complexity constraint. - Alejo Concha, Michael Burri, Jesús Briales, Christian Forster, Luc Oth:
Instant Visual Odometry Initialization for Mobile AR. - Nicolai Spicher, Michael Schweins, Lennart Thielecke, Thomas Kürner, Thomas M. Deserno:
Feasibility Analysis of Fifth-generation (5G) Mobile Networks for Transmission of Medical Imaging Data. - Ahmad Kourani, Naseem A. Daher:
Marine Locomotion: A Tethered UAV$-$Buoy System with Surge Velocity Control. - Yehia Abd Alrahman, Mauricio Martel, Nir Piterman:
Interleaving & Reconfigurable Interaction: Separating Choice from Scheduling using Glue. - Pedro Hack, Daniel A. Braun, Sebastian Gottwald:
Representing Pareto optima in preordered spaces: from Shannon entropy to injective monotones. - Susanne Albers, Jens Quedenfeld:
Algorithms for Energy Conservation in Heterogeneous Data Centers. - Clemens Hofstadler, Thibaut Verron:
Signature Gröbner bases, bases of syzygies and cofactor reconstruction in the free algebra. - Elisa Claire Alemán Carreón, Hugo Alberto Mendoza España, Hirofumi Nonaka, Toru Hiraoka:
Differences in Chinese and Western tourists faced with Japanese hospitality: A natural language processing approach. - Samuel Budd, Thomas G. Day, John M. Simpson, Karen Lloyd, Jacqueline Matthew, Emily Skelton, Reza Razavi, Bernhard Kainz:
Can non-specialists provide high quality gold standard labels in challenging modalities? - Vineet Gandhi, Jan Cech, Radu Horaud:
High-Resolution Depth Maps Based on TOF-Stereo Fusion. - Shiyue Zhang, Asli Celikyilmaz, Jianfeng Gao, Mohit Bansal:
EmailSum: Abstractive Email Thread Summarization. - Susanne Albers, Jens Quedenfeld:
Algorithms for Right-Sizing Heterogeneous Data Centers. - Zeyu Wu, Luiza Labazanova, Peng Zhou, David Navarro-Alarcon:
A Novel Approach to Model the Kinematics of Human Fingers Based on an Elliptic Multi-Joint Configuration. - Robert Tyler Loftin, Aadirupa Saha, Sam Devlin, Katja Hofmann:
Strategically Efficient Exploration in Competitive Multi-agent Reinforcement Learning. - Tomas Sako, Arturo M. Martinez Jr.:
Seeing poverty from space, how much can it be tuned? - Baihe Huang, Jason D. Lee, Zhaoran Wang, Zhuoran Yang:
Towards General Function Approximation in Zero-Sum Markov Games. - Javad Zolfaghari Bengar, Bogdan Raducanu, Joost van de Weijer:
When Deep Learners Change Their Mind: Learning Dynamics for Active Learning. - Wilder E. Castellanos, Juan Gabriel Bustos, Fran Wilson Sanabria:
Advanced techniques for adaptive video streaming in SDNs. - Andrei Cramariuc, Florian Tschopp, Nikhilesh Alatur, Stefan Benz, Tillmann Falck, Marius Brühlmeier, Benjamin Hahn, Juan I. Nieto, Roland Siegwart:
SemSegMap- 3D Segment-Based Semantic Localization. - Duo Peng, Yinjie Lei, Wen Li, Pingping Zhang, Yulan Guo:
Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation. - Youjia Wang, Taotao Zhou, Minzhang Li, Teng Xu, Minye Wu, Lan Xu, Jingyi Yu:
Relightable Neural Video Portrait. - Alina Saduova, Eyhab Al-Masri:
A Self-Adaptive IoT-based Approach for Improving the Decision Making of Active Surgical Robots in Hospitals. - Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
Automatic Claim Review for Climate Science via Explanation Generation. - Tobias Alt, Karl Schrader, Matthias Augustin, Pascal Peter, Joachim Weickert:
Connections between Numerical Algorithms for PDEs and Neural Networks. - Haisen Zhao, Max Willsey, Amy Zhu, Chandrakana Nandi, Zachary Tatlock, Justin Solomon, Adriana Schulz:
Co-Optimization of Design and Fabrication Plans for Carpentry: Supplemental Material. - Xavier Garcia, Noah Constant, Mandy Guo, Orhan Firat:
Towards Universality in Multilingual Text Rewriting. - David Pujol-Perich, José Suárez-Varela, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Unveiling the potential of Graph Neural Networks for robust Intrusion Detection. - Pablo D. Brubeck, Patrick E. Farrell:
A scalable and robust preconditioner for high-order FEM based on the fast diagonalization method. - Simone Disabato, Manuel Roveri:
Tiny Machine Learning for Concept Drift. - Haizhou Shi, Youcai Zhang, Siliang Tang, Wenjie Zhu, Yaqian Li, Yandong Guo, Yueting Zhuang:
On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals. - Brian Gaudet, Kris Drozd, Ryan Meltzer, Roberto Furfaro:
Adaptive Approach Phase Guidance for a Hypersonic Glider via Reinforcement Meta Learning. - Khalil Damak, Sami Khenissi, Olfa Nasraoui:
Debiased Explainable Pairwise Ranking from Implicit Feedback. - Hongbiao Zhu, Qiong Wu, Xiaojun Wu, Qiang Fan, Pingyi Fan, Jiangzhou Wang:
Decentralized Power Allocation for MIMO-NOMA Vehicular Edge Computing Based on Deep Reinforcement Learning. - Eman Yahia, William Schupbach, Kannan N. Premnath:
Three-Dimensional Central Moment Lattice Boltzmann Method on a Cuboid Lattice for Anisotropic and Inhomogeneous Flows. - Alberto Mozo, Ángel González-Prieto, Antonio Pastor Perales, Sandra Gómez Canaval, Edgar Talavera:
Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks. - Nikolai Poliarnyi:
Out-of-Core Surface Reconstruction via Global $TGV$ Minimization. - Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira:
Perceiver IO: A General Architecture for Structured Inputs & Outputs. - Charles L. Bérubé, Pierre Bérubé:
Data-driven modeling of time-domain induced polarization. - Eric Goles, Andrew Adamatzky, Pedro Montealegre, Martín Ríos-Wilson:
Generating Boolean Functions on Totalistic Automata Networks. - Shiyue Zhang, Benjamin Frey, Mohit Bansal:
ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback. - Christoph Kirsch, Josef Poppitz, Torben Wendt, Steven van de Par, Stephan Dieter Ewert:
Computationally efficient spatial rendering of late reverberation in virtual acoustic environments. - Sankalp Gilda, Stark C. Draper, Sebastien Fabbro, William Mahoney, Simon Prunet, Kanoa Withington, Matthew Wilson, Yuan-Sen Ting, Andrew Sheinis:
Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope. - Sean Hooten, Thomas Van Vaerenbergh, Raymond G. Beausoleil:
Inverse Design of Grating Couplers Using the Policy Gradient Method from Reinforcement Learning. - Amber Afshan, Kshitiz Kumar, Jian Wu:
Sequence-level Confidence Classifier for ASR Utterance Accuracy and Application to Acoustic Models. - Murat Cubuktepe, Nils Jansen, Sebastian Junges, Joost-Pieter Katoen, Ufuk Topcu:
Convex Optimization for Parameter Synthesis in MDPs. - John Mendonça, Rubén Solera-Ureña, Alberto Abad, Isabel Trancoso:
Using Self-Supervised Feature Extractors with Attention for Automatic COVID-19 Detection from Speech. - Vasudevan Lakshminarayanan, Hoda Kheradfallah, Arya Sarkar, J. Jothi Balaji:
Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey. - T. Tony Cai, Hongji Wei:
Distributed Nonparametric Function Estimation: Optimal Rate of Convergence and Cost of Adaptation. - Wei-Ming Li, Shi-Ju Ran:
Non-parametric Active Learning and Rate Reduction in Many-body Hilbert Space with Rescaled Logarithmic Fidelity. - Lauren Streitmatter, Peter Zhang:
Travel Cadence and Epidemic Spread. - Chris Jones, Aaron Potechin:
Almost-Orthogonal Bases for Inner Product Polynomials. - Stoyan Pavlov, Galina Momcheva, Pavlina Burlakova, Simeon Atanasov, Dimo Stoyanov, Martin Ivanov, Anton Tonchev:
Feasibility of Haralick's Texture Features for the Classification of Chromogenic In-situ Hybridization Images. - Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler:
DivergentNets: Medical Image Segmentation by Network Ensemble. - Yuhao Niu, Lin Gu, Yitian Zhao, Feng Lu:
Explainable Diabetic Retinopathy Detection and Retinal Image Generation. - Mathias Dietz, Jörg Encke, Kristin I. Bracklo, Stephan Dieter Ewert:
Prediction of tone detection thresholds in interaurally delayed noise based on interaural phase difference fluctuations. - Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin:
Reparameterized Sampling for Generative Adversarial Networks. - Nicolas Dewolf, Bernard De Baets, Willem Waegeman:
Well-calibrated prediction intervals for regression problems. - Sheng Gao, Zongming Ma:
Sparse GCA and Thresholded Gradient Descent. - Hanna Tseran, Guido Montúfar:
On the Expected Complexity of Maxout Networks. - Viera Maslej-Kresnáková, Khadija El Bouchefry, Peter Butka:
Morphological classification of compact and extended radio galaxies using convolutional neural networks and data augmentation techniques. - Luis Miguel Lopez-Ramos, Kevin Roy, Baltasar Beferull-Lozano:
Explainable nonlinear modelling of multiple time series with invertible neural networks. - Satvik Singh, Nilanjana Datta:
Coherent information of a quantum channel or its complement is generically positive. - Nora Lüthen, Olivier Roustant, Fabrice Gamboa, Bertrand Iooss, Stefano Marelli, Bruno Sudret:
Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions. - Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel:
Lossless Coding of Point Cloud Geometry using a Deep Generative Model. - Sungho Suh, Sojeong Cheon, Wonseo Choi, Yeon Woong Chung, Won-Kyung Cho, Ji-Sun Paik, Sung Eun Kim, Dong-Jin Chang, Yong Oh Lee:
Supervised Segmentation with Domain Adaptation for Small Sampled Orbital CT Images. - Skylar W. Wurster, Han-Wei Shen, Hanqi Guo, Thomas Peterka, Mukund Raj, Jiayi Xu:
Deep Hierarchical Super-Resolution for Scientific Data Reduction and Visualization. - Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael I. Jordan:
On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging. - Idan Amir, Yair Carmon, Tomer Koren, Roi Livni:
Never Go Full Batch (in Stochastic Convex Optimization). - Vajira Thambawita, Pegah Salehi, Sajad Amouei Sheshkal, Steven Alexander Hicks, Hugo Lewi Hammer, Sravanthi Parasa, Thomas de Lange, Pål Halvorsen, Michael A. Riegler:
SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation. - Baojian Zhou, Yifan Sun:
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets. - Zijian Shi, John Cartlidge:
The Limit Order Book Recreation Model (LOBRM): An Extended Analysis. - Salah Zaiem, Titouan Parcollet, Slim Essid:
Pretext Tasks selection for multitask self-supervised speech representation learning. - Yi-Zhi Xu, Ho Fai Po, Chi Ho Yeung, David Saad:
Scalable Node-Disjoint and Edge-Disjoint Multi-wavelength Routing. - Joseph Suresh Paul, Sreekanth Madhusoodhanan:
A linear phase evolution model for reduction of temporal unwrapping and field estimation errors in multi-echo GRE. - Hirofumi Inaguma, Tatsuya Kawahara:
StableEmit: Selection Probability Discount for Reducing Emission Latency of Streaming Monotonic Attention ASR. - Hirofumi Inaguma, Brian Yan, Siddharth Dalmia, Pengcheng Guo, Jiatong Shi, Kevin Duh, Shinji Watanabe:
ESPnet-ST IWSLT 2021 Offline Speech Translation System. - Asiful Arefeen, Ali Akbari, Seyed-Iman Mirzadeh, Roozbeh Jafari, Behrooz A. Shirazi, Hassan Ghasemzadeh:
Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error. - Po-Yu Kao, Shu-Min Kao, Nan-Lan Huang, Yen-Chu Lin:
Toward Robust Drug-Target Interaction Prediction via Ensemble Modeling and Transfer Learning. - Reza Bagherian Azhiri, Mohammad Esmaeili, Mehrdad Nourani:
EMG-Based Feature Extraction and Classification for Prosthetic Hand Control. - Daniel C. Hackett, Chung-Chun Hsieh, Michael S. Albergo, Denis Boyda, Jiunn-Wei Chen, Kai-Feng Chen, Kyle Cranmer, Gurtej Kanwar, Phiala E. Shanahan:
Flow-based sampling for multimodal distributions in lattice field theory. - Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara:
Meta-Learning for Relative Density-Ratio Estimation. - Guiyun Xiao, Zheng-Jian Bai:
A geometric proximal gradient method for sparse least squares regression with probabilistic simplex constraint. - Julian M. Stürmer, Anton Plietzsch, Mehrnaz Anvari:
The Risk of Cascading Failures in Electrical Grids Triggered by Extreme Weather Events. - Shannon Connolly, David R. Gilbert, Monika Heiner:
From Epidemic to Pandemic Modelling. - François Delarue, Athanasios Vasileiadis:
Exploration noise for learning linear-quadratic mean field games. - Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo J. Rezende, Yoshua Bengio, Michael Mozer, Christopher J. Pal:
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning. - Yeganeh Alimohammadi, Persi Diaconis, Mohammad Roghani, Amin Saberi:
Sequential importance sampling for estimating expectations over the space of perfect matchings. - Negin Ghamsarian, Mario Taschwer, Doris Putzgruber-Adamitsch, Stephanie Sarny, Yosuf El-Shabrawi, Klaus Schoeffmann:
LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos. - Takashi Amakasu, Nicolas Chauvet, Guillaume Bachelier, Serge Huant, Ryoichi Horisaki, Makoto Naruse:
Conflict-free collective stochastic decision making by orbital angular momentum entangled photons. - Benjamin Max, Michael Hoffmann, Halid Mulaosmanovic, Stefan Slesazeck, Thomas Mikolajick:
Hafnia-based Double Layer Ferroelectric Tunnel Junctions as Artificial Synapses for Neuromorphic Computing. - Christian Bertoni, Joseph M. Renes:
Minimizing couplings in renormalization by preserving short-range mutual information. - Angelo Garangau Menezes, Saulo Martiello Mastelini:
MegazordNet: combining statistical and machine learning standpoints for time series forecasting. - Xiaohui Lin, Yongquan Jiang, Yan Yang:
Molecular structure prediction based on graph convolutional networks. - Rodrigo Vargas Honorato, Panagiotis I. Koukos, Brian Jiménez-García, Andrei Tsaregorodtsev, Marco Verlato, Andrea Giachetti, Antonio Rosato, Alexandre M. J. J. Bonvin:
Structural biology in the clouds: The WeNMR-EOSC Ecosystem. - Thiago Alves Lima, Diego de S. Madeira, Valessa V. Viana:
Static output feedback stabilization of uncertain rational nonlinear systems with input saturation. - Subhabrata Majumdar, Snigdhansu Chatterjee:
Generalized Multivariate Signs for Nonparametric Hypothesis Testing in High Dimensions. - Cristian Constantin Lalescu, Bérenger Bramas, Markus Rampp, Michael Wilczek:
An Efficient Particle Tracking Algorithm for Large-Scale Parallel Pseudo-Spectral Simulations of Turbulence. - John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard E. Turner:
Memory Efficient Meta-Learning with Large Images. - Yifan Sun, Francis R. Bach:
Screening for a Reweighted Penalized Conditional Gradient Method. - Zenglin Shi, Pascal Mettes, Subhransu Maji, Cees G. M. Snoek:
On Measuring and Controlling the Spectral Bias of the Deep Image Prior. - Laila Melkas, Rafael Savvides, Suyog Chandramouli, Jarmo Mäkelä, Tuomo Nieminen, Ivan Mammarella, Kai Puolamäki:
Interactive Causal Structure Discovery in Earth System Sciences. - Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Lawrence Carin, Fan Li, Chenyang Tao:
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. - Thiago Alves Lima, Diego de S. Madeira:
Dissipativity-based static output feedback design for discrete-time LTI systems with time-varying input delays. - Junya Chen, Zhe Gan, Xuan Li, Qing Guo, Liqun Chen, Shuyang Gao, Tagyoung Chung, Yi Xu, Belinda Zeng, Wenlian Lu, Fan Li, Lawrence Carin, Chenyang Tao:
Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE. - Carlo Baldassi, Clarissa Lauditi, Enrico M. Malatesta, Gabriele Perugini, Riccardo Zecchina:
Unveiling the structure of wide flat minima in neural networks. - Valessa V. Viana, Diego de S. Madeira, Thiago Alves Lima:
Dissipativity-based L2 gain-scheduled static output feedback design for rational LPV systems. - Claus Danielson, Scott A. Bortoff, Ankush Chakrabarty:
Extremum Seeking Control with an Adaptive Gain Based On Gradient Estimation Error. - Renaud Vilmart:
Quantum Multiple-Valued Decision Diagrams in Graphical Calculi. - Rajeev Rikhye, Quan Wang, Qiao Liang, Yanzhang He, Ian McGraw:
Multi-user VoiceFilter-Lite via Attentive Speaker Embedding. - Benjamin Kurt Miller, Alex Cole, Patrick Forré, Gilles Louppe, Christoph Weniger:
Truncated Marginal Neural Ratio Estimation. - Xiaoyao Yu, Boleslaw K. Szymanski, Tao Jia:
Become a better you: correlation between the change of research direction and the change of scientific performance. - Niko Moritz, Takaaki Hori, Jonathan Le Roux:
Dual Causal/Non-Causal Self-Attention for Streaming End-to-End Speech Recognition. - Matthew J. Hirn, Anna Little:
Unbiasing Procedures for Scale-invariant Multi-reference Alignment. - Timo Lohrenz, Patrick Schwarz, Zhengyang Li, Tim Fingscheidt:
Relaxed Attention: A Simple Method to Boost Performance of End-to-End Automatic Speech Recognition. - Abhinav Muta, Prabhu Ramachandran:
Efficient and Accurate Adaptive Resolution for Weakly-Compressible SPH. - Jonathan Hillman, Toby Dylan Hocking:
Optimizing ROC Curves with a Sort-Based Surrogate Loss Function for Binary Classification and Changepoint Detection. - Javid Dadashkarimi, Amin Karbasi, Dustin Scheinost:
Data-driven mapping between functional connectomes using optimal transport. - Zhou Fan, Roy R. Lederman, Yi Sun, Tianhao Wang, Sheng Xu:
Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM. - Elisa C. Baek, Ryan Hyon, Karina López, Mason A. Porter, Carolyn Parkinson:
Lonely individuals process the world in idiosyncratic ways. - Marcelo Toledo, Daniel Mario de Lima, José Eduardo Krieger, Marco A. Gutierrez:
A study of CNN capacity applied to Left Venticle Segmentation in Cardiac MRI. - Qiong Zhang, Jiahua Chen:
Minimum Wasserstein Distance Estimator under Finite Location-scale Mixtures. - Hoang C. Nguyen, Tung T. Le, Hieu H. Pham, Ha Q. Nguyen:
VinDr-RibCXR: A Benchmark Dataset for Automatic Segmentation and Labeling of Individual Ribs on Chest X-rays. - Shuyan Wang, Peter Spirtes:
A Uniformly Consistent Estimator of non-Gaussian Causal Effects Under the k-Triangle-Faithfulness Assumption. - Md. Selim, Jie Zhang, Baowei Fei, Guo-Qiang Zhang, Jin Chen:
CT Image Harmonization for Enhancing Radiomics Studies. - Shiv Shankar, Daniel Sheldon:
Sibling Regression for Generalized Linear Models. - Jun Wang, Xiaohan Yu, Yongsheng Gao:
EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation. - Debasattam Pal, Shiva Shankar:
The coarsest lattice that determines a discrete multidimensional system. - Peeyush Kumar, Ayushe Gangal, Sunita Kumari:
WisdomNet: Prognosis of COVID-19 with Slender Prospect of False Negative Cases and Vaticinating the Probability of Maturation to ARDS using Posteroanterior Chest X-Rays. - Hyungi Lee, Eunggu Yun, Hongseok Yang, Juho Lee:
Scale Mixtures of Neural Network Gaussian Processes. - Shiqi Xu, Xi Yang, Wenhui Liu, Joakim Jönsson, Ruobing Qian, Pavan Chandra Konda, Kevin C. Zhou, Qionghai Dai, Haoqian Wang, Edouard Berrocal, Roarke Horstmeyer:
Imaging dynamics beneath turbid media via parallelized single-photon detection. - Aritra Sarkar:
QKSA: Quantum Knowledge Seeking Agent. - Mark M. Dekker, Tessa F. Blanken, Fabian Dablander, Jiamin Ou, Denny Borsboom, Debabrata Panja:
Quantifying agent impacts on contact sequences in social interactions. - Quoc-Huy Trinh, Minh-Van Nguyen:
Custom Deep Neural Network for 3D Covid Chest CT-scan Classification. - Yifeng Xiong, Soon Xin Ng, Lajos Hanzo:
Quantum Error Mitigation Relying on Permutation Filtering. - Zhenyu Yuan, Yuxin Jiang, Jingjing Li, Handong Huang:
A convolutional neural network for prestack fracture detection. - Anton Johansson, Niklas Engsner, Claes Strannegård, Petter Mostad:
Slope and generalization properties of neural networks. - Joshua N. Cooper, Grant Fickes:
Geometric vs Algebraic Nullity for Hyperpaths. - Hejie Cui, Xinglong Liu, Ning Huang:
Pulmonary Vessel Segmentation based on Orthogonal Fused U-Net++ of Chest CT Images. - Arash Badie Modiri, Abbas K. Rizi, Márton Karsai, Mikko Kivelä:
Directed Percolation in Temporal Networks. - Nastaran Enshaei, Anastasia Oikonomou, Moezedin Javad Rafiee, Parnian Afshar, Shahin Heidarian, Arash Mohammadi, Konstantinos N. Plataniotis, Farnoosh Naderkhani:
COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans. - Fu-An Chao, Shao-Wei Fan-Jiang, Bi-Cheng Yan, Jeih-weih Hung, Berlin Chen:
TENET: A Time-reversal Enhancement Network for Noise-robust ASR. - Shota Horiguchi, Shinji Watanabe, Paola García, Yawen Xue, Yuki Takashima, Yohei Kawaguchi:
Towards Neural Diarization for Unlimited Numbers of Speakers Using Global and Local Attractors. - Marco Contessoto, Facundo Mémoli, Anastasios Stefanou, Ling Zhou:
The persistent cup-length invariant. - Daxin Tan, Liqun Deng, Yu Ting Yeung, Xin Jiang, Xiao Chen, Tan Lee:
EditSpeech: A Text Based Speech Editing System Using Partial Inference and Bidirectional Fusion. - Boris Hanin:
Random Neural Networks in the Infinite Width Limit as Gaussian Processes. - Deyu Ming, Daniel B. Williamson, Serge Guillas:
Deep Gaussian Process Emulation using Stochastic Imputation. - Raj Thilak Rajan, Shoshana Ben-Maor, Shaziana Kaderali, Calum Turner, Mohammed Milhim, Catrina Melograna, Dawn Haken, Gary Paul, Vedant, Sreekumar V, Johannes Weppler, Yosephine Gumulya, Riccardo Bunt, Asia Bulgarini, Maurice Marnat, Kadri Bussov, Frederick Pringle, Jusha Ma, Rushanka Amrutkar, Miguel Coto, Jiang He, Zijian Shi, Shahd Hayder, Dina Saad Fayez Jaber, Junchao Zuo, Mohammad Alsukour, Cecile Renaud, Matthew Christie, Neta Engad, Yu Lian, Jie Wen, Ruth McAvinia, Andrew Simon-Butler, Anh Nguyen, Jacob Cohen:
Applications And Potentials Of Intelligent Swarms For Magnetospheric Studies. - Ziwei Cong, Jia Liu, Puneet Manchanda:
The Role of "Live" in Livestreaming Markets: Evidence Using Orthogonal Random Forest. - Mark M. Dekker, Raoul D. Schram, Jiamin Ou, Debabrata Panja:
The hidden dependence of spreading vulnerability on topological complexity. - Aramayis Dallakyan, Mohsen Pourahmadi:
Learning Bayesian Networks through Birkhoff Polytope: A Relaxation Method. - Xiaohong Gao, Yu Qian, Alice Gao:
COVID-VIT: Classification of COVID-19 from CT chest images based on vision transformer models. - Benjamín R. C. Bedregal, Claudilene Gomes da Costa, Eduardo Silva Palmeira, Edmundo Mansilla:
Interval probability density functions constructed from a generalization of the Moore and Yang integral. - Hamid Rahkooy, Thomas Sturm:
Testing Binomiality of Chemical Reaction Networks Using Comprehensive Gröbner System. - Sophie M. Fosson, Diego Regruto, Talal Abdalla, Abdul Salam:
A convex optimization approach to online set-membership EIV identification of LTV systems. - Salvatore Greco, Sajid Siraj, Michele Lundy:
Supporting decisions by unleashing multiple mindsets using pairwise comparisons method. - Francesco Sanna Passino, Nicholas A. Heard:
Latent structure blockmodels for Bayesian spectral graph clustering. - Spyridon Thermos, Xiao Liu, Alison O'Neil, Sotirios A. Tsaftaris:
Controllable cardiac synthesis via disentangled anatomy arithmetic. - Alejandro Osses Vecchi, Léo Varnet, Laurel H. Carney, Torsten Dau, Ian C. Bruce, Sarah Verhulst, Piotr Majdak:
A comparative study of eight human auditory models of monaural processing. - Shashank Singh, Justin Khim:
Statistical Theory for Imbalanced Binary Classification. - Soichiro Fujii, Yuni Iwamasa, Kei Kimura:
Quantaloidal approach to constraint satisfaction. 289-305 - Yuwen Huang, Pascal O. Vontobel:
Sets of Marginals and Pearson-Correlation-based CHSH Inequalities for a Two-Qubit System. - Bizhao Pang, Xinting Hu, Wei Dai, Kin Huat Low:
Third Party Risk Modelling and Assessment for Safe UAV Path Planning in Metropolitan Environments. - Jiaqi Zhang, Chandler Squires, Caroline Uhler:
Matching a Desired Causal State via Shift Interventions. - Andrea Stanco, Francesco B. L. Santagiustina, Luca Calderaro, Marco Avesani, Tommaso Bertapelle, Daniele Dequal, Giuseppe Vallone, Paolo Villoresi:
Versatile and concurrent FPGA-based architecture for practical quantum communication systems. - Reymond Mesuga, Brian James Bayanay:
On the Efficiency of Various Deep Transfer Learning Models in Glitch Waveform Detection in Gravitational-Wave Data. - Xiangyu Zheng, Xinwei Sun, Wei Chen, Tie-Yan Liu:
Causally Invariant Predictor with Shift-Robustness. - Fernando Martín Rodríguez:
PRNU Based Source Camera Identification for Webcam Videos. - Marc Hellmuth, Mira Michel, Nikolai N. Nøjgaard, David Schaller, Peter F. Stadler:
Combining Orthology and Xenology Data in a Common Phylogenetic Tree. - Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities. - Ajay Jasra, Kody J. H. Law, Fangyuan Yu:
Randomized multilevel Monte Carlo for embarrassingly parallel inference. - Jian Wu, Zhuo Chen, Sanyuan Chen, Yu Wu, Takuya Yoshioka, Naoyuki Kanda, Shujie Liu, Jinyu Li:
Investigation of Practical Aspects of Single Channel Speech Separation for ASR. - Junming Duan, Huazhong Tang:
An analytical solution of the isentropic vortex problem in the special relativistic magnetohydrodynamics. - Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay:
UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning. - Mateus Riva, Florian Yger, Pietro Gori, Roberto M. Cesar Jr., Isabelle Bloch:
Template-Based Graph Clustering. - Attila Szolnoki, Matjaz Perc:
The self-organizing impact of averaged payoffs on the evolution of cooperation. - Tamás Gábor Csapó, László Tóth, Gábor Gosztolya, Alexandra Markó:
Speech Synthesis from Text and Ultrasound Tongue Image-based Articulatory Input. - Hongping Zhang, Zhenfeng Shao, Jinqi Zhao, Xiao Huang, Jie Yang, Bin Hu, Wenfu Wu:
An extended watershed-based zonal statistical AHP model for flood risk estimation: Constraining runoff converging related indicators by sub-watersheds. - Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala:
Antithetic Riemannian Manifold And Quantum-Inspired Hamiltonian Monte Carlo. - Anand Dixit, Vivekananda Roy:
Analyzing Relevance Vector Machines using a single penalty approach. - Tamal K. Dey, Marian Mrozek, Ryan Slechta:
Persistence of Conley-Morse Graphs in Combinatorial Dynamical Systems. - Niv Vosco, Alon Shenkler, Mark Grobman:
Tiled Squeeze-and-Excite: Channel Attention With Local Spatial Context. - Zelin Ji, Zhijin Qin, Clive G. Parini:
Reconfigurable Intelligent Surface Assisted Device-to-Device Communications. - Michael Szell, Sayat Mimar, Tyler Perlman, Gourab Ghoshal, Roberta Sinatra:
Growing Urban Bicycle Networks. - Linas Stripinis, Remigijus Paulavicius:
DGO: A new DIRECT-type MATLAB toolbox for derivative-free global optimization. - Rokas Peciulis, Mantas Lukosevicius, Algimantas Krisciukaitis, Robertas Petrolis, Dovile Buteikiene:
Automated age-related macular degeneration area estimation - first results. - Xavier Aguilar, Stefano Markidis:
A Deep Learning-Based Particle-in-Cell Method for Plasma Simulations. - Özlem Salehi, Abuzer Yakaryilmaz:
State-efficient QFA Algorithm for Quantum Computers. - Koulik Khamaru, Yash Deshpande, Lester Mackey, Martin J. Wainwright:
Near-optimal inference in adaptive linear regression. - Liao Zhu, Ningning Sun, Martin T. Wells:
Clustering Structure of Microstructure Measures. - N. M. Cardoso, G. B. O. Schwarz, L. O. Dias, Clecio Roque De Bom, L. Sodré Jr., C. Mendes de Oliveira:
Morphological Classification of Galaxies in S-PLUS using an Ensemble of Convolutional Networks. - Rohollah Moosavi Tayebi, Youqing Mu, Taher Dehkharghanian, Catherine Ross, Monalisa Sur, Ronan Foley, Hamid R. Tizhoosh, Clinton J. V. Campbell:
Histogram of Cell Types: Deep Learning for Automated Bone Marrow Cytology. - Debesh Jha, Sharib Ali, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. - Xiaohui Zhang, Varun A. Kelkar, Jason L. Granstedt, Hua Li, Mark A. Anastasio:
Impact of deep learning-based image super-resolution on binary signal detection. - Ricky Chen, Timothy T. L. Yu, Gavin Xu, Da Ma, Marinko V. Sarunic, Mirza Faisal Beg:
Domain Adaptation via CycleGAN for Retina Segmentation in Optical Coherence Tomography. - Md. Abir Hossen, Prasoon K. Diwaka, Shankarachary Ragi:
Total Nitrogen Estimation in Agricultural Soils via Aerial Multispectral Imaging and LIBS. - Shutong Niu, Jun Du, Lei Sun, Chin-Hui Lee:
Separation Guided Speaker Diarization in Realistic Mismatched Conditions. - Andrew Davison, Morgane Austern:
Asymptotics of Network Embeddings Learned via Subsampling. - Yang Zheng, Giovanni Fantuzzi, Antonis Papachristodoulou:
Chordal and factor-width decompositions for scalable semidefinite and polynomial optimization. - Lev N. Shchur:
Special Purpose Computers for Statistical Physics: achievements and lessons. - Deeksha Adil, Brian Bullins, Sushant Sachdeva:
Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization. - Prince Henry Serrao, Stefan Sandfeld, Aruna Prakash:
OptiMic: A tool to generate optimized polycrystalline microstructures for materials simulations. - Vincent Moens, Aivar Sootla, Haitham Bou-Ammar, Jun Wang:
Implicit Variational Conditional Sampling with Normalizing Flows. - Dimitrios G. Zaridis, Eugenia Mylona, Kostas Marias, Nikolaos Papanikolaou, Nikolaos S. Tachos, Dimitrios I. Fotiadis:
A new smart-cropping pipeline for prostate segmentation using deep learning networks. - Anna Guitart, Ana Fernández del Río, África Periáñez:
Midwifery Learning and Forecasting: Predicting Content Demand with User-Generated Logs. - Laurence Aitchison:
InfoNCE is a variational autoencoder. - Jacqueline W. Daykin, Dominik Köppl, David Kübel, Florian Stober:
On Arithmetically Progressed Suffix Arrays and related Burrows-Wheeler Transforms. - Daesung Yu, Hoon Lee, Seok-Hwan Park, Seung-Eun Hong:
Deep Learning Methods for Joint Optimization of Beamforming and Fronthaul Quantization in Cloud Radio Access Networks. - Elijah Gutierrez, Pilar Oplustil Gallegos, Catherine Lai:
Location, Location: Enhancing the Evaluation of Text-to-Speech Synthesis Using the Rapid Prosody Transcription Paradigm. - Dror Freirich, Tomer Michaeli, Ron Meir:
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space. - Li Gao, Sander Gribling, Yinan Li:
On a tracial version of Haemers bound. - Riccardo Barbano, Zeljko Kereta, Andreas Hauptmann, Simon R. Arridge, Bangti Jin:
Unsupervised Knowledge-Transfer for Learned Image Reconstruction. - Jun Lu:
Numerical Matrix Decomposition and its Modern Applications: A Rigorous First Course. - Alexander Ziller, Dmitrii Usynin, Nicolas Remerscheid, Moritz Knolle, Marcus R. Makowski, Rickmer Braren, Daniel Rueckert, Georgios Kaissis:
Differentially private federated deep learning for multi-site medical image segmentation. - Aikaterini Anesiadou, Michail Makridis, Konstantinos Mattas, Georgios Fontaras, Biagio Ciuffo:
Characterization of drivers heterogeneity and its integration within traffic simulation. - Samuel Budd, Matthew Sinclair, Thomas G. Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jacqueline Matthew, Emily Skelton, John M. Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz:
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps. - (Withdrawn) A new family of quantum synchronizable codes from negacyclic codes.
- Nam Nguyen, J. Morris Chang:
COVID-19 Pneumonia Severity Prediction using Hybrid Convolution-Attention Neural Architectures. - Mindaugas Bloznelis, Joona Karjalainen, Lasse Leskelä:
Normal and stable approximation to subgraph counts in superpositions of Bernoulli random graphs. - Divya Varadarajan, Katherine L. Bouman, André J. W. van der Kouwe, Bruce Fischl, Adrian V. Dalca:
Unsupervised learning of MRI tissue properties using MRI physics models. - Steffen Hofmann, Ajay K. Sampathirao, Christian A. Hans, Jörg Raisch, Alexander Heidt, Erich Bosch:
Saturation-Aware Model Predictive Energy Management for Droop-Controlled Islanded Microgrids. - Maria-Gabriella Di Benedetto, Stefanie Shattuck-Hufnagel, Jeung-Yoon Choi, Luca De Nardis, Javier Arango, Ian Chan, Alec DeCaprio:
Lexical Access Model for Italian - Modeling human speech processing: identification of words in running speech toward lexical access based on the detection of landmarks and other acoustic cues to features. - Rajan Udwani:
Submodular Order Functions and Assortment Optimization. - Michele Sasdelli, Tat-Jun Chin:
Quantum Annealing Formulation for Binary Neural Networks. - Paul van der Hulst, Jan van der Kuur, Ad Nieuwenhuizen, Davide Vaccaro, Hiroki Akamatsu, Patrick van Winden, Bert-Joost van Leeuwen, Jan-Willem den Herder:
Frequency Shift Algorithm: Design of a Baseband Phase Locked Loop for Frequency-Domain Multiplexing Readout of X-ray Transition-Edge Sensor Microcalorimeters. - Arthur Charpentier, Lariosse Kouakou, Matthias Löwe, Philipp Ratz, Franck Vermet:
Collaborative Insurance Sustainability and Network Structure. - Anish Agarwal, Rahul Singh:
Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy. - Daniel Lehmann:
Representing choice functions by a total hyper-order. - Anatoly Dymarsky, Adar Sharon:
Non-rational Narain CFTs from codes over F4. - Gregor Kasieczka, Benjamin Nachman, David Shih:
New Methods and Datasets for Group Anomaly Detection From Fundamental Physics. - Semih Kara, Nuno C. Martins:
Pairwise Comparison Evolutionary Dynamics with Strategy-Dependent Revision Rates: Stability and Delta-Passivity (Expanded Version). - Shaohan Chen, Nikolaos V. Sahinidis, Chuanhou Gao:
Transfer Learning in Information Criteria-based Feature Selection. - Naoyuki Kanda, Xiong Xiao, Jian Wu, Tianyan Zhou, Yashesh Gaur, Xiaofei Wang, Zhong Meng, Zhuo Chen, Takuya Yoshioka:
A Comparative Study of Modular and Joint Approaches for Speaker-Attributed ASR on Monaural Long-Form Audio. - Renato C. Calleja, Alessandra Celletti, Joan Gimeno, Rafael de la Llave:
KAM quasi-periodic tori for the dissipative spin-orbit problem. - Qinshuang Wei, Gustav Nilsson, Samuel Coogan:
Capacity-Constrained Urban Air Mobility Scheduling. - Mahsa Doosthosseini, Kevin R. Aroom, Majid Aroom, Melissa Culligan, Warren Naselsky, Chandrasekhar Thamire, Henry W. Haslach Jr., Stephen A. Roller, James Richard Hughen, Joseph S. Friedberg, Jin-Oh Hahn, Hosam K. Fathy:
Monitoring and Control System Development and Experimental Validation for a Novel Extrapulmonary Respiratory Support Setup. - Méabh MacMahon, Woochang Hwang, Soorin Yim, Eoghan MacMahon, Alexandre Abraham, Justin Barton, Mukunthan Tharmakulasingam, Paul Bilokon, Vasanthi Priyadarshini Gaddi, Namshik Han:
Identification and validation of Triamcinolone and Gallopamil as treatments for early COVID-19 via an in silico repurposing pipeline. - Chase Shimmin:
Particle Convolution for High Energy Physics. - Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye:
Distributed stochastic optimization with large delays. - Dhruv V. Patel, Deep Ray, Assad A. Oberai:
Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors. - Suraj Mishra, Danny Z. Chen, X. Sharon Hu:
Image Complexity Guided Network Compression for Biomedical Image Segmentation. - Youssef S. G. Nashed, Frédéric Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chuck Yoon, Daniel Ratner:
End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data. - Shobhita Sundaram, Neha Hulkund:
GAN-based Data Augmentation for Chest X-ray Classification. - Vathy M. Kamulete:
Test for non-negligible adverse shifts. - Huahuan Zheng, Wenjie Peng, Zhijian Ou, Jinsong Zhang:
Advancing CTC-CRF Based End-to-End Speech Recognition with Wordpieces and Conformers. - Xinghua Ma, Gongning Luo, Wei Wang, Kuanquan Wang:
Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries. - Jakob L. Andersen, Christoph Flamm, Daniel Merkle, Peter F. Stadler:
Defining Autocatalysis in Chemical Reaction Networks. - Stefania Bellavia, Natasa Krejic, Benedetta Morini, Simone Rebegoldi:
A stochastic first-order trust-region method with inexact restoration for finite-sum minimization. - Parnian Kassraie, Andreas Krause:
Neural Contextual Bandits without Regret. - Rao Muhammad Umer, Asad Munir, Christian Micheloni:
A Deep Residual Star Generative Adversarial Network for multi-domain Image Super-Resolution. - Joseph O'Rourke, Costin Vîlcu:
Reshaping Convex Polyhedra. - Songjun Cao, Yike Zhang, Xiaobing Feng, Long Ma:
Improving Speech Recognition Accuracy of Local POI Using Geographical Models. - Kaspar Thommen:
A Closed-Form Approximation to the Conjugate Prior of the Dirichlet and Beta Distributions. - Qun Meng, Songhao Wang, Szu Hui Ng:
Combined Global and Local Search for Optimization with Gaussian Process Models. - Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang:
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis. - Luka Grbcic, Sinisa Druzeta, Goran Mausa, Tomislav Lipic, Darija Vukic Lusic, Marta Alvir, Ivana Lucin, Ante Sikirica, Davor Davidovic, Vanja Travas, Daniela Kalafatovic, Kristina Pikelj, Hana Fajkovic, Toni Holjevic, Lado Kranjcevic:
Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis. - Chunrong Feng, Yu Liu, Huaizhong Zhao:
Ergodic Numerical Approximation to Periodic Measures of Stochastic Differential Equations. - Benjamin LeRoy, David Zhao:
MD-split+: Practical Local Conformal Inference in High Dimensions. - Matteo Böhm, Mirco Nanni, Luca Pappalardo:
Improving vehicles' emissions reduction policies by targeting gross polluters. - Jonas Zehnder, Stelian Coros, Bernhard Thomaszewski:
SGN: Sparse Gauss-Newton for Accelerated Sensitivity Analysis. - Alireza Asvadi, Guillaume Dardenne, Jocelyne Troccaz, Valérie Burdin:
Bone Surface Reconstruction and Clinical Features Estimation from Sparse Landmarks and Statistical Shape Models: A feasibility study on the femur. - Ali B. Barlas, Seda Guler Mert, Berk Orkun Isa Alvaro Ortiz, Tomasa Rodrigo, Baris Soybilgen, Ege Yazgan:
Big Data Information and Nowcasting: Consumption and Investment from Bank Transactions in Turkey. - Danijela Protic, Miomir Stankovic:
The q-Levenberg-Marquardt method for unconstrained nonlinear optimization. - Fabio Valerio Massoli, Lucia Vadicamo, Giuseppe Amato, Fabrizio Falchi:
A Leap among Entanglement and Neural Networks: A Quantum Survey. - Yunzhang Zhu, Renxiong Liu:
An algorithmic view of 𝓁2 regularization and some path-following algorithms. - Tim Cvetko:
AGD-Autoencoder: Attention Gated Deep Convolutional Autoencoder for Brain Tumor Segmentation. - T. S. Sachin Venkatesh, Rajat Srivastava, Pratyush Bhatt, Prince Tyagi, Raj Kumar Singh:
A comparative study of various Deep Learning techniques for spatio-temporal Super-Resolution reconstruction of Forced Isotropic Turbulent flows. - Mattia Prosperi, Simone Marini, Christina Boucher, Jiang Bian:
Assessing putative bias in prediction of anti-microbial resistance from real-world genotyping data under explicit causal assumptions. - Tim Cvetko, Tinkara Robek:
Sleep syndromes onset detection based on automatic sleep staging algorithm. - Mikhail I. Katsnelson, Vitaly Vanchurin, Tom Westerhout:
Self-organized criticality in neural networks. - Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson:
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation. - Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran:
Model Selection for Generic Contextual Bandits. - Felix Black, Philipp Schulze, Benjamin Unger:
Decomposition of flow data via gradient-based transport optimization. - Mohammed S. Al-Abiad, Md. Zoheb Hassan, Md. Jahangir Hossain:
Energy Efficient Federated Learning in Integrated Fog-Cloud Computing Enabled Internet-of-Things Networks. - Michael Anastos:
On a k-matching algorithm and finding k-factors in random graphs with minimum degree k+1 in linear time. - Wenzhi Gao, Chunlin Sun, Yuyang Ye, Yinyu Ye:
Boosting Method in Approximately Solving Linear Programming with Fast Online Algorithm. - Hrithika Dodia, Himanshu Tandel, Lynette D'Mello:
SpecGrav - Detection of Gravitational Waves using Deep Learning. - Maxine T. Khumalo, Hazel A. Chieza, Krupa Prag, Matthew Woolway:
An investigation of IBM Quantum Computing device performance on Combinatorial Optimisation Problems. - Ningyuan Xu, Jiayan Zhuang, Jiangjian Xiao, Chengbin Peng:
Regional Differential Information Entropy for Super-Resolution Image Quality Assessment. - Leonhard Heindel, Peter Hantschke, Markus Kästner:
A hybrid virtual sensing approach for approximating non-linear dynamic system behavior using LSTM networks. - Shrikant Temburwar, Bulla Rajesh, Mohammed Javed:
Deep Learning Based Image Retrieval in the JPEG Compressed Domain. - Hyeonuk Nam, Byeong-Yun Ko, Gyeong-Tae Lee, Seong-Hu Kim, Won-Ho Jung, Sang-Min Choi, Yong-Hwa Park:
Heavily Augmented Sound Event Detection utilizing Weak Predictions. - Daniel Bar-David, Laura Bar-David, Yinon Shapira, Rina Leibu, Dalia Dori, Ronit Schneor, Anath Fischer, Shiri Soudry:
Elastic deformation of optical coherence tomography images of diabetic macular edema for deep-learning models training: how far to go? - Luca Becchetti, Adriano Fazzone, Leonardo Martini:
Network and Sequence-Based Prediction of Protein-Protein Interactions. - Arber Qoku, Florian Buettner:
Encoding Domain Information with Sparse Priors for Inferring Explainable Latent Variables. - Stefanos Papanikolaou, Mikko J. Alava:
Direct detection of plasticity onset through total-strain profile evolution. - Zongyang Du, Berrak Sisman, Kun Zhou, Haizhou Li:
Expressive Voice Conversion: A Joint Framework for Speaker Identity and Emotional Style Transfer. - Chakresh Singh, Emma Barme, Robert N. Ward, Liubov Tupikina, Marc Santolini:
Quantifying the rise and fall of scientific fields. - Esther Galby, Paloma T. Lima, Felix Mann, Bernard Ries:
Using edge contractions to reduce the semitotal domination number. - Xiu-Xiu Zhan, Kaiyue Zhang, Lun Ge, Junming Huang, ZiNan Zhang, Lu Wei, Gui-Quan Sun, Chuang Liu, Zi-Ke Zhang:
Exploring the effect of social media and spatial characteristics during the COVID-19 pandemic in China. - Arash Mehrjou:
Federated Learning as a Mean-Field Game. - Martin Roelfs, Steven De Keninck:
Graded Symmetry Groups: Plane and Simple. - Leander Vignero, Sylvia Wenmackers:
Degrees of riskiness, falsifiability, and truthlikeness. A neo-Popperian account applicable to probabilistic theories. - John Lazarsfeld, Aaron Johnson:
Consistency of the Maximal Information Coefficient Estimator. - Lucas Fidon, Michael Aertsen, Doaa Emam, Nada Mufti, Frédéric Guffens, Thomas Deprest, Philippe Demaerel, Anna L. David, Andrew Melbourne, Sébastien Ourselin, Jan Deprest, Tom Vercauteren:
Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation. - Felix L. Rios, Giusi Moffa, Jack Kuipers:
Benchpress: a scalable and platform-independent workflow for benchmarking structure learning algorithms for graphical models. - Eitan Levin, Joe Kileel, Nicolas Boumal:
Finding stationary points on bounded-rank matrices: A geometric hurdle and a smooth remedy. - Shuo Wang, Chen Qin, Nicoló Savioli, Chen Chen, Declan P. O'Regan, Stuart A. Cook, Yike Guo, Daniel Rueckert, Wenjia Bai:
Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation. - Akis Linardos, Kaisar Kushibar, Sean Walsh, Polyxeni Gkontra, Karim Lekadir:
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease. - Shuang Liang:
A hybrid deep learning framework for Covid-19 detection via 3D Chest CT Images. - Niccolò Dalmasso, David Zhao, Rafael Izbicki, Ann B. Lee:
Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning in Simulation and Uncertainty Quantification. - Rian Dolphin, Barry Smyth, Yang Xu, Ruihai Dong:
Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities. - Qianli Zhou, Guojing Tian, Yong Deng:
Quantum belief function. - Cristina Butucea, Yann Issartel:
Locally differentially private estimation of nonlinear functionals of discrete distributions. - Ryo Ito, Ryuhei Mori:
Lower bounds on the error probability of multiple quantum channel discrimination by the Bures angle and the trace distance. - Grzegorz Gruszczynski, Michal Dzikowski, Lukasz Laniewski-Wollk:
On recovering the second-order convergence of the lattice Boltzmann method with reaction-type source terms. - Subhashini Venugopalan, Joel Shor, Manoj Plakal, Jimmy Tobin, Katrin Tomanek, Jordan R. Green, Michael P. Brenner:
Comparing Supervised Models And Learned Speech Representations For Classifying Intelligibility Of Disordered Speech On Selected Phrases. - Jianing Wang, Dingjie Su, Yubo Fan, Srijata Chakravorti, Jack H. Noble, Benoit M. Dawant:
Atlas-Based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks. - Barna Pásztor, Ilija Bogunovic, Andreas Krause:
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning. - Haibo Qi, Yuhan Wang, Xinyu Liu:
3D RegNet: Deep Learning Model for COVID-19 Diagnosis on Chest CT Image. - Jin Zhang, Lu Liu, Haibo Ji:
Optimal Output Consensus of Second-Order Uncertain Nonlinear Systems on Weight-Unbalanced Directed Networks. - Nico Zettler, André Mastmeyer:
Comparison of 2D vs 3D U-Net Organ Segmentation in abdominal 3D CT images. - Antonio Laface, Alex Massarenti, Rick Rischter:
Decomposition algorithms for tensors and polynomials. - Andrea Liew, Chun Cheng Lee, Boon Leong Lan, Maxine Tan:
CASPIANET++: A Multidimensional Channel-Spatial Asymmetric Attention Network with Noisy Student Curriculum Learning Paradigm for Brain Tumor Segmentation. - Florestan Brunck:
Iterated Medial Triangle Subdivision in Surfaces of Constant Curvature. - Jiahua Rao, Shuangjia Zheng, Yuedong Yang:
Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction. - Lucia Asencio-Martín, Eduardo C. Garrido-Merchán:
Many Objective Bayesian Optimization. - Xiaohui Zhang, Vimal Manohar, David Zhang, Frank Zhang, Yangyang Shi, Nayan Singhal, Julian Chan, Fuchun Peng, Yatharth Saraf, Mike Seltzer:
On lattice-free boosted MMI training of HMM and CTC-based full-context ASR models. - Matthew Elliott, Benjamin Golub:
A Network Approach to Public Goods: A Short Summary. - Mayank Goswami:
Deep Learning models for benign and malign Ocular Tumor Growth Estimation. - Jian Luo, Jianzong Wang, Ning Cheng, Jing Xiao:
Dropout Regularization for Self-Supervised Learning of Transformer Encoder Speech Representation. - Sören Schulze, Johannes Leuschner, Emily J. King:
Training a Deep Neural Network via Policy Gradients for Blind Source Separation in Polyphonic Music Recordings. - Ryuta Moriyasu, Taro Ikeda, Sho Kawaguchi, Kenji Kashima:
Structured Hammerstein-Wiener Model Learning for Model Predictive Control. - Jurgen Aliaj, Michael Molloy:
Adaptable and conflict colouring multigraphs with no cycles of length three or four. - Dewei Hu, Can Cui, Hao Li, Kathleen E. Larson, Yuankai K. Tao, Ipek Oguz:
LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation. - Dewei Hu, Joseph D. Malone, Yigit Atay, Yuankai K. Tao, Ipek Oguz:
Retinal OCT Denoising with Pseudo-Multimodal Fusion Network. - Wenting Jiang, Yicheng Jiang, Lu Zhang, Changmiao Wang, Xiaoguang Han, Shuixing Zhang, Xiang Wan, Shuguang Cui:
Hepatocellular Carcinoma Segmentation fromDigital Subtraction Angiography Videos usingLearnable Temporal Difference. - Niklas Koenen, Marvin N. Wright, Peter Maaß, Jens Behrmann:
Generalization of the Change of Variables Formula with Applications to Residual Flows. - Sebastian Lee, Sebastian Goldt, Andrew M. Saxe:
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity. - Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos:
Block Alternating Bregman Majorization Minimization with Extrapolation. - Xinyi Wang, Xiang Yan, Xilei Zhao, Zhuoxuan Cao:
Identifying latent shared mobility preference segments in low-income communities: ride-hailing, fixed-route bus, and mobility-on-demand transit. - Xiang Chen, Nishant Ravikumar, Yan Xia, Alejandro F. Frangi:
A Deep Discontinuity-Preserving Image Registration Network. - Jan Goedgebeur, Steven Van Overberghe:
New bounds for Ramsey numbers R(Kk-e, Kl-e). - Mohamed Abdelhamid, Aleksander Czekanski:
Revisiting Non-Convexity in Topology Optimization of Compliance Minimization Problems. - Rocío González-Díaz, Manuel Soriano-Trigueros:
Persistence Partial Matchings Induced by Morphisms between Persistence Modules. - Ariel Caticha:
Entropy, Information, and the Updating of Probabilities. - Narinder Singh Punn, Sonali Agarwal:
Modality specific U-Net variants for biomedical image segmentation: A survey. - Pranshu Pant, Ruchit Doshi, Pranav Bahl, Amir Barati Farimani:
Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations. - Mohammad Emtiyaz Khan, Håvard Rue:
The Bayesian Learning Rule. - René Carmona, Mathieu Laurière:
Deep Learning for Mean Field Games and Mean Field Control with Applications to Finance. - Yassine Barhoumi, Ghulam Rasool:
Scopeformer: n-CNN-ViT Hybrid Model for Intracranial Hemorrhage Classification. - Fangcao Xu, Jian Sun, Guido Cervone, Mark Salvador:
Ill-posed Surface Emissivity Retrieval from Multi-Geometry Hyperspectral Images using a Hybrid Deep Neural Network. - Shi-Hao Li, Lu Wei:
Moments of quantum purity and biorthogonal polynomial recurrence. - Alexander Engelmann, Gösta Stomberg, Timm Faulwasser:
Toward Decentralized Interior Point Methods for Control. - Ruda Zhang, Simon Mak, David B. Dunson:
Gaussian Process Subspace Regression for Model Reduction. - Shuyun Tang, Ziming Qi, Jacob Granley, Michael Beyeler:
U-Net with Hierarchical Bottleneck Attention for Landmark Detection in Fundus Images of the Degenerated Retina. - Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl:
Longitudinal Correlation Analysis for Decoding Multi-Modal Brain Development. - Jiaming Cheng, Duong Tung Nguyen, Vijay K. Bhargava:
Resilient Edge Service Placement and Workload Allocation under Uncertainty. - Yuling Jiao, Lican Kang, Yanyan Liu, Youzhou Zhou:
Convergence Analysis of Schr{ö}dinger-F{ö}llmer Sampler without Convexity. - Radu Miron, Cosmin Moisii, Sergiu Dinu, Mihaela Breaban:
COVID Detection in Chest CTs: Improving the Baseline on COV19-CT-DB. - Li Lin, Zhonghua Wang, Jiewei Wu, Yijin Huang, Junyan Lyu, Pujin Cheng, Jiong Wu, Xiaoying Tang:
BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images. - Thomas Gauthey, Peter Gangl, Maya Hage Hassan:
Multi-Material Topology Optimization with Continuous Magnetization Direction for Permanent Magnet Synchronous Reluctance Motors. - Johann Pfitzinger:
Cluster Regularization via a Hierarchical Feature Regression. - Maurice Margenstern:
A strongly universal cellular automaton with four states. - Zhuangzhuang Zhang, Tianyu Zhao, Hiram Gay, Weixiong Zhang, Baozhou Sun:
Weaving Attention U-net: A Novel Hybrid CNN and Attention-based Method for Organs-at-risk Segmentation in Head and Neck CT Images. - Helmut Wasserbacher, Martin Spindler:
Machine Learning for Financial Forecasting, Planning and Analysis: Recent Developments and Pitfalls. - Basit O. Alawode, Mudassir Masood, Tarig Ballal, Tareq Y. Al-Naffouri:
Dense-Sparse Deep CNN Training for Image Denoising. - Ulises Fidalgo:
A multi-orthogonal polynomials' approach to bulk queueing theory. - Mohammad Nayeem Teli:
TeliNet, a simple and shallow Convolution Neural Network (CNN) to Classify CT Scans of COVID-19 patients. - Xiaohong Fan, Yin Yang, Jianping Zhang:
Deep Geometric Distillation Network for Compressive Sensing MRI. - Ilias Chenn, Wei Wang, Shiwen Zhang:
Approximating the ground state eigenvalue via the effective potential. - Ravi Shankar, Archana Venkataraman:
A Deep-Bayesian Framework for Adaptive Speech Duration Modification. - Shami Nisimov, Yaniv Gurwicz, Raanan Y. Rohekar, Gal Novik:
Improving Efficiency and Accuracy of Causal Discovery Using a Hierarchical Wrapper. - Søren Ager Meldgaard, Jonas Köhler, Henrik Lund Mortensen, Mads-Peter V. Christiansen, Frank Noé, Bjørk Hammer:
Generating stable molecules using imitation and reinforcement learning. - Thomas Cailleteau:
Jaynes & Shannon's Constrained Ignorance and Surprise. - Phan Ngoc Lan, Nguyen Sy An, Dao Viet Hang, Dao Van Long, Tran Quang Trung, Nguyen Thi Thuy, Dinh Viet Sang:
NeoUNet: Towards accurate colon polyp segmentation and neoplasm detection. - Pouya Hallaj Zavareh, Atefeh Safayari, Hamidreza Bolhasani:
BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading. - Ali J. Ramadhan:
T-s3ra: traffic-aware scheduling for secure slicing and resource allocation in sdn/nfv enabled 5g networks. - Gorkem Polat, Yesim Serinagaoglu Dogrusöz, Ugur Halici:
Effect of Input Size on the Classification of Lung Nodules Using Convolutional Neural Networks. - Lucille Calmon, Juan G. Restrepo, Joaquín J. Torres, Ginestra Bianconi:
Topological synchronization: explosive transition and rhythmic phase. - Basit O. Alawode, Mudassir Masood, Tarig Ballal, Tareq Y. Al-Naffouri:
Details Preserving Deep Collaborative Filtering-Based Method for Image Denoising. - Naoki Saito, Yiqun Shao:
eGHWT: The extended Generalized Haar-Walsh Transform. - (Withdrawn) Bounds for Multiple Packing and List-Decoding Error Exponents.
- Sleiman Mhanna, Pierluigi Mancarella:
An Exact Sequential Linear Programming Algorithm for the Optimal Power Flow Problem. - Jihao Fan, Jun Li, Ya Wang, Yonghui Li, Min-Hsiu Hsieh, Jiangfeng Du:
From Generalization of Bacon-Shor Codes to High Performance Quantum LDPC Codes. - Xinyu Gao, Tianlang Wang, Jing Yang, Jinchao Tao, Yanqing Qiu, Yanlong Meng, Bangning Mao, Pengwei Zhou, Yi Li:
Deep-learning-based Hyperspectral imaging through a RGB camera. - Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian:
Deep Risk Model: A Deep Learning Solution for Mining Latent Risk Factors to Improve Covariance Matrix Estimation. - Anirudh Sreeram, Nicholas Mehlman, Raghuveer Peri, Dillon Knox, Shrikanth Narayanan:
Perceptual-based deep-learning denoiser as a defense against adversarial attacks on ASR systems. - Xinyu Bian, Yuyi Mao, Jun Zhang:
Joint Activity Detection, Channel Estimation, and Data Decoding for Grant-free Massive Random Access. - Bingzhi Chen, Yishu Liu, Zheng Zhang, Guangming Lu, David Zhang:
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation. - Rongkai Zhang, Jiang Zhu, Zhiyuan Zha, Justin Dauwels, Bihan Wen:
R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery. - Amit Peleg, Naama Pearl, Ron Meir:
Metalearning Linear Bandits by Prior Update. - Chih-Chung Hsu, Guan-Lin Chen, Mei-Hsuan Wu:
Visual Transformer with Statistical Test for COVID-19 Classification. - Numan Celik, Sharib Ali, Soumya Gupta, Barbara Braden, Jens Rittscher:
EndoUDA: A modality independent segmentation approach for endoscopy imaging. - Pál András Papp, Roger Wattenhofer:
Debt Swapping for Risk Mitigation in Financial Networks. - Vahidullah Tac, Vivek D. Sree, Manuel K. Rausch, Adrian Buganza Tepole:
Data-driven Modeling of the Mechanical Behavior of Anisotropic Soft Biological Tissue. - Enda Carroll, Andrew Gloster, Miguel D. Bustamante, Lennon Ó. Náraigh:
A Batched GPU Methodology for Numerical Solutions of Partial Differential Equations. - Igor Sfiligoi, Daniel McDonald, Rob Knight:
Enabling microbiome research on personal devices. - Xinxin Yang, Mark Stamp:
Computer-Aided Diagnosis of Low Grade Endometrial Stromal Sarcoma (LGESS). - Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston:
Bayesian brains and the Rényi divergence. - Vishwesh Nath, Dong Yang, Ali Hatamizadeh, Anas A. Abidin, Andriy Myronenko, Holger Roth, Daguang Xu:
The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation. - Bo Zhou, Rui Wang, Ming-Kai Chen, Adam P. Mecca, Ryan S. O'Dell, Christopher H. van Dyck, Richard E. Carson, James S. Duncan, Chi Liu:
Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network. - Guangsheng Ma, Hongbo Li, Jiman Zhao:
Quantum Radon Transform and Its Application. - Andrea Baronchelli:
Collective intelligence and the blockchain: Technology, communities and social experiments. - Weijie Gan, Yu Sun, Cihat Eldeniz, Jiaming Liu, Hongyu An, Ulugbek S. Kamilov:
MoDIR: Motion-Compensated Training for Deep Image Reconstruction without Ground Truth. - Nicklas Werge:
Predicting Risk-adjusted Returns using an Asset Independent Regime-switching Model. - Tamás Gábor Csapó:
Extending Text-to-Speech Synthesis with Articulatory Movement Prediction using Ultrasound Tongue Imaging. - Riza Özçelik, Alperen Bag, Berk Atil, Arzucan Özgür, Elif Özkirimli:
DebiasedDTA: Model Debiasing to Boost Drug-Target Affinity Prediction. - Koushik Biswas, Sandeep Kumar, Ashish Kumar Pandey:
Tropical cyclone intensity estimations over the Indian ocean using Machine Learning. - Stuart Patching:
On Divergence- and Gradient-Preserving Coarse-Graining for Finite Volume Primitive Equation Ocean Models. - James Anderson, Anton Bernshteyn, Abhishek Dhawan:
Coloring graphs with forbidden bipartite subgraphs. - John C. Baez:
The Fundamental Theorem of Natural Selection. - Nicola K. Dinsdale, Emma Bluemke, Vaanathi Sundaresan, Mark Jenkinson, Stephen M. Smith, Ana I. L. Namburete:
Challenges for machine learning in clinical translation of big data imaging studies. - Onur Günlü, Rafael F. Schaefer, H. Vincent Poor:
Quality of Service Guarantees for Physical Unclonable Functions. - Guillermo B. Morales, Miguel A. Muñoz:
Optimal input representation in neural systems at the edge of chaos. - Shengjia Zhao, Michael P. Kim, Roshni Sahoo, Tengyu Ma, Stefano Ermon:
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration. - Carmen Melo Toledo, Guilherme Mendes Bassedon, Jonathan Batista Ferreira, Lucka de Godoy Gianvechio, Carlos Guatimosim, Felipe Maia Polo, Renato Vicente:
Effects of personality traits in predicting grade retention of Brazilian students. - Kamila Janzakova, Mahdi Ghazal, Ankush Kumar, Yannick Coffinier, Sébastien Pecqueur, Fabien Alibart:
Dendritic organic electrochemical transistors grown by electropolymerization for 3D neuromorphic engineering. - Jingyi Zhang, Xiaoxiao Sun:
Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression. - Hang-Hyun Jo, Eun Lee, Young-Ho Eom:
Analytical approach to the generalized friendship paradox in networks with correlated attributes. - Bernd Bischl, Martin Binder, Michel Lang, Tobias Pielok, Jakob Richter, Stefan Coors, Janek Thomas, Theresa Ullmann, Marc Becker, Anne-Laure Boulesteix, Difan Deng, Marius Lindauer:
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges. - Avishek Ghosh, Sayak Ray Chowdhury, Kannan Ramchandran:
Model Selection with Near Optimal Rates for Reinforcement Learning with General Model Classes. - Moshe Babaioff, Nicole Immorlica, Yingkai Li, Brendan Lucier:
On the Impact of Information Acquisition and Aftermarkets on Auction Efficiency. - Menglong Xu, Shengqiang Li, Chengdong Liang, Xiao-Lei Zhang:
AUC Optimization for Robust Small-footprint Keyword Spotting with Limited Training Data. - Thomas Y. Hou:
Potential singularity of the 3D Euler equations in the interior domain. - Long Zhou, Jinyu Li, Eric Sun, Shujie Liu:
A Configurable Multilingual Model is All You Need to Recognize All Languages. - Liang Chen, Xinxin Hui, Songlin Gu, Manyun Huang, Yang Li:
Dynamic State Estimation for Integrated Natural Gas and Electric Power Systems. - Giovanni Viglietta:
A Theory of Spherical Diagrams. - Ivan Stepanov, Artyom Voronov, Aleksandr Beznosikov, Alexander V. Gasnikov:
One-Point Gradient-Free Methods for Composite Optimization with Applications to Distributed Optimization. - Camila González, Karol Gotkowski, Andreas Bucher, Ricarda Fischbach, Isabel Kaltenborn, Anirban Mukhopadhyay:
Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation. - Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez:
Deep Autoregressive Models with Spectral Attention. - Sebastian Pölsterl, Tom Nuno Wolf, Christian Wachinger:
Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform. - Narges Gholipoor, Ali Nouruzi, Shima Salar Hosseini, Mohammad Reza Javan, Nader Mokari, Eduard A. Jorswieck:
Learning based E2E Energy Efficient in Joint Radio and NFV Resource Allocation for 5G and Beyond Networks. - Noga Alon, Jeremy Chizewer:
On the Hat Guessing Number of Graphs. - Samuel Rikli, Daniel Nico Bigler, Moritz Pfenninger, Jörg Osterrieder:
Wasserstein GAN: Deep Generation applied on Bitcoins financial time series. - Hartmut Bauermeister, Emanuel Laude, Thomas Möllenhoff, Michael Möller, Daniel Cremers:
Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields. - Haiyang Wang, Guangyu Zhou, Siqi Liu, Jyun-Yu Jiang, Wei Wang:
Drug-Target Interaction Prediction with Graph Attention networks. - Badr Tajini, Hugo Richard, Bertrand Thirion:
Functional Magnetic Resonance Imaging data augmentation through conditional ICA. - Zhenning Li, Chengzhong Xu, Guohui Zhang:
A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization. - Timo Schorlepp, Tobias Grafke, Sandra May, Rainer Grauer:
Spontaneous Symmetry Breaking for Extreme Vorticity and Strain in the 3D Navier-Stokes Equations. - Wen-Juan Liu, Dazheng Feng, Bingnan Pei, Mengdao Xing, Xinhong Meng, Qianru Wei:
Robust Blind Source Separation by Soft Decision-Directed Non-Unitary Joint Diagonalization. - Basheeruddin Shah Shaik, Vijay Kumar Chakka, Arikatla Satyanarayana Reddy:
Orthogonal and Non-Orthogonal Signal Representations Using New Transformation Matrices Having NPM Structure. - Juyong Lee, Youngsang Cho:
National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model? - Javad Hassannataj Joloudari, Sanaz Mojrian, Issa Nodehi, Amir Mashmool, Zeynab Kiani Zadegan, Sahar Khanjani Shirkharkolaie, Tahereh Tamadon, Samiyeh Khosravi, Mitra Akbari, Edris Hassannataj, Roohallah Alizadehsani, Danial Sharifrazi, Amir Mosavi:
A Survey of Applications of Artificial Intelligence for Myocardial Infarction Disease Diagnosis. - R. Ildar:
Raspberry PI for compact autonomous home farm control. - Selen Gecgel, Gunes Karabulut-Kurt:
Intermittent Jamming against Telemetry and Telecommand of Satellite Systems and A Learning-driven Detection Strategy. - Dai Li, Kaiyuan Yang:
A Self-Regulated and Reconfigurable CMOS Physically Unclonable Function Featuring Zero-Overhead Stabilization. - Jie Chen, Zaifeng Yang, Tsz Nam Chan, Hui Li, Junhui Hou, Lap-Pui Chau:
Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration. - Gavin S. Hartnett, Edward Parker, Timothy R. Gulden, Raffaele Vardavas, David Kravitz:
Modeling the Impact of Social Distancing and Targeted Vaccination on the Spread of COVID-19 through a Real City-Scale Contact Network. - Kanishk, Tanishk Nandal, Prince Tyagi, Raj Kumar Singh:
Parameterization of Forced Isotropic Turbulent Flow using Autoencoders and Generative Adversarial Networks. - Sudhir Suman, Gagandeep Singh, Nicole Sakla, Rishabh Gattu, Jeremy Green, Tej Phatak, Dimitris Samaras, Prateek Prasanna:
Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms. - Islem Mhiri, Ahmed Nebli, Mohamed Ali Mahjoub, Islem Rekik:
Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping. - Sven Köppel, Alexandra Krause, Bernd Ulmann:
Analog Computing for Molecular Dynamics. - Philipp Werner, Martin Burger, Florian Frank, Harald Garcke:
A Diffuse Interface Model for Cell Blebbing Including Membrane-Cortex Coupling with Linker Dynamics. - Weiwei Hu, Jun Liu, Zhu Wang:
Bilinear Control of Convection-Cooling: From Open-Loop to Closed-Loop. - Ushnish Sengupta, Günther Waxenegger-Wilfing, Jan Martin, Justin Hardi, Matthew P. Juniper:
Forecasting Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Multimodal Bayesian Deep Learning. - Mohsen Heidari, Arun Padakandla, Wojciech Szpankowski:
A Theoretical Framework for Learning from Quantum Data. - Brian L. Trippe, Hilary K. Finucane, Tamara Broderick:
For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets. - Lirong Xia:
A Smoothed Impossibility Theorem on Condorcet Criterion and Participation. - Hengtao Guo, Xuanang Xu, Sheng Xu, Bradford J. Wood, Pingkun Yan:
End-to-end Ultrasound Frame to Volume Registration. - Haisheng Fu, Feng Liang, Jianping Lin, Bing Li, Mohammad Akbari, Jie Liang, Guohe Zhang, Dong Liu, Chengjie Tu, Jingning Han:
Learned Image Compression with Discretized Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules. - Lu Zhang, Chenxing Li, Feng Deng, Xiaorui Wang:
Multi-Task Audio Source Separation. - Wenqi Fang, Guanlin Wu, Jingjing Li, Zheng Wang, Jiang Cao, Yang Ping:
Spectrum Gaussian Processes Based On Tunable Basis Functions. - Yohsuke Murase, Hang-Hyun Jo, János Török, János Kertész, Kimmo Kaski:
Deep learning based parameter search for an agent based social network model. - Thomas Y. Hou:
The nearly singular behavior of the 3D Navier-Stokes equations. - Zeeshan Akhtar, Ketan Rajawat:
Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization. - Meng Xu, Zhihao Wang, Jiasong Zhu, Xiuping Jia, Sen Jia:
Multi-Attention Generative Adversarial Network for Remote Sensing Image Super-Resolution. - Tao Qian, Lei Dai, Liming Zhang, Zehua Chen:
A Granular Sieving Algorithm for Deterministic Global Optimization. - Ruijie Tao, Zexu Pan, Rohan Kumar Das, Xinyuan Qian, Mike Zheng Shou, Haizhou Li:
Is Someone Speaking? Exploring Long-term Temporal Features for Audio-visual Active Speaker Detection. - Sheryl Le Chang, Oliver M. Cliff, Cameron Zachreson, Mikhail Prokopenko:
Nowcasting transmission and suppression of the Delta variant of SARS-CoV-2 in Australia. - Shruthi Bannur, Ozan Oktay, Melanie Bernhardt, Anton Schwaighofer, Rajesh Jena, Besmira Nushi, Sharan Wadhwani, Aditya V. Nori, Kal Natarajan, Shazad Ashraf, Javier Alvarez-Valle, Daniel C. Castro:
Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs. - Michele Coghi, Torstein Nilssen, Nikolas Nüsken:
Rough McKean-Vlasov dynamics for robust ensemble Kalman filtering. - Lukas Krenz, Carsten Uphoff, Thomas Ulrich, Alice-Agnes Gabriel, Lauren S. Abrahams, Eric M. Dunham, Michael Bader:
3D Acoustic-Elastic Coupling with Gravity: The Dynamics of the 2018 Palu, Sulawesi Earthquake and Tsunami. - Manh Luong, Viet-Anh Tran:
Many-to-Many Voice Conversion based Feature Disentanglement using Variational Autoencoder. - Matthew E. Levine, Andrew M. Stuart:
A Framework for Machine Learning of Model Error in Dynamical Systems. - Florian Ziel:
M5 Competition Uncertainty: Overdispersion, distributional forecasting, GAMLSS and beyond. - Miguel Angel Gutierrez-Estevez, Martin Kasparick, Renato L. G. Cavalvante, Slawomir Stanczak:
Hybrid Model and Data Driven Algorithm for Online Learning of Any-to-Any Path Loss Maps. - Frank Schweitzer, Georges Andres:
Social nucleation: Group formation as a phase transition. - Ellis Wilson, Frank Mueller, Lindsay Bassman, Costin Iancu:
Empirical Evaluation of Circuit Approximations on Noisy Quantum Devices. - Matej Hejda, Juan Arturo Alanis, Ignacio Ortega-Piwonka, João Lourenço, José M. L. Figueiredo, Julien Javaloyes, Bruno Romeira, Antonio Hurtado:
Resonant tunnelling diode nano-optoelectronic spiking nodes for neuromorphic information processing. - Gonçalo Mestre, Ruxandra Barbulescu, Arlindo L. Oliveira, L. Miguel Silveira:
Modelling Neuronal Behaviour with Time Series Regression: Recurrent Neural Networks on C. Elegans Data. - Miklós Z. Rácz, Anirudh Sridhar:
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities. - Yan Ding, Xiaoqian Jiang, Yejin Kim:
Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules. - Bob Coecke, Giovanni de Felice, Konstantinos Meichanetzidis, Alexis Toumi:
How to make qubits speak. - Mimansa Rana, Nanxiang Mao, Ming Ao, Xiaohui Wu, Poning Liang, Matloob Khushi:
Clustering and attention model based for Intelligent Trading. - Magnus Bakke Botnan, Steffen Oppermann, Steve Oudot:
Signed Barcodes for Multi-Parameter Persistence via Rank Decompositions and Rank-Exact Resolutions. - Hong Wang, Qi Xie, Qian Zhao, Yong Liang, Deyu Meng:
RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining. - Jacek Gondzio, Spyridon Pougkakiotis, John W. Pearson:
General-purpose preconditioning for regularized interior point methods. - Basit Olakunle Alawode, Motaz Alfarraj:
Meta-Optimization of Deep CNN for Image Denoising Using LSTM. - Johanna Erdmenger, Kevin T. Grosvenor, Ro Jefferson:
Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group. - Jean Barbier, Wei-Kuo Chen, Dmitry Panchenko, Manuel Sáenz:
Performance of Bayesian linear regression in a model with mismatch. - Salomón Wollenstein-Betech, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Planning Strategies for Lane Reversals in Transportation Networks. - Sueda Taner, Christoph Studer:
Optimality of the Discrete Fourier Transform for Beamspace Massive MU-MIMO Communication. - Edin Husic, Georg Loho, Ben Smith, László A. Végh:
On complete classes of valuated matroids. - Wallace A. Martins, Symeon Chatzinotas, Björn E. Ottersten:
Frequency-packed Faster-than-Nyquist Signaling via Symbol-level Precoding for Multi-user MISO Redundant Transmissions. - Danylo Malyuta, Behçet Açikmese:
Fast Homotopy for Spacecraft Rendezvous Trajectory Optimization with Discrete Logic. - Budhi Surya:
A new class of conditional Markov jump processes with regime switching and path dependence: properties and maximum likelihood estimation. - Bharath Keshavamurthy, Nicolò Michelusi:
Learning-based Spectrum Sensing and Access in Cognitive Radios via Approximate POMDPs. - Subhonmesh Bose, Hoa Dinh Nguyen, Haitian Liu, Ye Guo, Thinh T. Doan, Carolyn L. Beck:
Distributed Grid Optimization via Distributed Dual Subgradient Methods with Averaging. - Dae-Hyeok Lee, Sung-Jin Kim, Seong-Whan Lee:
DAL: Feature Learning from Overt Speech to Decode Imagined Speech-based EEG Signals with Convolutional Autoencoder. - Andrew Nemec, Andreas Klappenecker:
A Combinatorial Interpretation for the Shor-Laflamme Weight Enumerators of CWS Codes. - Noam Finkelstein, Beata Zjawin, Elie Wolfe, Ilya Shpitser, Robert W. Spekkens:
Entropic Inequality Constraints from e-separation Relations in Directed Acyclic Graphs with Hidden Variables. - Matthew Dowling, Piotr A. Sokól, Il Memming Park:
Hida-Matérn Kernel. - James Stokes, Saibal De, Shravan K. Veerapaneni, Giuseppe Carleo:
Continuous-variable neural-network quantum states and the quantum rotor model. - Hideaki Ishibashi, Shotaro Akaho:
Principal component analysis for Gaussian process posteriors. - David Angwenyi:
Estimation of spatially varying parameters with application to hyperbolic SPDEs. - Andrew D. Moyes, Richard Gault, Kun Zhang, Ji Ming, Danny Crookes, Jing Wang:
Multi-Channel Auto-Encoders and a Novel Dataset for Learning Domain Invariant Representations of Histopathology Images. - Chong Tang, Wenda Li, Shelly Vishwakarma, Fangzhan Shi, Simon Julier, Kevin Chetty:
FMNet: Latent Feature-wise Mapping Network for Cleaning up Noisy Micro-Doppler Spectrogram. - Ziyu Xu, Ruodu Wang, Aaditya Ramdas:
A unified framework for bandit multiple testing. - Abdelghani Maddi, David Sapinho:
Article Processing Charges based publications: to which extent the price explains scientific impact? - Lorenzo Lucchini, Luca Maria Aiello, Laura Alessandretti, Gianmarco De Francisci Morales, Michele Starnini, Andrea Baronchelli:
From Reddit to Wall Street: The role of committed minorities in financial collective action. - Pawel Wocjan, Kristan Temme:
Szegedy Walk Unitaries for Quantum Maps. - Nancy E. Clarke, Stephen Finbow, Margaret-Ellen Messinger, Amanda Porter:
A note on hyperopic cops and robber. - Gerasimos Arvanitis:
Spectral Processing and Optimization of Static and Dynamic 3D Geometries. - Shakib Mustavee, Shaurya Agarwal, Chinwendu Enyioha, Suddhasattwa Das:
A Linear Dynamical Perspective on Epidemiology: Interplay Between Early COVID-19 Outbreak and Human Mobility. - Thaer Sahmoud, Wesam Ashor:
Assign Hysteresis Parameter For Ericsson BTS Power Saving Algorithm Using Unsupervised Learning. - Nipuni Uthpala Ginige, K. B. Shashika Manosha, Nandana Rajatheva, Matti Latva-aho:
Untrained DNN for Channel Estimation of RIS-Assisted Multi-User OFDM System with Hardware Impairments. - Amir Ivry, Elad Fisher, Roger Alimi, Idan Mosseri, Kanna Nahir:
Multiclass Permanent Magnets Superstructure for Indoor Localization using Artificial Intelligence. - Neil Jethani, Mukund Sudarshan, Ian Covert, Su-In Lee, Rajesh Ranganath:
FastSHAP: Real-Time Shapley Value Estimation. - Yonatan Carlos Carranza Alarcón, Sébastien Destercke:
Multi-label Chaining with Imprecise Probabilities. - João P. C. Bertoldo, Etienne Decencière, David Ryckelynck, Henry Proudhon:
A modular U-Net for automated segmentation of X-ray tomography images in composite materials. - Michal Derezinski, Jonathan Lacotte, Mert Pilanci, Michael W. Mahoney:
Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update. - Francisco Valente, Simão Paredes, Jorge Henriques:
Personalized and Reliable Decision Sets: Enhancing Interpretability in Clinical Decision Support Systems. - Hao He, Tian Zhou, Lihua Ren, Niklas Karlsson, Aaron Flores:
Mid-flight Forecasting for CPA Lines in Online Advertising. - Christian J. Steinmetz, Vamsi Krishna Ithapu, Paul Calamia:
Filtered Noise Shaping for Time Domain Room Impulse Response Estimation From Reverberant Speech. - Hirofumi Inaguma, Tatsuya Kawahara:
VAD-free Streaming Hybrid CTC/Attention ASR for Unsegmented Recording. - Maria Carnovale, Khahlil Louisy:
Public Health, Technology, and Human Rights: Lessons from Digital Contact Tracing. - Behrooz Mamandipoor, Wesley Yeung, Louis Agha-Mir-Salim, David J. Stone, Venet Osmani, Leo Anthony Celi:
Prediction of Blood Lactate Values in Critically Ill Patients: A Retrospective Multi-center Cohort Study. - Nikodem Grzesiak, Andrii Maksymov, Pradeep Niroula, Yun Seong Nam:
Efficient quantum programming using EASE gates on a trapped-ion quantum computer. - Samuel Lanthaler, Siddhartha Mishra, Franziska Weber:
On the well-posedness of Bayesian inversion for PDEs with ill-posed forward problems. - Chen-Chou Lo, Patrick Vandewalle:
Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression Network. - Joshua M. Scurll:
Measuring inter-cluster similarities with Alpha Shape TRIangulation in loCal Subspaces (ASTRICS) facilitates visualization and clustering of high-dimensional data. - Takuya Higuchi, Anmol Gupta, Chandra Dhir:
Multi-task Learning with Cross Attention for Keyword Spotting. - Sanjaya Lohani, Joseph M. Lukens, Daniel E. Jones, Thomas A. Searles, Ryan T. Glasser, Brian T. Kirby:
Improving application performance with biased distributions of quantum states. - Shaojun Ma, Pengcheng Li:
Predicting Daily Trading Volume via Various Hidden States. - Yuming Chen, Daniel Sanz-Alonso, Rebecca Willett:
Auto-differentiable Ensemble Kalman Filters. - Evgeny Lavrik, M. Shiroya, Hans Rudolf Schmidt, A. Toia, J. M. Heuser:
Optical Inspection of the Silicon Micro-strip Sensors for the CBM Experiment employing Artificial Intelligence. - Xinyi Chen, Udaya Ghai, Elad Hazan, Alexandre Megretski:
Robust Online Control with Model Misspecification. - Caroline Geiersbach, Estefanía Loayza-Romero, Kathrin Welker:
PDE-constrained shape optimization: towards product shape spaces and stochastic models. - Francesco Cognolato, Kieran O'Brien, Jin Jin, Simon Robinson, Frederik B. Laun, Markus Barth, Steffen Bollmann:
NeXtQSM - A complete deep learning pipeline for data-consistent quantitative susceptibility mapping trained with hybrid data. - Daniele Musso:
Entropic alternatives to initialization. - Alessio Mascolini, Dario Cardamone, Francesco Ponzio, Santa Di Cataldo, Elisa Ficarra:
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-study. - Yuval Filmus:
Almost linear Boolean functions on Sn are almost unions of cosets. - Rafail Ismayilov, Renato L. G. Cavalcante, Slawomir Stanczak:
Deep Learning Based Hybrid Precoding in Dual-Band Communication Systems. - Gunnar König, Timo Freiesleben, Moritz Grosse-Wentrup:
A Causal Perspective on Meaningful and Robust Algorithmic Recourse. - Samitha Somathilaka, Daniel P. Martins, Wiley Barton, Orla O'Sullivan, Paul D. Cotter, Sasitharan Balasubramaniam:
A Graph-based Molecular Communications Model Analysis of the Human Gut Bacteriome. - Ushnish Sengupta, Alexandros Kontogiannis, Matthew P. Juniper:
Simultaneous boundary shape estimation and velocity field de-noising in Magnetic Resonance Velocimetry using Physics-informed Neural Networks. - Ben Moseley, Andrew Markham, Tarje Nissen-Meyer:
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations. - Trikay Nalamada, Shruti Agarwal, Maria Jahja, Bibhas Chakraborty, Palash Ghosh:
A Penalized Shared-parameter Algorithm for Estimating Optimal Dynamic Treatment Regimens. - Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang:
Tracing Halpha Fibrils through Bayesian Deep Learning. - Marthe Bonamy, Oscar Defrain, Tereza Klimosová, Aurélie Lagoutte, Jonathan Narboni:
On Vizing's edge colouring question. - Kanglin Liu, Gaofeng Cao, Jiang Duan, Guoping Qiu:
Lightness Modulated Deep Inverse Tone Mapping. - Carlo Michele Valensise, Matteo Cinelli, Matthieu Nadini, Alessandro Galeazzi, Antonio Peruzzi, Gabriele Etta, Fabiana Zollo, Andrea Baronchelli, Walter Quattrociocchi:
The COVID-19 infodemic does not affect vaccine acceptance. - Nicoló Savioli, Antonio de Marvao, Wenjia Bai, Shuo Wang, Stuart A. Cook, Calvin W. L. Chin, Daniel Rueckert, Declan P. O'Regan:
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation. - Jue Jiang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan:
Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation. - Marylou Gabrié, Grant M. Rotskoff, Eric Vanden-Eijnden:
Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods. - Tejaswi K. C., Taeyoung Lee:
Geometric Optimal Controls for Flapping Wing UAV on a Lie Group. - Kimon Antonakopoulos, Panayotis Mertikopoulos:
Adaptive first-order methods revisited: Convex optimization without Lipschitz requirements. - Cole Miles, Matthew R. Carbone, Erica J. Sturm, Deyu Lu, Andreas Weichselbaum, Kipton Barros, Robert M. Konik:
Machine-learning Kondo physics using variational autoencoders. - Yiye Jiang, Jérémie Bigot, Sofian Maabout:
Online Graph Topology Learning from Matrix-valued Time Series. - Adrien Brilhault, Sergio Neuenschwander, Ricardo Araújo Rios:
A New Robust Multivariate Mode Estimator for Eye-tracking Calibration. - Charles F. Jekel, Raphael T. Haftka:
Testing Surrogate-Based Optimization with the Fortified Branin-Hoo Extended to Four Dimensions. - Milán Mosonyi:
The strong converse exponent of discriminating infinite-dimensional quantum states. - Yuri I. Ozhigov:
Quantum computations (course of lectures). - Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. - Yilin Liu, Yong Chen, Pew-Thian Yap:
Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting. - Ikko Yamane, Junya Honda, Florian Yger, Masashi Sugiyama:
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences. - Eric Wright, Damien Przybylski, Matthias Rempel, Cena Miller, Supreeth Suresh, Shiquan Su, Richard Loft, Sunita Chandrasekaran:
Refactoring the MPS/University of Chicago Radiative MHD(MURaM) Model for GPU/CPU Performance Portability Using OpenACC Directives. - Lulu Zhang, Zhi-Qin John Xu, Yaoyu Zhang:
Data-informed Deep Optimization. - Panagiota Birmpa, Jinchao Feng, Markos A. Katsoulakis, Luc Rey-Bellet:
Model Uncertainty and Correctability for Directed Graphical Models. - Dirk Tasche:
Minimising quantifier variance under prior probability shift. - Michael Muehlebach, Michael I. Jordan:
On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems. - Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan:
Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression. - Sumana Bhattacharjee:
Design and Fabrication of a Microfluidic System with Nozzle/Diffuser Micropump and Viscosity. - Yuri Gurevich, Andreas Blass:
Quantum circuits with classical channels and the principle of deferred measurements. - Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Prateek Prasanna:
Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction. - Liupeng Lin, Jie Li, Huanfeng Shen, Lingli Zhao, Qiangqiang Yuan, Xinghua Li:
Fully Polarimetric SAR and Single-Polarization SAR Image Fusion Network. - Anant Gupta, Idriss J. Aberkane, Sourangshu Ghosh, Adrian Abold, Alexander Rahn, Eldar Sultanow:
Rotating Binaries. - David Angwenyi:
Feedback Particle Filter With Stochastically Perturbed Innovation And Its Application to Dual Estimation. - Xiaoheng Sun, Yiliang Jiang, Wei Li:
Residual Attention Based Network for Automatic Classification of Phonation Modes. - Shibabrat Naik, Vladimír Krajnák, Stephen Wiggins:
Support vector machines for learning reactive islands. - Noemie Combe, Philippe Combe, Hanna Nencka:
Frobenius statistical manifolds & geometric invariants. - Gergo Gyenizse, Miklós Maróti, László Zádori:
Congruence permutability is prime. - Mehdi Hosseinzadeh, Ilya V. Kolmanovsky, Sanjoy K. Baruah, Bruno Sinopoli:
Reference Governor-Based Fault-Tolerant Constrained Control. - Luca Martino, Víctor Elvira:
Compressed Monte Carlo with application in particle filtering. - Yung-Han Ho, Chih-Chun Chan, Wen-Hsiao Peng, Hsueh-Ming Hang, Marek Domanski:
ANFIC: Image Compression Using Augmented Normalizing Flows. - Sherwood Martineau, Tim Saffold, Timothy Chang, Henrik Ronellenfitsch:
Enhancing synchronization by optimal correlated noise. - Pranali Kokate, Sidharth Pancholi, Amit Mahesh Joshi:
Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis. - Péter Vrana:
Asymptotic continuity of additive entanglement measures. - Talgat Saparov, Anvar Kurmukov, Boris Shirokikh, Mikhail Belyaev:
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation. - Yulia Kempner, Vadim E. Levit:
Cospanning characterizations of antimatroids and convex geometries. - Tzanis Anevlavis, Zexiang Liu, Necmiye Ozay, Paulo Tabuada:
Controlled invariant sets: implicit closed-form representations and applications. - Liang Ding, Rui Tuo, Xiaowei Zhang:
High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids. - Isay Katsman, Aaron Lou, Derek Lim, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa:
Equivariant Manifold Flows. - Mohammad Rasouli, Michael I. Jordan:
Data Sharing Markets. - Dong-Young Lim, Ariel Neufeld, Sotirios Sabanis, Ying Zhang:
Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function. - Aidana Massalimova, Huseyin Atakan Varol:
Input Agnostic Deep Learning for Alzheimer's Disease Classification Using Multimodal MRI Images. - Catherine F. Higham, Adrian Bedford:
Quantum Deep Learning: Sampling Neural Nets with a Quantum Annealer. - Qinkai Chen:
Stock Movement Prediction with Financial News using Contextualized Embedding from BERT. - Marius Memmel, Camila González, Anirban Mukhopadhyay:
Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation. - Woo-Jeoung Nam, Seong-Whan Lee:
Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units. - Yichen Lu, Jane Fridlyand, Tiffany Tang, Ting Qi, Noah Simon, Ning Leng:
The Future will be Different than Today: Model Evaluation Considerations when Developing Translational Clinical Biomarker. - Xu Li, Xixin Wu, Hui Lu, Xunying Liu, Helen Meng:
Channel-wise Gated Res2Net: Towards Robust Detection of Synthetic Speech Attacks. - Marie-Charlotte Brandenburg, Christian Haase, Ngoc Mai Tran:
Competitive equilibrium always exists for combinatorial auctions with graphical pricing schemes. - Matej Uhrín, Gustav Sourek, Ondrej Hubácek, Filip Zelezný:
Optimal sports betting strategies in practice: an experimental review. - Jonathan Ganz, Tobias Kirsch, Lucas Hoffmann, Christof A. Bertram, Christoph Hoffmann, Andreas Maier, Katharina Breininger, Ingmar Blümcke, Samir Jabari, Marc Aubreville:
Automatic and explainable grading of meningiomas from histopathology images. - Navid Hashemi, Justin Ruths:
Generalized Outer Bounds on the Finite Geometric Sum of Ellipsoids. - Christoph Martin, Nahal Sharafi, Sarah Hallerberg:
Estimating covariant Lyapunov vectors from data. - Olav Geil:
From primary to dual affine variety codes over the Klein quartic. - Zenglin Shi, Pascal Mettes, Guoyan Zheng, Cees Snoek:
Frequency-Supervised MR-to-CT Image Synthesis. - Seung-gu Kang, Joseph A. Morrone, Jeffrey K. Weber, Wendy D. Cornell:
Analysis of training and seed bias in small molecules generated with a conditional graph-based variational autoencoder - Insights for practical AI-driven molecule generation. - Björn C. P. Sturmberg, Marnie E. Shaw, Chathurika P. Mediwaththe, H. Ransan-Cooper, Ben Weise, M. Thomas, Lachlan Blackhall:
A symbiotic relationship: the feasibility of community-scale energy storage deployed with local network tariffs. - Markus Pagitz:
Space-Time Finite Element for Sensor Fusion. - Verena Praher, Katharina Prinz, Arthur Flexer, Gerhard Widmer:
On the Veracity of Local, Model-agnostic Explanations in Audio Classification: Targeted Investigations with Adversarial Examples. - Li Chen, Wenjin Liu, Niranjan Balu, Mahmud Mossa-Basha, Thomas S. Hatsukami, Jenq-Neng Hwang, Chun Yuan:
Deep Open Snake Tracker for Vessel Tracing. - Longbing Cao:
AI in Finance: Challenges, Techniques and Opportunities. - Priyank Sonkiya, Vikas Bajpai, Anukriti Bansal:
Stock price prediction using BERT and GAN. - Linzhe Huang, Zhengwei Liu, Jinsong Wu:
Quantum smooth uncertainty principles for von Neumann bi-algebras. - Valerii Sopin:
Ergodic dynamical systems over the Cartesian power of the ring of p-adic integers. - Thomas Küstner, Jiazhen Pan, Haikun Qi, Gastão Cruz, Christopher Gilliam, Thierry Blu, Bin Yang, Sergios Gatidis, René M. Botnar, Claudia Prieto:
LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance Imaging. - Florian List, Nicholas L. Rodd, Geraint F. Lewis:
Dim but not entirely dark: Extracting the Galactic Center Excess' source-count distribution with neural nets. - Haoyuan Cai, Qi Ye, Dong-Ling Deng:
Sample Complexity of Learning Quantum Circuits. - Maria Han Veiga, Xi Meng, Oleg Y. Gnedin, Nickolay Y. Gnedin, Xun Huan:
Reconstruction of the Density Power Spectrum from Quasar Spectra using Machine Learning. - Sayantan Auddy, Ramit Dey, Min-Kai Lin, Cassandra Hall:
DPNNet-2.0 Part I: Finding hidden planets from simulated images of protoplanetary disk gaps. - Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber:
Reward-Weighted Regression Converges to a Global Optimum. - Bertram Düring, Christof Heuer:
Time-adaptive high-order compact finite difference schemes for option pricing in a family of stochastic volatility models. - Donya Khaledyan, AmirReza Tajally, Ali Sarkhosh, Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Abbas Khosravi, Saeid Nahavandi:
Confidence Aware Neural Networks for Skin Cancer Detection. - Daniel Mario de Lima, Catharine V. Graves, Marco A. Gutierrez, Bruno Brandoli, José Fernando Rodrigues Jr.:
Convolutional module for heart localization and segmentation in MRI. - João Dick, Brunno Abreu, Mateus Grellert, Sergio Bampi:
Quality and Complexity Assessment of Learning-Based Image Compression Solutions. - Wooseok Ha, Chandan Singh, François Lanusse, Eli Song, Song Dang, Kangmin He, Srigokul Upadhyayula, Bin Yu:
Adaptive wavelet distillation from neural networks through interpretations. - Abdul-Lateef Haji-Ali, Jonathan Spence, Aretha L. Teckentrup:
Adaptive Multilevel Monte Carlo for Probabilities. - J. Maurice Rojas, Yuyu Zhu:
Root Repulsion and Faster Solving for Very Sparse Polynomials Over p-adic Fields. - Rohith Aralikatti, Anton Ratnarajah, Zhenyu Tang, Dinesh Manocha:
Improving Reverberant Speech Separation with Multi-stage Training and Curriculum Learning. - Navid Mahmoudian Bidgoli, Roberto Gerson de Albuquerque Azevedo, Thomas Maugey, Aline Roumy, Pascal Frossard:
OSLO: On-the-Sphere Learning for Omnidirectional images and its application to 360-degree image compression. - William T. Stephenson, Zachary Frangella, Madeleine Udell, Tamara Broderick:
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression. - Alexander Zlokapa, Hartmut Neven, Seth Lloyd:
A quantum algorithm for training wide and deep classical neural networks. - Thomas Y. Hou, Zhenzhen Li, Ziyun Zhang:
Asymptotic Escape of Spurious Critical Points on the Low-rank Matrix Manifold. - Nikolaos Mourdoukoutas, Marco Federici, Georges Pantalos, Mark van der Wilk, Vincent Fortuin:
A Bayesian Approach to Invariant Deep Neural Networks. - Konstantinos G. Spiliotis, Giannis Kahramanoglou, Jens Starke, Nikolaos Smyrnis, Constantinos I. Siettos:
A biophysical network model reveals the link between deficient inhibitory cognitive control and major neurotransmitter and neural connectivity hypotheses in schizophrenia. - Hiroki Ito, MaungMaung AprilPyone, Hitoshi Kiya:
Protecting Semantic Segmentation Models by Using Block-wise Image Encryption with Secret Key from Unauthorized Access. - Dirk Ostwald, Franziska Usée:
An induction proof of the backpropagation algorithm in matrix notation. - Cheng-Hung Hu, Yu-Huai Peng, Junichi Yamagishi, Yu Tsao, Hsin-Min Wang:
SVSNet: An End-to-end Speaker Voice Similarity Assessment Model. - Mohammad Safiuddin, C. H. Likith Reddy, Ganesh Vasantada, CHJNS Harsha, Srinu Gangolu:
Establishing process-structure linkages using Generative Adversarial Networks. - Yoni Schirris, Efstratios Gavves, Iris Nederlof, Hugo Mark Horlings, Jonas Teuwen:
DeepSMILE: Self-supervised heterogeneity-aware multiple instance learning for DNA damage response defect classification directly from H&E whole-slide images. - Tero Harju:
Critical factorisation in square-free words. - Tianzi Wang, Yuya Fujita, Xuankai Chang, Shinji Watanabe:
Streaming End-to-End ASR based on Blockwise Non-Autoregressive Models. - Gerda Bortsova, Daniel Bos, Florian Dubost, Meike W. Vernooij, M. Kamran Ikram, Gijs van Tulder, Marleen de Bruijne:
Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT. - Stefano Boccelli, Thierry E. Magin, Aldo Frezzotti:
Numerical investigation of reversed gas feed configurations for Hall thrusters. - Robert Cardona, Eva Miranda, Daniel Peralta-Salas:
Looking at Euler flows through a contact mirror: Universality and undecidability. - Ekaterina Dudkina, Michelangelo Bin, Jane Breen, Emanuele Crisostomi, Pietro Ferraro, Steve Kirkland, Jakub Marecek, Roderick Murray-Smith, Thomas Parisini, Lewi Stone, Serife Yilmaz, Robert Shorten:
On node ranking in graphs. - Jian Cui, Yisi Liu, Zirui Lan, Olga Sourina, Wolfgang Müller-Wittig:
EEG-based Cross-Subject Driver Drowsiness Recognition with Interpretable CNN. - Rajdeep Kumar Nath, Himanshu Thapliyal:
Wearable Health Monitoring System for Older Adults in a Smart Home Environment. - Han Yu, Thomas Vaessen, Inez Myin-Germeys, Akane Sano:
Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild. - Daniel Shea, Stephen Casey:
An Information Theory Approach to Physical Domain Discovery. - Kaida Kaeval, Helmut Griesser, Klaus Grobe, Jörg-Peter Elbers, Marko Tikas, Gert Jervan:
Channel Performance Estimations with Extended Channel Probing. - Yazhou Xu:
Probability density evolution filter. - Gaëtan Frusque, Gabriel Michau, Olga Fink:
Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection. - Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Díaz, Karim Lekadir:
A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions. - Benjamin Billot, Douglas N. Greve, Oula Puonti, Axel Thielscher, Koen Van Leemput, Bruce Fischl, Adrian V. Dalca, Juan Eugenio Iglesias:
SynthSeg: Domain Randomisation for Segmentation of Brain MRI Scans of any Contrast and Resolution. - Joyson Sebastian, Pranav Dayal, Kee-Bong Song, Walid AliAhmad:
Explicit Calibration of mmWave Phased Arrays with Phase Dependent Errors. - Tong Zhang, Shuai Wang, Guoliang Li, Fan Liu, Guangxu Zhu, Rui Wang:
Accelerating Edge Intelligence via Integrated Sensing and Communication. - Tai-Danae Bradley:
Entropy as a Topological Operad Derivation. - Matteo Zancanaro, Markus Mrosek, Giovanni Stabile, Carsten Othmer, Gianluigi Rozza:
Hybrid neural network reduced order modelling for turbulent flows with geometric parameters. - Subrato Bharati, Prajoy Podder, M. Rubaiyat Hossain Mondal, V. B. Surya Prasath:
Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A Comprehensive Review. - Matthew Aldridge:
Pooled testing to isolate infected individuals. - Jia Yin, Yang-hao Chan, Felipe H. da Jornada, Diana Qiu, Chao Yang, Steven G. Louie:
Analyzing and predicting non-equilibrium many-body dynamics via dynamic mode decomposition. - Yves Smeers, Sebastián Martín, José A. Aguado:
Co-optimization of Energy and Reserve with Incentives to Wind Generation: Case Study. - Fei Jing, Chuang Liu, Yi-Cheng Zhang, Jian-Liang Wu, Zi-Ke Zhang:
Toward Structural Controllability and Predictability in Directed Networks. - Ashish Tiwari:
Linear Invariants for Linear Systems. - Arnab Auddy, Ming Yuan:
On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed Errors. - Sungmin Hong, Razvan V. Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland:
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images. - Killian Wood, Gianluca Bianchin, Emiliano Dall'Anese:
Online Projected Gradient Descent for Stochastic Optimization with Decision-Dependent Distributions. - Miroslaw Lawrynowicz, Jerzy Józefczyk:
Robust unrelated parallel machine scheduling problem with interval release dates. - Diego H. Useche, Andres Giraldo-Carvajal, Hernan M. Zuluaga-Bucheli, Jose A. Jaramillo-Villegas, Fabio A. González:
Quantum Measurement Classification with Qudits. - Farzam Ebrahimnejad, James R. Lee:
Non-existence of annular separators in geometric graphs. - Katiana Kontolati, Dimitrios Loukrezis, Ketson R. M. dos Santos, Dimitrios G. Giovanis, Michael D. Shields:
Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models. - Xinhao Mei, Xubo Liu, Qiushi Huang, Mark D. Plumbley, Wenwu Wang:
Audio Captioning Transformer. - Yao Zhang, Jiawei Yang, Jiang Tian, Zhongchao Shi, Cheng Zhong, Yang Zhang, Zhiqiang He:
Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation. - Akira Furui, Takuya Igaue, Toshio Tsuji:
EMG Pattern Recognition via Bayesian Inference with Scale Mixture-Based Stochastic Generative Models. - Viswanath P. Sudarshan, Uddeshya Upadhyay, Gary F. Egan, Zhaolin Chen, Suyash P. Awate:
Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data. - Kristóf Bérczi, Tamás Király, Yutaro Yamaguchi, Yu Yokoi:
Approximation by Lexicographically Maximal Solutions in Matching and Matroid Intersection Problems. - Bowen Hu, Baiying Lei, Yanyan Shen, Yong Liu, Shuqiang Wang:
A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction. - Guangyuan Li, Jun Lv, Xiangrong Tong, Chengyan Wang, Guang Yang:
High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network with Attention and Cyclic Loss. - Xubo Liu, Qiushi Huang, Xinhao Mei, Tom Ko, H. Lilian Tang, Mark D. Plumbley, Wenwu Wang:
CL4AC: A Contrastive Loss for Audio Captioning. - Xubo Liu, Turab Iqbal, Jinzheng Zhao, Qiushi Huang, Mark D. Plumbley, Wenwu Wang:
Conditional Sound Generation Using Neural Discrete Time-Frequency Representation Learning. - Elisenda Feliu, Máté L. Telek:
On generalizing Descartes' rule of signs to hypersurfaces. - Dominik Kloepfer, Angelica I. Avilés-Rivero, Daniel Heydecker:
Delving Into Deep Walkers: A Convergence Analysis of Random-Walk-Based Vertex Embeddings. - Kohei Nishi:
The impact of increasing COVID-19 cases/deaths on the number of uncivil tweets directed at governments. - Guy Revach, Nir Shlezinger, Xiaoyong Ni, Adrià López Escoriza, Ruud J. G. van Sloun, Yonina C. Eldar:
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics. - Théo Galy-Fajou, Manfred Opper:
Adaptive Inducing Points Selection For Gaussian Processes. - Guillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, Maria Gabrani:
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology. - Jayadev Acharya, Clément L. Canonne, Aditya Vikram Singh, Himanshu Tyagi:
Optimal Rates for Nonparametric Density Estimation under Communication Constraints. - Sébastien Lachapelle, Pau Rodríguez López, Rémi Le Priol, Alexandre Lacoste, Simon Lacoste-Julien:
Discovering Latent Causal Variables via Mechanism Sparsity: A New Principle for Nonlinear ICA. - M. A. Vasquez Beltran, Bayu Jayawardhana, Reynier Peletier:
Modeling and analysis of Duhem hysteresis operators with butterfly loops. - Mihály Kovács, Annika Lang, Andreas Petersson:
Hilbert-Schmidt regularity of symmetric integral operators on bounded domains with applications to SPDE approximations. - Shuyu Cheng, Guoqiang Wu, Jun Zhu:
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms. - Iosif Pinelis:
Modulus of continuity of the quantum f-entropy with respect to the trace distance. - Sebastian W. Ober, Laurence Aitchison:
A variational approximate posterior for the deep Wishart process. - Matteo Torcoli, Jouni Paulus, Thorsten Kastner, Christian Uhle:
Controlling the Remixing of Separated Dialogue with a Non-Intrusive Quality Estimate. - Vladimír Krajnák, Shibabrat Naik, Stephen Wiggins:
Predicting trajectory behaviour via machine-learned invariant manifolds. - Tim Hahn, Nils R. Winter, Jan Ernsting, Marius Gruber, Marco J. Mauritz, Lukas Fisch, Ramona Leenings, Kelvin Sarink, Julian Blanke, Vincent Holstein, Daniel Emden, Marie Beisemann, Nils Opel, Dominik Grotegerd, Susanne Meinert, Walter Heindel, Stephanie H. Witt, Marcella Rietschel, Markus M. Nöthen, Andreas J. Forstner, Tilo Kircher, Igor Nenadic, Andreas Jansen, Bertram Müller-Myhsok, Till F. M. Andlauer, Martin Walter, Martijn P. van den Heuvel, Hamidreza Jamalabadi, Udo Dannlowski, Jonathan Repple:
Genetic, Individual, and Familial Risk Correlates of Brain Network Controllability in Major Depressive Disorder. - Dennis Eschweiler, Malte Rethwisch, Mareike Jarchow, Simon Koppers, Johannes Stegmaier:
3D fluorescence microscopy data synthesis for segmentation and benchmarking. - Raja Selvarajan, Vivek Dixit, Xingshan Cui, Travis S. Humble, Sabre Kais:
Prime Factorization Using Quantum Variational Imaginary Time Evolution. - Nicolas Sonnerat, Pengming Wang, Ira Ktena, Sergey Bartunov, Vinod Nair:
Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs. - Guodong Zhang, Kyle Hsu, Jianing Li, Chelsea Finn, Roger B. Grosse:
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise. - Dennis Obster, Naoki Sasakura:
Counting tensor rank decompositions. - Antonio Blanca, Reza Gheissari:
Sampling from Potts on random graphs of unbounded degree via random-cluster dynamics. - Dan Wang, Zhi Chen, Ionut Florescu:
A Sparsity Algorithm with Applications to Corporate Credit Rating. - Arindam Sengupta, Siyang Cao:
mmPose-NLP: A Natural Language Processing Approach to Precise Skeletal Pose Estimation using mmWave Radars. - Abicumaran Uthamacumaran, Samir Elouatik, Mohamed Abdouh, Michael Berteau-Rainville, Zhu-Hua Gao, Goffredo Arena:
Machine Learning Characterization of Cancer Patients-Derived Extracellular Vesicles using Vibrational Spectroscopies. - Mihail N. Kolountzakis, Effie Papageorgiou:
How many Fourier coefficients are needed? - David Fernández-Duque, Yoàv Montacute:
Dynamic Cantor Derivative Logic. - Christina Doty, Shaun Gallagher, Wenqi Cui, Wenya Chen, Shweta Bhushan, Marjolein T. Oostrom, Sarah Akers, Steven R. Spurgeon:
Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy Data. - Thi Ngoc Tho Nguyen, Karn N. Watcharasupat, Zhen Jian Lee, Ngoc Khanh Nguyen, Douglas L. Jones, Woon-Seng Gan:
What Makes Sound Event Localization and Detection Difficult? Insights from Error Analysis. - Karn N. Watcharasupat, Thi Ngoc Tho Nguyen, Ngoc Khanh Nguyen, Zhen Jian Lee, Douglas L. Jones, Woon-Seng Gan:
Improving Polyphonic Sound Event Detection on Multichannel Recordings with the Sørensen-Dice Coefficient Loss and Transfer Learning. - Yufei Wang, Yiqing Shen, Meng Yuan, Jing Xu, Bin Yang, Chi Liu, Wenjia Cai, Weijing Cheng, Wei Wang:
A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image. - Tongseok Lim:
Hodge theoretic reward allocation for generalized cooperative games on graphs. - Christian Uhle, Matteo Torcoli, Jouni Paulus:
Controlling the Perceived Sound Quality for Dialogue Enhancement with Deep Learning. - Thorsten Herfet, Kelvin Chelli, Tobias Lange, Robin Kremer:
Fristograms: Revealing and Exploiting Light Field Internals. - Kyu-Beom Lee, Hyu-Soung Shin:
An overcome of far-distance limitation on tunnel CCTV-based accident detection in AI deep-learning frameworks. - Gautier Marti, Victor Goubet, Frank Nielsen:
cCorrGAN: Conditional Correlation GAN for Learning Empirical Conditional Distributions in the Elliptope. - Ilnar Salimzianov:
A baseline model for computationally inexpensive speech recognition for Kazakh using the Coqui STT framework. - Aaron Goldsmith:
An Elementary Proof of the 3 Dimensional Simplex Mean Width Conjecture. - Joanna Rownicka, Kilian Sprenkamp, Antonio Tripiana, Volodymyr Gromoglasov, Timo P. Kunz:
Digital Einstein Experience: Fast Text-to-Speech for Conversational AI. - Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury:
Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning. - Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong:
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity. - Alexander Greysukh:
CNN Classifier for Just-in-Time Woodpeckers Detection and Deterrent. - Duo Ma, Nana Hou, Van Tung Pham, Haihua Xu, Eng Siong Chng:
Multitask-Based Joint Learning Approach To Robust ASR For Radio Communication Speech. - Jacinto Ulloa, Jef Wambacq, Roberto Alessi, Esteban Samaniego, Geert Degrande, Stijn François:
A micromechanics-based variational phase-field model for fracture in geomaterials with brittle-tensile and compressive-ductile behavior. - Aleksandr Beznosikov, Gesualdo Scutari, Alexander Rogozin, Alexander V. Gasnikov:
Distributed Saddle-Point Problems Under Similarity. - Aleksei Kalinov, Somshubra Majumdar, Jagadeesh Balam, Boris Ginsburg:
CarneliNet: Neural Mixture Model for Automatic Speech Recognition. - Hamidreza Eivazi, Mojtaba Tahani, Philipp Schlatter, Ricardo Vinuesa:
Physics-informed neural networks for solving Reynolds-averaged Navier-Stokes equations. - Alexander Ponomarchuk, Ilya Burenko, Elian Malkin, Ivan Nazarov, Vladimir Kokh, Manvel Avetisian, Leonid Zhukov:
Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Cough. - Xiaofeng Liu, Fangxu Xing, Hanna K. Gaggin, Weichung Wang, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Segmentation of Cardiac Structures via Successive Subspace Learning with Saab Transform from Cine MRI. - Annie Collins, Rohan Alexander:
Reproducibility of COVID-19 pre-prints. - Emmanuel Jeandel:
Strong shift equivalence as a category notion. - Xin Chang, Wladyslaw Skarbek:
Multi-modal Residual Perceptron Network for Audio-Video Emotion Recognition. - Lorena Qendro, Alexander Campbell, Pietro Liò, Cecilia Mascolo:
High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm. - Emanuela Radici, Federico Stra:
Entropy solutions of non-local scalar conservation laws with congestion via deterministic particle method. - Frank Filbir, Kristof Schröder, Anna Veselovska:
Super-Resolution on the Two-Dimensional Unit Sphere. - Naixu Guo, Kosuke Mitarai, Keisuke Fujii:
Nonlinear transformation of complex amplitudes via quantum singular value transformation. - Juan Manuel Mayor Torres, Mirco Ravanelli, Sara E. Medina-DeVilliers, Matthew D. Lerner, Giuseppe Riccardi:
Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activity. - Peter A. Streufert:
Specifying a Game-Theoretic Extensive Form as an Abstract 5-ary Relation. - Alvaro Fernandez-Quilez, Trygve Eftestøl, Morten Goodwin, Svein Reidar Kjosavik, Ketil Oppedal:
Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI. - Xintao Wang, Liangbin Xie, Chao Dong, Ying Shan:
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data. - Fanwei Kong, Shawn C. Shadden:
Whole Heart Mesh Generation For Image-Based Computational Simulations By Learning Free-From Deformations. - Darius Petermann, Seungkwon Beack, Minje Kim:
HARP-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding. - Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han:
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. - Francesco Romor, Marco Tezzele, Gianluigi Rozza:
A local approach to parameter space reduction for regression and classification tasks. - Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt:
Structured second-order methods via natural gradient descent. - Arnav V. Malawade, Mohanad Odema, Sebastien Lajeunesse-DeGroot, Mohammad Abdullah Al Faruque:
SAGE: A Split-Architecture Methodology for Efficient End-to-End Autonomous Vehicle Control. - Vít Jelínek, Michal Opler, Jakub Pekárek:
Griddings of permutations and hardness of pattern matching. - Saba Moeinizade, Guiping Hu, Lizhi Wang:
A reinforcement learning approach to resource allocation in genomic selection. - Bas H. M. van der Velden, Hugo J. Kuijf, Kenneth G. A. Gilhuijs, Max A. Viergever:
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis. - Ulderico Fugacci, Michael Kerber, Alexander Rolle:
Compression for 2-Parameter Persistent Homology. - Xingmei Lou, Yu Hu, Xiaodong Li:
Linear Polytree Structural Equation Models: Structural Learning and Inverse Correlation Estimation. - Yu-Chia Chen, Marina Meila:
The decomposition of the higher-order homology embedding constructed from the k-Laplacian. - Youyi Huang, Lu Wei, Bjordis Collaku:
Kurtosis of von Neumann entanglement entropy. - Zihao Wang, Kun Li, Steve Q. Xia, Hongfu Liu:
Economic Recession Prediction Using Deep Neural Network. - Bhavya Goyal, Mohit Gupta:
Photon-Starved Scene Inference using Single Photon Cameras. - Yixiao Yang, Ran Tao, Kaixuan Wei, Ying Fu:
Dynamic Proximal Unrolling Network for Compressive Sensing Imaging. - Bowen Hu, Baiying Lei, Yong Liu, Min Gan, Bingchuan Wang, Shuqiang Wang:
3D Brain Reconstruction by Hierarchical Shape-Perception Network from a Single Incomplete Image. - Mohammad Nabi Omidvar, Danial Yazdani, Jürgen Branke, Xiaodong Li, Shengxiang Yang, Xin Yao:
Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark. - Kai Yao, Kaizhu Huang, Jie Sun, Curran Jude:
AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling Training. - Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Deep Learning Based Reconstruction of Total Solar Irradiance. - Brendan Keith, Ustim Khristenko, Barbara I. Wohlmuth:
Learning the structure of wind: A data-driven nonlocal turbulence model for the atmospheric boundary layer. - Oscar Castañeda, Seyed Hadi Mirfarshbafan, Shahaboddin Ghajari, Alyosha C. Molnar, Sven Jacobsson, Giuseppe Durisi, Christoph Studer:
Resolution-Adaptive All-Digital Spatial Equalization for mmWave Massive MU-MIMO. - Mingshang Hu, Lianzi Jiang, Gechun Liang:
A monotone scheme for nonlinear partial integro-differential equations with the convergence rate of α-stable limit theorem under sublinear expectation. - Oscar Castañeda, Zachariah Boynton, Seyed Hadi Mirfarshbafan, Shimin Huang, Jamie C. Ye, Alyosha C. Molnar, Christoph Studer:
A Resolution-Adaptive 8 mm2 9.98 Gb/s 39.7 pJ/b 32-Antenna All-Digital Spatial Equalizer for mmWave Massive MU-MIMO in 65nm CMOS. - Yu Jing, Yang Yang, Chonghang Wu, Wenbing Fu, Wei Hu, Xiaogang Li, Hua Xu:
RGB Image Classification with Quantum Convolutional Ansaetze. - Ahmed Al-Saffar, Lei Guo, Amin M. Abbosh:
Introducing: DeepHead, Wide-band Electromagnetic Imaging Paradigm. - Alban Farchi, Marc Bocquet, Patrick Laloyaux, Massimo Bonavita, Quentin Malartic:
A comparison of combined data assimilation and machine learning methods for offline and online model error correction. - Xin Yang Wu:
Cardiac CT segmentation based on distance regularized level set. - Hanz Martin Cheng, Jan H. M. ten Thije Boonkkamp, Jesper Janssen, Diana B. Mihailova, Jan van Dijk:
Combining the hybrid mimetic mixed method with the Scharfetter-Gummel scheme for magnetised transport in plasmas. - Gianluigi Pillonetto:
Estimation of sparse linear dynamic networks using the stable spline horseshoe prior. - Fabian Thaler, Stefan Faußer, Heiko Gewald:
Put your money where your mouth is: Using AI voice analysis to detect whether spoken arguments reflect the speaker's true convictions. - Zhenzi Weng, Zhijin Qin, Geoffrey Ye Li:
Semantic Communications for Speech Recognition. - Margaret Duff, Neill D. F. Campbell, Matthias J. Ehrhardt:
Regularising Inverse Problems with Generative Machine Learning Models. - Valentin Bouquet:
The complexity of the Bondage problem in planar graphs. - Quentin Malartic, Alban Farchi, Marc Bocquet:
State, global and local parameter estimation using local ensemble Kalman filters: applications to online machine learning of chaotic dynamics. - Upendra S. Kapshikar:
The Diagonal Distance of CWS Codes. - Chang-Shen Lee, Nicolò Michelusi, Gesualdo Scutari:
Finite-Bit Quantization For Distributed Algorithms With Linear Convergence. - Chris Harris, Richard Pymar, Colin Rowat:
Joint Shapley values: a measure of joint feature importance. - Jaydip Sen, Sidra Mehtab:
Optimum Risk Portfolio and Eigen Portfolio: A Comparative Analysis Using Selected Stocks from the Indian Stock Market. - Seonwoo Min, Byunghan Lee, Sungroh Yoon:
TargetNet: Functional microRNA Target Prediction with Deep Neural Networks. - Daewa Kim, Annalisa Quaini:
A 2D kinetic model for crowd dynamics with disease contagion. - Gecia Bravo Hermsdorff, Lee M. Gunderson, Pierre-André G. Maugis, Carey E. Priebe:
A principled (and practical) test for network comparison. - Junpei Komiyama, Edouard Fouché, Junya Honda:
Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits. - Can Chen:
Explicit Solutions and Stability Properties of Homogeneous Polynomial Dynamical Systems via Tensor Orthogonal Decomposition. - Miklós Csürös:
Gain-loss-duplication models on a phylogeny: exact algorithms for computing the likelihood and its gradient. - Feng Dai, Vladimir N. Temlyakov:
Universal sampling discretization. - Peter A. V. DiBerardino, Alexandre L. S. Filipowicz, James Danckert, Britt Anderson:
Plinko: A Theory-Free Behavioral Measure of Priors for Statistical Learning and Mental Model Updating. - Mohamed M. S. Nasser, Oona Rainio, Antti Rasila, Matti Vuorinen, Terry Wallace, Hang Yu, Xiaohui Zhang:
Circular arc polygons, numerical conformal mappings, and moduli of quadrilaterals. - Xuan Shi, Erica Cooper, Junichi Yamagishi:
Use of speaker recognition approaches for learning timbre representations of musical instrument sounds from raw waveforms. - Yangyang Xu, Yibo Xu, Yonggui Yan, Jie Chen:
Distributed stochastic inertial methods with delayed derivatives. - Hung Tran-The, Sunil Gupta, Thanh Nguyen-Tang, Santu Rana, Svetha Venkatesh:
Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support. - Hanqing Zhao, Marija Vucelja:
Nonreversible Markov chain Monte Carlo algorithm for efficient generation of Self-Avoiding Walks. - Xuetian Lai, Qiongyao Li, Ziyang Chen, Xiaopeng Shao, Jixiong Pu:
Reconstructing Images of Two Adjacent Objects through Scattering Medium Using Generative Adversarial Network. - Luca Martino, Fernando Llorente, Ernesto Curbelo, Javier López-Santiago, Joaquín Míguez:
Automatic tempered posterior distributions for Bayesian inversion problems. - Kaixuan Chen, Jin Lin, Yiwei Qiu, Feng Liu, Yonghua Song:
Wind Farm Layout Optimization with Cooperative Control Considerations. - Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan:
Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform. - Wenming Cao, Philip L. H. Yu, Gilbert C. S. Lui, Wan Hang Keith Chiu, Ho-Ming Cheng, Yanwen Fang, Man-Fung Yuen, Wai-Kay Seto:
Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation. - Rahul Singh, Yongxin Chen:
Inference of collective Gaussian hidden Markov models. - Marcus Schaefer:
RAC-drawability is ∃R-complete. - Ruibo Shang, Mikaela A. O'Brien, Geoffrey P. Luke:
Deep-learning-driven Reliable Single-pixel Imaging with Uncertainty Approximation. - Amit Verma, Mark W. Lewis, Gary A. Kochenberger:
Efficient QUBO transformation for Higher Degree Pseudo Boolean Functions. - Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, David A. Elizondo, Shengxiang Yang, Miguel A. Molina-Cabello:
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica. - Sumon Kumar Bose, Deepak Singla, Arindam Basu:
A 51.3 TOPS/W, 134.4 GOPS In-memory Binary Image Filtering in 65nm CMOS. - Chongcan Li, Yong Cong, Weihua Deng:
Identifying the fragment structure of the organic compounds by deeply learning the original NMR data. - Manuele Leonelli, Ramsiya Ramanathan, Rachel L. Wilkerson:
Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package. - Kutsev Bengisu Ozyoruk, Sermet Can, Guliz Irem Gokceler, Kayhan Basak, Derya Demir, Gurdeniz Serin, Uguray Payam Hacisalihoglu, Berkan Darbaz, Ming Y. Lu, Tiffany Y. Chen, Drew F. K. Williamson, Funda Yilmaz, Faisal Mahmood, Mehmet Turan:
Deep Learning-based Frozen Section to FFPE Translation. - Nikhil S. Mande, Ronald de Wolf:
Tight Bounds for the Randomized and Quantum Communication Complexities of Equality with Small Error. - David Luengo, Luca Martino, Mónica F. Bugallo, Victor Elvira, Simo Särkkä:
A Survey of Monte Carlo Methods for Parameter Estimation. - Amine Amor, Pietro Lio', Vikash Singh, Ramón Viñas Torné, Helena Andrés-Terré:
Graph Representation Learning on Tissue-Specific Multi-Omics. - Yen-Ju Lu, Yu Tsao, Shinji Watanabe:
A Study on Speech Enhancement Based on Diffusion Probabilistic Model. - Riqiang Gao, Yucheng Tang, Kaiwen Xu, Ho Hin Lee, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Thomas A. Lasko, Yuankai Huo, Bennett A. Landman:
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective. - Farzam Hejazi, Nazanin Rahnavard:
Phase Spectrometry For High Precision mm-Wave DoA Estimation In 5G Systems. - Xiangyu Zhang, Peter I. Frazier:
Restless Bandits with Many Arms: Beating the Central Limit Theorem. - Francisco Revson Fernandes Pereira, Stefano Mancini:
Stabilizer codes for Open Quantum Systems. - Ting-Kam Leonard Wong, Jun Zhang:
Tsallis and Rényi deformations linked via a new λ-duality. - Heran Yang, Jian Sun, Liwei Yang, Zongben Xu:
A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation. - Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan:
Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans. - Xinhui Chen, You Zhang, Ge Zhu, Zhiyao Duan:
UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021. - Moshe Babaioff, Ruty Mundel, Noam Nisan:
Beyond Pigouvian Taxes: A Worst Case Analysis. - Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici:
Towards Generative Video Compression. - Csaba Zainkó, László Tóth, Amin Honarmandi Shandiz, Gábor Gosztolya, Alexandra Markó, Géza Németh, Tamás Gábor Csapó:
Adaptation of Tacotron2-based Text-To-Speech for Articulatory-to-Acoustic Mapping using Ultrasound Tongue Imaging. - Aylin Tastan, Michael Muma, Abdelhak M. Zoubir:
Robust Regularized Locality Preserving Indexing for Fiedler Vector Estimation. - Dmitrii Zhemchuzhnikov, Ilia Igashov, Sergei Grudinin:
6DCNN with roto-translational convolution filters for volumetric data processing. - Coralia Cartis, Estelle M. Massart, Adilet Otemissov:
Global optimization using random embeddings. - Mirco Hünnefeld:
Combining Maximum-Likelihood with Deep Learning for Event Reconstruction in IceCube. - Chris Heunen, Robin Kaarsgaard:
Quantum Information Effects. - Prabhat Kumar Jha:
Cosine and Computation. - Akshansh Mishra, Devarrishi Dixit:
Brain Inspired Computing Approach for the Optimization of the Thin Film Thickness of Polystyrene on the Glass Substrates. - Pedram Maleki, Jingye Tan, Lu An, Massimigliano Di Luigi, Umberto Villa, Chi Zhou, Shenqiang Ren, Danial Faghihi:
A Predictive Multiphase Model of Silica Aerogels for Building Envelope Insulations. - Abhir Bhandary, G. Ananth Prabhu, Mustafa Basthikodi, Chaitra K. M:
Early Diagnosis of Lung Cancer Using Computer Aided Detection via Lung Segmentation Approach. - Olivier Peltre:
Belief Propagation as Diffusion. - Junkang Wei, Siyuan Chen, Licheng Zong, Xin Gao, Yu Li:
Protein-RNA interaction prediction with deep learning: Structure matters. - Hamideh Kerdegari, Phung Tran Huy Nhat, Angela McBride, Luigi Pisani, Reza Razavi, Louise Thwaites, Sophie Yacoub, Alberto Gómez:
B-line Detection in Lung Ultrasound Videos: Cartesian vs Polar Representation. - Feihu Huang, Heng Huang:
Enhanced Bilevel Optimization via Bregman Distance. - Vladislav Neskorniuk, Andrea Carnio, Vinod Bajaj, Domenico Marsella, Sergei K. Turitsyn, Jaroslaw E. Prilepsky, Vahid Aref:
End-to-End Deep Learning of Long-Haul Coherent Optical Fiber Communications via Regular Perturbation Model. - Sachin Gupta, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
MAG-Net: Mutli-task attention guided network for brain tumor segmentation and classification. - Sophia J. Wagner, Nadieh Khalili, Raghav Sharma, Melanie Boxberg, Carsten Marr, Walter de Back, Tingying Peng:
Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations. - Yuling Yan, Yuxin Chen, Jianqing Fan:
Inference for Heteroskedastic PCA with Missing Data. - Guillermo Oyarzun, Daniel Peyrolon, Carlos Álvarez, Xavier Martorell:
An FPGA cached sparse matrix vector product (SpMV) for unstructured computational fluid dynamics simulations. - Kenneth Atz, Francesca Grisoni, Gisbert Schneider:
Geometric Deep Learning on Molecular Representations. - Felix Kahlhoefer, Michael Korsmeier, Michael Krämer, Silvia Manconi, Kathrin Nippel:
Constraining dark matter annihilation with cosmic ray antiprotons using neural networks. - Barbara Re, Rémi Abgrall:
A pressure-based method for weakly compressible two-phase flows under a Baer-Nunziato type model with generic equations of state and pressure and velocity disequilibrium. - Bastien Talgorn, Stéphane Alarie, Michael Kokkolaras:
Parallel Surrogate-assisted Optimization Using Mesh Adaptive Direct Search. - Vishal Gupta, Michael Huang, Paat Rusmevichientong:
Debiasing In-Sample Policy Performance for Small-Data, Large-Scale Optimization. - Hasib Zunair, A. Ben Hamza:
Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation. - Michael Thoreau, Frazer Wilson:
SaRNet: A Dataset for Deep Learning Assisted Search and Rescue with Satellite Imagery. - Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia:
Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates. - Hidekazu Yoshioka, Motoh Tsujimura:
Hamilton-Jacobi-Bellman-Isaacs equation for rational inattention in the long-run management of river environments under uncertainty. - Caetano Mazzoni Ranieri, Jhielson M. Pimentel, Marcelo R. Romano, Leonardo Abdala Elias, Roseli A. F. Romero, Michael A. Lones, Mariana F. P. Araújo, Patrícia A. Vargas, Renan Cipriano Moioli:
A Data-Driven Biophysical Computational Model of Parkinson's Disease based on Marmoset Monkeys. - Americo Cunha Jr., Rubens Sampaio:
Effect of an attached end mass in the dynamics of uncertainty nonlinear continuous random system. - Siyuan Zhang, Xiaofei Li:
Microphone Array Generalization for Multichannel Narrowband Deep Speech Enhancement. - Jiguang He, Henk Wymeersch, Marco Di Renzo, Markku J. Juntti:
Learning to Estimate RIS-Aided mmWave Channels. - Christoph Widder, Tanja Schilling:
Generating functions for message-passing on weighted networks: directed bond percolation and SIR epidemics. - Amir Panahi, Alireza Hassanzadeh, Ali Moulavi, Ata Golparvar:
An Optimal Piezoelectric Beam for Acoustic Energy Harvesting. - Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King:
A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR. - Kai Bergermann, Martin Stoll:
Orientations and matrix function-based centralities in multiplex network analysis of urban public transport. - Eric A. Moreno, Jean-Roch Vlimant, Maria Spiropulu, Bartlomiej Borzyszkowski, Maurizio Pierini:
Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders. - Hemlata Tak, Jee-weon Jung, Jose Patino, Madhu R. Kamble, Massimiliano Todisco, Nicholas W. D. Evans:
End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection. - Dominic Richards, Ilja Kuzborskij:
Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel. - Yinsong Xu, Zhen Yuan:
Quantum Meet-in-the-Middle Attack on 7-round Feistel Construction. - Noga Alon:
Partitioning all k-subsets into r-wise intersecting families. - Vittorio Degli-Esposti, Enrico Maria Vitucci, Marco Di Renzo, Sergei A. Tretyakov:
Reradiation and Scattering from a Reconfigurable Intelligent Surface: A General Macroscopic Model. - Hui Che, Sumana Ramanathan, David J. Foran, John L. Nosher, Vishal M. Patel, Ilker Hacihaliloglu:
Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease. - Drona Khurana, Srinivasan Ravichandran, Sparsh Jain, Narayanan Unny Edakunni:
Statistical Guarantees for Fairness Aware Plug-In Algorithms. - Michael E. Kepler, Alec Koppel, Amrit Singh Bedi, Daniel J. Stilwell:
Wasserstein-Splitting Gaussian Process Regression for Heterogeneous Online Bayesian Inference. - Fuad Noman, Chee-Ming Ting, Hakmook Kang, Raphael C.-W. Phan, Brian D. Boyd, Warren D. Taylor, Hernando C. Ombao:
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification. - Quan Duong, Tan Tran, Duc-Thinh Pham, An Mai:
A Simplified Framework for Air Route Clustering Based on ADS-B Data. - Shanmukh Alle, U. Deva Priyakumar:
Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait. - Banafshe Felfeliyan, Abhilash Rakkunedeth Hareendranathan, Gregor Kuntze, Jacob L. Jaremko, Janet Lenore Ronsky:
Improved-Mask R-CNN: Towards an Accurate Generic MSK MRI instance segmentation platform (Data from the Osteoarthritis Initiative). - Edvin Wedin:
A rigorous formulation of and partial results on Lorenz's "consensus strikes back" phenomenon for the Hegselmann-Krause model. - In Ho Cho:
Initial Foundation for Predicting Individual Earthquake's Location and Magnitude by Using Glass-Box Physics Rule Learner. - Yifeng Zhao, Pei Zhang, Sergio Andres Galindo-Torres, Stan Z. Li:
A Data-driven feature selection and machine-learning model benchmark for the prediction of longitudinal dispersion coefficient. - Evgeniy O. Kiktenko, A. S. Zelenetsky, Aleksey K. Fedorov:
Practical quantum multiparty signatures using quantum key distribution networks. - Brandon Severin, Dominic T. Lennon, Leon C. Camenzind, Florian Vigneau, Federico Fedele, D. Jirovec, A. Ballabio, D. Chrastina, G. Isella, M. de Kruijf, Miguel J. Carballido, Simon Svab, Andreas V. Kuhlmann, F. R. Braakman, Simon Geyer, F. N. M. Froning, H. Moon, Michael A. Osborne, Dino Sejdinovic, G. Katsaros, Dominik M. Zumbühl, G. Andrew D. Briggs, Natalia Ares:
Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning. - Brennan Nichyporuk, Justin Szeto, Douglas L. Arnold, Tal Arbel:
Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting. - Richard J. Chen, Ming Y. Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood:
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks. - Sheng Liu, Zhixing Luo:
Multiperiod Dispatching and Routing for On-Time Delivery in a Dynamic and Stochastic Environment. - Mohammadmehdi Ataei, Erfan Pirmorad, Franco Costa, Sejin Han, Chul B. Park, Markus Bussmann:
A Deep Learning Algorithm for Piecewise Linear Interface Construction (PLIC). - Ben M. Hambly, Renyuan Xu, Huining Yang:
Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games. - Ruihan Yang, Yibo Yang, Joseph Marino, Stephan Mandt:
Insights from Generative Modeling for Neural Video Compression. - Liwei Wang, Jagannadh Boddapati, Ke Liu, Ping Zhu, Chiara Daraio, Wei Chen:
Mechanical Cloak via Data-Driven Aperiodic Metamaterial Design. - A. K. M. Amanat Ullah, Fahim Imtiaz, Miftah Uddin Md Ihsan, Md. Golam Rabiul Alam, Mahbub Majumdar:
Combining Machine Learning Classifiers for Stock Trading with Effective Feature Extraction. - Anusua Trivedi, Jocelyn Desbiens, Ron Gross, Sunil Gupta, Rahul Dodhia, Juan Lavista Ferres:
Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases. - Marcin Waniek, Petter Holme, Talal Rahwan:
Hiding in Temporal Networks. - Fan Zhang, Bo Pan, Pengfei Shao, Peng Liu, Shuwei Shen, Peng Yao, Ronald X. Xu:
An explainable two-dimensional single model deep learning approach for Alzheimer's disease diagnosis and brain atrophy localization. - Shima Sadat Mousavi, Somayeh Bahrami, Anastasios Kouvelas:
Synthesis of Output-Feedback Controllers for Mixed Traffic Systems in Presence of Disturbances and Uncertainties. - Uddipan Mukherjee, Sidharth Pancholi:
A Visual Domain Transfer Learning Approach for Heartbeat Sound Classification. - Gyeong-Tae Lee, Hyeonuk Nam, Seong-Hu Kim, Sang-Min Choi, Youngkey Kim, Yong-Hwa Park:
Deep learning based cough detection camera using enhanced features. - Alexandre Nicolas, Fadratul Hafinaz:
Social groups in pedestrian crowds: Review of their influence on the dynamics and their modelling. - Vicente Martín, Juan Pedro Brito, Carmen Escribano, Marco Menchetti, Catherine White, Andrew Lord, Felix Wissel, Matthias Gunkel, Paulette Gavignet, Naveena Genay, Olivier Le Moult, Carlos Abellán, Antonio Manzalini, Antonio Pastor Perales, Víctor López, Diego R. López:
Quantum Technologies in the Telecommunications Industry. - Adam Wieckowski, Christian Lehmann, Benjamin Bross, Detlev Marpe, Thibaud Biatek, Mickaël Raulet, Jean Le Feuvre:
A Complete End-To-End Open Source Toolchain for the Versatile Video Coding (VVC) Standard. - Yoonsuck Choe:
Meaning Versus Information, Prediction Versus Memory, and Question Versus Answer. - Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Susan P. Fisher-Hoch, Joseph B. McCormic:
Nonlinear State Space Modeling and Control of the Impact of Patients' Modifiable Lifestyle Behaviors on the Emergence of Multiple Chronic Conditions. - Germán Mora-Martín, Alex Turpin, Alice Ruget, Abderrahim Halimi, Robert K. Henderson, Jonathan Leach, István Gyöngy:
High-speed object detection with a single-photon time-of-flight image sensor. - Thangjam Clarinda Devi, Kabita Thaoroijam:
Vowel-based Meeteilon dialect identification using a Random Forest classifier. - Jakob Zech, Youssef M. Marzouk:
Sparse approximation of triangular transports. Part II: the infinite dimensional case. - Kiheiji Nishida, Kanta Naito:
Kernel Density Estimation by Stagewise Algorithm with a Simple Dictionary. - Shuang Ge, Qiongyu Ye, Wenquan Xie, Desheng Sun, Huabin Zhang, Xiaobo Zhou, Kehong Yuan:
AI assisted method for efficiently generating breast ultrasound screening reports. - Sandip Das, Soham Das, Swathy Prabhu, Sagnik Sen:
On fractional version of oriented coloring. - Avik Sarkar, Dean Lee:
Self-learning Emulators and Eigenvector Continuation. - Nicolas Valenchon, Yann Bouteiller, Hugo R. Jourde, Emily B. J. Coffey, Giovanni Beltrame:
The Portiloop: a deep learning-based open science tool for closed-loop brain stimulation. - Vikesh Siddhu, Avhishek Chatterjee, Krishna P. Jagannathan, Prabha Mandayam, Sridhar R. Tayur:
Queue-Channel Capacities with Generalized Amplitude Damping. - Muhammad R. Hasyim, Clay H. Batton, Kranthi K. Mandadapu:
Supervised Learning and the Finite-Temperature String Method for Computing Committor Functions and Reaction Rates. - Samuel Kessler, Bethan Thomas, Salah Karout:
Continual-wav2vec2: an Application of Continual Learning for Self-Supervised Automatic Speech Recognition. - Mario Germán Sandoval, Americo Cunha Jr., Rubens Sampaio:
Identification of parameters in the torsional dynamics of a drilling process through Bayesian statistics. - Fábio M. F. Lobato, Carlos D. N. Damasceno, Péricles L. Machado, Nandamudi L. Vijaykumar, André R. dos Santos, Sylvain H. Darnet, André N. A. Gonçalves, Dayse O. de Alencar, Ádamo L. de Santana:
Abordagem probabilística para análise de confiabilidade de dados gerados em sequenciamentos multiplex na plataforma ABI SOLiD. - Madeleine K. Wyburd, Nicola K. Dinsdale, Ana I. L. Namburete, Mark Jenkinson:
TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations. - Christopher A. Pattison, Michael E. Beverland, Marcus P. da Silva, Nicolas Delfosse:
Improved quantum error correction using soft information. - Bruno M. Rocha, Diogo Pessoa, Grigorios-Aris Cheimariotis, Evangelos Kaimakamis, Serafeim-Chrysovalantis Kotoulas, Myrto Tzimou, Nicos Maglaveras, Alda Marques, Paulo de Carvalho, Rui Pedro Paiva:
Detection of squawks in respiratory sounds of mechanically ventilated COVID-19 patients. - Piper Wolters, Chris Daw, Brian Hutchinson, Lauren Phillips:
Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with Perceivers. - Haici Yang, Shivani Firodiya, Nicholas J. Bryan, Minje Kim:
Neural Remixer: Learning to Remix Music with Interactive Control. - Gautam Goel, Babak Hassibi:
Competitive Control. - Martin Nöllenburg, Sergey Pupyrev:
On Families of Planar DAGs with Constant Stack Number. - Mehdi Afshari, Hamid R. Tizhoosh:
A Similarity Measure of Histopathology Images by Deep Embeddings. - Mingtao Xia, Lucas Böttcher, Tom Chou:
Controlling epidemics through optimal allocation of test kits and vaccine doses across networks. - Zhengwu Zhang, Bayan Saparbayeva:
Amplitude Mean of Functional Data on $\mathbb{S}^2$. - Yubin Lu, Romit Maulik, Ting Gao, Felix Dietrich, Ioannis G. Kevrekidis, Jinqiao Duan:
Learning the temporal evolution of multivariate densities via normalizing flows. - Shengxiang Deng, Ismail Ben Ayed, Hongpeng Sun:
A Preconditioned Alternating Minimization Framework for Nonconvex and Half Quadratic Optimization. - Eunsun Kim, Ian P. Roberts, Peter Anthony Iannucci, Jeffrey G. Andrews:
Downlink Analysis of LEO Multi-Beam Satellite Communication in Shadowed Rician Channels. - Ching-Kai Lin, Shao-Hua Wu, Jerry Chang, Yun-Chien Cheng:
The interpretation of endobronchial ultrasound image using 3D convolutional neural network for differentiating malignant and benign mediastinal lesions. - A. Buchaev, Arkadiy Skopenkov:
Simple proofs of estimations of Ramsey numbers and of discrepancy. - Frieda van den Noort, Beril Sirmaçek, Cornelis H. Slump:
Recurrent U-net for automatic pelvic floor muscle segmentation on 3D ultrasound. - Linlong Wu, Kumar Vijay Mishra, M. R. Bhavani Shankar, Björn E. Ottersten:
Heterogeneously-Distributed Joint Radar Communications: Bayesian Resource Allocation. - Aurèle Goetz, Ali Riza Durmaz, Martin Müller, Akhil Thomas, Dominik Britz, Pierre Kerfriden, Chris Eberl:
Addressing materials' microstructure diversity using transfer learning. - Xiang Li, Mauro Mobilia, Alastair M. Rucklidge, R. K. P. Zia:
Effects of homophily and heterophily on preferred-degree networks: mean-field analysis and overwhelming transition. - Matthieu Rosenfeld:
Ann wins the nonrepetitive game over four letters and the erase-repetition game over six letters. - Francesco Dagnino, Giuseppe Rosolini:
Doctrines, modalities and comonads. - (Withdrawn) Temporal-Relational Hypergraph Tri-Attention Networks for Stock Trend Prediction.
- Ali Kashefi, Tapan Mukerji:
Point-Cloud Deep Learning of Porous Media for Permeability Prediction. - Vinicius Gonçalves Lopes, João Victor L. L. Peterson, Americo Cunha Jr.:
The nonlinear dynamics of a bistable energy harvesting system with colored noise disturbances. - Thomas Fernique:
Density of Binary Disc Packings: Lower and Upper Bounds. - Mobolaji Williams:
Large N limit of the knapsack problem. - Panchamy Krishnakumari, Oded Cats, Hans van Lint:
Day-to-day and seasonal regularity of network passenger delay for metro networks. - Marc Jayson Baucas, Petros Spachos, Stefano Gregori:
Internet-of-Things Devices and Assistive Technologies for Healthcare: Applications, Challenges, and Opportunities. - Lev Yu. Barash, Stefan Güttel, Itay Hen:
Calculating elements of matrix functions using divided differences. - Yunpeng Li:
Modifications of FastICA in Convolutive Blind Source Separation. - Chandradeep Singh, Kamal Singh, K. H. Liu:
Fast Beam Training for RIS-Assisted Uplink Communication. - Aniruddha Rajendra Rao, Matthew Reimherr:
Modern Non-Linear Function-on-Function Regression. - Yoshiharu Kohayakawa, Flávio Keidi Miyazawa, Yoshiko Wakabayashi:
A tight lower bound for the online bounded space hypercube bin packing problem. - Nicolas Basty, Marjola Thanaj, Madeleine Cule, Elena P. Sorokin, Yi Liu, Jimmy D. Bell, E. Louise Thomas, Brandon J. Whitcher:
Swap-Free Fat-Water Separation in Dixon MRI using Conditional Generative Adversarial Networks. - William B. Kinnersley, Nikolas Townsend:
Catching a fast robber on a grid. - Lingjiao Chen, Tracy Cai, Matei Zaharia, James Zou:
Did the Model Change? Efficiently Assessing Machine Learning API Shifts. - Farbod Hassani, Pan Shi, Julian Adamek, Martin Kunz, Peter Wittwer:
A new non-linear instability for scalar fields. - Amanda Ferrari Iaquinta, Ana Carolina de Sousa Silva, Aldrumont Ferraz Júnior, Jessica Monique de Toledo, Gustavo Voltani von Atzingen:
EEG multipurpose eye blink detector using convolutional neural network. - Lars Kotthoff, Sourin Dey, Vivek Jain, Alexander Tyrrell, Hud Wahab, Patrick Johnson:
Modeling and Optimizing Laser-Induced Graphene. - Owen Convery, Lewis Smith, Yarin Gal, Adi Hanuka:
Quantifying Uncertainty for Machine Learning Based Diagnostic. - Michael G. Taylor, Aditya Nandy, Connie C. Lu, Heather J. Kulik:
Deciphering Cryptic Behavior in Bimetallic Transition Metal Complexes with Machine Learning. - Abubakr Shafique, Morteza Babaie, Mahjabin Sajadi, Adrian Batten, Soma Skdar, Hamid R. Tizhoosh:
Automatic Multi-Stain Registration of Whole Slide Images in Histopathology. - Tingran Wang, Sam Buchanan, Dar Gilboa, John Wright:
Deep Networks Provably Classify Data on Curves. - Akash Gupta, Abhishek Aich, Kevin Rodriguez, G. Venugopala Reddy, Amit K. Roy-Chowdhury:
Deep Quantized Representation for Enhanced Reconstruction. - Eric Slyman, Chris Daw, Morgan Skrabut, Ana Usenko, Brian Hutchinson:
Fine-Grained Classroom Activity Detection from Audio with Neural Networks. - Navid Rezazadeh, Solmaz S. Kia:
Distributed Strategy Selection: A Submodular Set Function Maximization Approach. - Yue Chen, Wei Wei, Tongxin Li, Yunhe Hou, Feng Liu, João P. S. Catalão:
Optimal Bidding of Energy Storage: A Surrogate Method with Combined Spatial-Temporal Entropy. - Liao Zhu:
The Adaptive Multi-Factor Model and the Financial Market. - Muhammadjon Musaev, Saida Mussakhojayeva, Ilyos Khujayorov, Yerbolat Khassanov, Mannon Ochilov, Huseyin Atakan Varol:
USC: An Open-Source Uzbek Speech Corpus and Initial Speech Recognition Experiments. - Paul C. Kainen:
Lunaport: Math, Mechanics & Transport. - Marina Meila, Hanyu Zhang:
Distribution free optimality intervals for clustering. - Fernando J. Galetto, Guang Deng:
Single image deep defocus estimation and its applications. - Thilo von Neumann, Christoph Böddeker, Keisuke Kinoshita, Marc Delcroix, Reinhold Haeb-Umbach:
Speeding Up Permutation Invariant Training for Source Separation. - Thilo von Neumann, Keisuke Kinoshita, Christoph Böddeker, Marc Delcroix, Reinhold Haeb-Umbach:
Graph-PIT: Generalized permutation invariant training for continuous separation of arbitrary numbers of speakers. - Rui Li, Qi Zhang, Tianguang Chu:
Quotients of probabilistic Boolean networks. - Ricardo J. Araújo, Jaime S. Cardoso, Hélder P. Oliveira:
Topological Similarity Index and Loss Function for Blood Vessel Segmentation. - Alain Durmus, Aurélien Enfroy, Éric Moulines, Gabriel Stoltz:
Uniform minorization condition and convergence bounds for discretizations of kinetic Langevin dynamics. - Roberto Antonietti, Paolo Falbo, Fulvio Fontini, Rosanna Grassi, Giorgio Rizzini:
International Trade Network: Country centrality and COVID-19 pandemic. - Matt Wilson, Giulio Chiribella:
Causality in higher order process theories. 265-300 - Luis M. Antunes, Ricardo Grau-Crespo, Keith T. Butler:
Distributed Representations of Atoms and Materials for Machine Learning. - Shubham Ekapure, Nuruddin Jiruwala, Sohan Patnaik, Indranil SenGupta:
A data-science-driven short-term analysis of Amazon, Apple, Google, and Microsoft stocks. - Peter Regner, Katharina Gruber, Sebastian Wehrle, Johannes Schmidt:
System efficiency of US wind power generation is declining. - Ronald R. Coifman, Nicholas F. Marshall, Stefan Steinerberger:
A common variable minimax theorem for graphs. - Debottam Dutta, Purvi Agrawal, Sriram Ganapathy:
A Multi-Head Relevance Weighting Framework For Learning Raw Waveform Audio Representations. - Sébastien Herbreteau, Charles Kervrann:
DCT2net: an interpretable shallow CNN for image denoising. - Ralf Borndörfer, Katrin Casel, Davis Issac, Aikaterini Niklanovits, Stephan Schwartz, Ziena Zeif:
Connected $k$-partition of $k$-connected graphs and $c$-claw-free graphs. - Letong Hong, Shengtong Zhang:
No extremal square-free words over large alphabets. - (Withdrawn) A quantum complexity approach to the Kirchberg Embedding Problem.
- Sukjin Han, Eric H. Schulman, Kristen Grauman, Santhosh Ramakrishnan:
Shapes as Product Differentiation: Neural Network Embedding in the Analysis of Markets for Fonts. - Steven Duplij, Raimund Vogl:
Polyadic braid operators and higher braiding gates. - Elijah Pelofske, John K. Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz:
Sampling on NISQ Devices: "Who's the Fairest One of All?". - Elijah Pelofske, Georg Hahn, Daniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov:
Quantum Annealing Algorithms for Boolean Tensor Networks. - Clément Roussel, Simona Cocco, Rémi Monasson:
Barriers and Dynamical Paths in Alternating Gibbs Sampling of Restricted Boltzmann Machines. - Rui Wang, Carlos Hernani-Morales, José D. Martín-Guerrero, Enrique Solano, Francisco Albarrán-Arriagada:
Quantum Pattern Recognition in Photonic Circuits. - El Mehdi Achour, François Malgouyres, Sébastien Gerchinovitz:
The loss landscape of deep linear neural networks: a second-order analysis. - Paul Jungeblut, Laura Merker, Torsten Ueckerdt:
A Sublinear Bound on the Page Number of Upward Planar Graphs. - Abhilash Mathews, Noah Mandell, Manaure Francisquez, Jerry Hughes, Ammar Hakim:
Turbulent field fluctuations in gyrokinetic and fluid plasmas. - Andrew W. Rosemberg, Alexandre Street, Joaquim Dias Garcia, Davi Michel Valladão, Thuener Silva, Oscar Dowson:
Assessing the Cost of Network Simplifications in Long-Term Hydrothermal Dispatch Planning Models.
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