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ORCIDCoRR, January 2021
- Sayantan Choudhury
, Sachin Panneer Selvam, K. Shirish:
Circuit Complexity From Supersymmetric Quantum Field Theory With Morse Function. - Ying Zhao Lian, Colin N. Jones:
Nonlinear Data-Enabled Prediction and Control. - Djallel Bouneffouf:
Etat de l'art sur l'application des bandits multi-bras. - Alberto Racca, Luca Magri:
Automatic-differentiated Physics-Informed Echo State Network (API-ESN). - Edward Hermann Haeusler:
Yet another argument in favour of NP=CoNP. - Maryam Akbari-Moghaddam, Douglas G. Down:
A near-optimal policy for single-server scheduling with estimated job sizes. - Munachiso Nwadike, Takumi Miyawaki, Esha Sarkar, Michail Maniatakos, Farah Shamout:
Explainability Matters: Backdoor Attacks on Medical Imaging. - Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams:
Unnatural Language Inference. - Nikolaos Kekatos:
Encoding sinusoidal functions in hybrid automata formalism. - Simina Brânzei, Yuval Peres:
Consensus with Bounded Space and Minimal Communication. - Leo Gao, Stella Biderman, Sid Black, Laurence Golding, Travis Hoppe, Charles Foster, Jason Phang, Horace He, Anish Thite, Noa Nabeshima, Shawn Presser, Connor Leahy:
The Pile: An 800GB Dataset of Diverse Text for Language Modeling. - Maciej Skorski:
Random Embeddings with Optimal Accuracy. - Kailong Liu, Xiaosong Hu, Zhongbao Wei, Yi Li, Yan Jiang:
Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries. - Yuta Nakamura, Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Osamu Abe, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki:
KART: Privacy Leakage Framework of Language Models Pre-trained with Clinical Records. - Arash Saeidi Rashk Olia, Dunja Peric:
Effects of Axial Load on the Location of a Combined Null Point in Energy Piles. - Philippe Casgrain, Anastasis Kratsios:
Optimizing Optimizers: Regret-optimal gradient descent algorithms. - Paavo Nevalainen, Parisa Movahedi, Jorge Peña Queralta, Tomi Westerlund, Jukka Heikkonen:
Long-Term Autonomy in Forest Environment using Self-Corrective SLAM. - Arash Saeidi Rashk Olia, Dunja Peric:
Effects of End Restraints on Thermo-Mechanical Response of Energy Piles. - Qianqian Tong, Guannan Liang, Tan Zhu, Jinbo Bi:
Federated Nonconvex Sparse Learning. - Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim:
Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding. - Abhijit Das, John Jose, Prabhat Mishra:
Data Criticality in Multi-Threaded Applications: An Insight for Many-Core Systems. - Rajaswa Patil, Yaman Kumar Singla, Rajiv Ratn Shah, Mika Hama, Roger Zimmermann:
Towards Modelling Coherence in Spoken Discourse. - Mark Law:
Conflict-driven Inductive Logic Programming. - Thomas E. Valles, Hannah Shoenhard, Joseph Zinski, Sarah Trick, Mason A. Porter, Michael R. Lindstrom:
Networks of Necessity: Simulating Strategies for COVID-19 Mitigation among Disabled People and Their Caregivers. - Simina Brânzei, Jiawei Li:
The Query Complexity of Local Search and Brouwer in Rounds. - Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Kai Sun, Lu Huang, Junmin Liu, Chunxia Zhang:
FGF-GAN: A Lightweight Generative Adversarial Network for Pansharpening via Fast Guided Filter. - Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu:
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. - Zhikai Yao, Jennie Si, Ruofan Wu, Jianyong Yao:
Toward Reliable Designs of Data-Driven Reinforcement Learning Tracking Control for Euler-Lagrange Systems. - Tomaso A. Poggio, Qianli Liao:
Explicit regularization and implicit bias in deep network classifiers trained with the square loss. - Zhifeng Yu, Nanchun Shi:
A Multi-modal Deep Learning Model for Video Thumbnail Selection. - Anjalie Field, Chan Young Park, Yulia Tsvetkov:
Controlled Analyses of Social Biases in Wikipedia Bios. - Murat Kuscu, Özgür B. Akan:
Detection in Molecular Communications with Ligand Receptors under Molecular Interference. - Shiv Shankar, Don Towsley:
Bosonic Random Walk Networks for Graph Learning. - Denis Kolegov, Yulia Khalniyazova, Denis Varlakov:
Towards Threshold Key Exchange Protocols. - Emanuele Guidotti:
calculus: High Dimensional Numerical and Symbolic Calculus in R. - Américo Rio, Fernando Brito e Abreu:
PHP code smells in web apps: survival and anomalies. - Christian Nwachioma, Jose Humberto Pérez-Cruz:
Analysis of a new chaotic system, electronic realization and use in navigation of differential drive mobile robot. - Marzieh Ershad, Robert Rege, Ann Majewicz Fey:
Adaptive Surgical Robotic Training Using Real-Time Stylistic Behavior Feedback Through Haptic Cues. - Yuan Liang, Liang Qiu, Tiancheng Lu, Zhujun Fang, Dezhan Tu, Jiawei Yang, Tiandong Zhao, Yiting Shao, Kun Wang, Xiang 'Anthony' Chen, Lei He:
OralViewer: 3D Demonstration of Dental Surgeries for Patient Education with Oral Cavity Reconstruction from a 2D Panoramic X-ray. - Leonid A. Levin:
The Dual Matrix Algorithm for Linear Programming. - Nikolaos Kekatos:
Verifying a Cruise Control System using Simulink and SpaceEx. - Asmaa Alrushoud, Catie McEntee, Ning Lu:
A Zonal Volt/VAR Control Mechanism for High PV Penetration Distribution Systems. - Ali H. Abdollahi Bafghi, Mahtab Mirmohseni, Mohammad Reza Aref:
Achievable Rates for Binary Two-hop Channel with Energy Harvesting Relay With Finite Battery. - Eric Jiang, Meng-Hsi Chen, Ben Liang, Min Dong:
Task Offloading and Resource Allocation with Multiple CAPs and Selfish Users. - Donald J. Hammerstrom, Yashodhan P. Agalgaonkar, Stephen T. Elbert:
Energy Performance Analysis of Distributed Renewables: Pacific Northwest Smart Grid Demonstration. - Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov, Gargi Ghosh:
Multi-task Retrieval for Knowledge-Intensive Tasks. - Karen Hambardzumyan, Hrant Khachatrian, Jonathan May:
WARP: Word-level Adversarial ReProgramming. - Xiulong Yang, Hui Ye, Yang Ye, Xiang Li, Shihao Ji:
Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More. - Wasi Uddin Ahmad, Jianfeng Chi, Tu Le, Thomas Norton, Yuan Tian, Kai-Wei Chang:
Intent Classification and Slot Filling for Privacy Policies. - Xiao Guo, I-Hung Hsu, Wael AbdAlmageed, Premkumar Natarajan, Nanyun Peng:
MrGCN: Mirror Graph Convolution Network for Relation Extraction with Long-Term Dependencies. - Terence Wong, Markus Wagner, Christoph Treude:
Self-Adaptive Systems: A Systematic Literature Review Across Categories and Domains. - Jiaman Wu, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Sensei: Self-Supervised Sensor Name Segmentation. - Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. - Amin Nikanjam, Mohammad Mehdi Morovati, Foutse Khomh, Houssem Ben Braiek:
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach. - Yan Wang:
Sub-Gaussian Error Bounds for Hypothesis Testing. - Leibo Liu, Óscar Pérez Concha, Anthony N. Nguyen, Vicki Bennett, Louisa Jorm:
De-identifying Hospital Discharge Summaries: An End-to-End Framework using Ensemble of De-Identifiers. - Orchi Hassan, Supriyo Datta, Kerem Yunus Çamsari:
Quantitative Evaluation of Hardware Binary Stochastic Neurons. - Haoyue Shi, Luke Zettlemoyer, Sida I. Wang:
Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment. - Hung Le, Chinnadhurai Sankar, Seungwhan Moon, Ahmad Beirami, Alborz Geramifard, Satwik Kottur:
DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue. - Hailiang Liu, Peimeng Yin:
Energy stable Runge-Kutta discontinuous Galerkin schemes for fourth order gradient flows. - Liu Bin, Wang Liang, Guosheng Yin:
A Graph Total Variation Regularized Softmax for Text Generation. - Tianqing Fang, Hongming Zhang, Weiqi Wang, Yangqiu Song, Bin He:
DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge. - Jing Lin, Ryan Luley, Kaiqi Xiong:
Active Learning Under Malicious Mislabeling and Poisoning Attacks. - David Enthoven, Zaid Al-Ars:
Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning. - Hyunjae Kim, Jaewoo Kang:
How Do Your Biomedical Named Entity Models Generalize to Novel Entities? - Jin Gyu Lee, Hyungbo Shim:
Design of heterogeneous multi-agent system for distributed computation. - Yi Cheng, Sujian Li, Yueyuan Li:
Unifying Discourse Resources with Dependency Framework. - Daniel Szelogowski:
Generative Deep Learning for Virtuosic Classical Music: Generative Adversarial Networks as Renowned Composers. - Daniel Szelogowski:
Visualization Techniques with Data Cubes: Utilizing Concurrency for Complex Data. - Daniel Szelogowski:
Optimizing Data Cube Visualization for Web Applications: Performance and User-Friendly Data Aggregation. - Daniel Szelogowski:
Chunk List: Concurrent Data Structures. - Mohamed Elhoseiny, Kai Yi, Mohamed Elfeki:
CIZSL++: Creativity Inspired Generative Zero-Shot Learning. - Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao:
UnitedQA: A Hybrid Approach for Open Domain Question Answering. - Sunil Gundapu, Radhika Mamidi:
Transformer based Automatic COVID-19 Fake News Detection System. - Md. Touhidul Islam, Sanjida Reza Rafa, Md. Golam Kibria:
Early Prediction of Heart Disease Using PCA and Hybrid Genetic Algorithm with k-Means. - Tianyu Wang, Vikas Dhiman, Nikolay Atanasov:
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning. - Xiang Lisa Li, Percy Liang:
Prefix-Tuning: Optimizing Continuous Prompts for Generation. - Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz:
Dynamic Federated Learning-Based Economic Framework for Internet-of-Vehicles. - Zhengxuan Wu, Desmond C. Ong:
On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification. - Chang Keun Paik, Naeun Ko, Youngjoon Yoo:
More than just an auxiliary loss: Anti-spoofing Backbone Training via Adversarial Pseudo-depth Generation. - Xiaoxue Zhang, Zilong Cheng, Jun Ma, Sunan Huang, Frank L. Lewis, Tong Heng Lee:
Semi-Definite Relaxation Based ADMM for Cooperative Planning and Control of Connected Autonomous Vehicles. - Anish Madan, Ranjitha Prasad:
B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning. - Abhik Bhattacharjee, Tahmid Hasan, Kazi Samin, M. Sohel Rahman, Anindya Iqbal, Rifat Shahriyar:
BanglaBERT: Combating Embedding Barrier for Low-Resource Language Understanding. - Ginni Garg, Dheeraj Kumar, ArvinderPal, Yash Sonker, Ritu Garg:
A Hybrid MLP-SVM Model for Classification using Spatial-Spectral Features on Hyper-Spectral Images. - Ginni Garg, Mantosh Biswas:
Improved Neural Network based Plant Diseases Identification. - Ginni Garg, Ritu Garg:
Brain Tumor Detection and Classification based on Hybrid Ensemble Classifier. - Weidong Mei, Rui Zhang:
Multi-Beam Multi-Hop Routing for Intelligent Reflecting Surfaces Aided Massive MIMO. - Yingshi Chen:
An iterative K-FAC algorithm for Deep Learning. - Xin Ma, Zhicheng Zhang, Danfeng Wang, Yu Luo, Hui Yuan:
Adaptive Deconvolution-based stereo matching Net for Local Stereo Matching. - Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo:
Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers. - Yuting Zhan, Hamed Haddadi:
MoSen: Activity Modelling in Multiple-Occupancy Smart Homes. - Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent W. Zheng, Tong Xu, Enhong Chen:
Adam revisited: a weighted past gradients perspective. - Siddique Latif, Heriberto Cuayáhuitl, Farrukh Pervez, Fahad Shamshad, Hafiz Shehbaz Ali, Erik Cambria:
A Survey on Deep Reinforcement Learning for Audio-Based Applications. - Gwanghyun Jo, Do Young Kwak, Young Ju Lee:
Locally conservative immersed finite element method for elliptic interface problems. - Hiroshi Kera, Yoshihiko Hasegawa:
Monomial-agnostic computation of vanishing ideals. - Jinghe Wang, Wankai Tang, Yu Han, Shi Jin, Xiao Li, Chao-Kai Wen, Qiang Cheng, Tie Jun Cui:
Interplay between RIS and AI in Wireless Communications: Fundamentals, Architectures, Applications, and Open Research Problems. - Oded Nov:
Interface Features and Users' Well-Being: Measuring the Sensitivity of Users' Well-Being to Resource Constraints and Feature Types. - Pengyuan Zhou, Benjamin Finley, Xuebing Li, Sasu Tarkoma, Jussi Kangasharju, Mostafa H. Ammar, Pan Hui:
5G MEC Computation Handoff for Mobile Augmented Reality. - Bin Li:
Efficient Learning-based Scheduling for Information Freshness in Wireless Networks. - Sajad Norouzi, Yanshuai Cao:
Semantic Parsing with Less Prior and More Monolingual Data. - Eleftherios Triantafyllidis, Zhibin Li:
The Challenges in Modeling Human Performance in 3D Space with Fitts' Law. - Batool Ibrahim, Hassan Noura:
Formation Flight Control of Multi-UAV System Using Neighbor-based Trajectory Generation Topology. - Xiaopeng Lu, Tiancheng Zhao, Kyusong Lee:
VisualSparta: Sparse Transformer Fragment-level Matching for Large-scale Text-to-Image Search. - Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou:
Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices. - Alessandro Tundo, Chiara Castelnovo, Marco Mobilio, Oliviero Riganelli, Leonardo Mariani:
Declarative Dashboard Generation. - Joar Skalse:
A General Counterexample to Any Decision Theory and Some Responses. - Valentina Anita Carriero, Aldo Gangemi, Andrea Giovanni Nuzzolese, Valentina Presutti:
An Ontology Design Pattern for representing Recurrent Situations. - Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld:
Polyjuice: Automated, General-purpose Counterfactual Generation. - Sainan Zhang, Tzu-Hao Huang, Chunhai Jiao, Mhairi MacLean, Junxi Zhu, Shuangyue Yu, Hao Su:
Design and Actuator Optimization of Lightweight and Compliant Knee Exoskeleton for Mobility Assistance of Children with Crouch Gait. - Sriram Siva, Maggie B. Wigness, John G. Rogers, Hao Zhang:
Robot Adaptation for Generating Consistent Navigational Behaviors over Unstructured Off-Road Terrain. - Hossein Pirayesh, Huacheng Zeng:
Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey. - Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Reader-Guided Passage Reranking for Open-Domain Question Answering. - Ali Tourani, Sajjad Soroori, Asadollah Shahbahrami, Ali Reza Akoushideh:
Iranis: A Large-scale Dataset of Farsi License Plate Characters. - Peter Cihon, Taha Yasseri, Scott Hale, Helen Z. Margetts:
Tweeting for the Cause: Network analysis of UK petition sharing. - Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut:
Understanding Few-Shot Commonsense Knowledge Models. - Dhruv Malik, Yuanzhi Li, Pradeep Ravikumar:
When Is Generalizable Reinforcement Learning Tractable? - Fang Liu, Dong Wang, Zhengquan Xu:
Privacy-preserving Travel Time Prediction with Uncertainty Using GPS Trace Data. - Fang Liu, Xingyuan Zhao, Gaofei Zhang:
Disclosure Risk from Homogeneity Attack in Differentially Private Frequency Distribution. - Otmar Ertl:
SetSketch: Filling the Gap between MinHash and HyperLogLog. - Xiaofeng Liu, Bo Hu, Xiongchang Liu, Jun Lu, Jane You, Lingsheng Kong:
Energy-constrained Self-training for Unsupervised Domain Adaptation. - Xiaofeng Liu, Linghao Jin, Xu Han, Jun Lu, Jane You, Lingsheng Kong:
Identity-aware Facial Expression Recognition in Compressed Video. - Xiaofeng Liu, Xiongchang Liu, Bo Hu, Wenxuan Ji, Fangxu Xing, Jun Lu, Jane You, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis. - Eric Hallman:
Faster Stochastic Trace Estimation with a Chebyshev Product Identity. - Joseph S. B. Mitchell:
Approximating Maximum Independent Set for Rectangles in the Plane. - Mitziu Echeverria, Zeeshan Ahmed, Bincheng Wang, M. Fareed Arif, Syed Rafiul Hussain, Omar Chowdhury:
PHOENIX: Device-Centric Cellular Network Protocol Monitoring using Runtime Verification. - Muhammad Saad, Zhan Qin, Kui Ren, DaeHun Nyang, David Mohaisen:
e-PoS: Making Proof-of-Stake Decentralized and Fair. - Md Sakib Hasan, Aysha S. Shanta, Partha Sarathi Paul, Maisha Sadia, Md. Badruddoja Majumder, Garrett S. Rose:
Design of an Enhanced Reconfigurable Chaotic Oscillator using G4FET-NDR Based Discrete Map. - Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey:
Neural Architecture Search via Combinatorial Multi-Armed Bandit. - Tobias Schlosser, Frederik Beuth, Danny Kowerko:
Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Generation. - Hong Luo, Gianni Absillis, Robert R. Nourgaliev:
A Moving Discontinuous Galerkin Finite Element Method with Interface Conservation Enforcement for Compressible Flows. - Angus Baird, Stefano Giani:
An Artificial Intelligence System for Combined Fruit Detection and Georeferencing, Using RTK-Based Perspective Projection in Drone Imagery. - Hyesung Kim, Jihong Park, Mehdi Bennis, Seong-Lyun Kim, Mérouane Debbah:
Mean-Field Game-Theoretic Edge Caching. - Yasumasa Onoe, Michael Boratko, Greg Durrett:
Modeling Fine-Grained Entity Types with Box Embeddings. - John Hawkins:
Minimum Viable Model Estimates for Machine Learning Projects. - Abhishek Das, Japsimar Singh Wahi, Mansi Anand, Yugant Rana:
Multi-Image Steganography Using Deep Neural Networks. - Geoff Boeing, Dani Arribas-Bel:
GIS and Computational Notebooks. - Amanda Coston, Ashesh Rambachan, Alexandra Chouldechova:
Characterizing Fairness Over the Set of Good Models Under Selective Labels. - Mehmet Kolcu, Alper Ekrem Murat:
Integrated Optimization of Predictive and Prescriptive Tasks. - Yehua Wei, Lei Zhang, Ruiyi Zhang, Shijing Si, Hao Zhang, Lawrence Carin:
Reinforcement Learning for Flexibility Design Problems. - Mingjian Zhu, Chenrui Duan, Changbin Yu:
Video Captioning in Compressed Video. - Olga Poppe, Chuan Lei, Lei Ma, Allison Rozet, Elke A. Rundensteiner:
To Share, or not to Share Online Event Trend Aggregation Over Bursty Event Streams. - Chi-Jen Wu, Wei-Sheng Zeng, Jan-Ming Ho:
Optimal Segmented Linear Regression for Financial Time Series Segmentation. - Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi:
On-the-Fly Attention Modularization for Neural Generation. - Bill Yuchen Lin, Ziyi Wu, Yichi Yang, Dong-Ho Lee, Xiang Ren:
RiddleSense: Answering Riddle Questions as Commonsense Reasoning. - Lihao Zhang, Taotao Wang, Soung Chang Liew:
Speeding up Block Propagation in Blockchain Network: Uncoded and Coded Designs. - Sharon Levy, Michael Saxon, William Yang Wang:
The Truth is Out There: Investigating Conspiracy Theories in Text Generation. - Aleksey K. Alekseev, Alexander E. Bondarev:
The Estimation of Approximation Error using the Inverse Problem and the Set of Numerical Solutions. - Bohai Li, Qian Wang, He Chen, Yong Zhou, Yonghui Li:
Optimizing Information Freshness for Cooperative IoT Systems with Stochastic Arrivals. - Jui Shah, Yaman Kumar Singla, Changyou Chen, Rajiv Ratn Shah:
What all do audio transformer models hear? Probing Acoustic Representations for Language Delivery and its Structure. - Houjin Yu, Xian-Ling Mao, Zewen Chi, Wei Wei, Heyan Huang:
A Robust and Domain-Adaptive Approach for Low-Resource Named Entity Recognition. - Alexander Spangher, Jonathan May, Sz-Rung Shiang, Lingjia Deng:
Multitask Learning for Class-Imbalanced Discourse Classification. - Changhan Wang, Morgane Rivière, Ann Lee, Anne Wu, Chaitanya Talnikar, Daniel Haziza, Mary Williamson, Juan Miguel Pino, Emmanuel Dupoux:
VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation. - Najoung Kim, Ellie Pavlick, Burcu Karagol Ayan, Deepak Ramachandran:
Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering. - Hao Fei, Meishan Zhang, Bobo Li, Donghong Ji:
End-to-end Semantic Role Labeling with Neural Transition-based Model. - Siqiang Chen, Masahiro Toyoura, Takamasa Terada, Xiaoyang Mao, Gang Xu:
Image-based Textile Decoding. - (Withdrawn) Lex-BERT: Enhancing BERT based NER with lexicons.
- Naveen T. R. Babu, Christopher Stewart:
Early Work on Efficient Patching for Coordinating Edge Applications. - Aram Ebtekar, Paul Liu:
An Elo-like System for Massive Multiplayer Competitions. - Hiroshi Kera:
Border Basis Computation with Gradient-Weighted Norm. - Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Superbizarre Is Not Superb: Improving BERT's Interpretations of Complex Words with Derivational Morphology. - Mario Kapl, Vito Vitrih:
C1 isogeometric spline space for trilinearly parameterized multi-patch volumes. - Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan:
Cross-Document Language Modeling. - Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu:
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning. - Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro:
End-to-End Training of Neural Retrievers for Open-Domain Question Answering. - Haoyue Shi, Karen Livescu, Kevin Gimpel:
Substructure Substitution: Structured Data Augmentation for NLP. - Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei:
Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting. - Xing Li, Wei Wei, Xiangnan Feng, Zhiming Zheng:
Representation Learning of Reconstructed Graphs Using Random Walk Graph Convolutional Network. - Yiran Xing, Zai Shi, Zhao Meng, Yunpu Ma, Roger Wattenhofer:
KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation. - Qinyuan Ye, Xiang Ren:
Zero-shot Learning by Generating Task-specific Adapters. - Nikolay Bogoychev, Pinzhen Chen:
Decoding Time Lexical Domain Adaptationfor Neural Machine Translation. - Davide Bianchi, Marco Donatelli, Fabio Durastante, Mariarosa Mazza:
Compatibility, embedding and regularization of non-local random walks on graphs. - Abu Awal Md Shoeb, Gerard de Melo:
Assessing Emoji Use in Modern Text Processing Tools. - Matteo Poggi, Seungryong Kim, Fabio Tosi, Sunok Kim, Filippo Aleotti, Dongbo Min, Kwanghoon Sohn, Stefano Mattoccia:
On the confidence of stereo matching in a deep-learning era: a quantitative evaluation. - Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang:
Dimensions of Transparency in NLP Applications. - Yuval Kirstain, Ori Ram, Omer Levy:
Coreference Resolution without Span Representations. - Omar Khattab, Christopher Potts, Matei Zaharia:
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval. - Ori Ram, Yuval Kirstain, Jonathan Berant, Amir Globerson, Omer Levy:
Few-Shot Question Answering by Pretraining Span Selection. - Alexandros Stergiou, Ronald Poppe, Grigorios Kalliatakis:
Refining activation downsampling with SoftPool. - Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian D. Reid, Stephen Gould, Peter Corke, Michael Milford:
Semantics for Robotic Mapping, Perception and Interaction: A Survey. - Sergio Cabello, Michael Hoffmann, Katharina Klost, Wolfgang Mulzer, Josef Tkadlec:
Long plane trees. - David Auber, Pavel Valtr:
Graph Drawing and Network Visualization GD2020. - Barbara Giunti:
Notes on pivot pairings. - Sayantan Adak, Souvic Chakraborty, Paramita Das, Mithun Das, Abhisek Dash, Rima Hazra, Binny Mathew, Punyajoy Saha, Soumya Sarkar, Animesh Mukherjee:
Mining the online infosphere: A survey. - Sami Khairy, Prasanna Balaprakash, Lin X. Cai, H. Vincent Poor:
Learning-Based Distributed Random Access for Multi-Cell IoT Networks with NOMA. - Alina Roitberg, Monica Haurilet, Manuel Martínez, Rainer Stiefelhagen:
Uncertainty-sensitive Activity Recognition: a Reliability Benchmark and the CARING Models. - Adil I. Erzin, Vladimir Shenmaier:
An Improved Approximation for Packing Big Two-Bar Charts. - Iuliana Marin:
Study of mental health and learning engagement during COVID-19 pandemic based on an electroencephalogram headset. - Nelson P. K. Chan, Bayu Jayawardhana, Héctor García de Marina:
Securing Isosceles Triangular Formations under Heterogeneous Sensing and Mixed Constraints. - Ramesha Karunasena, Piumi Sandarenu, Madushi Pinto, Achala Athukorala, Ranga Rodrigo, Peshala Jayasekara:
DEVI: Open-source Human-Robot Interface for Interactive Receptionist Systems. - Somya D. Mohanty, Brown Biggers, Saed SayedAhmed, Nastaran Pourebrahim, Evan B. Goldstein, Rick Bunch, Guangqing Chi, Fereidoon Sadri, Tom P. McCoy, Arthur Cosby:
A multi-modal approach towards mining social media data during natural disasters - a case study of Hurricane Irma. - Junming Zhang, Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson:
Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks. - Sanaz Azimipour, Pavel Naumov:
If You're Happy, Then You Know It: The Logic of Happiness... and Sadness. - Minbo Gao, Tianle Xie, Simon S. Du, Lin F. Yang:
A Provably Efficient Algorithm for Linear Markov Decision Process with Low Switching Cost. - Abhishek Das, Vivek Dhuri, Aditya Desai, Suyash Ail, Ameya Kadam:
Smart Car Features using Embedded Systems and IoT. - Benjamin Maschler, Thi Thu Huong Pham, Michael Weyrich:
Regularization-based Continual Learning for Anomaly Detection in Discrete Manufacturing. - Ben S. Southworth, Oliver A. Krzysik, Will Pazner, Hans De Sterck:
Fast parallel solution of fully implicit Runge-Kutta and discontinuous Galerkin in time for numerical PDEs, Part I: the linear setting. - Yan Liu, Yansha Deng, Hui Zhou, Maged Elkashlan, Arumugam Nallanathan:
A General Deep Reinforcement Learning Framework for Grant-Free NOMA Optimization in mURLLC. - Ibrahim Yilmaz, Ambareen Siraj, Denis A. Ulybyshev:
Improving DGA-Based Malicious Domain Classifiers for Malware Defense with Adversarial Machine Learning. - Serban Stan, Mohammad Rostami:
Privacy Preserving Domain Adaptation for Semantic Segmentation of Medical Images. - Sudipta Banerjee, Arun Ross:
One-shot Representational Learning for Joint Biometric and Device Authentication. - Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, Jianfeng Gao:
VinVL: Making Visual Representations Matter in Vision-Language Models. - Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Ding Zhao:
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. - Dinghua Shi, Zhifeng Chen, Xiang Sun, Qinghua Chen, Yang Lou, Guanrong Chen:
Computing Cliques and Cavities in Networks. - Zeming Chen:
Attentive Tree-structured Network for Monotonicity Reasoning. - Yanyang Li, Ye Lin, Tong Xiao, Jingbo Zhu:
An Efficient Transformer Decoder with Compressed Sub-layers. - Taehyeun Park, Walid Saad, Bo Zhou:
Centralized and Distributed Age of Information Minimization with non-linear Aging Functions in the Internet of Things. - Ashraful Islam, Chengjiang Long, Richard J. Radke:
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization. - William T. Redman:
On Koopman Mode Decomposition and Tensor Component Analysis. - Hyungbo Shim, Juhoon Back, Yongsoon Eun, Gyunghoon Park, Jihan Kim:
Zero-dynamics Attack, Variations, and Countermeasures. - Sairam Sri Vatsavai, Ishan G. Thakkar:
Silicon Photonic Microring Based Chip-Scale Accelerator for Delayed Feedback Reservoir Computing. - Tianxiao Zhang, Wenchi Ma, Guanghui Wang:
Six-channel Image Representation for Cross-domain Object Detection. - Arkabandhu Chowdhury, Mingchao Jiang, Chris Jermaine:
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier. - Sahil Sidheekh:
Learning Neural Networks on SVD Boosted Latent Spaces for Semantic Classification. - Usman Ashraf, Amir Khwaja, Junaid Qadir, Stefano Avallone, Chau Yuen:
WiMesh: Leveraging Mesh Networking For Disaster Communication in Poor Regions of the World. - Amir Zadeh, Santiago Benoit, Louis-Philippe Morency:
StarNet: Gradient-free Training of Deep Generative Models using Determined System of Linear Equations. - Nimrod Segol, Boaz Nadler:
Improved Convergence Guarantees for Learning Gaussian Mixture Models by EM and Gradient EM. - Tom Demeulemeester, Dries R. Goossens, Ben Hermans, Roel Leus:
Risk aversion in one-sided matching. - Lihi Dery:
Multi-label Ranking: Mining Multi-label and Label Ranking Data. - Anthony Cowley, Ian D. Miller, Camillo Jose Taylor:
UPSLAM: Union of Panoramas SLAM. - Lorenzo Ferretti, Jihye Kwon, Giovanni Ansaloni, Giuseppe Di Guglielmo, Luca P. Carloni, Laura Pozzi:
DB4HLS: A Database of High-Level Synthesis Design Space Explorations. - Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen:
Style Normalization and Restitution for DomainGeneralization and Adaptation. - Matthias Nickles:
diff-SAT - A Software for Sampling and Probabilistic Reasoning for SAT and Answer Set Programming. - Chen Zhao, Yixiao Ge, Jiaqi Yang, Feng Zhu, Rui Zhao, Hongsheng Li:
Consensus-Guided Correspondence Denoising. - Xuerui Wang, Tigran Mkhoyan, Roeland de Breuker:
Nonlinear Incremental Control for Flexible Aircraft Trajectory Tracking and Load Alleviation. - Zhongxing Sun, Wei Cui, Yulong Liu:
Phase Transitions in Recovery of Structured Signals from Corrupted Measurements. - Zhuqing Jiang, Haotian Li, Liangjie Liu, Aidong Men, Haiying Wang:
A Switched View of Retinex: Deep Self-Regularized Low-Light Image Enhancement. - Jizhe Zhou, Chi-Man Pun, Yu Tong:
Privacy-sensitive Objects Pixelation for Live Video Streaming. - Jizhe Zhou, Chi-Man Pun, Yu Tong:
News Image Steganography: A Novel Architecture Facilitates the Fake News Identification. - Xing Wei, Chenyang Yang, Shengqian Han:
Duration-Squeezing-Aware Communication and Computing for Proactive VR. - Yiru Zhao, Ruiheng Shi, Lei Zhao, Yueqiang Cheng:
AlphaFuzz: Evolutionary Mutation-based Fuzzing as Monte Carlo Tree Search. - Tong Zhang, Yinfei Xu, Shuai Wang, Miaowen Wen, Rui Wang:
On Secure Degrees of Freedom of the MIMO Interference Channel with Local Output Feedback. - Michal Lukasz Mika, René Rinke Hiemstra, Thomas Joseph Robert Hughes, Dominik Schillinger:
A comparison of matrix-free isogeometric Galerkin and collocation methods for Karhunen-Loève expansion. - Xin Wang, Su Gao, Monan Wang, Zhenghua Duan:
An Marching Cube Algorithm Based on Edge Growth. - Md. Naimul Hoque, Klaus Mueller:
Outcome-Explorer: A Causality Guided Interactive Visual Interface for Interpretable Algorithmic Decision Making. - Cui Su, Jun Pang:
Target Control of Asynchronous Boolean Networks. - Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li:
AttnMove: History Enhanced Trajectory Recovery via Attentional Network. - Atreyee Kundu:
A scheduling algorithm for networked control systems. - Weifeng Zhu, Meixia Tao, Xiaojun Yuan, Yunfeng Guan:
Deep-Learned Approximate Message Passing for Asynchronous Massive Connectivity. - Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, S. Ali Etemad:
Depth as Attention for Face Representation Learning. - Maria Teresa Malheiro, Gaspar José Machado, Stéphane Clain:
An a posteriori strategy for adaptive schemes in time and space. - Cornelius Fritz, Emilio Dorigatti, David Rügamer:
Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany. - Yuqing Ni, Junfeng Wu, Li Li, Ling Shi:
Multi-Party Dynamic State Estimation that Preserves Data and Model Privacy. - Idoia Ruiz, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Joan Serrat:
Weakly Supervised Multi-Object Tracking and Segmentation. - Ahmad Reza Cheraghi, Sahdia Shahzad, Kalman Graffi:
Past, Present, and Future of Swarm Robotics. - Ozan Kaan Kayaalp:
Learning optimal Bayesian prior probabilities from data. - Dennis Ulmer:
Recoding latent sentence representations - Dynamic gradient-based activation modification in RNNs. - Mohamad Alissa, Issa Haddad, Jonathan Meyer, Jade Obeid, Kostis Vilaetis, Nicolas Wiecek, Sukrit Wongariyakavee:
Sentiment Analysis for Open Domain Conversational Agent. - Bilal Yousaf, Muhammad Usama, Waqas Sultani, Arif Mahmood, Junaid Qadir:
Fake Visual Content Detection Using Two-Stream Convolutional Neural Networks. - Haonan Tong, Tao Wang, Yujiao Zhu, Xuanlin Liu, Sihua Wang, Changchuan Yin:
Mobility-Aware Seamless Handover with MPTCP in Software-Defined HetNets. - Mebratu Wakeni, Ankush Aggarwal, Lukasz Kaczmarczyk, Andrew McBride, Ignatios Athanasiadis, Chris J. Pearce, Paul Steinmann:
A p-adaptive, implicit-explicit mixed finite element method for reaction-diffusion problems. - Jacek Cyranka, Jean-Philippe Lessard:
Validated forward integration scheme for parabolic PDEs via Chebyshev series. - Muhammad Mohsin Kabir, Abu Quwsar Ohi, Md. Saifur Rahman, Muhammad Firoz Mridha:
An Evolution of CNN Object Classifiers on Low-Resolution Images. - Carlos E. Arruda, Pedro F. Moraes, Nazim Agoulmine, Joberto S. B. Martins:
Enhanced Pub/Sub Communications for Massive IoT Traffic with SARSA Reinforcement Learning. - Rohit Agrawal, Kapil Ahuja:
CSIS: compressed sensing-based enhanced-embedding capacity image steganography scheme. - Guillem Francès, Blai Bonet, Hector Geffner:
Learning General Policies from Small Examples Without Supervision. - Rakesh Dhakshinamurthy:
Neural Networks for Keyword Spotting on IoT Devices. - Hauke Brinkop, Klaus Jansen, Tim Weißenfels:
An optimal FPT algorithm parametrized by treewidth for Weighted-Max-Bisection given a tree decomposition as advice assuming SETH and the hardness of MinConv. - Yohai Reani, Omer Bobrowski:
Cycle Registration in Persistent Homology with Applications in Topological Bootstrap. - Carlos Lordelo, Emmanouil Benetos, Simon Dixon, Sven Ahlbäck, Patrik Ohlsson:
Adversarial Unsupervised Domain Adaptation for Harmonic-Percussive Source Separation. - Samit Chakraborty, Marguerite Moore, Lisa Parrillo-Chapman:
Automatic Defect Detection of Print Fabric Using Convolutional Neural Network. - Bernhard Haeupler, Amirbehshad Shahrasbi:
Synchronization Strings and Codes for Insertions and Deletions - a Survey. - Senthil Rajasekaran, Moshe Y. Vardi:
Nash Equilibria in Finite-Horizon Multiagent Concurrent Games. - Ozgur Ceyhan:
Algorithmic Complexities in Backpropagation and Tropical Neural Networks. - Domenico Cantone, Simone Faro, Arianna Pavone:
Text Searching Allowing for Non-Overlapping Adjacent Unbalanced Translocations. - Gaspar José Machado, Stéphane Clain, Raphaël Loubère:
a posteriori stabilized sixth-order finite volume scheme with adaptive stencil construction - Basics for the 1D steady-state hyperbolic equations. - Dom Huh:
Synthetic Embedding-based Data Generation Methods for Student Performance. - Ruduan Plug:
Meta-Learning Conjugate Priors for Few-Shot Bayesian Optimization. - Harsh Dhillon, Anwar Haque:
Towards Network Traffic Monitoring Using Deep Transfer Learning. - Muhtadyuzzaman Syed, Arvind Akpuram Srinivasan:
Generalized Latency Performance Estimation for Once-For-All Neural Architecture Search. - Cheng Chi, Dmitry Berenson:
Occlusion-robust Deformable Object Tracking without Physics Simulation. - Xin Tan, Longyin Zhang, Guodong Zhou:
Are Eliminated Spans Useless for Coreference Resolution? Not at all. - Thejan Rajapakshe, Rajib Rana, Sara Khalifa, Björn W. Schuller, Jiajun Liu:
A novel policy for pre-trained Deep Reinforcement Learning for Speech Emotion Recognition. - Hazem Ibrahim, Hina Tabassum, Uyen Trang Nguyen:
Exact Coverage Analysis of Intelligent Reflecting Surfaces with Nakagami-{m} Channels. - Murilo M. Marinho, Kanako Harada, Kyoichi Deie, Tetsuya Ishimaru, Mamoru Mitsuishi:
SmartArm: Suturing Feasibility of a Surgical Robotic System on a Neonatal Chest Model. - Seyedrazieh Bayati, Faramarz Jabbarvaziri:
Learning to Optimize Under Constraints with Unsupervised Deep Neural Networks. - Yuke Wang, Boyuan Feng, Yufei Ding:
DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions. - Liwen Zhu, Peixi Peng, Zongqing Lu, Xiangqian Wang, Yonghong Tian:
Variationally and Intrinsically motivated reinforcement learning for decentralized traffic signal control. - Yuheng Ma, Zhi-Qin John Xu, Jiwei Zhang:
Frequency Principle in Deep Learning Beyond Gradient-descent-based Training. - Yuandong Wang, Hongzhi Yin, Tong Chen, Chunyang Liu, Ben Wang, Tianyu Wo, Jie Xu:
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph. - Rong Jin, Weili Wu:
Schemes of Propagation Models and Source Estimators for Rumor Source Detection in Online Social Networks: A Short Survey of a Decade of Research. - Quan Vuong:
Machine Learning for Robotic Manipulation. - Brittany Reid, Keila Barbosa, Marcelo d'Amorim, Markus Wagner, Christoph Treude:
NCQ: code reuse support for Node.js developers. - Yarong Luo, Jianlang Hu, Chi Guo:
Kalman Filter from the Mutual Information Perspective. - Ning Bian, Xianpei Han, Bo Chen, Le Sun:
Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation. - Timothy Overbye, Srikanth Saripalli:
Path Optimization for Ground Vehicles in Off-Road Terrain. - Jeremy Gordon, Max T. Curran, John Chuang, Coye Cheshire:
Covert Embodied Choice: Decision-Making and the Limits of Privacy Under Biometric Surveillance. - Mohammadhossein Toutiaee, John A. Miller:
Gaussian Function On Response Surface Estimation. - Daron Acemoglu, Alireza Fallah, Andrea Giometto, Daniel P. Huttenlocher, Asuman E. Ozdaglar, Francesca Parise, Sarath Pattathil:
Optimal adaptive testing for epidemic control: combining molecular and serology tests. - Fengbin Zhu, Wenqiang Lei, Chao Wang, Jianming Zheng, Soujanya Poria, Tat-Seng Chua:
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering. - Minghui Liwang, Ruitao Chen, Xianbin Wang:
Resource Trading in Edge Computing-enabled IoV: An Efficient Futures-based Approach. - Minghui Liwang, Zhibin Gao, Xianbin Wang:
Let' s Trade in The Future! A Futures-Enabled Fast Resource Trading Mechanism in Edge Computing-Assisted UAV Networks. - Yile Liang, Tieyun Qian:
Recommending Accurate and Diverse Items Using Bilateral Branch Network. - Zekun Wang, Pengwei Wang, Peter C. Louis, Lee E. Wheless, Yuankai Huo:
WearMask: Fast In-browser Face Mask Detection with Serverless Edge Computing for COVID-19. - Kevin Lin:
Do Abstractions Have Politics? Towards a More Critical Algorithm Analysis. - Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton:
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. - Amir K. Khandani:
Achieving Capacity Region of 2-users Weak GIC by Enlarging the Core in a Nested Set of Polymatroids (continuation of arXiv: 2012.07820 "Optimality of Gaussian in Enlarging HK Rate Region, and its Overlap with ..."). - Antony William Joseph, Jeevitha Shree Dv, Kamalpreet Singh Saluja, Abhishek Mukhopadhyay, Ramaswami Murugesh, Pradipta Biswas:
Eye Tracking to Understand Impact of Aging on Mobile Phone Applications. - Karthik E:
A Framework for Fast Scalable BNN Inference using Googlenet and Transfer Learning. - Somnath Arjun, Kamalpreet Singh Saluja, Pradipta Biswas:
Analysing ocular parameters for web browsing and graph visualization. - Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen:
Beyond Low-frequency Information in Graph Convolutional Networks. - Parimala M., R. M. Swarna Priya, Quoc-Viet Pham, Kapal Dev, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Thien Huynh-The:
Fusion of Federated Learning and Industrial Internet of Things: A Survey. - Ertan Kazikli, Serkan Saritas, Sinan Gezici, Serdar Yüksel:
Optimal Signaling with Mismatch in Priors of an Encoder and Decoder. - Yaliang Li, Daoyuan Chen, Bolin Ding, Kai Zeng, Jingren Zhou:
A Pluggable Learned Index Method via Sampling and Gap Insertion. - Chao Wang, Min Tao, Chen-Nee Chuah, James G. Nagy, Yifei Lou:
Minimizing L1 over L2 norms on the gradient. - Aman Abidi, Lu Chen, Rui Zhou, Chengfei Liu:
Searching Personalized k-wing in Large and Dynamic Bipartite Graphs. - Tatsuhito Hasegawa:
Smartphone Sensor-based Human Activity Recognition Robust to Different Sampling Rates. - Yanan Wang, Zhuqing Jiang, Chang Liu, Kai Li, Aidong Men, Haiying Wang:
Shed Various Lights on a Low-Light Image: Multi-Level Enhancement Guided by Arbitrary References. - Yue Mao, Yi Shen, Chao Yu, Longjun Cai:
A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis. - Xinghua Sun, Fangming Zhao, Howard H. Yang, Wen Zhan, Xijun Wang, Tony Q. S. Quek:
Optimizing Age of Information in Random-Access Poisson Networks. - Xinliang Liu, Eric Tsz Shun Chung, Lei Zhang:
Iterated numerical homogenization for multi-scale elliptic equations with monotone nonlinearity. - Yang Liu, Keze Wang, Haoyuan Lan, Liang Lin:
Temporal Contrastive Graph for Self-supervised Video Representation Learning. - Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen:
Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events. - Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen:
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation. - Gang Peng, Jinhu Liao, Shangbin Guan:
A Pushing-Grasping Collaborative Method Based on Deep Q-Network Algorithm in Dual Perspectives. - Rupak Majumdar, Kaushik Mallik, Anne-Kathrin Schmuck, Sadegh Soudjani:
Symbolic Control for Stochastic Systems via Parity Games. - Alexandre Decan, Tom Mens:
Lost in Zero Space - An Empirical Comparison of 0.y.z Releases in Software Package Distributions. - Wouter Groeneveld, Laurens Luyten, Joost Vennekens, Kris Aerts:
Exploring the Role of Creativity in Software Engineering. - Cameron Browne, Dennis J. N. J. Soemers, Éric Piette:
Strategic Features for General Games. - Felipe Ribas Coutinho, Victor Pires, Claudio Miceli, Daniel Sadoc Menasché:
Crypto-Hotwire: Illegal Blockchain Mining at Zero Cost Using Public Infrastructures. - Qiumei Cheng, Chunming Wu, Haifeng Zhou, Dezhang Kong, Dong Zhang, Junchi Xing, Wei Ruan:
Machine Learning based Malicious Payload Identification in Software-Defined Networking. - Yong Huang, Xiang Li, Wei Wang, Tao Jiang, Qian Zhang:
Towards Cross-Modal Forgery Detection and Localization on Live Surveillance Videos. - Aditya Arora, Muhammad Haris, Syed Waqas Zamir, Munawar Hayat, Fahad Shahbaz Khan, Ling Shao, Ming-Hsuan Yang:
Low Light Image Enhancement via Global and Local Context Modeling. - Jefferson E. Simões, Eduardo Ferreira, Daniel S. Menasché, Carlos Alberto Vieira Campos:
Blockchain Privacy Through Merge Avoidance and Mixing Services: a Hardness and an Impossibility Result. - Sinem Aslan, Luc Steels:
Identifying centres of interest in paintings using alignment and edge detection: Case studies on works by Luc Tuymans. - Michele Coscia:
The Atlas for the Aspiring Network Scientist. - Olivier Koch, Amine Benhalloum, Guillaume Genthial, Denis Kuzin, Dmitry Parfenchik:
Scalable representation learning and retrieval for display advertising. - Karola Marky, Andreas Weiß, Thomas Kosch:
Supporting Musical Practice Sessions Through HMD-Based Augmented Reality. - Josephine Selvarani Ruth D, Saniya Zeba, Vibha M. R, Rokesh Laishram, Gauthama Anand:
Design and Development of Robots End Effector Test Rig. - Josephine Selvarani Ruth D, Vishwas Navada B:
Human machine interaction systems encounters convergence. - Renate Motschnig, Michael Silber, Valdemar Svábenský:
How Does a Student-Centered Course on Communication and Professional Skills Impact Students in the Long Run? - Arthur Brack, Daniel Uwe Müller, Anett Hoppe, Ralph Ewerth:
Coreference Resolution in Research Papers from Multiple Domains. - Sana Haimour, Mohammad Rasmi Al-Mousa, Rashiq R. Marie:
Using Chaotic Stream Cipher to Enhance Data Hiding in Digital Images. - Chathura Sarathchandra:
REACT: Distributed Mobile Microservice Execution Enabled by Efficient Inter-Process Communication. - Stefan Wildhagen, Julian Berberich, Michael Hertneck, Frank Allgöwer:
Data-driven estimation of the maximum sampling interval: analysis and controller design for discrete-time systems. - Johannes Haug, Stefan Zürn, Peter El-Jiz, Gjergji Kasneci:
On Baselines for Local Feature Attributions. - Francesco Ranzato, Caterina Urban, Marco Zanella:
Fair Training of Decision Tree Classifiers. - Shanghua Gao, Qi Han, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming Cheng:
Global2Local: Efficient Structure Search for Video Action Segmentation. - Li Liu, Mengge He, Guanghui Xu, Mingkui Tan, Qi Wu:
How to Train Your Agent to Read and Write. - Enric Florit, Benjamin Smith:
Automorphisms and isogeny graphs of abelian varieties, with applications to the superspecial Richelot isogeny graph. - Yaowen Qiu, Yin Li, Yanchang Lu:
Zombie Account Detection Based on Community Detection and Uneven Assignation PageRank. - Yujiang He, Bernhard Sick:
CLeaR: An Adaptive Continual Learning Framework for Regression Tasks. - Dipto Sarkar, Piyush Yadav:
Donut visualizations for network-level and regional-level overview of Spatial Social Networks. - Heiko Becker, Nathaniel Bos, Ivan Gavran, Eva Darulova, Rupak Majumdar:
Lassie: HOL4 Tactics by Example. - Xiaoyang Zheng, Xin Tan, Jie Zhou, Lizhuang Ma, Rynson W. H. Lau:
Weakly-Supervised Saliency Detection via Salient Object Subitizing. - Arun I., Murugesan Venkatapathi:
An O(n) algorithm for generating uniform random vectors in n-dimensional cones. - Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System. - Niloofar Akhavan Javan, Ali Jebreili, Babak Mozafari, Morteza Hosseinioun:
Classification and Segmentation of Pulmonary Lesions in CT images using a combined VGG-XGBoost method, and an integrated Fuzzy Clustering-Level Set technique. - Pieter Collins:
Computable Random Variables and Conditioning. - Song Fang, Quanyan Zhu:
Relativistic Rocket Control (Relativistic Space-Travel Flight Control): Feedback Control of Relativistic Dynamics Propelled by Ejecting Mass. - Daniel Schuster, Gero J. Kolhof:
Scalable Online Conformance Checking Using Incremental Prefix-Alignment Computation. - Subhajit Roy, Justin Hsu, Aws Albarghouthi:
Learning Differentially Private Mechanisms. - Sebastian K. Mitusch, Simon W. Funke, Miroslav Kuchta:
Hybrid FEM-NN models: Combining artificial neural networks with the finite element method. - Lucas Henrique Costa de Lima, Julio C. S. Reis, Philipe F. Melo, Fabricio Murai, Fabrício Benevenuto:
Characterizing (Un)moderated Textual Data in Social Systems. - Lynn Wahab, Ezzat Chebaro, Jad Ismail, Amir Nasrelddine, Ali El-Zein:
A Predictive Model for Geographic Distributions of Mangroves. - Seyed Saber Nabavi Larimi, Behzad Salami, Osman S. Unsal, Adrián Cristal Kestelman, Hamid Sarbazi-Azad, Onur Mutlu:
Understanding Power Consumption and Reliability of High-Bandwidth Memory with Voltage Underscaling. - Yilun Zhou, Adi Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal:
Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms. - Hancheng Min, Enrique Mallada:
Coherence and Concentration in Tightly-Connected Networks. - Michael Weiss, Paolo Tonella:
Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification. - Claudia Daniela Antal, Tudor Cioara, Marcel Antal, Ionut Anghel:
Blockchain platform for COVID-19 vaccine supply management. - Yanghao Zhang, Fu Wang, Wenjie Ruan:
Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks. - Manel Mateos, Alejandro González, Xavier Sevillano:
Guiding GANs: How to control non-conditional pre-trained GANs for conditional image generation. - Paul Riggins, David McPherson:
Formal Game Grammar and Equivalence. - Haitao Lin, Zhangyang Gao, Lirong Wu, Stan Z. Li:
Conditional Local Filters with Explainers for Spatio-Temporal Forecasting. - Kwang Ho Kim, Jong Hyok Choe, Sihem Mesnager:
Complete solution over Fpn of the equation Xpk+1+X+a=0. - Stanislav Sysala, Eva Hrubesova, Zdenek Michalec:
Optimization and variational principles for the shear strength reduction method. - Anandharaju Durai Raju, Ke Wang:
Echelon: Two-Tier Malware Detection for Raw Executables to Reduce False Alarms. - Yajie Zhang, Zuoqiang Shi:
A Second-Order Nonlocal Approximation for Surface Poisson Model with Dirichlet Boundary. - Brigitte Jaumard, Yan Wang:
A Two Sub-problem Decomposition for the Optimal Design of Filterless Optical Networks. - Jean-Guillaume Dumas, Clément Pernet, Alexandre Sedoglavic:
Some fast algorithms multiplying a matrix by its adjoint. - Evelyn Buckwar, Adeline Samson, Massimiliano Tamborrino, Irene Tubikanec:
Splitting methods for SDEs with locally Lipschitz drift. An illustration on the FitzHugh-Nagumo model. - Tao Xiang, Hangcheng Liu, Shangwei Guo, Tianwei Zhang, Xiaofeng Liao:
Local Black-box Adversarial Attacks: A Query Efficient Approach. - Corentin Barloy, Lorenzo Clemente:
Bidimensional linear recursive sequences and universality of unambiguous register automata. - Andrew Hoopes, Malte Hoffmann, Bruce Fischl, John V. Guttag, Adrian V. Dalca:
HyperMorph: Amortized Hyperparameter Learning for Image Registration. - Jian Chen, Meng Ling, Rui Li, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Torsten Möller, Robert S. Laramee, Han-Wei Shen, Katharina Wünsche, Qiru Wang:
VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications. - Ken S. Voskuil, Suzan Verberne:
Improving reference mining in patents with BERT. - Gustavo Henrique de Rosa, Mateus Roder, João P. Papa:
Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines. - Estefanía Recayte, Andrea Munari:
Caching at the Edge: Outage Probability. - Sanjay Goyal, Hussain Elkotby, Ravikumar Pragada, Tanbir Haque:
Reducing the Paging Overhead in Highly Directional Systems. - Sagar Venkatesh Gubbi, Shishir Kolathaya, Bharadwaj Amrutur:
Imitation Learning for High Precision Peg-in-Hole Tasks. - Sagar Venkatesh Gubbi, Raviteja Upadrashta, Shishir Kolathaya, Bharadwaj Amrutur:
Multi-Instance Aware Localization for End-to-End Imitation Learning. - Sagar Venkatesh Gubbi, Bharadwaj Amrutur:
Scene Text Detection for Augmented Reality - Character Bigram Approach to reduce False Positive Rate. - Sagar Gubbi Venkatesh, Nihesh Rathod, Shishir Kolathaya, Bharadwaj Amrutur:
Stochastic Action Prediction for Imitation Learning. - Jizhe Zhou, Chi-Man Pun:
Personal Privacy Protection via Irrelevant Faces Tracking and Pixelation in Video Live Streaming. - Bin Han, Wei Jiang, Mohammad Asif Habibi, Hans D. Schotten:
An Abstracted Survey on 6G: Drivers, Requirements, Efforts, and Enablers. - Estefanía Recayte, Francisco Lázaro, Gianluigi Liva:
Caching in Heterogeneous Satellite Networks with Fountain Codes. - Md. Ashek-Al-Aziz, Sagar Mahmud, Md. Azizul Islam, Jubayer Al Mahmud, Khan Md. Hasib:
A Comparative Study of AHP and Fuzzy AHP Method for Inconsistent Data. - Ramna Maqsood, UI. Bajwa, Gulshan Saleem, Rana Hammad Raza, MW. Anwar:
Anomaly Recognition from surveillance videos using 3D Convolutional Neural Networks. - Jiaheng Xie, Yidong Chai, Xiao Liu:
Understanding Health Misinformation Transmission: An Interpretable Deep Learning Approach to Manage Infodemics. - Alejandro Cabrera Aldaya, Billy Bob Brumley:
HyperDegrade: From GHz to MHz Effective CPU Frequencies. - Hansi Yang, Quanming Yao, James T. Kwok:
Tensorizing Subgraph Search in the Supernet. - Angus B. Clark, Visakan Mathivannan, Nicolas Rojas:
A Continuum Manipulator for Open-Source Surgical Robotics Research and Shared Development. - Liang Ma, Ting He, Kin K. Leung, Don Towsley, Ananthram Swami:
Additive Link Metrics Identification: Proof of Selected Lemmas and Propositions. - Ilke Bakir, Murat Yildirim, Evrim Ursavas:
An Integrated Optimization Framework for Multi-Component Predictive Analytics in Wind Farm Operations & Maintenance. - Matthieu Jedor, Jonathan Louëdec, Vianney Perchet:
Be Greedy in Multi-Armed Bandits. - Xiao Xu, Marta D'Elia, John T. Foster:
A machine-learning framework for peridynamic material models with physical constraints. - Junyong You, Jari Korhonen:
Transformer for Image Quality Assessment. - Mohak Sukhwani, Vishakh Duggal, Said Zahrai:
Dynamic Knowledge Graphs as Semantic Memory Model for Industrial Robots. - Mehdi Toumi, Adnan Aijaz:
System Performance Insights into Design of RIS-assisted Smart Radio Environments for 6G. - Zhong Li, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang:
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? - William Kuszmaul:
Binary Dynamic Time Warping in Linear Time. - Yunus Camgözlü, Yakup Kutlu:
Analysis of Filter Size Effect In Deep Learning. - Konstantinos P. Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis:
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning. - Prabhat Kumar, Eduardo Fernández:
A numerical scheme for filter boundary conditions in topology optimization on regular and irregular meshes. - E. K. Malakhovskaya, Y. P. Ekhlakov, P. V. Senchenko, A. A. Sidorov:
Methodology for design of templates of text communication messages for software marketing. - Michel Breyer, Jen Jen Chung, Lionel Ott, Roland Siegwart, Juan I. Nieto:
Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter. - Max Allan, A. Jonathan McLeod, Congcong Wang, Jean-Claude Rosenthal, Zhenglei Hu, Niklas Gard, Peter Eisert, Ke Xue Fu, Trevor Zeffiro, Wenyao Xia, Zhanshi Zhu, Huoling Luo, Fucang Jia, Xiran Zhang, Xiaohong Li, Lalith Sharan, Thomas Kurmann, Sebastian Schmid, Raphael Sznitman, Dimitris Psychogyios, Mahdi Azizian, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel:
Stereo Correspondence and Reconstruction of Endoscopic Data Challenge. - Paz Fink Shustin, Haim Avron:
Gauss-Legendre Features for Gaussian Process Regression. - Sarah Aguasvivas Manzano, Patricia Xu, Khoi Ly, Robert F. Shepherd, Nikolaus Correll:
High-bandwidth nonlinear control for soft actuators with recursive network models. - Zahra Roozbahani, Jalal Rezaeenour, Roshan Shahrooei, Hanif Emamgholizadeh:
Presenting a Dataset for Collaborator Recommending Systems in Academic Social Network: a Case Study on ReseachGate. - Michal Choras, Konstantinos P. Demestichas, Agata Gielczyk, Álvaro Herrero, Pawel Ksieniewicz, Konstantina Remoundou, Daniel Urda, Michal Wozniak:
Advanced Machine Learning Techniques for Fake News (Online Disinformation) Detection: A Systematic Mapping Study. - Arnold Filtser, Hung Le:
Clan Embeddings into Trees, and Low Treewidth Graphs. - Aravindh Krishnamoorthy, Robert Schober:
Successive Null-Space Precoder Design for Downlink MU-MIMO with Rate Splitting and Single-Stage SIC. - Jirí Síma, Stanislav Zák:
A polynomial time construction of a hitting set for read-once branching programs of width 3. - Spencer Frei, Yuan Cao, Quanquan Gu:
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise. - Nikolay Malkin, Caleb Robinson, Nebojsa Jojic:
High-resolution land cover change from low-resolution labels: Simple baselines for the 2021 IEEE GRSS Data Fusion Contest. - Thangarajah Akilan, Edna Johnson, Japneet Sandhu, Ritika Chadha, Gaurav Taluja:
A Hybrid Learner for Simultaneous Localization and Mapping. - Alvin Cheung, Natacha Crooks, Joseph M. Hellerstein, Mae Milano:
New Directions in Cloud Programming. - Wuchen Li:
Transport information Bregman divergences. - Xiaohan Chen, Yang Zhao, Yue Wang, Pengfei Xu, Haoran You, Chaojian Li, Yonggan Fu, Yingyan Lin, Zhangyang Wang:
SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training. - Ilke Demir, Umur A. Ciftci:
Where Do Deep Fakes Look? Synthetic Face Detection via Gaze Tracking. - Rafal Maslyk, Kinga Skorupska, Piotr Gago, Marcin Niewinski, Barbara Karpowicz, Anna Jaskulska, Katarzyna Abramczuk, Wieslaw Kopec:
Deploying Crowdsourcing for Workflow Driven Business Process. - Salman H. Khan, Muzammal Naseer, Munawar Hayat, Syed Waqas Zamir, Fahad Shahbaz Khan, Mubarak Shah:
Transformers in Vision: A Survey. - Sung-Chan Choi:
Spatial Parrondo games with spatially dependent game A. - Partha Sarathi Paul, Maisha Sadia, Md Sakib Hasan:
Design of a Dynamic Parameter-Controlled Chaotic-PRNG in a 65nm CMOS process. - Kamalakkannan Kamalavasan, Gihan R. Mudalige, István Z. Reguly, Suhaib A. Fahmy:
High-Level FPGA Accelerator Design for Structured-Mesh-Based Explicit Numerical Solvers. - Lawrence Thul, Warren B. Powell:
Stochastic Optimization for Vaccine and Testing Kit Allocation for the COVID-19 Pandemic. - Chloe He, Raksha Jain, Jérôme Chambost, Céline Jacques, Cristina Hickman:
Semantic Video Segmentation for Intracytoplasmic Sperm Injection Procedures. - Andreas Kleefeld:
The hot spots conjecture can be false: Some numerical examples. - Zhong Yang, Yuanwei Liu, Yue Chen, Naofal Al-Dhahir:
Machine Learning for User Partitioning and Phase Shifters Design in RIS-Aided NOMA Networks. - Sofia Oliveira, Daniel Loureiro, Alípio Jorge:
Transformers and Transfer Learning for Improving Portuguese Semantic Role Labeling. - Tiago de C. G. Pereira, Teófilo E. de Campos:
Learn by Guessing: Multi-Step Pseudo-Label Refinement for Person Re-Identification. - Anna Abalkina:
Detecting a network of hijacked journals by its archive. - Nicholas Botzer, Yifan Ding, Tim Weninger:
Reddit Entity Linking Dataset. - Claudio Daniel Tenorio de Barros, Matheus R. F. Mendonça, Alex Borges Vieira, Artur Ziviani:
A Survey on Embedding Dynamic Graphs. - Pierson T. Guthrey, James A. Rossmanith, Andrew J. Christlieb:
Parallel Scaling of the Regionally-Implicit Discontinuous Galerkin Method with Quasi-Quadrature-Free Matrix Assembly. - Eric Hallman:
A Block Bidiagonalization Method for Fixed-Precision Low-Rank Matrix Approximation. - Mostafa Hussein, Brendan Crowe, Marek Petrik, Momotaz Begum:
Robust Maximum Entropy Behavior Cloning. - Antonio Anastasio Bruto da Costa, Pallab Dasgupta, Nikolaos Kekatos:
Quantitative Corner Case Feature Analysis of Hybrid Automata with ForFETSMT. - Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew Howard, Marco Fornoni:
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. - Nadya Bliss, Lawrence A. Gordon, Daniel Lopresti, Fred Schneider, Suresh Venkatasubramanian:
A Research Ecosystem for Secure Computing. - Zhiyan Chen, Murat Simsek, Burak Kantarci:
Federated Learning-Based Risk-Aware Decision toMitigate Fake Task Impacts on CrowdsensingPlatforms. - Matt Campagna, Brian A. LaMacchia, David Ott:
Post Quantum Cryptography: Readiness Challenges and the Approaching Storm. - Annika Kreil, Andranik Tumasjan, Taha Yasseri, Isabell M. Welpe:
What drives passion? An empirical examination on the impact of personality trait interactions and job environments on work passion. - Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, W. G. Will Zhao, Hui Zhang:
Multi-Model Least Squares-Based Recomputation Framework for Large Data Analysis. - Matthew Zalesak, Samitha Samaranayake:
Real Time Operation of High-Capacity Electric Vehicle Ridesharing Fleets. - Elisa Bertino, Daniel W. Bliss, Daniel Lopresti, Larry Peterson, Henning Schulzrinne:
Computing Research Challenges in Next Generation Wireless Networking. - Yong Xu, Zhuohuang Zhang, Meng Yu, Shi-Xiong Zhang, Lianwu Chen, Dong Yu:
Generalized RNN beamformer for target speech separation. - Tagir Fabarisov, Ilshat Mamaev, Andrey Morozov, Klaus Janschek:
Model-based Fault Injection Experiments for the Safety Analysis of Exoskeleton System. - Thomas M. Conte, Ian T. Foster, William Gropp, Mark D. Hill:
Advancing Computing's Foundation of US Industry & Society. - Kinga Skorupska, Daniel Cnotkowski, Julia Paluch, Rafal Maslyk, Anna Jaskulska, Monika Kornacka, Wieslaw Kopec:
All Factors Should Matter! Reference Checklist for Describing Research Conditions in Pursuit of Comparable IVR Experiments. - Yongqiang Zhang, Mustafa A. Kishk, Mohamed-Slim Alouini:
A Survey on Integrated Access and Backhaul Networks. - Wojciech Ozga, Do Le Quoc, Christof Fetzer:
A practical approach for updating an integrity-enforced operating system. - Yanfang Liu, Yukun Guo, Jiguang Sun:
A deterministic-statistical approach to reconstruct moving sources using sparse partial data. - Maximilian Schleich, Zixuan Geng, Yihong Zhang, Dan Suciu:
GeCo: Quality Counterfactual Explanations in Real Time. - Daniel Cauchi, Adrian Muscat:
One vs Previous and Similar Classes Learning - A Comparative Study. - Andrew Bylard, Riccardo Bonalli, Marco Pavone:
Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems. - Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Aditya Ghose:
A Taxonomy for Mining and Classifying Privacy Requirements in Issue Reports. - Arpita Gang, Waheed U. Bajwa:
A Linearly Convergent Algorithm for Distributed Principal Component Analysis. - Miao Zhang, Kanapathippillai Cumanan, Jeyarajan Thiyagalingam, Yanqun Tang, Wei Wang, Zhiguo Ding, Octavia A. Dobre:
Exploiting Deep Learning for Secure Transmission in an Underlay Cognitive Radio Network. - Fan Peng, Hao Chen, Chang-An Zhao:
Algebraic Geometric Secret Sharing Schemes over Large Fields Are Asymptotically Threshold. - Guangquan Xu, Yihua Liu, Jun Xing, Tao Luo, Yonghao Gu, Shaoying Liu, Xi Zheng, Athanasios V. Vasilakos:
SG-PBFT: a Secure and Highly Efficient Blockchain PBFT Consensus Algorithm for Internet of Vehicles. - Guankai Li, Chi Zhang, Guosheng Lin:
CycleSegNet: Object Co-segmentation with Cycle Refinement and Region Correspondence. - Fukang Tian, Haiyu Wu, Bo Xu:
Research on Fast Text Recognition Method for Financial Ticket Image. - Caleb Voss, Vivek Sarkar:
An Ownership Policy and Deadlock Detector for Promises. - Zhuang Liu, Yunpu Ma, Yuanxin Ouyang, Zhang Xiong:
Contrastive Learning for Recommender System. - Sehoon Kim, Amir Gholami, Zhewei Yao, Michael W. Mahoney, Kurt Keutzer:
I-BERT: Integer-only BERT Quantization. - Bin Li, Mu Hu, Shuling Wang, Lianghao Wang, Xiaojin Gong:
Self-supervised Visual-LiDAR Odometry with Flip Consistency. - Sabah Al-Fedaghi:
Advancing Behavior Engineering: Toward Integrated Events Modeling. - Davide Burba, Trista Chen:
A Trainable Reconciliation Method for Hierarchical Time-Series. - Yichen Yang, Mangpo Phitchaya Phothilimtha, Yisu Remy Wang, Max Willsey, Sudip Roy, Jacques Pienaar:
Equality Saturation for Tensor Graph Superoptimization. - Akshay Agarwal, Shashank Maiya, Sonu Aggarwal:
Evaluating Empathetic Chatbots in Customer Service Settings. - Hoang-Dung Do, Valérie Hayot-Sasson, Rafael Ferreira da Silva, Christopher Steele, Henri Casanova, Tristan Glatard:
Modeling the Linux page cache for accurate simulation of data-intensive applications. - Qiyu Hu, Yanzhen Liu, Yunlong Cai, Guanding Yu, Zhi Ding:
Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO with Lens Arrays. - Mohammed M. Alawad, Shang Gao, Mayanka Chandra Shekar, S. M. Shamimul Hasan, James Blair Christian, Xiao-Cheng Wu, Eric B. Durbin, Jennifer A. Doherty, Antoinette Stroup, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi:
Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping. - Zhaohui Yang, Mingzhe Chen, Kai-Kit Wong, H. Vincent Poor, Shuguang Cui:
Federated Learning for 6G: Applications, Challenges, and Opportunities. - Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Practical Blind Membership Inference Attack via Differential Comparisons. - Fu-Shun Hsu, Chao-Jung Huang, Chen-Yi Kuo, Shang-Ran Huang, Yuan-Ren Cheng, Jia-Horng Wang, Yi-Lin Wu, Tzu-Ling Tzeng, Feipei Lai:
Development of a Respiratory Sound Labeling Software for Training a Deep Learning-Based Respiratory Sound Analysis Model. - Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin, Paul Groth:
Reinforcement Learning based Collective Entity Alignment with Adaptive Features. - Eva Agapaki, Ioannis K. Brilakis:
CLOI: An Automated Benchmark Framework For Generating Geometric Digital Twins Of Industrial Facilities. - Anugunj Naman, Liliana Mancini:
Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion Recognition. - Akanksha Saxena, J. P. Jaiswal:
On the Local convergence of two-step Newton type Method in Banach Spaces under generalized Lipschitz Conditions. - Le Ma, Xiaoyue Wu, Zhiwei Li, Nan Gao, Jie Liu, Lingfang Sun:
High Precision Medicine Bottles Vision Online Inspection System and Classification Based on Multi-Features and Ensemble Learning via Independence Test. - Xiaoou Ding, Hongzhi Wang, Chen Wang, Zijue Li, Zheng Liang:
Exploring Data and Knowledge combined Anomaly Explanation of Multivariate Industrial Data. - Quazi Marufur Rahman, Peter Corke, Feras Dayoub:
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends. - Haiwen Diao, Ying Zhang, Lin Ma, Huchuan Lu:
Similarity Reasoning and Filtration for Image-Text Matching. - Qianqian Wang, Quansheng Guan, Julian Cheng, Fei Ji:
A Splitting-Detection Joint-Decision Receiver for Ultrasonic Intra-Body Communications. - Moein Razavi, Hamed Alikhani, Vahid Janfaza, Benyamin Sadeghi, Ehsan Alikhani:
An Automatic System to Monitor the Physical Distance and Face Mask Wearing of Construction Workers in COVID-19 Pandemic. - Lei Wang, Yang Liu, Ian R. Manchester, Guodong Shi:
Differentially Private Distributed Computation via Public-Private Communication Networks. - Muhammad Usman, Huanhuan Chen:
Recent Trends in Food Intake Monitoring using Wearable Sensors. - Shuyue Guan, Murray H. Loew:
Understanding the Ability of Deep Neural Networks to Count Connected Components in Images. - Hidear Talirongan, Markdy Y. Orong, Florence Jean B. Talirongan:
Alleviating Vulnerabilities of the Possible Outbreaks of Measles: A Data Trend Analysis and Prediction of Possible Cases. - Ruibo Liu, Lili Wang, Chenyan Jia, Soroush Vosoughi:
Political Depolarization of News Articles Using Attribute-aware Word Embeddings. - Florence Jean B. Talirongan, Hidear Talirongan, Markdy Y. Orong:
Modeling National Trends on Health in the Philippines Using ARIMA. - Huanzhang Dou, Wenhu Zhang, Pengyi Zhang, Yuhan Zhao, Songyuan Li, Zequn Qin, Fei Wu, Lin Dong, Xi Li:
VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios. - Mohammad Rasmi Al-Mousa:
Analyzing Cyber-Attack Intention for Digital Forensics Using Case-Based Reasoning. - Pascal Heid, Endre Süli:
On the convergence rate of the Kačanov scheme for shear-thinning fluids. - Khaled E. Al-Qawasmi, Mohammad Rasmi Al-Mousa, Mohammad Yousef:
Proposed E-payment Process Model to Enhance Quality of Service through Maintaining the Trust of Availability. - Qijun Luo, Zhili Liu, Lanqing Hong, Chongxuan Li, Kuo Yang, Liyuan Wang, Fengwei Zhou, Guilin Li, Zhenguo Li, Jun Zhu:
Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation. - Ahmad Nabot, Firas Omar, Mohammed Almousa:
Perceptions of Smartphone Users Acceptance and Adoption of Mobile Commerce (MC) The Case of Jordan. - Changsheng Chen, Shuzheng Zhang, Fengbo Lan:
A Database for Digital Image Forensics of Recaptured Document. - Prabhu Chandhar, Sathish Babu, Tamizh Elakkiya:
Tutorial I: Learning the Principles of Mobile Radio Propagation through Smartphone and CRFO. - Diego Olaya, Wouter Verbeke, Jente Van Belle, Marie-Anne Guerry:
To do or not to do: cost-sensitive causal decision-making. - Arnaud Casteigts, Yves Métivier, John Michael Robson:
Revisiting the Role of Coverings in Anonymous Networks: Spanning Tree Construction and Topology Recognition. - Ihsen Alouani, Anouar Ben Khalifa, Farhad Merchant, Rainer Leupers:
An Investigation on Inherent Robustness of Posit Data Representation. - Lili Zhu, Petros Spachos:
Support Vector Machine and YOLO for a Mobile Food Grading System. - Valdemar Svábenský, Pavel Celeda, Jan Vykopal, Silvia Brisáková:
Cybersecurity Knowledge and Skills Taught in Capture the Flag Challenges. - Moritz Weber, Marian Turowski, Hüseyin Kemâl Çakmak, Ralf Mikut, Uwe G. Kühnapfel, Veit Hagenmeyer:
Data-Driven Copy-Paste Imputation for Energy Time Series. - Giorgio Valentini, Elena Casiraghi, Luca Cappelletti, Vida Ravanmehr, Tommaso Fontana, Justin T. Reese, Peter N. Robinson:
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding. - Jevgenija Pantiuchina, Fiorella Zampetti, Simone Scalabrino, Valentina Piantadosi, Rocco Oliveto, Gabriele Bavota, Massimiliano Di Penta:
Why Developers Refactor Source Code: A Mining-based Study. - Jiamou Sun, Zhenchang Xing, Hao Guo, Deheng Ye, Xiaohong Li, Xiwei Xu, Liming Zhu:
Generating Informative CVE Description From ExploitDB Posts by Extractive Summarization. - Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin:
Temporal Meta-path Guided Explainable Recommendation. - Yue Yu, Huaiqian You, Nathaniel Trask:
An asymptotically compatible treatment of traction loading in linearly elastic peridynamic fracture. - Nimrod Talmon, Rutvik Page:
Proportionality in Committee Selection with Negative Feelings. - Hyeongmin Cho, Sangkyun Lee:
Data Quality Measures and Efficient Evaluation Algorithms for Large-Scale High-Dimensional Data. - Henry Krumb, Dhritimaan Das, Romol Chadda, Anirban Mukhopadhyay:
CycleGAN for Interpretable Online EMT Compensation. - Christof A. Bertram, Taryn A. Donovan, Marco Tecilla, Florian Bartenschlager, Marco Fragoso, Frauke Wilm, Christian Marzahl, Katharina Breininger, Andreas Maier, Robert Klopfleisch, Marc Aubreville:
Dataset on Bi- and Multi-Nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors. - Hung-Ting Su, Chen-Hsi Chang, Po-Wei Shen, Yu-Siang Wang, Ya-Liang Chang, Yu-Cheng Chang, Pu-Jen Cheng, Winston H. Hsu:
End-to-End Video Question-Answer Generation with Generator-Pretester Network. - Sen Zhang, Weiwei Ni, Nan Fu:
Community Preserved Social Graph Publishing with Node Differential Privacy. - Bojia Zi, Minghao Chang, Jingjing Chen, Xingjun Ma, Yu-Gang Jiang:
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection. - Jinlai Zhang, Lyujie Chen, Bo Ouyang, Binbin Liu, Jihong Zhu, Yujing Chen, Yanmei Meng, Danfeng Wu:
PointCutMix: Regularization Strategy for Point Cloud Classification. - Kenya Tajima, Takahiko Henmi, Kohei Tsuchida, Esmeraldo Ronnie Rey Zara, Tsuyoshi Kato:
Learning Sign-Constrained Support Vector Machines. - Linh The Nguyen, Dat Quoc Nguyen:
PhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsing. - Qiaosi Yi, Yunxing Liu, Aiwen Jiang, Juncheng Li, Kangfu Mei, Mingwen Wang:
Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background. - Yann Lifchitz, Yannis Avrithis, Sylvaine Picard:
Local Propagation for Few-Shot Learning. - Tantan Zhao, Lijun He, Xinyu Huang, Fan Li:
QoE-driven Secure Video Transmission in Cloud-edge Collaborative Networks. - Terese Besker, Antonio Martini, Jan Bosch:
The use of incentives to promote Technical Debt management. - Hugo Ruiz, Mehdi Yedroudj, Marc Chaumont, Frédéric Comby, Gérard Subsol:
LSSD: a Controlled Large JPEG Image Database for Deep-Learning-based Steganalysis "into the Wild". - Maoyuan Xu, Xiaoping Xie:
An efficient feature-preserving PDE algorithm for image denoising based on a spatial-fractional anisotropic diffusion equation. - Ichiro Hasuo, Yuichiro Oyabu, Clovis Eberhart, Kohei Suenaga, Kenta Cho, Shin-ya Katsumata:
Control-Data Separation and Logical Condition Propagation for Efficient Inference on Probabilistic Programs. - Hai Lan, Zhifeng Bao, Yuwei Peng:
A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration. - Vineeth Venugopal, Sourav Sahoo, Mohd Zaki, Manish Agarwal, Nitya Nand Gosvami, N. M. Anoop Krishnan:
Looking Through Glass: Knowledge Discovery from Materials Science Literature using Natural Language Processing. - David Steurer, Stefan Tiegel:
SoS Degree Reduction with Applications to Clustering and Robust Moment Estimation. - Peiyun Wu, Yunjie Wu, Linjuan Wu, Xiaowang Zhang, Zhiyong Feng:
Modeling Global Semantics for Question Answering over Knowledge Bases. - Jingkun Chen, Wenqi Li, Hongwei Li, Jianguo Zhang:
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation. - Timofei Istomin, Elia Leoni, Davide Molteni, Amy L. Murphy, Gian Pietro Picco, Maurizio Griva:
Janus: Efficient and Accurate Dual-radio Social Contact Detection. - Daniel Etiemble:
Best CNTFET Ternary Adders? - Dali Ismail, Abusayeed Saifullah:
Handling Mobility in Low-Power Wide-Area Network. - Dakuo Wang, Liuping Wang, Zhan Zhang, Ding Wang, Haiyi Zhu, Yvonne Gao, Xiangmin Fan, Feng Tian:
"Brilliant AI Doctor" in Rural China: Tensions and Challenges in AI-Powered CDSS Deployment. - Christoph Matthies, Franziska Dobrigkeit:
Experience vs Data: A Case for More Data-informed Retrospective Activities. - John K. Tsotsos, Omar Abid, Iuliia Kotseruba, Markus D. Solbach:
On the Control of Attentional Processes in Vision. - Arsenia Chorti, André Noll Barreto, Stefan Köpsell, Marco Zoli, Marwa Chafii, Philippe Sehier, Gerhard P. Fettweis, H. Vincent Poor:
Context-Aware Security for 6G Wireless The Role of Physical Layer Security. - Rachel Sterneck, Abhishek Moitra, Priyadarshini Panda:
Noise Sensitivity-Based Energy Efficient and Robust Adversary Detection in Neural Networks. - Mirko Trisolini, Hugh G. Lewis, Camilla Colombo:
Constrained optimisation of preliminary spacecraft configurations under the design-for-demise paradigm. - César Quilodrán Casas, Rossella Arcucci, Christopher C. Pain, Yike Guo:
Adversarially trained LSTMs on reduced order models of urban air pollution simulations. - Eduardo Sany Laber, Lucas Murtinho:
On the price of explainability for some clustering problems. - Liuping Wang, Dakuo Wang, Feng Tian, Zhenhui Peng, Xiangmin Fan, Zhan Zhang, Shuai Ma, Mo Yu, Xiaojuan Ma, Hongan Wang:
CASS: Towards Building a Social-Support Chatbot for Online Health Community. - Bomin Mao, Fengxiao Tang, Yuichi Kawamoto, Nei Kato:
AI based Service Management for 6G Green Communications. - Dídac Surís, Ruoshi Liu, Carl Vondrick:
Learning the Predictability of the Future. - Bin Xu, Yuhua Xu, Xiaoli Yang, Wei Jia, Yulan Guo:
Bilateral Grid Learning for Stereo Matching Network. - Wentao Yuan, Zhaoyang Lv, Tanner Schmidt, Steven Lovegrove:
STaR: Self-supervised Tracking and Reconstruction of Rigid Objects in Motion with Neural Rendering. - Mengmi Zhang, Will Xiao, Olivia Rose, Katarina Bendtz, Margaret S. Livingstone, Carlos R. Ponce, Gabriel Kreiman:
Look Twice: A Computational Model of Return Fixations across Tasks and Species. - John Zweck, Yanping Chen, Matthew J. Goeckner, Yannan Shen:
Spectral computation of low probability tails for the homogeneous Boltzmann equation. - Robin Winter, Frank Noé, Djork-Arné Clevert:
Auto-Encoding Molecular Conformations. - Yuxin Hou, Arno Solin, Juho Kannala:
Novel View Synthesis via Depth-guided Skip Connections. - Devleena Das, Siddhartha Banerjee, Sonia Chernova:
Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery. - David Noever, Josh Kalin, Matthew Ciolino, Dom Hambrick, Gerry V. Dozier:
Local Translation Services for Neglected Languages. - Pierre Perrault, Jennifer Healey, Zheng Wen, Michal Valko:
On the Approximation Relationship between Optimizing Ratio of Submodular (RS) and Difference of Submodular (DS) Functions. - Sonam Lama, John Zweck, Matthew Goeckner:
A higher order moment preserving reduction scheme for the Stochastic Weighted Particle Method. - Lorenzo De Mattei, Michele Cafagna, Huiyuan Lai, Felice Dell'Orletta, Malvina Nissim, Albert Gatt:
On the interaction of automatic evaluation and task framing in headline style transfer. - Chao Zhang, Joaquin Vanschoren, Arlette van Wissen, Daniël Lakens, Boris E. R. de Ruyter, Wijnand A. IJsselsteijn:
Theory-based Habit Modeling for Enhancing Behavior Prediction. - Hashim A. Hashim, Abdelrahman E. E. Eltoukhy:
Nonlinear Filter for Simultaneous Localization and Mapping on a Matrix Lie Group using IMU and Feature Measurements. - Grzegorz Pochwatko, Barbara Karpowicz, Anna Chrzanowska, Wieslaw Kopec:
Interpersonal distance in VR: reactions of older adults to the presence of a virtual agent. - Guanpeng Xu, Steven G. Johnson:
Modified discrete Laguerre polynomials for efficient computation of exponentially bounded Matsubara sums. - Stefan Stevsic, Otmar Hilliges:
Spatial Attention Improves Iterative 6D Object Pose Estimation. - Reem Abdel-Salam, Rana Mostafa, Mayada Hadhood:
Human Activity Recognition using Wearable Sensors: Review, Challenges, Evaluation Benchmark. - Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Philip S. Yu, Weixiong Zhang:
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. - Daniel Lopresti, Shashi Shekhar:
A National Research Agenda for Intelligent Infrastructure: 2021 Update. - Avijit Ghosh, Lea Genuit, Mary Reagan:
Characterizing Intersectional Group Fairness with Worst-Case Comparisons. - Marlo Souza, Álvaro F. Moreira, Renata Vieira:
Dynamic Preference Logic meets Iterated Belief Change: Representation Results and Postulates Characterization. - Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach:
Monocular Depth Estimation for Soft Visuotactile Sensors. - Hiroyasu Inoue, Yohsuke Murase, Yasuyuki Todo:
Lockdowns need geographic coordination because of propagation of economic effects through supply chains. - Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu:
Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing. - Shu-Feng Tsao, Helen H. Chen, Therese Tisseverasinghe, Yang Yang, Lianghua Li, Zahid A. Butt:
What social media told about us in the time of COVID-19: a scoping review. - Hongda Shen, Eren Kursun:
Label Augmentation via Time-based Knowledge Distillation for Financial Anomaly Detection. - Manuel Morales, Rachel Barbar, Darshan Gandhi, Sanskruti Landage, Joseph Bae, Arpita Vats, Jil Kothari, Sheshank Shankar, Rohan Sukumaran, Himi Mathur, Krutika Misra, Aishwarya Saxena, Parth Patwa, Sethuraman T. V., Maurizio Arseni, Shailesh Advani, Kasia Jakimowicz, Sunaina Anand, Priyanshi Katiyar, Ashley Mehra, Rohan Iyer, Srinidhi Murali, Aryan Mahindra, Mikhail Dmitrienko, Saurish Srivastava, Ananya Gangavarapu, Steve Penrod, Vivek Sharma, Abhishek Singh, Ramesh Raskar:
COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings. - Devendra Swami, Yash Phogat, Aadiraj Batlaw, Ashwin Goyal:
Analyzing movies to predict their commercial viability for producers. - Jianfeng Lu, Yulong Lu, Min Wang:
A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Equations. - Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Accurate Dense Correspondences and When to Trust Them. - Naoto Inoue, Toshihiko Yamasaki:
Learning from Synthetic Shadows for Shadow Detection and Removal. - Matthieu Paul, Martin Danelljan, Luc Van Gool, Radu Timofte:
Local Memory Attention for Fast Video Semantic Segmentation. - Solomiia Fedushko, Yuriy Syerov, Oleksandr Skybinskyi, Nataliya Shakhovska, Zoryana Kunch:
Efficiency of Using Utility for Usernames Verification in Online Community Management. - Jim Apple:
Split block Bloom filters. - Varun Gupta, Christopher Jung, Georgy Noarov, Mallesh M. Pai, Aaron Roth:
Online Multivalid Learning: Means, Moments, and Prediction Intervals. - Tom Hogervorst, Tong Dong Qiu, Giacomo Marchiori, Alf Birger Rustad, Markus Blatt, Razvan Nane:
Hardware Acceleration of HPC Computational Flow Dynamics using HBM-enabled FPGAs. - Febin P. Sunny, Ebadollah Taheri, Mahdi Nikdast, Sudeep Pasricha:
A Survey on Silicon Photonics for Deep Learning. - Hieu Pham, Quoc V. Le:
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks. - Zan Xu, Léopold Cambier, Juan J. Alonso, Eric Darve:
Towards a Scalable Hierarchical High-order CFD Solver. - Cemre Zor, Terry Windeatt:
A unifying approach on bias and variance analysis for classification. - Zhibo Meng, Hongwei Zhang:
Multi-Cell, Multi-Channel URLLC with Probabilistic Per-Packet Real-Time Guarantee. - Mani Razi, Robert M. Kirby, Akil Narayan:
Kernel optimization for Low-Rank Multi-Fidelity Algorithms. - Efstratios Geronikolakis, George Papagiannakis:
An XR rapid prototyping framework for interoperability across the reality spectrum. - Andreas Brandstädt, Raffaele Mosca:
Finding Efficient Domination for P8-Free Bipartite Graphs in Polynomial Time. - Kaushik Balakrishnan, Punarjay Chakravarty, Shubham Shrivastava:
An A* Curriculum Approach to Reinforcement Learning for RGBD Indoor Robot Navigation. - Yu Chen, Ananya Subburathinam, Ching-Hua Chen, Mohammed J. Zaki:
Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph. - Ben S. Southworth, Oliver A. Krzysik, Will Pazner:
Fast parallel solution of fully implicit Runge-Kutta and discontinuous Galerkin in time for numerical PDEs, Part II: nonlinearities and DAEs. - Muhammad Abdul-Mageed, AbdelRahim A. Elmadany, El Moatez Billah Nagoudi:
ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic. - Nishanth Nakshatri, Arjun Manoj Menon, C. Lee Giles, Sarah Michele Rajtmajer, Christopher Griffin:
Design and Analysis of a Synthetic Prediction Market using Dynamic Convex Sets. - Pamela Bilo Thomas, Daniel Riehm, Maria Glenski, Tim Weninger:
Behavior Change in Response to Subreddit Bans and External Events. - Sehun Chun:
Geometry-aligned moving frames by removing spurious divergence in curvilinear mesh with geometric approximation error. - Nils Lange, Geralf Hütter, Björn Kiefer:
An efficient monolithic solution scheme for FE2 problems. - Malte Krack, Lars Panning-von Scheidt, Jörg Wallaschek:
A method for nonlinear modal analysis and synthesis: Application to harmonically forced and self-excited mechanical systems. - Malte Krack, Lars Panning-von Scheidt, Jörg Wallaschek:
A High-Order Harmonic Balance Method for Systems With Distinct States. - Michael Everett, Golnaz Habibi, Jonathan P. How:
Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers. - Jens Witkowski, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock, Andreas Krause:
Incentive-Compatible Forecasting Competitions. - Yanwen Mao, Aritra Mitra, Shreyas Sundaram, Paulo Tabuada:
On the Computational Complexity of the Secure State-Reconstruction Problem. - Arash Asgharivaskasi, Nikolay Atanasov:
Active Bayesian Multi-class Mapping from Range and Semantic Segmentation Observation. - M. Ali Vosoughi, Axel Wismüller:
Large-Scale Extended Granger Causality for Classification of Marijuana Users From Functional MRI. - Blanca Vázquez, Gibran Fuentes, Fabian Garcia, Gabriela Borrayo, Juan Prohias:
Risk markers by sex and age group for in-hospital mortality in patients with STEMI or NSTEMI: an approach based on machine learning. - Yingfu Xu, Guido C. H. E. de Croon:
CNN-based Visual Ego-Motion Estimation for Fast MAV Maneuvers. - Graham Campbell, Detlef Plump:
Confluence up to Garbage in Graph Transformation. - Zhenyi Liu, Joyce E. Farrell, Brian A. Wandell:
ISETAuto: Detecting vehicles with depth and radiance information. - Qiaojun Feng, Nikolay Atanasov:
Mesh Reconstruction from Aerial Images for Outdoor Terrain Mapping Using Joint 2D-3D Learning. - Tarun S. Cousik, Vijay K. Shah, Tugba Erpek, Yalin E. Sagduyu, Jeffrey H. Reed:
Deep Learning for Fast and Reliable Initial Access in AI-Driven 6G mmWave Networks. - Hao Yuan, Shuiwang Ji:
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks. - Mohamed Esmail Karar, Faris Alotaibi, Abdullah Al-Rasheed, Omar Reyad:
A Pilot Study of Smart Agricultural Irrigation using Unmanned Aerial Vehicles and IoT-Based Cloud System. - Xikui Wang, Michael J. Carey, Vassilis J. Tsotras:
Bridging BAD Islands: Declarative Data Sharing at Scale. - Xuankai Chang, Naoyuki Kanda, Yashesh Gaur, Xiaofei Wang, Zhong Meng, Takuya Yoshioka:
Hypothesis Stitcher for End-to-End Speaker-attributed ASR on Long-form Multi-talker Recordings. - Awais Tanveer, Roopak Sinha, Stephen G. MacDonell, Paulo Leitão, Valeriy Vyatkin:
Designing Actively Secure, Highly Available Industrial Automation Applications. - Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin:
Reinforcement Learning with Latent Flow. - Weidong Mei, Rui Zhang:
Aerial-Ground Interference Mitigation for Cellular-Connected UAV. - Aaquib Tabrez, Ryan Leonard, Bradley Hayes:
One-shot Policy Elicitation via Semantic Reward Manipulation. - Jie Zhang:
TGCN: Time Domain Graph Convolutional Network for Multiple Objects Tracking. - Chunheng Jiang, Jae-wook Ahn, Nirmit Desai:
Environment Transfer for Distributed Systems. - Neha R. Gupta, Vittorio Orlandi, Chia-Rui Chang, Tianyu Wang, Marco Morucci, Pritam Dey, Thomas J. Howell, Xian Sun, Angikar Ghosal, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky:
dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference. - Hee-Seung Moon, Jiwon Seo:
Optimal Action-based or User Prediction-based Haptic Guidance: Can You Do Even Better? - Wenxue Cui, Shaohui Liu, Feng Jiang, Yongliang Liu, Debin Zhao:
Multi-Stage Residual Hiding for Image-into-Audio Steganography. - Mina Mohammadi Dashti, Majid Harouni:
Smile and Laugh Expressions Detection Based on Local Minimum Key Points. - Kuai Fang, Daniel Kifer, Kathryn Lawson, Dapeng Feng, Chaopeng Shen:
The data synergy effects of time-series deep learning models in hydrology. - Tryambak Gangopadhyay, Vikram Ramanan, Adedotun Akintayo, Paige K. Boor, Soumalya Sarkar, Satyanarayanan R. Chakravarthy, Soumik Sarkar:
3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems. - Sugam Garg, Harichandana, Sumit Kumar:
On-Device Document Classification using multimodal features. - Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz:
Modality-specific Distillation. - Takahisa Imagawa, Takuya Hiraoka, Yoshimasa Tsuruoka:
Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces. - Peter M. Attia, Kristen A. Severson, Jeremy D. Witmer:
Statistical learning for accurate and interpretable battery lifetime prediction. - Wanyu Ma, Jihong Zhu, David Navarro-Alarcon:
Shape Control of Elastic Objects Based on Implicit Sensorimotor Models and Data-Driven Geometric Features. - Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li:
Taxonomy Completion via Triplet Matching Network. - Addanki Prathima, Devendra Singh Gurjar, Ha H. Nguyen, Ajay Bhardwaj:
Performance Analysis and Optimization of Bidirectional Overlay Cognitive Radio Networks with Hybrid-SWIPT. - Mingxi Wu, Xi Chen:
Connecting The Dots To Combat Collective Fraud. - Vidit Jain, Maitree Leekha, Rajiv Ratn Shah, Jainendra Shukla:
Exploring Semi-Supervised Learning for Predicting Listener Backchannels. - Christodoulos Pappas, Dimitris Chatzopoulos, Spyros Lalis, Manolis Vavalis:
IPLS : A Framework for Decentralized Federated Learning. - Chandan K. A. Reddy, Harishchandra Dubey, Kazuhito Koishida, Arun Asokan Nair, Vishak Gopal, Ross Cutler, Sebastian Braun, Hannes Gamper, Robert Aichner, Sriram Srinivasan:
Interspeech 2021 Deep Noise Suppression Challenge. - Manish Mandloi, Devendra Singh Gurjar:
Low-Complexity Interference Cancellation Algorithms for Detection in Media-based Modulated Uplink Massive-MIMO Systems. - Hailin Wang, Ke Qin, Rufai Yusuf Zakari, Guisong Liu, Guoming Lu:
Deep Neural Network Based Relation Extraction: An Overview. - Yifan Xu, Weijian Xu, David Cheung, Zhuowen Tu:
Line Segment Detection Using Transformers without Edges. - Xiaopeng Lu, Kyusong Lee, Tiancheng Zhao:
SF-QA: Simple and Fair Evaluation Library for Open-domain Question Answering. - Tai D. Nguyen, Long H. Pham, Jun Sun:
sGUARD: Towards Fixing Vulnerable Smart Contracts Automatically. - Oussama Dhifallah, Yue M. Lu:
Phase Transitions in Transfer Learning for High-Dimensional Perceptrons. - Christina Katsamaki, Fabrice Rouillier, Elias P. Tsigaridas:
PTOPO: Computing the Geometry and the Topology of Parametric Curves. - Tongtong Wu, Xuekai Li, Yuan-Fang Li, Reza Haffari, Guilin Qi, Yujin Zhu, Guoqiang Xu:
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction. - Khouloud Gaaloul, Claudio Menghi, Shiva Nejati, Lionel C. Briand, Yago Isasi Parache:
Combining Genetic Programming and Model Checking to Generate Environment Assumptions. - Uwe Wolter:
Logics of First-Order Constraints - A Category Independent Approach. - Katrin Casel, Markus L. Schmid:
Fine-Grained Complexity of Regular Path Queries. - Iraklis Symeonidis, Dragos Rotaru, Mustafa A. Mustafa, Bart Mennink, Panos Papadimitratos:
HERMES: Scalable, Secure, and Privacy-Enhancing Vehicle Access System. - Filip Lemic, Sergi Abadal, Eduard Alarcón, Jeroen Famaey:
Toward Location-aware In-body Terahertz Nanonetworks with Energy Harvesting. - Alexis de Colnet:
A Lower Bound on DNNF Encodings of Pseudo-Boolean Constraints. - David F. Nettleton, Sergio Nettleton, Marc Canal i Farriol:
MEDICI: A simple to use synthetic social network data generator. - Daxin Nie, Weihua Deng:
Numerical analysis for stochastic time-space fractional diffusion equation driven by fractional Gaussion noise. - Francisco Martín, Matteo Morelli, Huáscar Espinoza, Francisco J. Rodríguez-Lera, Vicente Matellán:
Optimized Execution of PDDL Plans using Behavior Trees. - Denis Kuperberg:
Positive first-order logic on words. - Xiaobo Liu, Su Yang:
Weighted Ensemble-model and Network Analysis: A method to predict fluid intelligence via naturalistic functional connectivity. - Suwei Yang, Massimo Lupascu, Kuldeep S. Meel:
Predicting Forest Fire Using Remote Sensing Data And Machine Learning. - Pierre-Amaury Grumiaux, Srdan Kitic, Laurent Girin, Alexandre Guérin:
Multichannel CRNN for Speaker Counting: an Analysis of Performance. - Aditya Rathi, Rohith G., Madhu Vadali:
Dynamic Prioritization for Conflict-Free Path Planning of Multi-Robot Systems. - Fan Wang, Lei Luo, En Zhu, Siwei Wang, Jun Long:
Multi-object Tracking with a Hierarchical Single-branch Network. - Jinle Zhu, Qiang Li, Hongyang Chen, H. Vincent Poor:
Statistical CSI Based Hybrid mmWave MIMO-NOMA with Max-Min Fairness. - Zeyu Zhu, Huijing Zhao:
A Survey of Deep RL and IL for Autonomous Driving Policy Learning. - Francesco Malandrino, Carla-Fabiana Chiasserini:
Federated Learning at the Network Edge: When Not All Nodes are Created Equal. - Marc Heinrich, Haiko Müller:
Counting independent sets in strongly orderable graphs. - Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong:
Can Transfer Neuroevolution Tractably Solve Your Differential Equations? - Jialiang Zhang, Lixiang Lin, Jianke Zhu, Steven C. H. Hoi:
Weakly-Supervised Multi-Face 3D Reconstruction. - Joshua Lau, Angus Ritossa:
Algorithms and Hardness for Multidimensional Range Updates and Queries. - Abdallah Moubayed, MohammadNoor Injadat, Abdallah Shami, Hanan Lutfiyya:
Relationship between Student Engagement and Performance in e-Learning Environment Using Association Rules. - Mark Findlay, Josephine Seah:
An Ecosystem Approach to Ethical AI and Data Use: Experimental Reflections. - Muhammad Khairul Ezad Bin Sulaiman:
Teaching Creativity Using a Realistic Multi-User Operation: Packet Tracer. - Charles C. Earl:
Towards an Abolitionist AI: the role of Historically Black Colleges and Universities. - Raffaele Zenti:
Using Data Science to monitor the pandemic with a single number: the Synthetic COVID Index. - Mihir Parmar, Ashwin Karthik Ambalavanan, Hong Guan, Rishab Banerjee, Jitesh Pabla, Murthy V. Devarakonda:
COVID-19: Comparative Analysis of Methods for Identifying Articles Related to Therapeutics and Vaccines without Using Labeled Data. - Martin Reber:
Abusive Advertising: Scrutinizing socially relevant algorithms in a black box analysis to examine their impact on vulnerable patient groups in the health sector. - Abel Cabrera Martínez, Carlos García Gómez, Juan Alberto Rodríguez-Velázquez:
Perfect domination, Roman domination and perfect Roman domination in lexicographic product graphs. - Monica-Paula Marin, Iuliana Marin, Livia Vidu:
Learning about the reduction of food waste using Blockchain technology. - Ye Tian:
A Multilayer Correlated Topic Model. - Mohammad Meraj, Surendra Pal Singh, Prashant Johri, Mohammad Tabrez Quasim:
Detection and Prediction of Infectious Diseases Using IoT Sensors: A Review. - Sunder Ali Khowaja, Parus Khuwaja, Kapal Dev:
Internet of Everything enabled solution for COVID-19, its new variants and future pandemics: Framework, Challenges, and Research Directions. - Lu Cheng, Kush R. Varshney, Huan Liu:
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges. - Malik Abdul Aziz, Fahmi Nurrahim, Prastyo Eko Susanto, Yurio Windiatmoko:
Boarding House Renting Price Prediction Using Deep Neural Network Regression on Mobile Apps. - Qing Wei, Hailan Ma, Chunlin Chen, Daoyi Dong:
Deep Reinforcement Learning with Quantum-inspired Experience Replay. - Charlotte Stix:
A survey of the European Union's artificial intelligence ecosystem. - Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Wayne Xin Zhao, Ji-Rong Wen:
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation. - Mohammad Mahmudul Alam, Mohammad Tariqul Islam, S. M. Mahbubur Rahman:
A Unified Learning Approach for Hand Gesture Recognition and Fingertip Detection. - Yudhik Agrawal, Ramaguru Guru Ravi Shanker, Vinoo Alluri:
Transformer-based approach towards music emotion recognition from lyrics. - Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Alaa Saade, Shantanu Thakoor, Bilal Piot, Bernardo Ávila Pires, Michal Valko, Thomas Mesnard, Tor Lattimore, Rémi Munos:
Geometric Entropic Exploration. - Hailong Hu, Jun Pang:
Model Extraction and Defenses on Generative Adversarial Networks. - Ankita Naik, Apurva Swarnakar, Kartik Mittal:
Shallow-UWnet : Compressed Model for Underwater Image Enhancement. - Tobias Kronauer, Joshwa Pohlmann, Maximilian Matthé, Till Smejkal, Gerhard P. Fettweis:
Latency Overhead of ROS2 for Modular Time-Critical Systems. - Yao Rong, Chao Han, Christian Hellert, Antje Loyal, Enkelejda Kasneci:
Artificial Intelligence Methods in In-Cabin Use Cases: A Survey. - Hiroaki Sasaki, Takashi Takenouchi:
A unified view for unsupervised representation learning with density ratio estimation: Maximization of mutual information, nonlinear ICA and nonlinear subspace estimation. - Silvia Chiappa, Aldo Pacchiano:
Fairness with Continuous Optimal Transport. - Tiago Espinha Gasiba, Ulrike Lechner, Maria Pinto-Albuquerque, Daniel Méndez Fernández:
Awareness of Secure Coding Guidelines in the Industry - A first data analysis. - Filippo Brunelli, Pierluigi Crescenzi, Laurent Viennot:
On Computing Pareto Optimal Paths in Weighted Time-Dependent Networks. - Do Viet Ha, Tien Hoa Nguyen, Van Duc Nguyen:
Impact of Inter-Channel Interference on Shallow Underwater Acoustic OFDM Systems. - Furkan Yesiler, Emilio Molina, Joan Serrà, Emilia Gómez:
Investigating the efficacy of music version retrieval systems for setlist identification. - Lucas Brynte, Viktor Larsson, José Pedro Iglesias, Carl Olsson, Fredrik Kahl:
On the Tightness of Semidefinite Relaxations for Rotation Estimation. - Tiago Espinha Gasiba, Kristian Beckers, Santiago Suppan, Filip Rezabek:
On the Requirements for Serious Games geared towards Software Developers in the Industry. - Daniel Schneider, Daniel Fraunholz, Daniel Krohmer:
A Qualitative Empirical Analysis of Human Post-Exploitation Behavior. - Anton Plietzsch, Raphael Kogler, Sabine Auer, Julia Merino, Asier Gil-de-Muro, Jan Liße, Christina Vogel, Frank Hellmann:
PowerDynamics.jl - An experimentally validated open-source package for the dynamical analysis of power grids. - James Barela, Tiago Espinha Gasiba, Santiago Reinhard Suppan, Marc Berges, Kristian Beckers:
When Interactive Graphic Storytelling Fails. - Tiago Espinha Gasiba, Ulrike Lechner, Maria Pinto-Albuquerque, Alae Zouitni:
Design of Secure Coding Challenges for Cybersecurity Education in the Industry. - Francesca Tang, Yang Feng, Hamza Chiheb, Jianqing Fan:
The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of U.S. COVID-19 Cases. - Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier, Iacopo Poli, Florent Krzakala:
Adversarial Robustness by Design through Analog Computing and Synthetic Gradients. - Shereen Elsayed, Daniela Thyssens, Ahmed Rashed, Lars Schmidt-Thieme, Hadi Samer Jomaa:
Do We Really Need Deep Learning Models for Time Series Forecasting? - Éric Piette, Cameron Browne, Dennis J. N. J. Soemers:
Ludii Game Logic Guide. - Julian Mack, Rossella Arcucci, Miguel Molina-Solana, Yi-Ke Guo:
Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation. - Shohrukh Bekmirzaev, Seoyoung Oh, Sangwook Yoo:
RethNet: Object-by-Object Learning for Detecting Facial Skin Problems. - Manuel J. Marín-Jiménez, Vicky Kalogeiton, Pablo Medina-Suarez, Andrew Zisserman:
LAEO-Net++: revisiting people Looking At Each Other in videos. - Nithia Vijayan, Prashanth L. A.:
Smoothed functional-based gradient algorithms for off-policy reinforcement learning. - Tasfia Shermin, Shyh Wei Teng, Ferdous Sohel, M. Manzur Murshed, Guojun Lu:
An Integrated Attribute Guided Dense Attention Model for Fine-Grained Generalized Zero-Shot Learning. - Pascal Giorgi, Bruno Grenet, Armelle Perret du Cray:
Polynomial modular product verification and its implications. - Xiangyu Li, Yonghong Hou, Pichao Wang, Zhimin Gao, Mingliang Xu, Wanqing Li:
Transformer Guided Geometry Model for Flow-Based Unsupervised Visual Odometry. - Yizi Chen, Edwin Carlinet, Joseph Chazalon, Clément Mallet, Bertrand Duménieu, Julien Perret:
Combining Deep Learning and Mathematical Morphology for Historical Map Segmentation. - Syed Ghazanfar Abbas, Shahzaib Zahid, Faisal Bashir Hussain, Ghalib A. Shah, Muhammad Husnain:
A Threat Modelling Approach to Analyze and Mitigate Botnet Attacks in Smart Home Use Case. - Linh Tran, Maja Pantic, Marc Peter Deisenroth:
Cauchy-Schwarz Regularized Autoencoder. - Benedek Rozemberczki, Rik Sarkar:
The Shapley Value of Classifiers in Ensemble Games. - Jeffrey Galkowski, David Lafontaine, Euan A. Spence:
Local absorbing boundary conditions on fixed domains give order-one errors for high-frequency waves. - Sofian Chaybouti, Achraf Saghe, Aymen Shabou:
EfficientQA : a RoBERTa Based Phrase-Indexed Question-Answering System. - Kenneth L. Clarkson, Sanjana Sahayaraj:
Order Embeddings from Merged Ontologies using Sketching. - Daniel Kane, Andreas Fackler, Adam Gagol, Damian Straszak:
Highway: Efficient Consensus with Flexible Finality. - Reza Karegar, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Efficient Discovery of Approximate Order Dependencies. - Oscar Lijen Hsu:
Improving Training Result of Partially Observable Markov Decision Process by Filtering Beliefs. - Mark McPherson:
The case for psychometric artificial general intelligence. - David Wu, David R. Palmer, Daryl R. DeFord:
Bayesian Inference of Random Dot Product Graphs via Conic Programming. - Anees Al-Najjar, Nageswara S. V. Rao, Neena Imam, Thomas J. Naughton, Seth Hitefield, Lawrence Sorrillo, James Kohl, Wael R. Elwasif, Jean-Christophe Bilheux, Hassina Z. Bilheux, Swen Boehm, Jason Kincl:
VFSIE - Development and Testing Framework for Federated Science Instruments. - Volkan Ustun, Rajay Kumar, Adam Reilly, Seyed Sajjadi, Andrew Miller:
Adaptive Synthetic Characters for Military Training. - Simon Becker, Jonathan Sewell, Euan Tebbutt:
Computability of magnetic Schrödinger and Hartree equations on unbounded domains. - Cathal Ryan, Christophe Guéret, Donagh Berry, Medb Corcoran, Mark T. Keane, Brian Mac Namee:
Predicting Illness for a Sustainable Dairy Agriculture: Predicting and Explaining the Onset of Mastitis in Dairy Cows. - Abhisesh Silwal, Tanvir Parhar, Francisco Yandún, George Kantor:
A Robust Illumination-Invariant Camera System for Agricultural Applications. - Tianhao Wang, Dongruo Zhou, Quanquan Gu:
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints. - Bin Zhao, Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos. - Xizixiang Wei, Cong Shen:
Federated Learning over Noisy Channels: Convergence Analysis and Design Examples. - Wayan Wicke, Harald Unterweger, Jens Kirchner, Lukas Brand, Arman Ahmadzadeh, Doaa Ahmed, Vahid Jamali, Christoph Alexiou, Georg Fischer, Robert Schober:
Experimental System for Molecular Communication in Pipe Flow With Magnetic Nanoparticles. - Steven H. Vanderleest, Samuel R. Thompson:
Measuring the Impact of Interference Channels on Multicore Avionics. - Xia Cai, Li Xu, C. Devon Lin, Yili Hong, Xinwei Deng:
Sequential Design of Computer Experiments with Quantitative and Qualitative Factors in Applications to HPC Performance Optimization. - Kaige Yang:
Learn Dynamic-Aware State Embedding for Transfer Learning. - Volkan Ustun, Paul S. Rosenbloom, Seyed Sajjadi, Jeremy Nuttal:
Controlling Synthetic Characters in Simulations: A Case for Cognitive Architectures and Sigma. - Prateek Agrawal, Pratik Prabhanjan Brahma:
Single Shot Multitask Pedestrian Detection and Behavior Prediction. - Mor Geva, Daniel Khashabi, Elad Segal, Tushar Khot, Dan Roth, Jonathan Berant:
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies. - Rui Fu, Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou:
Harvesting energy from a periodic heat bath. - Anamaria Crisan, Michael Correll:
User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics. - Michael Bentley, D. Caleb Rucker, Chakravarthy Reddy, Oren Salzman, Alan Kuntz:
A Novel Shaft-to-Tissue Force Model for Safer Motion Planning of Steerable Needles. - Amrita Sawhney, Steven Lee, Kevin Zhang, Manuela Veloso, Oliver Kroemer:
Playing with Food: Learning Food Item Representations through Interactive Exploration. - John Paul Ward, Francis J. Narcowich, Joseph D. Ward:
Locally supported, quasi-interpolatory bases on graphs. - Yair Lakretz, Theo Desbordes, Jean-Rémi King, Benoît Crabbé, Maxime Oquab, Stanislas Dehaene:
Can RNNs learn Recursive Nested Subject-Verb Agreements? - Clemente Rubio-Manzano, Tomás Lermanda, Claudia Martinez-Araneda, N. Alejandra Segura, Christian Vidal-Castro:
Teach me to play, gamer! Imitative learning in computer games via linguistic description of complex phenomena and decision tree. - Debesh Jha, Anis Yazidi, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. - Zhenqi Wang, Sebastian Wende-von Berg, Martin Braun:
Fast Parallel Newton-Raphson Power Flow Solver for Large Number of System Calculations with CPU and GPU. - Sandipan Choudhuri, Riti Paul, Arunabha Sen, Baoxin Li, Hemanth Venkateswara:
Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation. - Wenzheng Li, Jan Vondrák:
Estimating the Nash Social Welfare for coverage and other submodular valuations. - Shamel Fahmi, Geoff Fink, Claudio Semini:
On State Estimation for Legged Locomotion over Soft Terrain. - Thien Duc Nguyen, Phillip Rieger, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Ahmad-Reza Sadeghi, Thomas Schneider, Shaza Zeitouni:
FLGUARD: Secure and Private Federated Learning. - Hoang-Dung Bui, Hung M. La:
Navigation Framework for a Hybrid Steel Bridge Inspection Robot. - Ashwinkumar Badanidiyuru, Andrew Evdokimov, Vinodh Krishnan, Pan Li, Wynn Vonnegut, Jayden Wang:
Handling many conversions per click in modeling delayed feedback. - Kathleen M. Lewis, Srivatsan Varadharajan, Ira Kemelmacher-Shlizerman:
VOGUE: Try-On by StyleGAN Interpolation Optimization. - Hang Song, Kristen V. Matsuno, Jacob R. West, Aditya S. Ghate, Sanjiva K. Lele:
Scalable Parallel Linear Solver for Compact Banded Systems on Heterogeneous Architectures. - Jeroen van Hoof, Joaquin Vanschoren:
Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models. - Konstantinos Oikonomou, Jordan Kern, Brian Tarroja, Nathalie Voisin:
Review of Core Process Representation in Power System Operational Models: Gaps, Challenges, and Opportunities for Multisector Dynamics Research. - Maryam Motamedi, Na Li, Douglas G. Down, Nancy M. Heddle:
Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models. - Baoqian Wang, Junfei Xie, Nikolay Atanasov:
Coding for Distributed Multi-Agent Reinforcement Learning. - Graham Campbell:
Parallel Hyperedge Replacement Grammars. - Adam Karczmarz, Piotr Sankowski:
A Deterministic Parallel APSP Algorithm and its Applications. - Édouard Bonnet:
4 vs 7 sparse undirected unweighted Diameter is SETH-hard at time n4/3. - Yijing Liu, Zeyu Mao, Hanyue Li, Komal S. Shetye, Thomas J. Overbye:
Integration of Renewable Generators in Synthetic Electric Grids for Dynamic Analysis. - Taekyung Ki, Youngmi Hur:
Deep Scattering Network with Max-pooling. - Zheng Liu, Yanlei Li, Weina Wang, Ligang Liu, Renjie Chen:
Mesh Total Generalized Variation for Denoising. - Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R. Roth:
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation. - Pengfei Xia, Ziqiang Li, Hongjing Niu, Bin Li:
Understanding the Error in Evaluating Adversarial Robustness. - Tian Xie, Bin Wang, C.-C. Jay Kuo:
GraphHop: An Enhanced Label Propagation Method for Node Classification. - Bao-Gang Hu, Wei-Ming Dong:
A design of human-like robust AI machines in object identification. - Hanlin Zhang, Peng Gao, Jia Yu, Jie Lin, Neal N. Xiong:
Machine Learning on Cloud with Blockchain: A Secure, Verifiable and Fair Approach to Outsource the Linear Regression. - Yong Fang, Jechang Jeong:
Distributed Arithmetic Coding for Sources with Hidden Markov Correlation. - Dave Epstein, Jiajun Wu, Cordelia Schmid, Chen Sun:
Learning Temporal Dynamics from Cycles in Narrated Video. - Randall Balestriero, Haoran You, Zhihan Lu, Yutong Kou, Yingyan Lin, Richard G. Baraniuk:
Max-Affine Spline Insights Into Deep Network Pruning. - Hanlin Zhang, Le Tong, Jia Yu, Jie Lin:
Blockchain Aided Privacy-Preserving Outsourcing Algorithms of Bilinear Pairings for Internet of Things Devices. - Zhabiz Gharibshah, Xingquan Zhu:
User Response Prediction in Online Advertising. - Yufang Huang, Kelly M. Axsom, John Lee, Lakshminarayanan Subramanian, Yiye Zhang:
DICE: Deep Significance Clustering for Outcome-Aware Stratification. - Claude Gravel:
A generalization of the Von Neumann extractor. - Yang Li, Amirmohammad Kazameini, Yash Mehta, Erik Cambria:
Multitask Learning for Emotion and Personality Detection. - P. Parnika, Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda, Shalabh Bhatnagar:
Attention Actor-Critic algorithm for Multi-Agent Constrained Co-operative Reinforcement Learning. - Ankush Chopra, Shruti Agrawal, Sohom Ghosh:
Applying Transfer Learning for Improving Domain-Specific Search Experience Using Query to Question Similarity. - Yao Chen, Jiangang Liu, Zhe Zhang, Shiping Wen, Wenjun Xiong:
MöbiusE: Knowledge Graph Embedding on Möbius Ring. - Shuwei Shen, Mengjuan Xu, Fan Zhang, Pengfei Shao, Honghong Liu, Liang Xu, Chi Zhang, Peng Liu, Zhihong Zhang, Peng Yao, Ronald X. Xu:
Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification. - Min Cai, Ehsan Kharazmi, Changpin Li, George Em Karniadakis:
Fractional Buffer Layers: Absorbing Boundary Conditions for Wave Propagation. - Sungkwon An, Jeonghoon Kim, Myungjoo Kang, Shahbaz Razaei, Xin Liu:
OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space. - Xiangyang Li, Yu Xia, Xiang Long, Zheng Li, Sujian Li:
Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English. - Touheed Anwar Atif, S. Sandeep Pradhan:
Distributed Quantum Faithful Simulation and Function Computation Using Algebraic Structured Measurements. - Daniel López-Fernández, Jessica Díaz, Javier García Martín, Jorge Pérez, Ángel González-Prieto:
DevOps Team Structures: Characterization and Implications. - Sin Kit Lo, Qinghua Lu, Liming Zhu, Hye-young Paik, Xiwei Xu, Chen Wang:
Architectural Patterns for the Design of Federated Learning Systems. - Le Hui, Mingmei Cheng, Jin Xie, Jian Yang:
Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition. - Nami Ashizawa, Naoto Yanai, Jason Paul Cruz, Shingo Okamura:
Eth2Vec: Learning Contract-Wide Code Representations for Vulnerability Detection on Ethereum Smart Contracts. - Jason Stock, Tom Cavey:
Who's a Good Boy? Reinforcing Canine Behavior in Real-Time using Machine Learning. - Jingyu Gong, Jiachen Xu, Xin Tan, Jie Zhou, Yanyun Qu, Yuan Xie, Lizhuang Ma:
Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds. - Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun:
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting. - Eric Luhman, Troy Luhman:
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed. - Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng:
SDGNN: Learning Node Representation for Signed Directed Networks. - Yu Qiao, Yuhao Liu, Qiang Zhu, Xin Yang, Yuxin Wang, Qiang Zhang, Xiaopeng Wei:
Multi-scale Information Assembly for Image Matting. - Yicheng Guo, Yujin Wen, Congwei Jiang, Yixin Lian, Yi Wan:
Detecting Log Anomalies with Multi-Head Attention (LAMA). - Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Xiaolin Gui:
Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking. - Kaustubh Yadav:
A Comprehensive Study on Optimization Strategies for Gradient Descent In Deep Learning. - Rohan Saha:
Homonym Identification using BERT - Using a Clustering Approach. - Wen-Yi Hsiao, Jen-Yu Liu, Yin-Cheng Yeh, Yi-Hsuan Yang:
Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs. - Surin Ahn, Wei-Ning Chen, Ayfer Özgür:
Adaptive Group Testing on Networks with Community Structure. - Ignacio Rodriguez:
On the Management of Type 1 Diabetes Mellitus with IoT Devices and ML Techniques. - Sheng Yang, Weisi Lin, Guosheng Lin, Qiuping Jiang, Zichuan Liu:
Progressive Self-Guided Loss for Salient Object Detection. - Yichao Zhou, Ying Sheng, Nguyen Vo, Nick Edmonds, Sandeep Tata:
Simplified DOM Trees for Transferable Attribute Extraction from the Web. - Rui Xiao, Kejie Huang, Yewei Zhang, Haibin Shen:
A Low Power In-Memory Multiplication andAccumulation Array with Modified Radix-4 Inputand Canonical Signed Digit Weights. - Ke He, Lisheng Fan, George K. Karagiannidis:
Towards Optimally Efficient Tree Search with Deep Temporal Difference Learning. - Kristiaan Pelckmans, Moustafa Aboushady, Andreas Brosemyr:
Detecting Suspicious Events in Fast Information Flows. - Burak Bartan, Mert Pilanci:
Neural Spectrahedra and Semidefinite Lifts: Global Convex Optimization of Polynomial Activation Neural Networks in Fully Polynomial-Time. - Michael Gundall, Christopher Huber, Sergiy Melnyk:
Integration of IEEE 802.1AS-based Time Synchronization in IEEE 802.11 as an Enabler for Novel Industrial Use Cases. - Michael Gundall, Calvin Glas, Hans D. Schotten:
Feasibility Study on Virtual Process Controllers as Basis for Future Industrial Automation Systems. - Clément Leroy, Éric Anquetil, Nathalie Girard:
Drift anticipation with forgetting to improve evolving fuzzy system. - Buyang Li, Shu Ma, Yuki Ueda:
Analysis of fully discrete finite element methods for 2D Navier-Stokes equations with critical initial data. - Mehmet Özgün Demir, Ozan Alp Topal, Ali Emre Pusane, Guido Dartmann, Gerd Ascheid, Günes Karabulut-Kurt:
An Adaptive Multi-Agent Physical Layer Security Framework for Cognitive Cyber-Physical Systems. - Engkarat Techapanurak, Takayuki Okatani:
Practical Evaluation of Out-of-Distribution Detection Methods for Image Classification. - Jahnvi Patel, Devika Jay, Balaraman Ravindran, K. Shanti Swarup:
Neural Fitted Q Iteration based Optimal Bidding Strategy in Real Time Reactive Power Market_1. - Aite Zhao, Junyu Dong, Jianbo Li, Lin Qi, Huiyu Zhou:
Associated Spatio-Temporal Capsule Network for Gait Recognition. - Ningxin Xu, Cheng Yang, Yixin Zhu, Xiaowei Hu, Changhu Wang:
Incorporating Vision Bias into Click Models for Image-oriented Search Engine. - Gabriel Rodriguez Garcia, Gabriel Michau, Herbert H. Einstein, Olga Fink:
Decision Support System for an Intelligent Operator of Utility Tunnel Boring Machines. - Miika Hannula, Juha Kontinen, Sebastian Link:
On the Interaction of Functional and Inclusion Dependencies with Independence Atoms. - Evgeny Stemasov, Enrico Rukzio, Jan Gugenheimer:
The Road to Ubiquitous Personal Fabrication: Modeling-Free Instead of Increasingly Simple. - Aite Zhao, Jianbo Li, Junyu Dong, Lin Qi, Qianni Zhang, Ning Li, Xin Wang, Huiyu Zhou:
Multimodal Gait Recognition for Neurodegenerative Diseases. - Abdallah Benzine, Florian Chabot, Bertrand Luvison, Quoc Cong Pham, Cahterine Achrd:
PandaNet : Anchor-Based Single-Shot Multi-Person 3D Pose Estimation. - Miika Hannula, Xinyi Li, Sebastian Link:
Controlling Entity Integrity with Key Sets. - Christian Klein, J. Riton, Nikola M. Stoilov:
Multi-domain spectral approach for the Hilbert transform on the real line. - Joseph Singleton, Richard Booth:
Rankings for Bipartite Tournaments via Chain Editing. - Alon Shoshan, Nadav Bhonker, Igor Kviatkovsky, Gérard G. Medioni:
GAN-Control: Explicitly Controllable GANs. - Alex Goupilleau, Tugdual Ceillier, Marie-Caroline Corbineau:
Active learning for object detection in high-resolution satellite images. - Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh:
Robust Text CAPTCHAs Using Adversarial Examples. - Samuele Capobianco, Leonardo Maria Millefiori, Nicola Forti, Paolo Braca, Peter Willett:
Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks. - Francisco Segado-Boj, Juan Martin-Quevedo, Juan José Prieto-Gutierrez:
Attitudes toward Open Access, Open Peer Review, and Altmetrics among Contributors to Spanish Scholarly Journals. - Georg Nawratil:
Snappability and singularity-distance of pin-jointed body-bar frameworks. - Tinghui Ouyang, Vicent Sant Marco, Yoshinao Isobe, Hideki Asoh, Yutaka Oiwa, Yoshiki Seo:
Corner case data description and detection. - Manuel Lagunas, Ana Serrano, Diego Gutierrez, Belén Masiá:
The joint role of geometry and illumination on material recognition. - Engkarat Techapanurak, Anh-Chuong Dang, Takayuki Okatani:
Bridging In- and Out-of-distribution Samples for Their Better Discriminability. - Miika Hannula, Bor-Kuan Song, Sebastian Link:
An Algorithm for the Discovery of Independence from Data. - Joosoon Lee, Seongju Lee, Seunghyeok Back, Sungho Shin, Kyoobin Lee:
Object Detection for Understanding Assembly Instruction Using Context-aware Data Augmentation and Cascade Mask R-CNN. - Tiago P. Peixoto:
Disentangling homophily, community structure and triadic closure in networks. - Song Yan, Joni-Kristian Kämäräinen:
Learning Anthropometry from Rendered Humans. - Paolo Liberatore:
Merging with unknown reliability. - Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, Gabriele Bavota:
Towards Automating Code Review Activities. - Ronie Salgado, Marcus Denker, Stéphane Ducasse, Anne Etien, Vincent Aranega:
Towards a Smart Data Processing and Storage Model. - Mateusz Ochal, Massimiliano Patacchiola, Amos J. Storkey, Jose Vazquez, Sen Wang:
Few-Shot Learning with Class Imbalance. - Ustim Khristenko, Stefan Schuß, Melanie Krüger, Felix Schmidt, Barbara I. Wohlmuth, Christian Hesch:
Multidimensional coupling: A variationally consistent approach to fiber-reinforced materials. - Xavier Antoine, Xiaofei Zhao:
Pseudospectral methods with PML for nonlinear Klein-Gordon equations in classical and non-relativistic regimes. - Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen:
MSED: a multi-modal sleep event detection model for clinical sleep analysis. - Roei Sarussi, Alon Brutzkus, Amir Globerson:
Towards Understanding Learning in Neural Networks with Linear Teachers. - Moeen Ali Naqvi, Merve Astekin, Sehrish Malik, Leon Moonen:
Adaptive Immunity for Software: Towards Autonomous Self-healing Systems. - Xue Jiang:
MRNet: a Multi-scale Residual Network for EEG-based Sleep Staging. - Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, Kuruge Darshana Abeyrathna:
On the Convergence of Tsetlin Machines for the XOR Operator. - Sohail Ahmed Khan, Wasiq Khan, Abir Hussain:
Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis). - Nikos Vlassis, Fernando Amat Gil, Ashok Chandrashekar:
Off-Policy Evaluation of Slate Policies under Bayes Risk. - Matej Klima, Miroslav Bures:
A Testing Tool for IoT Systems Operating with Limited Network Connectivity. - Daniel Ben David, Yehezkel S. Resheff, Talia Tron:
Explainable AI and Adoption of Algorithmic Advisors: an Experimental Study. - Rohan Iyer, Regina Rex, Kevin P. McPherson, Darshan Gandhi, Aryan Mahindra, Abhishek Singh, Ramesh Raskar:
Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geospatial Technologies. - Akira Horiguchi, Thomas J. Santner, Ying Sun, Matthew T. Pratola:
Using BART for Multiobjective Optimization of Noisy Multiple Objectives. - Muhammad Shafique, Mahum Naseer, Theocharis Theocharides, Christos Kyrkou, Onur Mutlu, Lois Orosa, Jungwook Choi:
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead. - Jinyin Chen, Longyuan Zhang, Haibin Zheng, Xueke Wang, Zhaoyan Ming:
DeepPoison: Feature Transfer Based Stealthy Poisoning Attack. - Nico Feld:
Augmentix - An Augmented Reality System for asymmetric Teleteaching. - Arieh Iserles, Karen Luong, Marcus Webb:
Approximation of wave packets on the real line. - Pegah Barkhordari, Roberto Galeazzi, Mogens Blanke:
Monitoring of Railpad Long-term Condition in Turnouts Using Extreme Value Distributions. - Jiawei Ren, Xiao Ma, Chen Xu, Haiyu Zhao, Shuai Yi:
HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification. - Sadia Tariq, Anis Ur Rahman, Tahir Azim, Rehman Gull Khan:
Instanced model simplification using combined geometric and appearance-related metric. - Hazem M. Soliman, Geoff Salmon, Dusan Sovilj, Mohan Rao:
RANK: AI-assisted End-to-End Architecture for Detecting Persistent Attacks in Enterprise Networks. - Giuseppe F. Italiano, Adam Karczmarz, Nikos Parotsidis:
Planar Reachability Under Single Vertex or Edge Failures. - Tobias Drey, Enrico Rukzio:
Discussing the Risks of Adaptive Virtual Environments for User Autonomy. - Yuntao Liu, Michael Zuzak, Yang Xie, Abhishek Chakraborty, Ankur Srivastava:
Robust and Attack Resilient Logic Locking with a High Application-Level Impact. - Arunava Ray, Pritam Chakraborty, Anindya Chatterjee:
Oscillatory Residual Stresses in Steady Angular Channel Extrusion. - William F. Godoy, Peter F. Peterson, Steven E. Hahn, Jay Jay Billings:
Efficient Data Management in Neutron Scattering Data Reduction Workflows at ORNL. - Suguman Bansal, Krishnendu Chatterjee, Moshe Y. Vardi:
On Satisficing in Quantitative Games. - Stein Kristiansen, Konstantinos Nikolaidis, Thomas Plagemann, Vera Goebel, Gunn Marit Traaen, Britt Øverland, Lars Aakerøy, Tove-Elizabeth Hunt, Jan Pål Loennechen, Sigurd Loe Steinshamn, Christina Holt Bendz, Ole-Gunnar Anfinsen, Lars Gullestad, Harriet Akre:
A Clinical Evaluation of a Low-Cost Strain Gauge Respiration Belt and Machine Learning to Detect Sleep Apnea. - Cao Vien Phung, Mounir Bensalem, Admela Jukan:
On the Expected Value of Buffer Size in IoT Devices Deploying REST HTTP. - Majid Rafiei, Wil M. P. van der Aalst:
Privacy-Preserving Data Publishing in Process Mining. - Miroslav Bures, Matej Klima, Vaclav Rechtberger, Bestoun S. Ahmed, Hanan Hindy, Xavier J. A. Bellekens:
Review of Specific Features and Challenges in the Current Internet of Things Systems Impacting their Security and Reliability. - Juan Ignacio Ibañez, Chris N. Bayer, Paolo Tasca, Jiahua Xu:
Triple-entry Accounting, Blockchain and Next of Kin: Towards a Standardization of Ledger Terminology. - Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu:
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective. - Nahas Pareekutty, Francis James, Balaraman Ravindran, Suril Vijaykumar Shah:
qRRT: Quality-Biased Incremental RRT for Optimal Motion Planning in Non-Holonomic Systems. - Andrea Romdhana, Alessio Merlo, Mariano Ceccato, Paolo Tonella:
Deep Reinforcement Learning for Black-Box Testing of Android Apps. - Domenick Poster, Matthew Thielke, Robert Nguyen, Srinivasan Rajaraman, Xing Di, Cedric Nimpa Fondje, Vishal M. Patel, Nathaniel J. Short, Benjamin S. Riggan, Nasser M. Nasrabadi, Shuowen Hu:
A Large-Scale, Time-Synchronized Visible and Thermal Face Dataset. - Jian Dai, Shuge Lei, Licong Dong, Xiaona Lin, Huabin Zhang, Desheng Sun, Kehong Yuan:
More Reliable AI Solution: Breast Ultrasound Diagnosis Using Multi-AI Combination. - Hai Huang, Jiaming Mu, Neil Zhenqiang Gong, Qi Li, Bin Liu, Mingwei Xu:
Data Poisoning Attacks to Deep Learning Based Recommender Systems. - Juana Valeria Hurtado, Laura Londoño, Abhinav Valada:
From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation. - Quratul-ain Mahesar, Simon Parsons:
Argument Schemes and Dialogue for Explainable Planning. - Elmira Amirloo Abolfathi, Jun Luo, Peyman Yadmellat, Kasra Rezaee:
CoachNet: An Adversarial Sampling Approach for Reinforcement Learning. - Opeoluwa Owoyele, Pinaki Pal, Alvaro Vidal Torreira, Daniel Probst, Matthew Shaxted, Michael Wilde, Peter Kelly Senecal:
An automated machine learning-genetic algorithm (AutoML-GA) approach for efficient simulation-driven engine design optimization. - Bartlomiej Twardowski, Pawel Zawistowski, Szymon Zaborowski:
Metric Learning for Session-based Recommendations. - Yalin E. Sagduyu, Tugba Erpek, Yi Shi:
Adversarial Machine Learning for 5G Communications Security. - Signe A. Redfield:
A review of robotics taxonomies in terms of form and structure. - Oscar Sainz, German Rigau:
Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Models. - Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Mhd Ali Moraly, Aquib Jamal, Lukas Frickenstein, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele:
L2PF - Learning to Prune Faster. - Abbas Mirzaei, Morteza Barari, Houman Zarrabi:
An Optimal Load Balanced Resource Allocation Scheme for Heterogeneous Wireless Networks based on Big Data Technology. - Seyed Abolfazl Ghasemzadeh, Erfan Bank Tavakoli, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
BRDS: An FPGA-based LSTM Accelerator with Row-Balanced Dual-Ratio Sparsification. - Marco Ferrante, Nicola Ferro, Norbert Fuhr:
Towards Meaningful Statements in IR Evaluation. Mapping Evaluation Measures to Interval Scales. - Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki:
Self-Attention Based Context-Aware 3D Object Detection. - Zhenyuan Feng, Bruno Clerckx, Yang Zhao:
Waveform and Beamforming Design for Intelligent Reflecting Surface Aided Wireless Power Transfer: Single-User and Multi-User Solutions. - Rachel M. Holladay, Tomás Lozano-Pérez, Alberto Rodriguez:
Planning for Multi-stage Forceful Manipulation. - Thomas Bi, Carmelo Sferrazza, Raffaello D'Andrea:
Zero-shot sim-to-real transfer of tactile control policies for aggressive swing-up manipulation. - Johannes Wachs, Balazs Vedres:
Does Crowdfunding Really Foster Innovation? Evidence from the Board Game Industry. - Joseph A. Goguen:
Theorem Proving and Algebra. - Zaiwei Zhang, Rohit Girdhar, Armand Joulin, Ishan Misra:
Self-Supervised Pretraining of 3D Features on any Point-Cloud. - Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani:
Where2Act: From Pixels to Actions for Articulated 3D Objects. - Amit Raj, Michael Zollhöfer, Tomas Simon, Jason M. Saragih, Shunsuke Saito, James Hays, Stephen Lombardi:
PVA: Pixel-aligned Volumetric Avatars. - Mengyi Sun, Jainabou Barry Danfa, Misha Teplitskiy:
Does double-blind peer-review reduce bias? Evidence from a top computer science conference. - Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer:
TrackFormer: Multi-Object Tracking with Transformers. - Stephen Bates, Anastasios Angelopoulos, Lihua Lei, Jitendra Malik, Michael I. Jordan:
Distribution-Free, Risk-Controlling Prediction Sets. - Letizia Jaccheri, Sandro Morasca:
Toward Inclusion of Children as Software Engineering Stakeholders. - Austin Stone, Oscar Ramirez, Kurt Konolige, Rico Jonschkowski:
The Distracting Control Suite - A Challenging Benchmark for Reinforcement Learning from Pixels. - Peter A. Zachares, Michelle A. Lee, Wenzhao Lian, Jeannette Bohg:
Interpreting Contact Interactions to Overcome Failure in Robot Assembly Tasks. - Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel:
A Novel Regression Loss for Non-Parametric Uncertainty Optimization. - Prabuddha Chakraborty, Swarup Bhunia:
Neural Storage: A New Paradigm of Elastic Memory. - Junyao Kuang, Caterina M. Scoglio:
Layer reconstruction and missing link prediction of multilayer network with Maximum A Posteriori estimation. - Antonia Stern, Lalith Sharan, Gabriele Romano, Sven Koehler, Matthias Karck, Raffaele De Simone, Ivo Wolf, Sandy Engelhardt:
Heatmap-based 2D Landmark Detection with a Varying Number of Landmarks. - Sakib Haque, Aakash Bansal, Lingfei Wu, Collin McMillan:
Action Word Prediction for Neural Source Code Summarization. - Wei Chen, Arun Ramamurthy:
Deep Generative Model for Efficient 3D Airfoil Parameterization and Generation. - Laura Petrich, Jun Jin, Masood Dehghan, Martin Jägersand:
Assistive arm and hand manipulation: How does current research intersect with actual healthcare needs? - Maciej A. Czyzewski:
Transfer Learning Between Different Architectures Via Weights Injection. - Frédéric Marazzato, Alexandre Ern, Laurent Monasse:
Quasi-static crack propagation with a Griffith criterion using a discrete element method. - Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe:
Active Screening for Recurrent Diseases: A Reinforcement Learning Approach. - Joris Guérin, Stéphane Thiery, Eric Nyiri, Olivier Gibaru, Byron Boots:
Combining pretrained CNN feature extractors to enhance clustering of complex natural images. - Javad Rahimipour Anaraki, Chelsea Anne Rauh, Jason Leung, Tom Chau:
EmoconLite: Bridging the Gap Between Emotiv and Play for Children With Severe Disabilities. - Sheng Yue, Ju Ren, Nan Qiao, Yongmin Zhang, Hongbo Jiang, Yaoxue Zhang:
TODG: Distributed Task Offloading with Delay Guarantees for Edge Computing. - Becky Mashaido:
Learning Grammar of Complex Activities via Deep Neural Networks. - Tanujay Saha, Najwa Aaraj, Neel Ajjarapu, Niraj K. Jha:
SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine Learning. - Zoran Cenev, P. A. Diluka Harischandra, Seppo Nurmi, Mika Latikka, Ville Hynninen, Robin H. A. Ras, Jaakko V. I. Timonen, Quan Zhou:
Ferrofluidic Manipulator: Automatic Manipulation of Non-magnetic Microparticles at Air-Ferrofluid Interface. - Marceau Métillon, Philippe Cardou, Kévin Subrin, Camilo Charron, Stéphane Caro:
A Cable-Driven Parallel Robot with Full-Circle End-Effector Rotations. - Hongjing Zhang, Tianyang Zhan, Sugato Basu, Ian Davidson:
A Framework for Deep Constrained Clustering. - Nisreen AbdAllah, Serestina Viriri:
Off-Line Arabic Handwritten Words Segmentation using Morphological Operators. - Serguei Kalentchouk, Michael Hutchinson, Deepak Tolani:
Enhanced Direct Delta Mush. - Ramakrishnan Thirumalaisamy, Neelesh A. Patankar, Amneet Pal Singh Bhalla:
Handling Neumann and Robin boundary conditions in a fictitious domain volume penalization framework. - Shangtong Zhang, Yi Wan, Richard S. Sutton, Shimon Whiteson:
Average-Reward Off-Policy Policy Evaluation with Function Approximation. - Prathamesh Deshpande, Kamlesh Marathe, Abir De, Sunita Sarawagi:
Long Horizon Forecasting With Temporal Point Processes. - Jianfeng Chen, Xipeng Shen, Tim Menzies:
Faster SAT Solving for Software with Repeated Structures (with Case Studies on Software Test Suite Minimization). - Junkai Zhang, Navneet Garg, Mark Holm, Tharmalingam Ratnarajah:
Design of Full-Duplex Millimeter-Wave Integrated Access and Backhaul Networks. - Haiyang Liu, Hanlin Zhang, Li Guo, Jia Yu, Jie Lin:
Privacy-Preserving Cloud-Aided Broad Learning System. - Xintao Yan, Shuo Feng, Haowei Sun, Henry X. Liu:
Distributionally Consistent Simulation of Naturalistic Driving Environment for Autonomous Vehicle Testing. - Osayande P. Omondiagbe, Sherlock A. Licorish, Stephen G. MacDonell:
Features that Predict the Acceptability of Java and JavaScript Answers on Stack Overflow. - Becky Mashaido, Winston Moh Tangongho:
A Tale of Fairness Revisited: Beyond Adversarial Learning for Deep Neural Network Fairness. - Xueting Zhang, Debin Meng, Henry Gouk, Timothy M. Hospedales:
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition. - Jianxiong Guo, Weili Wu:
Differential Privacy-Based Online Allocations towards Integrating Blockchain and Edge Computing. - Claudio Sacerdoti Coen, Alwen Tiu:
Proceedings Fifteenth Workshop on Logical Frameworks and Meta-Languages: Theory and Practice, LFMTP 2020, Paris, France, 29th June 2020. EPTCS 332, 2021 [contents] - Yutao Ma, Xiao Geng, Jian Wang, Keqing He, Dionysis Athanasopoulos:
Deep Learning Framework for Online Interactive Service Recommendation in Iterative Mashup Development. - Haojian Zhang, Yabin Zhang, Kui Jia, Lei Zhang:
Unsupervised Domain Adaptation of Black-Box Source Models. - Yuto Ushioda, Masato Tanaka, Tomomi Matsui:
Monte Carlo Methods for Calculating Shapley-Shubik Power Index in Weighted Majority Games. - Takuma Yoneda, Charles B. Schaff, Takahiro Maeda, Matthew R. Walter:
Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge. - Dan Xu, Xavier Alameda-Pineda, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe:
Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction. - Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu:
Dynamic Graph Collaborative Filtering. - Yunjin Zhang, Rui Wang, Yifan Peng, Wei Hua, Hujun Bao:
Color Contrast Enhanced Rendering for Optical See-through Head-mounted Displays. - Sai Sandeep:
Almost Optimal Inapproximability of Multidimensional Packing Problems. - Hyungbo Shim:
Disturbance Observer. - Ayesha Siddique, Kanad Basu, Khaza Anuarul Hoque:
Exploring Fault-Energy Trade-offs in Approximate DNN Hardware Accelerators. - Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh:
Foureye: Defensive Deception based on Hypergame Theory Against Advanced Persistent Threats. - Zheng Lin, Lifeng Wang, Bo Tan, Xiang Li:
Spatial-spectral Terahertz Networks. - Mustafa Can Gursoy, Masoumeh Nasiri-Kenari, Urbashi Mitra:
Towards High Data-Rate Diffusive Molecular Communications: Performance Enhancement Strategies. - Vishnu Ram Sampathkumar:
ADiag: Graph Neural Network Based Diagnosis of Alzheimer's Disease. - José-Luis Blanco-Claraco, Antonio Leanza, Giulio Reina:
A general framework for modeling and dynamic simulation of multibody systems using factor graphs. - Mohannad AlMousa, Rachid Benlamri, Richard Khoury:
A Novel Word Sense Disambiguation Approach Using WordNet Knowledge Graph. - Zhimin Yuan, Xiaofen Ma, Jiajin Yi, Zhengrong Luo, Jialin Peng:
HIVE-Net: Centerline-Aware HIerarchical View-Ensemble Convolutional Network for Mitochondria Segmentation in EM Images. - Zhengqi He, Taro Toyoizumi:
An Information-theoretic Progressive Framework for Interpretation. - Tatsuhito Hasegawa:
Octave Mix: Data augmentation using frequency decomposition for activity recognition. - Yutao Tang, Peng Yi:
Nash Equilibrium Seeking for High-order Multi-agent Systems with Unknown Dynamics. - Quan Quan, Rao Fu, Kai-Yuan Cai:
Practical Control for Multicopters to Avoid Non-Cooperative Moving Obstacles. - Itai Arieli, Yakov Babichenko, Manuel Mueller-Frank:
Sequential Naive Learning. - William Gerst:
An iterative algorithm for approximating roots of integers. - Marissa Dotter, Sherry Xie, Keith Manville, Josh Harguess, Colin Busho, Mikel Rodriguez:
Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks. - Shao-Kui Zhang, Wei-Yu Xie, Song-Hai Zhang:
Geometry-Based Layout Generation with Hyper-Relations AMONG Objects. - Xiaoyan Ma, Shuaishuai Guo, Haixia Zhang, Yuguang Fang, Dongfeng Yuan:
Joint Beamforming and Reflecting Design in Reconfigurable Intelligent Surface-Aided Multi-User Communication Systems. - Anwar Alnawas, Nursal Arici:
Effect of Word Embedding Variable Parameters on Arabic Sentiment Analysis Performance. - Liang Xu, Liying Zheng, Weijun Li, Zhenbo Chen, Weishun Song, Yue Deng, Yongzhe Chang, Jing Xiao, Bo Yuan:
NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection. - Yusheng Huang, Dong Chu, Joel Weijia Lai, Yong Deng, Kang Hao Cheong:
When does the Physarum Solver Distinguish the Shortest Path from other Paths: the Transition Point and its Applications. - Meifan Zhang, Hongzhi Wang:
Approximate Query Processing for Group-By Queries based on Conditional Generative Models. - Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma:
Towards Accelerating Training of Batch Normalization: A Manifold Perspective. - Qing Wang, Jun Du, Huaxin Wu, Jia Pan, Feng Ma, Chin-Hui Lee:
A Four-Stage Data Augmentation Approach to ResNet-Conformer Based Acoustic Modeling for Sound Event Localization and Detection. - Fabio Molinari, Alexander Katriniok, Jörg Raisch:
Real-Time Distributed Automation Of Road Intersections. - Zhenzhong Wang, Haokai Hong, Kai Ye, Min Jiang, Kay Chen Tan:
Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks. - Mohsen Kian:
How type of Convexity of the Core function affects the Csiszár f-divergence functional. - Pradipta Biswas, Pilar Orero, Manohar Swaminathan, Kavita Krishnaswamy, Peter Robinson:
Adaptive Accessible AR/VR Systems. - Hallvar Haugdal, Kjetil Uhlen:
An Open Source Power System Simulator in Python for Efficient Prototyping of WAMPAC Applications. - Patryk Grelewicz, Thanh Tung Khuat, Jacek Czeczot, Tomasz Klopot, Bogdan Gabrys:
Application of Machine Learning to Performance Assessment for a class of PID-based Control Systems. - Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
BN-invariant sharpness regularizes the training model to better generalization. - Kristoffer L. Nielbo, Rebekah Brita Baglini, Peter Bjerregaard Vahlstrup, Kenneth C. Enevoldsen, Anja Bechmann, Andreas Roepstorff:
News Information Decoupling: An Information Signature of Catastrophes in Legacy News Media. - Aisling McGlinchey, Oliver Mason:
Observations on the Bias of Nonnegative Mechanisms for Differential Privacy. - Ngoc Mai Monica Huynh, Luca Franco Pavarino, Simone Scacchi:
Parallel Newton-Krylov-BDDC and FETI-DP deluxe solvers for implicit time discretizations of the cardiac Bidomain equations. - Zhihui Gao, Ang Li, Yunfan Gao, Yu Wang, Yiran Chen:
Hermes: Decentralized Dynamic Spectrum Access System for Massive Devices Deployment in 5G. - Andreas Papadimitriou, Sina Sharif Mansouri, Christoforos Kanellakis, George Nikolakopoulos:
Geometry Aware NMPC Scheme for Morphing Quadrotor Navigation in Restricted Entrances. - (Withdrawn) Infinite-dimensional Folded-in-time Deep Neural Networks.
- Tim Räz:
Group Fairness: Independence Revisited. - Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong:
Spatial Object Recommendation with Hints: When Spatial Granularity Matters. - Franziska Schwaiger, Maximilian Henne, Fabian Küppers, Felippe Schmoeller Roza, Karsten Roscher, Anselm Haselhoff:
From Black-box to White-box: Examining Confidence Calibration under different Conditions. - Joachim Sicking, Alexander Kister, Matthias Fahrland, Stefan Eickeler, Fabian Hüger, Stefan Rüping, Peter Schlicht, Tim Wirtz:
Approaching Neural Network Uncertainty Realism. - Andreas Weinand, Andreu G. de la Fuente, Christoph Lipps, Michael Karrenbauer:
Physical Layer Security based Key Management for LoRaWAN. - Stefan Runeson, Ali Zaidi, Ana Cantarero:
Coverage Enhancement for Vehicles. - Nicolas Blin, Pierre Riedinger, Jamal Daafouz, Louis Grimaud, Philippe Feyel:
Necessary and Sufficient Conditions for Harmonic Control in Continuous Time. - Noé Cecillon, Vincent Labatut, Richard Dufour, Georges Linarès:
Graph embeddings for Abusive Language Detection. - Faisal Khan, Debdeep Bose:
Artificial Intelligence enabled Smart Learning. - Marcelo P. Fiore, Andrew M. Pitts, S. C. Steenkamp:
Quotients, inductive types, and quotient inductive types. - Timm Faulwasser, Arne-Jens Hempel, Stefan Streif:
On the Turnpike to Design of Deep Neural Nets: Explicit Depth Bounds. - Rahul Goel, Rajesh Sharma:
Studying Leaders During Times of Crisis Using Online Social Media - A COVID Case Study. - Ezekiel O. Soremekun, Lukas Kirschner, Marcel Böhme, Andreas Zeller:
Locating Faults with Program Slicing: An Empirical Analysis. - Fereshteh Lagzi:
Residual networks classify inputs based on their neural transient dynamics. - Iknoor Singh, Carolina Scarton, Kalina Bontcheva:
Multistage BiCross Encoder: Team GATE Entry for MLIA Multilingual Semantic Search Task 2. - Cyril Cappi, Camille Chapdelaine, Laurent Gardes, Eric Jenn, Baptiste Lefèvre, Sylvaine Picard, Thomas Soumarmon:
Dataset Definition Standard (DDS). - A. K. M. Bahalul Haque, Sonia Tasmin:
Security Threats and Research Challenges of IoT-A Review. - Sonal Kumari, Vibhav Agarwal, Bharath Challa, Kranti Chalamalasetti, Sourav Ghosh, Harshavardhana, Barath Raj Kandur Raja:
LiteMuL: A Lightweight On-Device Sequence Tagger using Multi-task Learning. - Vibhav Agarwal, Sourav Ghosh, Kranti Chalamalasetti, Bharath Challa, Sonal Kumari, Harshavardhana, Barath Raj Kandur Raja:
EmpLite: A Lightweight Sequence Labeling Model for Emphasis Selection of Short Texts. - Carlos Badenes-Olmedo, José Luis Redondo García, Óscar Corcho:
Scalable Cross-lingual Document Similarity through Language-specific Concept Hierarchies. - Oliver Adams, Benjamin Galliot, Guillaume Wisniewski, Nicholas Lambourne, Ben Foley, Rahasya Sanders-Dwyer, Janet Wiles, Alexis Michaud, Séverine Guillaume, Laurent Besacier, Christopher Cox, Katya Aplonova, Guillaume Jacques, Nathan Hill:
User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis. - Qi Wu, Peng Wang, Chenghao Huang:
MeisterMorxrc at SemEval-2020 Task 9: Fine-Tune Bert and Multitask Learning for Sentiment Analysis of Code-Mixed Tweets. - Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V. Mancenido, Huan Liu:
"Let's Eat Grandma": When Punctuation Matters in Sentence Representation for Sentiment Analysis. - Julio Aracena, Christopher Thraves Caro:
On the Recognition of Strong-Robinsonian Incomplete Matrices. - Chenyang Gao, Guanyu Cai, Xinyang Jiang, Feng Zheng, Jun Zhang, Yifei Gong, Pai Peng, Xiaowei Guo, Xing Sun:
Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search. - Robert S. R. Myers, Stefan Milius, Henning Urbat:
Nondeterministic Syntactic Complexity. - Pulei Xiong, Scott Buffett, Shahrear Iqbal, Philippe Lamontagne, Mohammad Saiful Islam Mamun, Heather Molyneaux:
Towards a Robust and Trustworthy Machine Learning System Development. - Felipe Millar, Ignacio Muga, Sergio Rojas, Kristoffer G. van der Zee:
Projection in negative norms and the regularization of rough linear functionals. - Yaohui Wang, François Brémond, Antitza Dantcheva:
InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network for Video Generation. - Yuhao Mao, Serguei A. Mokhov, Sudhir P. Mudur:
Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy. - Sebastian Palacio, Philipp Engler, Jörn Hees, Andreas Dengel:
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks. - Cristina Feier, Carsten Lutz, Marcin Przybylko:
Answer Counting under Guarded TGDs. - Pramuditha Perera, Poojan Oza, Vishal M. Patel:
One-Class Classification: A Survey. - Gabriela F. Nane, François van Schalkwyk, Jonathan Dudek, Daniel Torres-Salinas, Rodrigo Costas, Nicolás Robinson-García:
The role of scientific output in public debates in times of crisis: A case study of the reopening of schools during the COVID-19 pandemic. - Sebastian Euler, Xingqin Lin, Erika Tejedor, Evanny Obregon:
A Primer on HIBS - High Altitude Platform Stations as IMT Base Stations. - Nannan Wu, Qianwen Chao, Yanzhen Chen, Weiwei Xu, Chen Liu, Dinesh Manocha, Wenxin Sun, Yi Han, Xinran Yao, Xiaogang Jin:
Example-based Real-time Clothing Synthesis for Virtual Agents. - Benedek Rozemberczki, Rik Sarkar:
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings. - Omid Torki, Maede Ashouri-Talouki, Mojtaba Mahdavi:
Blockchain for steganography: advantages, new algorithms and open challenges. - Sofian Hamad, Taoufik Yeferny:
Routing Approach for P2P Systems Over MANET Network. - Mihai Nadin:
Foresight AND Hindsight. - Carlos Olarte, Elaine Pimentel, Camilo Rocha:
A Rewriting Logic Approach to Specification, Proof-search, and Meta-proofs in Sequent Systems. - Laszlo Erdodi, Åvald Åslaugson Sommervoll, Fabio Massimo Zennaro:
Simulating SQL Injection Vulnerability Exploitation Using Q-Learning Reinforcement Learning Agents. - Md. Zubair, Md. Asif Iqbal, Avijeet Shil, Enamul Haque, Mohammed Moshiul Hoque, Iqbal H. Sarker:
An Efficient K-means Clustering Algorithm for Analysing COVID-19. - Rony Chowdhury Ripan, Iqbal H. Sarker, Md Musfique Anwar, Md. Hasan Furhad, Fazle Rahat, Mohammed Moshiul Hoque, Muhammad Sarfraz:
An Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies. - Ruohan Gao, Kristen Grauman:
VisualVoice: Audio-Visual Speech Separation with Cross-Modal Consistency. - Fanjie Kong, Xiao-Yang Liu, Ricardo Henao:
Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification. - Shutang You:
Impact of High PV Penetration on the Inter-area Oscillations in the U.S. Eastern Interconnection. - Imene Trigui, Edouard Komi Agbogla, Mustapha Benjillali, Wessam Ajib, Wei-Ping Zhu:
Bit Error Rate Analysis for Reconfigurable Intelligent Surfaces with Phase Errors. - Kaustubh Joshi:
Cantor Mapping Technique. - Maohan Liang, Ryan Wen Liu, Shichen Li, Zhe Xiao, Xin Liu, Feng Lu:
An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation. - Mengqi Shen:
A review paper of bio-inspired environmental adaptive and precisely maneuverable soft robots. - Rohan Saha, Cassidy Pirlot:
Analysis of Evolutionary Program Synthesis for Card Games. - Uwaise Ibna Islam, Iqbal H. Sarker, Enamul Haque, Mohammed Moshiul Hoque:
Predicting Individual Substance Abuse Vulnerability using Machine Learning Techniques. - Mingzhe Li, Sourabh Palande, Bei Wang:
Sketching Merge Trees. - Abiy Tasissa, Duc Nguyen, James M. Murphy:
Deep Diffusion Processes for Active Learning of Hyperspectral Images. - Badri Narayanan, Mohamed Saadeldin, Paul Albert, Kevin McGuinness, Brian Mac Namee:
Extracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset. - Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello:
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors. - Muhammad Usman, Kashif Ahmad, Amir Sohail, Marwa K. Qaraqe:
The Diabetic Buddy: A Diet Regulator andTracking System for Diabetics. - Yifei Hu, Xiaonan Jing, Youlim Ko, Julia Taylor Rayz:
Misspelling Correction with Pre-trained Contextual Language Model. - Sayar Ghosh Roy, Ujwal Narayan, Tathagata Raha, Zubair Abid, Vasudeva Varma:
Leveraging Multilingual Transformers for Hate Speech Detection. - Xiaonan Jing, Julia Taylor Rayz:
Graph-of-Tweets: A Graph Merging Approach to Sub-event Identification. - Michal Drozdowicz, Maria Ganzha, Marcin Paprzycki:
Semantic Access Control for Privacy Management of Personal Sensing in Smart Cities. - Sarvenaz Chaeibakhsh, Roya Sabbagh Novin, Tucker Hermans, Andrew Merryweather, Alan Kuntz:
Optimizing Hospital Room Layout to Reduce the Risk of Patient Falls. - Roberto Magán-Carrión, Alberto Abellán-Galera, Gabriel Maciá-Fernández, Pedro García-Teodoro:
Unveiling the I2P web structure: a connectivity analysis. - Cristian F. Sottile, Alejandro Díaz-Caro, Pablo E. Martínez López:
Polymorphic System I. - Alexandre Duval, Gael de Leseleuc de Kerouara, Thomas Lamson:
Controllable and contextualised writing tool for novel authors. - Olakunle Ibitoye, M. Omair Shafiq, Ashraf Matrawy:
DiPSeN: Differentially Private Self-normalizing Neural Networks For Adversarial Robustness in Federated Learning. - Zeyu Ning, Hugues Nelson Iradukunda, Qingquan Zhang, Ting Zhu:
Benchmarking Machine Learning: How Fast Can Your Algorithms Go? - Marek Kwiek, Wojciech Roszka:
Are Female Scientists Less Inclined to Publish Alone? The Gender Solo Research Gap. - Alexis Bonnecaze, Patrick Solé:
The extended binary quadratic residue code of length 42 holds a 3-design. - Linda Liu, Yile Gu, Aditya Gourav, Ankur Gandhe, Shashank Kalmane, Denis Filimonov, Ariya Rastrow, Ivan Bulyko:
Domain-aware Neural Language Models for Speech Recognition. - (Withdrawn) Generation of Traffic Flows in Multi-Agent Traffic Simulation with Agent Behavior Model based on Deep Reinforcement Learning.
- Krishna Yadav, Lakshya Choudhary:
Key Phrase Extraction & Applause Prediction. - Ping Yu, Ruiyi Zhang, Yang Zhao, Yizhe Zhang, Chunyuan Li, Changyou Chen:
SDA: Improving Text Generation with Self Data Augmentation. - Amirreza Shirani, Giai Tran, Hieu Trinh, Franck Dernoncourt, Nedim Lipka, Paul Asente, Jose Echevarria, Thamar Solorio:
Learning to Emphasize: Dataset and Shared Task Models for Selecting Emphasis in Presentation Slides. - Jeevana Priya Inala, Yichen Yang, James Paulos, Yewen Pu, Osbert Bastani, Vijay Kumar, Martin C. Rinard, Armando Solar-Lezama:
Neurosymbolic Transformers for Multi-Agent Communication. - Jaap-Henk Hoepman:
Hansel and Gretel and the Virus: Privacy Conscious Contact Tracing. - Michael Holzmann, AmirAbbas Davari, Thorsten Seehaus, Matthias H. Braun, Andreas Maier, Vincent Christlein:
Glacier Calving Front Segmentation Using Attention U-Net. - Andreas Hartmann, AmirAbbas Davari, Thorsten Seehaus, Matthias Braun, Andreas Maier, Vincent Christlein:
Bayesian U-Net for Segmenting Glaciers in SAR Imagery. - Siavash Rezaei, Abhishek Moturu, Shun Zhao, Kenneth M. Prkachin, Thomas Hadjistavropoulos, Babak Taati:
Unobtrusive Pain Monitoring in Older Adults with Dementia using Pairwise and Contrastive Training. - Rosanna Dietrich-Sussner, AmirAbbas Davari, Thorsten Seehaus, Matthias Braun, Vincent Christlein, Andreas Maier, Christian Riess:
Synthetic Glacier SAR Image Generation from Arbitrary Masks Using Pix2Pix Algorithm. - Guosong Yang, Radha Poovendran, João P. Hespanha:
Adaptive Learning in Two-Player Stackelberg Games with Application to Network Security. - Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang:
Good Students Play Big Lottery Better. - Matthew Sotoudeh, Aditya V. Thakur:
SyReNN: A Tool for Analyzing Deep Neural Networks. - Sheng Lei, Alexander J. Flueck:
Studies on Frequency Response Optimized Integrators Considering Second Order Derivative. - Shili Sheng, Erfan Pakdamanian, Kyungtae Han, Ziran Wang, John Lenneman, Lu Feng:
Trust-Based Route Planning for Automated Vehicles. - Masayuki Asahara:
A Gamification of Japanese Dependency Parsing. - Masahisa Watanabe, Kenshi Sakai:
Investigation by Driving Simulation of Tractor Overturning Accidents Caused by Steering Instability. - Dongze Li, Wei Wang, Hongxing Fan, Jing Dong:
Exploring Adversarial Fake Images on Face Manifold. - Saeed Kaviani, Bo Ryu, Ejaz Ahmed, Kevin A. Larson, Anh Le, Alex Yahja, Jae H. Kim:
Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for MANETs. - Jordan Lee, Willy Lin, Konstantinos Ntalis, Anirudh Shah, William Tung, Maxwell Wulff:
Identifying Human Edited Images using a CNN. - Abhishek Mohta, Fang-Chieh Chou, Brian C. Becker, Carlos Vallespi-Gonzalez, Nemanja Djuric:
Investigating the Effect of Sensor Modalities in Multi-Sensor Detection-Prediction Models. - Ren Ren, Jinliang Shao:
Block Modeling and Detectability for Community Structure in Node Attributed Networks. - Yu Tian, Leonardo Zorron Cheng Tao Pu, Yuyuan Liu, Gabriel Maicas, Johan W. Verjans, Alastair D. Burt, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro:
Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning. - Fuyu Wang, Xiaodan Liang, Lin Xu, Liang Lin:
Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition. - Yang Song, Diederik P. Kingma:
How to Train Your Energy-Based Models. - Minh Van Nguyen, Viet Dac Lai, Amir Pouran Ben Veyseh, Thien Huu Nguyen:
Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing. - Omar Sharif, Eftekhar Hossain, Mohammed Moshiul Hoque:
Combating Hostility: Covid-19 Fake News and Hostile Post Detection in Social Media. - Zhi Chen, Zi Huang, Jingjing Li, Zheng Zhang:
Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning. - Bahareh Najafi, Saeedeh Parsaeefard, Alberto Leon-Garcia:
Estimation of Missing Data in Intelligent Transportation System. - Yuntian Deng, Shiping Shao, Archak Mittal, Richard Twumasi-Boakye, James Fishelson, Abhishek Gupta, Ness B. Shroff:
Incentive Design and Profit Sharing in Multi-modal Transportation Network. - Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu:
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data. - Hang Chen, Syed Ali Asif, Jihong Park, Chien-Chung Shen, Mehdi Bennis:
Robust Blockchained Federated Learning with Model Validation and Proof-of-Stake Inspired Consensus. - Anurag Roy, Shalmoli Ghosh, Kripabandhu Ghosh, Saptarshi Ghosh:
An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance Detection. - Ting Jiang, Deqing Wang, Leilei Sun, Huayi Yang, Zhengyang Zhao, Fuzhen Zhuang:
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification. - Kristine Zhang, Yuanheng Wang, Jianzhun Du, Brian Chu, Leo Anthony Celi, Ryan Kindle, Finale Doshi-Velez:
Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment. - Vineet Mehta, Parul Gupta, Ramanathan Subramanian, Abhinav Dhall:
FakeBuster: A DeepFakes Detection Tool for Video Conferencing Scenarios. - Liang Xu, Taro Hatsutani, Xing Liu, Engkarat Techapanurak, Han Zou, Takayuki Okatani:
Pushing the Envelope of Thin Crack Detection. - Alexander B. Veretennikov:
Selection of Optimal Parameters in the Fast K-Word Proximity Search Based on Multi-component Key Indexes. - Uwe Naumann:
Differential Invariants. - Robin Marco Gubela, Stefan Lessmann:
Interpretable Multiple Treatment Revenue Uplift Modeling. - Saeed Khan, Md Shahzamal:
Land Use Detection & Identification using Geo-tagged Tweets. - Manuel Blázquez Ochando, Juan José Prieto-Gutierrez:
Ribonucleic acid (RNA) virus and coronavirus in Google Dataset Search: their scope and epidemiological correlation. - Chen Yang:
Learning Better Sentence Representation with Syntax Information. - Chinwei Huang, Borching Su, Tingyi Lin, Yenming Huang:
Downlink SCMA Codebook Design with Low Error Rate by Maximizing Minimum Euclidean Distance of Superimposed Codewords. - Burhan Rashid Hussein, Chongomweru Halimu, Muhammad Tariq Siddique:
The Future of Artificial Intelligence and its Social, Economic and Ethical Consequences. - Stefano Savazzi, Monica Nicoli, Mehdi Bennis, Sanaz Kianoush, Luca Barbieri:
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems. - Raffaele D'Ambrosio, Carmela Scalone:
On the numerical solution of stochastic oscillators driven by time-varying and random forces. - Tathagata Raha, Sayar Ghosh Roy, Ujwal Narayan, Zubair Abid, Vasudeva Varma:
Task Adaptive Pretraining of Transformers for Hostility Detection. - Syed M. Hassaan, Qiang Shen, Sze Zheng Yong:
Equalized Recovery State Estimators for Linear Systems with Delayed and Missing Observations. - Zhaonan Dong, Lorenzo Mascotto:
On the suboptimality of the p-version discontinuous Galerkin methods for first order hyperbolic problems. - Jules Jacobs:
Paradoxes of Probabilistic Programming. - Hanxiong Chen, Xu Chen, Shaoyun Shi, Yongfeng Zhang:
Generate Natural Language Explanations for Recommendation. - Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft:
Context-Aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants. - Xiaoyang Gong, Dan Negrut:
CryptoEmu: An Instruction Set Emulator for Computation Over Ciphers. - Sheyda Zarandi, Hina Tabassum:
Delay Minimization in Sliced Multi-Cell Mobile Edge Computing (MEC) Systems. - Gabriel Henrique de Almeida Pereira, André Minoro Fusioka, Bogdan Tomoyuki Nassu, Rodrigo Minetto:
Active Fire Detection in Landsat-8 Imagery: a Large-Scale Dataset and a Deep-Learning Study. - Soumendu Chakraborty, Satish Kumar Singh, Kush Kumar:
Facial Biometric System for Recognition using Extended LGHP Algorithm on Raspberry Pi. - Erwin Hernández, Felipe Lepe, Jesus Vellojin:
Analysis of an abstract mixed formulation for viscoelastic problems. - Shiyu Duan, José C. Príncipe:
Training Deep Architectures Without End-to-End Backpropagation: A Brief Survey. - Shane Storks, Qiaozi Gao, Govind Thattai, Gökhan Tür:
Are We There Yet? Learning to Localize in Embodied Instruction Following. - Junde Li, Rasit Onur Topaloglu, Swaroop Ghosh:
Quantum Generative Models for Small Molecule Drug Discovery. - Khashayar Kamran, Armin Moharrer, Stratis Ioannidis, Edmund Yeh:
Rate Allocation and Content Placement in Cache Networks. - James Foster, Terry J. Lyons, Harald Oberhauser:
The shifted ODE method for underdamped Langevin MCMC. - Albert Lee, Bingqian Dai, Di Wu, Hao Wu, Robert N. Schwartz, Kang L. Wang:
A Thermodynamic Core using Voltage-Controlled Spin-Orbit-Torque Magnetic Tunnel Junctions. - Ashim Gupta, Giorgi Kvernadze, Vivek Srikumar:
BERT & Family Eat Word Salad: Experiments with Text Understanding. - Kimberly Ding, S. Matthew Weinberg:
Approximately Strategyproof Tournament Rules in the Probabilistic Setting. - Yue Yu:
Implementation of Polygonal Mesh Refinement in MATLAB. - Narayan Bhusal, Raj Mani Shukla, Mukesh Gautam, Mohammed Benidris, Shamik Sengupta:
Deep Ensemble Learning-based Approach to Real-time Power System State Estimation. - Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao:
SPAGAN: Shortest Path Graph Attention Network. - Shuhao Cao, Chunmei Wang, Junping Wang:
A New Numerical Method for Div-Curl Systems with Low Regularity Assumptions. - Peter Washington, Onur Cezmi Mutlu, Émilie Leblanc, Aaron Kline, Cathy Hou, Brianna Sierra Chrisman, Nate Tyler Stockham, Kelley M. Paskov, Catalin Voss, Nick Haber, Dennis P. Wall:
Using Crowdsourcing to Train Facial Emotion Machine Learning Models with Ambiguous Labels. - Peter Washington, Aaron Kline, Onur Cezmi Mutlu, Émilie Leblanc, Cathy Hou, Nate Tyler Stockham, Kelley M. Paskov, Brianna Sierra Chrisman, Dennis P. Wall:
Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging. - Sarthak, Shikhar Shukla, Govind Mittal, Karm Veer Arya:
Detecting Hostile Posts using Relational Graph Convolutional Network. - Ruofan Wu, Minhan Li, Zhikai Yao, Jennie Si, He Huang:
Reinforcement Learning Enabled Automatic Impedance Control of a Robotic Knee Prosthesis to Mimic the Intact Knee Motion in a Co-Adapting Environment. - Yuansheng Hua, Diego Marcos, Lichao Mou, Xiao Xiang Zhu, Devis Tuia:
Semantic Segmentation of Remote Sensing Images with Sparse Annotations. - Weixin Wang:
Joint Prediction of Remaining Useful Life and Failure Type of Train Wheelsets: A Multi-task Learning Approach. - Quoc-Viet Pham, Thien Huynh-The, Mamoun Alazab, Jun Zhao, Won-Joo Hwang:
Sum-Rate Maximization for UAV-assisted Visible Light Communications using NOMA: Swarm Intelligence meets Machine Learning. - Adrian Prochaska, Julien Pillas, Bernard Bäker:
Improved active output selection strategy for noisy environments. - Alireza Sepas-Moghaddam, Ali Etemad, Fernando Pereira, Paulo Lobato Correia:
CapsField: Light Field-based Face and Expression Recognition in the Wild using Capsule Routing. - Guy Katz:
Towards Repairing Scenario-Based Models with Rich Events. - Jinfeng Wen, Yi Liu:
An Empirical Study on Serverless Workflow Service. - Xiao Mao:
Shortest non-separating st-path on chordal graphs. - Shi Jin, Min Tang, Xiaojiang Zhang:
A Spatial-Temporal asymptotic preserving scheme for radiation magnetohydrodynamics. - Ahmad Banijamali, Pasi Kuvaja, Markku Oivo, Pooyan Jamshidi:
Kuksa*: Self-Adaptive Microservices in Automotive Systems. - Jui-Te Huang, Chen-Lung Lu, Po-Kai Chang, Ching-I Huang, Chao-Chun Hsu, Zu Lin Ewe, Po-Jui Huang, Hsueh-Cheng Wang:
Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental Conditions. - Yan Xiao, Yaochu Jin, Kuangrong Hao:
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification. - Gullal S. Cheema, Sherzod Hakimov, Ralph Ewerth:
TIB's Visual Analytics Group at MediaEval '20: Detecting Fake News on Corona Virus and 5G Conspiracy. - Shoaib Azam, Farzeen Munir, Moongu Jeon:
Channel Boosting Feature Ensemble for Radar-based Object Detection. - Md. Redowan Mahmud, Adel Nadjaran Toosi:
Con-Pi: A Distributed Container-based Edge and Fog Computing Framework for Raspberry Pis. - Glauco de Figueiredo Carneiro, Rafael Antônio Lima Cardoso, Antonio Pedro Dores, José Euclimar Xavier de Menezes:
Perspectives and Challenges in the Analysis of Prison Systems Data: A Systematic Mapping. - Jianfeng Cai, Meng Huang, Dong Li, Yang Wang:
Solving phase retrieval with random initial guess is nearly as good as by spectral initialization. - Fabian Amherd, Elias Rodríguez:
Heatmap-based Object Detection and Tracking with a Fully Convolutional Neural Network. - Sourya Dipta Das, Ayan Basak, Saikat Dutta:
A Heuristic-driven Ensemble Framework for COVID-19 Fake News Detection. - Andreas Kirsch:
PowerEvaluationBALD: Efficient Evaluation-Oriented Deep (Bayesian) Active Learning with Stochastic Acquisition Functions. - Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta, Vasudeva Varma:
Summaformers @ LaySumm 20, LongSumm 20. - Dongfang Yang, Fatema T. Johora, Keith A. Redmill, Ümit Özgüner, Jörg P. Müller:
Sub-Goal Social Force Model for Collective Pedestrian Motion Under Vehicle Influence. - Manjish Pal, Subham Pokhriyal:
Learning from Satisfying Assignments Using Risk Minimization. - Tristan Cazenave, Jean-Baptiste Sevestre, Matthieu Toulemont:
Stabilized Nested Rollout Policy Adaptation. - Hakan Kayan, Matthew Nunes, Omer F. Rana, Pete Burnap, Charith Perera:
Cybersecurity of Industrial Cyber-Physical Systems: A Review. - Safia Sadji:
A negotiating protocol for group decision support systems. - Zheming Zuo, Jie Li, Noura Al Moubayed:
Curvature-based Feature Selection with Application in Classifying Electronic Health Records. - Changxin Qiu, Aaron Bendickson, Joshua Kalyanapu, Jue Yan:
Accuracy and Architecture Studies of Residual Neural Network solving Ordinary Differential Equations. - Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang:
Towards Long-term Fairness in Recommendation. - Ibrahim Jubran, Alaa Maalouf, Ron Kimmel, Dan Feldman:
Provably Approximated ICP. - Simon Henry, Samuel Mimram:
Tietze Equivalences as Weak Equivalences. - Isaac J. Sledge, Matthew S. Emigh, Jonathan L. King, Denton L. Woods, J. Tory Cobb, José C. Príncipe:
Target Detection and Segmentation in Circular-Scan Synthetic-Aperture-Sonar Images using Semi-Supervised Convolutional Encoder-Decoders. - Indraneel Ghosh, Siddhant Kundu:
Combining Neural Network Models for Blood Cell Classification. - Wlodzislaw Duch:
Neurocognitive Informatics Manifesto. - Yuming Ba, Jana de Wiljes, Dean S. Oliver, Sebastian Reich:
Randomised maximum likelihood based posterior sampling. - Fatima Hussain, Rasheed Hussain, Ekram Hossain:
Explainable Artificial Intelligence (XAI): An Engineering Perspective. - Mohammadhossein Toutiaee:
Occupancy Detection in Room Using Sensor Data. - Harsh Kohli:
Transfer Learning and Augmentation for Word Sense Disambiguation. - Dongting Li, Sichuan Huang, Yong Tang, Junliang (Julian) Tao, Hamidreza Marvi, Daniel M. Aukes:
Compliant Fins for Locomotion in Granular Media. - Jie Xu, Heqiang Wang, Lixing Chen:
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks. - Hiroyoshi Komatsu:
The Logic for a Mildly Context-Sensitive Fragment of the Lambek-Grishin Calculus. - Guojun Xiong, Rahul Singh, Jian Li:
Learning Augmented Index Policy for Optimal Service Placement at the Network Edge. - So Yeon Park, Blair Kaneshiro:
User perspectives on critical factors for collaborative playlists. - Morteza Soltani, Zouheir Rezki:
The Degraded Discrete-Time Poisson Wiretap Channel. - Hao Wu, Junhao Gan, Zhewei Wei, Rui Zhang:
Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push. - Youngjin Kim:
Online Learning of Interconnected Neural Networks for Optimal Control of an HVAC System. - Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. - MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami:
Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities. - Wanting Lu, Heping Wang:
Approximation and quadrature by weighted least squares polynomials on the sphere. - Pamela Carreno-Medrano, Leimin Tian, Aimee Allen, Shanti Sumartojo, Michael Mintrom, Enrique Coronado, Gentiane Venture, Elizabeth A. Croft, Dana Kulic:
Aligning Robot's Behaviours and Users' Perceptions Through Participatory Prototyping. - Wanting Lu, Heping Wang:
On the power of standard information for tractability for L2-approximation in the randomized setting. - Amjed Tahir, Stephen G. MacDonell:
A Systematic Mapping Study on Dynamic Metrics and Software Quality. - Sherlock A. Licorish, Stephen G. MacDonell:
What Affects Team Behavior? Preliminary Linguistic Analysis of Communications in the Jazz Repository. - Petteri Kaskenpalo, Stephen G. MacDonell:
Valuing Evaluation: Methodologies to Bridge Research and Practice. - Xuewen Zhang, Yan Qin, Chau Yuen, Lahiru Jayasinghe, Xiang Liu:
Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation. - Tony Clear, Waqar Hussain, Stephen G. MacDonell:
The Many Facets of Distance and Space: the Mobility of Actors in Globally Distributed Project Teams. - Aoyu Wu, Liwenhan Xie, Bongshin Lee, Yun Wang, Weiwei Cui, Huamin Qu:
Learning to Automate Chart Layout Configurations Using Crowdsourced Paired Comparison. - Juan León Alcázar, Fabian Caba Heilbron, Ali K. Thabet, Bernard Ghanem:
MAAS: Multi-modal Assignation for Active Speaker Detection. - Carlo H. Godoy Jr.:
A Review of Game-based Mobile E-Learning Applications. - Qigang Liang, Xuejun Xu:
A Two-Level Preconditioned Helmholtz-Jacobi-Davidson Method for the Maxwell Eigenvalue Problem. - Limon Barua, Bo Zou, Yan Zhou, Yulin Liu:
Modeling Household Online Shopping Demand in the U.S.: A Machine Learning Approach and Comparative Investigation between 2009 and 2017. - Somaiyeh Mahmoud Zadeh, Amirmehdi Yazdani, Atabak Elmi, Amin Abbasi, Pooria Ghanooni:
Exploiting a Fleet of UAVs for Monitoring and Data Acquisition of a Distributed Sensor Network. - Gengshan Yang, Deva Ramanan:
Learning to Segment Rigid Motions from Two Frames. - Amin Abbasi, Somaiyeh Mahmoud Zadeh, Amirmehdi Yazdani:
A Cooperative Dynamic Task Assignment Framework for COTSBot AUVs. - Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun:
RepVGG: Making VGG-style ConvNets Great Again. - Danqing Zhu, Wangli Lin, Yang Zhang, Qiwei Zhong, Guanxiong Zeng, Weilin Wu, Jiayu Tang:
AT-BERT: Adversarial Training BERT for Acronym Identification Winning Solution for SDU@AAAI-21. - Zhiming Zhang, Jin Yan, Liangding Li, Hong Pan, Chuanzhi Dong:
Condition Assessment of Stay Cables through Enhanced Time Series Classification Using a Deep Learning Approach. - Buyang Li:
Convergence of Dziuk's semidiscrete finite element method for mean curvature flow of closed surfaces with high-order finite elements. - Yan Qin, Stefan Adams, Chau Yuen:
A Transfer Learning-based State of Charge Estimation for Lithium-Ion Battery at Varying Ambient Temperatures. - Ahmed Imteaj, M. Hadi Amini:
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots. - Shuo Niu, Ava Bartolome, Cat Mai, Nguyen Binh Ha:
#StayHome #WithMe: How Do YouTubers Help with COVID-19 Loneliness? - Kibeom Hong, Youngjung Uh, Hyeran Byun:
ArrowGAN : Learning to Generate Videos by Learning Arrow of Time. - Shaleen Deep, Xiao Hu, Paraschos Koutris:
Enumeration Algorithms for Conjunctive Queries with Projection. - Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister:
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts. - Zhuolun Xiang, Dahlia Malkhi, Kartik Nayak, Ling Ren:
Strengthened Fault Tolerance in Byzantine Fault Tolerant Replication. - Thomas Felber:
Constraint 2021: Machine Learning Models for COVID-19 Fake News Detection Shared Task. - Jagruti Sahoo, Kristin Barrett:
Internet of Things (IoT) Application Model for Smart Farming. - Takumi Watanabe, Hiroki Takahashi, Goh Sato, Yusuke Iwasawa, Yutaka Matsuo, Ikuko Eguchi Yairi:
Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks. - Xuefeng Liu, Mitsuhiro T. Nakao, Shin'ichi Oishi:
Computer-assisted proof for the stationary solution existence of the Navier-Stokes equation over 3D domains. - Buyang Li, Yifei Wu:
A fully discrete low-regularity integrator for the 1D periodic cubic nonlinear Schrödinger equation. - Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li:
An Exploratory Study on the Introduction and Removal of Different Types of Technical Debt. - Nevin Vunka Jungum, Nawaz Mohamudally, Nimal Nissanke:
A Fault Tolerant Mechanism for Partitioning and Offloading Framework in Pervasive Environments. - Maanak Gupta, Ravi S. Sandhu:
Reachability Analysis for Attributes in ABAC with Group Hierarchy. - Gaole He, Yunshi Lan, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals. - Soma Bandyopadhyay, Anish Datta, Arpan Pal:
Hierarchical Clustering using Auto-encoded Compact Representation for Time-series Analysis. - Yuanyuan Ding, Junchi Yan, Guoqiang Hu, Jun Zhu:
Cognitive Visual Inspection Service for LCD Manufacturing Industry. - Junjun Jiang, Chenyang Wang, Xianming Liu, Jiayi Ma:
Deep Learning-based Face Super-resolution: A Survey. - Francesco Pierri, Silvio Pavanetto, Marco Brambilla, Stefano Ceri:
VaccinItaly: monitoring Italian conversations around vaccines on Twitter. - Jiangfeng Huang, Zhiliang Deng, Liwei Xu:
A Bayesian level set method for an inverse medium scattering problem in acoustics. - Pieter Wolfert, Nicole L. Robinson, Tony Belpaeme:
A Review of Evaluation Practices of Gesture Generation in Embodied Conversational Agents. - Socratis Gkelios, Yiannis S. Boutalis, Savvas A. Chatzichristofis:
Investigating the Vision Transformer Model for Image Retrieval Tasks. - Eric Chénier, Robert Eymard:
Exact pressure elimination for the Crouzeix-Raviart scheme applied to the Stokes and Navier-Stokes problems. - Alexander Podolskiy, Dmitry Lipin, Andrey Bout, Ekaterina Artemova, Irina Piontkovskaya:
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection. - Philipp Czerner, Stefan Jaax:
Running Time Analysis of Broadcast Consensus Protocols. - Nicola Demo, Marco Tezzele, Andrea Mola, Gianluigi Rozza:
Hull shape design optimization with parameter space and model reductions, and self-learning mesh morphing. - Renhao Sun, Yang Wang, Zhao Zhang, Richang Hong, Meng Wang:
Deep Adversarial Inconsistent Cognitive Sampling for Multi-view Progressive Subspace Clustering. - Sayed Erfan Arefin, Tasnia Heya Ashrafi, Moinul Zaber:
Predictive Analysis of Chikungunya. - Hazel Doughty, Nour Karessli, Kathryn Leonard, Boyi Li, Carianne Martinez, Azadeh Mobasher, Arsha Nagrani, Srishti Yadav:
WiCV 2020: The Seventh Women In Computer Vision Workshop. - Sayed Erfan Arefin:
Second Hand Price Prediction for Tesla Vehicles. - Rui Sun, Weidong Wang, Li Chen, Guo Wei, Wenyi Zhang:
Diagnosis of Intelligent Reflecting Surface in Millimeter-wave Communication Systems. - Wolfgang Fuhl, Nikolai Sanamrad, Enkelejda Kasneci:
The Gaze and Mouse Signal as additional Source for User Fingerprints in Browser Applications. - Felix Denzinger, Michael Wels, Christian Hopfgartner, Jing Lu, Max Schöbinger, Andreas Maier, Michael Sühling:
Coronary Plaque Analysis for CT Angiography Clinical Research. - Petr A. Golovach, Christian Komusiewicz, Dieter Kratsch, Van Bang Le:
Refined Notions of Parameterized Enumeration Kernels with Applications to Matching Cut Enumeration. - Laura Coconea, Miha Cimperman, Tobias Jacobs:
ITS and Real Time Cross Border Logistic Operations Optimization. - Zhongqiang Ren, Sivakumar Rathinam, Howie Choset:
Multi-objective Conflict-based Search for Multi-agent Path Finding. - The-Phuc Nguyen, Stéphane Lathuilière, Elisa Ricci:
Multi-Domain Image-to-Image Translation with Adaptive Inference Graph. - Arve Gengelbach, Johannes Åman Pohjola, Tjark Weber:
Mechanisation of Model-theoretic Conservative Extension for HOL with Ad-hoc Overloading. 1-17 - Petros Papapanagiotou, Jacques D. Fleuriot:
Object-Level Reasoning with Logics Encoded in HOL Light. 18-34 - Tarmo Uustalu, Niccolò Veltri, Noam Zeilberger:
Deductive Systems and Coherence for Skew Prounital Closed Categories. 35-53 - Bruno Barras, Valentin Maestracci:
Implementation of Two Layers Type Theory in Dedukti and Application to Cubical Type Theory. 54-67 - Max Aliapoulios, Emmi Bevensee, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Savvas Zannettou:
An Early Look at the Parler Online Social Network. - Shuangyang Li, Weijie Yuan, Zhiqiang Wei, Jinhong Yuan:
Cross Domain Iterative Detection for Orthogonal Time Frequency Space Modulation. - Lucas N. Egidio, Anders Hansson:
On the Search for Equilibrium Points of Switched Affine Systems. - Ziyi Liu, Jie Yang, Mengchen Lin, Kenneth Kam Fai Lai, Svetlana N. Yanushkevich, Orly Yadid-Pecht:
WDR FACE: The First Database for Studying Face Detection in Wide Dynamic Range. - Kyla Chasalow, Karen Levy:
Representativeness in Statistics, Politics, and Machine Learning. - Panpan Cai, David Hsu:
Closing the Planning-Learning Loop with Application to Autonomous Driving in a Crowd. - Frank Nielsen:
On information projections between multivariate elliptical and location-scale families. - Qing Yang, Hao Wang:
Privacy-Preserving Transactive Energy Management for IoT-aided Smart Homes via Blockchain. - Yejin Bang, Etsuko Ishii, Samuel Cahyawijaya, Ziwei Ji, Pascale Fung:
Model Generalization on COVID-19 Fake News Detection. - Alexander Shknevsky, Yuval Shahar, Robert Moskovitch:
The Semantic Adjacency Criterion in Time Intervals Mining. - Omar Javed, Salman Toor:
Understanding the Quality of Container Security Vulnerability Detection Tools. - Donya Ramezanian, Arash G. Nouri, Hessam Babaee:
On-the-fly Reduced Order Modeling of Passive and Reactive Species via Time-Dependent Manifolds. - Haikuan Du, Hui Cao, Shen Cai, Junchi Yan, Siyu Zhang:
Spherical Transformer: Adapting Spherical Signal to CNNs. - Antoine Garcon, Julian Vexler, Dmitry Budker, Stefan Kramer:
Deep Neural Networks to Recover Unknown Physical Parameters from Oscillating Time Series. - Johannes Kromer, Dieter Bothe:
Face-based Volume-of-Fluid interface positioning in arbitrary polyhedra. - Péter Bayer, György Kozics, Nóra Gabriella Szoke:
Best-response dynamics in directed network games. - Luisa M. Zintgraf, Sam Devlin, Kamil Ciosek, Shimon Whiteson, Katja Hofmann:
Deep Interactive Bayesian Reinforcement Learning via Meta-Learning. - Szymon Torunczyk, Thomas Zeume:
Register Automata with Extrema Constraints, and an Application to Two-Variable Logic. - Michele Finelli:
How many years can a tiny unbalanced parenthesis go unnoticed on a widely accessed Internet document, older than the World Wide Web itself ? - Rayyan Ahmad Khan, Muhammad Umer Anwaar, Omran Kaddah, Martin Kleinsteuber:
Variational Embeddings for Community Detection and Node Representation. - Eduardo Reck Miranda:
On Interfacing the Brain with Quantum Computers: An Approach to Listen to the Logic of the Mind. - Jiesen Wang, Yoni Nazarathy, Thomas Taimre:
The Value of Information and Efficient Switching in Channel Selection. - Litian Liu, Amit Solomon, Salman Salamatian, Muriel Médard:
Neural Network Coding. - Ben Ashby, Cassiano Bortolozo, Alex Lukyanov, Tristan Pryer:
Adaptive modelling of variably saturated seepage problems. - Xiangyu Li, Yonghong Hou, Pichao Wang, Zhimin Gao, Mingliang Xu, Wanqing Li:
Trear: Transformer-based RGB-D Egocentric Action Recognition. - Sourav Ghosh, Sourabh Vasant Gothe, Chandramouli Sanchi, Barath Raj Kandur Raja:
edATLAS: An Efficient Disambiguation Algorithm for Texting in Languages with Abugida Scripts. - Sandareka Wickramanayake, Wynne Hsu, Mong-Li Lee:
Learning Semantically Meaningful Features for Interpretable Classifications. - Anugrah Akbar Praramadhan, Guntur Eka Saputra:
Cycle Generative Adversarial Networks Algorithm With Style Transfer For Image Generation. - Michalis Lazarou, Bo Li, Tania Stathaki:
A novel shape matching descriptor for real-time hand gesture recognition. - Andreas Bär, Jonas Löhdefink, Nikhil Kapoor, Serin J. Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing. - Oswin Aichholzer, Alan Arroyo, Zuzana Masárová, Irene Parada, Daniel Perz, Alexander Pilz, Josef Tkadlec, Birgit Vogtenhuber:
On Compatible Matchings. - Shaofei Huang, Si Liu, Tianrui Hui, Jizhong Han, Bo Li, Jiashi Feng, Shuicheng Yan:
ORDNet: Capturing Omni-Range Dependencies for Scene Parsing. - Gérard Meurant, Jan Papez, Petr Tichý:
Accurate error estimation in CG. - Rocsildes Canoy, Victor Bucarey, Jayanta Mandi, Tias Guns:
Learn-n-Route: Learning implicit preferences for vehicle routing. - Emma Rocheteau, Catherine Tong, Petar Velickovic, Nicholas D. Lane, Pietro Liò:
Predicting Patient Outcomes with Graph Representation Learning. - Haonan Wu, Rajarshi Banerjee, Indhumathi Venkatachalam, Daniel Percy-Hughes, Praveen Chougale:
Impact of Interventional Policies Including Vaccine on Covid-19 Propagation and Socio-Economic Factors. - Rob P. Stevenson, Raymond van Venetië, Jan Westerdiep:
A wavelet-in-time, finite element-in-space adaptive method for parabolic evolution equations. - Dan Crisan, Alexander Lobbe, Salvador Ortiz-Latorre:
Pathwise approximations for the solution of the non-linear filtering problem. - John D. Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real, Sergey Levine, Quoc V. Le, Honglak Lee, Aleksandra Faust:
Evolving Reinforcement Learning Algorithms. - William Fedus, Barret Zoph, Noam Shazeer:
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity. - Sourabh Vasant Gothe, Sourav Ghosh, Sharmila Mani, Bhanodai Guggilla, Ankur Agarwal, Chandramouli Sanchi:
Language Detection Engine for Multilingual Texting on Mobile Devices. - Wenhao Fan, Liang Zhao, Jiayang Wang, Ye Chen, Fan Wu, Yuan'an Liu:
FamDroid: Learning-Based Android Malware Family Classification Using Static Analysis. - Sharmila Mani, Sourabh Vasant Gothe, Sourav Ghosh, Ajay Kumar Mishra, Prakhar Kulshreshtha, Bhargavi M, Muthu Kumaran:
Real-Time Optimized N-gram For Mobile Devices. - Dakuo Wang, Q. Vera Liao, Yunfeng Zhang, Udayan Khurana, Horst Samulowitz, Soya Park, Michael J. Muller, Lisa Amini:
How Much Automation Does a Data Scientist Want? - Terrence W. K. Mak, Ferdinando Fioretto, Pascal Van Hentenryck:
Load Embeddings for Scalable AC-OPF Learning. - Bartlomiej Dudek, Pawel Gawrychowski, Karol Pokorski:
Strictly In-Place Algorithms for Permuting and Inverting Permutations. - Takahiro Kubo, Chisa Takano, Masaki Aida:
Evaluation of User Dynamics Created by Weak Ties among Divided Communities. - Boshko Koloski, Timen Stepisnik Perdih, Senja Pollak, Blaz Skrlj:
Identification of COVID-19 related Fake News via Neural Stacking. - Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic, Siddha Ganju, Dava Newman, Sujoy Ganguly, Danny Lange, Atilim Günes Baydin, Amit Sharma, Adam Gibson, Yarin Gal, Eric P. Xing, Chris Mattmann, James Parr:
Technology Readiness Levels for Machine Learning Systems. - Baichuan Mo, Zhan Zhao, Haris N. Koutsopoulos, Jinhua Zhao:
Individual Mobility Prediction: An Interpretable Activity-based Hidden Markov Approach. - Aakash Bansal, Zachary Eberhart, Lingfei Wu, Collin McMillan:
A Neural Question Answering System for Basic Questions about Subroutines. - Florian Meyer, Volker Turau:
QMA: A Ressource-efficient, Q-Learning-based Multiple Access Scheme for the IIoT. - Apurva Wani, Isha Joshi, Snehal Ishwar Khandve, Vedangi Wagh, Raviraj Joshi:
Evaluating Deep Learning Approaches for Covid19 Fake News Detection. - Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Riccardo Miotto, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg:
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients. - Antonio Lieto, Gian Luca Pozzato, Stefano Zoia, Viviana Patti, Rossana Damiano:
A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classification. - Malte S. Kurz:
Distributed Double Machine Learning with a Serverless Architecture. - Guanting Liu, Yujie Zhong, Sheng Guo, Matthew R. Scott, Weilin Huang:
Unchain the Search Space with Hierarchical Differentiable Architecture Search. - Ritam Mallick, Seba Susan, Vaibhaw Agrawal, Rizul Garg, Prateek Rawal:
Context- and Sequence-Aware Convolutional Recurrent Encoder for Neural Machine Translation. - Xinzi Sun, Dechun Wang, Chenxi Zhang, Pengfei Zhang, Zinan Xiong, Yu Cao, Benyuan Liu, Xiaowei Liu, Shuijiao Chen:
Colorectal Polyp Detection in Real-world Scenario: Design and Experiment Study. - Jesse Josua Benjamin, Arne Berger, Nick Merrill, James Pierce:
Machine Learning Uncertainty as a Design Material: A Post-Phenomenological Inquiry. - Raphaël Dang-Nhu, Angelika Steger:
Evaluating Disentanglement of Structured Latent Representations. - Yiming Xu, Akil Narayan:
Randomized weakly admissible meshes. - Linda Helen Boedi, Helmut Grabner:
Learning to Ignore: Fair and Task Independent Representations. - Shutang You:
Optimize the Co-expansion of Generation and Transmission Considering Wind Power in the US Eastern Interconnection. - Tun Zhu, Daoxin Zhang, Tianran Wang, Xiaolong Jiang, Jiawei Li, Yao Hu, Jianke Zhu:
Horizontal-to-Vertical Video Conversion. - (Withdrawn) Anomaly Detection for Aggregated Data Using Multi-Graph Autoencoder.
- Shutang You:
Frequency Response Assessment of U.S. Power Grids in High PV Penetration. - Lígia Mori Madeira, Bernardo Alves Furtado, Alan Rafael Dill:
VIDA: A simulation model of domestic VIolence in times of social DistAncing. - Xintao Wang, Yu Li, Honglun Zhang, Ying Shan:
Towards Real-World Blind Face Restoration with Generative Facial Prior. - Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene:
Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization. - Shwetha Bharadwaj, Melanie Laffin:
Automating the Compilation of Potential Core-Outcomes for Clinical Trials. - An Nguyen, Stefan Foerstel, Thomas Kittler, Andrey Kurzyukov, Leo Schwinn, Dario Zanca, Tobias Hipp, Da Jun Sun, Michael Schrapp, Eva Rothgang, Bjoern M. Eskofier:
System Design for a Data-driven and Explainable Customer Sentiment Monitor. - Jeremy Speth, Nathan Vance, Patrick J. Flynn, Kevin W. Bowyer, Adam Czajka:
Remote Pulse Estimation in the Presence of Face Masks. - Sergio Blanes, Fernando Casas, Philippe Chartier, Alejandro Escorihuela-Tomas:
On symmetric-conjugate composition methods in the numerical integration of differential equations. - Wilmer Ricciotti, James Cheney:
Query Lifting: Language-integrated query for heterogeneous nested collections. - Kripasindhu Sarkar, Dushyant Mehta, Weipeng Xu, Vladislav Golyanik, Christian Theobalt:
Neural Re-Rendering of Humans from a Single Image. - Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg:
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. - Zijian Zhang, Koustav Rudra, Avishek Anand:
Explain and Predict, and then Predict again. - Henrik Hoeiness, Axel Harstad, Gerald Friedland:
From Tinkering to Engineering: Measurements in Tensorflow Playground. - Ramchandra Joshi, Rushabh Karnavat, Kaustubh Jirapure, Raviraj Joshi:
Evaluation of Deep Learning Models for Hostility Detection in Hindi Text. - Po-Ting Lai, Zhiyong Lu:
BERT-GT: Cross-sentence n-ary relation extraction with BERT and Graph Transformer. - Yao Fu, Yipeng Zhou, Di Wu, Shui Yu, Yonggang Wen, Chao Li:
On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times. - Ruiyang Xu, Prashank Kadam, Karl J. Lieberherr:
First-Order Problem Solving through Neural MCTS based Reinforcement Learning. - Monir Shaker, Fereidoon Shams Aliee, Reza Fotohi:
Online rating system development using blockchain-based distributed ledger technology. - Michela Meister, Sloan Nietert:
Learning with Comparison Feedback: Online Estimation of Sample Statistics. - Ondrej Biza, Dian Wang, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong:
Action Priors for Large Action Spaces in Robotics. - Andreas Bock, Colin J. Cotter:
A note on error analysis for a nonconforming discretisation of the tri-Helmholtz equation with singular data. - Ariel Keller Rorabaugh, Silvina Caíno-Lores, Michael R. Wyatt II, Travis Johnston, Michela Taufer:
PEng4NN: An Accurate Performance Estimation Engine for Efficient Automated Neural Network Architecture Search. - Jenn-Bing Ong, Wee Keong Ng, Ivan Tjuawinata, Chao Li, Jielin Yang, Sai None Myne, Huaxiong Wang, Kwok-Yan Lam, C.-C. Jay Kuo:
Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation. - Anca Maria Tache, Mihaela Gaman, Radu Tudor Ionescu:
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set. - Behzad Javaheri:
Where you live matters: a spatial analysis of COVID-19 mortality. - Eric Goles, Pedro Montealegre, Kévin Perrot:
Freezing sandpiles and Boolean threshold networks: equivalence and complexity. - Akshay Rangesh, Pranav Maheshwari, Mez Gebre, Siddhesh Mhatre, Vahid Ramezani, Mohan M. Trivedi:
TrackMPNN: A Message Passing Graph Neural Architecture for Multi-Object Tracking. - Yue Zhao, Zhi Qiao, Cao Xiao, Lucas Glass, Jimeng Sun:
PyHealth: A Python Library for Health Predictive Models. - Ömer Sümer, Patricia Goldberg, Sidney D'Mello, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci:
Multimodal Engagement Analysis from Facial Videos in the Classroom. - Verónica Quintuna Rodriguez, Fabrice Guillemin, Alexandre Ferrieux, Laurent Thomas:
Cloud-RAN functional split for an efficient fronthaul network. - Luca Manneschi, Matthew O. A. Ellis, Guido Gigante, Andrew C. Lin, Paolo Del Giudice, Eleni Vasilaki:
Exploiting Multiple Timescales in Hierarchical Echo State Networks. - Shruti Jadon, Jan Kanty Milczek, Ajit Patnakar:
Challenges and approaches to time-series forecasting in data center telemetry: A Survey. - Arif Usta, Akifhan Karakayali, Özgür Ulusoy:
DBTagger: Multi-Task Learning for Keyword Mapping in NLIDBs Using Bi-Directional Recurrent Neural Networks. - N. V. Jagtap, Maruti Kumar Mudunuru, K. B. Nakshatrala:
A deep learning modeling framework to capture mixing patterns in reactive-transport systems. - Evgeny Lagutin, Daniil Gavrilov, Pavel Kalaidin:
Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning. - Sumedha Singla, Brian Pollack, Stephen Wallace, Kayhan Batmanghelich:
Explaining the Black-box Smoothly- A Counterfactual Approach. - Constantinos Daskalakis, Dylan J. Foster, Noah Golowich:
Independent Policy Gradient Methods for Competitive Reinforcement Learning. - Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot:
Solving Common-Payoff Games with Approximate Policy Iteration. - Sodiq Adewole, Philip Fernandez, Michelle Yeghyayan, James A. Jablonski, Andrew Copland, Michael D. Porter, Sana Syed, Donald E. Brown:
Lesion2Vec: Deep Metric Learning for Few-Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy Video. - Allen Kim, Steven Skiena:
Maximizing the Expected Value of a Lottery Ticket: How to Sell and When to Buy. - Asaf Noy, Yi Xu, Yonathan Aflalo, Rong Jin:
On the Convergence of Deep Networks with Sample Quadratic Overparameterization. - Mohammed Bahutair, Athman Bouguettaya, Azadeh Ghari Neiat:
Multi-Perspective Trust Management Framework for Crowdsourced IoT Services. - Ajay Bangalore Harish, Abhishek Rajendra Prasad:
Automated 3D solid reconstruction from 2D CAD using OpenCV. - Rachael Zehrung, Astha Singhal, Michael Correll, Leilani Battle:
Vis Ex Machina: An Analysis of Trust in Human versus Algorithmically Generated Visualization Recommendations. - Dominic Widdows, Kirsty Kitto, Trevor Cohen:
Quantum Mathematics in Artificial Intelligence. - Joosung Lee:
Transforming Multi-Conditioned Generation from Meaning Representation. - Bodo Rueckauer, Connor Bybee, Ralf Goettsche, Yashwardhan Singh, Joyesh Mishra, Andreas Wild:
NxTF: An API and Compiler for Deep Spiking Neural Networks on Intel Loihi. - Upinder Kaur, Praveen Abbaraju, Harrison McCarty, Richard M. Voyles:
Clutter Slices Approach for Identification-on-the-fly of Indoor Spaces. - Jiahui Xu, Ling Chen, Mingqi Lv, Chaoqun Zhan, Sanjian Chen, Jian Chang:
HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method. - Yi Liu, Shuiwang Ji:
CleftNet: Augmented Deep Learning for Synaptic Cleft Detection from Brain Electron Microscopy. - Yan Han, Chongyan Chen, Ahmed H. Tewfik, Ying Ding, Yifan Peng:
Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning. - Kelly Mack, Emma McDonnell, Dhruv Jain, Lucy Lu Wang, Jon E. Froehlich, Leah Findlater:
What Do We Mean by "Accessibility Research"? A Literature Survey of Accessibility Papers in CHI and ASSETS from 1994 to 2019. - Geng Chen, Peirong Guo:
Enhanced Information Fusion Network for Crowd Counting. - Nathan Louis, Luowei Zhou, Steven J. Yule, Roger D. Dias, Milisa Manojlovich, Francis D. Pagani, Donald S. Likosky, Jason J. Corso:
Temporally Guided Articulated Hand Pose Tracking in Surgical Videos. - Huimin Peng:
A Brief Survey of Associations Between Meta-Learning and General AI. - Wei Min, Weiming Liang, Hang Yin, Zhurong Wang, Mei Li, Alok Lal:
Explainable Deep Behavioral Sequence Clustering for Transaction Fraud Detection. - Haokui Zhang, Chengrong Gong, Yunpeng Bai, Zongwen Bai, Ying Li:
3D-ANAS: 3D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification. - Anamaria Crisan, Brittany Fiore-Gartland:
Fits and Starts: Enterprise Use of AutoML and the Role of Humans in the Loop. - Shuya Liu, Wei-Lun Huang, Chad R. Gordon, Mehran Armand:
A Robotic System for Implant Modification in Single-stage Cranioplasty. - Lai Wei, Andrew McDonald, Vaibhav Srivastava:
Regret Analysis of Distributed Gaussian Process Estimation and Coverage. - Zheng Ge, Jianfeng Wang, Xin Huang, Songtao Liu, Osamu Yoshie:
LLA: Loss-aware Label Assignment for Dense Pedestrian Detection. - Wolfgang Fuhl, Enkelejda Kasneci:
A Multimodal Eye Movement Dataset and a Multimodal Eye Movement Segmentation Analysis. - Alsharif Abuadbba, Hyoungshick Kim, Surya Nepal:
DeepiSign: Invisible Fragile Watermark to Protect the Integrityand Authenticity of CNN. - Bo Yang, Kaiyong Xu, Hengjun Wang, Hengwei Zhang:
Random Transformation of Image Brightness for Adversarial Attack. - Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Negative Feedback. - Yunhe Feng, Wenjun Zhou:
Seed Stocking Via Multi-Task Learning. - Khaled Alanezi, Xinyang Zhou, Lijun Chen, Shivakant Mishra:
Panorama: A Framework to Support Collaborative Context Monitoring on Co-Located Mobile Devices. - Jafar Norolahi, Paeiz Azmi:
Blind Modulation Classification via Combined Machine Learning and Signal Feature Extraction. - Geong Sen Poh, Dinil Mon Divakaran, Hoon Wei Lim, Jianting Ning, Achintya Desai:
A Survey of Privacy-Preserving Techniques for Encrypted Traffic Inspection over Network Middleboxes. - Haim Kaplan, Jay Tenenbaum:
Locality Sensitive Hashing for Efficient Similar Polygon Retrieval. - Xuanyu He, Wei Zhang, Ran Song, Xiangyuan Lan:
Take More Positives: A Contrastive Learning Framework for Unsupervised Person Re-Identification. - Hao Yu, Huanyu Wang, Jianxin Wu:
Mixup Without Hesitation. - Deyuan Meng, Yuxin Wu:
From Control to Mathematics-Part I: Controllability-Based Design for Iterative Methods in Solving Linear Equations. - Tejumade Afonja, Konstantin Klemmer, Aya Salama, Paula Rodriguez Diaz, Niveditha Kalavakonda, Oluwafemi Azeez:
Proceedings of the NeurIPS 2020 Workshop on Machine Learning for the Developing World: Improving Resilience. - Chang-Jen Wang, Chao-Kai Wen, Shang-Ho Tsai, Shi Jin, Geoffrey Ye Li:
Phase Retrieval using Expectation Consistent Signal Recovery Algorithm based on Hypernetwork. - Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala:
Automated Detection of Patellofemoral Osteoarthritis from Knee Lateral View Radiographs Using Deep Learning: Data from the Multicenter Osteoarthritis Study (MOST). - Li Li, Yang Yu, Xiuxian Li, Lihua Xie:
Exponential convergence of distributed optimization for heterogeneous linear multi-agent systems. - Karina Vasquez, Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda:
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks. - Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Ion Androutsopoulos:
Neural Contract Element Extraction Revisited. - Gustavo Penha, Claudia Hauff:
On the Calibration and Uncertainty of Neural Learning to Rank Models. - Tao Zhang, Quanyan Zhu:
On the Differential Private Data Market: Endogenous Evolution, Dynamic Pricing, and Incentive Compatibility. - Daniel Russo, Paul H. P. Hanel, Seraphina Altnickel, Niels van Berkel:
The Daily Life of Software Engineers during the COVID-19 Pandemic. - Thulitha Senevirathna, Bathiya Thennakoon, Tharindu Sankalpa, Chatura Seneviratne, Samad Ali, Nandana Rajatheva:
Event-Driven Source Traffic Prediction in Machine-Type Communications Using LSTM Networks. - Jiajia Guo, Chao-Kai Wen, Shi Jin:
CAnet: Uplink-aided Downlink Channel Acquisition in FDD Massive MIMO using Deep Learning. - Jordão Bragantini, Alexandre X. Falcão, Laurent Najman:
Rethinking Interactive Image Segmentation: Feature Space Annotation. - Luis Badesa, Goran Strbac, Matt Magill, Biljana Stojkovska:
Ancillary services in Great Britain during the COVID-19 lockdown: a glimpse of the carbon-free future. - Meghana Bande, Akshayaa Magesh, Venugopal V. Veeravalli:
Dynamic Spectrum Access using Stochastic Multi-User Bandits. - Michael Witterauf, Dominik Walter, Frank Hannig, Jürgen Teich:
Symbolic Loop Compilation for Tightly Coupled Processor Arrays. - Dariusz R. Kowalski, Miguel A. Mosteiro:
Time and Communication Complexity of Leader Election in Anonymous Networks. - Yujin Huang, Han Hu, Chunyang Chen:
Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps. - Nicola Galesi, Fariba Ranjbar:
Counting and localizing defective nodes by Boolean network tomography. - Dimitris Gkoumas, Qiuchi Li, Shahram Dehdashti, Massimo Melucci, Yijun Yu, Dawei Song:
Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis. - Jun Wang, Yinglu Liu, Yibo Hu, Hailin Shi, Tao Mei:
FaceX-Zoo: A PyTorch Toolbox for Face Recognition. - Emmanuel Raj, Magnus Westerlund, Leonardo Espinosa Leal:
Reliable Fleet Analytics for Edge IoT Solutions. - Quirin Göttl, Dominik G. Grimm, Jakob Burger:
Automated Synthesis of Steady-State Continuous Processes using Reinforcement Learning. - Wenyu Ouyang, Kathryn Lawson, Dapeng Feng, Lei Ye, Chi Zhang, Chaopeng Shen:
Continental-scale streamflow modeling of basins with reservoirs: a demonstration of effectiveness and a delineation of challenges. - Manuel Chica, Juan M. Hernández, Casiano Manrique-de-Lara-Peñate, Raymond Chiong:
An Evolutionary Game Model for Understanding Fraud in Consumption Taxes. - Girija Limaye, Meghana Nasre:
Stable Matchings with Flexible Quotas. - Suhan Shetty, João Silvério, Sylvain Calinon:
Ergodic Exploration using Tensor Train: Applications in Insertion Tasks. - Jorge Beltrán, Carlos Guindel, Fernando García:
Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. - Tanja Auge, Nic Scharlau, Andreas Heuer:
Privacy Aspects of Provenance Queries. - Michael Allen, Kerry Pearn, Tom Monks:
Developing an OpenAI Gym-compatible framework and simulation environment for testing Deep Reinforcement Learning agents solving the Ambulance Location Problem. - Samuel Greenbank, David A. Howey:
Automated feature selection for data-driven models of rapid battery capacity fade and end of life. - Jierun Chen, Song Wen, S.-H. Gary Chan:
Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty. - Gianmarco Cerutti, Renzo Andri, Lukas Cavigelli, Michele Magno, Elisabetta Farella, Luca Benini:
Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices. - Katharina Emmerich, Andrey Krekhov, Sebastian Cmentowski, Jens H. Krüger:
Streaming VR Games to the Broad Audience: A Comparison of the First-Person and Third-Person Perspectives. - Georg Wimmer, Rudolf Schraml, Heinz Hofbauer, Alexander Petutschnigg, Andreas Uhl:
Two-stage CNN-based wood log recognition. - Sahand Rezaei-Shoshtari, Francois Robert Hogan, Michael Jenkin, David Meger, Gregory Dudek:
Learning Intuitive Physics with Multimodal Generative Models. - Sudeep Deepak Shivnikar, Himanshu Arora, Harichandana B. S. S:
A character representation enhanced on-device Intent Classification. - Antonios Saravanos, Stavros Zervoudakis, Dongnanzi Zheng, Neil Stott, Bohdan Hawryluk, Donatella Delfino:
The Hidden Cost of Using Amazon Mechanical Turk for Research. - Amir M. Mir, Evaldas Latoskinas, Sebastian Proksch, Georgios Gousios:
Type4Py: Deep Similarity Learning-Based Type Inference for Python. - Johan De Praeter, Christopher Hollmann, Rickard Sjöberg, Glenn Van Wallendael, Peter Lambert:
Network-Distributed Video Coding. - Yohan Éguillon, Bruno Lacabanne, Damien Tromeur-Dervout:
IFOSMONDI Co-simulation Algorithm with Jacobian-Free Methods in PETSc. - Thomas Lorünser, Benjamin Rainer, Florian Wohner:
Towards a Performance Model for Byzantine Fault Tolerant (Storage) Services. - Kseniya Cherenkova, Djamila Aouada, Gleb Gusev:
PvDeConv: Point-Voxel Deconvolution for Autoencoding CAD Construction in 3D. - Cyril Cayron:
Lattice reduction by cubification. - Yongsheng Zang, Dongming Zhou, Changcheng Wang, Rencan Nie, Yanbu Guo:
UFA-FUSE: A novel deep supervised and hybrid model for multi-focus image fusion. - Victor Eberstein, Jonas Sjöblom, Nikolce Murgovski, Morteza Haghir Chehreghani:
A Unified Framework for Online Trip Destination Prediction. - Sirui Yao, Yoni Halpern, Nithum Thain, Xuezhi Wang, Kang Lee, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel:
Measuring Recommender System Effects with Simulated Users. - Milad Nasr, Shuang Song, Abhradeep Thakurta, Nicolas Papernot, Nicholas Carlini:
Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning. - Taoufik Yeferny, Sofian Hamad:
Vehicular Ad-hoc Networks: Architecture, Applications and Challenges. - Antonela Tommasel, J. Andres Diaz-Pace, Juan Manuel Rodriguez, Daniela Godoy:
Capturing social media expressions during the COVID-19 pandemic in Argentina and forecasting mental health and emotions. - Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Richard Yi Da Xu:
Resolution-invariant Person ReID Based on Feature Transformation and Self-weighted Attention. - Sumu Zhao, Damian Pascual, Gino Brunner, Roger Wattenhofer:
Of Non-Linearity and Commutativity in BERT. - Donatella Occorsio, Woula Themistoclakis:
Some remarks on filtered polynomial interpolation at Chebyshev nodes. - Dongfang Li, Hongyu Qin, Jiwei Zhang:
Sharp pointwise-in-time error estimate of L1 scheme for nonlinear subdiffusion equations. - Vinod S. Khandkar, Manjesh Kumar Hanawal:
Masking Host Identity on Internet: Encrypted TLS/SSL Handshake. - Pengyang Li, Donghui Wang:
Fine-grained Semantic Constraint in Image Synthesis. - Levi Kapllani, Chelsea Amanatides, Geneviève Dion, Vadim Shapiro, David E. Breen:
TopoKnit : A Process-Oriented Representation for Modeling the Topology of Yarns in Weft-Knitted Textiles. - Wei Peng, Tuomas Varanka, Abdelrahman Mostafa, Henglin Shi, Guoying Zhao:
Hyperbolic Deep Neural Networks: A Survey. - Lingkun Luo, Liming Chen, Shiqiang Hu:
Discriminative Noise Robust Sparse Orthogonal Label Regression-based Domain Adaptation. - Juan Rodriguez Basignana, Carolina Asuaga:
The audiovisual resource as a pedagogical tools in times of covid 19. An empirical analysis of its efficiency. - Christian Wilms, Simone Frintrop:
Superpixel-based Refinement for Object Proposal Generation. - José Luis Hernández Ramos, Georgios Karopoulos, Dimitris Geneiatakis, Tania Martin, Georgios Kambourakis, Igor Nai Fovino:
Sharing pandemic vaccination certificates through blockchain: Case study and performance evaluation. - Ilshat Sagitov, Pascal Giard:
An Early-Stopping Mechanism for DSCF Decoding of Polar Codes. - Shutang You:
Quantify Change of Inertia and Its Distribution in High Renewable Power Grids Using PMU. - Roland Pulch, Maha Youssef:
Machine Learning for Initial Value Problems of Parameter-Dependent Dynamical Systems. - Lotte Weedage, Nelly Litvak, Clara Stegehuis:
Locating highly connected clusters in large networks with HyperLogLog counters. - Tiandong Wang, Panpan Zhang:
Directed Hybrid Random Networks Mixing Preferential Attachment with Uniform Attachment Mechanisms. - Michal Bravansky, Jan Platos:
Měj Přehled / Be informed. - Jiele Wu, Chau-Wai Wong, Xinyan Zhao, Xianpeng Liu:
Toward Effective Automated Content Analysis via Crowdsourcing. - Zhi Hong, J. Gregory Pauloski, Logan T. Ward, Kyle Chard, Ben Blaiszik, Ian T. Foster:
AI- and HPC-enabled Lead Generation for SARS-CoV-2: Models and Processes to Extract Druglike Molecules Contained in Natural Language Text. - Anson Miu, Francisco Ferreira, Nobuko Yoshida, Fangyi Zhou:
Communication-Safe Web Programming in TypeScript with Routed Multiparty Session Types. - Stefan Cassar, Adrian Muscat, Dylan Seychell:
Predicting Relative Depth between Objects from Semantic Features. - Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia:
Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service. - Fares Ben Slimane, Mohamed Bouguessa:
Context Matters: Self-Attention for Sign Language Recognition. - Fedor V. Fomin, Petr A. Golovach, Fahad Panolan, Geevarghese Philip, Saket Saurabh:
Diverse Collections in Matroids and Graphs. - Thijs E. Nassi, Wolfgang Ganglberger, Haoqi Sun, Abigail A. Bucklin, Siddharth Biswal, Michel J. A. M. van Putten, Robert J. Thomas, M. Brandon Westover:
Automated Respiratory Event Detection Using Deep Neural Networks. - Sumit Jha, Mohamed F. Marzban, Tiancheng Hu, Mohamed Hany Mahmoud, Naofal Al-Dhahir, Carlos Busso:
The Multimodal Driver Monitoring Database: A Naturalistic Corpus to Study Driver Attention. - Filip Ilievski, Alessandro Oltramari, Kaixin Ma, Bin Zhang, Deborah L. McGuinness, Pedro A. Szekely:
Dimensions of Commonsense Knowledge. - Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger:
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators. - Mingde Zheng, Michael S. Crouch, Michael S. Eggleston:
Surface Electromyography as a Natural Human-Machine Interface: A Review. - Himadri Basu, Francesco Ferrante, Se Young Pablo Yoon:
LMI-Based Control Design for Output Regulation Problem of Linear Systems in the Presence of Limited Measurement Streams. - Arbaz Khan, Manil T. Mohan, Ricardo Ruiz-Baier:
Conforming, nonconforming and DG methods for the stationary generalized Burgers- Huxley equation. - Angeliki Giannou, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos:
From Learning with Partial Information to Bandits: Only Strict Nash Equilibria are Stable. - Desiree Maldonado Carvalho, Mariá C. V. Nascimento:
Hybrid matheuristics to solve the integrated lot sizing and scheduling problem on parallel machines with sequence-dependent and non-triangular setup. - Matthias Frey, Igor Bjelakovic, Slawomir Stanczak:
Over-The-Air Computation in Correlated Channels. - Daniel Osaku, Jancarlo F. Gomes, Alexandre X. Falcão:
Convolutional Neural Network Simplification with Progressive Retraining. - Han Zhang, Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang:
Cross-Modal Contrastive Learning for Text-to-Image Generation. - Xuebin Qin, Deng-Ping Fan, Chenyang Huang, Cyril Diagne, Zichen Zhang, Adrià Cabeza Sant'Anna, Albert Suàrez, Martin Jägersand, Ling Shao:
Boundary-Aware Segmentation Network for Mobile and Web Applications. - David Torpey, Richard Klein:
Explicit homography estimation improves contrastive self-supervised learning. - Yihao Sun, Jeffrey Ching, Kristopher K. Micinski:
Declarative Demand-Driven Reverse Engineering. - Upol Ehsan, Q. Vera Liao, Michael J. Muller, Mark O. Riedl, Justin D. Weisz:
Expanding Explainability: Towards Social Transparency in AI systems. - Hossein Rajaby Faghihi, Roshanak Mirzaee, Sudarshan Paliwal, Parisa Kordjamshidi:
Latent Alignment of Procedural Concepts in Multimodal Recipes. - Zhiyuan Fang, Jianfeng Wang, Lijuan Wang, Lei Zhang, Yezhou Yang, Zicheng Liu:
SEED: Self-supervised Distillation For Visual Representation. - Ben Abbatematteo, Eric Rosen, Stefanie Tellex, George Dimitri Konidaris:
Bootstrapping Motor Skill Learning with Motion Planning. - Jaehyuk Park, Bogdan State, Monica Bhole, Michael C. Bailey, Yong-Yeol Ahn:
People, Places, and Ties: Landscape of social places and their social network structures. - Johannes Köhler, Frank Allgöwer:
Stability and performance in MPC using a finite-tail cost. - Qi Feng, Vitaly Ablavsky, Stan Sclaroff:
CityFlow-NL: Tracking and Retrieval of Vehicles at City Scale by Natural Language Descriptions. - Eric Atkinson, Michael Carbin:
Programming and Reasoning with Partial Observability. - Yixuan Zhang, Yifan Sun, Lace M. K. Padilla, Sumit Barua, Enrico Bertini, Andrea G. Parker:
Mapping the Landscape of COVID-19 Crisis Visualizations. - Xiaoli Feng, Meixia Zhao, Peijun Li, Xu Wang:
An inverse source problem for the stochastic wave equation. - Opeoluwa Owoyele, Pinaki Pal:
A Neural Ordinary Differential Equations Approach for Chemical Kinetics Solvers. - Matt Peng, Banghua Zhu, Jiantao Jiao:
Linear Representation Meta-Reinforcement Learning for Instant Adaptation. - Shahrzad Haddadan, Cristina Menghini, Matteo Riondato, Eli Upfal:
RePBubLik: Reducing the Polarized Bubble Radius with Link Insertions. - Zequn Wei, Jin-Kao Hao:
A threshold search based memetic algorithm for the disjunctively constrained knapsack problem. - Seyedkooshan Hashemifard, Mohammad Akbari:
A Compact Deep Learning Model for Face Spoofing Detection. - Yuyang Wang, Kenji Shimada, Amir Barati Farimani:
Airfoil GAN: Encoding and Synthesizing Airfoils forAerodynamic-aware Shape Optimization. - Muhammad Khalifa, Muhammad Abdul-Mageed, Khaled Shaalan:
Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling. - Dorit S. Hochbaum, Erick Moreno-Centeno:
Joint aggregation of cardinal and ordinal evaluations with an application to a student paper competition. - Mahnush Movahedi, Benjamin M. Case, Andrew Knox, Li Li, Yiming Paul Li, Sanjay Saravanan, Shubho Sengupta, Erik Taubeneck:
Private Randomized Controlled Trials: A Protocol for Industry Scale Deployment. - Ignacio Rodriguez:
Forecasting blood sugar levels in Diabetes with univariate algorithms. - Jan Rüegg, Oliver Wang, Aljoscha Smolic, Markus Gross:
DuctTake: Spatiotemporal Video Compositing. - Yangyong Zhang, Maliheh Shirvanian, Sunpreet S. Arora, Jianwei Huang, Guofei Gu:
Practical Speech Re-use Prevention in Voice-driven Services. - Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal:
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis. - Abhishek Badki, Orazio Gallo, Jan Kautz, Pradeep Sen:
Binary TTC: A Temporal Geofence for Autonomous Navigation. - Saeed Karimi-Bidhendi, Jun Guo, Hamid Jafarkhani:
Energy-Efficient Node Deployment in Static and Mobile Heterogeneous Multi-Hop Wireless Sensor Networks. - Kilian Kleeberger, Markus Völk, Marius Moosmann, Erik Thiessenhusen, Florian Roth, Richard Bormann, Marco F. Huber:
Transferring Experience from Simulation to the Real World for Precise Pick-And-Place Tasks in Highly Cluttered Scenes. - Korneel van den Broek:
MP3net: coherent, minute-long music generation from raw audio with a simple convolutional GAN. - Shushman Choudhury, Jayesh K. Gupta, Peter Morales, Mykel J. Kochenderfer:
Scalable Anytime Planning for Multi-Agent MDPs. - Wilder E. Castellanos:
Evaluation of quality scalability techniques for video transmission. - Yue You, Yubo Kou, Xianghua Ding, Xinning Gui:
The Medical Authority of AI: A Study of AI-enabled Consumer-facing Health Technology. - Yue You, Xinning Gui:
Self-Diagnosis through AI-enabled Chatbot-based Symptom Checkers: User Experiences and Design Considerations. - Dow Drake, Jay Gopalakrishnan, Joachim Schöberl, Christoph Wintersteiger:
Convergence analysis of some tent-based schemes for linear hyperbolic systems. - Ananda Samajdar, Michael Pellauer, Tushar Krishna:
Self-Adaptive Reconfigurable Arrays (SARA): Using ML to Assist Scaling GEMM Acceleration. - Ognjen Rudovic, Nicolas Tobis, Sebastian Kaltwang, Björn W. Schuller, Daniel Rueckert, Jeffrey F. Cohn, Rosalind W. Picard:
Personalized Federated Deep Learning for Pain Estimation From Face Images. - Bruno Clerckx, Yijie Mao, Robert Schober, Eduard A. Jorswieck, David J. Love, Jinhong Yuan, Lajos Hanzo, Geoffrey Ye Li, Erik G. Larsson, Giuseppe Caire:
Is NOMA Efficient in Multi-Antenna Networks? A Critical Look at Next Generation Multiple Access Techniques. - Beatriz Arruda Asfora:
Embedded Computer Vision System Applied to a Four-Legged Line Follower Robot. - Ziyang Yuan, Hui Zhang, Hongxia Wang:
Sparse Sampling Kaczmarz-Motzkin Method with Linear Convergence. - Mircea Trofin, Yundi Qian, Eugene Brevdo, Zinan Lin, Krzysztof Choromanski, David Li:
MLGO: a Machine Learning Guided Compiler Optimizations Framework. - Bruno Clerckx, Kaibin Huang, Lav R. Varshney, Sennur Ulukus, Mohamed-Slim Alouini:
Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing. - Casey Handmer:
Digital Elevation Model enhancement using Deep Learning. - Christos Tsanikidis, Javad Ghaderi:
Randomized Scheduling of Real-Time Traffic in Wireless Networks Over Fading Channels. - Zachary R. Atkins, Christopher J. Vogl, Achintya Madduri, Nan Duan, Agnieszka K. Miedlar, Daniel Merl:
Distribution System Voltage Prediction from Smart Inverters using Decentralized Regression. - Yunqi Li, Shuyuan Xu, Bo Liu, Zuohui Fu, Shuchang Liu, Xu Chen, Yongfeng Zhang:
Discrete Knowledge Graph Embedding based on Discrete Optimization. - MohammadTaghi Hajiaghayi, Marina Knittel:
Improved Hierarchical Clustering on Massive Datasets with Broad Guarantees. - Patricia Johann, Enrico Ghiorzi, Daniel Jeffries:
Parametricity for Nested Types and GADTs. - Ruida Zhou, Chao Tian, Hua Sun, James S. Plank:
Two-Level Private Information Retrieval. - Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento:
Energy-Efficient Distributed Learning Algorithms for Coarsely Quantized Signals. - Dimitris Chatzopoulos, Anurag Jain, Sujit Gujar, Boi Faltings, Pan Hui:
Towards Mobile Distributed Ledgers. - Zhinan Qiao, Xiaohui Yuan:
Urban land-use analysis using proximate sensing imagery: a survey. - Junyoung Byun, Hyojun Go, Changick Kim:
Small Input Noise is Enough to Defend Against Query-based Black-box Attacks. - Doris Xin, Eva Yiwei Wu, Doris Jung Lin Lee, Niloufar Salehi, Aditya G. Parameswaran:
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows. - Sriramya Bhamidipati, Grace Xingxin Gao:
GPS Spoofing Mitigation and Timing Risk Analysis in Networked PMUs via Stochastic Reachability. - Sriramya Bhamidipati, Grace Xingxin Gao:
Robust GPS-Vision Localization via Integrity-Driven Landmark Attention. - Chun Yong Chong, Patanamon Thongtanunam, Chakkrit Tantithamthavorn:
Assessing the Students' Understanding and their Mistakes in Code Review Checklists - An Experience Report of 1, 791 Code Review Checklist Questions from 394 Students. - Ling Zhou, Qirong Mao, Xiaohua Huang, Feifei Zhang, Zhihong Zhang:
Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition. - Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Samson Tan, Jason Wu, Stephan Zheng, Caiming Xiong, Mohit Bansal, Christopher Ré:
Robustness Gym: Unifying the NLP Evaluation Landscape. - Arunesh Mathur, Jonathan R. Mayer, Mihir Kshirsagar:
What Makes a Dark Pattern... Dark? Design Attributes, Normative Considerations, and Measurement Methods. - Senwei Liang, Liyao Lyu, Chunmei Wang, Haizhao Yang:
Reproducing Activation Function for Deep Learning. - Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates:
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. - Ziyang Liu, Zhaomeng Cheng, Yunjiang Jiang, Yue Shang, Wei Xiong, Sulong Xu, Bo Long, Di Jin:
Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search. - Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates:
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. - Yiqin Yu, Pin-Yu Chen, Yuan Zhou, Jing Mei:
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records. - Maxwell Emerson, James M. Ferguson, Tayfun Efe Ertop, Margaret Rox, Josephine Granna, Michael Lester, Fabien Maldonado, Erin A. Gillaspie, Ron Alterovitz, Robert J. Webster III, Alan Kuntz:
A Recurrent Neural Network Approach to Roll Estimation for Needle Steering. - Wenting Ma, Bolun Xu:
A Data-driven Nonlinear Recharge Controller for Energy Storage in Frequency Regulation. - Govind Narasimman, Kangkang Lu, Arun Raja, Chuan Sheng Foo, Mohamed M. Sabry Aly, Jie Lin, Vijay Chandrasekhar:
A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition. - Eric T. Chung, Yalchin Efendiev, Wing Tat Leung, Petr N. Vabishchevich:
Contrast-independent partially explicit time discretizations for multiscale flow problems. - Andrew V. Terekhov:
A three-dimensional Laguerre one-way wave equation solver. - Dian Shi, Liang Li, Rui Chen, Pavana Prakash, Miao Pan, Yuguang Fang:
Towards Energy Efficient Federated Learning over 5G+ Mobile Devices. - Shengli Jiang, Victor M. Zavala:
Convolutional Neural Nets: Foundations, Computations, and New Applications. - A'ang Subiyakto, Rohadatul Aisy, Bernadus Gunawan Sudarsono, Manorang Sihotang, Didik Setiyadi, Asrul Sani:
Empirical Evaluation of User Experience Using Lean Product and Process Development: A Public Institution Case Study in Indonesia. - Xiaoxuan Zhang, Krishna C. Garikipati:
Bayesian neural networks for weak solution of PDEs with uncertainty quantification. - A'ang Subiyakto, Yuliza Rahmi, Nia Kumaladewi, M. Qomarul Huda, Nidaul Hasanati, Tri Haryanto:
Investigating Quality of Institutional Repository Website Design Using Usability Testing Framework. - OpenAI, Matthias Plappert, Raul Sampedro, Tao Xu, Ilge Akkaya, Vineet Kosaraju, Peter Welinder, Ruben D'Sa, Arthur Petron, Henrique Pondé de Oliveira Pinto, Alex Paino, Hyeonwoo Noh, Lilian Weng, Qiming Yuan, Casey Chu, Wojciech Zaremba:
Asymmetric self-play for automatic goal discovery in robotic manipulation. - Paritosh Parmar, Jaiden Reddy, Brendan Morris:
Piano Skills Assessment. - Rishiraj Bhattacharyya, Mridul Nandi, Anik Raychaudhuri:
Crooked Indifferentiability Revisited. - Yuzhou Lin, Xiaolin Chang:
Towards Interpretable Ensemble Learning for Image-based Malware Detection. - Moju Zhao, Tomoki Anzai, Kei Okada, Masayuki Inaba:
Singularity-free Aerial Deformation by Two-dimensional Multilinked Aerial Robot with 1-DoF Vectorable Propeller. - Xiaoyi Zhang, Lilian de Greef, Amanda Swearngin, Samuel White, Kyle I. Murray, Lisa Yu, Qi Shan, Jeffrey Nichols, Jason Wu, Chris Fleizach, Aaron Everitt, Jeffrey P. Bigham:
Screen Recognition: Creating Accessibility Metadata for Mobile Applications from Pixels. - Dongmi Luo, Shiyi Li, Weizhang Huang, Jianxian Qiu, Yibing Chen:
A quasi-conservative DG-ALE method for multi-component flows using the non-oscillatory kinetic flux. - Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang:
Unlearnable Examples: Making Personal Data Unexploitable. - Atharva Kulkarni, Meet Mandhane, Manali Likhitkar, Gayatri Kshirsagar, Jayashree Jagdale, Raviraj Joshi:
Experimental Evaluation of Deep Learning models for Marathi Text Classification. - Ali Ayub, Alan R. Wagner:
EEC: Learning to Encode and Regenerate Images for Continual Learning. - Anuroop Sriram, Matthew J. Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore:
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction. - Niall L. Williams, Aniket Bera, Dinesh Manocha:
ARC: Alignment-based Redirection Controller for Redirected Walking in Complex Environments. - Daniel Diethei, Jasmin Niess, Carolin Stellmacher, Evropi Stefanidi, Johannes Schöning:
Sharing Heartbeats: Motivations of Citizen Scientists in Times of Crises. - Joachim Gudmundsson, Martin P. Seybold:
A Tail Estimate with Exponential Decay for the Randomized Incremental Construction of Search Structures. - Zhongda Chu, Fei Teng:
Short Circuit Current Constrained UC in High IBG-Penetrated Power Systems. - Segwang Kim, Hyoungwook Nam, Joonyoung Kim, Kyomin Jung:
Neural Sequence-to-grid Module for Learning Symbolic Rules. - Mingyu Derek Ma, Jiao Sun, Mu Yang, Kung-Hsiang Huang, Nuan Wen, Shikhar Singh, Rujun Han, Nanyun Peng:
EventPlus: A Temporal Event Understanding Pipeline. - Yu Wu, Linchao Zhu, Xiaohan Wang, Yi Yang, Fei Wu:
Learning to Anticipate Egocentric Actions by Imagination. - Anton Konushin, Boris Faizov, Vlad Shakhuro:
Road images augmentation with synthetic traffic signs using neural networks. - Emmanuel Hartman, Yashil Sukurdeep, Nicolas Charon, Eric Klassen, Martin Bauer:
Supervised deep learning of elastic SRV distances on the shape space of curves. - Zhenpeng Chen, Huihan Yao, Yiling Lou, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Xuanzhe Liu:
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications. - Marcelo Bacher, Irad Ben-Gal, Erez Shmueli:
A Non-Parametric Subspace Analysis Approach with Application to Anomaly Detection Ensembles. - Jing Liu, Bohan Zhuang, Peng Chen, Yong Guo, Chunhua Shen, Jianfei Cai, Mingkui Tan:
ABS: Automatic Bit Sharing for Model Compression. - Franz J. Király, Markus Löning, Anthony D. Blaom, Ahmed Guecioueur, Raphael Sonabend:
Designing Machine Learning Toolboxes: Concepts, Principles and Patterns. - Daniele Antonio Di Pietro, Jérôme Droniou:
An arbitrary-order discrete de Rham complex on polyhedral meshes: Exactness, Poincaré inequalities, and consistency. - (Withdrawn) An arbitrary-order discrete de Rham complex on polyhedral meshes. Part II: Consistency.
- Mohammad Jafar Mashhadi, Foozhan Ataiefard, Hadi Hemmati, Neil Walkinshaw:
Behavioral Model Inference of Black-box Software using Deep Neural Networks. - Abhishek D. Patange, Sharad S. Mulik, R. Jegadeeshwaran, Dhananjay R. Jadhav, Prateek J. Ghatage, Gaurav R. Doshi, Rushikesh V. Raykar:
Modeling and Analysis of Unmanned Remote Guided Vehicle on Rough and Loose Snow Terrain. - Dazhen Deng, Jiang Wu, Jiachen Wang, Yihong Wu, Xiao Xie, Zheng Zhou, Hui Zhang, Xiaolong Luke Zhang, Yingcai Wu:
EventAnchor: Reducing Human Interactions in Event Annotation of Racket Sports Videos. - Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh:
Flow-Loss: Learning Cardinality Estimates That Matter. - Mohammed Azhan, Mohammad Ahmad:
LaDiff ULMFiT: A Layer Differentiated training approach for ULMFiT. - Ieva Staliunaite, Philip John Gorinski, Ignacio Iacobacci:
Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation. - Ming Xu, Jianling Fu, Jingyi Mei, Yuxin Deng:
An Algebraic Method to Fidelity-based Model Checking over Quantum Markov Chains. - Yousef Farid, Fabio Ruggiero:
Finite-time disturbance reconstruction and robust fractional-order controller design for hybrid port-Hamiltonian dynamics of biped robots. - Jean Aymar Biyiha Nlend, Ibrahim Moukouop Nguena, Thomas Bouétou Bouétou:
Large scale deduplication based on fingerprints. - Jasmin Bogatinovski, Sasho Nedelkoski:
Multi-Source Anomaly Detection in Distributed IT Systems. - Zhao Ren, Kun Qian, Fengquan Dong, Zhenyu Dai, Yoshiharu Yamamoto, Björn W. Schuller:
Deep Attention-based Representation Learning for Heart Sound Classification. - Tomer Czyzewski, Nati Daniel, Mark Rochman, Julie M. Caldwell, Garrett A. Osswald, Margaret H. Collins, Marc E. Rothenberg, Yonatan Savir:
Machine learning approach for biopsy-based identification of eosinophilic esophagitis reveals importance of global features. - Jonas Weigand, Nigora Gafur, Martin Ruskowski:
Flatness Based Control of an Industrial Robot Joint Using Secondary Encoders. - Soumya Chatterjee, Ayush Maheshwari, Ganesh Ramakrishnan, Saketha Nath Jagarlapudi:
Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification. - Arkadipta De, Venkatesh Elangovan, Kaushal Kumar Maurya, Maunendra Sankar Desarkar:
Coarse and Fine-Grained Hostility Detection in Hindi Posts using Fine Tuned Multilingual Embeddings. - Maximilian Ernst Tschuchnig, Cornelia Ferner, Stefan Wegenkittl:
Sequential IoT Data Augmentation using Generative Adversarial Networks. - Lina Maria Rojas-Barahona:
Is the User Enjoying the Conversation? A Case Study on the Impact on the Reward Function. - Alexander Marx, Lincen Yang, Matthijs van Leeuwen:
Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms. - Mengting Chen, Xinggang Wang, Heng Luo, Yifeng Geng, Wenyu Liu:
Learning to Focus: Cascaded Feature Matching Network for Few-shot Image Recognition. - Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun:
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels. - Hubert Garavel:
Proposal for Adding Useful Features to Petri-Net Model Checkers. - Giulia Perugia, Maike Paetzel-Prüsmann, Madelene Alanenpää, Ginevra Castellano:
I Can See it in Your Eyes: Gaze towards a Robot as an Implicit Cue of Uncanniness and Task Performance in Long-term Interactions. - Ahmed Elmokashfi, Alfred Arouna, Ioana Livadariu, Mah-Rukh Fida, Amund Kvalbein, Anas Saeed Al-Selwi, Thomas Dreibholz, Haakon Bryhni:
A Multi-Perspective Study of Internet Performance during the COVID-19 Outbreak. - Shengjun Liu, Tao Liu, Qiang Zou, Weiming Wang, Eugeni L. Doubrovski, Charlie C. L. Wang:
Memory-Efficient Modeling and Slicing of Large-Scale Adaptive Lattice Structures. - Thomas Erlebach, Michael Hoffmann, Murilo S. de Lima:
Round-Competitive Algorithms for Uncertainty Problems with Parallel Queries. - Monika Henzinger, Alexander Noe, Christian Schulz:
Practical Fully Dynamic Minimum Cut Algorithms. - Ali Harakeh, Steven L. Waslander:
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors. - Maximilian Ernst Tschuchnig, Dejan Radovanovic, Eduard Hirsch, Anna-Maria Oberluggauer, Georg Schäfer:
Immutable and Democratic Data in permissionless Peer-to-Peer Systems. - Chunyang Zhang, Qing Gao, Jinhu Lv, Yue Deng, Zhiyu Xi:
An Integral Sliding-Mode Parallel Control Approach for General Nonlinear Systems via Piecewise Affine Linear Models. - Adam Mate, Arthur K. Barnes, Russell Bent, Eduardo Cotilla Sanchez:
Analyzing and Mitigating the Impacts of GMD and EMP Events on the Electrical Grid with PowerModelsGMD.jl. - Mahdi Biparva, David Fernández Llorca, Rubén Izquierdo Gonzalo, John K. Tsotsos:
Video action recognition for lane-change classification and prediction of surrounding vehicles. - Nick Hagar, Johannes Wachs, Emoke-Ágnes Horvát:
Publishing patterns reflect political polarization in news media. - Daniele Zonetti, Gilbert Bergna-Diaz, Romeo Ortega, Nima Monshizadeh:
PID passivity-based control of power converters: Large-signal stability, robustness and performance. - Stassa Patsantzis, Stephen H. Muggleton:
Top Program Construction and Reduction for polynomial time Meta-Interpretive Learning. - Manav Kaushik, Van Tung Pham, Eng Siong Chng:
End-to-End Speaker Height and age estimation using Attention Mechanism with LSTM-RNN. - Mikhail V. Berlinkov, Robert Ferens, Andrew Ryzhikov, Marek Szykula:
Synchronizing Strongly Connected Partial DFAs. - Iori Yanokura, Naoki Wake, Kazuhiro Sasabuchi, Katsushi Ikeuchi, Masayuki Inaba:
Understanding Action Sequences based on Video Captioning for Learning-from-Observation. - Angelika Schwarz:
Robust level-3 BLAS Inverse Iteration from the Hessenberg Matrix. - Zehai Yu, Hui Zhu, Linglong Lin, Huawei Liang, Biao Yu, Weixin Huang:
Laser Data Based Automatic Generation of Lane-Level Road Map for Intelligent Vehicles. - Zeinab Zoghi, Gürsel Serpen:
UNSW-NB15 Computer Security Dataset: Analysis through Visualization. - Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus:
Probabilistic Embeddings for Cross-Modal Retrieval. - Tomas Langer, Natalia Fedorova, Ron Hagensieker:
Formatting the Landscape: Spatial conditional GAN for varying population in satellite imagery. - Manal, Ali Hasan Md. Linkon, Md. Mahir Labib, Marium-E. Jannat, Md. Saiful Islam:
Restyling Images with the Bangladeshi Paintings Using Neural Style Transfer: A Comprehensive Experiment, Evaluation, and Human Perspective. - Ali Hasan Md. Linkon, Md. Mahir Labib, Faisal Haque Bappy, Soumik Sarker, Marium-E. Jannat, Md. Saiful Islam:
Deep Learning Approach Combining Lightweight CNN Architecture with Transfer Learning: An Automatic Approach for the Detection and Recognition of Bangladeshi Banknotes. - Patrick Tinsley, Adam Czajka, Patrick J. Flynn:
This Face Does Not Exist ... But It Might Be Yours! Identity Leakage in Generative Models. - Liwei Yuan, Hideaki Ishii:
Secure Consensus with Distributed Detection via Two-hop Communication. - Daniel Hilger, Norbert Hosters, Fabian Key, Stefanie Elgeti, Marek Behr:
A novel approach to fluid-structure interaction simulations involving large translation and contact. - Brian Lee, Brandi Dupervil, Nicholas P. Deputy, Wil Duck, Stephen Soroka, Lyndsay Bottichio, Benjamin Silk, Jason Price, Patricia Sweeney, Jennifer Fuld, Todd Weber, Dan Pollock:
Protecting Privacy and Transforming COVID-19 Case Surveillance Datasets for Public Use. - Fuqi Lin:
Understanding Diffusion of Recurrent Innovations. - Fuqi Lin:
Demystifying Removed Apps in iOS App Store. - Roberto Natella, Van-Thuan Pham:
ProFuzzBench: A Benchmark for Stateful Protocol Fuzzing. - (Withdrawn) F3SNet: A Four-Step Strategy for QIM Steganalysis of Compressed Speech Based on Hierarchical Attention Network.
- Benjamin Congram, Timothy D. Barfoot:
Relatively Lazy: Indoor-Outdoor Navigation Using Vision and GNSS. - Thea Aarrestad, Vladimir Loncar, Maurizio Pierini, Sioni Summers, Jennifer Ngadiuba, Christoffer Petersson, Hampus Linander, Yutaro Iiyama, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Dylan S. Rankin, Sergo Jindariani, Kevin Pedro, Nhan Tran, Mia Liu, Edward Kreinar, Zhenbin Wu, Duc Hoang:
Fast convolutional neural networks on FPGAs with hls4ml. - Oscar Cornejo, Fabrizio Pastore, Lionel C. Briand:
Mutation Analysis for Cyber-Physical Systems: Scalable Solutions and Results in the Space Domain. - Stephen Clark, Alexander Lerchner, Tamara von Glehn, Olivier Tieleman, Richard Tanburn, Misha Dashevskiy, Matko Bosnjak:
Formalising Concepts as Grounded Abstractions. - Michail Palaiologos, Jian Luo, Richard A. Stirling-Gallacher, Giuseppe Caire:
Low Latency Scheduling Algorithms for Full-Duplex V2X Networks. - Shuhan Yan, Yuting Jia, Xinbing Wang:
Overlapping Community Detection in Temporal Text Networks. - Yong Wang:
Secure Process Algebra. - Andrea Bonito, Wenyu Lei:
Approximation of the spectral fractional powers of the Laplace-Beltrami Operator. - Pascal Schweitzer, Constantin Seebach:
Resolution with Symmetry Rule applied to Linear Equations. - Jian Tan, Niv Nayman, Mengchang Wang, Rong Jin:
CobBO: Coordinate Backoff Bayesian Optimization. - Zifeng Ding, Zhen Han, Yunpu Ma, Volker Tresp:
Temporal Knowledge Graph Forecasting with Neural ODE. - David A. Ham:
UFL Dual Spaces, a proposal. - Yifan Zhou, Peng Zhang:
Neuro-Reachability of Networked Microgrids. - Rohith Gandhi Ganesan, Samantha Kappagoda, Giuseppe Loianno, David K. A. Mordecai:
Comparative Analysis of Agent-Oriented Task Assignment and Path Planning Algorithms Applied to Drone Swarms. - B. Mansurov, A. Mansurov:
Uzbek Cyrillic-Latin-Cyrillic Machine Transliteration. - Shutang You:
Use Energy Storage for Primary Frequency Control in Power Grids. - Lina Mezghani, Sainbayar Sukhbaatar, Thibaut Lavril, Oleksandr Maksymets, Dhruv Batra, Piotr Bojanowski, Karteek Alahari:
Memory-Augmented Reinforcement Learning for Image-Goal Navigation. - Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer:
MC-LSTM: Mass-Conserving LSTM. - Maxim Van de Wynckel, Beat Signer:
OpenHPS: An Open Source Hybrid Positioning System. - Wanting Lu, Heping Wang:
On the power of standard information for tractability for L2-approximation in the average case setting. - Peteris Zvejnieks, Mihails Birjukovs, Martins Klevs, Megumi Akashi, Sven Eckert, Andris Jakovics:
MHT-X: Offline Multiple Hypothesis Tracking with Algorithm X. - Frank Dellaert, Yen-Chen Lin:
Neural Volume Rendering: NeRF And Beyond. - Hye Sun Yun, Chang Min Hyun, Seong Hyeon Baek, Sang-Hwy Lee, Jin Keun Seo:
Automated 3D cephalometric landmark identification using computerized tomography. - Dexin Wang, Deyi Xiong:
Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding. - Xinghong Qin, Shunquan Tan, Bin Li, Weixuan Tang, Jiwu Huang:
Image Steganography based on Iteratively Adversarial Samples of A Synchronized-directions Sub-image. - Wenbo Dong, Volkan Isler:
Ellipse Regression with Predicted Uncertainties for Accurate Multi-View 3D Object Estimation. - Firhan Maulana Rusli, Kevin Akbar Adhiguna, Hendy Irawan:
Indonesian ID Card Extractor Using Optical Character Recognition and Natural Language Post-Processing. - Souvik Kundu, Sairam Sundaresan:
AttentionLite: Towards Efficient Self-Attention Models for Vision. - Jonathan Helland, Nathan M. VanHoudnos:
On the human-recognizability phenomenon of adversarially trained deep image classifiers. - Michael Luby, Thomas Richardson:
Distributed storage algorithms with optimal tradeoffs. - Ke-Li Chiu, Rohan Alexander:
On consistency scores in text data with an implementation in R. - HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell:
Robust CUR Decomposition: Theory and Imaging Applications. - Sujoy Bhore, Rahul Jain:
Space-Efficient Algorithms for Reachability in Geometric Graphs. - Tsimboy Olga, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets:
Denoising Score Matching with Random Fourier Features. - Shota Yamanaka, Hiroki Usuba:
Calibration Methods of Touch-Point Ambiguity for Finger-Fitts Law. - Rangeet Mitra, Georges Kaddoum:
Random Fourier Feature Based Deep Learning for Wireless Communications. - Thao Dang, Stefan Ratschan:
Proceedings 6th International Workshop on Symbolic-Numeric methods for Reasoning about CPS and IoT, SNR 2020, online, 31 August 2020. EPTCS 331, 2021 [contents] - Angeliki Koutsoukou-Argyraki, Wenda Li, Lawrence C. Paulson:
Irrationality and Transcendence Criteria for Infinite Series in Isabelle/HOL. - Jialun Aaron Jiang, Charles Kiene, Skyler Middler, Jed R. Brubaker, Casey Fiesler:
Moderation Challenges in Voice-based Online Communities on Discord. - Geoffrey Goodell, Hazem Danny Al-Nakib, Paolo Tasca:
A Digital Currency Architecture for Privacy and Owner-Custodianship. - Nathanael L. Baisa, Zheheng Jiang, Ritesh Vyas, Bryan M. Williams, Hossein Rahmani, Plamen Angelov, Sue Black:
Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning. - Rishabh Agarwal, Marlos C. Machado, Pablo Samuel Castro, Marc G. Bellemare:
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning. - Lisa-Marie Vortmann, Leonid Schwenke, Felix Putze:
Real or Virtual? Using Brain Activity Patterns to differentiate Attended Targets during Augmented Reality Scenarios. - Dakuo Wang, Josh Andres, Justin D. Weisz, Erick Oduor, Casey Dugan:
AutoDS: Towards Human-Centered Automation of Data Science. - Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, Ming-Hsuan Yang:
GAN Inversion: A Survey. - Julie R. Williamson, Jie Li, Vinoba Vinayagamoorthy, David A. Shamma, Pablo César:
Proxemics and Social Interactions in an Instrumented Virtual Reality Workshop. - Han Liu, Vivian Lai, Chenhao Tan:
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making. - Ravid Shwartz-Ziv, Itamar Ben-Ari, Amitai Armon:
Spatial-Temporal Convolutional Network for Spread Prediction of COVID-19. - Éloi Zablocki, Hedi Ben-Younes, Patrick Pérez, Matthieu Cord:
Explainability of vision-based autonomous driving systems: Review and challenges. - Adel Ardalan, Derek Paulsen, Amanpreet Singh Saini, Walter Cai, AnHai Doan:
Toward Data Cleaning with a Target Accuracy: A Case Study for Value Normalization. - Lei Jiang, Farzaneh Zokaee:
EXMA: A Genomics Accelerator for Exact-Matching. - Renke Huang, Yujiao Chen, Tianzhixi Yin, Qiuhua Huang, Jie Tan, Wenhao Yu, Xinya Li, Ang Li, Yan Du:
Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning. - Sébastien Vaucher, Niloofar Yazdani, Pascal Felber, Daniel E. Lucani, Valerio Schiavoni:
ZipLine: In-Network Compression at Line Speed. - Deniz Ozsoyeller, Pratap Tokekar:
Multi-robot Symmetric Rendezvous Search on the Line. - Daniel Honerkamp, Tim Welschehold, Abhinav Valada:
Learning Kinematic Feasibility for Mobile Manipulation through Deep Reinforcement Learning. - Armin Lederer, Jonas Umlauft, Sandra Hirche:
Uniform Error and Posterior Variance Bounds for Gaussian Process Regression with Application to Safe Control. - Sven Fiergolla, Petra Wolf:
Improving Run Length Encoding by Preprocessing. - Prabhjot Kaur, Samira Taghavi, Zhaofeng Tian, Weisong Shi:
A Survey on Simulators for Testing Self-Driving Cars. - Mark Goldstein, Xintian Han, Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath:
X-CAL: Explicit Calibration for Survival Analysis. - Hang Yin, Xinyue Liu, Xiangnan Kong:
Gaussian Mixture Graphical Lasso with Application to Edge Detection in Brain Networks. - Balakumar Balasingam, Krishna R. Pattipati:
On the Identification of Electrical Equivalent Circuit Models Based on Noisy Measurements. - Abdallah Dib, Gaurav Bharaj, Junghyun Ahn, Cédric Thébault, Philippe-Henri Gosselin, Marco Romeo, Louis Chevallier:
Practical Face Reconstruction via Differentiable Ray Tracing. - Mehrshad Zandigohar, Mo Han, Deniz Erdogmus, Gunar Schirner:
Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand. - Melanie F. Pradier, Javier Zazo, Sonali Parbhoo, Roy H. Perlis, Maurizio Zazzi, Finale Doshi-Velez:
Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as Possible. - Osama Mazhar, Jens Kober:
Random Shadows and Highlights: A new data augmentation method for extreme lighting conditions. - Miguel Velez, Pooyan Jamshidi, Norbert Siegmund, Sven Apel, Christian Kästner:
White-Box Analysis over Machine Learning: Modeling Performance of Configurable Systems. - Mehrshad Zandigohar, Deniz Erdogmus, Gunar Schirner:
NetCut: Real-Time DNN Inference Using Layer Removal. - Sebastian Eresheim, Lukas Daniel Klausner, Patrick Kochberger:
Anomaly Detection Support Using Process Classification. - Zhaoxuan Zhu, Shobhit Gupta, Abhishek Gupta, Marcello Canova:
A Deep Reinforcement Learning Framework for Eco-driving in Connected and Automated Hybrid Electric Vehicles. - Kamyar Moshksar:
On a Class of Time-Varying Gaussian ISI Channels. - Garrick Cabour, Élise Ledoux, Samuel Bassetto:
A Work-Centered Approach for Cyber-Physical-Social System Design: Applications in Aerospace Industrial Inspection. - Paul Garnier, Théophane Gregoir:
Evaluating Soccer Player: from Live Camera to Deep Reinforcement Learning. - Anastasis Kratsios, Leonie Papon:
Quantitative Rates and Fundamental Obstructions to Non-Euclidean Universal Approximation with Deep Narrow Feed-Forward Networks. - Xixin Wu, Mark J. F. Gales:
Should Ensemble Members Be Calibrated? - Cevahir Köprülü, Yildiray Yildiz:
Act to Reason: A Dynamic Game Theoretical Model of Driving. - Manuel R. Ciosici, Joseph Cummings, Mitchell DeHaven, Alex Hedges, Yash Kankanampati, Dong-Ho Lee, Ralph M. Weischedel, Marjorie Freedman:
Machine-Assisted Script Curation. - Yanni Zhang, Yiming Liu, Qiang Li, Miao Qi, Dahong Xu, Jun Kong, Jianzhong Wang:
Image deblurring based on lightweight multi-information fusion network. - Huseyin A. Inan, Osman Ramadan, Lukas Wutschitz, Daniel Jones, Victor Rühle, James Withers, Robert Sim:
Privacy Analysis in Language Models via Training Data Leakage Report. - Ed Bueler:
The full approximation storage multigrid scheme: A 1D finite element example. - Auguste Bourgois, Luc Jaulin:
Interval centred form for proving stability of non-linear discrete-time systems. 1-17 - Andreas Rauh, Julia Kersten:
Verification and Reachability Analysis of Fractional-Order Differential Equations Using Interval Analysis. 18-32 - Tommaso Dreossi, Giorgio Ballardin, Parth Gupta, Jan Bakus, Yu-Hsiang Lin, Vamsi Salaka:
Analysis of E-commerce Ranking Signals via Signal Temporal Logic. 33-42 - Yann-Meing Law, Jean-Christophe Nave:
High-order FDTD schemes for Maxwell's interface problems with discontinuous coefficients and complex interfaces based on the Correction Function Method. - Luc Jaulin, Benoît Desrochers:
Enclosing the Sliding Surfaces of a Controlled Swing. 43-55 - Gaoang Wang, Lin Chen, Tianqiang Liu, Mingwei He, Jiebo Luo:
DAIL: Dataset-Aware and Invariant Learning for Face Recognition. - Sayaka Kamei, Anissa Lamani, Fukuhito Ooshita, Sébastien Tixeuil, Koichi Wada:
Asynchronous Gathering in a Torus. - Laurie McLeod, Bill Doolin, Stephen G. MacDonell:
A Perspective-Based Understanding of Project Success. - Martin J. Shepperd, Stephen G. MacDonell:
Evaluating prediction systems in software project estimation. - Priyanka Mary Mammen:
Federated Learning: Opportunities and Challenges. - Kiarash Movassagh, Sheikh Arif Raihan, Balakumar Balasingam, Krishna R. Pattipati:
A Critical Look at Coulomb Counting Towards Improving the Kalman Filter Based State of Charge Tracking Algorithms in Rechargeable Batteries. - Zengyi Qin, Kaiqing Zhang, Yuxiao Chen, Jingkai Chen, Chuchu Fan:
Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates. - Ka-Hou Chan, Wei Ke, Sio Kei Im:
A General Method for Generating Discrete Orthogonal Matrices. - Shengchen Li, Ke Tian, Rui Wang:
Unsupervised heart abnormality detection based on phonocardiogram analysis with Beta Variational Auto-Encoders. - Hengameh Fakhravar:
Application of Failure Modes and Effects Analysis in the Engineering Design Process. - Xianghua Ding, Shuhan Wei, Xinning Gui, Ning Gu, Peng Zhang:
Data Engagement Reconsidered: A Study of Automatic Stress Tracking Technology in Use. - Barry Dowdeswell, Roopak Sinha, Stephen G. MacDonell:
Finding faults: A scoping study of fault diagnostics for Industrial Cyber-Physical Systems. - Yashraj S. Narang, Balakumar Sundaralingam, Karl Van Wyk, Arsalan Mousavian, Dieter Fox:
Interpreting and Predicting Tactile Signals for the SynTouch BioTac. - Jian Li, Raziel Alvarez:
On the quantization of recurrent neural networks. - Abhinav Dhere, Jayanthi Sivaswamy:
Self-Supervised Learning for Segmentation. - Ka-Hou Chan, Sio Kei Im, Wei Ke:
A Multiple Classifier Approach for Concatenate-Designed Neural Networks. - Dongjie Zhu, Haiwen Du, Yundong Sun, Zhaoshuo Tian:
Leader Confirmation Replication for Millisecond Consensus in Geo-distributed Private Chains. - Zhi Zeng, Yuan Liu, Weijun Tang, Fangjiong Chen:
Noise Is Useful: Exploiting Data Diversity for Edge Intelligence. - Qizhou Wang, Bo Han, Tongliang Liu, Gang Niu, Jian Yang, Chen Gong:
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model. - Jason Wei, Chengyu Huang, Shiqi Xu, Soroush Vosoughi:
Text Augmentation in a Multi-Task View. - Daniel Ma, Gerald Friedland, Mario Michael Krell:
OrigamiSet1.0: Two New Datasets for Origami Classification and Difficulty Estimation. - Congliang Chen, Li Shen, Fangyu Zou, Wei Liu:
Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration. - Alessandro Agnetis, Ben Hermans, Roel Leus, Salim Rostami:
Time-critical testing and search problems. - Mudabbir Kaleem, Keshav Kasichainula, Rabimba Karanjai, Lei Xu, Zhimin Gao, Lin Chen, Weidong Shi:
EDSC: An Event-Driven Smart Contract Platform. - Akshay Krishna Sheshadri, Anvesh Rao Vijjini, Sukhdeep Kharbanda:
WER-BERT: Automatic WER Estimation with BERT in a Balanced Ordinal Classification Paradigm. - Vinay Damodaran, Sharanya Chakravarthy, Akshay Kumar, Anjana Umapathy, Teruko Mitamura, Yuta Nakashima, Noa Garcia, Chenhui Chu:
Understanding the Role of Scene Graphs in Visual Question Answering. - Barbara Kaltenbacher, Kha Van Huynh:
Iterative regularization for constrained minimization formulations of nonlinear inverse problems. - Guowen Xiao, Mengwen Ye, Bowen Xu, Zhendi Chen, Quansheng Ren:
4D Attention-based Neural Network for EEG Emotion Recognition. - Yuxiang Ren, Jiyang Bai, Jiawei Zhang:
Label Contrastive Coding based Graph Neural Network for Graph Classification. - Fengxiang He, Shiye Lei, Jianmin Ji, Dacheng Tao:
Neural networks behave as hash encoders: An empirical study. - Ojasv Kamal, Adarsh Kumar, Tejas Vaidhya:
Hostility Detection in Hindi leveraging Pre-Trained Language Models. - Peter Hillmann, Marcus Knüpfer, Erik Heiland, Andreas Karcher:
Selective Deletion in a Blockchain. - Ipek Baris, Zeyd Boukhers:
ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information. - Yanjun Li, Bihan Wen, Hao Cheng, Yoram Bresler:
Joint Dimensionality Reduction for Separable Embedding Estimation. - Kennedy Edemacu, Beakcheol Jang, Jong Wook Kim:
Reliability Check via Weight Similarity in Privacy-Preserving Multi-Party Machine Learning. - Paul Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca D. Dragan, Rohin Shah:
Evaluating the Robustness of Collaborative Agents. - Pengyuan Zhou, Pranvera Kortoçi, Yui-Pan Yau, Tristan Braud, Xiujun Wang, Benjamin Finley, Lik-Hang Lee, Sasu Tarkoma, Jussi Kangasharju, Pan Hui:
Augmented Informative Cooperative Perception. - Ben Chen, Bin Chen, Dehong Gao, Qijin Chen, Chengfu Huo, Xiaonan Meng, Weijun Ren, Yang Zhou:
Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection. - Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby, T. Mitchell Roddenberry, Santiago Segarra:
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond. - Kaihua Qin, Liyi Zhou, Arthur Gervais:
Quantifying Blockchain Extractable Value: How dark is the forest? - Riikka Huusari, Hachem Kadri:
Entangled Kernels - Beyond Separability. - Zhixian Chen, Tengfei Ma, Zhihua Jin, Yangqiu Song, Yang Wang:
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network. - Axel Laborieux, Maxence Ernoult, Benjamin Scellier, Yoshua Bengio, Julie Grollier, Damien Querlioz:
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias. - Stefano Massaroli, Michael Poli, Federico Califano, Jinkyoo Park, Atsushi Yamashita, Hajime Asama:
Optimal Energy Shaping via Neural Approximators. - Marcus Knüpfer, Tore Bierwirth, Lars Stiemert, Matthias Schopp, Sebastian Seeber, Daniela Pöhn, Peter Hillmann:
Cyber Taxi: A Taxonomy of Interactive Cyber Training and Education Systems. - Orestis Alpos, Christian Cachin, Giorgia Azzurra Marson, Luca Zanolini:
On the Synchronization Power of Token Smart Contracts. - Alexandre Ramé, Matthieu Cord:
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation. - Antonio Maria D'Altri, Stefano de Miranda, L. Patruno, E. Sacco:
An enhanced VEM formulation for plane elasticity. - Grzegorz Gluch, Michael Kapralov, Silvio Lattanzi, Aida Mousavifar, Christian Sohler:
Spectral Clustering Oracles in Sublinear Time. - Stefanos Nikolopoulos, Ioannis Kalogeris, Vissarion Papadopoulos:
Non-intrusive surrogate modeling for parametrized time-dependent PDEs using convolutional autoencoders. - Abu Quwsar Ohi, Muhammad Firoz Mridha, Md. Abdul Hamid, Muhammad Mostafa Monowar, Faris A. Kateb:
FabricNet: A Fiber Recognition Architecture Using Ensemble ConvNets. - Moulik Choraria, Arpan Chattopadhyay, Urbashi Mitra, Erik G. Ström:
Design of false data injection attack on distributed process estimation. - Alejandro Acien, Aythami Morales, John V. Monaco, Rubén Vera-Rodríguez, Julian Fiérrez:
TypeNet: Deep Learning Keystroke Biometrics. - Anna Schlintl, Barbara Kaltenbacher:
All-at-once formulation meets the Bayesian approach: A study of two prototypical linear inverse problems. - Hendrik Amler, Lisa Eckey, Sebastian Faust, Marcel Kaiser, Philipp G. Sandner, Benjamin Schlosser:
DeFi-ning DeFi: Challenges & Pathway. - Farhad Merchant, Dominik Sisejkovic, Lennart M. Reimann, Kirthihan Yasotharan, Thomas Grass, Rainer Leupers:
ANDROMEDA: An FPGA Based RISC-V MPSoC Exploration Framework. - Sharad Kumar Singh, Puduru Viswanadha Reddy:
Dynamic network analysis of a target defense differential game with limited observations. - Renato Stoffalette João:
On the Temporality of Priors in Entity Linking. - Manoj Kumar:
Necessary and Sufficient Condition for Satisfiability of a Boolean Formula in CNF and its Implications on P versus NP problem. - Hannes Bartz, Sven Puchinger:
Decoding of Interleaved Linearized Reed-Solomon Codes with Applications to Network Coding. - Rui Liu, Sen Liu, Xiaoli Zhang:
A Physics-Informed Machine Learning Model for Porosity Analysis in Laser Powder Bed Fusion Additive Manufacturing. - Mahdi Jafari Siavoshani, Seyed Pooya Shariatpanahi:
Intelligent Reflecting Surfaces for Compute-and-Forward. - Lasitha Vidyaratne, Mahbubul Alam, Alexander Glandon, Anna Shabalina Solopova, Christopher Tennant, Khan Iftekharuddin:
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information. - Guangneng Hu, Qiang Yang:
TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation. - (Withdrawn) A SOM-based Gradient-Free Deep Learning Method with Convergence Analysis.
- Prajoy Podder, M. Rubaiyat Hossain Mondal, Subrato Bharati, Pinto Kumar Paul:
Review on the Security Threats of Internet of Things. - Daya Shanker Khudia, Jianyu Huang, Protonu Basu, Summer Deng, Haixin Liu, Jongsoo Park, Mikhail Smelyanskiy:
FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference. - Takato Yasuno, Junichiro Fujii, Hiroaki Sugawara, Masazumi Amakata:
Road Surface Translation Under Snow-covered and Semantic Segmentation for Snow Hazard Index. - Stéphane Gaudreault, Martin Charron, Valentin Dallerit, Mayya Tokman:
High-order numerical solutions to the shallow-water equations on the rotated cubed-sphere grid. - Yan Jia, Tom Lawton, John A. McDermid, Eric Rojas, Ibrahim Habli:
A Framework for Assurance of Medication Safety using Machine Learning. - Mostafa Shahriari, Arijit Hazra, David Pardo:
Design of borehole resistivity measurement acquisition systems using deep learning. - Yao Qiang, Supriya Tumkur Suresh Kumar, Marco Brocanelli, Dongxiao Zhu:
Adversarially Robust and Explainable Model Compression with On-Device Personalization for Text Classification. - Shalini Pandey, Andrew S. Lan, George Karypis, Jaideep Srivastava:
Learning Student Interest Trajectory for MOOCThread Recommendation. - Sarah Alqurashi, Btool Hamoui, Abdulaziz Alashaikh, Ahmad Alhindi, Eisa Alanazi:
Eating Garlic Prevents COVID-19 Infection: Detecting Misinformation on the Arabic Content of Twitter. - Yi Su, Wenhao Fan, Yuan'an Liu, Fan Wu:
Game-based Pricing and Task Offloading in Mobile Edge Computing Enabled Edge-Cloud Systems. - Zhiqiang Wei, Weijie Yuan, Shuangyang Li, Jinhong Yuan, Derrick Wing Kwan Ng:
Off-grid Channel Estimation with Sparse Bayesian Learning for OTFS Systems. - Mohamad Alissa:
Parkinson's Disease Diagnosis Using Deep Learning. - Byungryul Choi:
Enhanced Audit Techniques Empowered by the Reinforcement Learning Pertaining to IFRS 16 Lease. - Renato Stoffalette João, Pavlos Fafalios, Stefan Dietze:
Better Together - An Ensemble Learner for Combining the Results of Ready-made Entity Linking Systems. - Pablo Dorta-González, Sara M. González-Betancor, María-Isabel Dorta-González:
To what extent is researchers' data-sharing motivated by formal mechanisms of recognition and credit? - Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana:
Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series. - Junya Ikemoto, Toshimitsu Ushio:
Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain Discrete-Time Systems. - Jialiang Han, Yun Ma:
C3DRec: Cloud-Client Cooperative Deep Learning for Temporal Recommendation in the Post-GDPR Era. - Tomislav Petkovic, Luka Petrovic, Ivan Markovic, Ivan Petrovic:
Ensemble of LSTMs and feature selection for human action prediction. - Cengiz Acartürk, Melih Sirlanci, Pinar Gurkan Balikcioglu, Deniz Demirci, Nazenin Sahin, Ozge Acar Kucuk:
Malicious Code Detection: Run Trace Output Analysis by LSTM. - Arnav Chavan, Udbhav Bamba, Rishabh Tiwari, Deepak K. Gupta:
Rescaling CNN through Learnable Repetition of Network Parameters. - Gustavo Henrique de Rosa, João Paulo Papa, Xin-She Yang:
A Nature-Inspired Feature Selection Approach based on Hypercomplex Information. - Renato Stoffalette João:
On Informative Tweet Identification For Tracking Mass Events. - Carson Schubert, Kevin Black, Daniel Fonseka, Abhimanyu Dhir, Jacob Deutsch, Nihal Dhamani, Gavin Martin, Maruthi R. Akella:
A Pipeline for Vision-Based On-Orbit Proximity Operations Using Deep Learning and Synthetic Imagery. - Emanuele Gabriel Margherita, Alessio Maria Braccini:
Exploring the socio-technical interplay of Industry 4.0: a single case study of an Italian manufacturing organisation. - Ronak Pradeep, Rodrigo Frassetto Nogueira, Jimmy Lin:
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models. - Emanuele Gabriel Margherita, Giovanni Esposito, Stefania Denise Escobar, Nathalie Crutzen:
Exploring the Smart City Adoption Process: Evidence from the Belgian urban context. - Anton Khritankov:
Analysis of hidden feedback loops in continuous machine learning systems. - François Clément, Vincent Martin:
Lebesgue integration. Detailed proofs to be formalized in Coq. - Rawad Bitar, Marvin Xhemrishi, Antonia Wachter-Zeh:
Adaptive Private Distributed Matrix Multiplication. - Congcong Liu, Yuying Chen, Ming Liu, Bertram E. Shi:
AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention. - Simon Alexanderson, Éva Székely, Gustav Eje Henter, Taras Kucherenko, Jonas Beskow:
Generating coherent spontaneous speech and gesture from text. - Bo Dong, Mingchen Zhuge, Yongxiong Wang, Hongbo Bi, Geng Chen:
Towards Accurate Camouflaged Object Detection with Mixture Convolution and Interactive Fusion. - Xusheng Luo, Michael M. Zavlanos:
Temporal Logic Task Allocation in Heterogeneous Multi-Robot Systems. - Aitor Arrieta:
Multi-Fidelity Digital Twins: a Means for Better Cyber-Physical Systems Testing? - Marin Lujak, Alberto Fernández, Eva Onaindia:
Spillover Algorithm: A Decentralized Coordination Approach for Multi-Robot Production Planning in Open Shared Factories. - Elena Shushkevich, John Cardiff:
TUDublin team at Constraint@AAAI2021 - COVID19 Fake News Detection. - Albert Benveniste, Benoît Caillaud, Mathias Malandain:
Structural Analysis of Multimode DAE Systems: summary of results. - David Gonçalves, André Rodrigues, Mike L. Richardson, Alexandra A. de Sousa, Michael J. Proulx, Tiago João Guerreiro:
Exploring Asymmetric Roles in Mixed-Ability Gaming. - Harold Pinilla, Jose Macias, Emmanuel Lescano, José David Alvarado, Wilder E. Castellanos:
Environmental Variable Monitoring with IoT Technology. - Wei Xiao, Noushin Mehdipour, Anne Collin, Amitai Bin-Nun, Emilio Frazzoli, Radboud J. Duintjer Tebbens, Calin Belta:
Rule-based Optimal Control for Autonomous Driving. - Gijs Wijnholds, Michael Moortgat:
SICKNL: A Dataset for Dutch Natural Language Inference. - Shutang You:
Adaptive Frequency Response Reserve based on Real-time System Inertia. - Luiz A. L. Rodrigues, Armando M. Toda, Wilk Oliveira, Paula T. Palomino, Julita Vassileva, Seiji Isotani:
Automating Gamification Personalization: To the User and Beyond. - Jan van den Brand, Yin Tat Lee, Yang P. Liu, Thatchaphol Saranurak, Aaron Sidford, Zhao Song, Di Wang:
Minimum Cost Flows, MDPs, and 𝓁1-Regression in Nearly Linear Time for Dense Instances. - Riccardo Beschi, Xiao Feng, Stefania Melillo, Leonardo Parisi, Lorena Postiglione:
Stereo camera system calibration: the need of two sets of parameters. - Junchen Jin, Mark Heimann, Di Jin, Danai Koutra:
Towards Understanding and Evaluating Structural Node Embeddings. - Tanyakarn Treeratanaphitak, Nasser Mohieddin Abukhdeir:
Phase-bounded finite element method for two-fluid incompressible flow systems. - Clara Schneidewind, Markus Scherer, Matteo Maffei:
The Good, the Bad and the Ugly: Pitfalls and Best Practices in Automated Sound Static Analysis of Ethereum Smart Contracts. - Shayan Zamani, Hadi Hemmati:
A Pragmatic Approach for Hyper-Parameter Tuning in Search-based Test Case Generation. - Eduardo Bonelli, Delia Kesner, Andrés Viso:
A Strong Bisimulation for Control Operators by Means of Multiplicative and Exponential Reduction. - Truong-An Pham, Junjue Wang, Yu Xiao, Padmanabhan Pillai, Roger Iyengar, Roberta L. Klatzky, Mahadev Satyanarayanan:
Ajalon: Simplifying the Authoring of Wearable Cognitive Assistants. - Yi Shi, Yalin E. Sagduyu, Tugba Erpek, Mustafa Cenk Gursoy:
How to Attack and Defend 5G Radio Access Network Slicing with Reinforcement Learning. - Leandro Aparecido Passos, Danilo Samuel Jodas, Luiz Carlos Felix Ribeiro, Thierry Pinheiro Moreira, João P. Papa:
O2PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection. - Ephy R. Love, Benjamin Filippenko, Vasileios Maroulas, Gunnar E. Carlsson:
Topological Deep Learning. - Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, Stefano Soatto:
Structured Prediction as Translation between Augmented Natural Languages. - Deborah H. Blevins, Pablo Moriano, Robert A. Bridges, Miki E. Verma, Michael D. Iannacone, Samuel C. Hollifield:
Time-Based CAN Intrusion Detection Benchmark. - Abubakar Abid, Maheen Farooqi, James Zou:
Persistent Anti-Muslim Bias in Large Language Models. - Aliakbar Akbaritabar:
Quantitative View of the Structure of Institutional Scientific Collaborations Using the Examples of Halle, Jena and Leipzig. - Sebastian Dürr, Peter A. Gloor:
Persuasive Natural Language Generation - A Literature Review. - Jonas Nitzler, Christoph A. Meier, Kei W. Müller, Wolfgang A. Wall, Neil Eugene Hodge:
A Novel Physics-Based and Data-Supported Microstructure Model for Part-Scale Simulation of Ti-6Al-4V Selective Laser Melting. - Teddy Koker, Fatemehsadat Mireshghallah, Tom Titcombe, Georgios Kaissis:
U-Noise: Learnable Noise Masks for Interpretable Image Segmentation. - Batuhan Arasli, Sennur Ulukus:
Group Testing with a Graph Infection Spread Model. - Leandro Aparecido Passos, João Paulo Papa:
A Metaheuristic-Driven Approach to Fine-Tune Deep Boltzmann Machines. - Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte:
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows. - Praveen S. V, Akhilesh Bharadwaj, Harsh Raj, Janhavi Dadhania, Ganesh Samarth C. A., Nikhil Pareek, S. R. M. Prasanna:
Exploration of Visual Features and their weighted-additive fusion for Video Captioning. - Changjian Xie, Jingrun Chen, Xiantao Li:
A Machine-Learning Method for Time-Dependent Wave Equations over Unbounded Domains. - Li-Yun Wang, Yeganeh Jalalpour, Wu-chi Feng:
Context-Aware Image Denoising with Auto-Threshold Canny Edge Detection to Suppress Adversarial Perturbation. - Gang Bao, Peijun Li, Xiaokai Yuan:
An adaptive finite element DtN method for the elastic wave scattering problem in three dimensions. - Oleg Bezrukavnikov, Rhema Linder:
A Neophyte With AutoML: Evaluating the Promises of Automatic Machine Learning Tools. - Alessandro De Palma, Harkirat Singh Behl, Rudy Bunel, Philip H. S. Torr, M. Pawan Kumar:
Scaling the Convex Barrier with Sparse Dual Algorithms. - Josef Lorenz Rumberger, Xiaoyan Yu, Peter Hirsch, Melanie Dohmen, Vanessa Emanuela Guarino, Ashkan Mokarian, Lisa Mais, Jan Funke, Dagmar Kainmueller:
How Shift Equivariance Impacts Metric Learning for Instance Segmentation. - Angel Andres Daruna, Mehul Gupta, Mohan Sridharan, Sonia Chernova:
Continual Learning of Knowledge Graph Embeddings. - Chenda Zhang, Hedvig Kjellström:
A Subjective Model of Human Decision Making Based on Quantum Decision Theory. - Jon M. Kleinberg, Manish Raghavan:
Algorithmic Monoculture and Social Welfare. - Akanksha Atrey, Prashant J. Shenoy, David D. Jensen:
Preserving Privacy in Personalized Models for Distributed Mobile Services. - Nima Miryeganeh, Sepehr Hashtroudi, Hadi Hemmati:
GloBug: Using Global Data in Fault Localization. - Chong Li, Jiangnan Liu, Chenyang Lu, Roch Guérin, Christopher D. Gill:
Impact of Distributed Rate Limiting on Load Distribution in a Latency-sensitive Messaging Service. - David Oniani, Chen Wang, Yiqing Zhao, Andrew Wen, Hongfang Liu, Feichen Shen:
Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features. - Rebeca Campos Motta, Káthia Marçal de Oliveira, Guilherme Travassos:
Technical Report: Rapid Reviews on Engineering of Internet of Things Software Systems. - Ramya Akula, Ivan Garibay:
Interpretable Multi-Head Self-Attention model for Sarcasm Detection in social media. - Courtney Miller, Paige Rodeghero, Margaret-Anne D. Storey, Denae Ford, Thomas Zimmermann:
"How Was Your Weekend?" Software Development Teams Working From Home During COVID-19. - Shenghui Li, Edith C. H. Ngai, Fanghua Ye, Thiemo Voigt:
Auto-weighted Robust Federated Learning with Corrupted Data Sources. - Miroslav S. Petrov, Todor D. Todorov, Gage S. Walters, David M. Williams, Freddie D. Witherden:
Enabling four-dimensional conformal hybrid meshing with cubic pyramids. - Tongyu Zong, Chen Li, Yuanyuan Lei, Guangyu Li, Houwei Cao, Yong Liu:
Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning. - Hongmin Su, Jinsheng Cai, Shucheng Pan, Xiangyu Hu:
Reformulated dissipation for the free-stream preserving of the conservative finite difference schemes on curvilinear grids. - Arnab Dey, Vivek Khatana, Ankur Mani, Murti V. Salapaka:
Transactive Framework for Dynamic Energy Storage Allocation for Critical Load Management. - Sajila D. Wickramaratne, Md Shaad Mahmud:
A Deep Learning Based Ternary Task Classification System Using Gramian Angular Summation Field in fNIRS Neuroimaging Data. - Sajila D. Wickramaratne, Md Shaad Mahmud:
A Ternary Bi-Directional LSTM Classification for Brain Activation Pattern Recognition Using fNIRS. - Jinkun Cao, Xin Wang, Trevor Darrell, Fisher Yu:
Instance-Aware Predictive Navigation in Multi-Agent Environments. - Wenbo Wang, Xin Fang, Hantao Cui, Fangxing Li:
Transmission-and-Distribution Frequency Dynamic Co-Simulation Framework for Distributed Energy Resources Frequency Response. - Ismaël Jecker:
A Ramsey Theorem for Finite Monoids. - Yanlai Chen, Sigal Gottlieb, Lijie Ji, Yvon Maday:
An EIM-degradation free reduced basis method via over collocation and residual hyper reduction-based error estimation. - Basil Mustafa, Aaron Loh, Jan Freyberg, Patricia MacWilliams, Megan Wilson, Scott Mayer McKinney, Marcin Sieniek, Jim Winkens, Yuan Liu, Peggy Bui, Shruthi Prabhakara, Umesh Telang, Alan Karthikesalingam, Neil Houlsby, Vivek Natarajan:
Supervised Transfer Learning at Scale for Medical Imaging. - Sylvia L. Herbert, Jason J. Choi, Suvansh Qazi, Marsalis T. Gibson, Koushil Sreenath, Claire J. Tomlin:
Scalable Learning of Safety Guarantees for Autonomous Systems using Hamilton-Jacobi Reachability. - Tao Du, Kui Wu, Pingchuan Ma, Sebastien Wah, Andrew Spielberg, Daniela Rus, Wojciech Matusik:
DiffPD: Differentiable Projective Dynamics with Contact. - Tugrulcan Elmas, Rebekah Overdorf, Karl Aberer:
A Dataset of State-Censored Tweets. - Anna R. Karlin, Nathan Klein, Shayan Oveis Gharan, Xinzhi Zhang:
An Improved Approximation Algorithm for the Minimum k-Edge Connected Multi-Subgraph Problem. - Xiangyuan Zhu, Xiaoming Xiao, Tardi Tjahjadi, Zhihu Wu, Jin Tang:
Image Enhancement using Fuzzy Intensity Measure and Adaptive Clipping Histogram Equalization. - Shomik Jain, Davide Proserpio, Giovanni Quattrone, Daniele Quercia:
Nowcasting Gentrification Using Airbnb Data. - Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma:
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks. - Jing Jin, Cai Liang, Tiancheng Wu, Liqin Zou, Zhiliang Gan:
KDLSQ-BERT: A Quantized Bert Combining Knowledge Distillation with Learned Step Size Quantization. - Kathryn P. Drake, Edward J. Fuselier, Grady B. Wright:
Implicit Surface Reconstruction with a Curl-free Radial Basis Function Partition of Unity Method. - Mohammad Reza Amini, Qiuhao Hu, Hao Wang, Yiheng Feng, Ilya V. Kolmanovsky, Jing Sun:
Experimental Validation of Eco-Driving and Eco-Heating Strategies for Connected and Automated HEVs. - Xiaoyu Hao, Ruohai Zhao, Tao Yang, Yulin Hu, Bo Hu, Yuhe Qiu:
A Risk-Sensitive Task Offloading Strategy for Edge Computing in Industrial Internet of Things. - Anthony Opipari, Chao Chen, Shoutian Wang, Jana Pavlasek, Karthik Desingh, Odest Chadwicke Jenkins:
Differentiable Nonparametric Belief Propagation. - Xiaoyang Wang, Bo Li, Yibo Zhang, Bhavya Kailkhura, Klara Nahrstedt:
Robusta: Robust AutoML for Feature Selection via Reinforcement Learning. - Houwang Tu, Yongxian Wang, Wenbin Xiao, Qiang Lan, Wei Liu:
Two Chebyshev Spectral Methods for Solving Normal Modes in Atmospheric Acoustics. - Beibei Zhang, Tian Xiang, Hongxuan Zhang, Te Li, Shiqiang Zhu, Jianjun Gu:
Dynamic DNN Decomposition for Lossless Synergistic Inference. - Ayush Gupta, Rohan Sukumaran, Kevin John, Sundeep Teki:
Hostility Detection and Covid-19 Fake News Detection in Social Media. - Devshree Patel, Ratnam Parikh, Yesha Shastri:
Recent Advances in Video Question Answering: A Review of Datasets and Methods. - Gabriel Lima, Meeyoung Cha:
Descriptive AI Ethics: Collecting and Understanding the Public Opinion. - Yash Narayan:
DeepWaste: Applying Deep Learning to Waste Classification for a Sustainable Planet. - Manish Shetty, Chetan Bansal:
Mining Knowledge Graphs From Incident Reports. - Marcos Lordello Chaim, Kesina Baral, Jeff Offutt:
A Data Flow Analysis Framework for Data Flow Subsumption. - Shutang You:
Determine Disturbance Locations in Power Grids using Bicubic 2D Interpolation on Electromechanical Wave-front Propagation Delay. - Hao Huang, C. Matthew Davis, Katherine R. Davis:
Real-time Power System Simulation with Hardware Devices through DNP3 in Cyber-Physical Testbed. - Steven Euijong Whang, Ki Hyun Tae, Yuji Roh, Geon Heo:
Responsible AI Challenges in End-to-end Machine Learning. - Tanmay Agarwal, Hitesh Arora, Jeff Schneider:
Affordance-based Reinforcement Learning for Urban Driving. - Buru Chang, Inggeol Lee, Hyunjae Kim, Jaewoo Kang:
"Killing Me" Is Not a Spoiler: Spoiler Detection Model using Graph Neural Networks with Dependency Relation-Aware Attention Mechanism. - Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li:
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks. - Xinyue Chen, Che Wang, Zijian Zhou, Keith W. Ross:
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model. - Dominic Lewinski, Md Rashidul Hasan:
Russian Troll Account Classification with Twitter and Facebook Data. - Jinning Li, Liting Sun, Wei Zhan, Masayoshi Tomizuka:
Interaction-Aware Behavior Planning for Autonomous Vehicles Validated with Real Traffic Data. - Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang:
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing. - Xing Cao, Yun Liu:
Coarse-grained decomposition and fine-grained interaction for multi-hop question answering. - Guangtao Wang, Qinbao Song, Xiaoyan Zhu:
Ensemble Learning Based Classification Algorithm Recommendation. - Rui Tian, Yunzhou Zhang, Delong Zhu, Shiwen Liang, Sonya Coleman, Dermot Kerr:
Accurate and Robust Scale Recovery for Monocular Visual Odometry Based on Plane Geometry. - Mengyu Chen:
Convolutional Neural Network with Pruning Method for Handwritten Digit Recognition. - Jiancheng Fang, Yu Xiang, Yu Huang, Yilong Cui, Wenyong Wang:
A Vehicles Control Model to Alleviate Traffic Instability. - Rongjian Lan, Ganesha Upadhyaya, Stephen Tse, Mahdi Zamani:
Horizon: A Gas-Efficient, Trustless Bridge for Cross-Chain Transactions. - Chander Shekhar, Bhavya Bagla, Kaushal Kumar Maurya, Maunendra Sankar Desarkar:
Walk in Wild: An Ensemble Approach for Hostility Detection in Hindi Posts. - Yifeng Jiang, Tingnan Zhang, Daniel Ho, Yunfei Bai, C. Karen Liu, Sergey Levine, Jie Tan:
SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning. - Binxu Wang, Carlos R. Ponce:
The Geometry of Deep Generative Image Models and its Applications. - Violetta Shevchenko, Damien Teney, Anthony R. Dick, Anton van den Hengel:
Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge. - Anna Stramaglia, Jeroen J. A. Keiren, Hans Zantema:
Deadlock in packet switching networks. - Pei Wang, Wei Sun, Qingsen Yan, Axi Niu, Rui Li, Yu Zhu, Jinqiu Sun, Yanning Zhang:
Non-uniform Motion Deblurring with Blurry Component Divided Guidance. - Junshen Kevin Chen, Wanze Xie, Yutong He:
Motion-Based Handwriting Recognition. - Junshen Kevin Chen, Wanze Xie, Yutong He:
Motion-Based Handwriting Recognition and Word Reconstruction. - Pengfei Ma, Hancheng Lu, Ming Zhang, Jinxue Liu, Ruoyun Chen:
QoS-Driven Video Uplinking in NOMA-Based IoT. - Samuel Rhys Cox, Yunlong Wang, Ashraf M. Abdul, Christian von der Weth, Brian Y. Lim:
Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation. - Niv Beeri, Moshe Schwartz:
Improved Rank-Modulation Codes for DNA Storage with Shotgun Sequencing. - Son Tuan Vu, Albert Cohen, Karine Heydemann, Arnaud de Grandmaison, Christophe Guillon:
Secure Optimization Through Opaque Observations. - Patrick Brandao, Odysseas Zisimopoulos, Evangelos B. Mazomenos, Gastone Ciuti, Jorge Bernal, Marco Visentini Scarzanella, Arianna Menciassi, Paolo Dario, Anastasios Koulaouzidis, Alberto Arezzo, David J. Hawkes, Danail Stoyanov:
Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks. - Lorenzo Veronese, Stefano Calzavara, Luca Compagna:
Bulwark: Holistic and Verified Security Monitoring of Web Protocols. - Adyasha Mohanty, Shubh Gupta, Grace Xingxin Gao:
A Particle Filtering Framework for Integrity Risk of GNSS-Camera Sensor Fusion. - Axel Sauer, Andreas Geiger:
Counterfactual Generative Networks. - Martina Mammarella, Victor Mirasierra, Matthias Lorenzen, Teodoro Alamo, Fabrizio Dabbene:
Chance constrained sets approximation: A probabilistic scaling approach - EXTENDED VERSION. - Lukas Stappen, Alice Baird, Lea Schumann, Björn W. Schuller:
The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements. - Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Florian Schmidt, Thorsten Wittkopp, Soeren Becker, Jorge Cardoso, Odej Kao:
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper. - Shuai Yu, Xiaowen Gong, Qian Shi, Xiaofei Wang, Xu Chen:
EC-SAGINs: Edge Computing-enhanced Space-Air-Ground Integrated Networks for Internet of Vehicles. - Iason Gabriel, Vafa Ghazavi:
The Challenge of Value Alignment: from Fairer Algorithms to AI Safety. - Bogdan Georgiev, Lukas Franken, Mayukh Mukherjee:
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds. - Mudit Chaudhary, Borislav Dzodzo, Sida Huang, Chun Hei Lo, Mingzhi Lyu, Lun Yiu Nie, Jinbo Xing, Tianhua Zhang, Xiaoying Zhang, Jingyan Zhou, Hong Cheng, Wai Lam, Helen Meng:
Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response Generation. - Jean-Pierre Sleiman, Farbod Farshidian, Marco Hutter:
Constraint Handling in Continuous-Time DDP-Based Model Predictive Control. - Gaurav Kumar Nayak, Konda Reddy Mopuri, Saksham Jain, Anirban Chakraborty:
Data Impressions: Mining Deep Models to Extract Samples for Data-free Applications. - Vincent Moens, Hang Ren, Alexandre Maraval, Rasul Tutunov, Jun Wang, Haitham Ammar:
Efficient Semi-Implicit Variational Inference. - Tomohiro Nakamura, Tomoya Miyashita, Soh Ohara:
Hierarchical Multitask Learning with Dependency Parsing for Japanese Semantic Role Labeling Improves Performance of Argument Identification. - Evlampios Apostolidis, Eleni Adamantidou, Alexandros I. Metsai, Vasileios Mezaris, Ioannis Patras:
Video Summarization Using Deep Neural Networks: A Survey. - Chuan Liu, Yi Gao, Jiancheng Lv:
Dynamic Normalization. - Ivor van der Hoog, Irina Kostitsyna, Maarten Löffler, Bettina Speckmann:
Preprocessing Imprecise Points for the Pareto Front. - Yuanduo Hong, Huihui Pan, Weichao Sun, Yisong Jia:
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. - Christian Lidström, Dilian Gurov:
An Abstract Contract Theory for Programs with Procedures. - Ivan Porres, Sepinoud Azimi, Sébastien Lafond, Johan Lilius, Johanna Salokannel, Mirva Salokorpi:
On the Verification and Validation of AI Navigation Algorithms. - K. Naveen Kumar, Chalavadi Vishnu, Reshmi Mitra, C. Krishna Mohan:
Black-box Adversarial Attacks in Autonomous Vehicle Technology. - Carlo H. Godoy Jr.:
Motorcycle System for Optimum Road Safety with Anti-theft Capability. - Maryam Maleki, Yupo Chan, Mohammad Arani:
Impact of Autonomous Vehicle Technology on Long Distance Travel Behavior. - David Piorkowski, Soya Park, April Yi Wang, Dakuo Wang, Michael J. Muller, Felix Portnoy:
How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study. - Tiago A. E. Ferreira, Marios Mattheakis, Pavlos Protopapas:
A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function. - Imran Kabir, Shihab Uddin Ahamad, Mohammad Naim Uddin, Shah Mohazzem Hossain, Faija Farjana, Partha Protim Datta, Md. Raduanul Alam Riad, Mohammed Hossam-E.-Haider:
GSM-GPRS Based Smart Street Light. - Min Chen, Mateu Sbert:
Is the Chen-Sbert Divergence a Metric? - Ru Yang, Zhijun Ding, Changjun Jiang, MengChu Zhou:
Modeling and Analysis of Three Properties of Mobile Interactive Systems Based on Variable Petri Nets. - Daniel Cebo:
Scientific Relevance and Future of Digital Immortality and Virtual Humans. - Asad J. Khattak, Iman Mahdinia, Sevin Mohammadi, Amin Mohammadnazar, Behram Wali:
Big Data Generated by Connected and Automated Vehicles for Safety Monitoring, Assessment and Improvement, Final Report (Year 3). - Charlotte Stix, Matthijs M. Maas:
Bridging the Gap: the case for an Incompletely Theorized Agreement on AI policy. - Andreas L. Opdahl:
Knowledge Graphs and Natural-Language Processing. - Luciana Oliveira, Anabela Mesquita, Arminda Sequeira, Adriana Oliveira, Paulino Silva:
Context, input and process as critical elements for successful Emergency Remote Learning. - Ahmed Abdeljawad, Philipp Grohs:
Approximations with deep neural networks in Sobolev time-space. - Felipe A. Tobar, Felipe Bravo-Marquez, Jocelyn Dunstan, Joaquín Fontbona, Alejandro Maass, Daniel Remenik, Jorge F. Silva:
Data Science for Engineers: A Teaching Ecosystem. - Wenge Xu, Hai-Ning Liang, Kangyou Yu, Nilufar Baghaei:
Effect of Gameplay Uncertainty, Display Type, and Age on Virtual Reality Exergames. - Jason Gray, Daniele Sgandurra, Lorenzo Cavallaro:
Identifying Authorship Style in Malicious Binaries: Techniques, Challenges & Datasets. - Ana Guerberof Arenas, Antonio Toral:
The Impact of Post-editing and Machine Translation on Creativity and Reading Experience. - Daniel Obraczka, Jonathan Schuchart, Erhard Rahm:
EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs. - Marie Siew, Kun Guo, Desmond W. H. Cai, Lingxiang Li, Tony Q. S. Quek:
Let's Share VMs: Optimal Placement and Pricing across Base Stations in MEC Systems. - Jurriaan van Diggelen, Wiard Jorritsma, Bob van der Vecht:
Teaming up with information agents. - Jan Lauinger, Mudassar Aslam, Mohammad Hamad, Shahid Raza, Sebastian Steinhorst:
Quantitative System-Level Security Verification of the IoV Infrastructure. - Floris Jansen, Slinger Jansen, Fang Hou:
TrustSECO: An Interview Survey into Software Trust. - Andreas Grammenos, Themistoklis Charalambous, Evangelia Kalyvianaki:
CPU Scheduling in Data Centers Using Asynchronous Finite-Time Distributed Coordination Mechanisms. - Mats Mulder, Oana Inel, Jasper Oosterman, Nava Tintarev:
Operationalizing Framing to Support MultiperspectiveRecommendations of Opinion Pieces. - Fritz Lekschas, Spyridon Ampanavos, Pao Siangliulue, Hanspeter Pfister, Krzysztof Z. Gajos:
Ask Me or Tell Me? Enhancing the Effectiveness of Crowdsourced Design Feedback. - Niklas Kühl, Gerhard Satzger:
Needmining: Designing Digital Support to Elicit Needs from Social Media. - Avani Dave, Nilanjan Banerjee, Chintan Patel:
SRACARE: Secure Remote Attestation with Code Authentication and Resilience Engine. - Sarah Valentin, Elena Arsevska, Aline Vilain, Valérie De Waele, Renaud Lancelot, Mathieu Roche:
Annotation of epidemiological information in animal disease-related news articles: guidelines. - Nils Wieler, Julian Berberich, Anne Koch, Frank Allgöwer:
Data-Driven Controller Design via Finite-Horizon Dissipativity. - David Fernández Llorca, Antonio Hernández Martínez, Iván García Daza:
Vision-based Vehicle Speed Estimation for ITS: A Survey. - Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy:
Learning Invariant Representation for Continual Learning. - Guilherme Vieira, Marcos Eduardo Valle:
A General Framework for Hypercomplex-valued Extreme Learning Machines. - Duc Thien Nguyen, Shiau Hong Lim, Laura Wynter, Desmond Cai:
Probabilistic Inference for Learning from Untrusted Sources. - Yevgeniy Puzikov, Simoes Stanley, Iryna Gurevych, Immanuel Schweizer:
Empirical Evaluation of Supervision Signals for Style Transfer Models. - Yi Liu, Lutao Chu, Guowei Chen, Zewu Wu, Zeyu Chen, Baohua Lai, Yuying Hao:
PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation. - Miquel Junyent, Vicenç Gómez, Anders Jonsson:
Hierarchical Width-Based Planning and Learning. - Ankur Moitra, Elchanan Mossel, Colin Sandon:
Learning to Sample from Censored Markov Random Fields. - Suryanarayana Maddu, Dominik Sturm, Bevan L. Cheeseman, Christian L. Müller, Ivo F. Sbalzarini:
STENCIL-NET: Data-driven solution-adaptive discretization of partial differential equations. - Toby Perrett, Alessandro Masullo, Tilo Burghardt, Majid Mirmehdi, Dima Damen:
Temporal-Relational CrossTransformers for Few-Shot Action Recognition. - Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, Shinjae Yoo:
Hybrid Quantum-Classical Graph Convolutional Network. - Alexander van der Grinten, Eugenio Angriman, Maria Predari, Henning Meyerhenke:
New Approximation Algorithms for Forest Closeness Centrality - for Individual Vertices and Vertex Groups. - Yong Kiam Tan, André Platzer:
Switched Systems as Hybrid Programs. - Dilip Arumugam, Benjamin Van Roy:
Deciding What to Learn: A Rate-Distortion Approach. - Michèle Finck, Asia Biega:
Reviving Purpose Limitation and Data Minimisation in Personalisation, Profiling and Decision-Making Systems. - Christof Ferreira Torres, Antonio Ken Iannillo, Arthur Gervais, Radu State:
The Eye of Horus: Spotting and Analyzing Attacks on Ethereum Smart Contracts. - Konstantinos Stylianou, Leonhard Spiegelberg, Maurice Herlihy, Nic Carter:
Cryptoasset Competition and Market Concentration in the Presence of Network Effects. - Hsing-Chung Chen, Karisma Trinanda Putra, Jerry Chun-Wei Lin:
A Novel Prediction Approach for Exploring PM2.5 Spatiotemporal Propagation Based on Convolutional Recursive Neural Networks. - Francesco Tudisco, Desmond J. Higham:
Node and Edge Eigenvector Centrality for Hypergraphs. - Aalok Gangopadhyay, Prajwal Singh, Shanmuganathan Raman:
APEX-Net: Automatic Plot Extractor Network. - Jichen Zhu, Jennifer Villareale, Nithesh Javvaji, Sebastian Risi, Mathias Löwe, Rush Weigelt, Casper Harteveld:
Player-AI Interaction: What Neural Network Games Reveal About AI as Play. - Yuhuai Wu, Markus N. Rabe, Wenda Li, Jimmy Ba, Roger B. Grosse, Christian Szegedy:
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning. - Farshad Barahimi, Fernando V. Paulovich:
Multi-point dimensionality reduction to improve projection layout reliability. - Franklin Cardeñoso Fernandez, Wouter Caarls:
Deep Reinforcement Learning for Haptic Shared Control in Unknown Tasks. - Yuzhou Lin, Xiaolin Chang:
Towards interpreting ML-based automated malware detection models: a survey. - Tomoya Sakai, Naoto Ohsaka:
Predictive Optimization with Zero-Shot Domain Adaptation. - Tiantian Chen, Bin Liu, Wenjing Liu, Qizhi Fang, Jing Yuan, Weili Wu:
A Random Algorithm for Profit Maximization with Multiple Adoptions in Online Social Networks. - Isolde Adler, Polly Fahey:
Towards Approximate Query Enumeration with Sublinear Preprocessing Time. - Sajjad Amrollahi Biyouki, Hoon Hwangbo:
Blind Image Deblurring based on Kernel Mixture. - Daniel Karapetyan, Andrew J. Parkes:
Enhancing Security via Deliberate Unpredictability of Solutions in Optimisation. - Ali Taghibakhshi, Nathan Ogden, Matthew West:
Local Navigation and Docking of an Autonomous Robot Mower using Reinforcement Learning and Computer Vision. - Chuta Sano, Stephanie Balzer, Frank Pfenning:
Manifestly Phased Communication via Shared Session Types. - Daniel Moyer, Polina Golland:
Harmonization and the Worst Scanner Syndrome. - Davide Villa, Xinchao Song, Matthew Heim, Liangshe Li:
Internet of Robotic Things: Current Technologies, Applications, Challenges and Future Directions. - Kyriakos Axiotis, Maxim Sviridenko:
Local Search Algorithms for Rank-Constrained Convex Optimization. - Shivangi Aneja, Christoph Bregler, Matthias Nießner:
Catching Out-of-Context Misinformation with Self-supervised Learning. - Young-Ho Kim, Bongshin Lee, Arjun Srinivasan, Eun Kyoung Choe:
Data@Hand: Fostering Visual Exploration of Personal Data on Smartphones Leveraging Speech and Touch Interaction. - Mohammad Mehdi Afsar, Trafford Crump, Behrouz H. Far:
Reinforcement learning based recommender systems: A survey. - Heeseung Bang, Logan Beaver, Andreas A. Malikopoulos:
Energy-Optimal Goal Assignment of Multi-Agent System with Goal Trajectories in Polynomials. - Mahsa Moosavi, Jeremy Clark:
Trading on-chain: how feasible is regulators' worst-case scenario? - Olaf Steinbach, Marco Zank:
A generalized inf-sup stable variational formulation for the wave equation. - Eirik Valseth, Albert Romkes, Austin R. Kaul, Clint Dawson:
A Stable Mixed FE Method for Nearly Incompressible Linear Elastostatics. - Zhiwei He:
A second-order self-adjusting steepness based remapping method for arbitrary quadrilateral meshes. - Avani Dave, Nilanjan Banerjee, Chintan Patel:
CARE: Lightweight Attack Resilient Secure Boot Architecturewith Onboard Recovery for RISC-V based SOC. - Edward J. Oughton, Julius Kusuma, Thibault Peyronel, Jon Crowcroft:
Wi-Fi Wardriving Studies Must Account for Important Statistical Issues. - Will Crichton, Maneesh Agrawala, Pat Hanrahan:
The Role of Working Memory in Program Tracing. - Ibrahim Yilmaz, Kavish Kapoor, Ambareen Siraj, Mahmoud Abouyoussef:
Privacy Protection of Grid Users Data with Blockchain and Adversarial Machine Learning. - Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi, Anup Rao, Tung Mai:
Fundamental Tradeoffs in Distributionally Adversarial Training. - Daniel Osaku, Carolina F. Cuba, Celso T. N. Suzuki, Jancarlo F. Gomes, Alexandre X. Falcão:
Automated Diagnosis of Intestinal Parasites: A new hybrid approach and its benefits. - Mohammed I. Salman, Bin Wang:
Boosting performance for software defined networks from traffic engineering perspective. - Henry K. Dambanemuya, Emoke-Ágnes Horvát:
A Multi-Platform Study of Crowd Signals Associated with Successful Online Fundraising. - Yang-Hui He:
Machine-Learning Mathematical Structures. - Rahul Yedida, Xueqi Yang, Tim Menzies:
When SIMPLE is better than complex: A case study on deep learning for predicting Bugzilla issue close time. - Wei Wu, Hanjia Lyu, Jiebo Luo:
Characterizing Discourse about COVID-19 Vaccines: A Reddit Version of the Pandemic Story. - Sarah Schöttler, Yalong Yang, Hanspeter Pfister, Benjamin Bach:
Visualizing and Interacting with Geospatial Networks: A Survey and Design Space. - Jason Zhu, Yanling Cui, Yuming Liu, Hao Sun, Xue Li, Markus Pelger, Liangjie Zhang, Tianqi Yan, Ruofei Zhang, Huasha Zhao:
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search. - Alex John Quijano, Sam Nguyen, Juanita Ordonez:
Grid Search Hyperparameter Benchmarking of BERT, ALBERT, and LongFormer on DuoRC. - Zhenduo Wang, Qingyao Ai:
Controlling the Risk of Conversational Search via Reinforcement Learning. - Hyowon Lee, Mingming Liu, Hamza Riaz, Navaneethan Rajasekaren, Michael Scriney, Alan F. Smeaton:
Attention Based Video Summaries of Live Online Zoom Classes. - Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning. - Yang Jiao, Guangming Shi, Trac D. Tran:
Optical Flow Estimation via Motion Feature Recovery. - Avijit Banerjee, Jakub Haluska, Sumeet G. Satpute, Dariusz Kominiak, George Nikolakopoulos:
Slider: On the Design and Modeling of a 2D Floating Satellite Platform. - Jiaao Chen, Diyi Yang:
Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests. - Shoffan Saifullah, Yuli Fauziah, Agus Sasmito Aribowo:
Comparison of Machine Learning for Sentiment Analysis in Detecting Anxiety Based on Social Media Data. - Adam Mate, Eduardo Cotilla Sanchez:
Rapid Method for Generation Prioritization during System Restoration with Renewable Resources. - Erik D. Demaine, Yevhenii Diomidov:
Strings-and-Coins and Nimstring are PSPACE-complete. - Avani Dave, Monty Wiseman, David Safford:
SEDAT: Security Enhanced Device Attestation with TPM2.0. - Jinat Ara, Hanif Bhuiyan, Yeasin Arafat Bhuiyan, Salma Begum Bhyan, Muhammad Ismail Bhuiyan:
AR-based Modern Healthcare: A Review. - Ian Stewart, Diyi Yang, Jacob Eisenstein:
Tuiteamos o pongamos un tuit? Investigating the Social Constraints of Loanword Integration in Spanish Social Media. - MyungJoo Ham, Ji Joong Moon, Geunsik Lim, Jaeyun Jung, Hyoungjoo Ahn, Wook Song, Sangjung Woo, Parichay Kapoor, Dongju Chae, Gichan Jang, Yongjoo Ahn, Jihoon Lee:
NNStreamer: Efficient and Agile Development of On-Device AI Systems. - Shalini Pandey, George Karypis, Jaideep Srivastava:
An Empirical Comparison of Deep Learning Models for Knowledge Tracing on Large-Scale Dataset. - David Paz, Hengyuan Zhang, Henrik I. Christensen:
TridentNet: A Conditional Generative Model for Dynamic Trajectory Generation. - Hongtao Zhong, Shengjie Cao, Huazhong Yang, Xueqing Li:
Dynamic Ternary Content-Addressable Memory Is Indeed Promising: Design and Benchmarking Using Nanoelectromechanical Relays. - Shubh Gupta, Grace Xingxin Gao:
Data-Driven Protection Levels for Camera and 3D Map-based Safe Urban Localization. - Shubh Gupta, Grace Xingxin Gao:
A New Particle Filter Framework for Bayesian Receiver Autonomous Integrity Monitoring in Urban Environments. - Zhizhong Wang, Lei Zhao, Haibo Chen, Zhiwen Zuo, Ailin Li, Wei Xing, Dongming Lu:
Diversified Patch-based Style Transfer with Shifted Style Normalization. - Soumendu Chakraborty, Anand Singh Jalal:
A Novel Local Binary Pattern Based Blind Feature Image Steganography. - Hansi Zeng, Zhichao Xu, Qingyao Ai:
A Zero Attentive Relevance Matching Networkfor Review Modeling in Recommendation System. - Bohao Huang, Jichen Yang, Artem Streltsov, Kyle Bradbury, Leslie M. Collins, Jordan M. Malof:
GridTracer: Automatic Mapping of Power Grids using Deep Learning and Overhead Imagery. - Minxian Li, Xiatian Zhu, Shaogang Gong:
Unsupervised Noisy Tracklet Person Re-identification. - Ashish Kumar, James R. McBride, Gaurav Pandey:
Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles. - Shuo Yang, Lu Liu, Min Xu:
Free Lunch for Few-shot Learning: Distribution Calibration. - Sufeng Duan, Hai Zhao, Rui Wang:
To Understand Representation of Layer-aware Sequence Encoders as Multi-order-graph. - Jianyu Wang, Shanzheng Guan, Xiao-Lei Zhang:
Minimum-volume Multichannel Nonnegative matrix factorization for blind source separation. - Zixu Wang, Yishu Miao, Lucia Specia:
Latent Variable Models for Visual Question Answering. - Bingning Wang, Ting Yao, Weipeng Chen, Jingfang Xu, Xiaochuan Wang:
ComQA: Compositional Question Answering via Hierarchical Graph Neural Networks. - Ashish Kumar, Laxmidhar Behera:
Semi Supervised Deep Quick Instance Detection and Segmentation. - Sissi Xiaoxiao Wu, Zixian Wu, Shihui Chen, Gangqiang Li, Shengli Zhang:
Community Detection in Blockchain Social Networks. - Jingfei Chang, Yang Lu, Ping Xue, Yiqun Xu, Zhen Wei:
ACP: Automatic Channel Pruning via Clustering and Swarm Intelligence Optimization for CNN. - Ashish Kumar, Laxmidhar Behera:
Shape Back-Projection In 3D Scenes. - Ashish Kumar, Laxmidhar Behera:
DeepMI: A Mutual Information Based Framework For Unsupervised Deep Learning of Tasks. - Ashish Kumar, Mohit Vohra, Ravi Prakash, Laxmidhar Behera:
Towards Deep Learning Assisted Autonomous UAVs for Manipulation Tasks in GPS-Denied Environments. - Shaopeng Fu, Fengxiang He, Yue Xu, Dacheng Tao:
Bayesian Inference Forgetting. - Deepak Kumaraswamy, Shyam Murthy, Srinivas Vivek:
Revisiting Driver Anonymity in ORide. - Liang Pang, Yanyan Lan, Xueqi Cheng:
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. - Jie Yang, Soyeon Caren Han, Josiah Poon:
A Survey on Extraction of Causal Relations from Natural Language Text. - Mengying Guo, Tao Yi, Yuqing Zhu, Yungang Bao:
JITuNE: Just-In-Time Hyperparameter Tuning for Network Embedding Algorithms. - Zai Yang, Xunmeng Wu:
New Low Rank Optimization Model and Convex Approach for Robust Spectral Compressed Sensing. - Matthias Bolten, Marco Donatelli, Paola Ferrari, Isabella Furci:
A symbol based analysis for multigrid methods for Block-Circulant and Block-Toeplitz Systems. - Nuo Xu, Chunlei Huo, Jiacheng Guo, Yiwei Liu, Jian Wang, Chunhong Pan:
Adaptive Remote Sensing Image Attribute Learning for Active Object Detection. - Gloria Hyun-Jung Kwak, Christina Chen, Lowell Ling, Erina Ghosh, Leo Anthony Celi, Pan Hui:
Predicting Hyperkalemia in the ICU and Evaluation of Generalizability and Interpretability. - Dmitry Alexandrovsky, Susanne Putze, Valentin Schwind, Elisa D. Mekler, Jan David Smeddinck, Denise Kahl, Antonio Krüger, Rainer Malaka:
Evaluating User Experiences in Mixed Reality. - Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang:
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. - Mingming Liu, Long Cheng, Yingqi Gu, Ying Wang, Qingzhi Liu, Noel E. O'Connor:
MPC-CSAS: Multi-Party Computation for Real-time Privacy-preserving Speed Advisory Systems. - Mengjie Chen, Daoyuan Wu, Xiao Yi, Jianliang Xu:
AGChain: A Blockchain-based Gateway for Permanent, Distributed, and Secure App Delegation from Existing Mobile App Markets. - Sumukh K. Aithal, Dhruva Kashyap, Natarajan Subramanyam:
Robustness to Augmentations as a Generalization metric. - Lin Sok:
On linear codes with one-dimensional Euclidean hull and their applications to EAQECCs. - Yunpeng Luo, Jiayi Ji, Xiaoshuai Sun, Liujuan Cao, Yongjian Wu, Feiyue Huang, Chia-Wen Lin, Rongrong Ji:
Dual-Level Collaborative Transformer for Image Captioning. - Jianfeng Wang, Tamás Lévai, Zhuojin Li, Marcos Augusto M. Vieira, Ramesh Govindan, Barath Raghavan:
Galleon: Reshaping the Square Peg of NFV. - Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen:
Learning the Implicit Semantic Representation on Graph-Structured Data. - Maxwell Mbabilla Aladago, Lorenzo Torresani:
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks. - Arunav Das:
Visual Analytics approach for finding spatiotemporal patterns from COVID19. - Rongrong Liu, Florent Nageotte, Philippe Zanne, Michel de Mathelin, Birgitta Dresp-Langley:
Wearable Sensors for Spatio-Temporal Grip Force Profiling. - Byoungjip Kim, Jinho Choo, Yeong-Dae Kwon, Seongho Joe, Seungjai Min, Youngjune Gwon:
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning. - Birgitta Dresp-Langley:
From hand to brain and back: Grip forces deliver insight into the functional plasticity of somatosensory processes. - Hamed Jelodar, Rita Orji, Stan Matwin, Swarna Weerasinghe, Oladapo Oyebode, Yongli Wang:
Artificial Intelligence for Emotion-Semantic Trending and People Emotion Detection During COVID-19 Social Isolation. - Bohdan Trach, Rasha Faqeh, Oleksii Oleksenko, Wojciech Ozga, Pramod Bhatotia, Christof Fetzer:
T-Lease: A Trusted Lease Primitive for Distributed Systems. - Alexander Robey, Lars Lindemann, Stephen Tu, Nikolai Matni:
Learning Robust Hybrid Control Barrier Functions for Uncertain Systems. - Livia Elena Chatzieleftheriou, Apostolos Destounis, Georgios S. Paschos, Iordanis Koutsopoulos:
Blind Optimal User Association in Small-Cell Networks. - David Gunderman, Kenneth Weiss, John A. Evans:
High-accuracy mesh-free quadrature for trimmed parametric surfaces and volumes. - Mark G. Bandyk, Dheeraj R. Gopireddy, Chandana Lall, K. C. Balaji, Jose Dolz:
Bladder segmentation based on deep learning approaches: current limitations and lessons. - Jawad Mirza, Bakhtiar Ali, Muhammad Awais Javed:
Stable Matching for Selection of Intelligent Reflecting Surfaces in Multiuser MISO Systems. - Karol Mikula, Martin Ambroz, Renata Mokosova:
What was the river Ister in the time of Strabo? A mathematical approach. - Jia Liu, Yaochu Jin:
Multi-objective Search of Robust Neural Architectures against Multiple Types of Adversarial Attacks. - Yu Feng, Yuhai Tu:
Phases of learning dynamics in artificial neural networks: with or without mislabeled data. - Yigit Alparslan, Ethan Jacob Moyer, Isamu Mclean Isozaki, Daniel Schwartz, Adam Dunlop, Shesh Dave, Edward Kim:
Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems. - Qianzhi Zhang, Zixiao Ma, Yongli Zhu, Zhaoyu Wang:
Frequency Dynamics Constrained Sequential Service Restoration in Inverter-Dominated Microgrids. - A. B. Siddique, Fuad T. Jamour, Vagelis Hristidis:
Linguistically-Enriched and Context-Aware Zero-shot Slot Filling. - Yigit Alparslan, Ethan Jacob Moyer, Edward Kim:
Evaluating Online and Offline Accuracy Traversal Algorithms for k-Complete Neural Network Architectures. - Faisal Alsakran, Gueltoum Bendiab, Stavros Shiaeles, Nicholas Kolokotronis:
Intrusion Detection Systems for Smart Home IoT Devices: Experimental Comparison Study. - Jesse Zhang, Haonan Yu, Wei Xu:
Hierarchical Reinforcement Learning By Discovering Intrinsic Options. - Yong Zhang, Mao Ye, Lin Guan:
Overlap-Minimization Scheduling Strategy for Data Transmission in VANET. - Atousa Zarindast, Anuj Sharma:
Big Data application in congestion detection and classification using Apache spark. - Chen Ling, Ihab AbuHilal, Jeremy Blackburn, Emiliano De Cristofaro, Savvas Zannettou, Gianluca Stringhini:
Dissecting the Meme Magic: Understanding Indicators of Virality in Image Memes. - Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller:
Deep Cox Mixtures for Survival Regression. - Yanfang Le, Radhika Niranjan Mysore, Lalith Suresh, Gerd Zellweger, Sujata Banerjee, Aditya Akella, Michael M. Swift:
PL2: Towards Predictable Low Latency in Rack-Scale Networks. - Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun:
SceneGen: Learning to Generate Realistic Traffic Scenes. - Chandra Shekhar Maddila, Nachiappan Nagappan, Christian Bird, Georgios Gousios, Arie van Deursen:
ConE: A Concurrent Edit Detection Tool for Large ScaleSoftware Development. - Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun:
GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition. - Namdar Homayounfar, Justin Liang, Wei-Chiu Ma, Raquel Urtasun:
VideoClick: Video Object Segmentation with a Single Click. - Alexander Cui, Abbas Sadat, Sergio Casas, Renjie Liao, Raquel Urtasun:
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving. - Ghayoor Shah, Md Saifuddin, Yaser P. Fallah, Somak Datta Gupta:
RVE-CV2X: A Scalable Emulation Framework for Real-Time Evaluation of CV2X-Based Connected Vehicle Applications. - Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun:
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. - Andrew Gloster:
GPU Methodologies for Numerical Partial Differential Equations. - Isa Inuwa-Dutse, Mark Liptrott, Yannis Korkontzelos:
A multilevel clustering technique for community detection. - Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun:
Self-Supervised Representation Learning from Flow Equivariance. - Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer:
Diverse Complexity Measures for Dataset Curation in Self-driving. - Simon Suo, Sebastian Regalado, Sergio Casas, Raquel Urtasun:
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors. - Rahul Arun Paropkari, Anurag Thantharate, Cory C. Beard:
Deep-Mobility: A Deep Learning Approach for an Efficient and Reliable 5G Handover. - James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun:
Adversarial Attacks On Multi-Agent Communication. - Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld:
GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation. - Anqi Joyce Yang, Can Cui, Ioan Andrei Bârsan, Raquel Urtasun, Shenlong Wang:
Asynchronous Multi-View SLAM. - Runqiu Bao, Ren Komatsu, Renato Miyagusuku, Masaki Chino, Atsushi Yamashita, Hajime Asama:
Stereo Camera Visual SLAM with Hierarchical Masking and Motion-state Classification at Outdoor Construction Sites Containing Large Dynamic Objects. - Sharare Zehtabian, Siavash Khodadadeh, Ladislau Bölöni, Damla Turgut:
Privacy-Preserving Learning of Human Activity Predictors in Smart Environments. - Christantus O. Nnamani, Muhammad R. A. Khandaker, Mathini Sellathurai:
Joint Beamforming and Location Optimization for Secure Data Collection in Wireless Sensor Networks with UAV-Carried Intelligent Reflecting Surface. - Yankai Chen, Yaozu Wu, Shicheng Ma, Irwin King:
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data. - Iyiola E. Olatunji, Wolfgang Nejdl, Megha Khosla:
Membership Inference Attack on Graph Neural Networks. - Ze Yang, Shenlong Wang, Sivabalan Manivasagam, Zeng Huang, Wei-Chiu Ma, Xinchen Yan, Ersin Yumer, Raquel Urtasun:
S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling. - Stefan Maetschke, David Martinez Iraola, Pieter Barnard, Elaheh ShafieiBavani, Peter Zhong, Ying Xu, Antonio Jimeno-Yepes:
Understanding in Artificial Intelligence. - Shaoshi Chen, Ruyong Feng, Ziming Li, Michael F. Singer, Stephen M. Watt:
Telescopers for differential forms with one parameter. - Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du:
Physics-Informed Deep Learning for Traffic State Estimation. - Yiwen Han, Shihao Shen, Xiaofei Wang, Shiqiang Wang, Victor C. M. Leung:
Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System. - Tomonori Kouya:
Acceleration of multiple precision matrix multiplication based on multi-component floating-point arithmetic using AVX2. - Bin Yang, Min Bai, Ming Liang, Wenyuan Zeng, Raquel Urtasun:
Auto4D: Learning to Label 4D Objects from Sequential Point Clouds. - Jingkang Wang, Mengye Ren, Ilija Bogunovic, Yuwen Xiong, Raquel Urtasun:
Cost-Efficient Online Hyperparameter Optimization. - Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun:
PLUME: Efficient 3D Object Detection from Stereo Images. - Debajyoti Mondal:
Simultaneous Embedding of Colored Graphs. - Pan Zibin:
Performance Analysis and Improvement of Parallel Differential Evolution. - Mohammed Gharib, Fatemeh Afghah, Elizabeth S. Bentley:
OPAR: Optimized Predictive and Adaptive Routing for Cooperative UAV Networks. - Jiahui Huang, He Wang, Tolga Birdal, Minhyuk Sung, Federica Arrigoni, Shi-Min Hu, Leonidas J. Guibas:
MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization. - Wenyuan Zeng, Yuwen Xiong, Raquel Urtasun:
Network Automatic Pruning: Start NAP and Take a Nap. - Alejandra Ciria, Guido Schillaci, Giovanni Pezzulo, Verena V. Hafner, Bruno Lara:
Predictive Processing in Cognitive Robotics: a Review. - Anqi Liu, Hao Liu, Tongxin Li, Saeed Karimi-Bidhendi, Yisong Yue, Anima Anandkumar:
Disentangling Observed Causal Effects from Latent Confounders using Method of Moments. - Quang-Ha Pham, Ngoc-Huy Tran, Thanh-Toan Nguyen, Thien-Phuc Tran:
Online Robust Sliding-Windowed LiDAR SLAM in Natural Environments. - Jinye Peng, Jiaxin Wang, Jun Wang, Erlei Zhang, Qunxi Zhang, Yongqin Zhang, Xianlin Peng, Kai Yu:
A relic sketch extraction framework based on detail-aware hierarchical deep network. - Farhad Rezazadeh, Hatim Chergui, Luis Alonso, Christos V. Verikoukis:
Continuous Multi-objective Zero-touch Network Slicing via Twin Delayed DDPG and OpenAI Gym. - (Withdrawn) Aggregated Network for Massive MIMO CSI Feedback.
- Ruiyang Xu, Karl J. Lieberherr:
Solving QSAT problems with neural MCTS. - Ardhendu Behera, Zachary Wharton, Morteza Ghahremani, Swagat Kumar, Nik Bessis:
Regional Attention Network (RAN) for Head Pose and Fine-grained Gesture Recognition. - Ardhendu Behera, Zachary Wharton, Pradeep Hewage, Asish Bera:
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification. - Zachary Wharton, Ardhendu Behera, Yonghuai Liu, Nik Bessis:
Coarse Temporal Attention Network (CTA-Net) for Driver's Activity Recognition. - Rabia Azzi, Gayo Diallo:
AMALGAM: A Matching Approach to fairfy tabuLar data with knowledGe grAph Model. - Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon:
Removing Undesirable Feature Contributions Using Out-of-Distribution Data. - Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Estimating informativeness of samples with Smooth Unique Information. - Théophile Sautory, Nuri Cingillioglu, Alessandra Russo:
HySTER: A Hybrid Spatio-Temporal Event Reasoner. - Piotr Borowiecki, Dariusz Dereniowski, Dorota Osula:
The Complexity of Bicriteria Tree-Depth. - Liang Liao, Xuechun Zhang, Xinqiang Wang, Sen Lin, Xin Liu:
Generalized Image Reconstruction over T-Algebra. - Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun:
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting. - Farhad Rezazadeh, Hatim Chergui, Christos V. Verikoukis:
Zero-touch Continuous Network Slicing Control via Scalable Actor-Critic Learning. - Yan Wu, Zhiwu Huang, Suryansh Kumar, Rhea Sanjay Sukthanker, Radu Timofte, Luc Van Gool:
Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution. - Dibakar Das, Mohammad Fahad Imteyaz, Jyotsna Bapat, Debabrata Das:
A Non-intrusive Failure Prediction Mechanism for Deployed Optical Networks. - Shuangping Jin, Zhenhua Feng, Wankou Yang, Josef Kittler:
Separable Batch Normalization for Robust Facial Landmark Localization with Cross-protocol Network Training. - Vinay Saxena, Ankitha Reddy, Jonathan Neudorfer, John L. Gustafson, Sangeeth Nambiar, Rainer Leupers, Farhad Merchant:
Brightening the Optical Flow through Posit Arithmetic. - An Le Ha, Trinh Van Chien, Tien Hoa Nguyen, Wan Choi, Van Duc Nguyen:
Deep Learning-Aided 5G Channel Estimation. - Ali Shahidinejad, Mostafa Ghobaei-Arani, Alireza Souri, Mohammad Shojafar, Saru Kumari:
A Technical Report for Light-Edge: A Lightweight Authentication Protocol for IoT Devices in an Edge-Cloud Environment. - Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun:
End-to-end Interpretable Neural Motion Planner. - Ivan Hristov, Radoslava Hristova, Stefka Dimova, Petar Armyanov, Nikolay Shegunov, Igor V. Puzynin, Taisia P. Puzynina, Zarif Sharipov, Zafar Tukhliev:
On the efficient parallel computing of long term reliable trajectories for the Lorenz system. - Po-Hsiang Yu, Sih-Sian Wu, Liang-Gee Chen:
KCP: Kernel Cluster Pruning for Dense Labeling Neural Networks. - Cheng Yi, Shiyu Zhou, Bo Xu:
Efficiently Fusing Pretrained Acoustic and Linguistic Encoders for Low-resource Speech Recognition. - Dachuan Shi, Eldar Sabanovic, Luca Rizzetto, Viktor Skrickij, Roberto Oliverio, Nadia Kaviani, Yunguang Ye, Gintautas Bureika, Stefano Ricci, Markus Hecht:
Deep Learning based Virtual Point Tracking for Real-Time Target-less Dynamic Displacement Measurement in Railway Applications. - Nodens Koren, Qiuhong Ke, Yisen Wang, James Bailey, Xingjun Ma:
Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions. - Niloy Sikder, Md. Sanaullah Chowdhury, Abu Shamim Mohammad Arif, Abdullah Al Nahid:
Human Activity Recognition Using Multichannel Convolutional Neural Network. - Niloy Sikder, Abu Shamim Mohammad Arif, Abdullah Al Nahid:
Heterogeneous Hand Guise Classification Based on Surface Electromyographic Signals Using Multichannel Convolutional Neural Network. - Francesco Ferrante, Andrea Cristofaro:
Observer Design for Systems of Conservation Laws with Lipschitz Nonlinear Boundary Dynamics. - John Phillips, Julieta Martinez, Ioan Andrei Bârsan, Sergio Casas, Abbas Sadat, Raquel Urtasun:
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction. - Lev Yohananov, Eitan Yaakobi:
Almost Optimal Construction of Functional Batch Codes Using Hadamard Codes. - Gianfranco Parlangeli, Maria Elena Valcher:
On the detection and identification of edge disconnections in a multi-agent consensus network. - João Caldeira, Fernando Brito e Abreu, Jorge Cardoso, Ricardo Ribeiro, Cláudia M. L. Werner:
Profiling Software Developers with Process Mining and N-Gram Language Models. - Michele Missikoff, Pierluigi Assogna:
The BIVEE Project: an overview of methodology and tools. - Jamie J. Alnasir:
Ten Simple Rules for Success with HPC, i.e. Responsibly BASHing that Linux Cluster. - Mateus Roder, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, André L. D. Rossi, João P. Papa:
Energy-based Dropout in Restricted Boltzmann Machines: Why not go random. - Shenlong Wang, Simon Suo, Wei-Chiu Ma, Andrei Pokrovsky, Raquel Urtasun:
Deep Parametric Continuous Convolutional Neural Networks. - Ron Yosef, Matan Mizrachi, Ohr Kadrawi:
On Unimodality of Independence Polynomials of Trees. - Umair Zulfiqar, Victor Sreeram, Mian Ilyas Ahmad, Xin Du:
Frequency-weighted H2-optimal Model Order Reduction via Projection. - Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Barbara Caroline Benato, Alexandre Xavier Falcão, João Paulo Papa:
Intestinal Parasites Classification Using Deep Belief Networks. - Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Clayton R. Pereira, João Paulo Papa:
A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks. - Mathieu Huot, Sam Staton, Matthijs Vákár:
Higher Order Automatic Differentiation of Higher Order Functions. - Massimo Cafaro, Catiuscia Melle, Italo Epicoco, Marco Pulimeno:
Data stream fusion for accurate quantile tracking and analysis. - Baptiste Saleil, Michael D. Adams:
Proceedings of the 2020 Scheme and Functional Programming Workshop. - Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Haoyuan Liu, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song:
A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence. - Ziyu Xiong, Pin Li, Hanjia Lyu, Jiebo Luo:
From Gen Z, Millennials, to Babyboomers: Portraits of Working from Home during the COVID-19 Pandemic. - Minas Chatzos, Terrence W. K. Mak, Pascal Van Hentenryck:
Spatial Network Decomposition for Fast and Scalable AC-OPF Learning. - Qing Tian, Sampath Chanda, K. C. Amit Kumar, Douglas Gray:
Improving Apparel Detection with Category Grouping and Multi-grained Branches. - Zejin Wang, Guodong Sun, Lina Zhang, Guoqing Li, Hua Han:
Temporal Spatial-Adaptive Interpolation with Deformable Refinement for Electron Microscopic Images. - Adria Ruiz, Antonio Agudo, Francesc Moreno:
Generating Attribution Maps with Disentangled Masked Backpropagation. - Sara Mesquita, Cláudio Haupt Vieira, Lília Perfeito, Joana Gonçalves-Sá:
Learning from pandemics: using extraordinary events can improve disease now-casting models. - Jinning Li, Liting Sun, Masayoshi Tomizuka, Wei Zhan:
A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning. - Saket Dingliwal, Bill Gao, Sanchit Agarwal, Chien-Wei Lin, Tagyoung Chung, Dilek Hakkani-Tür:
Few Shot Dialogue State Tracking using Meta-learning. - Mudabbir Kaleem, Weidong Shi:
Demystifying Pythia: A Survey of ChainLink Oracles Usage on Ethereum. - James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun:
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving. - Linjun Li, Yinglong Miao, Ahmed Hussain Qureshi, Michael C. Yip:
MPC-MPNet: Model-Predictive Motion Planning Networks for Fast, Near-Optimal Planning under Kinodynamic Constraints. - Zheng Liu, Xiaohan Li, Hao Peng, Lifang He, Philip S. Yu:
Heterogeneous Similarity Graph Neural Network on Electronic Health Records. - Hemant Saxena, Lukasz Golab, Stratos Idreos, Ihab F. Ilyas:
Real-Time LSM-Trees for HTAP Workloads. - Liu Yang, Tingwei Meng, George Em Karniadakis:
Measure-conditional Discriminator with Stationary Optimum for GANs and Statistical Distance Surrogates. - Nikos Papasarantopoulos, Shay B. Cohen:
Narration Generation for Cartoon Videos. - Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen:
What Makes Good In-Context Examples for GPT-3? - Sergio Casas, Abbas Sadat, Raquel Urtasun:
MP3: A Unified Model to Map, Perceive, Predict and Plan. - Farhad Farokhi:
Optimal Pre-Processing to Achieve Fairness and Its Relationship with Total Variation Barycenter. - Jiali Wang, Zhengchun Liu, Ian T. Foster, Won Chang, Rajkumar Kettimuthu, Rao Kotamarthi:
Fast and accurate learned multiresolution dynamical downscaling for precipitation. - Arvind K. Saibaba:
Approximating monomials using Chebyshev polynomials. - Uno Fang, Jianxin Li, Xuequan Lu, Mumtaz Ali, Longxiang Gao, Yong Xiang:
Chaotic-to-Fine Clustering for Unlabeled Plant Disease Images. - Yong-Bin Kang, Hung Du, Abdur Rahim Mohammad Forkan, Prem Prakash Jayaraman, Amir Aryani, Timos Sellis:
ExpFinder: An Ensemble Expert Finding Model Integrating N-gram Vector Space Model and μCO-HITS. - Makai Mann, Ahmed Irfan, Alberto Griggio, Oded Padon, Clark W. Barrett:
Counterexample-Guided Prophecy for Model Checking Modulo the Theory of Arrays. - Wanguang Yin, Zhengming Ma, Quanying Liu:
HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction. - Tianxing He, Bryan McCann, Caiming Xiong, Ehsan Hosseini-Asl:
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models. - Jerry Liu, Wenyuan Zeng, Raquel Urtasun, Ersin Yumer:
Deep Structured Reactive Planning. - Jaime Arias, Wojciech Penczek, Laure Petrucci, Teofil Sidoruk:
Minimal Schedule with Minimal Number of Agents in Attack-Defence Trees. - Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, Olatunji Ruwase, Shuangyan Yang, Minjia Zhang, Dong Li, Yuxiong He:
ZeRO-Offload: Democratizing Billion-Scale Model Training. - Naoya Takahashi, Mayank Kumar Singh, Yuki Mitsufuji:
Hierarchical disentangled representation learning for singing voice conversion. - Lin Zhou, Alfred O. Hero III:
Resolution Limits of Non-Adaptive 20 Questions Search for Multiple Targets. - Bilal Hammoud, Luca Olivieri, Ludovic Righetti, Justin Carpentier, Andrea Del Prete:
Fast and Accurate Multi-Body Simulation with Stiff Viscoelastic Contacts. - Thulasi Tholeti, Sheetal Kalyani:
On the Differentially Private Nature of Perturbed Gradient Descent. - Isaac J. Sledge, José C. Príncipe:
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations. - Qi Ming, Lingjuan Miao, Zhiqiang Zhou, Yunpeng Dong:
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images. - Md Fazle Rabby, Yazhou Tu, Md. Imran Hossen, Insup Lee, Anthony S. Maida, Xiali Hei:
Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction. - Muhammad Mohebujjaman:
High order efficient algorithm for computation of MHD flow ensembles. - Jinyin Chen, Dunjie Zhang, Zhaoyan Ming, Kejie Huang:
GraphAttacker: A General Multi-Task GraphAttack Framework. - Shivam Duggal, Zihao Wang, Wei-Chiu Ma, Sivabalan Manivasagam, Justin Liang, Shenlong Wang, Raquel Urtasun:
Secrets of 3D Implicit Object Shape Reconstruction in the Wild. - Chao Shang, Jie Chen, Jinbo Bi:
Discrete Graph Structure Learning for Forecasting Multiple Time Series. - Yichi Qian, Feng Yuan, Hanjia Lyu, Jiebo Luo:
Understanding Patterns of Users Who Repost Censored Posts on Weibo. - Min Bai, Shenlong Wang, Kelvin Wong, Ersin Yumer, Raquel Urtasun:
Non-parametric Memory for Spatio-Temporal Segmentation of Construction Zones for Self-Driving. - Alexander Ke, William Ellsworth, Oishi Banerjee, Andrew Y. Ng, Pranav Rajpurkar:
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation. - Qintong Li, Piji Li, Xinyi Li, Zhaochun Ren, Zhumin Chen, Maarten de Rijke:
Abstractive Opinion Tagging. - Guangyu Huo, Yong Zhang, Junbin Gao, Boyue Wang, Yongli Hu, Baocai Yin:
CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional Network for Clustering. - Milan Papez, Anthony Quinn:
Transferring model structure in Bayesian transfer learning for Gaussian process regression. - Shunyao Wu, Muhammad Alrabeiah, Andrew Hredzak, Chaitali Chakrabarti, Ahmed Alkhateeb:
Deep Learning for Moving Blockage Prediction using Real Millimeter Wave Measurements. - Yuchen Liang, Chaitanya K. Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed J. Zaki, Dmitry Krotov:
Can a Fruit Fly Learn Word Embeddings? - Heechang Ryu, Hayong Shin, Jinkyoo Park:
Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning. - Jesse Geneson:
A note on the price of bandit feedback for mistake-bounded online learning. - Antoni Rosinol, Andrew Violette, Marcus Abate, Nathan Hughes, Yun Chang, Jingnan Shi, Arjun Gupta, Luca Carlone:
Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene Graphs. - Yuanchun Li, Jiayi Hua, Haoyu Wang, Chunyang Chen, Yunxin Liu:
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection. - Abhijeet Sahu, Zeyu Mao, Patrick Wlazlo, Hao Huang, Katherine R. Davis, Ana E. Goulart, Saman A. Zonouz:
Multi-Source Data Fusion for Cyberattack Detection in Power Systems. - Shihao Zhao, Xingjun Ma, Yisen Wang, James Bailey, Bo Li, Yu-Gang Jiang:
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space. - Bruno Henrique Groenner Barbosa, Neel Pratik Bhatt, Amir Khajepour, Ehsan Hashemi:
Soft Constrained Autonomous Vehicle Navigation using Gaussian Processes and Instance Segmentation. - Jun Li, Yumeng Shao, Kang Wei, Ming Ding, Chuan Ma, Long Shi, Zhu Han, H. Vincent Poor:
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation. - Kanata Suzuki, Tetsuya Ogata:
Stable deep reinforcement learning method by predicting uncertainty in rewards as a subtask. - Sissi Xiaoxiao Wu, Sherry Xueying Ni, Jiaying Li, Anthony Man-Cho So:
Quartic Perturbation-based Outage-constrained Robust Design in Two-hop One-way Relay Networks. - Jiping Yu, Wei Qin, Xiaowei Zhu, Zhenbo Sun, Jianqiang Huang, Xiaohan Li, Wenguang Chen:
DFOGraph: An I/O- and Communication-Efficient System for Distributed Fully-out-of-Core Graph Processing. - Hitkul, Avinash Prabhu, Dipanwita Guhathakurta, Jivitesh Jain, Mallika Subramanian, Manvith Reddy, Shradha Sehgal, Tanvi Karandikar, Amogh Gulati, Udit Arora, Rajiv Ratn Shah, Ponnurangam Kumaraguru:
Capitol (Pat)riots: A comparative study of Twitter and Parler. - Praveen Damacharla, Achuth Rao M. V, Jordan Ringenberg, Ahmad Y. Javaid:
TLU-Net: A Deep Learning Approach for Automatic Steel Surface Defect Detection. - Mahathi Anand, Abolfazl Lavaei, Majid Zamani:
From Small-Gain Theory to Compositional Construction of Barrier Certificates for Large-Scale Stochastic Systems. - Sissi Xiaoxiao Wu, Gangqiang Li, Shengli Zhang, Xiaohui Lin:
Detection of Insider Attacks in Distributed Projected Subgradient Algorithms. - Kun He, Christina Muro, Boyu Li:
Unsupervised Link and Unlink Prediction on Dynamic Networks. - Ilia Shilov, Hélène Le Cadre, Ana Busic:
Privacy Impact on Generalized Nash Equilibrium in Peer-to-Peer Electricity Market. - Chang Cai, Xiaojun Yuan, Wenjing Yan, Zhouyang Huang, Ying-Chang Liang, Wei Zhang:
Hierarchical Passive Beamforming for Reconfigurable Intelligent Surface Aided Communications. - Peter Müllner, Dominik Kowald, Elisabeth Lex:
Robustness of Meta Matrix Factorization Against Strict Privacy Constraints. - Fan Yang, Ninghao Liu, Mengnan Du, Xia Hu:
Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation. - Xian Shi, Xun Xu, Ke Chen, Lile Cai, Chuan Sheng Foo, Kui Jia:
Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach. - Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund:
(ε, n) Fixed-Length Strong Coordination Capacity. - Yongqi Li, Wenjie Li, Liqiang Nie:
Incremental Knowledge Based Question Answering. - Wen-Liang Hwang, Shih-Shuo Tung:
Learning DNN networks using un-rectifying ReLU with compressed sensing application. - Zhe Zhang, Chensi Zhang, Chengjun Jiang, Fan Jia, Jianhua Ge, Fengkui Gong:
Improving Physical Layer Security for Reconfigurable Intelligent Surface aided NOMA 6G Networks. - Harsh Patel:
HinFlair: pre-trained contextual string embeddings for pos tagging and text classification in the Hindi language. - Qiang Zhou, Jingjing Gu, Xinjiang Lu, Fuzhen Zhuang, Yanchao Zhao, Qiuhong Wang, Xiao Zhang:
Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction. - Thibaut Balabonski, Pierre Courtieu, Robin Pelle, Lionel Rieg, Sébastien Tixeuil, Xavier Urbain:
Computer Aided Formal Design of Swarm Robotics Algorithms. - Javier Fumanal-Idocin, Yu-Kai Wang, Chin-Teng Lin, Javier Fernández, José Antonio Sanz, Humberto Bustince:
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions. - Zhengyan Zhang, Guangxuan Xiao, Yongwei Li, Tian Lv, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Xin Jiang, Maosong Sun:
Red Alarm for Pre-trained Models: Universal Vulnerabilities by Neuron-Level Backdoor Attacks. - Fatema T. Johora, Dongfang Yang, Jörg P. Müller, Ümit Özgüner:
On the Generalizability of Motion Models for Road Users in Heterogeneous Shared Traffic Spaces. - Kutalmis Gokalp Ince, Aybora Koksal, Arda Fazla, A. Aydin Alatan:
Semi-Automatic Video Annotation For Object Detection. - Athira Subhash, Sheetal Kalyani, Yazan H. Al-Badarneh, Mohamed-Slim Alouini:
On the Asymptotic Performance Analysis of the k-th Best Link Selection over Non-identical Non-central Chi-square Fading Channels. - Sebastian Hofstätter, Aldo Lipani, Sophia Althammer, Markus Zlabinger, Allan Hanbury:
Mitigating the Position Bias of Transformer Models in Passage Re-Ranking. - Jingwei Liang, Clarice Poon:
Screening for Sparse Online Learning. - Luyu Gao, Yunyi Zhang:
Scaling Deep Contrastive Learning Batch Size with Almost Constant Peak Memory Usage. - Jesús Lovón-Melgarejo, Laure Soulier, Karen Pinel-Sauvagnat, Lynda Tamine:
Studying Catastrophic Forgetting in Neural Ranking Models. - Richard Mayr, Sven Schewe, Patrick Totzke, Dominik Wojtczak:
Simple Stochastic Games with Almost-Sure Energy-Parity Objectives are in NP and coNP. - Mingxuan Li, Yuanxun Shao:
Deep Compression of Neural Networks for Fault Detection on Tennessee Eastman Chemical Processes. - N. R. Aravind, Roopam Saxena:
An FPT algorithm for Matching Cut. - Emmanouil Angelidis, Emanuel Buchholz, Jonathan Patrick Arreguit O'Neil, Alexis Rougé, Terrence C. Stewart, Axel von Arnim, Alois C. Knoll, Auke Jan Ijspeert:
A Spiking Central Pattern Generator for the control of a simulated lamprey robot running on SpiNNaker and Loihi neuromorphic boards. - Federico Danieli, Ben S. Southworth, Andrew J. Wathen:
Space-time block preconditioning for incompressible flow. - Thang X. Vu, Symeon Chatzinotas, Van-Dinh Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Marco Di Renzo, Björn E. Ottersten:
Machine Learning-Enabled Joint Antenna Selection and Precoding Design: From Offline Complexity to Online Performance. - Piotr E. Srokosz, Marcin Bujko, Marta Bochenska, Rafal Ossowski:
Optical Flow Method for Measuring Deformation of Soil Specimen Subjected to Torsional Shearing. - Honglin Li, Roonak Rezvani, Magdalena Anita Kolanko, David J. Sharp, Maitreyee Wairagkar, Ravi Vaidyanathan, Ramin Nilforooshan, Payam M. Barnaghi:
An attention model to analyse the risk of agitation and urinary tract infections in people with dementia. - Ali Salloum, Ted Hsuan Yun Chen, Mikko Kivelä:
Separating Controversy from Noise: Comparison and Normalization of Structural Polarization Measures. - Hisham Husain, Kamil Ciosek, Ryota Tomioka:
Regularized Policies are Reward Robust. - Jae Woong Soh, Nam Ik Cho:
Deep Universal Blind Image Denoising. - Laura Scarabosio:
Deep neural network surrogates for non-smooth quantities of interest in shape uncertainty quantification. - José González Cabañas, Ángel Cuevas, Rubén Cuevas, Martin Maier:
Digital Contact Tracing: Large-scale Geolocation Data as an Alternative to Bluetooth-based Apps' Failure. - Masatoshi Hanai, Nikos Tziritas, Toyotaro Suzumura, Wentong Cai, Georgios Theodoropoulos:
Time-Efficient and High-Quality Graph Partitioning for Graph Dynamic Scaling. - Petros Petsinis, Athanasios Naskos, Anastasios Gounaris:
Analysis of key flavors of event-driven predictive maintenance using logs of phenomena described by Weibull distributions. - Gusi Te, Wei Hu, Yinglu Liu, Hailin Shi, Tao Mei:
Adaptive Graph Representation Learning and Reasoning for Face Parsing. - Léo Exibard, Emmanuel Filiot, Nathan Lhote, Pierre-Alain Reynier:
Computability of Data-Word Transductions over Different Data Domains. - Shreyank N. Gowda, Laura Sevilla-Lara, Frank Keller, Marcus Rohrbach:
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition. - Samrat Mukhopadhyay, Abhishek Sinha:
Online Caching with Optimal Switching Regret. - Justin Bayer, Maximilian Soelch, Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt:
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models. - Andrey Krekhov, Jens H. Krüger:
Deadeye: A Novel Preattentive Visualization Technique Based on Dichoptic Presentation. - Ahmed Eleliemy, Florina M. Ciorba:
A Distributed Chunk Calculation Approach for Self-scheduling of Parallel Applications on Distributed-memory Systems. - Iman Saberi, Fathiyeh Faghih, Farzad Sobhi Bavil:
A Passive Online Technique for Learning Hybrid Automata from Input/Output Traces. - R. Nemer, Aurélien Larcher, Thierry Coupez, Elie Hachem:
Stabilized finite element method for incompressible solid dynamics using an updated Lagrangian formulation. - Rooholla Khorrambakht, Chris Xiaoxuan Lu, Hamed Damirchi, Zhenghua Chen, Zhengguo Li:
Deep Inertial Odometry with Accurate IMU Preintegration. - Kyriaki Psara:
Reversible Computation in Petri Nets. - Salma Chaieb, Ali Ben Mrad, Brahim Hnich, Véronique Delcroix:
Data Obsolescence Detection in the Light of Newly Acquired Valid Observations. - Seong-Eun Moon, Chun-Jui Chen, Cho-Jui Hsieh, Jane-Ling Wang, Jong-Seok Lee:
Emotional EEG Classification using Connectivity Features and Convolutional Neural Networks. - Jinxiong Zhang:
Yet Another Representation of Binary Decision Trees: A Mathematical Demonstration. - Alexander Viand, Patrick Jattke, Anwar Hithnawi:
SoK: Fully Homomorphic Encryption Compilers. - Guy Rotman, Amir Feder, Roi Reichart:
Model Compression for Domain Adaptation through Causal Effect Estimation. - Ondrej Maxian, Raúl P. Peláez, Leslie Greengard, Aleksandar Donev:
A fast spectral method for electrostatics in doubly-periodic slit channels. - Andrew Lewis-Pye:
Byzantine Generals in the Permissionless Setting. - Kenenbek Arzymatov, Mikhail Hushchyn, Andrey A. Sapronov, Vladislav Belavin, Leonid Gremyachikh, Maksim Karpov, Andrey Ustyuzhanin:
Online detection of failures generated by storage simulator. - Lukas Einkemmer, Jingwei Hu, Lexing Ying:
An efficient dynamical low-rank algorithm for the Boltzmann-BGK equation close to the compressible viscous flow regime. - George C. Alexandropoulos, Ioanna Vinieratou, Mattia Rebato, Luca Rose, Michele Zorzi:
Uplink Beam Management for Millimeter Wave Cellular MIMO Systems with Hybrid Beamforming. - Antonio Briola, Jeremy D. Turiel, Riccardo Marcaccioli, Tomaso Aste:
Deep Reinforcement Learning for Active High Frequency Trading. - Bernd Finkbeiner, Christopher Hahn, Marvin Stenger, Leander Tentrup:
Efficient Monitoring of Hyperproperties using Prefix Trees. - Markus Wurzenberger, Florian Skopik, Roman Fiedler, Wolfgang Kastner:
Applying High-Performance Bioinformatics Tools for Outlier Detection in Log Data. - Yong Huang, Ben Chen, Daiming Qu:
LNSMM: Eye Gaze Estimation With Local Network Share Multiview Multitask. - Mohan Bharath B, Aravindh Gowtham B, Akhil M:
Neural Abstractive Text Summarizer for Telugu Language. - Léonard Blier, Corentin Tallec, Yann Ollivier:
Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint. - Jaime Arguello, Adam Ferguson, Emery Fine, Bhaskar Mitra, Hamed Zamani, Fernando Diaz:
Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification. - Asaf Amrami, Yoav Goldberg:
A simple geometric proof for the benefit of depth in ReLU networks. - Chinmay Gurjarpadhye, Jithin Ravi, Sneha Kamath, Bikash Kumar Dey, Nikhil Karamchandani:
Fundamental Limits of Demand-Private Coded Caching. - Talha Siddique, Md Shaad Mahmud:
Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach. - Yudi Huang, Ting He, Nilanjan Ray Chaudhuri, Thomas La Porta:
Verifiable Failure Localization in Smart Grid under Cyber-Physical Attacks. - Luc Dartois, Paul Gastin, Shankara Narayanan Krishna:
SD-Regular Transducer Expressions for Aperiodic Transformations. - Mónica Figuera, Philipp D. Rohde, Maria-Esther Vidal:
Trav-SHACL: Efficiently Validating Networks of SHACL Constraints. - Yannis Papanikolaou:
Teach me how to Label: Labeling Functions from Natural Language with Text-to-text Transformers. - Pradyumna Tambwekar, Andrew Silva, Nakul Gopalan, Matthew C. Gombolay:
Interpretable Policy Specification and Synthesis through Natural Language and RL. - William Wallis, William Kavanagh, Alice Miller, Tim Storer:
Designing a mobile game to generate player data - lessons learned. - Fahad Islam, Oren Salzman, Aditya Agarwal, Maxim Likhachev:
Provably Constant-time Planning and Replanning for Real-time Grasping Objects off a Conveyor Belt. - Aaron Bernstein, Maximilian Probst Gutenberg, Thatchaphol Saranurak:
Deterministic Decremental SSSP and Approximate Min-Cost Flow in Almost-Linear Time. - Christian Fiedler, Massimo Fornasier, Timo Klock, Michael Rauchensteiner:
Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples. - Ilie Sarpe, Fabio Vandin:
PRESTO: Simple and Scalable Sampling Techniques for the Rigorous Approximation of Temporal Motif Counts. - Megha Khosla, Avishek Anand:
Revisiting the Auction Algorithm for Weighted Bipartite Perfect Matchings. - Max H. Cohen, Calin Belta:
Model-Based Reinforcement Learning for Approximate Optimal Control with Temporal Logic Specifications. - Leqian Zheng, Hau Chan, Grigorios Loukides, Minming Li:
Maximizing approximately k-submodular functions. - Roman Kovalchukov, Dmitri Moltchanov, Juho Pirskanen, Joonas Säe, Jussi Numminen, Yevgeni Koucharyavy, Mikko Valkama:
DECT-2020 New Radio: The Next Step Towards 5G Massive Machine-Type Communications. - Bernd Finkbeiner, Christopher Hahn, Jana Hofmann, Leander Tentrup:
Realizing Omega-regular Hyperproperties. - Kürsat Tekbiyik, Günes Karabulut-Kurt, Halim Yanikomeroglu:
Energy-Efficient RIS-assisted Satellites for IoT Networks. - Daniel Fernandes Gomes, Paolo Paoletti, Shan Luo:
Generation of GelSight Tactile Images for Sim2Real Learning. - Chien-Hsiang Huang, Hung-Yu Wu, Youn-Long Lin:
HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS. - Ali Tajer, Avi Steiner, Shlomo Shamai:
The Broadcast Approach in Communication Networks. - Mohamed Abdelghany, Sofiène Tahar:
Formal FT-based Cause-Consequence Reliability Analysis using Theorem Proving. - Wouter Caarls:
Deep Reinforcement Learning with Embedded LQR Controllers. - Savvas Zannettou:
"I Won the Election!": An Empirical Analysis of Soft Moderation Interventions on Twitter. - Mohammad Mehdi Keramati, Elnaz Azizi, Hamid-Reza Momeni, Sadegh Bolouki:
Incorporating Coincidental Water Data into Non-intrusive Load Monitoring. - Elnaz Azizi, Mohammad T. H. Beheshti, Sadegh Bolouki:
Quantification of Disaggregation Difficulty with Respect to the Number of Meters. - Muhammad Umair, Muhammad Aamir Cheema, Omer Cheema, Huan Li, Hua Lu:
Impact of COVID-19 on Adoption of IoT in Different Sectors. - Thaleia Dimitra Doudali, Daniel Zahka, Ada Gavrilovska:
Tuning the Frequency of Periodic Data Movements over Hybrid Memory Systems. - Pranav Ashok, Mathias Jackermeier, Jan Kretínský, Christoph Weinhuber, Maximilian Weininger, Mayank Yadav:
dtControl 2.0: Explainable Strategy Representation via Decision Tree Learning Steered by Experts. - Craig R. Gin, Daniel E. Shea, Steven L. Brunton, J. Nathan Kutz:
DeepGreen: Deep Learning of Green's Functions for Nonlinear Boundary Value Problems. - Luis Antônio de Souza Júnior, Luis C. S. Afonso, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Robert Mendel, Christoph Palm, João P. Papa:
Learning Visual Representations with Optimum-Path Forest and its Applications to Barrett's Esophagus and Adenocarcinoma Diagnosis. - Yukti Makhija, Samarth Bhatia, Shalendra Singh, Sneha Kumar Jayaswal, Prabhat Singh Malik, Pallavi Gupta, Shreyas N. Samaga, Shreya Johri, Sri Krishna Venigalla, Rabi Narayan Hota, Surinder Singh Bhatia, Ishaan Gupta:
Challenges in the application of a mortality prediction model for COVID-19 patients on an Indian cohort. - Murilo Sibrao Bernardini, Paulo André Lima de Castro:
Is it a great Autonomous FX Trading Strategy or you are just fooling yourself. - Amro M. Farid, Dakota J. Thompson, Prabhat Hegde, Wester C. H. Schoonenberg:
A Tensor-Based Formulation of Hetero-functional Graph Theory. - Diego Antonelli, Roberta Cascella, Gaetano Perrone, Simon Pietro Romano, Antonio Schiano:
Leveraging AI to optimize website structure discovery during Penetration Testing. - Zeliang Liu:
Cell division in deep material networks applied to multiscale strain localization modeling. - Simon Michael Laube, Nima Taherinejad:
Device Variability Analysis for Memristive Material Implication. - Gideon Geier, Philippe Heim, Felix Klein, Bernd Finkbeiner:
Syntroids: Synthesizing a Game for FPGAs using Temporal Logic Specifications. - Yu Gao, Yang P. Liu, Richard Peng:
Fully Dynamic Electrical Flows: Sparse Maxflow Faster Than Goldberg-Rao. - Kyle Burke, Matthew Ferland, Shang-Hua Teng:
Transverse Wave: an impartial color-propagation game inspired by Social Influence and Quantum Nim. - Svetlana Kutuzova, Oswin Krause, Douglas McCloskey, Mads Nielsen, Christian Igel:
Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts. - Haoyu Xiong, Quanzhou Li, Yun-Chun Chen, Homanga Bharadhwaj, Samarth Sinha, Animesh Garg:
Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos. - Ieva Dauzickaite, Amos S. Lawless, Jennifer A. Scott, Peter Jan van Leeuwen:
Randomised preconditioning for the forcing formulation of weak constraint 4D-Var. - Furkan Gürsoy, Mounir Haddad, Cécile Bothorel:
Alignment and stability of embeddings: measurement and inference improvement. - Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez:
Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation. - Anuraganand Sharma:
Guided parallelized stochastic gradient descent for delay compensation. - John S. Fitzgerald, Tomohiro Oda, Hugo Daniel Macedo:
Proceedings of the 18th International Overture Workshop. - Yahia Shabara, C. Emre Koksal, Eylem Ekici:
How Long to Estimate Sparse MIMO Channels. - Mohammed S. Al-Abiad, Md. Zoheb Hassan, Md. Jahangir Hossain:
Cross-Layer Network Codes for Content Delivery in Cache-Enabled D2D Networks. - Kirsten Bock, Christian Ricardo Kühne, Rainer Mühlhoff, Meto R. Ost, Jörg Pohle, Rainer Rehak:
Data Protection Impact Assessment for the Corona App. - Anh Thai, Stefan Stojanov, Isaac Rehg, James M. Rehg:
Does Continual Learning = Catastrophic Forgetting? - Stefan Stojanov, Anh Thai, James M. Rehg:
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias. - John Pavlopoulos, Vasiliki Kougia, Ion Androutsopoulos, Dimitris Papamichail:
Diagnostic Captioning: A Survey. - Nicole Immorlica, Ian A. Kash, Brendan Lucier:
Buying Data Over Time: Approximately Optimal Strategies for Dynamic Data-Driven Decisions. - Tao Fu, Dexin Wang, Xiaoyuan Fan, Qiuhua Huang:
Component Importance and Interdependence Analysis for Transmission, Distribution and Communication Systems. - Tobias Schmid, Stefanie Schraufstetter, Jonas Fritzsch, Dominik Hellhake, Greta Koelln, Stefan Wagner:
Formal Verification of a Fail-Operational Automotive Driving System. - Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger:
Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains. - Saeedeh Moloudi, Mohammad Mozaffari, Sandeep Narayanan Kadan Veedu, Kittipong Kittichokechai, Y.-P. Eric Wang, Johan Bergman, Andreas Höglund:
Coverage Evaluation for 5G Reduced Capability New Radio (NR-RedCap). - Tobias Huber, Benedikt Limmer, Elisabeth André:
Benchmarking Perturbation-based Saliency Maps for Explaining Deep Reinforcement Learning Agents. - Takuma Yagi, Takumi Nishiyasu, Kunimasa Kawasaki, Moe Matsuki, Yoichi Sato:
GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery. - Zhen-Qing He, Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang, Ying-Chang Liang:
Semi-Blind Cascaded Channel Estimation for Reconfigurable Intelligent Surface Aided Massive MIMO. - Vedat Apuk, Krenare Pireva Nuçi:
Classification of Pedagogical content using conventional machine learning and deep learning model. - Alec Rohloff, Zackary Allen, Kung-Min Lin, Joshua Okrend, Chengyi Nie, Yu-Chia Liu, Hung-Wei Tseng:
OpenUVR: an Open-Source System Framework for Untethered Virtual Reality Applications. - Mohsen Ahmadi, Kevin Leach, Ryan E. Dougherty, Stephanie Forrest, Westley Weimer:
MIMOSA: Reducing Malware Analysis Overhead with Coverings. - Zijian Zhang, Jaspreet Singh, Ujwal Gadiraju, Avishek Anand:
Dissonance Between Human and Machine Understanding. - Marcus de Assis Angeloni, Hélio Pedrini:
Improving Makeup Face Verification by Exploring Part-Based Representations. - Joshua Y. Kim, Greyson Y. Kim, Chunfeng Liu, Rafael A. Calvo, Silas C. R. Taylor, Kalina Yacef:
MONAH: Multi-Modal Narratives for Humans to analyze conversations. - Attila Nagy, Bence Bial, Judit Ács:
Automatic punctuation restoration with BERT models. - Arjun Balasubramanian, Adarsh Kumar, Yuhan Liu, Han Cao, Shivaram Venkataraman, Aditya Akella:
Accelerating Deep Learning Inference via Learned Caches. - Shuvo Kumar Paul, Muhammed Tawfiq Chowdhury, Mircea Nicolescu, Monica N. Nicolescu:
Object Detection and Pose Estimation from RGB and Depth Data for Real-time, Adaptive Robotic Grasping. - David K. Lim, Naim U. Rashid, Junier B. Oliva, Joseph G. Ibrahim:
Handling Non-ignorably Missing Features in Electronic Health Records Data Using Importance-Weighted Autoencoders. - Michael Mitzenmacher, Saeed Seddighin:
Dynamic Longest Increasing Subsequence and the Erdös-Szekeres Partitioning Problem. - Maliha Tashfia Islam, Anna Fariha, Alexandra Meliou:
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification. - Amanda Cristina Davi Resende, Davis Railsback, Rafael Dowsley, Anderson C. A. Nascimento, Diego F. Aranha:
Fast Privacy-Preserving Text Classification based on Secure Multiparty Computation. - Luke Metz, C. Daniel Freeman, Niru Maheswaranathan, Jascha Sohl-Dickstein:
Training Learned Optimizers with Randomly Initialized Learned Optimizers. - Berat Kurar Barakat, Ahmad Droby, Reem Alaasam, Boraq Madi, Irina Rabaev, Jihad El-Sana:
Text line extraction using fully convolutional network and energy minimization. - Liang Lyu, Brandon Fain, Kamesh Munagala, Kangning Wang:
Centrality with Diversity. - Sanchari Das, Robert S. Gutzwiller, Rod D. Roscoe, Prashanth Rajivan, Yang Wang, L. Jean Camp, Roberto Hoyle:
Panel: Humans and Technology for Inclusive Privacy and Security. - Svitlana Vakulenko, Nikos Voskarides, Zhucheng Tu, Shayne Longpre:
A Comparison of Question Rewriting Methods for Conversational Passage Retrieval. - Kai Yao, Alberto Ortiz, Francisco Bonnín-Pascual:
A DCNN-based Arbitrarily-Oriented Object Detector for Quality Control and Inspection Application. - Bill Tomlinson, Rebecca W. Black:
Work Online, Welfare Calls, and Wine Night: Effects of the COVID-19 Pandemic on Individuals' Technology Use. - Qiufan Lin, Dominique Fouchez, Jérôme Pasquet:
Galaxy Image Translation with Semi-supervised Noise-reconstructed Generative Adversarial Networks. - Vijay V. Vazirani:
The General Graph Matching Game: Approximate Core. - H. J. Austin Wang, Karthik Narasimhan:
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning. - Ming Zeng, Ebrahim Bedeer, Xingwang Li, Quoc-Viet Pham, Octavia A. Dobre, Paul Fortier, Leslie A. Rusch:
IRS-Empowered Wireless Communications: State-of-the-Art, Key Techniques, and Open Issues. - Amir Sagiv:
Spectral convergence of probability densities. - Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, Leonidas J. Guibas:
ArtEmis: Affective Language for Visual Art. - Qingyuan Hu, Yi Zhang, Kanishka Misra, Julia Rayz:
Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference. - Yuyang Wang, Zhonglin Cao, Amir Barati Farimani:
Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination. - Nakamasa Inoue, Eisuke Yamagata, Hirokatsu Kataoka:
Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data. - Junyuan Hong, Zhangyang Wang, Jiayu Zhou:
On Dynamic Noise Influence in Differentially Private Learning. - Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Daiyi Peng, Deepali Jain, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Yuxiang Yang:
ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning. - Xiaotian Xu, Yancy Diaz-Mercado:
Swarm Herding: A Leader-Follower Framework For Multi-Robot Navigation. - Negin Karisani, Daniel E. Platt, Saugata Basu, Laxmi Parida:
Inferring COVID-19 Biological Pathways from Clinical Phenotypes via Topological Analysis. - (Withdrawn) GIID-Net: Generalizable Image Inpainting Detection via Neural Architecture Search and Attention.
- Lei He, Jiwen Lu, Guanghui Wang, Shiyu Song, Jie Zhou:
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images. - Gözde Özcan, Armin Moharrer, Stratis Ioannidis:
Submodular Maximization via Taylor Series Approximation. - Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng:
Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network. - Arnold Filtser, Hung Le:
Reliable Spanners: Locality-Sensitive Orderings Strike Back. - An Chen, Zhigang Ren, Muyi Wang, Yongsheng Liang, Hanqing Liu, Wenhao Du:
A Surrogate-Assisted Variable Grouping Algorithm for General Large Scale Global Optimization Problems. - Ye Huang, Wenjing Jia, Xiangjian He, Liu Liu, Yuxin Li, Dacheng Tao:
CAA : Channelized Axial Attention for Semantic Segmentation. - Ankang Sun, Bo Chen, Xuan Vinh Doan:
Connections between Fairness Criteria and Efficiency for Allocating Indivisible Chores. - Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng:
Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems using Multi-objective Reinforcement Learning. - Manri Cheon, Toinon Vigier, Lukás Krasula, Junghyuk Lee, Patrick Le Callet, Jong-Seok Lee:
Ambiguity of Objective Image Quality Metrics: A New Methodology for Performance Evaluation. - Peng Gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, Hongsheng Li:
Fast Convergence of DETR with Spatially Modulated Co-Attention. - David Martinez Iraola, Antonio Jimeno-Yepes:
Single versus Multiple Annotation for Named Entity Recognition of Mutations. - Junghyuk Lee, Toinon Vigier, Patrick Le Callet, Jong-Seok Lee:
Wide Color Gamut Image Content Characterization: Method, Evaluation, and Applications. - Wei Lian, Wangmeng Zuo, Lei Zhang:
Hybrid Trilinear and Bilinear Programming for Aligning Partially Overlapping Point Sets. - Xinhan Di, Pengqian Yu:
Deep Reinforcement Learning for Producing Furniture Layout in Indoor Scenes. - Marc Cheong, Kobi Leins, Simon Coghlan:
Computer Science Communities: Who is Speaking, and Who is Listening to the Women? Using an Ethics of Care to Promote Diverse Voices. - Yue M. Lu:
Householder Dice: A Matrix-Free Algorithm for Simulating Dynamics on Gaussian and Random Orthogonal Ensembles. - Geon Lee, Minyoung Choe, Kijung Shin:
How Do Hyperedges Overlap in Real-World Hypergraphs? - Patterns, Measures, and Generators. - Riku Togashi, Masahiro Kato, Mayu Otani, Shin'ichi Satoh:
Density-Ratio Based Personalised Ranking from Implicit Feedback. - Ahmad Droby, Berat Kurar Barakat, Boraq Madi, Reem Alaasam, Jihad El-Sana:
Unsupervised Deep Learning for Handwritten Page Segmentation. - Abolfazl Lavaei, Sadegh Soudjani, Alessandro Abate, Majid Zamani:
Automated Verification and Synthesis of Stochastic Hybrid Systems: A Survey. - Taniya Seth, Pranab K. Muhuri:
Optimizing Hyperparameters in CNNs using Bilevel Programming in Time Series Data. - Nathan Grosshans, Pierre McKenzie, Luc Segoufin:
Tameness and the power of programs over monoids in DA. - Jun Han, Martin Renqiang Min, Ligong Han, Li Erran Li, Xuan Zhang:
Disentangled Recurrent Wasserstein Autoencoder. - Ben Goertzel:
Paraconsistent Foundations for Quantum Probability. - Hangmei Rao, Sa Xiao, Jianquan Wang, Wanbin Tang:
UAV-Enabled Cooperative Jamming for Covert Communications. - Wolfgang Höhl:
COVID-19 and Digital Transformation - Developing an Open Experimental Testbed for Sustainable and Innovative Environments (ETSIE) using Fuzzy Cognitive Maps. - Adnan Qayyum, Kashif Ahmad, Muhammad Ahtazaz Ahsan, Ala I. Al-Fuqaha, Junaid Qadir:
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge. - Jie Wang, Zhaoxia Yin, Jing Jiang, Yang Du:
Attention-Guided Black-box Adversarial Attacks with Large-Scale Multiobjective Evolutionary Optimization. - Jiaming Qi, Guangfu Ma, David Navarro-Alarcon, Haibo Zhang, Yueyong Lyu:
Towards Latent Space Based Manipulation of Elastic Rods using Autoencoder Models and Robust Centerline Extractions. - Inga Abel, Helmut Graeb:
Structure Synthesis of Op-Amps by Functional Block Composition. - Fu-Jen Tsai, Yan-Tsung Peng, Yen-Yu Lin, Chung-Chi Tsai, Chia-Wen Lin:
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring. - Ahmed Laatabi, Nicolas Bécu, Nicolas Marilleau, Cécilia Pignon-Mussaud, Marion Amalric, Xavier Bertin, Brice Anselme, Elise Beck:
Mapping and Describing Geospatial Data to Generalize Complex Mapping and Describing Geospatial Data to Generalize Complex Models: The Case of LittoSIM-GEN Models. - Jiaheng Wei, Minghao Liu, Jiahao Luo, Qiutong Li, James Davis, Yang Liu:
PeerGAN: Generative Adversarial Networks with a Competing Peer Discriminator. - Zeming Li, Songtao Liu, Jian Sun:
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning. - Louis Thiry, Michael Arbel, Eugene Belilovsky, Edouard Oyallon:
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods. - Mattijs Baert, Sam Leroux, Pieter Simoens:
Intelligent Frame Selection as a Privacy-Friendlier Alternative to Face Recognition. - Siddharth Chandak, Federico Chiariotti, Petar Popovski:
Hidden Markov Model-Based Encoding for Time-Correlated IoT Sources. - Brian K. Tran, Melvin Leok:
Multisymplectic Hamiltonian Variational Integrators. - Jie Wang, Zhaoxia Yin, Jin Tang, Jing Jiang, Bin Luo:
PICA: A Pixel Correlation-based Attentional Black-box Adversarial Attack. - A. Gargantilla Becerra, P. Martín Gutiérrez, Rafael Lahoz-Beltra:
A synthetic biology approach for the design of genetic algorithms with bacterial agents. - Jelena Kovac, Jovan Crnogorac, Enis Kocan, Malisa Vucinic:
Sniffing Multi-hop Multi-channel Wireless Sensor Networks. - Berat Kurar Barakat, Rafi Cohen, Irina Rabaev, Jihad El-Sana:
VML-MOC: Segmenting a multiply oriented and curved handwritten text lines dataset. - Graham Cormode, Charlie Dickens, David P. Woodruff:
Subspace exploration: Bounds on Projected Frequency Estimation. - Xianpeng Wang, Zhiming Dong, Lixin Tang, Qingfu Zhang:
Multiobjective Multitasking Optimization Based on Decomposition with Dual Neighborhoods. - Niels Ole Salscheider:
Object Tracking by Detection with Visual and Motion Cues. - Louis Dublois, Michael Lampis, Vangelis Th. Paschos:
Upper Dominating Set: Tight Algorithms for Pathwidth and Sub-Exponential Approximation. - Fabian Klute, Meghana M. Reddy, Tillmann Miltzow:
Local Complexity of Polygons. - Ru Li, Shuaicheng Liu, Guangfu Wang, Guanghui Liu, Bing Zeng:
JigsawGAN: Self-supervised Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks. - Roy Karasik, Osvaldo Simeone, Marco Di Renzo, Shlomo Shamai:
Single-RF Multi-User Communication Through Reconfigurable Intelligent Surfaces: An Information-Theoretic Analysis. - Christina Giannoula, Nandita Vijaykumar, Nikela Papadopoulou, Vasileios Karakostas, Ivan Fernandez, Juan Gómez-Luna, Lois Orosa, Nectarios Koziris, Georgios I. Goumas, Onur Mutlu:
SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures. - Federica Pes, Giuseppe Rodriguez:
A doubly relaxed minimal-norm Gauss-Newton method for nonlinear least-squares. - Francesco Gringoli, Douglas J. Leith:
Modelling Downlink Packet Aggregation in Paced 802.11ac WLANs. - Thomas K. F. Chiu, Helen Meng, Ching-Sing Chai, Irwin King, Savio Wong, Yeung Yam:
Creation and Evaluation of a Pre-tertiary Artificial Intelligence (AI) Curriculum. - Tomoe Kishimoto, Masahiko Saito, Junichi Tanaka, Yutaro Iiyama, Ryu Sawada, Koji Terashi:
An Improvement of Object Detection Performance using Multi-step Machine Learnings. - Rita Pucci, Christian Micheloni, Niki Martinel:
Collaboration among Image and Object Level Features for Image Colourisation. - Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li:
Learnable Embedding Sizes for Recommender Systems. - Quan Quan, Rao Fu, Mengxin Li, Donghui Wei, Yan Gao, Kai-Yuan Cai:
Practical Distributed Control for VTOL UAVs to Pass a Tunnel. - Panagiotis Tigas, Tyson Hosmer:
Spatial Assembly: Generative Architecture With Reinforcement Learning, Self Play and Tree Search. - Jiacheng Liu, Meghna Singh, Catherine ST. Hill, Vino Raj, Lisa Kirkland, Jaideep Srivastava:
Continual Deterioration Prediction for Hospitalized COVID-19 Patients. - Ke Li, Dengxin Dai, Ender Konukoglu, Luc Van Gool:
Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets. - Keren Censor-Hillel, Orr Fischer, Tzlil Gonen, François Le Gall, Dean Leitersdorf, Rotem Oshman:
Fast Distributed Algorithms for Girth, Cycles and Small Subgraphs. - Axel Laborieux, Maxence Ernoult, Tifenn Hirtzlin, Damien Querlioz:
Synaptic metaplasticity in binarized neural networks. - Chengyi Wang, Yu Wu, Yao Qian, Ken'ichi Kumatani, Shujie Liu, Furu Wei, Michael Zeng, Xuedong Huang:
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data. - Timothée Anne, Jack Wilkinson, Zhibin Li:
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments. - Ricards Marcinkevics, Julia E. Vogt:
Interpretable Models for Granger Causality Using Self-explaining Neural Networks. - Shutian Ma, Heng Zhang, Chengzhi Zhang, Xiaozhong Liu:
Chronological Citation Recommendation with Time Preference. - Chengzhi Zhang, Lifan Liu, Yuzhuo Wang:
Characterizing References from Different Disciplines: A Perspective of Citation Content Analysis. - Chang Li, Qian Huang, Xing Li, Qianhan Wu:
Human Action Recognition Based on Multi-scale Feature Maps from Depth Video Sequences. - Akihiro Kawana, Tomomi Matsui:
Trading Transforms of Non-weighted Simple Games and Integer Weights of Weighted Simple Games. - Chang Sun:
Knowledge Graph for Microdata of Statistics Netherlands. - (Withdrawn) Analysis of a discretization of a distributed control problem with a stochastic evolution equation.
- Taisuke Kobayashi:
Mirror-Descent Inverse Kinematics for Box-constrained Joint Space. - Karol Gregor, Frederic Besse:
Self-Organizing Intelligent Matter: A blueprint for an AI generating algorithm. - Bruno Andrade, Cícero Carvalho, Victor G. L. Neumann, Antônio C. P. Veiga:
A family of codes with locality containing optimal codes. - André Rodrigues, André R. B. Santos, Kyle Montague, Tiago João Guerreiro:
Promoting Self-Efficacy Through an Effective Human-Powered Nonvisual Smartphone Task Assistant. - Chen-Hsi Chang, Hung-Ting Su, Juiheng Hsu, Yu-Siang Wang, Yu-Cheng Chang, Zhe Yu Liu, Ya-Liang Chang, Wen-Feng Cheng, Ke-Jyun Wang, Winston H. Hsu:
Situation and Behavior Understanding by Trope Detection on Films. - Fateme Salehi, Naaser Neda, Mohammad-Hassan Majidi:
Max-Min Fairness Based on Cooperative-NOMA Clustering for Ultra-Reliable and Low-Latency Communications. - Martin Corless, Robert Shorten:
A Note on Order and Index Reduction for Descriptor Systems. - Clement Etienam, Siying Shen, Edward J. O'Dwyer, Joshua Sykes:
A Novel Cluster Classify Regress Model Predictive Controller Formulation; CCR-MPC. - Mingchen Zhuge, Deng-Ping Fan, Nian Liu, Dingwen Zhang, Dong Xu, Ling Shao:
Salient Object Detection via Integrity Learning. - Nicholas Botzer, Shawn Gu, Tim Weninger:
Analysis of Moral Judgement on Reddit. - Martin Wistuba, Josif Grabocka:
Few-Shot Bayesian Optimization with Deep Kernel Surrogates. - Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg, Haim Dubossarsky:
Challenges for Computational Lexical Semantic Change. - Sebastian Garcia-Valencia, Alejandro Betancourt, Juan Guillermo Lalinde Pulido:
A framework to compare music generative models using automatic evaluation metrics extended to rhythm. - Jun Chen, Haopeng Chen:
Edge-Featured Graph Attention Network. - (Withdrawn) An Artificial Intelligence based approach to estimating time of arrival and bus occupancy for public transport systems in Africa.
- Milan Groshev, Jorge Martín-Pérez, Kiril Antevski, Antonio de la Oliva, Carlos J. Bernardos:
COTORRA: COntext-aware Testbed fOR Robotic Applications. - Alexis E. Block, Sammy Joe Christen, Roger Gassert, Otmar Hilliges, Katherine J. Kuchenbecker:
The Six Hug Commandments: Design and Evaluation of a Human-Sized Hugging Robot with Visual and Haptic Perception. - Sheng Liu, Xiaozhen Xie, Wenfeng Kong:
Hyperspectral Image Restoration via Multi-mode and Double-weighted Tensor Nuclear Norm Minimization. - Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti:
GLocalX - From Local to Global Explanations of Black Box AI Models. - Heinrich Dinkel, Mengyue Wu, Kai Yu:
Towards duration robust weakly supervised sound event detection. - Peng Jiang, Rujia Wang, Bo Wu:
An Efficient Graph Mining System for Large Patterns. - Rachel Freedman, Rohin Shah, Anca D. Dragan:
Choice Set Misspecification in Reward Inference. - Matthew DeVerna, Francesco Pierri, Bao Tran Truong, John Bollenbacher, David Axelrod, Niklas Loynes, Christopher Torres-Lugo, Kai-Cheng Yang, Filippo Menczer, John Bryden:
CoVaxxy: A global collection of English Twitter posts about COVID-19 vaccines. - Karl Bringmann, André Nusser:
Translating Hausdorff is Hard: Fine-Grained Lower Bounds for Hausdorff Distance Under Translation. - Maximiliano Cristiá, Ricardo D. Katz, Gianfranco Rossi:
Proof Automation in the Theory of Finite Sets and Finite Set Relation Algebra. - Peng Jiang, Masuma Akter Rumi:
Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks. - Alon Friedman, Paul Rosen:
Leveraging Peer Review in Visualization Education: A Proposal for a New Model. - Irina A. Lomazova, Vladimir A. Bashkin:
On the Decidability of Behavioral Equivalences for (P, P)-PRS. - Rafael Goncalves Pires, Daniel F. S. Santos, Marcos C. S. Santana, Cláudio F. G. Santos, João Paulo Papa:
Image Denoising using Attention-Residual Convolutional Neural Networks. - Ashish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins, Tim Althoff:
Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach. - Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun:
Deep Feedback Inverse Problem Solver. - Peer Neubert, Stefan Schubert:
Hyperdimensional computing as a framework for systematic aggregation of image descriptors. - Majed A. AlRubaian, Muhammad Al-Qurishi, Sherif Omar, Mohamed A. Mostafa:
DeepTrust: A Deep Learning Approach for Measuring Social Media Users Trustworthiness. - Bob Briscoe:
Improving DCTCP/Prague Congestion Control Responsiveness. - Junteng Jia, Austin R. Benson:
A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations. - Daniel Shen, Min Chi:
TC-DTW: Accelerating Multivariate Dynamic Time Warping Through Triangle Inequality and Point Clustering. - Ruocheng Guo, Pengchuan Zhang, Hao Liu, Emre Kiciman:
Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix. - MohammadReza Tavakoli, Mirette Elias, Gábor Kismihók, Sören Auer:
Metadata Analysis of Open Educational Resources. - Shashank Shekhar, Muralikrishnan Srinivasan, Sheetal Kalyani:
Outage Probability of Uplink Cell-Free Massive MIMO Network with Imperfect CSI Using Dimension-Reduction Method. - Yizhou Zhao, Hua Sun:
Information Theoretic Secure Aggregation with User Dropouts. - David Pérez Fernández, Asier Gutiérrez-Fandiño, Jordi Armengol-Estapé, Marta Villegas:
Determining Structural Properties of Artificial Neural Networks Using Algebraic Topology. - Ziran Wang, Kyungtae Han, Prashant Han:
Motion Estimation of Connected and Automated Vehicles under Communication Delay and Packet Loss of V2X Communications. - Robert Y. Lewis, Minchao Wu:
A bi-directional extensible interface between Lean and Mathematica. - Mario Frank:
The Coq Proof Script Visualiser (coq-psv). - Ehsan Zabardast, Julian Frattini, Javier Gonzalez-Huerta, Daniel Méndez, Tony Gorschek:
Asset Management in Software Engineering - What is it after all? - Peng Gao, Xiaoyuan Liu, Edward Choi, Bhavna Soman, Chinmaya Mishra, Kate Farris, Dawn Song:
A System for Automated Open-Source Threat Intelligence Gathering and Management. - Balasubramaniam Srinivasan, Da Zheng, George Karypis:
Learning over Families of Sets - Hypergraph Representation Learning for Higher Order Tasks. - Arthur K. Barnes, Adam Mate:
Dynamic State Estimation for Radial Microgrid Protection. - Amanda L. Baxter, Segev Y. BenZvi, Walter Bonivento, Adam Brazier, Michael Clark, Alexis Coleiro, David Collom, Marta Colomer-Molla, Bryce Cousins, Aliwen Delgado Orellana, Damien Dornic, Vladislav Ekimtcov, Shereen ElSayed, Andrea Gallo Rosso, Patrick Godwin, Spencer Griswold, Alec Habig, Shunsaku Horiuchi, D. Andrew Howell, Margaret W. G. Johnson, Mario Juric, James P. Kneller, Abigail Kopec, Claudio Kopper, V. Kulikovskiy, Mathieu Lamoureux, Rafael F. Lang, Shengchao Li, Massimiliano Lincetto, W. Lindstrom, Mark W. Linvill, Curtis McCully, Jost Migenda, Danny Milisavljevic, Spencer Nelson, Rita Novoseltseva, Erin O'Sullivan, Donald Petravick, Barry W. Pointon, Nirmal Raj, Andrew Renshaw, Janet Rumleskie, Ron Tapia, Jeffrey C. L. Tseng, Christopher D. Tunnell, Carlo F. Vigorito, Clarence J. Virtue, Christopher Weaver, Lindley Winslow, Richard Wolski, Xun-Jie Xu, Yiyang Xu:
Agile Scrum Development in an ad hoc Software Collaboration. - Arthur K. Barnes, Adam Mate:
Implementing Admittance Relaying for Microgrid Protection. - Umit Cali, Murat Kuzlu, Vinayak Sharma, Manisa Pipattanasomporn, Ferhat Özgür Çatak:
Internet of Predictable Things (IoPT) Framework to Increase Cyber-Physical System Resiliency. - Firuz Kamalov, Aswani Kumar Cherukuri, Hana Sulieman, Fadi A. Thabtah, Akbar Hossain:
Machine learning applications for COVID-19: A state-of-the-art review. - Christopher König, Matteo Turchetta, John Lygeros, Alisa Rupenyan, Andreas Krause:
Safe and Efficient Model-free Adaptive Control via Bayesian Optimization. - Flora Dellinger, Thomas Boulay, Diego Mendoza Barrenechea, Said El-Hachimi, Isabelle Leang, Fabian Bürger:
Multi-Task Network Pruning and Embedded Optimization for Real-time Deployment in ADAS. - Xingyi Li, Wenxuan Wu, Xiaoli Z. Fern, Fuxin Li:
The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions. - Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher:
Implicit Bias of Linear RNNs. - Meghan Cowan, Deeksha Dangwal, Armin Alaghi, Caroline Trippel, Vincent T. Lee, Brandon Reagen:
Porcupine: A Synthesizing Compiler for Vectorized Homomorphic Encryption. - Timothy Verstraeten, Pieter-Jan Daems, Eugenio Bargiacchi, Diederik M. Roijers, Pieter J. K. Libin, Jan Helsen:
Scalable Optimization for Wind Farm Control using Coordination Graphs. - Jochen Schütz, David C. Seal, Jonas Zeifang:
Parallel-in-time high-order multiderivative IMEX solvers. - Borzoo Bonakdarpour, Bernd Finkbeiner:
The Complexity of Monitoring Hyperproperties. - Farzam Hejazi, Katarina Vuckovic, Nazanin Rahnavard:
DyLoc: Dynamic Localization for Massive MIMO Using Predictive Recurrent Neural Networks. - Mikhail M. Meskhi, Adriano Rivolli, Rafael G. Mantovani, Ricardo Vilalta:
Learning Abstract Task Representations. - Kelly Mack, Megan Hofmann, Udaya Lakshmi, Jerry Cao, Nayha Auradkar, Rosa I. Arriaga, Scott E. Hudson, Jennifer Mankoff:
Rapid Convergence: The Outcomes of Making PPE during a Healthcare Crisis. - Mahsun Altin, Furkan Gürsoy, Lina Xu:
Machine-Generated Hierarchical Structure of Human Activities to Reveal How Machines Think. - Chaeun Lee, Seyoung Kim:
SEMULATOR: Emulating the Dynamics of Crossbar Array-based Analog Neural System with Regression Neural Networks. - Hossein Rastgoftar, Jean-Baptiste Jeannin:
A Physics-Based Finite-State Abstraction for Traffic Congestion Control. - Kirby Steckel, Jacob Schrum:
Illuminating the Space of Beatable Lode Runner Levels Produced By Various Generative Adversarial Networks. - Manuel Patchou, Benjamin Sliwa, Christian Wietfeld:
Flying Robots for Safe and Efficient Parcel Delivery Within the COVID-19 Pandemic. - Carola Doerr, Luís Paquete:
Star Discrepancy Subset Selection: Problem Formulation and Efficient Approaches for Low Dimensions. - David I. Spivak, Jamie Vicary:
Proceedings of the 3rd Annual International Applied Category Theory Conference 2020, ACT 2020, Cambridge, USA, 6-10th July 2020. EPTCS 333, 2021 [contents] - Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri, Leonidas J. Guibas:
Joint Learning of 3D Shape Retrieval and Deformation. - Homagni Saha, Fateme Fotouhif, Qisai Liu, Soumik Sarkar:
A modular vision language navigation and manipulation framework for long horizon compositional tasks in indoor environment. - Vikram Sharma Mailthody, James Wei, Nicholas Chen, Mohammad Behnia, Ruihao Yao, Qihao Wang, Vedant Agrawal, Churan He, Lijian Wang, Leihao Chen, Amit Agarwal, Edward Richter, Wen-Mei Hwu, Christopher W. Fletcher, Jinjun Xiong, Andrew Miller, Sanjay Patel:
Safer Illinois and RokWall: Privacy Preserving University Health Apps for COVID-19. - Fupin Yao:
Cross-domain few-shot learning with unlabelled data. - Andrew M. McNutt, Ravi Chugh:
Integrated Visualization Editing via Parameterized Declarative Templates. - Ryota Ikedo, Kazuhiro Hotta:
Feature Sharing Cooperative Network for Semantic Segmentation. - Daniel Martin, Sandra Malpica, Diego Gutierrez, Belén Masiá, Ana Serrano:
Multimodality in VR: A survey. - Sergio Casas, Wenjie Luo, Raquel Urtasun:
IntentNet: Learning to Predict Intention from Raw Sensor Data. - Maryam Vahdat Pour, Zhuo Li, Lei Ma, Hadi Hemmati:
A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding. - Johannes Klick, Robert Koch, Thomas Brandstetter:
Epidemic? The Attack Surface of German Hospitals during the COVID-19 Pandemic. - Wenqian Jiang, Junyang Jin:
Intelligent Icing Detection Model of Wind Turbine Blades Based on SCADA data. - HongChien Yu, Zhuyun Dai, Jamie Callan:
PGT: Pseudo Relevance Feedback Using a Graph-Based Transformer. - Emre Sariyildiz:
A Guide to Design Disturbance Observer-based Motion Control Systems in Discrete-time Domain. - Valeriia Cherepanova, Micah Goldblum, Harrison Foley, Shiyuan Duan, John P. Dickerson, Gavin Taylor, Tom Goldstein:
LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition. - Heng Zhang, Chengzhi Zhang:
Using Full-text Content of Academic Articles to Build a Methodology Taxonomy of Information Science in China. - Yuanhao Gong, Wenming Tang, Lebin Zhou, Lantao Yu, Guoping Qiu:
A Discrete Scheme for Computing Image's Weighted Gaussian Curvature. - Adam Mate, Travis Hagan, Eduardo Cotilla Sanchez, Ted K. A. Brekken, Annette R. von Jouanne:
Impacts of Earthquakes on Electrical Grid Resilience. - Ruibing Jin, Guosheng Lin, Changyun Wen:
Online Active Proposal Set Generation for Weakly Supervised Object Detection. - Zhen Qin, Hai Wang, Yuben Qu, Haipeng Dai, Zhenhua Wei:
Air-Ground Collaborative Mobile Edge Computing: Architecture, Challenges, and Opportunities. - Joseph Bae, Rohan Sukumaran, Sheshank Shankar, Saurish Srivastava, Rohan Iyer, Aryan Mahindra, Qamil Mirza, Maurizio Arseni, Anshuman Sharma, Saras Agrawal, Orna Mukhopadhyay, Colin Kang, Priyanshi Katiyar, Apurv Shekhar, Sifat Hasan, Krishnendu Dasgupta, Darshan Gandhi, Sethuraman TV, Parth Patwa, Ishaan Singh, Abhishek Singh, Ramesh Raskar:
MIT SafePaths Card (MiSaCa): Augmenting Paper Based Vaccination Cards with Printed Codes. - Longfei Yan, Chong Han, Jinhong Yuan:
Joint Inter-and-intra-multiplexing and Hybrid Beamforming for Terahertz Widely-spaced Multi-subarray Systems. - Woong-Hee Lee, Mustafa Özger, Ursula Challita, Ki Won Sung:
Noise Learning Based Denoising Autoencoder. - Rishav Chakravarti, Avirup Sil:
Towards Confident Machine Reading Comprehension. - Tao Wei, Angelica I. Avilés-Rivero, Shuo Wang, Yuan Huang, Fiona J. Gilbert, Carola-Bibiane Schönlieb, Chang Wen Chen:
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations. - Zekang Li, Zongjia Li, Jinchao Zhang, Yang Feng, Jie Zhou:
WeChat AI's Submission for DSTC9 Interactive Dialogue Evaluation Track. - Ziheng Wang:
SparseDNN: Fast Sparse Deep Learning Inference on CPUs. - Desong Kong, Shuhuang Xiang:
Fast linear barycentric rational interpolation for singular functions via scaled transformations. - Anna Vaughan, William Tebbutt, J. Scott Hosking, Richard E. Turner:
Convolutional conditional neural processes for local climate downscaling. - Cuihua Shen, Mona Kasra, James F. O'Brien:
This photograph has been altered: Testing the effectiveness of image forensic labeling on news image credibility. - Aimin Li, Shaohua Wu, Jian Jiao, Ning Zhang, Qinyu Zhang:
Spinal Codes Optimization: Error Probability Analysis and Transmission Scheme Design. - Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-Mei W. Hwu:
PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses. - Long Chen, Junyu Dong, Huiyu Zhou:
Class balanced underwater object detection dataset generated by class-wise style augmentation. - Jane Greenberg, Xintong Zhao, Joseph Adair, Joan P. Boone, Xiaohua Tony Hu:
HIVE-4-MAT: Advancing the Ontology Infrastructure for Materials Science. - Geunsik Lim, MyungJoo Ham, Ji Joong Moon, Wook Song:
LightSys: Lightweight and Efficient CI System for Improving Integration Speed of Software. - Veronika Thost, Jie Chen:
Directed Acyclic Graph Neural Networks. - Shangming Cai, Dongsheng Wang, Haixia Wang, Yongqiang Lyu, Guangquan Xu, Xi Zheng, Athanasios V. Vasilakos:
DynaComm: Accelerating Distributed CNN Training between Edges and Clouds through Dynamic Communication Scheduling. - Varad Bhatnagar, Prince Kumar, Sairam Moghili, Pushpak Bhattacharyya:
Divide and Conquer: An Ensemble Approach for Hostile Post Detection in Hindi. - Ishan R. Dave, Rohit Gupta, Mamshad Nayeem Rizve, Mubarak Shah:
TCLR: Temporal Contrastive Learning for Video Representation. - Dan Yang, Xin Peng, Yusheng Lu, Haojie Huang, Weimin Zhong:
Representation Evaluation Block-based Teacher-Student Network for the Industrial Quality-relevant Performance Modeling and Monitoring. - Zhi Chen, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang:
Semantic Disentangling Generalized Zero-Shot Learning. - Jayadev Acharya, Clément L. Canonne, Cody Freitag, Ziteng Sun, Himanshu Tyagi:
Inference under Information Constraints III: Local Privacy Constraints. - Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye:
Non-Parametric Adaptive Network Pruning. - Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh:
Semi-supervised Keypoint Localization. - Haotian Li, Min Xu, Yong Wang, Huan Wei, Huamin Qu:
A Visual Analytics Approach to Facilitate the Proctoring of Online Exams. - Crystal Lee, Tanya Yang, Gabrielle Inchoco, Graham M. Jones, Arvind Satyanarayan:
Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online. - Hongyu Zhou, Changliu Liu:
Distributed Motion Coordination Using Convex Feasible Set Based Model Predictive Control. - Yaoxin Zhuo, Baoxin Li:
FedNS: Improving Federated Learning for collaborative image classification on mobile clients. - Xin Liu, Yuang Li, Josh Fromm, Yuntao Wang, Ziheng Jiang, Alex Mariakakis, Shwetak N. Patel:
SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices. - Zhanlin Liu, Youngjun Choe:
Data-driven sparse polynomial chaos expansion for models with dependent inputs. - Hiromu Yakura:
No More Handshaking: How have COVID-19 pushed the expansion of computer-mediated communication in Japanese idol culture? - Zhangzi Zhu, Tianlei Wang, Hong Qu:
Macroscopic Control of Text Generation for Image Captioning. - Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang:
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers. - Sougata Bose, Shankara Narayanan Krishna, Anca Muscholl, Gabriele Puppis:
One-way resynchronizability of word transducers. - Prabadevi B, Quoc-Viet Pham, Madhusanka Liyanage, Natarajan Deepa, Mounik VVSS, Shivani Reddy, Praveen Kumar Reddy Maddikunta, Neelu Khare, Thippa Reddy Gadekallu, Won-Joo Hwang:
Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey. - Iacovos Ioannou, Christophoros Christophorou, Vasos Vassiliou, Andreas Pitsillides:
5G D2D Transmission Mode Selection Performance & Cluster Limits Evaluation of Distributed Artificial Intelligence and Machine Learning Techniques. - Paolo Tell, Jil Klünder, Steffen Küpper, David Raffo, Stephen G. MacDonell, Jürgen Münch, Dietmar Pfahl, Oliver Linssen, Marco Kuhrmann:
What are Hybrid Development Methods Made Of? An Evidence-based Characterization. - Xingyin Fu, Zheng Fang, Xizhen Xiao, Yijia He, Xiao Liu:
Improved Signed Distance Function for 2D Real-time SLAM and Accurate Localization. - Luodi Xie, Hong Shen, Jiaxin Ren:
NEMR: Network Embedding on Metric of Relation. - Nico Ebert, Kurt Alexander Ackermann, Björn Scheppler:
Bolder is Better: Raising User Awareness through Salient and Concise Privacy Notices. - Zhonghao Zhang, Yipeng Liu, Xingyu Cao, Fei Wen, Ce Zhu:
Scalable Deep Compressive Sensing. - Likai Liu, Zechun Hu, Xiaoyu Duan, Nikhil Pathak:
Data-Driven Distributionally Robust Optimization for Real-Time Economic Dispatch Considering Secondary Frequency Regulation Cost. - Francesco Cartella, Orlando Anunciação, Yuki Funabiki, Daisuke Yamaguchi, Toru Akishita, Olivier Elshocht:
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data. - Wanguang Yin, Zhengming Ma, Quanying Liu:
Riemannian-based Discriminant Analysis for Feature Extraction and Classification. - C. Maria Keet:
Bias in ontologies - a preliminary assessment. - Fei Du, Bo Xu, Jiasheng Tang, Yuqi Zhang, Fan Wang, Hao Li:
1st Place Solution to ECCV-TAO-2020: Detect and Represent Any Object for Tracking. - Deheng Cai, Wei Liu, Linong Ji, Dawei Shi:
Bayesian Optimization Assisted Meal Bolus Decision Based on Gaussian Processes Learning and Risk-Sensitive Control. - Jack Ratcliffe, Francesco Soave, Nick Bryan-Kinns, Laurissa Tokarchuk, Ildar Farkhatdinov:
Extended Reality (XR) Remote Research: a Survey of Drawbacks and Opportunities. - Nitin Agrawal, Reuben Binns, Max Van Kleek, Kim Laine, Nigel Shadbolt:
Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation. - Benjamin Marussig:
Fast formation and assembly of isogeometric Galerkin matrices for trimmed patches. - Ying Xu, Zhihua Qu:
Voltage Inference for and Coordination of Distributed Voltage Controls in Extremely-High DER-Penetration Distribution Networks. - Richard Prüller, Thomas Blazek, Stefan Pratschner, Markus Rupp:
On the Parametrization and Statistics of Propagation Graphs. - Lucia Asencio-Martín, Eduardo C. Garrido-Merchán:
A Similarity Measure of Gaussian Process Predictive Distributions. - Geunsik Lim, Donghyun Kang, Young Ik Eom:
Thread Evolution Kit for Optimizing Thread Operations on CE/IoT Devices. - Benjamin Perret, Jean Cousty:
Component Tree Loss Function: Definition and Optimization. - Yulia Goldenberg, Noam Tractinsky:
Towards the Right Direction in BiDirectional User Interfaces. - Chao Yan, Xiaojia Xiang, Chang Wang, Zhen Lan:
Collision-Free Flocking with a Dynamic Squad of Fixed-Wing UAVs Using Deep Reinforcement Learning. - Sabrina Bassetto, Clément Cancès, Guillaume Enchéry, Quang-Huy Tran:
Upstream mobility Finite Volumes for the Richards equation in heterogenous domains. - Anatole Gallouët, Quentin Mérigot, Boris Thibert:
A Damped Newton Algorithm for Generated Jacobian Equations. - Peter Trifonov:
Recursive Trellis Processing of Large Polarization Kernels. - Xiatian Zhu, Antoine Toisoul, Juan-Manuel Pérez-Rúa, Li Zhang, Brais Martínez, Tao Xiang:
Few-shot Action Recognition with Prototype-centered Attentive Learning. - Mohammad Kasra Habib:
The Challenges of Persian User-generated Textual Content: A Machine Learning-Based Approach. - Henry Weld, Xiaoqi Huang, Siqi Long, Josiah Poon, Soyeon Caren Han:
A survey of joint intent detection and slot-filling models in natural language understanding. - Jesse Sigal:
Automatic Differentiation via Effects and Handlers: An Implementation in Frank. - Weixuan Zhang, Lionel Ott, Marco Tognon, Roland Siegwart, Juan I. Nieto:
Active Model Learning using Informative Trajectories for Improved Closed-Loop Control on Real Robots. - Severin Kacianka, Alexander Pretschner:
Designing Accountable Systems. - Till Hendrik Schulz, Tamás Horváth, Pascal Welke, Stefan Wrobel:
A Generalized Weisfeiler-Lehman Graph Kernel. - Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen:
Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation. - Andrés García-Silva, José Manuél Gómez-Pérez:
Classifying Scientific Publications with BERT - Is Self-Attention a Feature Selection Method? - Javier Escalada, Ted Scully, Francisco Ortin:
Improving type information inferred by decompilers with supervised machine learning. - Marrit Leenstra, Diego Marcos, Francesca Bovolo, Devis Tuia:
Self-supervised pre-training enhances change detection in Sentinel-2 imagery. - Panagiotis Kourtesis, Simona Collina, Leonidas A. A. Doumas, Sarah E. MacPherson:
Technological Competence is a Precondition for Effective Implementation of Virtual Reality Head Mounted Displays in Human Neuroscience: A Technological Review and Meta-analysis. - Jia-Li Zhang, Zhi-Wei Fang, Hai-Wei Sun:
Exponential-sum-approximation technique for variable-order time-fractional diffusion equations. - Mohammad Shehab, Hirley Alves, Eduard A. Jorswieck, Endrit Dosti, Matti Latva-aho:
Effective Energy Efficiency of Ultra-reliable Low Latency Communication. - Chris J. Mitchell:
The (in)security of some recently proposed lightweight key distribution schemes. - Artem Shelmanov, Dmitry Puzyrev, Lyubov Kupriyanova, Denis Belyakov, Daniil Larionov, Nikita Khromov, Olga Kozlova, Ekaterina Artemova, Dmitry V. Dylov, Alexander Panchenko:
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates. - Mohamed S. Abdelfattah, Abhinav Mehrotra, Lukasz Dudziak, Nicholas D. Lane:
Zero-Cost Proxies for Lightweight NAS. - Edilson F. Arruda, Dayse H. Pastore, Clauda M. Dias, Shyam S. Das:
Modelling and Optimal Control of Multi Strain Epidemics, with Application to COVID-19. - Kenjiro T. Miura, Péter Salvi:
On the curvature extrema of special cubic Bézier curves. - Srinivasan Arunachalam, Penghui Yao:
Positive spectrahedrons: Geometric properties, Invariance principles and Pseudorandom generators. - Wanyue Xu, Qi Bao, Zhongzhi Zhang:
Fast Evaluation for Relevant Quantities of Opinion Dynamics. - Panagiotis Kourtesis, Simona Collina, Leonidas A. A. Doumas, Sarah E. MacPherson:
Validation of the Virtual Reality Neuroscience Questionnaire: Maximum Duration of Immersive Virtual Reality Sessions Without the Presence of Pertinent Adverse Symptomatology. - Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu:
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments. - Mirco Giacobbe, Mohammadhosein Hasanbeig, Daniel Kroening, Hjalmar Wijk:
Shielding Atari Games with Bounded Prescience. - Xiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang, Xiaolin Hu:
Fooling thermal infrared pedestrian detectors in real world using small bulbs. - Markus Wallinger, Ben Jacobsen, Stephen G. Kobourov, Martin Nöllenburg:
On the Readability of Abstract Set Visualizations. - Yifan Zhang, Weiqiang Ren, Zhang Zhang, Zhen Jia, Liang Wang, Tieniu Tan:
Focal and Efficient IOU Loss for Accurate Bounding Box Regression. - Wentao Xie, Guanghui Ren, Si Liu:
Video Relation Detection with Trajectory-aware Multi-modal Features. - Panagiotis Kourtesis, Danai Korre, Simona Collina, Leonidas A. A. Doumas, Sarah E. MacPherson:
Guidelines for the Development of Immersive Virtual Reality Software for Cognitive Neuroscience and Neuropsychology: The Development of Virtual Reality Everyday Assessment Lab (VR-EAL). - Khaled Zaouk, Fei Song, Chenghao Lyu, Yanlei Diao:
Neural-based Modeling for Performance Tuning of Spark Data Analytics. - Stefan Kindermann:
Optimal-order convergence of Nesterov acceleration for linear ill-posed problems. - Paulo André Lima de Castro:
mt5b3: A Framework for Building AutonomousTraders. - Qingyun Sun, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He:
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism. - Ximing Qiao, Yuhua Bai, Siping Hu, Ang Li, Yiran Chen, Hai Li:
On Provable Backdoor Defense in Collaborative Learning. - Mario Bravetti, Julien Lange, Gianluigi Zavattaro:
Fair Refinement for Asynchronous Session Types (extended version). - Mingshuai Dong, Shimin Wei, Xiuli Yu, Jianqin Yin:
Mask-GD Segmentation Based Robotic Grasp Detection. - Paolo Baldan, Richard Eggert, Barbara König, Tommaso Padoan:
Fixpoint Theory - Upside Down. - Massimo Bernaschi, Alessandro Celestini, Marco Cianfriglia, Stefano Guarino, Flavio Lombardi, Enrico Mastrostefano:
Onion under Microscope: An in-depth analysis of the Tor network. - Rafael Ferreira, Mariana Leite, David Semedo, João Magalhães:
Open-Domain Conversational Search Assistant with Transformers. - Daniel M. Yellin, Gail Weiss:
Synthesizing Context-free Grammars from Recurrent Neural Networks (Extended Version). - Deepak Gupta, Rajkumar Pujari, Asif Ekbal, Pushpak Bhattacharyya, Anutosh Maitra, Tom Geo Jain, Shubhashis Sengupta:
Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy. - Do Le Quoc, Franz Gregor, Sergei Arnautov, Roland Kunkel, Pramod Bhatotia, Christof Fetzer:
secureTF: A Secure TensorFlow Framework. - Krzysztof J. Szajowski, Malgorzata Srednicka:
Operation comfort vs. the importance of system components. - Anton Abilov, Yiqing Hua, Hana Matatov, Ofra Amir, Mor Naaman:
VoterFraud2020: a Multi-modal Dataset of Election Fraud Claims on Twitter. - Kaushik Ayinala, Baek-Young Choi, Sejun Song:
PiChu: Accelerating Block Broadcasting in Blockchain Networks with Pipelining and Chunking. - Fayçal Ait Aoudia, Jakob Hoydis:
Trimming the Fat from OFDM: Pilot- and CP-less Communication with End-to-end Learning. - Achala Shakya, Mantosh Biswas, Mahesh Pal:
SAR and Optical data fusion based on Anisotropic Diffusion with PCA and Classification using Patch-based with LBP. - Muhammad Waseem Akhtar, Syed Ali Hassan:
TaNTIN: Terrestrial and Non-Terrestrial Integrated Networks-A collaborative technologies perspective for beyond 5G and 6G. - Mustafa Ridvan Cantas, Arpita Chand, Hao Zhang, Gopi Chandra Surnilla, Levent Güvenç:
Data Association Between Perception and V2V Communication Sensors. - Zi-Yi Dou, Graham Neubig:
Word Alignment by Fine-tuning Embeddings on Parallel Corpora. - Dae Hyun Kim, Vidya Setlur, Maneesh Agrawala:
Towards Understanding How Readers Integrate Charts and Captions: A Case Study with Line Charts. - Vinayak Sharma, Jorge Ángel González Ordiano, Ralf Mikut, Umit Cali:
Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches. - Huixiang Luo, Hao Cheng, Yuting Gao, Ke Li, Mengdan Zhang, Fanxu Meng, Xiaowei Guo, Feiyue Huang, Xing Sun:
On The Consistency Training for Open-Set Semi-Supervised Learning. - Ammarah Farooq, Muhammad Awais, Josef Kittler, Syed Safwan Khalid:
AXM-Net: Cross-Modal Context Sharing Attention Network for Person Re-ID. - Opeyemi O. Ajibola, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Energy Efficient Placement of Workloads in Composable Data Center Networks. - Iordanis Chatzinikolaidis, Zhibin Li:
Trajectory optimization for contact-rich motions using implicit differential dynamic programming. - Sam Wiseman, Arturs Backurs, Karl Stratos:
Generating (Formulaic) Text by Splicing Together Nearest Neighbors. - Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. - Borzoo Bonakdarpour, Bernd Finkbeiner:
Program Repair for Hyperproperties. - Emre Sariyildiz:
Acceleration Measurement Enhances the Bandwidth of Disturbance Observer in Motion Control Systems. - Daxin Nie, Weihua Deng:
Local discontinuous Galerkin method for the fractional diffusion equation with integral fractional Laplacian. - Iacovos Ioannou, Christophoros Christophorou, Vasos Vassiliou, Andreas Pitsillides:
Performance Evaluation of Transmission Mode Selection in D2D communication. - Matthias Heller, Andreas von Manteuffel:
MultivariateApart: Generalized Partial Fractions. - Vegard Antun, Matthew J. Colbrook, Anders C. Hansen:
Can stable and accurate neural networks be computed? - On the barriers of deep learning and Smale's 18th problem. - Gökhan Altan, Yakup Kutlu, Adnan Özhan Pekmezci, Serkan Nural:
The Diagnosis of Asthma using Hilbert-Huang Transform and Deep Learning on Lung Sounds. - Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras:
What is all this new MeSH about? Exploring the semantic provenance of new descriptors in the MeSH thesaurus. - Weiming Xiang:
Run-Time Safety Monitoring of Neural-Network-Enabled Dynamical Systems. - Pedro Abdalla, Christian Kümmerle:
Dictionary-Sparse Recovery From Heavy-Tailed Measurements. - Berat Kurar Barakat, Ahmad Droby, Majeed Kassis, Jihad El-Sana:
Text Line Segmentation for Challenging Handwritten Document Images Using Fully Convolutional Network. - Wei Gong, Laila Khalid:
Aesthetics, Personalization and Recommendation: A survey on Deep Learning in Fashion. - Amit Daniely, Gal Vardi:
From Local Pseudorandom Generators to Hardness of Learning. - Gerrit Welper:
Non-Convex Compressed Sensing with Training Data. - Kun Jin, Yevgeniy Vorobeychik, Mingyan Liu:
Multi-Scale Games: Representing and Solving Games on Networks with Group Structure. - Darja Smite, Nils Brede Moe, Eriks Klotins, Javier Gonzalez-Huerta:
Work Patterns of Software Engineers in the Forced Working-From-Home Mode. - Gang Qu, Li Xiao, Wenxing Hu, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang:
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction. - Munira Al-Ageili, Malek Mouhoub:
Communication Aid for Non-English Speaking Newcomers. - Kendra Albert, Maggie K. Delano:
"This Whole Thing Smacks of Gender": Algorithmic Exclusion in Bioimpedance-based Body Composition Analysis. - Jhabriel Varela, Elyes Ahmed, Eirik Keilegavlen, Jan Martin Nordbotten, Florin Adrian Radu:
A posteriori error estimates for hierarchical mixed-dimensional elliptic equations. - Shuyang Li, Jin Cao, Mukund Sridhar, Henghui Zhu, Shang-Wen Li, Wael Hamza, Julian J. McAuley:
Zero-shot Generalization in Dialog State Tracking through Generative Question Answering. - Giovanna Menardi, Domenico De Stefano:
Density-based clustering of social networks. - Tasneem Darwish, Günes Kurt, Halim Yanikomeroglu, Guillaume Lamontagne, Michel Bellemare:
Location Management in IP-based Future LEO Satellite Networks: A Review. - Giovanna Menardi:
Nonparametric clustering for image segmentation. - Priyanka Bhovad, Suyi Li:
Physical Reservoir Computing with Origami and its Application to Robotic Crawling. - Varun Mandalapu, Jiaqi Gong, Lujie Chen:
Do we need to go Deep? Knowledge Tracing with Big Data. - Jason Mohoney, Roger Waleffe, Yiheng Xu, Theodoros Rekatsinas, Shivaram Venkataraman:
Learning Massive Graph Embeddings on a Single Machine. - Claudia Faggian, Giulio Guerrieri:
Factorization in Call-by-Name and Call-by-Value Calculi via Linear Logic (long version). - Jie Bu, Anuj Karpatne:
Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs. - Robert Litschko, Ivan Vulic, Simone Paolo Ponzetto, Goran Glavas:
Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval. - Svenja Pieritz, Mohammed Khwaja, A. Aldo Faisal, Aleksandar Matic:
Personalised Recommendations in Mental Health Apps: The Impact of Autonomy and Data Sharing. - Emanuel Kieronski, Sebastian Rudolph:
Finite Model Theory of the Triguarded Fragment and Related Logics. - Mario Boley, Simon Teshuva, Pierre Le Bodic, Geoffrey I. Webb:
Better Short than Greedy: Interpretable Models through Optimal Rule Boosting. - Qingxiu Dong, Xiaojun Wan, Yue Cao:
ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation. - Simone Brugiapaglia, M. Liu, Paul F. Tupper:
Invariance, encodings, and generalization: learning identity effects with neural networks. - Yongquan Yang, Haijun Lv:
Discussion of Ensemble Learning under the Era of Deep Learning. - Sharu Theresa Jose, Osvaldo Simeone:
An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning. - Qiong Wu, Xu Chen, Zhi Zhou, Liang Chen, Junshan Zhang:
Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for Data-Driven Base Station Sleep Control. - Walker Ravina, Ethan Sterling, Olexiy Oryeshko, Nathan Bell, Honglei Zhuang, Xuanhui Wang, Yonghui Wu, Alexander Grushetsky:
Distilling Interpretable Models into Human-Readable Code. - Ehsan Hamzei, Stephan Winter, Martin Tomko:
Templates of generic geographic information for answering where-questions. - Tong Wu, Changhong Zhao, Ying-Jun Angela Zhang:
Privacy-Preserving Distributed Optimal Power Flow with Partially Homomorphic Encryption. - Mustafa Hajij, Ghada Zamzmi, Fawwaz Batayneh:
TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection in Chest X-Ray Images. - Wanyue Xu, Bin Wu, Zuobai Zhang, Zhongzhi Zhang, Haibin Kan, Guanrong Chen:
Coherence Scaling of Noisy Second-Order Scale-Free Consensus Networks. - Ziwen Liu, Mingqiang Li, Congying Han:
Blocked and Hierarchical Disentangled Representation From Information Theory Perspective. - Ruimin Feng, Jiayi Zhao, He Wang, Baofeng Yang, Jie Feng, Yuting Shi, Ming Zhang, Chunlei Liu, Yuyao Zhang, Jie Zhuang, Hongjiang Wei:
MoG-QSM: Model-based Generative Adversarial Deep Learning Network for Quantitative Susceptibility Mapping. - Zhongxia Zhang, Mingwen Wang:
Finger Vein Recognition by Generating Code. - Yuxiang Zhang, Sachin Mehta, Anat Caspi:
Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection. - Prerna Juneja, Tanushree Mitra:
Auditing E-Commerce Platforms for Algorithmically Curated Vaccine Misinformation. - Wenqi Zhao, Hui Li, Yuming Yuan:
Understand Volatility of Algorithmic Stablecoin: Modeling, Verification and Empirical Analysis. - Xiaoqiang Wang, Dabin Zheng, Cunsheng Ding:
Some punctured codes of several families of binary linear codes. - Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, Zhicheng Dou:
Content Selection Network for Document-grounded Retrieval-based Chatbots. - Suemin Lee, Ivan V. Bajic:
Analysis of Information Flow Through U-Nets. - Joshua D. Tobkin:
Introducing the Unitychain Structure: A novel blockchain-like structure that enables greater parallel processing, security, and performance for networks that leverage distributed key generation and classical consensus protocols. - Zahid Akhtar:
Malware Detection and Analysis: Challenges and Research Opportunities. - Xiangyu He, Qinghao Hu, Peisong Wang, Jian Cheng:
Generative Zero-shot Network Quantization. - Marco Kuhrmann, Joyce Nakatumba-Nabende, Rolf-Helge Pfeiffer, Paolo Tell, Jil Klünder, Tayana Conte, Stephen G. MacDonell, Regina Hebig:
Walking Through the Method Zoo: Does Higher Education really meet Software Industry Demands? - Jun Muramatsu:
Successive-Cancellation Decoding of Binary Polar Codes Based on Symmetric Parametrization. - Ravi Raj, Varad Bhatnagar, Aman Kumar Singh, Sneha Mane, Nilima Walde:
Video Summarization: Study of various techniques. - Ke He, Le He, Lisheng Fan, Yansha Deng, George K. Karagiannidis, Arumugam Nallanathan:
Learning based signal detection for MIMO systems with unknown noise statistics. - Osman Balli, Yakup Kutlu:
Effect of Deep Learning Feature Inference Techniques on Respiratory Sounds. - Gizem Karaca, Yakup Kutlu:
Turkish Voice Commands based Chess Game using Gammatone Cepstral Coefficients. - Laurie McLeod, Stephen G. MacDonell:
Factors that Affect Software Systems Development Project Outcomes: A Survey of Research. - Laurie McLeod, Stephen G. MacDonell, Bill Doolin:
Qualitative Research on Software Development: A Longitudinal Case Study Methodology. - Bowen Li, Changhong Fu, Fangqiang Ding, Junjie Ye, Fuling Lin:
All-Day Object Tracking for Unmanned Aerial Vehicle. - Hoda Heidari, Jon M. Kleinberg:
Allocating Opportunities in a Dynamic Model of Intergenerational Mobility. - Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh:
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary. - Jan Mandel, Angel Farguell, Adam K. Kochanski, Derek V. Mallia, Kyle Hilburn:
Simple finite elements and multigrid for efficient mass-consistent wind downscaling in a coupled fire-atmosphere model. - Jian Weng, Animesh Jain, Jie Wang, Leyuan Wang, Yida Wang, Tony Nowatzki:
UNIT: Unifying Tensorized Instruction Compilation. - Debarati B. Chakraborty, Vinay Detani, Shah Parshv Jigneshkumar:
Fire Threat Detection From Videos with Q-Rough Sets. - Enze Xie, Wenjia Wang, Wenhai Wang, Peize Sun, Hang Xu, Ding Liang, Ping Luo:
Trans2Seg: Transparent Object Segmentation with Transformer. - Deesha Chavan, Dev Saad, Debarati B. Chakraborty:
COLLIDE-PRED: Prediction of On-Road Collision From Surveillance Videos. - Cong Wang, Yan Huang, Yuexian Zou, Yong Xu:
FWB-Net: Front White Balance Network for Color Shift Correction in Single Image Dehazing via Atmospheric Light Estimation. - Nan Jiang, Kuiran Wang, Xiaoke Peng, Xuehui Yu, Qiang Wang, Junliang Xing, Guorong Li, Jian Zhao, Guodong Guo, Zhenjun Han:
Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking. - Chaoyou Fu, Yibo Hu, Xiang Wu, Hailin Shi, Tao Mei, Ran He:
CM-NAS: Rethinking Cross-Modality Neural Architectures for Visible-Infrared Person Re-Identification. - Chong Han, Longfei Yan, Jinhong Yuan:
Hybrid Beamforming for Terahertz Wireless Communications: Challenges, Architectures, and Open Problems. - Liyuan Sun, Jianping Gou, Baosheng Yu, Lan Du, Dacheng Tao:
Collaborative Teacher-Student Learning via Multiple Knowledge Transfer. - Carsten Carstensen, Rekha Khot, Amiya Kumar Pani:
A priori and a posteriori error analysis of the lowest-order NCVEM for second-order linear indefinite elliptic problems. - Yawen Xue, Shota Horiguchi, Yusuke Fujita, Yuki Takashima, Shinji Watanabe, Paola García, Kenji Nagamatsu:
Online End-to-End Neural Diarization Handling Overlapping Speech and Flexible Numbers of Speakers. - Thesath Nanayakkara, Gilles Clermont, Christopher James Langmead, David Swigon:
Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis Treatment. - Yuehong Gao, Xiao Hong, Hao Tian Yang, Lu Chen, Xiaonan Zhang:
Comparison and Improvement for Delay Analysis Approaches: Theoretical Models and Experimental Tests. - Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto:
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning. - Pratyush Kumar, Aishwarya Das, Debayan Gupta:
Differential Euler: Designing a Neural Network approximator to solve the Chaotic Three Body Problem. - Tobias Hatt, Stefan Feuerriegel:
Estimating Average Treatment Effects via Orthogonal Regularization. - Guilhem Jaber, Andrzej S. Murawski:
Complete trace models of state and control. - Osman Balli, Yakup Kutlu:
Effect of Window Size for Detection of Abnormalities in Respiratory Sounds. - Francesca Del Bonifro, Maurizio Gabbrielli, Stefano Zacchiroli:
Content-Based Textual File Type Detection at Scale. - Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh:
Pre-training without Natural Images. - Sung Woong Cho, Hyung Ju Hwang, Hwijae Son:
Traveling Wave Solutions of Partial Differential Equations via Neural Networks. - Haotian Ye, Chuanlong Xie, Yue Liu, Zhenguo Li:
Out-of-Distribution Generalization Analysis via Influence Function. - Michele Starnoni, Inga Berre, Eirik Keilegavlen, Jan M. Nordbotten:
Modelling and discretization of flow in porous media with thin, full-tensor permeability inclusions. - Vijit Malik, Ashwani Bhat, Ashutosh Modi:
Adv-OLM: Generating Textual Adversaries via OLM. - Mercedes Garcia-Salguero, Javier González Jiménez:
Fast and Robust Certifiable Estimation of the Relative Pose Between Two Calibrated Cameras. - Tian Zhang, Dongliang Chang, Zhanyu Ma, Jun Guo:
Progressive Co-Attention Network for Fine-grained Visual Classification. - Yunpeng Gong, Zhiyong Zeng:
An Effective Data Augmentation for Person Re-identification. - Sikai Zhang, Zi-Qiang Lang:
Orthogonal Least Squares Based Fast Feature Selection for Linear Classification. - Megha Nawhal, Greg Mori:
Activity Graph Transformer for Temporal Action Localization. - Sergei Ivanov, Liudmila Prokhorenkova:
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks. - (Withdrawn) Robust spectral compressive sensing via vanilla gradient descent.
- Yi Chen, Aimin Zhou:
Variable Division and Optimization for Constrained Multiobjective Portfolio Problems. - Stefan Hougardy, Meike Neuwohner, Ulrike Schorr:
A Fast Optimal Double Row Legalization Algorithm. - Nobutaka Ito, Rintaro Ikeshita, Hiroshi Sawada, Tomohiro Nakatani:
A Joint Diagonalization Based Efficient Approach to Underdetermined Blind Audio Source Separation Using the Multichannel Wiener Filter. - Sovan Biswas, Juergen Gall:
Discovering Multi-Label Actor-Action Association in a Weakly Supervised Setting. - Panchi Li, Zetao Ma, Rui Du, Jingrun Chen:
A Gauss-Seidel projection method with the minimal number of updates for stray field in micromagnetic simulations. - Quynh Nguyen:
A Note on Connectivity of Sublevel Sets in Deep Learning. - Chao Min, Yi Bu, Tao Han:
References of References: How Far is the Knowledge Ancestry. - Jingxin Zhang, Donghua Zhou, Maoyin Chen:
Monitoring nonstationary processes based on recursive cointegration analysis and elastic weight consolidation. - Sovan Biswas, Yaser Souri, Juergen Gall:
Hierarchical Graph-RNNs for Action Detection of Multiple Activities. - Abolfazl Nadi, Hadi Moradi, Khalil Taheri:
Crossbreeding in Random Forest. - Aroof Aimen, Sahil Sidheekh, Vineet Madan, Narayanan C. Krishnan:
Stress Testing of Meta-learning Approaches for Few-shot Learning. - Márton Vaitkus:
Positive Geometries for Barycentric Interpolation. - Md. Rashadul Hasan Rakib, Muhammad Asaduzzaman:
Fast Clustering of Short Text Streams Using Efficient Cluster Indexing and Dynamic Similarity Thresholds. - Neil Zeghidour, Olivier Teboul, Félix de Chaumont Quitry, Marco Tagliasacchi:
LEAF: A Learnable Frontend for Audio Classification. - Nikolay V. Proskurin:
On Separation between the Degree of a Boolean Function and the Block Sensitivity. - Jinhai Yang, Hua Yang:
MPASNET: Motion Prior-Aware Siamese Network for Unsupervised Deep Crowd Segmentation in Video Scenes. - Rupak Majumdar, Ramanathan S. Thinniyam, Georg Zetzsche:
General Decidability Results for Asynchronous Shared-Memory Programs: Higher-Order and Beyond. - Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell:
Learning rich touch representations through cross-modal self-supervision. - Riku Arakawa, Hiromu Yakura:
Mindless Attractor: A False-Positive Resistant Intervention for Drawing Attention Using Auditory Perturbation. - Christian Toth, Denis Helic, Bernhard C. Geiger:
Synwalk - Community Detection via Random Walk Modelling. - Sebastian Copei, Albert Zündorf:
Commutative Event Sourcing vs. Triple Graph Grammars. - Yingxue Pang, Jianxin Lin, Tao Qin, Zhibo Chen:
Image-to-Image Translation: Methods and Applications. - Gordon Hoi, Frank Stephan:
Improved Algorithms for the General Exact Satisfiability Problem. - V Arvind Rameshwar, Navin Kashyap:
Bounds on the Feedback Capacity of the (d, ∞)-RLL Input-Constrained Binary Erasure Channel. - Antonino Favano, Marco Ferrari, Maurizio Magarini, Luca Barletta:
The Capacity of the Amplitude-Constrained Vector Gaussian Channel. - Hongxiang Hao, Hanlin Mo, Hua Li:
Geometric Moment Invariants to Motion Blur. - Leonardo Christino, Martha Dais Ferreira, Asal Jalilvand, Fernando V. Paulovich:
Explainable Patterns: Going from Findings to Insights to Support Data Analytics Democratization. - Jinxiong Zhang:
Dive into Decision Trees and Forests: A Theoretical Demonstration. - Seyed Mehdi Meshkani, Bilal Farooq:
Graph-based many-to-one dynamic ride-matching for shared mobility services in congested networks. - Ofer Mendelevitch, Michael D. Lesh:
Fidelity and Privacy of Synthetic Medical Data. - Lucas Cassiel Jacaruso:
Free congruence: an exploration of expanded similarity measures for time series data. - Thomas Oberlin, Mathieu Verm:
Regularization via deep generative models: an analysis point of view. - Tianming Feng, Shuo Shi, Shushi Gu, Wei Xiang, Xuemai Gu:
Probabilistic Placement Optimization for Non-coherent and Coherent Joint Transmission in Cache-Enabled Cellular Networks. - Edwin Arkel Rios, Wen-Huang Cheng, Bo-Cheng Lai:
DAF: re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognition. - Izzat Alsmadi:
Adversarial Machine Learning in Text Analysis and Generation. - Marco Antonio Sotelo Monge, Jorge Maestre Vidal:
Conceptualization and cases of study on cyber operations against the sustainability of the tactical edge. - Maurice H. ter Beek, Axel Legay, Alberto Lluch-Lafuente, Andrea Vandin:
Quantitative Security Risk Modeling and Analysis with RisQFLan. - Lorenzo Bertizzolo, Tuyen X. Tran, John Buczek, Bharath Balasubramanian, Rittwik Jana, Yu Zhou, Tommaso Melodia:
Streaming from the Air: Enabling High Data-rate 5G Cellular Links for Drone Streaming Applications. - Minh-Quan Dao, Vincent Frémont:
A two-stage data association approach for 3D Multi-object Tracking. - Thomas Pfeil:
ItNet: iterative neural networks with tiny graphs for accurate and efficient anytime prediction. - Ties van Rozendaal, Iris A. M. Huijben, Taco S. Cohen:
Overfitting for Fun and Profit: Instance-Adaptive Data Compression. - Andrew Brock, Soham De, Samuel L. Smith:
Characterizing signal propagation to close the performance gap in unnormalized ResNets. - Naifu Zhang, Meixia Tao, Jia Wang:
Rate Region for Indirect Multiterminal Source Coding in Federated Learning. - Hassan Fouad, Giovanni Beltrame:
Multi-robot energy autonomy with wind and constrained resources. - Qingkai Zeng, Mengxia Yu, Wenhao Yu, Tianwen Jiang, Tim Weninger, Meng Jiang:
Validating Label Consistency in NER Data Annotation. - Dimitrije Markovic, Hrvoje Stojic, Sarah Schwöbel, Stefan J. Kiebel:
An empirical evaluation of active inference in multi-armed bandits. - Terry Ruas, William I. Grosky, Akiko Aizawa:
Multi-sense embeddings through a word sense disambiguation process. - Luís Borges, Bruno Martins, Jamie Callan:
Assessing the Benefits of Model Ensembles in Neural Re-Ranking for Passage Retrieval. - Frédéric Marazzato:
A variational discrete element method for the computation of Cosserat elasticity. - Edward Stow, Riku Murai, Sajad Saeedi, Paul H. J. Kelly:
Cain: Automatic Code Generation for Simultaneous Convolutional Kernels on Focal-plane Sensor-processors. - Jacson Rodrigues Correia da Silva, Rodrigo Ferreira Berriel, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Copycat CNN: Are Random Non-Labeled Data Enough to Steal Knowledge from Black-box Models? - Alex Dixon, Ranko Lazic, Andrzej S. Murawski, Igor Walukiewicz:
Leafy Automata for Higher-Order Concurrency. - Soham R. Phade, Venkat Anantharam:
Mechanism Design for Cumulative Prospect Theoretic Agents: A General Framework and the Revelation Principle. - Pooja Nayak Muralidhar, Digvijay Katyal, B. Sundar Rajan:
Maddah-Ali-Niesen Scheme for Multi-access Coded Caching. - Yi Shi, Yalin E. Sagduyu:
Adversarial Machine Learning for Flooding Attacks on 5G Radio Access Network Slicing. - Rima Hazra, Hardik Aggarwal, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Joint Autoregressive and Graph Models for Software and Developer Social Networks. - Lang Huang, Chao Zhang, Hongyang Zhang:
Self-Adaptive Training: Bridging the Supervised and Self-Supervised Learning. - Rosa Abbasi Boroujeni, Jonas Schiffl, Eva Darulova, Mattias Ulbrich, Wolfgang Ahrendt:
Deductive Verification of Floating-Point Java Programs in KeY. - Roman Böhringer, Nikoli Dryden, Tal Ben-Nun, Torsten Hoefler:
Clairvoyant Prefetching for Distributed Machine Learning I/O. - Jonas Schmidt, Thomas Schwentick, Till Tantau, Nils Vortmeier, Thomas Zeume:
Work-sensitive Dynamic Complexity of Formal Languages. - Zhifang Zhang, Liyang Zhou:
Rack-Aware Regenerating Codes with Fewer Helper Racks. - Fabio Amadio, Alberto Dalla Libera, Ruggero Carli, Daniel Nikovski, Diego Romeres:
Model-based Policy Search for Partially Measurable Systems. - Ivan Gridin:
Soft Genetic Programming Binary Classifiers. - Wenjie Chen, Shengcai Liu, Ke Tang:
A New Knowledge Gradient-based Method for Constrained Bayesian Optimization. - Hongyu Miao, Felix Xiaozhu Lin:
Enabling Large NNs on Tiny MCUs with Swapping. - K. K. Krishnan Namboodiri, B. Sundar Rajan:
Optimal Demand Private Coded Caching for Users with Small Buffers. - Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu:
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs. - Max Aliapoulios, Antonis Papasavva, Cameron Ballard, Emiliano De Cristofaro, Gianluca Stringhini, Savvas Zannettou, Jeremy Blackburn:
The Gospel According to Q: Understanding the QAnon Conspiracy from the Perspective of Canonical Information. - Luyu Gao, Zhuyun Dai, Jamie Callan:
Rethink Training of BERT Rerankers in Multi-Stage Retrieval Pipeline. - Farzane Khajuyi, Behnam Ghavami, Human Nikmehr:
An Efficient Communication Protocol for FPGA IP Protection. - Orna Kupferman, Salomon Sickert:
Certifying Inexpressibility. - Sérgio M. Jesus, Catarina G. Belém, Vladimir Balayan, João Bento, Pedro Saleiro, Pedro Bizarro, João Gama:
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations. - Philipp-Jan Honysz, Sebastian Buschjäger, Katharina Morik:
GPU-Accelerated Optimizer-Aware Evaluation of Submodular Exemplar Clustering. - Steffen Rendle:
Item Recommendation from Implicit Feedback. - Sam M. Werner, Daniel Perez, Lewis Gudgeon, Ariah Klages-Mundt, Dominik Harz, William J. Knottenbelt:
SoK: Decentralized Finance (DeFi). - Ruilong Li, Shan Yang, David A. Ross, Angjoo Kanazawa:
Learn to Dance with AIST++: Music Conditioned 3D Dance Generation. - Yunpeng Gong, Zhiyong Zeng, Liwen Chen, Yifan Luo, Bin Weng, Feng Ye:
A Person Re-identification Data Augmentation Method with Adversarial Defense Effect. - Giacomo Chiarot, Claudio Silvestri:
Time series compression: a survey. - Mark Heimann, Xiyuan Chen, Fatemeh Vahedian, Danai Koutra:
Refining Network Alignment to Improve Matched Neighborhood Consistency. - Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Hanxiao Liu, Gabriel Bender, Adam Kraft, Chen Liang, Quoc V. Le:
PyGlove: Symbolic Programming for Automated Machine Learning. - Feja Lesniewska, Uchenna Daniel Ani, Jeremy M. Watson, Madeline Carr:
The Internet of Things in Ports: Six Key Security and Governance Challenges for the UK (Policy Brief). - Mohammad Javad Amiri, Ziliang Lai, Liana Patel, Boon Thau Loo, Eric Lo, Wenchao Zhou:
Saguaro: Efficient Processing of Transactions in Wide Area Networks using a Hierarchical Permissioned Blockchain. - Eugenio Aulisa, Giacomo Capodaglio, Andrea Chierici, Marta D'Elia:
Efficient quadrature rules for finite element discretizations of nonlocal equations. - Benjamin Gravell, Tyler H. Summers:
Centralized Collision-free Polynomial Trajectories and Goal Assignment for Aerial Swarms. - Valentina Lenarduzzi, Savanna Lujan, Nyyti Saarimäki, Fabio Palomba:
A Critical Comparison on Six Static Analysis Tools: Detection, Agreement, and Precision. - Brendan Duke, Abdalla Ahmed, Christian Wolf, Parham Aarabi, Graham W. Taylor:
SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation. - Emre Ozfatura, Kerem Ozfatura, Deniz Gündüz:
Time-Correlated Sparsification for Communication-Efficient Federated Learning. - Kaziwa Saleh, Sándor Szénási, Zoltán Vámossy:
Occlusion Handling in Generic Object Detection: A Review. - Bryan Wang, Mengyu Yang, Tovi Grossman:
Soloist: Generating Mixed-Initiative Tutorials from Existing Guitar Instructional Videos Through Audio Processing. - Shibo Zhou, Wei Wang, Xiaohua Li, Zhanpeng Jin:
A Spike Learning System for Event-driven Object Recognition. - Alban Main de Boissiere, Rita Noumeir:
Bridging the gap between Human Action Recognition and Online Action Detection. - Philippe Monmousseau, Aude Marzuoli, Eric Feron, Daniel Delahaye:
Analyzing and comparing door-to-door travel times for air transportation using aggregated Uber data. - Evgeny Krivosheev, Fabio Casati, Alessandro Bozzon:
Active Hybrid Classification. - Zhilan Zhou, Ximing Wen, Yue Wang, David Gotz:
Modeling and Leveraging Analytic Focus During Exploratory Visual Analysis. - Florian Wolf:
Knowledge Generation - Variational Bayes on Knowledge Graphs. - Hossein Barghi Jond, Jan Platos:
Distributed Receding Horizon Control of Autonomous Convoy with Self-Interested Vehicles. - Shangtong Zhang, Hengshuai Yao, Shimon Whiteson:
Breaking the Deadly Triad with a Target Network. - Maryam Sharifi, Abdalla Swikir, Navid Noroozi, Majid Zamani:
Compositional Construction of Abstractions for Infinite Networks of Discrete-Time Switched Systems. - Gábor Fodor, Julia Vinogradova, Peter Hammarberg, Keerthi Kumar Nagalapur, Zhiqiang Tyler Qi, Hieu Do, Ricardo Blasco, Mirza Uzair Baig:
5G New Radio for Automotive, Rail, and Air Transport. - Geunsik Lim, Changwoo Min, Young Ik Eom:
Virtual Memory Partitioning for Enhancing Application Performance in Mobile Platforms. - Aamir Shafi, Jahanzeb Maqbool Hashmi, Hari Subramoni, Dhabaleswar K. Panda:
Efficient MPI-based Communication for GPU-Accelerated Dask Applications. - Anisa Halimi, Leonard Dervishi, Erman Ayday, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux, Xiaoqian Jiang, Jaideep Vaidya:
Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies. - Borzoo Bonakdarpour, Bernd Finkbeiner:
Controller Synthesis for Hyperproperties. - Michel Habib, Lalla Mouatadid, Éric Sopena, Mengchuan Zou:
(α, β)-Modules in Graphs. - Matthew Denton, Herman Schmit:
Direct Spatial Implementation of Sparse Matrix Multipliers for Reservoir Computing. - Geunsik Lim, Changwoo Min, Dong Hyun Kang, Young Ik Eom:
User-Aware Power Management for Mobile Devices. - Matteo Zallio, Paula Kelly, Barry Cryan, Damon Berry:
A co-Design approach to develop a smart cooking appliance. Applying a Domain Specific Language for a community supported appliance. - Geunsik Lim, Minho Lee, Rob J. W. E. Lahaye, Young Ik Eom:
Distributed Compilation System for High-Speed Software Build Processes. - Geunsik Lim, MyungJoo Ham, Ji Joong Moon, Wook Song, Sangjung Woo, Sewon Oh:
TAOS-CI: Lightweight & Modular Continuous Integration System for Edge Computing. - Prabhu Kaliamoorthi, Aditya Siddhant, Edward Li, Melvin Johnson:
Distilling Large Language Models into Tiny and Effective Students using pQRNN. - Geunsik Lim, Donghwa Lee, Sang-Bum Suh:
Cloud-Based Content Cooperation System to Assist Collaborative Learning Environment. - Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram:
Generative Replay-based Continual Zero-Shot Learning. - Gerard Kennedy, Zheyu Zhuang, Xin Yu, Robert E. Mahony:
Iterative Optimisation with an Innovation CNN for Pose Refinement. - Sohini Roy, Arunabha Sen:
A Self-Updating K-Contingency List for Smart Grid System. - Yue Guan, Satya N. Atluri:
Meshless Fragile Points Methods Based on Petrov-Galerkin Weak-Forms for Transient Heat Conduction Problems in Complex Anisotropic Nonhomogeneous Media. - Ifraz Rehman, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto:
Newcomer Candidate: Characterizing Contributions of a Novice Developer to GitHub. - Zhaoyi Chen, Xiong Liu, William R. Hogan, Elizabeth Shenkman, Jiang Bian:
Applications of artificial intelligence in drug development using real-world data. - Yutao Chen, Anthony Ephremides:
Minimizing Age of Incorrect Information for Unreliable Channel with Power Constraint. - Andrew Shi, Per-Olof Persson, Matthew J. Zahr:
Implicit shock tracking for unsteady flows by the method of lines. - Tianming Feng, Shuo Shi, Shushi Gu, Ning Zhang, Wei Xiang, Xuemai Gu:
Performance Analysis for Cache-enabled Cellular Networks with Cooperative Transmission. - Chuankun Li, Shuai Li, Yanbo Gao, Xiang Zhang, Wanqing Li:
A Two-stream Neural Network for Pose-based Hand Gesture Recognition. - Bolong Zheng, Lianggui Weng, Xi Zhao, Kai Zeng, Xiaofang Zhou, Christian S. Jensen:
REPOSE: Distributed Top-k Trajectory Similarity Search with Local Reference Point Tries. - Hwijae Son, Jin Woo Jang, Woo Jin Han, Hyung Ju Hwang:
Sobolev Training for the Neural Network Solutions of PDEs. - Mengjie Guo, Hengrong Lan, Changchun Yang, Fei Gao:
AS-Net: Fast Photoacoustic Reconstruction with Multi-feature Fusion from Sparse Data. - Jared Chessari, Reiichiro Kawai:
Numerical Methods for Backward Stochastic Differential Equations: A Survey. - Jinyoung Shin, Cheolhyeong Kim, Hyung Ju Hwang:
Prior Preference Learning from Experts: Designing a Reward with Active Inference. - Shixing Yu, Zhewei Yao, Amir Gholami, Zhen Dong, Michael W. Mahoney, Kurt Keutzer:
Hessian-Aware Pruning and Optimal Neural Implant. - Ye Liu, Yao Wan, Jian-Guo Zhang, Wenting Zhao, Philip S. Yu:
Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation. - Jun Muramatsu:
Binary Polar Codes Based on Bit Error Probability. - Junyuan Lin, Guangpeng Ren:
On Optimization of 1/2-Approximation Path Cover Algorithm. - Tong Chen, Sirou Zhu, Yiming Wen, Zhaomin Zheng:
Knowledge Graph Completion with Text-aided Regularization. - Petar Jevtic, Nicolas Lanchier:
Probabilistic Framework For Loss Distribution Of Smart Contract Risk. - Dong-Gyu Lee, Seong-Whan Lee:
Human Interaction Recognition Framework based on Interacting Body Part Attention. - Yuzhou Lin, Xiaolin Chang:
A novel DL approach to PE malware detection: exploring Glove vectorization, MCC_RCNN and feature fusion. - Arman Sharififar, Neda Aboutorab, Parastoo Sadeghi:
Update-based Maximum Column Distance Coding Scheme for Index Coding Problem. - Zhiyuan Jiang, Wei Zhang, Zixu Cao, Shan Cao, Shunqing Zhang, Shugong Xu:
Predictive Wireless Based Status Update for Communication-Agnostic Sampling. - Jung-Jun Kim, Dong-Gyu Lee, Jialin Wu, Honggyu Jung, Seong-Whan Lee:
Visual Question Answering based on Local-Scene-Aware Referring Expression Generation. - Lai Wei, Vaibhav Srivastava:
Nonstationary Stochastic Multiarmed Bandits: UCB Policies and Minimax Regret. - Suihua Cai, Xiao Ma:
Twisted-Pair Superposition Transmission. - Anastasios Foliadis, Mario Hernán Castañeda García, Richard A. Stirling-Gallacher, Reiner S. Thomä:
CSI-Based Localization with CNNs Exploiting Phase Information. - Kavyashree Ranawat, Stefano Giani:
Artificial intelligence prediction of stock prices using social media. - Gangming Zhao, Baolian Qi, Jinpeng Li:
Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning. - Nicolas Six, Claudia Negri-Ribalta, Nicolas Herbaut, Camille Salinesi:
A blockchain-based pattern for confidential and pseudo-anonymous contract enforcement. - Nicolas Six:
Decision process for blockchain architectures based on requirements. - Jean-Romain Luttringer, Quentin Bramas, Cristel Pelsser, Pascal Mérindol:
A Fast-Convergence Routing of the Hot-Potato. - Suman Dowlagar, Radhika Mamidi:
CMSAOne@Dravidian-CodeMix-FIRE2020: A Meta Embedding and Transformer model for Code-Mixed Sentiment Analysis on Social Media Text. - Nicholas Coxon:
An in-place truncated Fourier transform. - Suman Dowlagar, Radhika Mamidi:
HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech Detection. - Suman Dowlagar, Radhika Mamidi:
Does a Hybrid Neural Network based Feature Selection Model Improve Text Classification? - Suman Dowlagar, Radhika Mamidi:
Multilingual Pre-Trained Transformers and Convolutional NN Classification Models for Technical Domain Identification. - Gongyang Li, Zhi Liu, Ran Shi, Zheng Hu, Weijie Wei, Yong Wu, Mengke Huang, Haibin Ling:
Personal Fixations-Based Object Segmentation with Object Localization and Boundary Preservation. - Suman Dowlagar, Radhika Mamidi:
Unsupervised Technical Domain Terms Extraction using Term Extractor. - Dehong Gao, Wenjing Yang, Huiling Zhou, Yi Wei, Yi Hu, Hao Wang:
Network Clustering for Multi-task Learning. - Terry Ruas, Charles Henrique Porto Ferreira, William I. Grosky, Fabrício Olivetti de França, Debora Maria Rossi de Medeiros:
Enhanced word embeddings using multi-semantic representation through lexical chains. - Mikkel Abrahamsen, Lorenzo Beretta:
Online Packing to Minimize Area or Perimeter. - Yitian Yuan, Xiaohan Lan, Long Chen, Wei Liu, Xin Wang, Wenwu Zhu:
A Closer Look at Temporal Sentence Grounding in Videos: Datasets and Metrics. - Sidi Mohamed Beillahi, Ahmed Bouajjani, Constantin Enea:
Checking Robustness Between Weak Transactional Consistency Models. - Nina Korshunova, Gianluca Alaimo, Seyyed Bahram Hosseini, Massimo Carraturo, Alessandro Reali, Jarkko Niiranen, Ferdinando Auricchio, Ernst Rank, Stefan Kollmannsberger:
Bending behavior of additively manufactured lattice structures: numerical characterization and experimental validation. - Bas van den Heuvel, Jorge A. Pérez:
A Decentralized Analysis of Multiparty Protocols. - Marie-Christine Jakobs:
PEQcheck: Localized and Context-aware Checking of Functional Equivalence (Technical Report). - Xuping Zhang, Haimei Huo:
Homotopy Methods for Eigenvector-Dependent Nonlinear Eigenvalue Problems. - Shiwei Liu, Decebal Constantin Mocanu, Yulong Pei, Mykola Pechenizkiy:
Selfish Sparse RNN Training. - Yan A. Ivanenkov, Alexander Zhebrak, Dmitry Bezrukov, Bogdan Zagribelnyy, Vladimir Aladinskiy, Daniil Polykovskiy, Evgeny Putin, Petrina Kamya, Alexander Aliper, Alex Zhavoronkov:
Chemistry42: An AI-based platform for de novo molecular design. - Noga Alon, Omri Ben-Eliezer, Yuval Dagan, Shay Moran, Moni Naor, Eylon Yogev:
Adversarial Laws of Large Numbers and Optimal Regret in Online Classification. - Barry Smyth, Mark T. Keane:
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations. - Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan:
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation. - Xue Li, Daniele E. Schiavazzi:
An ensemble solver for segregated cardiovascular FSI. - Francesco Cappio Borlino, Antonio D'Innocente, Tatiana Tommasi:
Rethinking Domain Generalization Baselines. - Lukas Brückner, Ioannis Arapakis, Luis A. Leiva:
Query Abandonment Prediction with Recurrent Neural Models of Mouse Cursor Movements. - Valerio Perrone, Simon Hengchen, Marco Palma, Alessandro Vatri, Jim Q. Smith, Barbara McGillivray:
Lexical semantic change for Ancient Greek and Latin. - Jianguo Huang, Yue Yu:
A sparse grid discrete ordinate discontinuous Galerkin method for the radiative transfer equation. - Bernhard Etzlinger, Barbara Nußbaummüller, Philipp Peterseil, Karin Anna Hummel:
WIP: Distance Estimation for Contact Tracing - A Measurement Study of BLE and UWB Traces. - Martin Gruber, Stephan Lukasczyk, Florian Kroiß, Gordon Fraser:
An Empirical Study of Flaky Tests in Python. - Yevgeniy Puzikov:
Evaluation Discrepancy Discovery: A Sentence Compression Case-study. - Ningning Han, Shidong Li, Jian Lu:
Orthogonal subspace based fast iterative thresholding algorithms for joint sparsity recovery. - Dennis Pinto, José-María Arnau, Antonio González:
Exploiting Beam Search Confidence for Energy-Efficient Speech Recognition. - Jaap-Henk Hoepman:
Privacy Friendly E-Ticketing For Public Transport. - Ioannis Arapakis, Souneil Park, Martin Pielot:
Impact of Response Latency on User Behaviour in Mobile Web Search. - Luis A. Leiva, Ioannis Arapakis, Costas Iordanou:
My Mouse, My Rules: Privacy Issues of Behavioral User Profiling via Mouse Tracking. - Caglar Demir, Diego Moussallem, Axel-Cyrille Ngonga Ngomo:
A shallow neural model for relation prediction. - João Paulo Meneses:
Deepfakes and the 2020 US elections: what (did not) happen. - Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang:
Towards Expectation-Maximization by SQL in RDBMS. - Chang Liu, Henghui Ding, Xudong Jiang:
Towards Enhancing Fine-grained Details for Image Matting. - Ming Liang, Kui Xue, Tong Ruan:
A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization. - Jay Paul Morgan, Adeline Paiement, Arno Pauly, Monika Seisenberger:
Adaptive Neighbourhoods for the Discovery of Adversarial Examples. - Todd Huster, Jeremy E. J. Cohen, Zinan Lin, Kevin Chan, Charles A. Kamhoua, Nandi Leslie, Cho-Yu Jason Chiang, Vyas Sekar:
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions. - Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra:
The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in BERT. - Yu Chen, Ji Zhao, Laurent Kneip:
Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach. - Nicola Messina, Giuseppe Amato, Fabio Carrara, Claudio Gennaro, Fabrizio Falchi:
Solving the Same-Different Task with Convolutional Neural Networks. - Mawulolo K. Ameko, Sonia Baee, Laura E. Barnes:
LonelyText: A Short Messaging Based Classification of Loneliness. - Milan Lopuhaä-Zwakenberg, Jasper Goseling:
The Privacy-Utility Tradeoff of Robust Local Differential Privacy. - Stanislaw J. Purgal, Julian Parsert, Cezary Kaliszyk:
A Study of Continuous Vector Representationsfor Theorem Proving. - Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin, H. Vincent Poor:
Intelligent Reflecting Surface Enhanced Multi-UAV NOMA Networks. - Jesús Fuentes, Octavio Obregón:
A superstatistical formulation of complexity measures. - Orion Weller, Matthias Sperber, Christian Gollan, Joris Kluivers:
Streaming Models for Joint Speech Recognition and Translation. - Hao Yuan, Xiaoping Xie:
Mixed Finite Element Discretization for Maxwell Viscoelastic Model of Wave Propagation. - Lukas Winiwarter, Alberto Manuel Esmorís Pena, Hannah Weiser, Katharina Anders, Jorge Martínez Sánchez, Mark Searle, Bernhard Höfle:
Virtual laser scanning with HELIOS++: A novel take on ray tracing-based simulation of topographic 3D laser scanning. - Daniel Buschek, Martin Zürn, Malin Eiband:
The Impact of Multiple Parallel Phrase Suggestions on Email Input and Composition Behaviour of Native and Non-Native English Writers. - Sebastian Schultheiß, Dirk Lewandowski:
Misplaced trust? The relationship between trust, ability to identify commercially influenced results, and search engine preference. - Jonas Oppenlaender, Elina Kuosmanen, Andrés Lucero, Simo Hosio:
Hardhats and Bungaloos: Comparing Crowdsourced Design Feedback with Peer Design Feedback in the Classroom. - Elias Iosif, Klitos Christodoulou, Andreas Vlachos:
A Robust Blockchain Readiness Index Model. - Ye Ouyang, Lilei Wang, Aidong Yang, Le Su, David Belanger, Tongqing Gao, Leping Wei, Yaqin Zhang:
The Next Decade of Telecommunications Artificial Intelligence. - Sajib Saha, Fan Gu, Xue Luo, Robert L. Lytton:
Improved Sensitivity of Base Layer on the Performance of Rigid Pavement. - Luis A. Leiva, Yunfei Xue, Avya Bansal, Hamed R. Tavakoli, Tugçe Köroglu, Niraj Ramesh Dayama, Antti Oulasvirta:
Understanding Visual Saliency in Mobile User Interfaces. - Tabish Rashid, Cheng Zhang, Kamil Ciosek:
Estimating α-Rank by Maximizing Information Gain. - Zhonggang Zeng:
A Newton's Iteration Converges Quadratically to Nonisolated Solutions Too. - Namig J. Guliyev, Vugar E. Ismailov:
Approximation capability of two hidden layer feedforward neural networks with fixed weights. - Michele Nazareth da Costa, Romis Attux, Andrzej Cichocki, João M. T. Romano:
Tensor-Train Networks for Learning Predictive Modeling of Multidimensional Data. - Dariush Bahrami, Sadegh Pouriyan Zadeh:
Gravity Optimizer: a Kinematic Approach on Optimization in Deep Learning. - Petra Bevandic, Ivan Kreso, Marin Orsic, Sinisa Segvic:
Dense outlier detection and open-set recognition based on training with noisy negative images. - Nathan Cooper, Carlos Bernal-Cárdenas, Oscar Chaparro, Kevin Moran, Denys Poshyvanyk:
It Takes Two to Tango: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug Reports. - Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Ziesche, Gerhard Neumann:
Differentiable Trust Region Layers for Deep Reinforcement Learning. - Ni Zhan, Yijia Sun, Aman Jakhar, He Liu:
Graphical Models for Financial Time Series and Portfolio Selection. - Keehang Kwon:
Computability-logic web: an alternative to deep learning. - Mehmet Dedeoglu, Sen Lin, Zhaofeng Zhang, Junshan Zhang:
Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence. - Ni Zhan:
Where does the Stimulus go? Deep Generative Model for Commercial Banking Deposits. - Donato Cafarelli, Fabio Valerio Massoli, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Expression Recognition Analysis in the Wild. - Beyza Dabak, Ahmed H. Hareedy, Alexei Ashikhmin, A. Robert Calderbank:
Unequal Error Protection Achieves Threshold Gains on BEC and BSC via Higher Fidelity Messages. - Wojciech Jamroga:
A Survey of Requirements for COVID-19 Mitigation Strategies. Part II: Elicitation of Requirements. - Zitao Shen, Yoonkwon Yi, Anusha Bompelli, Fang Yu, Yanshan Wang, Rui Zhang:
Extracting Lifestyle Factors for Alzheimer's Disease from Clinical Notes Using Deep Learning with Weak Supervision. - Martin Campos Pinto, Katharina Kormann, Eric Sonnendrücker:
Variational Framework for Structure-Preserving Electromagnetic Particle-In-Cell Methods. - Mirela Silva, Daniela Oliveira:
Brazilian Favela Women: How Your Standard Solutions for Technology Abuse Might Actually Harm Them. - Michael Wilbur, Philip Pugliese, Aron Laszka, Abhishek Dubey:
Efficient Data Management for Intelligent Urban Mobility Systems. - Shinhoo Kang, Emil M. Constantinescu, Hong Zhang, Robert L. Jacob:
Mass-Conserving Implicit-Explicit Methods for Coupled Compressible Navier-Stokes Equations. - Seokhwan Kim, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, Dilek Hakkani-Tür:
Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access Track in DSTC9. - Koushik Chowdhury, Mir Ahmad Iraj:
Predicting Autism Spectrum Disorder Using Machine Learning Classifiers. - Michael Le, Yuval Tamir:
Resilient Virtualized Systems Using ReHype. - Geunsik Lim, Sang-Bum Suh:
User-Level Memory Scheduler for Optimizing Application Performance in NUMA-Based Multicore Systems. - Meurig Gallagher, David Smith:
The art of coarse Stokes: Richardson extrapolation improves the accuracy and efficiency of the method of regularized stokeslets. - Eddie Yang, Margaret E. Roberts:
Censorship of Online Encyclopedias: Implications for NLP Models. - Kaiwen Liu, Nan Li, Ilya V. Kolmanovsky, Denise Rizzo, Anouck Girard:
Safe Learning Reference Governor for Constrained Systems with Application to Fuel Truck Rollover Avoidance. - Yingfang Yuan, Wenjun Wang, George M. Coghill, Wei Pang:
A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks. - Xinyang Zhang, Ren Pang, Shouling Ji, Fenglong Ma, Ting Wang:
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks. - Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi:
Partition-Based Convex Relaxations for Certifying the Robustness of ReLU Neural Networks. - Yohan Éguillon, Bruno Lacabanne, Damien Tromeur-Dervout:
F3ORNITS: A Flexible Variable Step Size Non-Iterative Co-simulation Method handling Subsystems with Hybrid Advanced Capabilities. - Zulfat Miftahutdinov, Artur Kadurin, Roman Kudrin, Elena Tutubalina:
Drug and Disease Interpretation Learning with Biomedical Entity Representation Transformer. - James O'Neill, Danushka Bollegala:
k-Neighbor Based Curriculum Sampling for Sequence Prediction. - Arvind Srinivasan, Chien-Chung Chan:
Short Secret Sharing Using Repeatable Random Sequence Generators. - F. Patricia Medina, Randy C. Paffenroth:
Machine Learning in LiDAR 3D point clouds. - Dominic A. Neu, Johannes Lahann, Peter Fettke:
A systematic literature review on state-of-the-art deep learning methods for process prediction. - Vien Ngoc Dang, Giuseppe Di Giacomo, Viola Marconetto, Prateek Mathur, Rosa Cortese, Marco Lorenzi, Ferran Prados, Maria A. Zuluaga:
Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation. - Hadi Zanddizari, J. Morris Chang:
Generating Black-Box Adversarial Examples in Sparse Domain. - Stefan Kindermann, A. Leitao:
On regularization methods for inverse problems of dynamic type. - Andrew Fuchs, Michael Walton, Theresa Chadwick, Doug Lange:
Theory of Mind for Deep Reinforcement Learning in Hanabi. - Travis C. Cuvelier, Takashi Tanaka:
Rate of Prefix-free Codes in LQG Control Systems with Side Information. - Viet-Ha Nguyen, Kévin Perrot:
Rikudo is NP-complete. - Shenjie Huang, Majid Safari:
SPAD-Based Optical Wireless Communication with Signal Pre-Distortion and Noise Normalization. - Ruofan Wu, Zhikai Yao, Jennie Si, He Huang:
Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-critic Reinforcement Learning. - Hadjer Benmeziane, Kaoutar El Maghraoui, Hamza Ouarnoughi, Smaïl Niar, Martin Wistuba, Naigang Wang:
A Comprehensive Survey on Hardware-Aware Neural Architecture Search. - Shuo Liu, Nirupam Gupta, Nitin H. Vaidya:
Approximate Byzantine Fault-Tolerance in Distributed Optimization. - Stefan Kindermann, A. Leitao:
On regularization methods based on dynamic programming techniques. - Verner Vlacic, Céline Aubel, Helmut Bölcskei:
Beurling-type density criteria for system identification. - Amina Lejla Ibrahimpasic, Bin Han, Hans D. Schotten:
AI-Empowered VNF Migration as a Cost-Loss-Effective Solution for Network Resilience. - Fouzi Harrag, Maria Debbah, Kareem Darwish, Ahmed Abdelali:
BERT Transformer model for Detecting Arabic GPT2 Auto-Generated Tweets. - Franklin Mingzhe Li, Di Laura Chen, Mingming Fan, Khai N. Truong:
"I Choose Assistive Devices That Save My Face" A Study on Perceptions of Accessibility and Assistive Technology Use Conducted in China. - Dmitrii Ustiugov, Plamen Petrov, Marios Kogias, Edouard Bugnion, Boris Grot:
Benchmarking, Analysis, and Optimization of Serverless Function Snapshots. - Geunsik Lim, Changwoo Min, Young Ik Eom:
Load-Balancing for Improving User Responsiveness on Multicore Embedded Systems. - Geunsik Lim, MyungJoo Ham:
BB: Booting Booster for Consumer Electronics with Modern OS. - Aysegül Yanik, Mehmet Serdar Güzel, Mertkan Yanik, Erkan Bostanci:
Machine Learning Based Early Fire Detection System using a Low-Cost Drone. - Vasudevan Nagendra, Abhishek Pokala, Arani Bhattacharya, Samir R. Das:
MAVERICK: Proactively detecting network control plane bugs using structural outlierness. - Jens Kaiser, Sinan Kurtyigit, Serge Kotchourko, Dominik Schlechtweg:
Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection. - Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, Emine Yilmaz:
Slot Self-Attentive Dialogue State Tracking. - Wenjun Liu, Chang Liu, Guang Chen, Peng Hang, Alois C. Knoll:
Gaussian Process-Based Model Predictive Control for Overtaking. - Aaron Hertzmann:
The Role of Edges in Line Drawing Perception. - Bianca Trovò, Nazzareno Massari:
Ants-Review: a Protocol for Incentivized Open Peer-Reviews on Ethereum. - Sai Swaroop Madugula, Ruizhong Wei:
An Enhanced Passkey Entry Protocol for Secure Simple Pairing in Bluetooth. - Joshua A. Kroll:
Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems. - Changhao Shi, Chester Holtz, Gal Mishne:
Online Adversarial Purification based on Self-Supervision. - Brendan Tidd, Nicolas Hudson, Akansel Cosgun, Jürgen Leitner:
Learning Setup Policies: Reliable Transition Between Locomotion Behaviours. - Kai Han, Miaomiao Liu, Dirk Schnieders, Kwan-Yee K. Wong:
Fixed Viewpoint Mirror Surface Reconstruction under an Uncalibrated Camera. - Juan Irving Vasquez-Gomez, David Ernesto Troncoso Romero, Israel Becerra, Luis Enrique Sucar, Rafael Murrieta-Cid:
Next-best-view Regression using a 3D Convolutional Neural Network. - Hamid Laga, Marcel Padilla, Ian H. Jermyn, Sebastian Kurtek, Mohammed Bennamoun, Anuj Srivastava:
4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data. - Xiuhong Wei, Decai Shen, Linglong Dai:
Channel Estimation for RIS Assisted Wireless Communications: Part I - Fundamentals, Solutions, and Future Opportunities. - Xiuhong Wei, Decai Shen, Linglong Dai:
Channel Estimation for RIS Assisted Wireless Communications: Part II - An Improved Solution Based on Double-Structured Sparsity. - Shin-Cheng Mu:
Equational reasoning for non-determinism monad: the case of Spark aggregation. - Shin-Cheng Mu:
Calculating a backtracking algorithm: an exercise in monadic program derivation. - Huafeng Liu, Chuanyi Zhang, Yazhou Yao, Xiu-Shen Wei, Fumin Shen, Jian Zhang, Zhenmin Tang:
Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones. - Tatsuya Gima, Tesshu Hanaka, Masashi Kiyomi, Yasuaki Kobayashi, Yota Otachi:
Exploring the Gap Between Treedepth and Vertex Cover Through Vertex Integrity. - Hadi Zanddizari, Sreeraman Rajan, Hassan Rabah, Houman Zarrabi:
Privacy Assured Recovery of Compressively Sensed ECG signals. - James Flamino, Ross DeVito, Boleslaw K. Szymanski, Omar Lizardo:
A Machine Learning Approach to Predicting Continuous Tie Strengths. - Ayesha Enayet, Gita Sukthankar:
Analyzing Team Performance with Embeddings from Multiparty Dialogues. - Sanjay B. Thakare, Arvind W. Kiwelekar:
Recovery and Analysis of Architecture Descriptions using Centrality Measures. - Jianfei Yu, Chunxiao Yin, Linlin Liu, Tao Jia:
A paper's corresponding affiliation and first affiliation are consistent at the country level in Web of Science. - Abhishek V. Potnis, Rajat C. Shinde, Surya S. Durbha:
Towards Natural Language Question Answering over Earth Observation Linked Data using Attention-based Neural Machine Translation. - Wenjie Song, Xuan Shen:
Vertical federated learning based on DFP and BFGS. - Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor, Mohiuddin Ahmed:
Explainable Artificial Intelligence Approaches: A Survey. - Arvind W. Kiwelekar:
A Software Architecture Teacher's Dilemmas. - Xudong Sun, Florian Buettner:
Hierarchical Domain Invariant Variational Auto-Encoding with weak domain supervision. - Dheeraj Baby, Xuandong Zhao, Yu-Xiang Wang:
An Optimal Reduction of TV-Denoising to Adaptive Online Learning. - Qiuyi Lyu, Yuchen Li, Bingsheng He, Bin Gong:
DBL: Efficient Reachability Queries on Dynamic Graphs (Complete Version). - Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris:
Unlabeled Principal Component Analysis. - Rajdeep Mukherjee, Shreyas Shetty, Subrata Chattopadhyay, Subhadeep Maji, Samik Datta, Pawan Goyal:
Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wild. - Shao-Yuan Lo, Vishal M. Patel:
Error Diffusion Halftoning Against Adversarial Examples. - Linxing Preston Jiang, Luciano de la Iglesia:
Improved Training of Sparse Coding Variational Autoencoder via Weight Normalization. - Jiahuan Wang, Pingzhi Fan, Des McLernon, Zhiguo Ding:
Complementary Waveforms for Range-Doppler Sidelobe Suppression Based on a Null Space Approach. - William F. Whitney, Michael Bloesch, Jost Tobias Springenberg, Abbas Abdolmaleki, Martin A. Riedmiller:
Rethinking Exploration for Sample-Efficient Policy Learning. - Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua:
Advances and Challenges in Conversational Recommender Systems: A Survey. - Rasoul Sali, Sodiq Adewole, Alphonse Akakpo:
Feature Selection Using Reinforcement Learning. - Moisés Díaz, Momina Moetesum, Imran Siddiqi, Gennaro Vessio:
Sequence-based Dynamic Handwriting Analysis for Parkinson's Disease Detection with One-dimensional Convolutions and BiGRUs. - Akanksha Malhotra, Sudhir Kamle:
ARTH: Algorithm For Reading Text Handily - An AI Aid for People having Word Processing Issues. - Lu Chen, Xingyu Chen, Zihan Zhao, Danyang Zhang, Jiabao Ji, Ao Luo, Yuxuan Xiong, Kai Yu:
WebSRC: A Dataset for Web-Based Structural Reading Comprehension. - Junqiu Wei, Qun Liu, Yinpeng Guo, Xin Jiang:
Training Multilingual Pre-trained Language Model with Byte-level Subwords. - Viswanatha V, R. Venkata Siva Reddy:
Microcontroller based bidirectional buck boost converter for photo voltaic power plant. - Dushyant Behl, Palanivel A. Kodeswaran, Venkatraman Ramakrishna, Sayandeep Sen, Dhinakaran Vinayagamurthy:
Trusted Data Notifications from Private Blockchains. - Siyuan Chen, Jiahai Wang, Guoqing Li:
Neural Relational Inference with Efficient Message Passing Mechanisms. - Daniel Mitchell, Osama Zaki, Jamie Blanche, Joshua Roe, Leo Chi Wai Kong, Samuel Harper, Valentin Robu, Theodore Lim, David Flynn:
Symbiotic System Design for Safe and Resilient Autonomous Robotics in Offshore Wind Farms. - Xuecan Yang, Sumanta Chaudhuri, Laurence Likforman, Lirida A. B. Naviner:
MinConvNets: A new class of multiplication-less Neural Networks. - Leila Zahhafi, Omar Khadir:
A DSA-like digital signature protocol. - Can Gao, Jie Zhou, Duoqian Miao, Xiaodong Yue, Jun Wan:
Granular conditional entropy-based attribute reduction for partially labeled data with proxy labels. - Danding Wang, Wencan Zhang, Brian Y. Lim:
Show or Suppress? Managing Input Uncertainty in Machine Learning Model Explanations. - Yizhao Gao, Nanyi Fei, Guangzhen Liu, Zhiwu Lu, Tao Xiang, Songfang Huang:
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning. - Mark Zolotas, Yiannis Demiris:
Disentangled Sequence Clustering for Human Intention Inference. - Lloyd N. Trefethen:
Exactness of quadrature formulas. - Youngmin Kim, Richard Allmendinger, Manuel López-Ibáñez:
Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art. - Donlapark Ponnoprat:
Short-term daily precipitation forecasting with seasonally-integrated autoencoder. - Karthigan Sinnathamby, Chang-Yu Hou, Lalitha Venkataramanan, Vasileios-Marios Gkortsas, François Fleuret:
Unsupervised clustering of series using dynamic programming. - Dheryta Jaisinghani, Vinayak Naik, Rajesh Balan, Archan Misra, Youngki Lee:
Experiences & Challenges with Server-Side WiFi Indoor Localization Using Existing Infrastructure. - Dang Quang A, Dang Quang Long:
A unified approach to study the existence and numerical solution of functional differential equation. - John Fitzgerald, Sanna Ojanperä, Neave O'Clery:
Is academia becoming more localised? The growth of regional knowledge networks within international research collaboration. - Masahiro Kaneko, Danushka Bollegala:
Debiasing Pre-trained Contextualised Embeddings. - Masahiro Kaneko, Danushka Bollegala:
Dictionary-based Debiasing of Pre-trained Word Embeddings. - Shogo Hayakawa, Weiwei Wan, Keisuke Koyama, Kensuke Harada:
A Dual-arm Robot that Autonomously Lifts Up and Tumbles Heavy Plates Using Crane Pulley Blocks. - Jordi Bataller Mascarell:
Formal Definitions of Memory Consistency Models. - Nikita Gaevoy:
Hard satisfiable formulas for DPLL algorithms using heuristics with small memory. - Bhumika Mistry, Katayoun Farrahi, Jonathon S. Hare:
A Primer for Neural Arithmetic Logic Modules. - Hagop Karakazian, Sophie Moufawad, Nabil R. Nassif:
A Finite-Element Model for the Hasegawa-Mima Wave Equation. - James Seale Smith, Jonathan Balloch, Yen-Chang Hsu, Zsolt Kira:
Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer. - Abdullah Khanfor, Hamdi Friji, Hakim Ghazzai, Yehia Massoud:
A Social IoT-driven Pedestrian Routing Approach during Epidemic Time. - Chun-Hung Liu, Di-Chun Liang, Rung-Hung Gau:
A 3D Modeling Approach to Tractable Analysis in UAV-Enabled Cellular Networks. - Heide Gluesing-Luerssen, Hunter Lehmann:
Automorphism Groups and Isometries for Cyclic Orbit Codes. - Enrique Areyan Viqueira, Cyrus Cousins, Amy Greenwald:
Learning Competitive Equilibria in Noisy Combinatorial Markets. - Kevin Black, Shrivu Shankar, Daniel Fonseka, Jacob Deutsch, Abhimanyu Dhir, Maruthi R. Akella:
Real-Time, Flight-Ready, Non-Cooperative Spacecraft Pose Estimation Using Monocular Imagery. - Yali Wang, Steffen Limmer, Markus Olhofer, Michael Emmerich, Thomas Bäck:
Automatic Preference Based Multi-objective Evolutionary Algorithm on Vehicle Fleet Maintenance Scheduling Optimization. - Shuhang Wang, Vivek Kumar Singh, Alex Benjamin, Mercy Asiedu, Elham Yousef Kalafi, Eugene Cheah, Viksit Kumar, Anthony E. Samir:
Network-Agnostic Knowledge Transfer for Medical Image Segmentation. - Dennis J. N. J. Soemers, Vegard Mella, Cameron Browne, Olivier Teytaud:
Deep Learning for General Game Playing with Ludii and Polygames. - Joseph Hejderup, Moritz Beller, Konstantinos Triantafyllou, Georgios Gousios:
Präzi: From Package-based to Call-based Dependency Networks. - Asif Katz, Michael Peleg, Shlomo Shamai:
The Filtered Gaussian Primitive Diamond Channel. - Daniel W. Hook, Simon J. Porter:
Scaling Scientometrics: Dimensions on Google BigQuery as an infrastructure for large-scale analysis. - Xinwei Zhao, Chen Chen, Matthew C. Stamm:
A Transferable Anti-Forensic Attack on Forensic CNNs Using A Generative Adversarial Network. - Mokshith Voodarla, Shubham Shrivastava, Sagar Manglani, Ankit Vora, Siddharth Agarwal, Punarjay Chakravarty:
S-BEV: Semantic Birds-Eye View Representation for Weather and Lighting Invariant 3-DoF Localization. - Vadim Liventsev, Aki Härmä, Milan Petkovic:
BF++: a language for general-purpose neural program synthesis. - Elizabath Peter, B. Sundar Rajan:
Decentralized and Online Coded Caching with Shared Caches: Fundamental Limits with Uncoded Prefetching. - Farhan Asif Chowdhury, Dheeman Saha, Md Rashidul Hasan, Koustuv Saha, Abdullah Mueen:
Examining Factors Associated with Twitter Account Suspension Following the 2020 U.S. Presidential Election. - Hong Gao, Efe Bozkir, Lisa Hasenbein, Jens-Uwe Hahn, Richard Göllner, Enkelejda Kasneci:
Digital Transformations of Classrooms in Virtual Reality. - Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic:
ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings. - Idan Rejwan, Avi Caciularu:
On the Evolution of Word Order. - Yiyue Chen, Abolfazl Hashemi, Haris Vikalo:
Communication-Efficient Variance-Reduced Decentralized Stochastic Optimization over Time-Varying Directed Graphs. - Diyu Zhou, Yuval Tamir:
HyCoR: Fault-Tolerant Replicated Containers Based on Checkpoint and Replay. - Mustafa Ozan Tezcan, Prakash Ishwar, Janusz Konrad:
BSUV-Net 2.0: Spatio-Temporal Data Augmentations for Video-AgnosticSupervised Background Subtraction. - Xiaobin Xiong, Aaron D. Ames:
3D Underactuated Bipedal Walking via H-LIP based Gait Synthesis and Stepping Stabilization. - Yuhang Ye, Brian Lee, Yuansong Qiao:
R2P2: Reactive Routing and Payment Protocol for Named Data Network using Blockchain. - Yuliang Ji, Ru Huang, Jie Chen, Yuanzhe Xi:
Generating a Doppelganger Graph: Resembling but Distinct. - Renaud-Alexandre Pitaval:
A note on simplified SINR expressions for OFDM with insufficient CP. - Ryan D'Orazio, Ruitong Huang:
Optimistic and Adaptive Lagrangian Hedging. - Xiaoyu Lin:
Learning degraded image classification with restoration data fidelity. - Philip S. Chodrow, Nate Veldt, Austin R. Benson:
Generative hypergraph clustering: from blockmodels to modularity. - Quynh Nguyen:
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths. - Guilherme S. Varela, Pedro P. Santos, Alberto Sardinha, Francisco S. Melo:
A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers. - Aishan Liu, Xianglong Liu, Jun Guo, Jiakai Wang, Yuqing Ma, Ze Zhao, Xinghai Gao, Gang Xiao:
A Comprehensive Evaluation Framework for Deep Model Robustness. - Pascual Julián Iranzo, Fernando Sáenz-Pérez:
Implementing WordNet Measures of Lexical Semantic Similarity in a Fuzzy Logic Programming System. - Jan Glaubitz, Élise Le Mélédo, Philipp Öffner:
Towards Stable Radial Basis Function Methods for Linear Advection Problems. - Maxim A. Olshanskii, Annalisa Quaini, Qi Sun:
An unfitted finite element method for two-phase Stokes problems with slip between phases. - Jack Ridderhof, Panagiotis Tsiotras:
Chance-Constrained Covariance Steering in a Gaussian Random Field via Successive Convex Programming. - Lalita Lowphansirikul, Charin Polpanumas, Nawat Jantrakulchai, Sarana Nutanong:
WangchanBERTa: Pretraining transformer-based Thai Language Models. - Sergiu Mocanu, Alan R. Moody, April Khademi:
FlowReg: Fast Deformable Unsupervised Medical Image Registration using Optical Flow. - Hu Wang, Hao Chen, Qi Wu, Congbo Ma, Yidong Li, Chunhua Shen:
Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline. - Nannan Qin, Weikai Tan, Lingfei Ma, Dedong Zhang, Jonathan Li:
OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World. - Yu Fu, Xiao-Jun Wu:
A Dual-branch Network for Infrared and Visible Image Fusion. - Zekai Chen, Jiaze E, Xiao Zhang, Hao Sheng, Xiuzheng Cheng:
Multi-Task Time Series Forecasting With Shared Attention. - Wei Liao, Xiaohui Wei, Jizhou Lai:
Cost-limited reachability: a new problem in reachability analysis. - Jatin Ganhotra, Sachindra Joshi:
Does Dialog Length matter for Next Response Selection task? An Empirical Study. - Maria De-Arteaga, Artur Dubrawski, Alexandra Chouldechova:
Leveraging Expert Consistency to Improve Algorithmic Decision Support. - Juhyoung Lee, Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Hoi-Jun Yoo:
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning. - Zhe Peng, Jinbin Huang, Haixin Wang, Shihao Wang, Xiaowen Chu, Xinzhi Zhang, Li Chen, Xin Huang, Xiaoyi Fu, Yike Guo, Jianliang Xu:
BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing. - Aaron Stump, Benjamin Delaware, Christopher Jenkins:
Relational Type Theory (All Proofs). - Aobo Yang, Nan Wang, Hongbo Deng, Hongning Wang:
Explanation as a Defense of Recommendation. - Zijie Jiang, Hajime Taira, Naoyuki Miyashita, Masatoshi Okutomi:
VIO-Aided Structure from Motion Under Challenging Environments. - Nilanjan Sinhababu, Monalisa Sarma, Debasis Samanta:
Computational Intelligence Approach to Improve the Classification Accuracy of Brain Neoplasm in MRI Data. - Nilanjan Sinhababu, Rahul Saxena, Monalisa Sarma, Debasis Samanta:
Medical Information Retrieval and Interpretation: A Question-Answer based Interaction Model. - Guanqiu Ma, Guanghui Hu:
Factorization method with one plane wave: from model-driven and data-driven perspectives. - Ryusuke Iizuka, Fujio Toriumi, Mao Nishiguchi, Masanori Takano, Mitsuo Yoshida:
Corrective Information Does Not Necessarily Curb Social Disruption. - Shuai Xu, Dongliang Chang, Jiyang Xie, Zhanyu Ma:
Grad-CAM guided channel-spatial attention module for fine-grained visual classification. - Fahim Shahriar, Md. Abul Bashar:
Automatic Monitoring Social Dynamics During Big Incidences: A Case Study of COVID-19 in Bangladesh. - Fangda Guo, Ye Yuan, Guoren Wang, Xiangguo Zhao, Hao Sun:
Multi-attributed Community Search in Road-social Networks. - Tailin Liang, John Glossner, Lei Wang, Shaobo Shi:
Pruning and Quantization for Deep Neural Network Acceleration: A Survey. - Cengis Hasan:
Incentive Mechanism Design for Federated Learning: Hedonic Game Approach. - Siyu Yang, Dongping Li:
Efficient and accurate computation to the ε-function and its action on a vector. - Pin Lyu, Seakweng Vong:
A symmetric fractional-order reduction method for direct nonuniform approximations of semilinear diffusion-wave equations. - Marvin Geiselhart, Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer, Stephan ten Brink:
On the Automorphism Group of Polar Codes. - Guanghui Song, Kui Cai, Ce Sun, Xingwei Zhong, Jun Cheng:
Near-Optimal Detection for Both Data and Sneak-Path Interference in Resistive Memories with Random Cell Selector Failures. - Daniel de Vassimon Manela, David Errington, Thomas Fisher, Boris van Breugel, Pasquale Minervini:
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models. - Ni Ding, Yucheng Liu, Farhad Farokhi:
A Linear Reduction Method for Local Differential Privacy and Log-lift. - Mohsen Ahmadzadeh, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
A2P-MANN: Adaptive Attention Inference Hops Pruned Memory-Augmented Neural Networks. - Longteng Guo, Jing Liu, Xinxin Zhu, Hanqing Lu:
Fast Sequence Generation with Multi-Agent Reinforcement Learning. - Shin-Cheng Mu, Tsung-Ju Chiang:
Longest segment of balanced parentheses - an exercise in program inversion in a segment problem (Functional Pearl). - Richard S. Bird, Shin-Cheng Mu:
A greedy algorithm for dropping digits (Functional Pearl). - Igor Donevski, Jimmy Jessen Nielsen, Petar Popovski:
Standalone Deployment of a Dynamic Drone Cell for Wireless Connectivity of Two Services. - Lin Xiao, Xiangliang Zhang, Liping Jing, Chi Huang, Mingyang Song:
Does Head Label Help for Long-Tailed Multi-Label Text Classification. - Pablo Lopez-Osorio, Alberto Patiño-Saucedo, Juan Pedro Dominguez-Morales, Horacio Rostro-González, Fernando Perez-Peña:
Neuromorphic adaptive spiking CPG towards bio-inspired locomotion of legged robots. - Gerrit A. Ecke, Harald M. Papp, Hanspeter A. Mallot:
Exploitation of Image Statistics with Sparse Coding in the Case of Stereo Vision. - Junkai Zhang, Haifeng Luo, Navneet Garg, Abhijeet Bishnu, Mark Holm, Tharmalingam Ratnarajah:
Design and Analysis of Wideband Full-Duplex FR2-IAB Networks. - Tobias Michel Latta:
Combining SimTrust and Weighted Simple Exponential Smoothing. - TianZhang He, Adel Nadjaran Toosi, Rajkumar Buyya:
SLA-Aware Multiple Migration Planning and Scheduling in SDN-NFV-enabled Clouds. - Fabio Ferreira, Thomas Nierhoff, Frank Hutter:
Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies. - Anton Andreychuk, Konstantin S. Yakovlev, Eli Boyarski, Roni Stern:
Improving Continuous-time Conflict Based Search. - Hareesh Mandalapu, Aravinda Reddy P. N, Raghavendra Ramachandra, K. Sreenivasa Rao, Pabitra Mitra, S. R. Mahadeva Prasanna, Christoph Busch:
Audio-Visual Biometric Recognition and Presentation Attack Detection: A Comprehensive Survey. - Qingguo Hong, Yuwen Li, Jinchao Xu:
An Extended Galerkin analysis in finite element exterior calculus. - Hossein Boomari, Mojtaba Ostovari, Alireza Zarei:
Recognizing Visibility Graphs of Triangulated Irregular Networks. - Rajkumar Pujari, Swara Desai, Niloy Ganguly, Pawan Goyal:
A Novel Two-stage Framework for Extracting Opinionated Sentences from News Articles. - Nati Ofir, Jean-Christophe Nebel:
Classic versus deep approaches to address computer vision challenges. - Julian Tanke, Juergen Gall:
Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views. - Levon Aslanyan, Hasmik Sahakyan:
Notes on Monotone Recognition in Multi-Valued Grids. - Sohum Misra, Kaarthik Sundar, Rajnikant Sharma, Kevin M. Brink:
Deployable, Data-Driven Unmanned Vehicle Navigation System in GPS-Denied, Feature-Deficient Environments. - Holger Boche, Christian Deppe:
Computability of the Channel Reliability Function and Related Bounds. - Shijie Geng, Peng Gao, Zuohui Fu, Yongfeng Zhang:
RomeBERT: Robust Training of Multi-Exit BERT. - Michael A. Hedderich, Dawei Zhu, Dietrich Klakow:
Analysing the Noise Model Error for Realistic Noisy Label Data. - Milad Alshomary, Wei-Fan Chen, Timon Gurcke, Henning Wachsmuth:
Belief-based Generation of Argumentative Claims. - Hongyin Luo, Shang-Wen Li, James R. Glass:
Knowledge Grounded Conversational Symptom Detection with Graph Memory Networks. - Nikita Zvonarev, Nina Golyandina:
Low-rank signal subspace: parameterization, projection and signal estimation. - Oliver Giudice, Luca Guarnera, Sebastiano Battiato:
Fighting deepfakes by detecting GAN DCT anomalies. - Pramuditha Perera, Vishal M. Patel:
A Joint Representation Learning and Feature Modeling Approach for One-class Recognition. - Shaowei Zhu, Zachary Kincaid:
Termination Analysis Without the Tears. - Vijith Kumar K. P, Brijesh Kumar Rai, Tony Jacob:
The Exact Rate Memory Tradeoff for Large Caches with Coded Placement. - Stephan C. Meylan, Sathvik Nair, Thomas L. Griffiths:
Evaluating Models of Robust Word Recognition with Serial Reproduction. - Hao Xu, Tianyu Yang, Giuseppe Caire, Shlomo Shamai:
Information Bottleneck for an Oblivious Relay with Channel State Information: the Vector Case. - Nitesh Kumar, Ondrej Kuzelka:
Context-Specific Likelihood Weighting. - Pranjal Singh Rajput, Kanya Satis, Sonnya Dellarosa, Wenxuan Huang, Obinna Agba:
cGANs for Cartoon to Real-life Images. - Neeldhara Misra, Chinmay Sonar, P. R. Vaidyanathan, Rohit Vaish:
Equitable Division of a Path. - Xiaohong Deng, Yun Feng, Thanchanok Sutjarittham, Hassan Habibi Gharakheili, Blanca Gallego, Vijay Sivaraman:
Comparing Broadband ISP Performance using Big Data from M-Lab. - Saitel Daniela Agudelo-Sanabria, Anshul Jindal:
The Ifs and Buts of the Development Approaches for IoT Applications. - Zaid A. Hussain, Hosam M. F. AboElFotoh, Bader F. AlBdaiwi:
Independent Spanning Trees in Eisenstein-Jacobi Networks. - Anshul Jindal, Paul Staab, Jorge Cardoso, Michael Gerndt, Vladimir Podolskiy:
Online Memory Leak Detection in the Cloud-based Infrastructures. - Fabrizio Lillo, Salvatore Ruggieri:
Estimating the Total Volume of Queries to a Search Engine. - Rui Li, Yufan Xu, Aravind Sukumaran-Rajam, Atanas Rountev, P. Sadayappan:
Analytical Characterization and Design Space Exploration for Optimization of CNNs. - Bilal Ghanem, Simone Paolo Ponzetto, Paolo Rosso, Francisco M. Rangel Pardo:
FakeFlow: Fake News Detection by Modeling the Flow of Affective Information. - Francesco D'Angelo, Vincent Fortuin:
Annealed Stein Variational Gradient Descent. - Ali Rasteh, Florian Delpech, Carlos Aguilar Melchor, Romain Zimmer, Saeed Bagheri Shouraki, Timothée Masquelier:
Encrypted Internet traffic classification using a supervised Spiking Neural Network. - Edwin Pan, Pankaj Rajak, Shubham Shrivastava:
Meta-Regularization by Enforcing Mutual-Exclusiveness. - Pranjal Singh Rajput, Sonnya Dellarosa, Kanya Satis:
A Survey of Novel Cache Hierarchy Designs for High Workloads. - James W. Webber, Eric L. Miller:
A novel reconstruction technique for two-dimensional Bragg scatter imaging. - Harini Suresh, Steven R. Gomez, Kevin K. Nam, Arvind Satyanarayan:
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs. - Nathaniel Simard, Guillaume Lagrange:
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks. - Daniel Inzunza, Felipe Lepe, Gonzalo Rivera:
Displacement-pseudostress formulation for the linear elasticity spectral problem: a priori analysis. - Reid Atcheson:
A Generalization of QR Factorization To Non-Euclidean Norms. - Jeffrey Murray Jr, Afra Mashhadi, Brent Lagesse, Michael Stiber:
Privacy Preserving Techniques Applied to CPNI Data: Analysis and Recommendations. - Mauro Sebastián Innocente, Johann Sienz:
Particle Swarm Optimization: Development of a General-Purpose Optimizer. - Yurong Guo, Zhanyu Ma, Xiaoxu Li, Yuan Dong:
ATRM: Attention-based Task-level Relation Module for GNN-based Few-shot Learning. - Leslie Ching Ow Tiong, HeeJeong Jasmine Lee:
E-cheating Prevention Measures: Detection of Cheating at Online Examinations Using Deep Learning Approach - A Case Study. - Jonah A. Reeger:
Approximate Integrals Over Bounded Volumes with Smooth Boundaries. - Yash Chandak, Shiv Shankar, Philip S. Thomas:
High-Confidence Off-Policy (or Counterfactual) Variance Estimation. - Roozbeh Yousefzadeh:
Deep Learning Generalization and the Convex Hull of Training Sets. - Christine Largeron, Andrei Mardale, Marian-Andrei Rizoiu:
Linking User Opinion Dynamics and Online Discussions. - Gnana Praveen R., Eric Granger, Patrick Cardinal:
Weakly Supervised Learning for Facial Behavior Analysis : A Review. - Weiming Xiang:
A Data-Driven Modeling Framework of Time-Dependent Switched Dynamical Systems via Extreme Learning Machine. - Yufei Wang, Ian D. Wood, Stephen Wan, Mark Johnson:
ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning. - Xuanyi Dong, Yi Yang, Shih-En Wei, Xinshuo Weng, Yaser Sheikh, Shoou-I Yu:
Supervision by Registration and Triangulation for Landmark Detection. - Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin:
CPT: Efficient Deep Neural Network Training via Cyclic Precision. - Lelia Marie Hampton:
Black Feminist Musings on Algorithmic Oppression. - Mikhail A. Bragin, Yury Dvorkin:
TSO-DSO Operational Planning Coordination through Surrogate Lagrangian Relaxation. - Ajesh Koyatan Chathoth, Abhyuday Jagannatha, Stephen Lee:
Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy. - A. Kishore Kumar, Shefali Waldekar, Goutam Saha, Md. Sahidullah:
Domain-Dependent Speaker Diarization for the Third DIHARD Challenge. - Mehdi Hosseinzadeh, Bruno Sinopoli:
Active Attack Detection and Control in Constrained Cyber-Physical Systems Under Prevented Actuation Attack. - Akihiko Takahashi, Yoshifumi Tsuchida, Toshihiro Yamada:
A new efficient approximation scheme for solving high-dimensional semilinear PDEs: control variate method for Deep BSDE solver. - Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu:
Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization. - Amir Pouran Ben Veyseh, Franck Dernoncourt, Walter Chang, Thien Huu Nguyen:
MadDog: A Web-based System for Acronym Identification and Disambiguation. - Zilong Cheng, Jun Ma, Xiaoxue Zhang, Clarence W. de Silva, Tong Heng Lee:
ADMM-Based Parallel Optimization for Multi-Agent Collision-Free Model Predictive Control. - Jae-Yeul Kim, Jong-Eun Ha:
Spatio-temporal Data Augmentation for Visual Surveillance. - Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans:
Is Phase Shift Keying Optimal for Channels with Phase-Quantized Output? - Samuel H. Florin, Matthew H. Ho, Zilin Jiang:
On the binary adder channel with complete feedback, with an application to quantitative group testing. - Jing Xu, Tszhang Guo, Zenglin Xu, Kun Bai:
MultiFace: A Generic Training Mechanism for Boosting Face Recognition Performance. - Liang Zhao, Hexin Cao, Yunsong Zhao:
GP: Context-free Grammar Pre-training for Text-to-SQL Parsers. - Weixin Jiang, Eric Schwenker, Trevor Spreadbury, Nicola J. Ferrier, Maria K. Y. Chan, Oliver Cossairt:
A Two-stage Framework for Compound Figure Separation. - Sai Koppula, Shivang Singh:
Using Angle of Arrival for Improving Indoor Localization. - Joachim Gudmundsson, Mees van de Kerkhof, André van Renssen, Frank Staals, Lionov Wiratma, Sampson Wong:
Covering a set of line segments with a few squares. - Lei Huang, Jiecong Lin, Xiangtao Li, Linqi Song, Ka-Chun Wong:
EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information. - Hyun-Woo Kim, Honggyu Jung, Seong-Whan Lee:
Weakly Supervised Thoracic Disease Localization via Disease Masks. - David Eppstein, Siddharth Gupta, Elham Havvaei:
Parameterized Complexity of Finding Subgraphs with Hereditary Properties on Hereditary Graph Classes. - Yixiang Wang, Jiqiang Liu, Xiaolin Chang:
Generalizing Adversarial Examples by AdaBelief Optimizer. - (Withdrawn) From Model-driven to Data-driven: A Survey on Active Deep Learning.
- Miaolei He, Jilin He, Xuanyi Zhou:
Robust Flight Control of a Small Unmanned Helicopter. - Haruki Tadano, Yoshihiko Susuki, Atsushi Ishigame:
Asymptotic Assessment of Distribution Voltage Profile Using a Nonlinear ODE Model. - Abdourrahmane Mahamane Atto, Sylvie Galichet, Dominique Pastor, Nicolas Méger:
Parametric Rectified Power Sigmoid Units: Learning Nonlinear Neural Transfer Analytical Forms. - Rui Sun, Weidong Wang, Li Chen, Guo Wei, Wenyi Zhang:
Blind Diagnosis for Millimeter-wave Massive MIMO Systems. - Johannes Lederer:
Activation Functions in Artificial Neural Networks: A Systematic Overview. - Keyan Zhai, Chu'an Li, Andre Rosendo:
Scaffolded Gait Learning of a Quadruped Robot with Bayesian Optimization. - Siyi Yang, Ahmed H. Hareedy, Shyam Venkatasubramanian, A. Robert Calderbank, Lara Dolecek:
GRADE-AO: Towards Near-Optimal Spatially-Coupled Codes With High Memories. - Ling Liu, Shengli Zhang, Cong Ling:
Set Reconciliation for Blockchains with Slepian-Wolf Coding: Deletion Polar Codes. - Davide Pala, Ivan Miro-Panades, Olivier Sentieys:
Freezer: A Specialized NVM Backup Controller for Intermittently-Powered Systems. - Manoj Prabhakar Kannan Ravi, Kuldeep Singh, Isaiah Onando Mulang', Saeedeh Shekarpour, Johannes Hoffart, Jens Lehmann:
CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata. - Manuj Mukherjee, Aslan Tchamkerten, Mansoor I. Yousefi:
Approximating Probability Distributions by ReLU Networks. - Mauro Sebastián Innocente, Ll. Torres, X. Cahís, G. Barbeta, A. Catalán:
Optimal Flexural Design of FRP-Reinforced Concrete Beams Using a Particle Swarm Optimizer. - Tianming Zhao, Chunyang Chen, Yuanning Liu, Xiaodong Zhu:
GUIGAN: Learning to Generate GUI Designs Using Generative Adversarial Networks. - Wei Wang, Baopu Li, Shuhui Yang, Jing Sun, Zhengming Ding, Junyang Chen, Xiao Dong, Zhihui Wang, Haojie Li:
A Unified Joint Maximum Mean Discrepancy for Domain Adaptation. - Bei Guo, Renwang Li, Meixia Tao:
Joint Design of Hybrid Beamforming and Phase Shifts in RIS-Aided mmWave Communication Systems. - Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel:
Adversarial Text-to-Image Synthesis: A Review. - Yurim Lee, Eunji Jun, Heung-Il Suk:
Multi-view Integration Learning for Irregularly-sampled Clinical Time Series. - Xiajing Li, Marios Daoutis:
Unsupervised Key-phrase Extraction and Clustering for Classification Scheme in Scientific Publications. - Nadia Brancati, Giuseppe De Pietro, Daniel Riccio, Maria Frucci:
Gigapixel Histopathological Image Analysis using Attention-based Neural Networks. - Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann:
On maximum-likelihood estimation in the all-or-nothing regime. - Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Tulsee Doshi, Vinodkumar Prabhakaran:
Re-imagining Algorithmic Fairness in India and Beyond. - Matteo Zallio:
Democratizing information visualization. A study to map the value of graphic design to easier knowledge transfer of scientific research. - Xudong Han, Timothy Baldwin, Trevor Cohn:
Diverse Adversaries for Mitigating Bias in Training. - Mohamed F. Marzban, Ahmed El Shafie, Ahmed Kamal Sultan-Salem, Naofal Al-Dhahir:
Securing Full-Duplex Amplify-and-Forward Relay-Aided Transmissions Through Processing-Time Optimization. - Konstantinos Gatsis:
Adaptive Scheduling for Machine Learning Tasks over Networks. - Michele La Manna, Pericle Perazzo, Gianluca Dini:
SEA-BREW: A Scalable Attribute-Based Encryption Scheme for Low-Bitrate IoT Wireless Networks. - Sebastian Köhler, Giulio Lovisotto, Simon Birnbach, Richard Baker, Ivan Martinovic:
They See Me Rollin': Inherent Vulnerability of the Rolling Shutter in CMOS Image Sensors. - Clark Emmanuel Paulo, Arvin Ken Ramirez, David Clarence Reducindo, Rannie Mark Mateo, Joseph Marvin Imperial:
A Simple Disaster-Related Knowledge Base for Intelligent Agents. - Yunhe Wang, Mingqiang Huang, Kai Han, Hanting Chen, Wei Zhang, Chunjing Xu, Dacheng Tao:
AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence. - Jichen Zhu, Diane H. Dallal, Robert C. Gray, Jennifer Villareale, Santiago Ontañón, Evan M. Forman, Danielle Arigo:
Personalization Paradox in Behavior Change Apps: Lessons from a Social Comparison-Based Personalized App for Physical Activity. - Zhihui Liu:
Lp-Convergence Rate of Backward Euler Schemes for Monotone SDEs. - Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Yuelong Wang, Yusen Wang:
A Review of Graph Neural Networks and Their Applications in Power Systems. - Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Seyit Camtepe, Dinh Phung:
Understanding and Achieving Efficient Robustness with Adversarial Contrastive Learning. - Lukas Holzbaur, Sven Puchinger, Eitan Yaakobi, Antonia Wachter-Zeh:
Correctable Erasure Patterns in Product Topologies. - Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features. - Yi-Chi Liao:
Computational Workflows for Designing Input Devices. - Toms Bergmanis, Marcis Pinnis:
Facilitating Terminology Translation with Target Lemma Annotations. - Kevin Styp-Rekowski, Florian Schmidt, Odej Kao:
Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series. - Hassan Alhuzali, Sophia Ananiadou:
SpanEmo: Casting Multi-label Emotion Classification as Span-prediction. - Balasubramanyam Appina, Mansi Sharma, Santosh Kumar:
Latent Factor Modeling of Users Subjective Perception for Stereoscopic 3D Video Recommendation. - Tomasz Stanczyk, Siamak Mehrkanoon:
Deep Graph Convolutional Networks for Wind Speed Prediction. - Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro:
Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors. - Ozan Caglayan, Menekse Kuyu, Mustafa Sercan Amac, Pranava Madhyastha, Erkut Erdem, Aykut Erdem, Lucia Specia:
Cross-lingual Visual Pre-training for Multimodal Machine Translation. - Stefan Marksteiner, Nadja Marko, Andre Smulders, Stelios Karagiannis, Florian Stahl, Hayk Hamazaryan, Rupert Schlick, Stefan Kraxberger, Alexandr Vasenev:
A Process to Facilitate Automated Automotive Cybersecurity Testing. - George Dasoulas, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Learning Parametrised Graph Shift Operators. - Erik Burman, Peter Hansbo, Mats G. Larson:
CutFEM Based on Extended Finite Element Spaces. - Denis Nikitin, Carlos Canudas-de-Wit, Paolo Frasca:
A Continuation Method for Large-Scale Modeling and Control: from ODEs to PDE, a Round Trip. - Mantun Chen, Xiatian Zhu, Zhiquan Qin, Yongjun Wang:
Few-Shot Website Fingerprinting Attack. - Cameron Browne:
Modern Techniques for Ancient Games. - Danushka Bollegala, Huda Hakami, Yuichi Yoshida, Ken-ichi Kawarabayashi:
RelWalk A Latent Variable Model Approach to Knowledge Graph Embedding. - Xingyu Zhao, Tian Lin, Yu Zhu:
Joint Active and Passive Beamforming for Intelligent Reflecting Surface Aided Multiuser MIMO Communications. - George Datseris, Ali R. Vahdati, Timothy C. DuBois:
Agents.jl: A performant and feature-full agent based modelling software of minimal code complexity. - Setareh Maghsudi, Andrew S. Lan, Jie Xu, Mihaela van der Schaar:
Personalized Education in the AI Era: What to Expect Next? - Baoliang Chen, Wenhan Yang, Haoliang Li, Shiqi Wang, Sam Kwong:
Camera Invariant Feature Learning for Generalized Face Anti-spoofing. - Hedayat Zarkoob, Farzad Abdolhosseini, Kevin Leyton-Brown:
Mechanical TA 2: A System for Peer Grading with TA Support. - Debra F. Laefer, Thomas Kirchner, Haoran Jiang, Darlene Cheong, Yunqi Jiang, Aseah Khan, Weiyi Qiu, Nikki Tai, Tiffany Truong, Maimunah Virk:
Data Resource Profile: Egress Behavior from Select NYC COVID-19 Exposed Health Facilities March-May 2020. - Sri Sai Abhishake Gopal Dasari:
Unified Citizen Identity System Using Blockchain. - Will Crichton, Georgia Gabriela Sampaio, Pat Hanrahan:
Automating Program Structure Classification. - Faxi Yuan, Amir Esmalian, Bora Oztekin, Ali Mostafavi:
Unveiling Spatial Patterns of Disaster Impacts and Recovery Using Credit Card Transaction Variances. - Mehran Sahandi Far, Michael Stolz, Jona M. Fischer, Simon B. Eickhoff, Juergen Dukart:
JuTrack: A Digital Biomarker Platform for Remote Monitoring in Neuropsychiatric and Psychiatric Diseases. - Maximilian Parzen, Fabian Neumann, Addrian H. van der Weijde, Daniel Friedrich, Aristides E. Kiprakis:
Beyond cost reduction: Improving the value of energy storage in electricity systems. - Bei Guo, Chenhao Sun, Meixia Tao:
Two-Way Passive Beamforming Design for RIS-Aided FDD Communication Systems. - Yotam Shichel, Meir Kalech, Oren Tsur:
With Measured Words: Simple Sentence Selection for Black-Box Optimization of Sentence Compression Algorithms. - Michael Lissack:
The Slodderwetenschap (Sloppy Science) of Stochastic Parrots - A Plea for Science to NOT take the Route Advocated by Gebru and Bender. - Renjue Li, Pengfei Yang, Cheng-Chao Huang, Bai Xue, Lijun Zhang:
Probabilistic Robustness Analysis for DNNs based on PAC Learning. - Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell:
Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election. - Miguel Calvo-Fullana, Daniel Mox, Alexander Pyattaev, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro:
ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators. - Martin Papco, Iosu Rodríguez-Martínez, Javier Fumanal-Idocin, Abdulrahman H. Altalhi, Humberto Bustince:
A fusion method for multi-valued data. - Amin Aghalari, Farjana Nur, Mohammad Marufuzzaman, Stephen M. Puryear:
Designing a Reliable Inland Waterway Transportation Network under Uncertainty. - Mu Zhu, Ahmed H. Anwar, Zelin Wan, Jin-Hee Cho, Charles A. Kamhoua, Munindar P. Singh:
Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey. - Ger Koole, Siqiao Li:
A practice-oriented overview of call center workforce planning. - Arnaud Van Looveren, Janis Klaise, Giovanni Vacanti, Oliver Cobb:
Conditional Generative Models for Counterfactual Explanations. - Jérôme Mariette, Odile Blanchard, Olivier Berné, Tamara Ben Ari:
An open-source tool to assess the carbon footprint of research. - Abdullah Kurkcu, Ilgin Gökasar, Onur Kalan, Alperen Timurogullari, Burak Altin:
Insights into the Impact of COVID-19 on Bicycle Usage in Colorado Counties. - Salma Chaieb, Brahim Hnich, Ali Ben Mrad:
Obsolete Personal Information Update System for the Prevention of Falls among Elderly Patients. - Pum Walters, Michael Nieweg, James Watson:
Learning Outcome Oriented Programmatic Assessment. - Pascal Heid, Thomas P. Wihler:
A modified Kačanov iteration scheme with application to quasilinear diffusion models. - Gerson Portilla, Irina V. Alexandrova, Sabine Mondié, Alexey P. Zhabko:
Estimates for solutions of homogeneous time-delay systems: Comparison of Lyapunov-Krasovskii and Lyapunov-Razumikhin techniques. - Sumit Mehra, Jantine van den Helder, Ben J. A. Kröse, Raoul H. H. Engelbert, Peter J. M. Weijs, Bart Visser:
Predicting Exercise Adherence and Physical Activity in Older Adults Based on Tablet Engagement: A Post-hoc Study. - Kyriakos D. Apostolidis, P. S. Amanatidis, George A. Papakostas:
Performance Evaluation of Convolutional Neural Networks for Gait Recognition. - Nergis Tomen, Jan van Gemert:
Spectral Leakage and Rethinking the Kernel Size in CNNs. - Ilya Dumer, Navid Gharavi:
Codes approaching the Shannon limit with polynomial complexity per information bit. - Runcong Zhao, Lin Gui, Gabriele Pergola, Yulan He:
Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews. - Cong Chen, Lang Tong, Ye Guo:
Pricing Energy Storage in Real-time Market. - Ying Chen, Xu Ouyang, Kaiyue Zhu, Gady Agam:
Mask-based Data Augmentation for Semi-supervised Semantic Segmentation. - Hao Li:
On w-Optimization of the Split Covariance Intersection Filter. - Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe:
Measuring Dependence with Matrix-based Entropy Functional. - Giulia Francescutto, Konstantin Schekotihin, Mohammed M. S. El-Kholany:
Solving a Multi-resource Partial-ordering Flexible Variant of the Job-shop Scheduling Problem with Hybrid ASP. - Mohamed Raessa, Weiwei Wan, Kensuke Harada:
Planning to Repose Long and Heavy Objects Considering a Combination of Regrasp and Constrained Drooping. - Aviv Ben Haim, Oren Tsur:
Open-Mindedness and Style Coordination in Argumentative Discussions. - William J. DeMeo:
The Agda Universal Algebra Library and Birkhoff's Theorem in Martin-Löf Dependent Type Theory. - Marcus Westberg, Kary Främling:
Cognitive Perspectives on Context-based Decisions and Explanations. - Yongxin Liu, Jian Wang, Jianqiang Li, Shuteng Niu, Houbing Song:
Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey. - Mohammad Marufuzzaman, Amin Aghalari, Randy K. Buchanan, Christina H. Rinaudo, Kayla M. Houte, Julekha H. Ranta:
Optimal Placement of Detectors to Minimize Casualties on a Manmade Attack. - Andreas Otte, Jonas Vogt, Jens Staub, Niclas Wolniak, Horst Wieker:
Neurocognitive and traffic based handover strategies. - Jonas Vogt, Niclas Wolniak, Horst Wieker:
Trinational Automated Mobility. - György Lipták, Mike Pereira, Balázs Kulcsár, Mihály Kovács, Gábor Szederkényi:
Traffic Reaction Model. - Chatchai Wangwiwattana, Sunjoli Aggarwal, Eric C. Larson:
Writers Gonna Wait: The Effectiveness of Notifications to Initiate Aversive Action in Writing Procrastination. - Katikapalli Subramanyam Kalyan, Sivanesan Sangeetha:
A Hybrid Approach to Measure Semantic Relatedness in Biomedical Concepts. - Ioannis Zografopoulos, Juan Ospina, Xiaorui Liu, Charalambos Konstantinou:
Cyber-Physical Energy Systems Security: Threat Modeling, Risk Assessment, Resources, Metrics, and Case Studies. - Ngoc Long Nguyen, Jérémy Anger, Axel Davy, Pablo Arias, Gabriele Facciolo:
Proba-V-ref: Repurposing the Proba-V challenge for reference-aware super resolution. - Tim Ziemer, Pattararat Kiattipadungkul, Tanyarin Karuchit:
Novel Recording Studio Features for Music Information Retrieval. - Eli Schwartz, Alex M. Bronstein, Raja Giryes:
ISP Distillation. - (Withdrawn) Novel Dynamic Load Balancing Algorithm for Cloud-Based Big Data Analytics.
- Yongliang Shen, Xinyin Ma, Yechun Tang, Weiming Lu:
A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction. - Ida Mele, Cristina Ioana Muntean, Mohammad Aliannejadi, Nikos Voskarides:
MICROS: Mixed-Initiative ConveRsatiOnal Systems Workshop. - Mahdi M. Najafabadi, Ali Asgary, Mohammadali Tofighi, Ghassem Tofighi:
Generating Simulation-Based Contacts Matrices for Disease Transmission Modelling at Special Settings. - Vishrant Tripathi, Eytan H. Modiano:
Age Debt: A General Framework For Minimizing Age of Information. - Hu Cao, Guang Chen, Zhijun Li, Jianjie Lin, Alois C. Knoll:
Lightweight Convolutional Neural Network with Gaussian-based Grasping Representation for Robotic Grasping Detection. - Yuto Aizawa, Masato Kimura:
Universal Approximation Properties for ODENet and ResNet. - David Daly:
Creating a Virtuous Cycle in Performance Testing at MongoDB. - Snigdha Athaiya, Raghavan Komondoor, K. Narayan Kumar:
Data Flow Analysis of Asynchronous Systems using Infinite Abstract Domains. - Marco Bondaschi, Albert Guillén i Fàbregas, Marco Dalai:
Zero-rate reliability function for mismatched decoding. - Qian Chen, Ze Liu, Yi Zhang, Keren Fu, Qijun Zhao, Hongwei Du:
RGB-D Salient Object Detection via 3D Convolutional Neural Networks. - Ronen Tamari, Fan Bai, Alan Ritter, Gabriel Stanovsky:
Process-Level Representation of Scientific Protocols with Interactive Annotation. - Nibhrat Lohia, Raunak Mundada, Arya D. McCarthy, Eric C. Larson:
AirWare: Utilizing Embedded Audio and Infrared Signals for In-Air Hand-Gesture Recognition. - Alexander Rodríguez, Bijaya Adhikari, Naren Ramakrishnan, B. Aditya Prakash:
Incorporating Expert Guidance in Epidemic Forecasting. - Greta Laage, Emma Frejinger, William L. Hamilton, Andrea Lodi, Guillaume Rabusseau:
Estimating the Impact of an Improvement to a Revenue Management System: An Airline Application. - Gabriella Skitalinskaya, Jonas Klaff, Henning Wachsmuth:
Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale. - Daniela Mihai, Jonathon S. Hare:
The emergence of visual semantics through communication games. - Anu Jagannath, Jithin Jagannath:
Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification. - Mengbang Zou, Yu Huang, Weisi Guo:
Regions of Attraction Estimation using Level SetMethod for Complex Network System. - Phan Thi Kim Chinh, Trinh Van Chien, Tran Manh Hoang, Tien Hoa Nguyen, Van Duc Nguyen:
On the Performance of Image Recovery in Massive MIMO Communications. - Tommaso Taddei, Lei Zhang:
Registration-based model reduction in complex two-dimensional geometries. - Matthew Ehrler, Neil A. Ernst:
VConstruct: Filling Gaps in Chl-a Data Using a Variational Autoencoder. - Youssef M. Aboutaleb, Mazen Danaf, Yifei Xie, Moshe E. Ben-Akiva:
Discrete Choice Analysis with Machine Learning Capabilities. - Gokhan Altan, Yakup Kutlu:
Generative Autoencoder Kernels on Deep Learning for Brain Activity Analysis. - Gokhan Altan, Yakup Kutlu:
Superiorities of Deep Extreme Learning Machines against Convolutional Neural Networks. - Rohan Sukumaran, Parth Patwa, T. V. Sethuraman, Sheshank Shankar, Rishank Kanaparti, Joseph Bae, Yash Mathur, Abhishek Singh, Ayush Chopra, Myungsun Kang, Priya Ramaswamy, Ramesh Raskar:
COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms. - Mansoureh Maadi, Uwe Aickelin, Hadi Akbarzadeh Khorshidi:
A new interval-based aggregation approach based on bagging and Interval Agreement Approach (IAA) in ensemble learning. - Hong Sun, Kristof Depraetere, Laurent Meesseman, Jos De Roo, Martijn Vanbiervliet, Jos De Baerdemaeker, Herman Muys, Vera von Dossow, Nikolai Hulde, Ralph Szymanowsky:
A scalable approach for developing clinical risk prediction applications in different hospitals. - Grigorii Trofimiuk:
A Search Method for Large Polarization Kernels. - Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, Debasis Ganguly:
TDMSci: A Specialized Corpus for Scientific Literature Entity Tagging of Tasks Datasets and Metrics. - Michael Noukhovitch, Travis LaCroix, Angeliki Lazaridou, Aaron C. Courville:
Emergent Communication under Competition. - Madhusudan Verma:
Revisiting Linformer with a modified self-attention with linear complexity. - Mohammed Salah Al-Radhi:
High-Quality Vocoding Design with Signal Processing for Speech Synthesis and Voice Conversion. - Dongdong Wang, Shunpu Zhang, Liqiang Wang:
Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19. - Mark Neumann, Zejiang Shen, Sam Skjonsberg:
PAWLS: PDF Annotation With Labels and Structure. - Mingyu Cai, Shaoping Xiao, Zhen Kan:
Reinforcement Learning Based Temporal Logic Control with Soft Constraints Using Limit-deterministic Generalized Büchi Automata. - Marco Aurélio Gerosa, Igor Wiese, Bianca Trinkenreich, Georg Link, Gregorio Robles, Christoph Treude, Igor Steinmacher, Anita Sarma:
The Shifting Sands of Motivation: Revisiting What Drives Contributors in Open Source. - Yong-Lu Li, Xinpeng Liu, Xiaoqian Wu, Xijie Huang, Liang Xu, Cewu Lu:
Transferable Interactiveness Knowledge for Human-Object Interaction Detection. - Charlotte Roman, Michael Dennis, Andrew Critch, Stuart Russell:
Accumulating Risk Capital Through Investing in Cooperation. - Satya Narayan Shukla, Benjamin M. Marlin:
Multi-Time Attention Networks for Irregularly Sampled Time Series. - Jiaxuan You, Jonathan Gomes-Selman, Rex Ying, Jure Leskovec:
Identity-aware Graph Neural Networks. - Shuhao Xia, Yuanming Shi, Yong Zhou, Xiaojun Yuan:
Reconfigurable Intelligent Surface for Massive Connectivity. - Mauro Sebastián Innocente, Johann Sienz:
A Study of the Fundamental Parameters of Particle Swarm Optimizers. - Viet-Anh Le, Truong X. Nghiem:
A Receding Horizon Approach for Simultaneous Active Learning and Control using Gaussian Processes. - Yiming Luo, Zhenxing Mi, Wenbing Tao:
DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction. - Giovanni Interdonato, Hien Quoc Ngo, Erik G. Larsson:
Enhanced Normalized Conjugate Beamforming for Cell-Free Massive MIMO. - Gerson Portilla, Irina V. Alexandrova, Sabine Mondié:
Estimates for weighted homogeneous delay systems: A Lyapunov-Krasovskii-Razumikhin approach. - Samantha Robertson, Tonya Nguyen, Niloufar Salehi:
Modeling Assumptions Clash with the Real World: Transparency, Equity, and Community Challenges for Student Assignment Algorithms. - Ishan Tarunesh, Sushil Khyalia, Vishwajeet Kumar, Ganesh Ramakrishnan, Preethi Jyothi:
Meta-Learning for Effective Multi-task and Multilingual Modelling. - Juan Pablo Rodríguez-Gómez, Raul Tapia, Julio Lopez Paneque, Pedro Grau, Augusto Gómez Eguíluz, J. Ramiro Martinez de Dios, Aníbal Ollero:
The GRIFFIN Perception Dataset: Bridging the Gap Between Flapping-Wing Flight and Robotic Perception. - Wenjie Bai, Jeremiah Blocki:
DAHash: Distribution Aware Tuning of Password Hashing Costs. - Arman Sarjou:
The Power of Language: Understanding Sentiment Towards the Climate Emergency using Twitter Data. - Andrea Favrin, Vladislav Nenchev, Angelo Cenedese:
Learning to falsify automated driving vehicles with prior knowledge. - Petru Soviany, Radu Tudor Ionescu, Paolo Rota, Nicu Sebe:
Curriculum Learning: A Survey. - Anurag Pratik, Soumith Chintala, Kavya Srinet, Dhiraj Gandhi, Rebecca Qian, Yuxuan Sun, Ryan Drew, Sara Elkafrawy, Anoushka Tiwari, Tucker Hart, Mary Williamson, Abhinav Gupta, Arthur Szlam:
droidlet: modular, heterogenous, multi-modal agents. - Jiayi Xie, Michael Tashman, John Hoffman, Lee Winikor, Rouzbeh Gerami:
Online and Scalable Model Selection with Multi-Armed Bandits. - Michael Yue, Fatemeh Tehranipoor:
ProbLock: Probability-based Logic Locking. - Arman Sarjou:
Violent Crime in London: An Investigation using Geographically Weighted Regression. - Joeri A. Zwerts, Jelle Treep, Casper S. Kaandorp, Floor Meewis, Amparo C. Koot, Heysem Kaya:
Introducing a Central African Primate Vocalisation Dataset for Automated Species Classification. - Hyeonwoo Yu, Jean Oh:
A Missing Data Imputation Method for 3D Object Reconstruction using Multi-modal Variational Autoencoder. - Luca Ballotta, Mihailo R. Jovanovic, Luca Schenato:
Optimal Network Topology of Multi-Agent Systems subject to Computation and Communication Latency. - Hyeonwoo Yu, Jean Oh:
Anchor Distance for 3D Multi-Object Distance Estimation from 2D Single Shot. - Guoxiang Zhang, YangQuan Chen:
A metric for evaluating 3D reconstruction and mapping performance with no ground truthing. - Ernst Hairer, Christian Lubich, Yanyan Shi:
Large-stepsize integrators for charged-particle dynamics over multiple time scales. - Alëna Rodionova, Yash Vardhan Pant, Connor Kurtz, Kuk Jin Jang, Houssam Abbas, Rahul Mangharam:
Learning-'N-Flying: A Learning-based, Decentralized Mission Aware UAS Collision Avoidance Scheme. - Taha Ameen ur Rahman, Shayok Mukhopadhyay, Nasser Qaddoumi:
Computing Robust Forward Invariant Sets of Multidimensional Non-linear Systems via Geometric Deformation of Polytopes. - Bakheet Aljedaani, Aakash Ahmad, Mansooreh Zahedi, Muhammad Ali Babar:
End-Users' Knowledge and Perception about Security of Mobile Health Apps: An Empirical Study. - Dragi Kimovski, Roland Mathá, Josef Hammer, Narges Mehran, Hermann Hellwagner, Radu Prodan:
Cloud, Fog or Edge: Where to Compute? - Shibo Zhou, Yu Pan:
Spectrum Attention Mechanism for Time Series Classification. - Daria Dzendzik, Carl Vogel, Jennifer Foster:
English Machine Reading Comprehension Datasets: A Survey. - Zheda Mai, Ruiwen Li, Jihwan Jeong, David Quispe, Hyunwoo Kim, Scott Sanner:
Online Continual Learning in Image Classification: An Empirical Survey. - Liu Cao, Hao Yin:
Resource Allocation for Vehicle Platooning in 5G NR-V2X via Deep Reinforcement Learning. - Thilo Moshagen, Nihal Acharya Adde, Ajay Navilarekal Rajgopal:
Finding hidden-feature depending laws inside a data set and classifying it using Neural Network. - Erin Lanus, Ivan Hernandez, Adam Dachowicz, Laura J. Freeman, Melanie Grande, Andrew Lang, Jitesh H. Panchal, Anthony Patrick, Scott Welch:
Test and Evaluation Framework for Multi-Agent Systems of Autonomous Intelligent Agents. - Manuel Widmoser, Maria Leonor Pacheco, Jean Honorio, Dan Goldwasser:
Randomized Deep Structured Prediction for Discourse-Level Processing. - Zhijia Huang, Dong Zhang, Luis D. Couto, Quan-Hong Yang, Scott J. Moura:
State Estimation for a Zero-Dimensional Electrochemical Model of Lithium-Sulfur Batteries. - Jun Zhu, Ye Chen, Frank Brinker, Winfried Decking, Sergey Tomin, Holger Schlarb:
Deep Learning-Based Autoencoder for Data-Driven Modeling of an RF Photoinjector. - Jyh-Ming Lien, Samuel Rodríguez, Marco Morales:
Persistent Covering of a Graph under Latency and Energy Constraints. - Ju Liu, Marcos Latorre:
A continuum and computational framework for viscoelastodynamics: finite deformation linear model. - David F. Fletcher, Vishal Chaugule, Larissa Gomes dos Reis, Paul M. Young, Daniela Traini, Julio Soria:
On the Use of Computational Fluid Dynamics (CFD) Modelling to Design Improved Dry Powder Inhalers. - Manaswini Piduguralla, Jignesh S. Bhatt:
Towards glass-box CNNs. - Baohua Sun, Weixiong Lin, Hao Sha, Jiapeng Su:
GnetSeg: Semantic Segmentation Model Optimized on a 224mW CNN Accelerator Chip at the Speed of 318FPS. - Safa Ayadi, Ahmed Ben Said, Rateb Jabbar, Chafik Aloulou, Achraf Chabbouh, Ahmed Ben Achballah:
Dairy Cow rumination detection: A deep learning approach. - Seungmo Kim, Byung-Jun Kim, B. Brian Park:
Environment-Adaptive Multiple Access for Distributed V2X Network: A Reinforcement Learning Framework. - Alan Ansell, Felipe Bravo-Marquez, Bernhard Pfahringer:
PolyLM: Learning about Polysemy through Language Modeling. - Pranjay Shyam, Kuk-Jin Yoon, Kyung-Soo Kim:
Towards Domain Invariant Single Image Dehazing. - Enkhtogtokh Togootogtokh, Christian Klasen:
LAIF: AI, Deep Learning for Germany Suetterlin Letter Recognition and Generation. - Vanlin Sathya:
Evolution of Small Cell from 4G to 6G: Past, Present, and Future. - Renya Daimo, Satoshi Ono, Takahiro Suzuki:
Black-box Adversarial Attacks on Monocular Depth Estimation Using Evolutionary Multi-objective Optimization. - Abhilash Singh, Sandeep Sharma, Jitendra Singh:
Nature-Inspired Algorithms for Wireless Sensor Networks: A Comprehensive Survey. - Aksh Garg:
Machine Learning Coupled Trajectory and Communication Design for UAV-Facilitated Wireless Networks. - Trung-Kien Le, Umer Salim, Florian Kaltenberger:
Frame based equipment channel access enhancements in NR unlicensed spectrum for URLLC transmissions. - Ali Hadian, Thomas Heinis:
Shift-Table: A Low-latency Learned Index for Range Queries using Model Correction. - Nam Nguyen, Brian Quanz:
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting. - Anthony C. Constantinou, Norman E. Fenton, Martin Neil:
How do some Bayesian Network machine learned graphs compare to causal knowledge? - An Zou, Jing Li, Christopher D. Gill, Xuan Zhang:
RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization. - Mirko Zichichi, Stefano Ferretti, Gabriele D'Angelo, Víctor Rodríguez-Doncel:
Personal Data Access Control Through Distributed Authorization. - Abdelkareem Jaradat, Hanan Lutfiyya, Anwar Haque:
Appliance Operation Modes Identification Using Cycles Clustering. - Kazuhiro Kurita, Kunihiro Wasa:
Constant Amortized Time Enumeration of Eulerian trails. - Teryl Taylor, Frederico Araujo, Xiaokui Shu:
Towards an Open Format for Scalable System Telemetry. - Tristan Montoya, David W. Zingg:
A unifying algebraic framework for discontinuous Galerkin and flux reconstruction methods based on the summation-by-parts property. - Swaraj Dash, Sam Staton:
A Monad for Probabilistic Point Processes. 19-32 - Toby St Clere Smithe:
Cyber Kittens, or Some First Steps Towards Categorical Cybernetics. 108-124 - Georgios Bakirtzis, Christina Vasilakopoulou, Cody H. Fleming:
Compositional Cyber-Physical Systems Modeling. 125-138 - Gioele Zardini, David I. Spivak, Andrea Censi, Emilio Frazzoli:
A Compositional Sheaf-Theoretic Framework for Event-Based Systems. 139-153 - Lachlan McPheat, Mehrnoosh Sadrzadeh, Hadi Wazni, Gijs Wijnholds:
Categorical Vector Space Semantics for Lambek Calculus with a Relevant Modality (Extended Abstract). 168-182 - Tarmo Uustalu, Niccolò Veltri, Noam Zeilberger:
Proof Theory of Partially Normal Skew Monoidal Categories. 230-246 - Paul W. Wilson, Fabio Zanasi:
Reverse Derivative Ascent: A Categorical Approach to Learning Boolean Circuits. 247-260 - Brendan Fong, David Jaz Myers, David I. Spivak:
Behavioral Mereology: A Modal Logic for Passing Constraints. 276-288 - Dayu Zhu, Wenshan Cai:
Real-time Non-line-of-sight Imaging with Two-step Deep Remapping. - Luigi Santocanale:
Dualizing sup-preserving endomaps of a complete lattice. 335-346 - Richard Statman:
Products in a Category with Only One Object. 347-353 - Jayam Patel, Tyagaraja Ramaswamy, Zhi Li, Carlo Pinciroli:
Transparency in Multi-Human Multi-Robot Interaction. - Lane Schwartz, Emily Chen, Hyunji Hayley Park, Edward Jahn, Sylvia L. R. Schreiner:
A Digital Corpus of St. Lawrence Island Yupik. - Yaoyu Tao, Zhengya Zhang:
DNC-Aided SCL-Flip Decoding of Polar Codes. - Viet-Anh Le, Linh V. Nguyen, Truong X. Nghiem:
ADMM-based Adaptive Sampling Strategy for Nonholonomic Mobile Robotic Sensor Networks. - Wilson Estécio Marcílio-Jr, Danilo Medeiros Eler, Fabricio A. Breve:
Model-agnostic interpretation by visualization of feature perturbations. - Mathew Schwartz:
Human Centric Accessibility Graph For Environment Analysis. - Ming Zhao, Peter Anderson, Vihan Jain, Su Wang, Alexander Ku, Jason Baldridge, Eugene Ie:
On the Evaluation of Vision-and-Language Navigation Instructions. - Sajad Khodadadian, Thinh T. Doan, Siva Theja Maguluri, Justin Romberg:
Finite Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm. - Ali Ayub, Alan R. Wagner:
Continual Learning of Visual Concepts for Robots through Limited Supervision. - Mike Zheng Shou, Deepti Ghadiyaram, Weiyao Wang, Matt Feiszli:
Generic Event Boundary Detection: A Benchmark for Event Segmentation. - Vishal Kaushal, Suraj Kothawade, Anshul Tomar, Rishabh K. Iyer, Ganesh Ramakrishnan:
How Good is a Video Summary? A New Benchmarking Dataset and Evaluation Framework Towards Realistic Video Summarization. - Shota Yumiki, Yoshihiko Susuki, Yuta Oshikubo, Yutaka Ota, Ryo Masegi, Akihiko Kawashima, Atsushi Ishigame, Shinkichi Inagaki, Tatsuya Suzuki:
Autonomous Vehicle-to-Grid Design for Provision of Frequency Control Ancillary Service and Distribution Voltage Regulation. - Haotian Chi, Qiang Zeng, Xiaojiang Du, Lannan Luo:
PFirewall: Semantics-Aware Customizable Data Flow Control for Smart Home Privacy Protection. - Shen Zheng:
Study of Graph Theory, Distributed Average Consensus Algorithm and Centralized Algorithm. - Arash Einolghozati, Abhinav Arora, Lorena Sainz-Maza Lecanda, Anuj Kumar, Sonal Gupta:
El Volumen Louder Por Favor: Code-switching in Task-oriented Semantic Parsing. - Delu Zeng, Minyu Liao, Mohammad Tavakolian, Yulan Guo, Bolei Zhou, Dewen Hu, Matti Pietikäinen, Li Liu:
Deep Learning for Scene Classification: A Survey. - Muhammad Ahmad, Sidrah Shabbir, Rana Aamir Raza, Manuel Mazzara, Salvatore Distefano, Adil Mehmood Khan:
Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNN. - Chirag Gupta:
Modern Machine and Deep Learning Systems as a way to achieve Man-Computer Symbiosis. - Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng:
Towards Entity Alignment in the Open World: An Unsupervised Approach. - Joseph Marvin Imperial, Ethel Ong:
Application of Lexical Features Towards Improvement of Filipino Readability Identification of Children's Literature. - Mohammed Mustafa, Taysir Hassan A. Soliman, Ahmed Ibrahim Taloba, Mohammed Fawzi Seedik:
Arabic aspect based sentiment analysis using bidirectional GRU based models. - Nikolaos Athanasios Anagnostopoulos:
Ear Recognition. - Haode Yan:
On -1-differential uniformity of ternary APN power functions. - Ritam Dutt, Sayan Sinha, Rishabh Joshi, Surya Shekhar Chakraborty, Meredith Riggs, Xinru Yan, Haogang Bao, Carolyn Penstein Rosé:
RESPER: Computationally Modelling Resisting Strategies in Persuasive Conversations. - Shaokang Hu, Zhiqiang Wei, Yuanxin Cai, Chang Liu, Derrick Wing Kwan Ng, Jinhong Yuan:
Robust and Secure Sum-Rate Maximization for Multiuser MISO Downlink Systems with Self-sustainable IRS. - Ni Ding, Mohammad Amin Zarrabian, Parastoo Sadeghi:
α-Information-theoretic Privacy Watchdog and Optimal Privatization Scheme. - Thomas Gebhart, Udit Saxena, Paul Schrater:
A Unified Paths Perspective for Pruning at Initialization. - Zijiang Yang, Dipendra Jha, Arindam Paul, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design. - Wenliang Qian, Yang Xu, Wangmeng Zuo, Hui Li:
Self Sparse Generative Adversarial Networks. - Xianchao Wang, Yukun Guo, Sara Bousba:
Direct imaging for the moment tensor point sources of elastic waves. - Zohre Ranjbar-Mojaveri, Andras Farago:
Routing Packet Traffic via Enhanced Access Control List for Network Congestion Avoidance. - Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve:
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. - Katharina Kann, Mauro M. Monsalve-Mercado:
Coloring the Black Box: What Synesthesia Tells Us about Character Embeddings. - Bin Jiang, Jianqiang Li, Guanghui Yue, Houbing Song:
Differential Privacy for Industrial Internet of Things: Opportunities, Applications and Challenges. - Charalambos Konstantinou:
Towards a Secure and Resilient All-Renewable Energy Grid for Smart Cities. - Shuaicheng Ma, Yang Cao, Li Xiong:
Transparent Contribution Evaluation for Secure Federated Learning on Blockchain. - Vicky Zayats, Kristina Toutanova, Mari Ostendorf:
Representations for Question Answering from Documents with Tables and Text. - Alexander Zlotnik, Raimondas Ciegis:
On Properties of Compact 4th order Finite-Difference Schemes for the Variable Coefficient Wave Equation. - Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B. S. Manjunath:
Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning. - Kuan-Hao Huang, Kai-Wei Chang:
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs. - Zhonghao Shi, Thomas R. Groechel, Shomik Jain, Kourtney Chima, Ognjen Rudovic, Maja J. Mataric:
Toward Personalized Affect-Aware Socially Assistive Robot Tutors in Long-Term Interventions for Children with Autism. - Masum Hasan, Anindya Iqbal, Mohammad Rafid Ul Islam, A. J. M. Imtiajur Rahman, Amiangshu Bosu:
Using a Balanced Scorecard to Identify Opportunities to Improve Code Review Effectiveness: An Industrial Experience Report. - Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau:
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models. - Sunil Mohan, Rico Angell, Nicholas Monath, Andrew McCallum:
Low Resource Recognition and Linking of Biomedical Concepts from a Large Ontology. - Julian Esser, Shivesh Kumar, Heiner Peters, Vinzenz Bargsten, Jose de Gea Fernandez, Carlos Mastalli, Olivier Stasse, Frank Kirchner:
Design, analysis and control of the series-parallel hybrid RH5 humanoid robot. - Pei Lv, Hui Wei, Tianxin Gu, Yuzhen Zhang, Xiaoheng Jiang, Bing Zhou, Mingliang Xu:
Probability Trajectory: One New Movement Description for Trajectory Prediction. - Shengchen Zhang, Zixuan Wang, Chaoran Chen, Yi Dai, Lyumanshan Ye, Xiaohua Sun:
Patterns for Representing Knowledge Graphs to Communicate Situational Knowledge of Service Robots. - Soramichi Akiyama, Ryota Shioya:
The Granularity Gap Problem: A Hurdle for Applying Approximate Memory to Complex Data Layout. - Liang Lin, Yiming Gao, Ke Gong, Meng Wang, Xiaodan Liang:
Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer. - Ningchen Ying, Tsz Wai Wu:
xLumi: Payment Channel Protocol and Off-chain Payment in Blockchain Contract Systems. - Jakub Klus, Pavel Grunt, Martin Dobrovolny:
Hyper-optimization with Gaussian Process and Differential Evolution Algorithm. - Maryam Sharifi:
Robust Finite-Time Consensus Subject to Unknown Communication Time Delays Based on Delay-Dependent Criteria. - Eufemia Lella, Gennaro Vessio:
Ensembling complex network 'perspectives' for mild cognitive impairment detection with artificial neural networks. - Amina Bassit, Florian Hahn, Joep Peeters, Tom Kevenaar, Raymond N. J. Veldhuis, Andreas Peter:
Biometric Verification Secure Against Malicious Adversaries. - Frederik Hauser, Marco Häberle, Daniel Merling, Steffen Lindner, Vladimir Gurevich, Florian Zeiger, Reinhard Frank, Michael Menth:
A Survey on Data Plane Programming with P4: Fundamentals, Advances, and Applied Research. - Jiequan Cui, Shu Liu, Zhuotao Tian, Zhisheng Zhong, Jiaya Jia:
ResLT: Residual Learning for Long-tailed Recognition. - Danny Vainstein, Vaggos Chatziafratis, Gui Citovsky, Anand Rajagopalan, Mohammad Mahdian, Yossi Azar:
Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering. - Hyunjin Choi, Judong Kim, Seongho Joe, Youngjune Gwon:
Evaluation of BERT and ALBERT Sentence Embedding Performance on Downstream NLP Tasks. - Marcin Waniek, Jan Woznica, Kai Zhou, Yevgeniy Vorobeychik, Talal Rahwan, Tomasz P. Michalak:
Strategic Evasion of Centrality Measures. - Hyunjin Choi, Judong Kim, Seongho Joe, Seungjai Min, Youngjune Gwon:
Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks. - Raoul Blin:
Neural machine translation, corpus and frugality. - Weizhu Qian, Franck Gechter:
Variational Information Bottleneck Model for Accurate Indoor Position Recognition. - Yasir Mahmood, Nazri Kama, Azri Azmi, Ahmad Salman Khan, Mazlan Ali:
Software Effort Estimation Accuracy Prediction of Machine Learning Techniques: A Systematic Performance Evaluation. - Jiajun Zhan, Liuqiang Zhong, Jie Peng:
Discontinuous Galerkin methods for semilinear elliptic boundary value problem. - Tobias Joppen, Johannes Fürnkranz:
Ordinal Monte Carlo Tree Search. - Seyed Shahabaldin Tohidi, Yildiray Yildiz:
Discrete Adaptive Control Allocation. - Reza Rafie Borujeny, Frank R. Kschischang:
Channel Matching: An Adaptive Technique to Increase the Accuracy of Soft Decisions. - Stephan Wiefling, Markus Dürmuth, Luigi Lo Iacono:
What's in Score for Website Users: A Data-driven Long-term Study on Risk-based Authentication Characteristics. - Léonard Brice, Jean-François Raskin, Marie van den Bogaard:
Subgame-perfect Equilibria in Mean-payoff Games. - Xu Yang, Jiaqi Yan, Yilin Mo, Keyou You:
A Distributed Implementation of Steady-State Kalman Filter. - Yaxiong Wang, Yunchao Wei, Xueming Qian, Li Zhu, Yi Yang:
AINet: Association Implantation for Superpixel Segmentation. - Jossekin Beilharz, Philipp Wiesner, Arne Boockmeyer, Florian Brokhausen, Ilja Behnke, Robert Schmid, Lukas Pirl, Lauritz Thamsen:
Towards a Staging Environment for the Internet of Things. - Paolo Avogadro, Matteo Alessandro Dominoni:
A fast algorithm for complex discord searches in time series: HOT SAX Time. - Qinwei Lin, Chao Li, Xifeng Zhao, Xianhai Chen:
Measuring Decentralization in Bitcoin and Ethereum using Multiple Metrics and Granularities. - Jun Xu, Xiaodong Wang, Pengcheng Zhu, Xiaohu You:
Privacy-preserving Channel Estimation in Cell-free Hybrid Massive MIMO Systems. - Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis:
The Pixels and Sounds of Emotion: General-Purpose Representations of Arousal in Games. - Geunsik Lim, Changwoo Min, Young Ik Eom:
Enhancing Application Performance by Memory Partitioning in Android Platforms. - Zhuang Li, Lizhen Qu, Shuo Huang, Gholamreza Haffari:
Few-Shot Semantic Parsing for New Predicates. - Satya M. Muddamsetty, Mohammad N. S. Jahromi, Andreea E. Ciontos, Laura M. Fenoy, Thomas B. Moeslund:
Introducing and assessing the explainable AI (XAI)method: SIDU. - Hitomi Yanaka, Koji Mineshima, Kentaro Inui:
Exploring Transitivity in Neural NLI Models through Veridicality. - Yi Zhu, Ehsan Shareghi, Yingzhen Li, Roi Reichart, Anna Korhonen:
Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification. - Harold Pancho Eliott, Martin Berger:
A program logic for fresh name generation. - Víctor Gallego, Roi Naveiro, David Ríos Insua, Wolfram Rozas:
Data sharing games. - Antonio Leitão, M. Marques Alves:
On level set type methods for elliptic Cauchy problems. - Ilias Chalkidis, Manos Fergadiotis, Nikolaos Manginas, Eva Katakalou, Prodromos Malakasiotis:
Regulatory Compliance through Doc2Doc Information Retrieval: A case study in EU/UK legislation where text similarity has limitations. - Hyoungsung Kim, Jehyuk Jang, Sangjun Park, Heung-No Lee:
Ethereum ECCPoW. - Kerem Ciftci, Klaus Hackl:
Data-Driven simulation of inelastic materials using structured data sets, tangent space information and transition rules. - Yan Wang, Feng Qing, Jianping Chai, Yepeng Ni:
Spreading dynamics of a 2SIH2R, rumor spreading model in the homogeneous network. - Mohamed Dahy Elkhouly, Alessio Del Bue, Stuart James:
Consistent Mesh Colors for Multi-View Reconstructed 3D Scenes. - Hui Zhou, Fenghe Hu, Michal Juras, Asish B. Mehta, Yansha Deng:
Real-time Video Streaming and Control of Cellular-Connected UAV System. - Anastasiia Kornilova, Lucas Bernardi:
Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation Rentals. - Rajesh Chitnis:
A Tight Lower Bound for Edge-Disjoint Paths on Planar DAGs. - Eduardo Gallo:
Quasi Static Atmospheric Model for Aircraft Trajectory Prediction and Flight Simulation. - Maryam Farahnak-Ghazani, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari:
Interference Alignment Using Reaction in Molecular Interference Channels. - Mazen Abdelfattah, Kaiwen Yuan, Z. Jane Wang, Rabab Ward:
Towards Universal Physical Attacks On Cascaded Camera-Lidar 3D Object Detection Models. - Zainab R. Zaidi, Hazer Inaltekin, Jamie S. Evans:
Separation of Control and Data Transmissions in 5G Networks may not be Beneficial. - Yazan H. Al-Badarneh, Ahmed Elzanaty, Mohamed-Slim Alouini:
On the Performance of Spectrum Sharing Backscatter Communication Systems. - Dinesh Kumar Sah, Praveen Kumar Donta, Tarachand Amgoth:
EDGF: Empirical dataset generation framework for wireless network networks. - Xutan Peng, Yi Zheng, Chenghua Lin, Advaith Siddharthan:
Summarising Historical Text in Modern Languages. - Xiangyu Xu, Muchen Li, Wenxiu Sun, Ming-Hsuan Yang:
Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising. - Ahmed M. Abdelmoniem, Ahmed Elzanaty, Mohamed-Slim Alouini, Marco Canini:
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems. - Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe:
Benchmarking Invertible Architectures on Inverse Problems. - Jannik Fischbach, Julian Frattini, Arjen Spaans, Maximilian Kummeth, Andreas Vogelsang, Daniel Méndez, Michael Unterkalmsteiner:
Automatic Detection of Causality in Requirement Artifacts: the CiRA Approach. - Mohamed Dahy Elkhouly, Theodore Tsesmelis, Alessio Del Bue, Stuart James:
LIGHTS: LIGHT Specularity Dataset for specular detection in Multi-view. - Fabian Herzog, Xunbo Ji, Torben Teepe, Stefan Hörmann, Johannes Gilg, Gerhard Rigoll:
Lightweight Multi-Branch Network for Person Re-Identification. - Andrea Cavagna, Xiao Feng, Stefania Melillo, Leonardo Parisi, Lorena Postiglione, Pablo Villegas:
CoMo: A novel co-moving 3D camera system. - Josip Saric, Sacha Vrazic, Sinisa Segvic:
Joint Forecasting of Features and Feature Motion for Dense Semantic Future Prediction. - Alessandro Balestrucci, Rocco De Nicola, Marinella Petrocchi, Catia Trubiani:
A Behavioural Analysis of Credulous Twitter Users. - Yingxia Xi, Xia Ji, Shuo Zhang:
A simple low-degree optimal finite element scheme for the elastic transmission eigenvalue problem. - Alexander Berndt, Amr Alanwar, Karl Henrik Johansson, Henrik Sandberg:
Data-Driven Set-Based Estimation using Matrix Zonotopes with Set Containment Guarantees. - Marc Franzen, Michael Stephan Gresser, Tobias Müller, Sebastian Mauser:
Developing emotion recognition for video conference software to support people with autism. - Simon Meyer Lauritsen, Bo Thiesson, Marianne Johansson Jørgensen, Anders Hammerich Riis, Ulrick Skipper Espelund, Jesper Bo Weile, Jeppe Lange:
The Consequences of the Framing of Machine Learning Risk Prediction Models: Evaluation of Sepsis in General Wards. - Nicolas M. Müller, Konstantin Böttinger:
Adversarial Vulnerability of Active Transfer Learning. - Pengpeng Yang, Daniele Baracchi, Massimo Iuliani, Dasara Shullani, Rongrong Ni, Yao Zhao, Alessandro Piva:
Efficient video integrity analysis through container characterization. - Yunfan Zhang, Feng Liu, Zhaojian Wang, Yifan Su, Shengwei Mei:
Robust Scheduling of Virtual Power Plant under Exogenous and Endogenous Uncertainties. - Sihan Chen, Xinxin Zhu, Wei Liu, Xingjian He, Jing Liu:
Global-Local Propagation Network for RGB-D Semantic Segmentation. - Sangho Lee, Jiwan Chung, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Gal Chechik, Yale Song:
Automatic Curation of Large-Scale Datasets for Audio-Visual Representation Learning. - Wei Liu, Sihan Chen, Longteng Guo, Xinxin Zhu, Jing Liu:
CPTR: Full Transformer Network for Image Captioning. - Anthony Bourached, George Cann, Ryan-Rhys Griffiths, David G. Stork:
Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars. - Kostiantyn Khabarlak, Larysa Koriashkina:
Fast Facial Landmark Detection and Applications: A Survey. - Nuredin Ali:
Exploring Transfer Learning on Face Recognition of Dark Skinned, Low Quality and Low Resource Face Data. - Ju He, Enyu Zhou, Liusheng Sun, Fei Lei, Chenyang Liu, Wenxiu Sun:
Semi-synthesis: A fast way to produce effective datasets for stereo matching. - Yasameen Sajid Razooki, Muntasir Al-Asfoor:
Intelligent Routing to Enhance Energy Consumption in Wireless Sensor Network: A survey. - Stephanie Rosenthal, Elizabeth J. Carter:
Impact of Explanation on Trust of a Novel Mobile Robot. - Steven Platt:
Application Layer Modeling in Vehicle Networks: Cooperative Maneuver Use Case. - Syed Mohsan Raza:
Reliability Aware Multiple Path Installation in Software Defined Networking. - Wenxuan Mou, Martina Ruocco, Debora Zanatto, Angelo Cangelosi:
When Would You Trust a Robot? A Study on Trust and Theory of Mind in Human-Robot Interactions. - Mirko Trisolini, Camilla Colombo:
Propagation and reconstruction of re-entry uncertainties using continuity equation and simplicial interpolation. - Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang:
Revisiting Locally Supervised Learning: an Alternative to End-to-end Training. - Amr E. Hilal, Ismail Arai, Samy El-Tawab:
DataLoc+: A Data Augmentation Technique for Machine Learning in Room-Level Indoor Localization. - Haim Kaplan, Yishay Mansour, Kobbi Nissim, Uri Stemmer:
Separating Adaptive Streaming from Oblivious Streaming. - Venkata Satya Sai Ajay Daliparthi:
Ikshana: A Theory of Human Scene Understanding Mechanism. - Ahmed Hamdy, Ahmed Elsherif, Saiid Shebl:
Three-Dimensional Investigation of the Metric Properties of Parabolic Double Projection Involving Catadioptric Camera. - Seung Park, Yoon-Jae Yeo, Yong-Goo Shin:
Generative Adversarial Network using Perturbed-Convolutions. - Masato Ishii, Masashi Sugiyama:
Source-free Domain Adaptation via Distributional Alignment by Matching Batch Normalization Statistics. - Zhuoman Liu, Wei Jia, Ming Yang, Peiyao Luo, Yong Guo, Mingkui Tan:
Deep View Synthesis via Self-Consistent Generative Network. - Angelo G. Menezes:
Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face Recognition. - Veysel Kocaman, David Talby:
Spark NLP: Natural Language Understanding at Scale. - Lei Zhang, Hao Xu, Oluwakayode Onireti, Muhammad Ali Imran, Bin Cao:
How Much Communication Resource is Needed to Run a Wireless Blockchain Network? - Hao Xu, Lei Zhang, Elaine Sun, Chih-Lin I:
BE-RAN: Blockchain-enabled RAN with Decentralized Identity Management and Privacy-Preserving Communication. - Vinayak Elangovan:
Indoor Group Activity Recognition using Multi-Layered HMMs. - Lucas Prado Osco, José Marcato Junior, Ana Paula Marques Ramos, Lúcio André de Castro Jorge, Sarah Narges Fatholahi, Jonathan de Andrade Silva, Edson Takashi Matsubara, Hemerson Pistori, Wesley Nunes Gonçalves, Jonathan Li:
A Review on Deep Learning in UAV Remote Sensing. - Christian M. Dahl, Torben Johansen, Emil N. Sørensen, Simon Wittrock:
HANA: A HAndwritten NAme Database for Offline Handwritten Text Recognition. - Jonathan M. Spring, April Galyardt, Allen D. Householder, Nathan M. VanHoudnos:
On managing vulnerabilities in AI/ML systems. - Jiaqi Wang:
An In-depth Review of Privacy Concerns Raised by the COVID-19 Pandemic. - Jan Verschelde:
Accelerated Polynomial Evaluation and Differentiation at Power Series in Multiple Double Precision. - Siqi Liu, Sidhanth Mohanty, Prasad Raghavendra:
Computational phase transitions in sparse planted problems? - Daniel S. Katz, Morane Gruenpeter, Tom Honeyman, Lorraine J. Hwang, Mark D. Wilkinson, Vanessa V. Sochat, Hartwig Anzt, Carole A. Goble:
A Fresh Look at FAIR for Research Software. - Markus L. Schmid, Nicole Schweikardt:
Spanner Evaluation over SLP-Compressed Documents. - Gonçalo Cunha, Pedro Vicente, Alexandre Bernardino, Ricardo A. Ribeiro, Plinio Moreno:
Online Body Schema Adaptation through Cost-Sensitive Active Learning. - Raisa Dzhamtyrova, Carsten Maple:
Dynamic cyber risk estimation with Competitive Quantile Autoregression. - Thamar Solorio, Mahsa Shafaei, Christos Smailis, Mona T. Diab, Theodore Giannakopoulos, Heng Ji, Yang Liu, Rada Mihalcea, Smaranda Muresan, Ioannis A. Kakadiaris:
White Paper: Challenges and Considerations for the Creation of a Large Labelled Repository of Online Videos with Questionable Content. - Yunxiang Zhao, Qiuhong Ke, Flip Korn, Jianzhong Qi, Rui Zhang:
HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks. - Ying Cao, Bo Sun, Danny H. K. Tsang:
Online Network Utility Maximization: Algorithm, Competitive Analysis, and Applications. - Mauro Sebastián Innocente:
Population-Based Methods: Particle Swarm Optimization - Development of a General-Purpose Optimizer and Applications. - Ranwa Al Mallah, David López, Bilal Farooq:
Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation. - Martin Aumüller, Sariel Har-Peled, Sepideh Mahabadi, Rasmus Pagh, Francesco Silvestri:
Sampling a Near Neighbor in High Dimensions - Who is the Fairest of Them All? - Henk F. Moed, Félix de Moya-Anegón, Vicente P. Guerrero-Bote, Carmen López-Illescas, Myroslava Hladchenko:
Bibliometric assessment of national scientific journals. - Stephen Wolfram:
Exploring Rulial Space: The Case of Turing Machines. - Andreas Otte, Jens Staub, Jonas Vogt, Horst Wieker:
Cloud-based traffic data fusion for situation evaluation of handover scenarios. - Min Yan, Guoshan Zhang, Tong Zhang, Yueming Zhang:
Nondiscriminatory Treatment: a straightforward framework for multi-human parsing. - Stefano Della Fiore, Simone Costa, Marco Dalai:
New upper bounds for (b, k)-hashing. - Christine de Kock, Andreas Vlachos:
I Beg to Differ: A study of constructive disagreement in online conversations. - Nguyen Truong, Gyu Myoung Lee, Kai Sun, Florian Guitton, Yike Guo:
A Blockchain-based Trust System for Decentralised Applications: When trustless needs trust. - Sunil Kumar Singh, Sumit Kumar:
Blockchain Technology: Introduction, Integration and Security Issues with IoT. - Vinit Ravishankar, Artur Kulmizev, Mostafa Abdou, Anders Søgaard, Joakim Nivre:
Attention Can Reflect Syntactic Structure (If You Let It). - Mauro Sebastián Innocente, Johann Sienz:
Constraint-Handling Techniques for Particle Swarm Optimization Algorithms. - Mauro Sebastián Innocente, Johann Sienz:
Numerical Comparison of Neighbourhood Topologies in Particle Swarm Optimization. - Carwyn Pelley, Mauro Sebastián Innocente, Johann Sienz:
Combining Particle Swarm Optimizer with SQP Local Search for Constrained Optimization Problems. - Marc-André Zöller, Tien-Dung Nguyen, Marco F. Huber:
Incremental Search Space Construction for Machine Learning Pipeline Synthesis. - Debanjan Ghosh, Ritvik Shrivastava, Smaranda Muresan:
"Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement Space. - Iman Vakilinia, Peyman Faizian, Mohammad Mahdi Khalili:
RewardRating: A Mechanism Design Approach to Improve Rating Systems. - Zhengzhong Tu, Xiangxu Yu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik:
RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content. - Roberto Piersanti, Pasquale Claudio Africa, Marco Fedele, Christian Vergara, Luca Dedè, Antonio F. Corno, Alfio Quarteroni:
Modeling cardiac muscle fibers in ventricular and atrial electrophysiology simulations. - Matteo Trobinger, Gabriel de Albuquerque Gleizer, Timofei Istomin, Manuel Mazo Jr., Amy L. Murphy, Gian Pietro Picco:
The Wireless Control Bus: Enabling Efficient Multi-hop Event-Triggered Control with Concurrent Transmissions. - Oren Neumann, Claudius Gros:
Investment vs. reward in a competitive knapsack problem. - Benjamin W. Campbell, Keith Warren:
Social Network Conceptualization and Operationalization of Hierarchy Within Therapeutic Communities. - Maurício Gruppi, Benjamin D. Horne, Sibel Adali:
Tell Me Who Your Friends Are: Using Content Sharing Behavior for News Source Veracity Detection. - Aybike Simsek:
Lexical Sorting Centrality to Distinguish Spreading Abilities of Nodes in Complex Networks under the Susceptible-Infectious-Recovered (SIR) Model. - Lukas Brunke, Prateek Agrawal, Nikhil George:
Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison. - Pan Zhang, Bo Zhang, Ting Zhang, Dong Chen, Yong Wang, Fang Wen:
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation. - Karthigan Sinnathamby, Chang-Yu Hou, Lalitha Venkataramanan, Vasileios-Marios Gkortsas, François Fleuret:
Unsupervised clustering of series using dynamic programming and neural processes. - Péter E. Frenkel:
Classical simulations of communication channels. - Towaki Takikawa, Joey Litalien, Kangxue Yin, Karsten Kreis, Charles T. Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, Sanja Fidler:
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes. - Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Deep Burst Super-Resolution. - Hyun-Suk Lee, Cong Shen, William R. Zame, Jang-Won Lee, Mihaela van der Schaar:
SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups. - Amanuel Awoke, Hugo Burbelo, Elizabeth Childs, Ferzam Mohammad, Logan Stevens, Nicholas Rewkowski, Dinesh Manocha:
An Overview of Enhancing Distance Learning Through Augmented and Virtual Reality Technologies. - Evan R. M. Debenham, Roberto Solis-Oba:
New Algorithms for Computing Field of Vision over 2D Grids. - Steven Golovkine:
FDApy: a Python package for functional data. - Molei Tao, Shi Jin:
Accurate and Efficient Simulations of Hamiltonian Mechanical Systems with Discontinuous Potentials. - Taro Sakurai:
On formal concepts of random formal contexts. - Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
Average Localised Proximity: a new data descriptor with good default one-class classification performance. - Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta:
Muppet: Massive Multi-task Representations with Pre-Finetuning. - Zhiyi Ma, Sergey Edunov, Michael Auli:
A Comparison of Approaches to Document-level Machine Translation. - Isabel Papadimitriou, Ethan A. Chi, Richard Futrell, Kyle Mahowald:
Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT. - Guei-Yuan Lueh, Kaiyu Chen, Gang Chen, Joel Fuentes, Wei-Yu Chen, Fangwen Fu, Hong Jiang, Hongzheng Li, Daniel Rhee:
C-for-Metal: High Performance SIMD Programming on Intel GPUs. - Niklas Ueter, Mario Günzel, Jian-Jia Chen:
Response-Time Analysis and Optimization for Probabilistic Conditional Parallel DAG Tasks. - Gabrielle Benabdallah, Samuelle Bourgault, Nadya Peek, Jennifer Jacobs:
Remote Learners, Home Makers: How Digital Fabrication Was Taught Online During a Pandemic. - Orchid Majumder, Avinash Ravichandran, Subhransu Maji, Marzia Polito, Rahul Bhotika, Stefano Soatto:
Revisiting Contrastive Learning for Few-Shot Classification. - Kailash Karthik Saravanakumar, Miguel Ballesteros, Muthu Kumar Chandrasekaran, Kathleen R. McKeown:
Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings. - Xinwei Zhao, Matthew C. Stamm:
Defenses Against Multi-Sticker Physical Domain Attacks on Classifiers. - Levon Aslanyan, V. Krasnoproshin, V. Ryazanov, Hasmik Sahakyan:
Logical-Combinatorial Approaches in Dynamic Recognition Problems. - Zhaoheng Li, Xinyu Pi, Mingyuan Wu, Hanghang Tong:
REFORM: Fast and Adaptive Solution for Subteam Replacement. - William H. Guss, Mario Ynocente Castro, Sam Devlin, Brandon Houghton, Noboru Sean Kuno, Crissman Loomis, Stephanie Milani, Sharada P. Mohanty, Keisuke Nakata, Ruslan Salakhutdinov, John Schulman, Shinya Shiroshita, Nicholay Topin, Avinash Ummadisingu, Oriol Vinyals:
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors. - Melissa Chase, Esha Ghosh, Saeed Mahloujifar:
Property Inference From Poisoning. - Najiya Fatma, Varun Ramamohan:
Patient Diversion Across Primary Health Centers Using Real Time Delay Predictors. - Aaron Defazio, Samy Jelassi:
Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization. - Peng Zhou, Ning Yu, Zuxuan Wu, Larry S. Davis, Abhinav Shrivastava, Ser-Nam Lim:
Deep Video Inpainting Detection. - Xinwei Zhao, Matthew C. Stamm:
The Effect of Class Definitions on the Transferability of Adversarial Attacks Against Forensic CNNs. - Hassan Muhammad, Chensu Xie, Carlie S. Sigel, Michael Doukas, Lindsay Alpert, Thomas J. Fuchs:
EPIC-Survival: End-to-end Part Inferred Clustering for Survival Analysis, Featuring Prognostic Stratification Boosting. - Ana Paula Chaves, Jesse Egbert, Toby Hocking, Eck Doerry, Marco Aurélio Gerosa:
Chatbots language design: the influence of language variation on user experience. - Pengxia Wu, Julian Cheng:
Nonconvex Regularized Gradient Projection Sparse Reconstruction for Massive MIMO Channel Estimation. - Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How:
Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams. - Pablo del Moral, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Sepideh Pashami:
Pitfalls of Assessing Extracted Hierarchies for Multi-Class Classification. - Johann Sienz, Mauro Sebastián Innocente:
Particle Swarm Optimization: Fundamental Study and its Application to Optimization and to Jetty Scheduling Problems. - Uttaran Bhattacharya, Nicholas Rewkowski, Abhishek Banerjee, Pooja Guhan, Aniket Bera, Dinesh Manocha:
Text2Gestures: A Transformer-Based Network for Generating Emotive Body Gestures for Virtual Agents. - Jerry M. Lumasag, Hidear Talirongan, Florence Jean B. Talirongan, Charies L. Labanza:
Data driven Decision Support on Students Behavior using Fuzzy Based Approach. - Toby Jia-Jun Li, Lindsay Popowski, Tom M. Mitchell, Brad A. Myers:
Screen2Vec: Semantic Embedding of GUI Screens and GUI Components. - Benjamin Muller, Yanai Elazar, Benoît Sagot, Djamé Seddah:
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT. - Rohan Thakker, Nikhilesh Alatur, David D. Fan, Jesus Tordesillas, Michael Paton, Kyohei Otsu, Olivier Toupet, Ali-akbar Agha-mohammadi:
Autonomous Off-road Navigation over Extreme Terrains with Perceptually-challenging Conditions. - Xin Yang, Zongliang Ma, Letian Yu, Ying Cao, Baocai Yin, Xiaopeng Wei, Qiang Zhang, Rynson W. H. Lau:
Automatic Comic Generation with Stylistic Multi-page Layouts and Emotion-driven Text Balloon Generation. - Bing Li, Yujie He, Wenjin Xu:
Cross-Lingual Named Entity Recognition Using Parallel Corpus: A New Approach Using XLM-RoBERTa Alignment. - David Sehloff, Line Roald:
Steady State Modeling for Variable Frequency AC Power Flow. - John D. Foley, Spencer Breiner, Eswaran Subrahmanian, John M. Dusel:
Operads for complex system design specification, analysis and synthesis. - Ofer Dagan, Nisar R. Ahmed:
Exact and Approximate Heterogeneous Bayesian Decentralized Data Fusion. - Gustavo Kasper Facenda, Elad Domanovitz, Ashish Khisti, Wai-Tian Tan, John G. Apostolopoulos:
Streaming Erasure Codes over the Multiple Access Relay Channel. - Fitash Ul Haq, Donghwan Shin, Shiva Nejati, Lionel C. Briand:
Can Offline Testing of Deep Neural Networks Replace Their Online Testing? - Bing Li:
Named Entity Recognition in the Style of Object Detection. - Luca D'Alessio, Litian Liu, Ken Duffy, Yonina C. Eldar, Muriel Médard, Mehrtash Babadi:
A Coding Theory Perspective on MultiplexedMolecular Profiling of Biological Tissues. - Badreddine Benreguia, Hamouma Moumen, Souheila Bouam, Chafik Arar:
Self-stabilizing Algorithm for Maximal Distance-2 Independent Set. - Beilei Xiang, Changbing Yang, Yu Li, Alex Warstadt, Katharina Kann:
CLiMP: A Benchmark for Chinese Language Model Evaluation. - Tanushree Roy, Satadru Dey:
Route Choice-based Socio-Technical Macroscopic Traffic Model. - Alexandry Augustin, Alexandros Papangelis, Margarita Kotti, Pavlos Vougiouklis, Jonathon Hare, Norbert Braunschweiler:
Open-domain Topic Identification of Out-of-domain Utterances using Wikipedia. - Shashwat Silas:
Real-time oblivious erasure correction with linear time decoding and constant feedback. - Abbas El Gamal, Amin Gohari, Chandra Nair:
Strengthened Cutset Upper Bounds on the Capacity of the Relay Channel and Applications. - Akira Imakura, Anna Bogdanova, Takaya Yamazoe, Kazumasa Omote, Tetsuya Sakurai:
Accuracy and Privacy Evaluations of Collaborative Data Analysis. - Mohammad Mukhtaruzzaman, Mohammed Atiquzzaman:
Cloud based VANET Simulator (CVANETSIM). - Costas Kravaris, Sunjeev Venkateswaran:
Functional Observers with Linear Error Dynamics for Nonlinear Systems. - Frank F. Xu, Bogdan Vasilescu, Graham Neubig:
In-IDE Code Generation from Natural Language: Promise and Challenges. - Donald M. Stull:
Optimal Oracles for Point-to-Set Principles. - Sudhanshu Mishra, Shivangi Prasad, Shubhanshu Mishra:
Exploring multi-task multi-lingual learning of transformer models for hate speech and offensive speech identification in social media. - Lan V. Truong:
The fundamental limits of sparse linear regression with sublinear sparsity. - Yiheng Wei, YangQuan Chen, Yingdong Wei, Xuefeng Zhang:
Consistent approximation of fractional order operators. - Adam Byerly, Tatiana Kalganova, Anthony J. Grichnik:
On the Importance of Capturing a Sufficient Diversity of Perspective for the Classification of micro-PCBs. - Weiwei Jiang, Jiayun Luo:
Graph Neural Network for Traffic Forecasting: A Survey. - Jacob Solawetz, Stefan Larson:
LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction. - Yutao Zhu, Kun Zhou, Jian-Yun Nie, Shengchao Liu, Zhicheng Dou:
Neural Sentence Ordering Based on Constraint Graphs. - Masato Tanaka, Tomomi Matsui:
Pseudo Polynomial Size LP Formulation for Calculating the Least Core Value of Weighted Voting Games. - Haipeng Li, Shuaicheng Liu, Jue Wang:
DeepOIS: Gyroscope-Guided Deep Optical Image Stabilizer Compensation. - Keigo Takeuchi:
Bayes-Optimal Convolutional AMP. - Junjie Li, Junwei Zhang, Xiaoyu Gong, Shuai Lü:
Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation. - David Cotton, Zenon Chaczko:
GymD2D: A Device-to-Device Underlay Cellular Offload Evaluation Platform. - Feng Zhang, Xueying Wang, Shilin Zhou, Yingqian Wang:
Arbitrary-Oriented Ship Detection through Center-Head Point Extraction. - Alaa Eddin Alchalabi:
On Small-World Networks: Survey and Properties Analysis. - Seunghoan Song, Masahito Hayashi:
Equivalence of Non-Perfect Secret Sharing and Symmetric Private Information Retrieval with General Access Structure. - Ingy Elsayed-Aly, Suda Bharadwaj, Christopher Amato, Rüdiger Ehlers, Ufuk Topcu, Lu Feng:
Safe Multi-Agent Reinforcement Learning via Shielding. - Mengran Xue, Sandip Roy:
Cyber-Physical Queueing-Network Model for Risk Management in Next-Generation Emergency Response Systems. - Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Similarity of Classification Tasks. - Haibo Yang, Minghong Fang, Jia Liu:
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning. - Jiaxin Bai, Hongming Zhang, Yangqiu Song, Kun Xu:
Joint Coreference Resolution and Character Linking for Multiparty Conversation. - Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang:
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. - Vinayak Naik, Anish Arora:
Harvest: A Reliable and Energy Efficient Bulk Data Collection Service for Large Scale Wireless Sensor Networks. - Muhammad Asif Ali, Yifang Sun, Bing Li, Wei Wang:
Fine-Grained Named Entity Typing over Distantly Supervised Data via Refinement in Hyperbolic Space. - Siddhant Garg, Goutham Ramakrishnan, Varun Thumbe:
Towards Robustness to Label Noise in Text Classification via Noise Modeling. - Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn:
PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation. - Tejas Atul Khare, Anuradha C. Phadke:
Automated Crop Field Surveillance using Computer Vision. - Jingyi Li, Sonia Hashim, Jennifer Jacobs:
What We Can Learn From Visual Artists About Software Development. - Kwanyoung Park, Junseok Park, Hyunseok Oh, Byoung-Tak Zhang, Youngki Lee:
Learning task-agnostic representation via toddler-inspired learning. - Jafar Majidpour, Samer Kais Jameel:
Automatic image annotation base on Naive Bayes and Decision Tree classifiers using MPEG-7. - Rawal Khirodkar, Visesh Chari, Amit K. Agrawal, Ambrish Tyagi:
Multi-Hypothesis Pose Networks: Rethinking Top-Down Pose Estimation. - Jianzhe Lin, Ghazal Sahebzamani, Christina Luong, Fatemeh Taheri Dezaki, Mohammad H. Jafari, Purang Abolmaesumi, Teresa Tsang:
Reciprocal Landmark Detection and Tracking with Extremely Few Annotations. - Qin Li, Pan Yan, Xiao Huang, Liuqing Yang, Fengyuan Xu:
On developing piecewise rational mapping with fine regulation capability for WENO schemes. - Torben Teepe, Ali Khan, Johannes Gilg, Fabian Herzog, Stefan Hörmann, Gerhard Rigoll:
GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition. - Jessica Wang, Amy X. Zhang, David R. Karger:
Pano: Engaging with News using Moral Framing towards Bridging Ideological Divides. - Xishun Liao, Xuanpeng Zhao, Guoyuan Wu, Matthew J. Barth, Ziran Wang, Kyungtae Han, Prashant Tiwari:
A Game Theory Based Ramp Merging Strategy for Connected and Automated Vehicles in the Mixed Traffic: A Unity-SUMO Integrated Platform. - Akila Pemasiri, Kien Nguyen Thanh, Sridha Sridharan, Clinton Fookes:
Im2Mesh GAN: Accurate 3D Hand Mesh Recovery from a Single RGB Image. - Xidong Wang:
Smooth Attitude Tracking Control of a 3-DOF Helicopter with Guaranteed Performance. - Kele Xu, Tamás Gábor Csapó, Ming Feng:
Convolutional Neural Network-Based Age Estimation Using B-Mode Ultrasound Tongue Image. - David López-Pérez, Antonio De Domenico, Nicola Piovesan, Harvey Baohongqiang, Xinli Geng, Qitao Song, Mérouane Debbah:
A Survey on 5G Energy Efficiency: Massive MIMO, Lean Carrier Design, Sleep Modes, and Machine Learning. - Sai Sukruth Bezugam, Swatilekha Majumdar, Chetan Ralekar, Tapan Kumar Gandhi:
Efficient Video Summarization Framework using EEG and Eye-tracking Signals. - Zhihao Liu, Yuqian Fu:
e-ACJ: Accurate Junction Extraction For Event Cameras. - Sanghyun Jo, In-Jae Yu:
Puzzle-CAM: Improved localization via matching partial and full features. - Kookjin Lee, Nathaniel A. Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr:
Partition of unity networks: deep hp-approximation. - Valter Crescenzi, Andrea De Angelis, Donatella Firmani, Maurizio Mazzei, Paolo Merialdo, Federico Piai, Divesh Srivastava:
Alaska: A Flexible Benchmark for Data Integration Tasks. - Natasa Vodopivec, Carole Adam, Jean-Pierre Chanteau:
Modeling opinion leader's role in the diffusion of innovation. - Tomasz Szandala:
TorchPRISM: Principal Image Sections Mapping, a novel method for Convolutional Neural Network features visualization. - Henri Giudici, Boris Mocialov, Aslak Myklatun:
ViaPPS: A Mobile Pavement Profiling System. - Suyuchen Wang, Ruihui Zhao, Xi Chen, Yefeng Zheng, Bang Liu:
Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion. - Ryota Tanaka, Kyosuke Nishida, Sen Yoshida:
VisualMRC: Machine Reading Comprehension on Document Images. - Yang Yu, Shangce Gao, MengChu Zhou, Yirui Wang, Zhenyu Lei, Tengfei Zhang, Jiahai Wang:
Scale-free Network-based Differential Evolution. - Elodie Bouzbib, Gilles Bailly, Sinan Haliyo, Pascal Frey:
"Can I Touch This?": Survey of Virtual Reality Interactions via Haptic Solutions. - Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Theodoros Georgiou, Paul W. Fieguth, Li Liu, Michael S. Lew:
Deep Image Retrieval: A Survey. - Corinna Coupette, Janis Beckedorf, Dirk Hartung, Michael J. Bommarito II, Daniel Martin Katz:
Measuring Law Over Time: A Network Analytical Framework with an Application to Statutes and Regulations in the United States and Germany. - Zhou Lu:
A Note on the Representation Power of GHHs. - Lucas Weber, Jaap Jumelet, Elia Bruni, Dieuwke Hupkes:
Language Modelling as a Multi-Task Problem. - Pradeep Singh, Nilanjan Senroy:
Steady-State Model of VSC based FACTS Devices using Flexible Holomorphic Embedding: (SSSC and IPFC). - Thach V. Bui, Mahdi Cheraghchi, Thuc Dinh Nguyen:
Improved algorithms for non-adaptive group testing with consecutive positives. - Yiying Li, Wei Zhou, Huaimin Wang, Haibo Mi, Timothy M. Hospedales:
FedH2L: Federated Learning with Model and Statistical Heterogeneity. - Julius Steen, Katja Markert:
How to Evaluate a Summarizer: Study Design and Statistical Analysis for Manual Linguistic Quality Evaluation. - Peixiao Zheng, Xin Guo, Lin Qi:
Edge-Labeling based Directed Gated Graph Network for Few-shot Learning. - Dor Mesica, Shay Mozes:
A Note on Maximum Integer Flows in Directed Planar Graphs with Vertex Capacities. - Niels van der Heijden, Helen Yannakoudakis, Pushkar Mishra, Ekaterina Shutova:
Multilingual and cross-lingual document classification: A meta-learning approach. - Alessio Ferrari, Franco Mazzanti, Davide Basile, Maurice H. ter Beek:
Systematic Evaluation and Usability Analysis of Formal Tools for Railway System Design. - Shuo-Hui Li:
Learning Non-linear Wavelet Transformation via Normalizing Flow. - Johannes Dommel, Zoran Utkovski, Osvaldo Simeone, Slawomir Stanczak:
Joint Source-Channel Coding for Semantics-Aware Grant-Free Radio Access in IoT Fog Networks. - Chris Emmery, Ákos Kádár, Grzegorz Chrupala:
Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling. - Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann:
Towards a Standard Feature Set of NIDS Datasets. - Anneke Pehmöller, Frank Salger, Stefan Wagner:
Testing in Global Software Development - A Pattern Approach. - Onur Dizdar, Bruno Clerckx:
Rate Splitting Multiple Access for Multi-Antenna Multi-Carrier Joint Communications and Jamming. - Boro Sitnikovski:
Tutorial on implementing Hoare logic for imperative programs in Haskell. - Kenta Yamamoto, Ippei Suzuki, Akihisa Shitara, Yoichi Ochiai:
See-Through Captions: Real-Time Captioning on Transparent Display for Deaf and Hard-of-Hearing People. - Mikhail Kamenev:
Sequential decoding of high-rate Reed-Muller codes. - Philip J. Ball, Stephen J. Roberts:
OffCon3: What is state of the art anyway? - Yevgen Matusevych, Herman Kamper, Thomas Schatz, Naomi H. Feldman, Sharon Goldwater:
A phonetic model of non-native spoken word processing. - George Tsatiris, Kostas Karpouzis:
Developing for personalised learning: the long road from educational objectives to development and feedback. - Xinyi Ding, Eric C. Larson:
On the Interpretability of Deep Learning Based Models for Knowledge Tracing. - Pedro Martins, Filipa Alarcão Martins:
Launchers and Targets in Social Networks. - G. Negrini, Nicola Parolini, Marco Verani:
A diffuse interface box method for elliptic problems. - Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin:
Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search. - Qipeng Wang, Liang Liu, Shuowen Zhang, Francis C. M. Lau:
On Massive IoT Connectivity with Temporally-Correlated User Activity. - Jinxiong Zhang:
Decision Machines: Interpreting Decision Tree as a Model Combination Method. - Zhenqiao Song, Jiaze Chen, Hao Zhou, Lei Li:
Triangular Bidword Generation for Sponsored Search Auction. - Fabien Le Floc'h:
Entropy of Mersenne-Twisters. - Dario Stein, Sam Staton:
Compositional Semantics for Probabilistic Programs with Exact Conditioning. - Yufei Cui, Ziquan Liu, Qiao Li, Yu Mao, Antoni B. Chan, Chun Jason Xue:
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression. - Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhiping Shi, Qing He:
Combat Data Shift in Few-shot Learning with Knowledge Graph. - Kanchan K. Chaurasia, Reena Sahu, Abhishek K. Gupta:
Coverage Analysis of Broadcast Networks with Users Having Heterogeneous Content/Advertisement Preferences. - Elena Beretta, Antonio Vetrò, Bruno Lepri, Juan Carlos De Martin:
Detecting discriminatory risk through data annotation based on Bayesian inferences. - Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi:
An explainable Transformer-based deep learning model for the prediction of incident heart failure. - Yen-Ting Lin, Yun-Nung Chen:
An Empirical Study of Cross-Lingual Transferability in Generative Dialogue State Tracker. - Hyunjae Lee, Jaewoong Yoon, Bonggyu Hwang, Seongho Joe, Seungjai Min, Youngjune Gwon:
KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding. - Yichao Du, Pengfei Luo, Xudong Hong, Tong Xu, Zhe Zhang, Chao Ren, Yi Zheng, Enhong Chen:
Inheritance-guided Hierarchical Assignment for Clinical Automatic Diagnosis. - Charles Wilmot, Jochen Triesch:
Learning Abstract Representations through Lossy Compression of Multi-Modal Signals. - Jing Sun, Weihua Deng, Daxin Nie:
Finite difference method for inhomogeneous fractional Dirichlet problem. - Zhijun Ding, Ru Yang, Puwen Cui, MengChu Zhou, Changjun Jiang:
Variable Petri Nets for Mobility. - Jakob Ablinger:
Extensions of the AZ-algorithm and the Package MultiIntegrate. - Zhenkun Zhou, Matteo Serafino, Luciano Cohan, Guido Caldarelli, Hernán A. Makse:
Why polls fail to predict elections. - Charles Wilmot, Bertram E. Shi, Jochen Triesch:
Self-Calibrating Active Binocular Vision via Active Efficient Coding with Deep Autoencoders. - Malik Imran, Zain Ul Abideen, Samuel Pagliarini:
An Open-source Library of Large Integer Polynomial Multipliers. - Roland Becker, Gregor Gantner, Michael Innerberger, Dirk Praetorius:
Goal-oriented adaptive finite element methods with optimal computational complexity. - Daniel Lemire:
Number Parsing at a Gigabyte per Second. - Wentao Zhang, Zhiqiang Zuo, Yijing Wang:
A Two-Functional-Network Framework of Opinion Dynamics. - Wim Vanroose, Jeffrey Cornelis:
Krylov-Simplex method that minimizes the residual in 𝓁1-norm or 𝓁∞-norm. - Arya Roy:
Recent Trends in Named Entity Recognition (NER). - Shin-Cheng Mu, Tsung-Ju Chiang:
Deriving monadic quicksort (Declarative Pearl). - Sreyan Ghosh, Sonal Kumar, Harsh Jalan, Hemant Yadav, Rajiv Ratn Shah:
Cisco at AAAI-CAD21 shared task: Predicting Emphasis in Presentation Slides using Contextualised Embeddings. - Xiao Fu, Guijun Zhang:
A More Efficient Chinese Named Entity Recognition base on BERT and Syntactic Analysis. - Weipeng Jing, Xianyang Song, Donglin Di, Houbing Song:
geoGAT: Graph Model Based on Attention Mechanism for Geographic Text Classification. - Akansha Gautam, Venktesh V, Sarah Masud:
Fake News Detection System using XLNet model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task. - Xiang-Rong Sheng, Liqin Zhao, Guorui Zhou, Xinyao Ding, Binding Dai, Qiang Luo, Siran Yang, Jingshan Lv, Chi Zhang, Xiaoqiang Zhu:
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction. - Karthik Duraisamy:
Variational Encoders and Autoencoders : Information-theoretic Inference and Closed-form Solutions. - Xiao Li, Yawei Sun, Gong Cheng:
TSQA: Tabular Scenario Based Question Answering. - Shu-Yuan Hu, Fei Teng:
An Explainable CNN Approach for Medical Codes Prediction from Clinical Text. - Silvia Fareri, Nicola Melluso, Filippo Chiarello, Gualtiero Fantoni:
SkillNER: Mining and Mapping Soft Skills from any Text. - Hillary Ngai, Yoona Park, John Chen, Mahboobeh Parsapoor:
Transformer-Based Models for Question Answering on COVID19. - Artem Artemov, A. Veselovskiy, I. Khasenevich, Ivan Bolokhov:
Analysis of Basic Emotions in Texts Based on BERT Vector Representation. - Fatemah Husain, Özlem Uzuner:
Exploratory Arabic Offensive Language Dataset Analysis. - Apdullah Yayik, Yakup Kutlu:
Online LDA based brain-computer interface system to aid disabled people. - Kadir Tohma, Yakup Kutlu:
Challenges Encountered in Turkish Natural Language Processing Studies. - Anne-Kathrin Schumann, Christoph Beierle, Norbert Blößner:
Using Finite-State Machines to Automatically Scan Classical Greek Hexameter. - Markus Horn, Thomas Wodtko, Michael Buchholz, Klaus Dietmayer:
Online Extrinsic Calibration based on Per-Sensor Ego-Motion Using Dual Quaternions. - Mauro Sebastián Innocente, Johann Sienz:
Pseudo-Adaptive Penalization to Handle Constraints in Particle Swarm Optimizers. - Sebastian Pokutta, Huan Xu:
Adversaries in Online Learning Revisited: with applications in Robust Optimization and Adversarial training. - Debarati B. Chakraborty, Mukesh Sharma, Bhaskar Vijay:
Controlling by Showing: i-Mimic: A Video-based Method to Control Robotic Arms. - Shinji Hara, Tetsuya Iwasaki, Yutaka Hori:
Robust Instability Radius for Multi-agent Dynamical Systems with Cyclic Structure. - Jan Hendrik Metzen, Nicole Finnie, Robin Hutmacher:
Meta Adversarial Training. - Shutang You:
Impact of High Penetration of Inverter-based Generation on Electromechanical Wave Propagation in Power Grids. - Fupin Yao:
Machine learning with limited data. - D. L. Abeywardhana, C. D. Dangalle, Anupiya Nugaliyadde, Yashas Mallawarachchi:
An Ultra-Specific Image Dataset for Automated Insect Identification. - Till Feier, Jan Gogoll, Matthias Uhl:
Hiding Behind Machines: When Blame Is Shifted to Artificial Agents. - Federico Nesti, Alessandro Biondi, Giorgio C. Buttazzo:
Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting. - Jingwen Zhao, Xuanpeng Li, Qifan Xue, Weigong Zhang:
Spatial-Channel Transformer Network for Trajectory Prediction on the Traffic Scenes. - Hiroaki Nishikawa:
Improved Wall-Normal Derivative Formulae for Anisotropic Adaptive Simplex-Element Grids. - Alvaro Gomariz, Raphael Egli, Tiziano Portenier, César Nombela-Arrieta, Orcun Goksel:
Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers. - Maha Alkhairy:
Medical Segment Coloring of Clinical Notes. - Jonathan Sterling, Carlo Angiuli:
Normalization for Cubical Type Theory. - Zhenhua Zhang:
Deriving the Traveler Behavior Information from Social Media: A Case Study in Manhattan with Twitter. - Robin Haunschild, Lutz Bornmann, Devendra Potnis, Iman Tahamtan:
Investigating Diffusion of Scientific Knowledge on Twitter: A Study of Topic Networks of Opioid Publications. - Ioannis Papoutsidakis, Robert J. Piechocki, Angela Doufexi:
Non-Asymptotic Converse Bounds Via Auxiliary Channels. - Laura Pérez-Mayos, Roberto Carlini, Miguel Ballesteros, Leo Wanner:
On the Evolution of Syntactic Information Encoded by BERT's Contextualized Representations. - Song-Ju Kim, Taiki Takahashi, Kazuo Sano:
A Balance for Fairness: Fair Distribution Utilising Physics in Games of Characteristic Function Form. - Simran Tinani, Joachim Rosenthal:
A Deterministic Algorithm for the Discrete Logarithm Problem in a Semigroup. - Emmanuel Adetiba, Temitope John, Adekunle Akinrinmade, Funmilayo Moninuola, Oladipupo Akintade, Joke A. Badejo:
Evolution of artificial intelligence languages, a systematic literature review. - Boel Nelson:
Randori: Local Differential Privacy for All. - Di Tong, Lingfei Wu, James Allen Evans:
Low-skilled Occupations Face the Highest Re-skilling Pressure. - Olivier Rukundo:
Effects of Image Size on Deep Learning. - Yefim Dinitz, Shlomi Dolev, Manish Kumar:
Polynomial Time Prioritized Multi-Criteria k-Shortest Paths and k-Disjoint All-Criteria-Shortest Paths. - Risheng Liu, Jiaxin Gao, Jin Zhang, Deyu Meng, Zhouchen Lin:
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond. - Yuki Takezawa, Ryoma Sato, Makoto Yamada:
Supervised Tree-Wasserstein Distance. - John Buczek, Viktor Ivankevych:
Practical Utility PV Multilevel Inverter Solutions. - Kaili Ma, Haochen Yang, Han Yang, Tatiana Jin, Pengfei Chen, Yongqiang Chen, Barakeel Fanseu Kamhoua, James Cheng:
Improving Graph Representation Learning by Contrastive Regularization. - Anirudh Thatipelli, Neel Trivedi, Ravi Kiran Sarvadevabhatla:
NTU60-X: Towards Skeleton-based Recognition of Subtle Human Actions. - Pranay Gupta, Divyanshu Sharma, Ravi Kiran Sarvadevabhatla:
Syntactically Guided Generative Embeddings for Zero-Shot Skeleton Action Recognition. - Ruriko Yoshida, Misaki Takamori, Hideyuki Matsumoto, Keiji Miura:
Tropical Support Vector Machines: Evaluations and Extension to Function Spaces. - Lijing Zheng, Haibin Kan, Yanjun Li, Jie Peng, Deng Tang:
Constructing new APN functions through relative trace functions. - Eric Goubault, Sylvie Putot:
Tractable higher-order under-approximating AE extensions for non-linear systems. - Albin Soutif, Carole Adam, Sylvain Bouveret:
Multi-agent simulation of voter's behaviour. - Sabtain Ahmad, Kevin Styp-Rekowski, Sasho Nedelkoski, Odej Kao:
Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines. - Robert Beinert, Peter Jung, Gabriele Steidl, Tom Szollmann:
Super-Resolution for Doubly-Dispersive Channel Estimation. - Yassine Bouachrine, Carole Adam:
Modelling the Impact of Scandals: the case of the 2017 French Presidential Election. - Jun Hu, Shengsheng Qian, Quan Fang, Youze Wang, Quan Zhao, Huaiwen Zhang, Changsheng Xu:
Efficient Graph Deep Learning in TensorFlow with tf_geometric. - Manisha Verma, Kapil Thadani, Shaunak Mishra:
Powering COVID-19 community Q&A with Curated Side Information. - Abd Errahmane Kiouche, Julien Baste, Mohammed Haddad, Hamida Seba:
A Neighborhood-preserving Graph Summarization. - Ece Calikus, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Onur Dikmen:
Wisdom of the Contexts: Active Ensemble Learning for Contextual Anomaly Detection. - Yehao Li, Yingwei Pan, Ting Yao, Jingwen Chen, Tao Mei:
Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network. - Rashmiranjan Das, Gaurav Negi, Alan F. Smeaton:
Detecting Deepfake Videos Using Euler Video Magnification. - Tobia Marcucci, Jack Umenberger, Pablo A. Parrilo, Russ Tedrake:
Shortest Paths in Graphs of Convex Sets. - Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto:
An Integrated Localisation, Motion Planning and Obstacle Avoidance Algorithm in Belief Space. - Marco Tarini:
Closed-form Quadrangulation of N-Sided Patches. - Jiaqi Wu, Weihua Li, Quan Bai, Takayuki Ito, Ahmed Moustafa:
Privacy Information Classification: A Hybrid Approach. - Tania Chakraborty, Manasa Prasad, Theresa Breiner, Sandy Ritchie, Daan van Esch:
Mining Large-Scale Low-Resource Pronunciation Data From Wikipedia. - Ke Hu, Ruoming Pang, Tara N. Sainath, Trevor Strohman:
Transformer Based Deliberation for Two-Pass Speech Recognition. - Steven J. Frank:
The Work of Art in an Age of Mechanical Generation. - Daniel Schwalbe-Koda, Aik Rui Tan, Rafael Gómez-Bombarelli:
Adversarial Attacks on Uncertainty Enable Active Learning for Neural Network Potentials. - Claire Chen, Krishnan Srinivasan, Jeffrey Zhang, Junwu Zhang:
Dexterous Manipulation Primitives for the Real Robot Challenge. - Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce:
Shape or Texture: Understanding Discriminative Features in CNNs. - Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, Jonathon Shlens, Pieter Abbeel, Ashish Vaswani:
Bottleneck Transformers for Visual Recognition. - Akshita Gupta, Sanath Narayan, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Joost van de Weijer:
Generative Multi-Label Zero-Shot Learning. - Wenhui Zhang, Trent Jaeger, Peng Liu:
Analyzing the Overhead of Filesystem Protection Using Linux Security Modules. - Pradeep Singh, Nilanjan Senroy:
Steady-State Models of STATCOM and UPFC using Flexible Holomorphic Embedding. - Abanoub M. Girgis, Jihong Park, Mehdi Bennis, Mérouane Debbah:
Predictive Control and Communication Co-Design via Two-Way Gaussian Process Regression and AoI-Aware Scheduling. - Quan M. Bui, François P. Hamon, Nicola Castelletto, Daniel Osei-Kuffuor, Randolph R. Settgast, Joshua A. White:
Multigrid reduction preconditioning framework for coupled processes in porous and fractured media. - Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, Amir Salman Avestimehr:
List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier. - T. Sayfutdinov, P. Vorobev:
Optimal Utilization Strategy of the LiFePO4 Battery Storage. - Alex Dytso, Martina Cardone, Cynthia Rush:
The Most Informative Order Statistic and its Application to Image Denoising. - Kaustubh Sadekar, Prajwal Singh, Shanmuganathan Raman:
HDIB1M - Handwritten Document Image Binarization 1 Million Dataset. - Gurpreet Singh, Soumyajit Gupta, Matthew Lease, Clint Dawson:
A Hybrid 2-stage Neural Optimization for Pareto Front Extraction. - Rasul Karimov, Victor Lempitsky:
CNN with large memory layers. - Spencer L. Gordon, Leonard J. Schulman:
Hadamard Powers and the Identification of Mixtures of Products. - Niels Van Kets, Bart Moens, Klaas Bombeke, Wouter Durnez, Pieter-Jan Maes, Glenn Van Wallendael, Lieven De Marez, Marc Leman, Peter Lambert:
Art and Science Interaction Lab - A highly flexible and modular interaction science research facility. - Mohammad Malekzadeh, Burak Hasircioglu, Nitish Mital, Kunal Katarya, Mehmet Emre Ozfatura, Deniz Gündüz:
Dopamine: Differentially Private Federated Learning on Medical Data. - Zhenyu Lei, Yejing Xie, Suiyi Ling, Andreas Pastor, Junle Wang, Patrick Le Callet:
Multi-Modal Aesthetic Assessment for MObile Gaming Image. - Domen Vres, Marko Robnik-Sikonja:
Better sampling in explanation methods can prevent dieselgate-like deception. - Hongjie Zhang:
A Unified Framework for Feature Extraction based on Contrastive Learning. - Mahsa Shafaei, Christos Smailis, Ioannis A. Kakadiaris, Thamar Solorio:
A Case Study of Deep Learning Based Multi-Modal Methods for Predicting the Age-Suitability Rating of Movie Trailers. - Elizabeth Leininger, Kelly Shaw, Niema Moshiri, Kelly Neiles, Getiria Onsongo, Anna M. Ritz:
Ten Simple Rules for Attending Your First Conference. - Kinjal Basu, Sarat Chandra Varanasi, Farhad Shakerin, Joaquín Arias, Gopal Gupta:
Knowledge-driven Natural Language Understanding of English Text and its Applications. - Kartik Chandrasekhar, Nevena Stevanovic, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden:
Damage detection in operational wind turbine blades using a new approach based on machine learning. - Chunxing Yin, Bilge Acun, Xing Liu, Carole-Jean Wu:
TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models. - Ning Ge, Guanghao Li, Li Zhang, Yi Liu:
Failure Prediction in Production Line Based on Federated Learning: An Empirical Study. - Dennis Müller, Cezary Kaliszyk:
Disambiguating Symbolic Expressions in Informal Documents. - Adrien Gauffriau, François Malgouyres, Mélanie Ducoffe:
Overestimation learning with guarantees. - Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta:
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation. - Luca Attanasio, Mauro Conti, Denis Donadel, Federico Turrin:
MiniV2G: An Electric Vehicle Charging Emulator. - Haris Aziz, Aditya Ganguly:
Participatory Funding Coordination: Model, Axioms and Rules. - Cristina Feier:
Efficiency of Query Evaluation Under Guarded TGDs: The Unbounded Arity Case. - Abhishek Kumar Mishra, Aline Carneiro Viana, Nadjib Achir:
SimBle: Generating privacy preserving real-worldBLE traces with ground truth. - Ramana Nagasamudram, David A. Naumann:
Alignment Completeness for Relational Hoare Logics. - Johnathan Rhyne:
Probabilistic Error Analysis For Sequential Summation of Real Floating Point Numbers. - Hugh Perkins:
"This item is a glaxefw, and this is a glaxuzb": Compositionality Through Language Transmission, using Artificial Neural Networks. - Geza Kovacs, Zhengxuan Wu, Michael S. Bernstein:
Not Now, Ask Later: Users Weaken Their Behavior Change Regimen Over Time, But Expect To Re-Strengthen It Imminently. - Matthew Smart, Anton Zilman:
On the mapping between Hopfield networks and Restricted Boltzmann Machines. - Jorge Francisco Ciprián-Sánchez, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Lucile Rossi:
Assessing the applicability of Deep Learning-based visible-infrared fusion methods for fire imagery. - Hamzah Abdel-Aziz, Ali Shafiee, Jong Hoon Shin, Ardavan Pedram, Joseph H. Hassoun:
Rethinking Floating Point Overheads for Mixed Precision DNN Accelerators. - Shiran Liu, Zhaoqiang Guo, Yanhui Li, Chuanqi Wang, Lin Chen, Zhongbin Sun, Yuming Zhou:
An extensive empirical study of inconsistent labels in multi-version-project defect data sets. - Chuteng Zhou, Quntao Zhuang, Matthew Mattina, Paul N. Whatmough:
Information contraction in noisy binary neural networks and its implications. - Mohit Yadav, Daniel Sheldon, Cameron Musco:
Faster Kernel Interpolation for Gaussian Processes. - Manoj Kumar, Varun Kumar, Hadrien Glaude, Cyprien de Lichy, Aman Alok, Rahul Gupta:
ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification. - Joseph W. Iverson, Emily J. King, Dustin G. Mixon:
A note on tight projective 2-designs. - Nourhan Hesham, Anas Chaaban:
On the Performance of Large-Scale Wireless Networks in the Finite Block-Length Regime. - Marta D'Elia, Christian Glusa:
A fractional model for anomalous diffusion with increased variability. Analysis, algorithms and applications to interface problems. - Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus:
Improving Neural Network Robustness through Neighborhood Preserving Layers. - Zhiqiang Wei, Weijie Yuan, Shuangyang Li, Jinhong Yuan, Derrick Wing Kwan Ng:
Performance Analysis and Window Design for Channel Estimation of OTFS Modulation. - Davide Zappetti, Jean Marc Bejjani, Dario Floreano:
Evolutionary Co-Design of Morphology and Control of Soft Tensegrity Modular Robots with Programmable Stiffness. - Veljko Dubljevic, Sean Douglas, Jovan Milojevich, Nirav Ajmeri, William A. Bauer, George F. List, Munindar P. Singh:
Moral and Social Ramifications of Autonomous Vehicles. - Kai Lukoff, Ulrik Lyngs, Himanshu Zade, J. Vera Liao, James Choi, Kaiyue Fan, Sean A. Munson, Alexis Hiniker:
How the Design of YouTube Influences User Sense of Agency. - Qiang Zhou, Chaohui Yu, Chunhua Shen, Zhibin Wang, Hao Li:
Object Detection Made Simpler by Eliminating Heuristic NMS. - Cheng Mao, Mark Rudelson, Konstantin E. Tikhomirov:
Random Graph Matching with Improved Noise Robustness. - Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Jamshid Abouei, Ming Hou:
Joint Transmission Scheme and Coded Content Placement in Cluster-centric UAV-aided Cellular Networks. - Xiaopei Wan, Zhenhua Guo, Chao He, Yujiu Yang, Fangbo Tao:
Augmenting Proposals by the Detector Itself. - Tsu-Jui Fu, William Yang Wang, Daniel McDuff, Yale Song:
DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents. - Kang Wei, Jun Li, Ming Ding, Chuan Ma, Yo-Seb Jeon, H. Vincent Poor:
Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization. - Sicong Liu, Bin Guo, Ke Ma, Zhiwen Yu, Junzhao Du:
AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications. - Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi:
Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning. - Teeratorn Kadeethum, Francesco Ballarin, Nikolaos Bouklas:
Non-intrusive reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation. - Chen Wang, Shaoxiong Wang, Branden Romero, Filipe Veiga, Edward H. Adelson:
SwingBot: Learning Physical Features from In-hand Tactile Exploration for Dynamic Swing-up Manipulation. - Daniel S. Drew, Matthew R. Devlin, Elliot Wright Hawkes, Sean Follmer:
Acoustic Communication and Sensing for Inflatable Modular Soft Robots. - Alexander Mercier:
Contagion-Preserving Network Sparsifiers: Exploring Epidemic Edge Importance Utilizing Effective Resistance. - Masaaki Harada:
Construction of binary LCD codes, ternary LCD codes and quaternary Hermitian LCD codes. - Farnaz Jahanbakhsh, Amy X. Zhang, Adam J. Berinsky, Gordon Pennycook, David G. Rand, David R. Karger:
Exploring Lightweight Interventions at Posting Time to Reduce the Sharing of Misinformation on Social Media. - Vijay Kumar Patel, Dhirendra Bahuguna:
Numerical and approximate solutions for two-dimensional hyperbolic telegraph equation via wavelet matrices. - Md Geaur Rahman, Md Zahidul Islam:
Adaptive Decision Forest: An Incremental Machine Learning Framework. - Abhishek Gupta:
Making Responsible AI the Norm rather than the Exception. - Xuanyang Zhang, Pengfei Hou, Xiangyu Zhang, Jian Sun:
Neural Architecture Search with Random Labels. - Inbar Helbitz, Shai Avidan:
Reducing ReLU Count for Privacy-Preserving CNN Speedup. - Hrituraj Singh, Gaurav Verma, Aparna Garimella, Balaji Vasan Srinivasan:
DRAG: Director-Generator Language Modelling Framework for Non-Parallel Author Stylized Rewriting. - Iena Petronella Derks, Alta de Waal:
A Taxonomy of Explainable Bayesian Networks. - Stefania Fresca, Andrea Manzoni:
POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition. - Hongrun Wu, Yutao Ma, Zhenglong Xiang, Chen Yang, Keqing He:
A Spatial-Temporal Graph Neural Network Framework for Automated Software Bug Triaging. - Qian Wang, Yurong Chen:
The Tight Bound for Pure Price of Anarchy in an Extended Miner's Dilemma Game. - Yixin Chen, Wei Li, Rui Fan, Xiaopei Liu:
GPU Optimization for High-Quality Kinetic Fluid Simulation. - Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui:
Interpreting and Unifying Graph Neural Networks with An Optimization Framework. - Yuki Usui, Masahiko Ueda:
Symmetric equilibrium of multi-agent reinforcement learning in repeated prisoner's dilemma. - Romann M. Weber:
The Hidden Tasks of Generative Adversarial Networks: An Alternative Perspective on GAN Training. - Hancheng Cao, Chia-Jung Lee, Shamsi T. Iqbal, Mary Czerwinski, Priscilla N. Y. Wong, Sean Rintel, Brent J. Hecht, Jaime Teevan, Longqi Yang:
Large Scale Analysis of Multitasking Behavior During Remote Meetings. - Taejun Choi, Guangdong Bai, Ryan K. L. Ko, Naipeng Dong, Wenlu Zhang, Shunyao Wang:
An Analytics Framework for Heuristic Inference Attacks against Industrial Control Systems. - Emmanuel Hadoux, Anthony Hunter, Sylwia Polberg:
Strategic Argumentation Dialogues for Persuasion: Framework and Experiments Based on Modelling the Beliefs and Concerns of the Persuadee. - Pengwei Zhan, Liming Wang, Yi Tang:
Website Fingerprinting on Early QUIC Traffic. - Yufeng Zhang, Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang:
A Graph-based Relevance Matching Model for Ad-hoc Retrieval. - Ju He, Adam Kortylewski, Alan L. Yuille:
COMPAS: Representation Learning with Compositional Part Sharing for Few-Shot Classification. - Rohitash Chandra, Ayush Jain, Divyanshu Singh Chauhan:
Deep learning via LSTM models for COVID-19 infection forecasting in India. - Michal Pinos, Vojtech Mrazek, Lukás Sekanina:
Evolutionary Neural Architecture Search Supporting Approximate Multipliers. - Tineke Blom, Joris M. Mooij:
Causality and independence in perfectly adapted dynamical systems. - Lukas Ortmann, Dawei Shi, Eyal Dassau, Francis J. Doyle III, Berno J. E. Misgeld, Steffen Leonhardt:
Automated Insulin Delivery for Type 1 Diabetes Mellitus Patients using Gaussian Process-based Model Predictive Control. - Johannes Bjerva, Isabelle Augenstein:
Does Typological Blinding Impede Cross-Lingual Sharing? - David Harbecke:
Explaining Natural Language Processing Classifiers with Occlusion and Language Modeling. - Timothy Atkinson, Saeed Saremi, Faustino J. Gomez, Jonathan Masci:
Automatic design of novel potential 3CLpro and PLpro inhibitors. - Shreya Gupta, Parantak Singh, Megha Sundriyal, Md. Shad Akhtar, Tanmoy Chakraborty:
LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content. - Xinle Liang, Yang Liu, Jiahuan Luo, Yuanqin He, Tianjian Chen, Qiang Yang:
Self-supervised Cross-silo Federated Neural Architecture Search. - Lukas Gonon, Christoph Schwab:
Deep ReLU Network Expression Rates for Option Prices in high-dimensional, exponential Lévy models. - Patrik Jonell, Youngwoo Yoon, Pieter Wolfert, Taras Kucherenko, Gustav Eje Henter:
HEMVIP: Human Evaluation of Multiple Videos in Parallel. - Emanuele Bugliarello, Desmond Elliott:
The Role of Syntactic Planning in Compositional Image Captioning. - Rachit Agarwal, Tanmay Thapliyal, Sandeep K. Shukla:
Detecting Malicious Accounts showing Adversarial Behavior in Permissionless Blockchains. - Lorenzo Porcaro, Emilia Gómez, Carlos Castillo:
Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics. - Andrea Galassi:
An Upper Bound on the Complexity of Tablut. - Michal Kazmierski, Mattea Welch, Sejin Kim, Chris McIntosh, Katrina Rey-McIntyre, Shao-Hui Huang, Tirth Patel, Tony Tadic, Michael F. Milosevic, Fei-Fei Liu, Andrew Hope, Scott V. Bratman, Benjamin Haibe-Kains:
A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data. - Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool:
Exploring Cross-Image Pixel Contrast for Semantic Segmentation. - Mauro Sebastián Innocente, Johann Sienz:
Coefficients' Settings in Particle Swarm Optimization: Insight and Guidelines. - Stefan Heidekrüger, Paul Sutterer, Nils Kohring, Maximilian Fichtl, Martin Bichler:
Equilibrium Learning in Combinatorial Auctions: Computing Approximate Bayesian Nash Equilibria via Pseudogradient Dynamics. - Xue Yang, Junchi Yan, Qi Ming, Wentao Wang, Xiaopeng Zhang, Qi Tian:
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss. - Tathagata Raha, Vijayasaradhi Indurthi, Aayush Upadhyaya, Jeevesh Kataria, Pramud Bommakanti, Vikram Keswani, Vasudeva Varma:
Identifying COVID-19 Fake News in Social Media. - Pere-Lluís Huguet Cabot, David Abadi, Agneta Fischer, Ekaterina Shutova:
Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions. - Shuailong Liang, Lahari Poddar, Gyuri Szarvas:
Attention Guided Dialogue State Tracking with Sparse Supervision. - Ali Basirat, Joakim Nivre:
Syntactic Nuclei in Dependency Parsing - A Multilingual Exploration. - V. P. Denysiuk:
About some properties of simple trigonometric splines. - Zexin Liu, Akil Narayan:
On the computation of recurrence coefficients for univariate orthogonal polynomials. - David O'Callaghan, Patrick Mannion:
Exploring the Impact of Tunable Agents in Sequential Social Dilemmas. - Diego Rojo, Nyi Nyi Htun, Denis Parra, Robin De Croon, Katrien Verbert:
AHMoSe: A Knowledge-Based Visual Support System for Selecting Regression Machine Learning Models. - Ruqian Lu, Shuhan Zhang:
PSpan: Mining Frequent Subnets of Petri Nets. - Zeerak Waseem, Smarika Lulz, Joachim Bingel, Isabelle Augenstein:
Disembodied Machine Learning: On the Illusion of Objectivity in NLP. - Elena Zotova, Rodrigo Agerri, German Rigau:
Semi-automatic Generation of Multilingual Datasets for Stance Detection in Twitter. - Yaqi Xie, Fan Zhou, Harold Soh:
Embedding Symbolic Temporal Knowledge into Deep Sequential Models. - V. N. Tsakalidou, Pavlina Mitsou, George A. Papakostas:
Machine learning for cloud resources management - An overview. - Umberto Emil Morelli, Patricia Barral, Peregrina Quintela, Gianluigi Rozza, Giovanni Stabile:
A numerical approach for heat flux estimation in thin slabs continuous casting molds using data assimilation. - Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Francis E. H. Tay, Jiashi Feng, Shuicheng Yan:
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet. - Sindhu B. Hegde, Shankar Gangisetty:
PIG-Net: Inception based Deep Learning Architecture for 3D Point Cloud Segmentation. - Esther Derman, Gal Dalal, Shie Mannor:
Acting in Delayed Environments with Non-Stationary Markov Policies. - Michael Blondin, Tim Leys, Filip Mazowiecki, Philip Offtermatt, Guillermo A. Pérez:
Continuous One-Counter Automata. - Thanasis Vergoulis, Ilias Kanellos, Claudio Atzori, Andrea Mannocci, Serafeim Chatzopoulos, Sandro La Bruzzo, Natalia Manola, Paolo Manghi:
BIP! DB: A Dataset of Impact Measures for Scientific Publications. - Soundouss Messoudi, Sébastien Destercke, Sylvain Rousseau:
Copula-based conformal prediction for Multi-Target Regression. - Paulo Finardi, José Dié Viegas, Gustavo T. Ferreira, Alex F. Mansano, Vinicius Fernandes Caridá:
BERTaú: Itaú BERT for digital customer service. - Peter Bajcsy, Michael Majurski:
Baseline Pruning-Based Approach to Trojan Detection in Neural Networks. - Quynh Nguyen:
A Fully Rigorous Proof of the Derivation of Xavier and He's Initialization for Deep ReLU Networks. - Yannick Schmitz, Duygu Vietz, Egon Wanke:
A note on the complexity of k-Metric Dimension. - Tim Brüdigam:
(Stochastic) Model Predictive Control - a Simulation Example. - Hazim Shakhatreh, Waed Malkawi, Ahmad Sawalmeh, Muhannad Almutiry, Ali Hamdan Alenezi:
Modeling Ground-to-Air Path Loss for Millimeter Wave UAV Networks. - S. M. Sadiq-Ur-Rahman Shifath, Mohammad Faiyaz Khan, Md. Saiful Islam:
A transformer based approach for fighting COVID-19 fake news. - Martin Hofmann, Lorenz Leutgeb, Georg Moser, David Obwaller, Florian Zuleger:
Type-Based Analysis of Logarithmic Amortised Complexity. - Hemant Rathore, Sanjay K. Sahay, Piyush Nikam, Mohit Sewak:
Robust Android Malware Detection System against Adversarial Attacks using Q-Learning. - Miroslav Bures, Bestoun S. Ahmed, Vaclav Rechtberger, Matej Klima, Michal Trnka, Miroslav Jaros, Xavier J. A. Bellekens, Dani Almog, Pavel Herout:
PatrIoT: IoT Automated Interoperability and Integration Testing Framework. - Demetres Kostas, Stephane Aroca-Ouellette, Frank Rudzicz:
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data. - Dimitrios Kritikos, Kostas Karpouzis:
From pixels to notes: a computational implementation of synaesthesia for cultural artefacts. - Wilson Estécio Marcílio-Jr, Danilo Medeiros Eler, Rogério Eduardo Garcia:
Contrastive analysis for scatter plot-based representations of dimensionality reduction. - Robert Atkey, Bruno Gavranovic, Neil Ghani, Clemens Kupke, Jérémy Ledent, Fredrik Nordvall Forsberg:
Compositional Game Theory, Compositionally. 198-214 - Evan Patterson, David I. Spivak, Dmitry Vagner:
Wiring diagrams as normal forms for computing in symmetric monoidal categories. 49-64 - Samuel Alexander, Bill Hibbard:
Measuring Intelligence and Growth Rate: Variations on Hibbard's Intelligence Measure. - Yizhou Zhou, Chong Luo, Xiaoyan Sun, Zheng-Jun Zha, Wenjun Zeng:
VAE^2: Preventing Posterior Collapse of Variational Video Predictions in the Wild. - Shuai Wang, Yuncong Hong, Rui Wang, Qi Hao, Yik-Chung Wu, Derrick Wing Kwan Ng:
Edge Federated Learning Via Unit-Modulus Over-The-Air Computation (Extended Version). - Amirhossein Rajabi, Carsten Witt:
Stagnation Detection with Randomized Local Search. - Kirill Milintsevich, Kairit Sirts:
Enhancing Sequence-to-Sequence Neural Lemmatization with External Resources. - Xudong Lin, Gedas Bertasius, Jue Wang, Shih-Fu Chang, Devi Parikh, Lorenzo Torresani:
VX2TEXT: End-to-End Learning of Video-Based Text Generation From Multimodal Inputs. - Jean-Baptiste Bouvier, Kathleen Xu, Melkior Ornik:
Quantitative Resilience of Linear Driftless Systems. - Kashif Rasul, Calvin Seward, Ingmar Schuster, Roland Vollgraf:
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting. - Thomas Dopierre, Christophe Gravier, Wilfried Logerais:
A Neural Few-Shot Text Classification Reality Check. - David Hägele, Moataz Abdelaal, Ozgur S. Oguz, Marc Toussaint, Daniel Weiskopf:
Visualization of Nonlinear Programming for Robot Motion Planning. - Prashanthi Ramachandran, Shivam Agarwal, Arup Mondal, Aastha Shah, Debayan Gupta:
S++: A Fast and Deployable Secure-Computation Framework for Privacy-Preserving Neural Network Training. - Maximilian Mordig, Riccardo Della Vecchia:
Two-Sided Matching Markets in the ELLIS 2020 PhD Program. - Alessia Bertugli, Stefano Vincenzi, Simone Calderara, Andrea Passerini:
Generalising via Meta-Examples for Continual Learning in the Wild. - Tao Fang, Yu Qi, Gang Pan:
Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN. - Lisa Hutschenreiter, Stefan Haller, Lorenz Feineis, Carsten Rother, Dagmar Kainmüller, Bogdan Savchynskyy:
Fusion Moves for Graph Matching. - Margaret P. Chapman, Riccardo Bonalli, Kevin M. Smith, Insoon Yang, Marco Pavone, Claire J. Tomlin:
Risk-sensitive safety analysis using Conditional Value-at-Risk. - Ziyu Yao, Frank F. Xu, Pengcheng Yin, Huan Sun, Graham Neubig:
Learning Structural Edits via Incremental Tree Transformations. - Yushuang Luo, Xiantao Li, Wenrui Hao:
Projection based model reduction for the immersed boundary method. - Aman Bansal, Preey Shah, Sahil Shah:
Eye: Program Visualizer for CS2. - B. R. Manoj, Meysam Sadeghi, Erik G. Larsson:
Adversarial Attacks on Deep Learning Based Power Allocation in a Massive MIMO Network. - Qi Gu, Dan Wu, Xin Su, Jing Jin, Yifei Yuan, Jiangzhou Wang:
Performance Comparison between Reconfigurable Intelligent Surface and Relays: Theoretical Methods and a Perspective from Operator. - Shutang You:
Use Non-Energy-Curtailment Resources for Primary Frequency Response in Future Low-Inertia Power Grids. - Rujun Han, Luca Soldaini, Alessandro Moschitti:
Modeling Context in Answer Sentence Selection Systems on a Latency Budget. - Hamidreza Habibollahi Najaf Abadi:
Adversarial Machine Learning Attacks on Condition-Based Maintenance Capabilities. - Salman Seyedi, Li Xiong, Shamim Nemati, Gari D. Clifford:
An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms. - Giulio Rossolini, Alessandro Biondi, Giorgio Carlo Buttazzo:
Increasing the Confidence of Deep Neural Networks by Coverage Analysis. - Deborah Weeks, Samuel Rivera:
Domain Adaptation by Topology Regularization. - Christian Boylston, Beatriz Palacios, Plamen Tassev, Amy S. Bruckman:
WallStreetBets: Positions or Ban. - Gil I. Shamir, Wojciech Szpankowski:
Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning. - Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello, Daniel Nikovski, Ruggero Carli, Diego Romeres:
Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application. - Peter Adam Hoeher, Martin Damrath, Sunasheer Bhattacharjee, Max Schurwanz:
On Mutual Information Analysis of Infectious Disease Transmission via Particle Propagation. - Adwait Godbole, Shankara Narayanan Krishna, Roland Meyer:
Safety Verification of Parameterized Systems under Release-Acquire. - Kayvon Mazooji, Roy Dong, Ilan Shomorony:
Private DNA Sequencing: Hiding Information in Discrete Noise. - Derek Gordon Murray, Jiri Simsa, Ana Klimovic, Ihor Indyk:
tf.data: A Machine Learning Data Processing Framework. - Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy:
Self-Attention Meta-Learner for Continual Learning. - Donald Rozinak Beaver:
Security, Fault Tolerance, and Communication Complexity in Distributed Systems. - V. A. Slipko, Yuriy V. Pershin:
Theory of heterogeneous circuits with stochastic memristive devices. - Navneet Garg, Tharmalingam Ratnarajah:
Random-Mode Frank-Wolfe Algorithm for Tensor Completion in Wireless Edge Caching. - Sahraoui Dhelim, Nyothiri Aung, Mohammed Amine Bouras, Huansheng Ning, Erik Cambria:
A Survey on Personality-Aware Recommendation Systems. - Navneet Garg, Mathini Sellathurai, Tharmalingam Ratnarajah:
Reinforcement Learning based Per-antenna Discrete Power Control for Massive MIMO Systems. - Nikolaos Tziavelis, Wolfgang Gatterbauer, Mirek Riedewald:
Beyond Equi-joins: Ranking, Enumeration and Factorization. - Chanho Kim, Fuxin Li, Mazen Alotaibi, James M. Rehg:
Discriminative Appearance Modeling with Multi-track Pooling for Real-time Multi-object Tracking. - Daan Rutten, Debankur Mukherjee:
A New Approach to Capacity Scaling Augmented With Unreliable Machine Learning Predictions. - Navneet Garg, Avinash Rudraksh, Govind Sharma, Tharmalingam Ratnarajah:
Improved Rate-Energy Trade-off For SWIPT Using Chordal Distance Decomposition In Interference Alignment Networks. - Hussam Al Daas, Tyrone Rees, Jennifer A. Scott:
Two-level Nyström-Schur preconditioner for sparse symmetric positive definite matrices. - Navneet Garg, Junkai Zhang, Tharmalingam Ratnarajah:
Rate-Energy Balanced Precoding Design for SWIPT based Two-Way Relay Systems. - Patrick Xia, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, Aaron Steven White, Benjamin Van Durme:
LOME: Large Ontology Multilingual Extraction. - Samuel L. Smith, Benoit Dherin, David G. T. Barrett, Soham De:
On the Origin of Implicit Regularization in Stochastic Gradient Descent. - Jamal El-Ouahi:
Early insights into the Arabic Citation Index. - Willi Menapace, Stéphane Lathuilière, Sergey Tulyakov, Aliaksandr Siarohin, Elisa Ricci:
Playable Video Generation. - Hassan Dashtian, Dhiraj Murthy:
CML-COVID: A Large-Scale COVID-19 Twitter Dataset with Latent Topics, Sentiment and Location Information. - Chengshuai Shi, Cong Shen:
Federated Multi-Armed Bandits. - (Withdrawn) Meta-learning on Spectral Images of Electroencephalogram of Schizophenics.
- Michael Langberg, Michelle Effros:
Beyond Capacity: The Joint Time-Rate Region. - Nima Mohammadi, Jianan Bai, Qiang Fan, Yifei Song, Yang Yi, Lingjia Liu:
Differential Privacy Meets Federated Learning under Communication Constraints. - Rui Wang, Kai Gao, Daniel Nakhimovich, Jingjin Yu, Kostas E. Bekris:
Uniform Object Rearrangement: From Complete Monotone Primitives to Efficient Non-Monotone Informed Search. - Philipp Adis, Nicolas Horst, Mathias Wien:
D3DLO: Deep 3D LiDAR Odometry. - Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz:
Revisiting Non-Specific Syndromic Surveillance. - Milad Shafiee-Ashtiani, Alborz Aghamaleki Sarvestani, Alexander Badri-Spröwitz:
Hybrid leg compliance enables robots to operate with sensorimotor delays and low control update frequencies. - Andrew Churcher, Rehmat Ullah, Jawad Ahmad, Sadaqat ur Rehman, Fawad Masood, Mandar Gogate, Fehaid Alqahtani, Boubakr Nour, William J. Buchanan:
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks. - Pegah Soleiman, Hadi Moradi, Maryam Mahmoudi, Mohyeddin Teymouri, Hamid Reza Pouretemad:
Teaching Turn-Taking Skills to Children with Autism using a Parrot-Like Robot. - Shuaiying Hou, Weiwei Xu, Jinxiang Chai, Congyi Wang, Wenlin Zhuang, Yu Chen, Hujun Bao, Yangang Wang:
A Causal Convolutional Neural Network for Motion Modeling and Synthesis. - Dake Chen, Chunxiao Lin, Peter A. Beerel:
GF-Flush: A GF(2) Algebraic Attack on Secure Scan Chains. - Prasanth Murali, Javier Hernandez, Daniel McDuff, Kael Rowan, Jina Suh, Mary Czerwinski:
AffectiveSpotlight: Facilitating the Communication of Affective Responses from Audience Members during Online Presentations. - Martin Grohe, Benjamin Lucien Kaminski, Joost-Pieter Katoen, Peter Lindner:
Probabilistic Data with Continuous Distributions. - Pedro Colon-Hernandez, Catherine Havasi, Jason B. Alonso, Matthew Huggins, Cynthia Breazeal:
Combining pre-trained language models and structured knowledge. - Bhargav Shivkumar, Enrique Naudon, Lukasz Ziarek:
Putting gradual types to work. - Anil Pacaci, Angela Bonifati, M. Tamer Özsu:
Evaluating Complex Queries on Streaming Graphs. - Nirupam Gupta, Nitin H. Vaidya:
Byzantine Fault-Tolerance in Peer-to-Peer Distributed Gradient-Descent. - Vladimir Druskin, Shari Moskow, Mikhail Zaslavsky:
Lippmann-Schwinger-Lanczos algorithm for inverse scattering problems. - Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs. - Yibing Wang, Hao Wu, Yong Niu, Zhu Han, Bo Ai, Zhangdui Zhong:
Coalition Game Based Full-duplex Popular Content Distribution in mmWave Vehicular Networks. - Sara Ghaemi, Sara Rouhani, Rafael Belchior, Rui Santos Cruz, Hamzeh Khazaei, Petr Musílek:
A Pub-Sub Architecture to Promote Blockchain Interoperability. - Philipp Hoenisch, Lucas Soriano del Pino:
Atomic Swaps between Bitcoin and Monero. - Aida Sheshbolouki, M. Tamer Özsu:
sGrapp: Butterfly Approximation in Streaming Graphs. - Konstantina Arnaoutaki, Efthimios Bothos, Babis Magoutas, Gregoris Mentzas:
Personalization and Recommendation Technologies for MaaS. - Breno Serrano, Thibaut Vidal:
Community Detection in the Stochastic Block Model by Mixed Integer Programming. - Ting Han, Sina Zarrieß:
Enabling Robots to Draw and Tell: Towards Visually Grounded Multimodal Description Generation. - Ziqi Tang, Yutong Wang, Jiebo Luo:
Are Top School Students More Critical of Their Professors? Mining Comments on RateMyProfessor.com. - Travis Gagie:
$r$-indexing Wheeler graphs. - Julius G. Garcia, Mark Gil T. Gangan, Marita N. Tolentino, Marc Ligas, Shirley D. Moraga, Amelia A. Pasilan:
Canvas Adoption Assessment and Acceptance of the Learning Management System on a Web-Based Platform. - Jiansheng Fang, Huazhu Fu, Jiang Liu:
Deep Triplet Hashing Network for Case-based Medical Image Retrieval. - Garen Haddeler:
The Analysis of Discrete-Event System in Autonomous Package Delivery using Legged Robot and Conveyor Belt. - Linh Anh Nguyen:
Logical Characterizations of Fuzzy Bisimulations in Fuzzy Modal Logics over Residuated Lattices. - Muhammad Abdullah Hanif, Muhammad Shafique:
DNN-Life: An Energy-Efficient Aging Mitigation Framework for Improving the Lifetime of On-Chip Weight Memories in Deep Neural Network Hardware Architectures. - Yunfei Yang, Zhen Li, Yang Wang:
On the capacity of deep generative networks for approximating distributions. - Ziyao Xu, Zhaoqin Huang, Yang Yang:
The Hybrid-dimensional Darcy's Law: A Reinterpreted Discrete Fracture Model for Fracture and Barrier Networks on Non-conforming Meshes. - Ziyao Xu, Yang Yang:
The hybrid dimensional representation of permeability tensor: a reinterpretation of the discrete fracture model and its extension on nonconforming meshes. - Cheuk Ting Li:
An Automated Theorem Proving Framework for Information-Theoretic Results. - Haojing Shen, Sihong Chen, Ran Wang, Xizhao Wang:
Adversarial Learning with Cost-Sensitive Classes. - Xi Li, Zehua Wang, Victor C. M. Leung, Hong Ji, Yiming Liu, Heli Zhang:
Blockchain-empowered Data-driven Networks: A Survey and Outlook. - Angtian Wang, Adam Kortylewski, Alan L. Yuille:
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation. - Linhan Yang, Xudong Han, Weijie Guo, Fang Wan, Jia Pan, Chaoyang Song:
Learning-based Optoelectronically Innervated Tactile Finger for Rigid-Soft Interactive Grasping. - Kevin Stephen, Varun Menon:
Re Learning Memory Guided Normality for Anomaly Detection. - Jil Klünder, Regina Hebig, Paolo Tell, Marco Kuhrmann, Joyce Nakatumba-Nabende, Rogardt Heldal, Stephan Krusche, Masud Fazal-Baqaie, Michael Felderer, Marcela Fabiana Genero Bocco, Steffen Küpper, Sherlock A. Licorish, Gustavo López, Fergal McCaffery, Özden Özcan Top, Christian R. Prause, Rafael Prikladnicki, Eray Tüzün, Dietmar Pfahl, Kurt Schneider, Stephen G. MacDonell:
Catching up with Method and Process Practice: An Industry-Informed Baseline for Researchers. - Georgia Frantzeskou, Stephen G. MacDonell, Efstathios Stamatatos, Stelios Georgiou, Stefanos Gritzalis:
The significance of user-defined identifiers in Java source code authorship identification. - Tony Clear, Stephen G. MacDonell:
Understanding Technology Use in Global Virtual Teams: Research Methodologies and Methods. - Lei Qian, Xuefen Chi, Linlin Zhao, Anas Chaaban:
Secure Visible Light Communications via Intelligent Reflecting Surfaces. - Jim Buchan, Ling Li, Stephen G. MacDonell:
Causal Factors, Benefits and Challenges of Test-Driven Development: Practitioner Perceptions. - Vacharapat Mettanant, Jittat Fakcharoenphol:
Fair Resource Allocation for Demands with Sharp Lower Tail Inequalities. - Navchetan Awasthi, Rohit Pardasani, Swati Gupta:
Multi-Threshold Attention U-Net (MTAU) based Model for Multimodal Brain Tumor Segmentation in MRI scans. - Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh:
Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization. - Jingyu Chen, Victoria Kala, Alan Marquez-Razon, Elias Gueidon, David A. B. Hyde, Joseph Teran:
A Momentum-Conserving Implicit Material Point Method for Surface Energies with Spatial Gradients. - Shengsheng Zhang, Yaping Huang, Yun Chen, Liner Yang, Chencheng Wang, Erhong Yang:
Few-Shot Domain Adaptation for Grammatical Error Correction via Meta-Learning. - Chao Qian, Renkai Tan, Wenjing Ye:
An adaptive artificial neural network-based generative design method for layout designs. - Rajesh Kumar, Sudipto Mukherjee:
A note on synthesizing geodesic based contact curves. - Thomas Eizinger, Philipp Hoenisch, Lucas Soriano del Pino:
Open problems in cross-chain protocols. - Shohei Tsuruoka, Daichi Amagata, Shunya Nishio, Takahiro Hara:
Distributed Spatial-Keyword kNN Monitoring for Location-aware Pub/Sub. - David Avis, Charles Jordan:
lrsarith: a small fixed/hybrid arithmetic C library. - Yihan Zhang:
Zero-Error Communication over Adversarial MACs. - Cong T. Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Yong Xiao, Hoang-Anh Pham, Eryk Dutkiewicz, Nguyen Huynh Tuong:
FedChain: Secure Proof-of-Stake-based Framework for Federated-blockchain Systems. - Al-Fahad M. Al-Qadhi, Carey E. Priebe, Hayden S. Helm, Vince Lyzinski:
Subgraph nomination: Query by Example Subgraph Retrieval in Networks. - Quan Feng, Songcan Chen:
Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs. - Giordano Fava, Tommaso Giovannelli, Mauro Messedaglia, Massimo Roma:
Effect of different patient peak arrivals on an Emergency Department via discrete event simulation. - Muhammad Ejaz Ahmed, Hyoungshick Kim, Seyit Camtepe, Surya Nepal:
Peeler: Profiling Kernel-Level Events to Detect Ransomware. - Yi Chen, Yuanbo Li, Chong Han, Ziming Yu, Guangjian Wang:
Channel Measurement and Ray-Tracing-Statistical Hybrid Modeling for Low-Terahertz Indoor Communications. - Yu-Jen Ma, Hong-Han Shuai, Wen-Huang Cheng:
Spatiotemporal Dilated Convolution with Uncertain Matching for Video-based Crowd Estimation. - Abdel Rahman Eldosouky, Tapadhir Das, Anuraag Kotra, Shamik Sengupta:
Finding the Sweet Spot for Data Anonymization: A Mechanism Design Perspective. - Matthew L. Olson, Roli Khanna, Lawrence Neal, Fuxin Li, Weng-Keen Wong:
Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning. - Alexandros Stergiou:
The Mind's Eye: Visualizing Class-Agnostic Features of CNNs. - Wenyuan Wu, Changbo Chen:
A Companion Curve Tracing Method for Rank-deficient Polynomial Systems. - Daniel Torres-Salinas, Nicolás Robinson-García, François van Schalkwyk, Gabriela F. Nane, Pedro Ángel Castillo Valdivieso:
The growth of COVID-19 scientific literature: A forecast analysis of different daily time series in specific settings. - Cheng Hsu, Cheng-Te Li:
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation. - Ramakrishnan Thirumalaisamy, Nishant Nangia, Amneet Pal Singh Bhalla:
Critique on "Volume penalization for inhomogeneous Neumann boundary conditions modeling scalar flux in complicated geometry". - Frank Nielsen, Kazuki Okamura:
On $f$-divergences between Cauchy distributions. - Benjamin Marie, Atsushi Fujita:
Synthesizing Monolingual Data for Neural Machine Translation. - Yi-Ju Lu, Cheng-Te Li:
AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting. - Shiyu Jin, Xinghao Zhu, Changhao Wang, Masayoshi Tomizuka:
Contact Pose Identification for Peg-in-Hole Assembly under Uncertainties. - Shunpu Tang, Wenqi Zhou, Lunyuan Chen, Lijia Lai, Junjuan Xia, Liseng Fan:
Battery-constrained Federated Edge Learning in UAV-enabled IoT for B5G/6G Networks. - Amin Shahraki, Mahmoud Abbasi, Md. Jalil Piran, Mingzhe Chen, Shuguang Cui:
A Comprehensive Survey on 6G Networks: Applications, Core Services, Enabling Technologies, and Future Challenges. - Niki Kilbertus:
Beyond traditional assumptions in fair machine learning. - Rémi Petitpierre:
Neural networks for semantic segmentation of historical city maps: Cross-cultural performance and the impact of figurative diversity. - Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Xiang Ruan:
Self-Supervised Representation Learning for RGB-D Salient Object Detection. - Ashkan Jasour, Allen Wang, Brian C. Williams:
Moment-Based Exact Uncertainty Propagation Through Nonlinear Stochastic Autonomous Systems. - Vittorio Mazzia, Francesco Salvetti, Marcello Chiaberge:
Efficient-CapsNet: Capsule Network with Self-Attention Routing. - Matthias Pezzutto, Luca Schenato, Subhrakanti Dey:
Transmission Power Allocation for Remote Estimation with Multi-packet Reception Capabilities. - Thom S. Badings, Arnd Hartmanns, Nils Jansen, Marnix Suilen:
Balancing Wind and Batteries: Towards Predictive Verification of Smart Grids. - Michael Ruderman:
One-parameter robust global frequency estimator for amplitude-varying and noisy oscillations. - Thomas Chaffre, Julien Moras, Adrien Chan-Hon-Tong, Julien Marzat, Karl Sammut, Gilles Le Chenadec, Benoit Clement:
Learning-based vs Model-free Adaptive Control of a MAV under Wind Gust. - Wasim Huleihel, Soumyabrata Pal, Ofer Shayevitz:
Learning User Preferences in Non-Stationary Environments. - David Lindner, Kyle Matoba, Alexander Meulemans:
Challenges for Using Impact Regularizers to Avoid Negative Side Effects. - Michaël Aupetit:
Aquanims: Area-Preserving Animated Transitions in Statistical Data Graphics based on a Hydraulic Metaphor. - Bjørn Ivar Teigen, Neil Davies, Kai Olav Ellefsen, Tor Skeie, Jim Tørresen:
A Model of WiFi Performance With Bounded Latency. - Anna Pandolfi, Kerstin Weinberg, Michael Ortiz:
A comparative accuracy and convergence study of eigenerosion and phase-field models of fracture. - Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai:
Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification. - Sujoy Sikdar, Xiaoxi Guo, Haibin Wang, Lirong Xia, Yongzhi Cao:
Sequential Mechanisms for Multi-type Resource Allocation. - Vojtech Franc, Daniel Prusa, Václav Vorácek:
Optimal strategies for reject option classifiers. - Aviram Imber, Benny Kimelfeld:
Probabilistic Inference of Winners in Elections by Independent Random Voters. - Anders Sundnes Løvlie, Karin Ryding, Jocelyn Spence, Paulina Rajkowska, Annika Waern, Tim Wray, Steve Benford, William Preston, Emily-Clare Thorn:
Playing games with Tito: Designing hybrid museum experiences for critical play. - Zhichao Fang, Jie Zhao, Hong Li, Yang Liu:
Finite Volume Element Methods for Two-Dimensional Time Fractional Reaction-Diffusion Equations on Triangular Grids. - Anay Majee, Kshitij Agrawal, Anbumani Subramanian:
Few-Shot Learning for Road Object Detection. - Yifan Wu, Min Gao, Min Zeng, Feiyang Chen, Min Li, Jie Zhang:
BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions. - Ramkumar Natarajan, Howie Choset, Maxim Likhachev:
Interleaving Graph Search and Trajectory Optimization for Aggressive Quadrotor Flight. - Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang:
Graph Embedding for Recommendation against Attribute Inference Attacks. - Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong:
Out-of-Town Recommendation with Travel Intention Modeling. - Natalie C. Behague, Anthony Bonato, Melissa A. Huggan, Rehan Malik, Trent G. Marbach:
The iterated local transitivity model for hypergraphs. - Felix Frank, Alexandros Paraschos, Patrick van der Smagt, Botond Cseke:
Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation. - Jian-Jia Weng, Fady Alajaji, Tamás Linder:
An Information Bottleneck Problem with Rényi's Entropy. - Alexandre Sedoglavic, Alexey V. Smirnov:
The tensor rank of 5x5 matrices multiplication is bounded by 98 and its border rank by 89. - Lukas Einkemmer, Ilon Joseph:
A mass, momentum, and energy conservative dynamical low-rank scheme for the Vlasov equation. - Fan-Keng Sun, Christopher I. Lang, Duane S. Boning:
Adjusting for Autocorrelated Errors in Neural Networks for Time Series Regression and Forecasting. - Asit Kumar Mishra, Federico Tartarini, Zuraimi Sultan, Stefano Schiavon:
Automated decontamination of workspaces using UVC coupled with occupancy detection. - Yakup Kutlu, Zülfü Alanoglu, Ahmet Gökçen, Mustafa Yeniad:
Raspberry Pi Based Intelligent Robot that Recognizes and Places Puzzle Objects. - Adrian Ebert, Peter Kritzer, Onyekachi Osisiogu, Tetiana Stepaniuk:
Construction of good polynomial lattice rules in weighted Walsh spaces by an alternative component-by-component construction. - Tareq Si Salem, Giovanni Neglia, Stratis Ioannidis:
No-Regret Caching via Online Mirror Descent. - Carlo A. Furia, Richard Torkar, Robert Feldt:
Applying Bayesian Analysis Guidelines to Empirical Software Engineering Data: The Case of Programming Languages and Code Quality. - Shun Zhang, Benfei Duan, Zhili Chen, Hong Zhong:
On the differential privacy of dynamic location obfuscation with personalized error bounds. - Jinyong Chen, Reiner Dojen, Anca Jurcut:
Detection and Prevention of New Attacks for ID-based Authentication Protocols. - Tatsuya Abe, Daisuke Kimura:
A Symmetric Lambda-Calculus Corresponding to the Negation-Free Bilateral Natural Deduction. - Mostafa Abdou, Ana Valeria González-Garduño, Mariya Toneva, Daniel Hershcovich, Anders Søgaard:
Does injecting linguistic structure into language models lead to better alignment with brain recordings? - Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata:
Open World Compositional Zero-Shot Learning. - Thomas Johnson, Eiman Kanjo, Kieran Woodward:
DigitalExposome: Quantifying the Urban Environment Influence on Wellbeing based on Real-Time Multi-Sensor Fusion and Deep Belief Network. - Ido Freeman, Kun Zhao, Anton Kummert:
Polynomial Trajectory Predictions for Improved Learning Performance. - Rafal Graczyk, Marcus Völp, Paulo Jorge Esteves Veríssimo:
EphemeriShield - defence against cyber-antisatellite weapons. - Srikanth Raju Mudduluru, Mahmoud Chizari:
Quarter and Full Car Models Optimisation of Passive and Active Suspension System Using Genetic Algorithm. - Mengzhao Wang, Xiaoliang Xu, Qiang Yue, Yuxiang Wang:
A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search. - Mehran Hossein Zadeh Bazargani, Arjun Pakrashi, Brian Mac Namee:
The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection. - James Ravenscroft, Arie Cattan, Amanda Clare, Ido Dagan, Maria Liakata:
CD2CR: Co-reference Resolution Across Documents and Domains. - Tristan Cazenave, Swann Legras, Véronique Ventos:
Optimizing $αμ$. - Leshem Choshen, Omri Abend:
Transition based Graph Decoder for Neural Machine Translation. - Matteo Nerini, David Palma:
5G Network Slicing for Wi-Fi Networks. - Peipei Lu, Andreas Rupp, Guido Kanschat:
Homogeneous multigrid for embedded discontinuous Galerkin methods. - Guangming Shi, Dahua Gao, Xiaodan Song, Jingxuan Chai, Minxi Yang, Xuemei Xie, Leida Li, Xuyang Li:
A new communication paradigm: from bit accuracy to semantic fidelity. - Yun-Han Li, I-Hsiang Wang:
Combinatorial Quantitative Group Testing with Adversarially Perturbed Measurements. - Eike Fokken, Simone Göttlich:
On the relation of powerflow and Telegrapher's equations: continuous and numerical Lyapunov stability. - Feng Xu, Matthew W. Morency, Sergiy A. Vorobyov:
DOA Estimation for Transmit Beamspace MIMO Radar via Tensor Decomposition with Vandermonde Factor Matrix. - Thanh-Chinh Nguyen, Van Nha Nguyen:
NLPBK at VLSP-2020 shared task: Compose transformer pretrained models for Reliable Intelligence Identification on Social network. - Ya-Chun Liang, Chung-Shou Liao, Xinping Yi:
Topological Interference Management with Adversarial Perturbation. - Héctor Cadavid, Vasilios Andrikopoulos, Paris Avgeriou, P. Chris Broekema:
System- and Software-level Architecting Harmonization Practices for Systems-of-Systems - An exploratory case study on a long-running large-scale scientific instrument. - Benjamin Kiefer, Martin Messmer, Andreas Zell:
Leveraging domain labels for object detection from UAVs. - Roman Andriushchenko, Milan Ceska, Sebastian Junges, Joost-Pieter Katoen:
Inductive Synthesis for Probabilistic Programs Reaches New Horizons. - Theo W. Costain, Victor Adrian Prisacariu:
Towards Generalising Neural Implicit Representations. - Tao Wang, Xiangrui Yang, Gianni Antichi, Anirudh Sivaraman, Aurojit Panda:
Isolation mechanisms for packet-processing pipelines. - Martin Messmer, Benjamin Kiefer, Andreas Zell:
Gaining Scale Invariance in UAV Bird's Eye View Object Detection by Adaptive Resizing. - Cong Fang, Hangfeng He, Qi Long, Weijie J. Su:
Layer-Peeled Model: Toward Understanding Well-Trained Deep Neural Networks. - Matthew Dale, Richard F. L. Evans, Sarah Jenkins, Simon O'Keefe, Angelika Sebald, Susan Stepney, Fernando Torre, Martin Trefzer:
Reservoir Computing with Thin-film Ferromagnetic Devices. - Ville Vakkuri, Marianna Jantunen, Erika Halme, Kai-Kristian Kemell, Anh Nguyen-Duc, Tommi Mikkonen, Pekka Abrahamsson:
Time for AI (Ethics) Maturity Model Is Now. - Jonas Fritzsch, Marvin Wyrich, Justus Bogner, Stefan Wagner:
Résumé-Driven Development: A Definition and Empirical Characterization. - Hong Xing, Osvaldo Simeone, Suzhi Bi:
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis. - Tim Draws, Zoltán Szlávik, Benjamin Timmermans, Nava Tintarev, Kush R. Varshney, Michael Hind:
Disparate Impact Diminishes Consumer Trust Even for Advantaged Users. - Emre Cihan Ates, Erkan Bostanci, Mehmet Serdar Güzel:
Machine Translation, Sentiment Analysis, Text Similarity, Topic Modelling, and Tweets: Understanding Social Media Usage Among Police and Gendarmerie Organizations. - Emre Cihan Ates, Erkan Bostanci, Mehmet Serdar Güzel:
Comparative Performance of Machine Learning Algorithms in Cyberbullying Detection: Using Turkish Language Preprocessing Techniques. - Emma Benjaminson, Rebecca E. Taylor, Matthew J. Travers:
Predicting Nanorobot Shapes via Generative Models. - Alexander A. Davydov, Stefano Marcugini, Fernanda Pambianco:
On the weight distribution of the cosets of MDS codes. - Luis Felipe Castaño, Eduardo Fidalgo, Enrique Alegre, Deisy Chaves, Manuel Sánchez-Paniagua:
State of the Art: Content-based and Hybrid Phishing Detection. - Samarth Mishra, Kate Saenko, Venkatesh Saligrama:
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency. - Max Lutz, Thomas Meurer:
Optimal Trajectory Planning and Model Predictive Control of Underactuated Marine Surface Vessels using a Flatness-Based Approach. - Osman Ramadan, James Withers, Douglas Orr:
N-grams Bayesian Differential Privacy. - Leif Hancox-Li, I. Elizabeth Kumar:
Epistemic values in feature importance methods: Lessons from feminist epistemology. - Renshen Wang, Yasuhisa Fujii, Ashok C. Popat:
General-Purpose OCR Paragraph Identification by Graph Convolution Networks. - Zihan Zhang, Jiaqi Yang, Xiangyang Ji, Simon S. Du:
Variance-Aware Confidence Set: Variance-Dependent Bound for Linear Bandits and Horizon-Free Bound for Linear Mixture MDP. - Julia Siekiera, Stefan Kramer:
Deep Unsupervised Identification of Selected SNPs between Adapted Populations on Pool-seq Data. - Victor Chernozhukov, Whitney Newey, Rahul Singh, Vasilis Syrgkanis:
Adversarial Estimation of Riesz Representers. - Suresh Kondati Natarajan, Miguel A. Caro:
Particle Swarm Based Hyper-Parameter Optimization for Machine Learned Interatomic Potentials. - Junda Xiong, Xin Cai, Jinglai Li:
Clustered active-subspace based local Gaussian Process emulator for high-dimensional and complex computer models. - Shiv Shankar, Daniel Sheldon, Tao Sun, John Pickering, Thomas G. Dietterich:
Three-quarter Sibling Regression for Denoising Observational Data. - Kimberly L. Stachenfeld, Jonathan Godwin, Peter W. Battaglia:
Graph Networks with Spectral Message Passing. - Koki Satsukawa, Kentaro Wada, David P. Watling:
Dynamic system optimal traffic assignment with atomic users: Convergence and stability. - Alena Gusakov, Bhavik Mehta, Kyle A. Miller:
Formalizing Hall's Marriage Theorem in Lean. - Alexander Lerch:
Audio Content Analysis. - Steven Snyder, Pan Zhao, Naira Hovakimyan:
L1 Adaptive Control for Switching Reference Systems: Application to Flight Control. - Pablo Navarrete Michelini, Wenbin Chen, Hanwen Liu, Dan Zhu, Xingqun Jiang:
Multi-Grid Back-Projection Networks. - V. V. N. Sriram Malladi, Mohammad I. Albakri, Manu Krishnan, Serkan Gugercin, Pablo A. Tarazaga:
Estimating Experimental Dispersion Curves from Steady-State Frequency Response Measurements. - Mohammad Naim Rastgoo, Bahareh Nakisa, Andry Rakotonirainy, Frédéric Maire, Vinod Chandran:
ECG-Based Driver Stress Levels Detection System Using Hyperparameter Optimization. - Hrithika Dodia:
Detecting residues of cosmic events using residual neural network. - (Withdrawn) Sequential Convex Programming for Collaboration of Connected and Automated Vehicles.
- Dawei Li, Ruoyu Sun:
On a Faster R-Linear Convergence Rate of the Barzilai-Borwein Method. - Ryan L. Mann:
Simulating Quantum Computations with Tutte Polynomials. - Jun Ma:
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike? - Jinshan Zeng, Yixuan Zha, Ke Ma, Yuan Yao:
On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization. - Erdong Guo, David Draper:
The Bayesian Method of Tensor Networks. - Joshua Cooper, Grant Fickes:
Recurrence Ranks and Moment Sequences. - Shahabeddin Sotudian, Mohammad Hossein Fazel Zarandi:
Interval Type-2 Enhanced Possibilistic Fuzzy C-Means Clustering for Gene Expression Data Analysis. - Jiawei Xue, Nan Jiang, Senwei Liang, Qiyuan Pang, Satish V. Ukkusuri, Jianzhu Ma:
Quantifying spatial homogeneity of urban road networks via graph neural networks. - Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell:
TenIPS: Inverse Propensity Sampling for Tensor Completion. - Pingyi Fan:
New-Type Hoeffding's Inequalities and Application in Tail Bounds. - Jifei Miao, Kit Ian Kou:
Quaternion higher-order singular value decomposition and its applications in color image processing. - Siyuan Shen, Zi Wang, Ping Liu, Zhengqing Pan, Ruiqian Li, Tian Gao, Shiying Li, Jingyi Yu:
Non-line-of-Sight Imaging via Neural Transient Fields. - Sam D. Allen, Edmund K. Burke, Jakub Marecek:
A space-indexed formulation of packing boxes into a larger box. - Amirreza Mahbod, Gerald Schaefer, Benjamin Bancher, Christine Löw, Georg Dorffner, Rupert Ecker, Isabella Ellinger:
CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological Images. - Liang Xu, Mustafa Sahin Turan, Baiwei Guo, Giancarlo Ferrari-Trecate:
Non-conservative Design of Robust Tracking Controllers Based on Input-output Data. - Adriano Pinto, Sérgio Pereira, Raphael Meier, Roland Wiest, Victor Alves, Mauricio Reyes, Carlos A. Silva:
Combining unsupervised and supervised learning for predicting the final stroke lesion. - Carlos A. Silva, Adriano Pinto, Sérgio Pereira, Ana Lopes:
Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation. - Florian Klimm, Nick S. Jones, Michael T. Schaub:
Modularity maximisation for graphons. - Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Kenton M. Sanders, Salah A. Baker:
RV-GAN : Retinal Vessel Segmentation from Fundus Images using Multi-scale Generative Adversarial Networks. - Wenbo Li, Abner J. Salgado:
Time fractional gradient flows: Theory and numerics. - Kai Fukami, Romit Maulik, Nesar Ramachandra, Koji Fukagata, Kunihiko Taira:
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning. - Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo:
Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations. - Nick James:
Dynamics, behaviours, and anomaly persistence in cryptocurrencies and equities surrounding COVID-19. - Ningrui Zhao, Jinwei Lu:
Neural network algorithm and its application in temperature control of distillation tower. - Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu:
RegNet: Self-Regulated Network for Image Classification. - Uzi Pereg:
Bosonic Dirty Paper Coding. - Sanket Kamthe, Samuel Assefa, Marc Peter Deisenroth:
Copula Flows for Synthetic Data Generation. - Samad Khabbazi Oskouei, Stefano Mancini, Andreas J. Winter:
Capacities of Gaussian Quantum Channels with Passive Environment Assistance. - Kevin M. Byrnes:
Symmetry Implies Isomorphism for Certain Maximum Length Circuit Codes. - Songting Shi:
A Tutorial on the Mathematical Model of Single Cell Variational Inference. - Pavel Chvykov, Thomas A. Berrueta, Akash Vardhan, William Savoie, Alexander Samland, Todd D. Murphey, Kurt Wiesenfeld, Daniel I. Goldman, Jeremy L. England:
Low rattling: A predictive principle for self-organization in active collectives. - Maxwell W. Libbrecht, Rachel C. W. Chan, Michael M. Hoffman:
Segmentation and genome annotation algorithms. - Tanvir Mahmud, Md. Jahin Alam, Sakib Chowdhury, Shams Nafisa Ali, Md Maisoon Rahman, Shaikh Anowarul Fattah, Mohammad Saquib:
CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans. - Adrian S. Lewis, Tonghua Tian:
The structure of conservative gradient fields. - Ted Hurley, Barry Hurley:
Matrix constructs. - Tanvir Mahmud, A. Q. M. Sazzad Sayyed, Shaikh Anowarul Fattah, Sun-Yuan Kung:
A Novel Multi-Stage Training Approach for Human Activity Recognition from Multimodal Wearable Sensor Data Using Deep Neural Network. - Sridhar Ravula:
Bankruptcy prediction using disclosure text features. - Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey. - (Withdrawn) Transversal achievement game on a square grid.
- Fanzhou Wang, Chenxing Wang, Qingze Guan:
Single-shot fringe projection profilometry based on Deep Learning and Computer Graphics. - Babak Nouri-Moghaddam, Mehdi Ghazanfari, Mohammad Fathian:
A Novel Bio-Inspired Hybrid Multi-Filter Wrapper Gene Selection Method with Ensemble Classifier for Microarray Data. - Rahul Bhadani:
AutoEncoder for Interpolation. - Abdul-Lateef Haji-Ali, Håkon Hoel, Raúl Tempone:
A simple approach to proving the existence, uniqueness, and strong and weak convergence rates for a broad class of McKean-Vlasov equations. - Pavel E. Dvurechensky, Mathias Staudigl, Shimrit Shtern:
First-Order Methods for Convex Optimization. - Jan Novotný, Karel Adámek, Wes Armour:
Implementing CUDA Streams into AstroAccelerate - A Case Study. - Jirí Adámek, Liang-Ting Chen, Stefan Milius, Henning Urbat:
Reiterman's Theorem on Finite Algebras for a Monad. - Gunnar Brinkmann, Jan Goedgebeur, Brendan D. McKay:
The Minimality of the Georges-Kelmans Graph. - Luan S. Prado, Thiago G. Ritto:
Data driven Dirichlet sampling on manifolds. - Malte Krack:
Nonlinear modal analysis of nonconservative systems: Extension of the periodic motion concept. - Chaoning Zhang, Adil Karjauv, Philipp Benz, In So Kweon:
Towards Robust Data Hiding Against (JPEG) Compression: A Pseudo-Differentiable Deep Learning Approach. - Kaiqing Zhang, Xiangyuan Zhang, Bin Hu, Tamer Basar:
Derivative-Free Policy Optimization for Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity. - Thi Lan Dinh, Ngoc Hoang Anh Mai:
Comparing different subgradient methods for solving convex optimization problems with functional constraints. - Sung-Chan Choi:
Counter-terrorism analysis using cooperative game theory. - Axel Parmentier, Vincent T'kindt:
Learning to solve the single machine scheduling problem with release times and sum of completion times. - Jason M. Altschuler, Enric Boix-Adserà:
Wasserstein barycenters are NP-hard to compute. - Pritish Kamath, Akilesh Tangella, Danica J. Sutherland, Nathan Srebro:
Does Invariant Risk Minimization Capture Invariance? - Deep Nath, Saptarshi Sinha, Soumen Roy:
Scale-free networks may not necessarily witness cooperation. - Jeffrey M. Ede:
Advances in Electron Microscopy with Deep Learning. - Frank Schäfer, Pavel Sekatski, Martin Koppenhöfer, Christoph Bruder, Michal Kloc:
Control of Stochastic Quantum Dynamics with Differentiable Programming. - Eric Guzman, Joel Meyers:
Reconstructing Patchy Reionization with Deep Learning. - Stephen Doro, Matthew A. Herman:
Discovering genetic networks using compressive sensing. - Xi Chen, Yanjun Han, Yining Wang:
Adversarial Combinatorial Bandits with General Non-linear Reward Functions. - Ziang Chen, Yingzhou Li, Jianfeng Lu:
On the global convergence of randomized coordinate gradient descent for non-convex optimization. - Sudipta Mallik:
A New Formula for the Minimum Distance of an Expander Code. - Hao Wang, Xiangyu Yang, Jiashan Wang:
Effcient Projection Onto the Nonconvex 𝓁p-ball. - Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama:
A Symmetric Loss Perspective of Reliable Machine Learning. - Katsusuke Nabeshima, Shinichi Tajima:
Methods for computing b-functions associated with μ-constant deformations - Case of inner modality 2 -. - Jiequn Han, Ruimeng Hu:
Recurrent Neural Networks for Stochastic Control Problems with Delay. - Guillaume O. Berger, Raphaël M. Jungers, Zheming Wang:
Chance-constrained quasi-convex optimization with application to data-driven switched systems control. - Minh Ha Quang:
Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings. - Jakob Raymaekers, Wouter Verbeke, Tim Verdonck:
Weight-of-evidence 2.0 with shrinkage and spline-binning. - Xiang Li, Zhihua Zhang:
Delayed Projection Techniques for Linearly Constrained Problems: Convergence Rates, Acceleration, and Applications. - Marcus Haywood-Alexander, Nikolaos Dervilis, Keith Worden, Elizabeth J. Cross, Robin S. Mills, Timothy J. Rogers:
Structured Machine Learning Tools for Modelling Characteristics of Guided Waves. - Pierre-Cyril Aubin-Frankowski, Zoltán Szabó:
Handling Hard Affine SDP Shape Constraints in RKHSs. - Vikas Kumar Anand, Sanjeev Grampurohit, Pranav Aurangabadkar, Avinash Kori, Mahendra Khened, Raghavendra S. Bhat, Ganapathy Krishnamurthi:
Brain Tumor Segmentation and Survival Prediction using Automatic Hard mining in 3D CNN Architecture. - Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck:
Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction. - Burak Çakmak, Manfred Opper:
Exact solution to the random sequential dynamics of a message passing algorithm. - Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh:
Sequential Choice Bandits with Feedback for Personalizing users' experience. - Éric Duchêne, Marc Heinrich, Richard J. Nowakowski, Aline Parreau:
Partizan Subtraction Games. - Nantheera Anantrasirichai, David Bull:
Contextual colorization and denoising for low-light ultra high resolution sequences. - Mohammad A. Nazari, Gonzalo Seco-Granados, Pontus Johannisson, Henk Wymeersch:
3D Orientation Estimation with Multiple 5G mmWave Base Stations. - Muhammad Uzair Zahid, Serkan Kiranyaz, Turker Ince, Ozer Can Devecioglu, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Anas M. Tahir, Moncef Gabbouj:
Robust R-Peak Detection in Low-Quality Holter ECGs using 1D Convolutional Neural Network. - Le Dinh Van Khoa, Zhiyuan Chen:
Incremental learning with online SVMs on LiDAR sensory data. - Guanxiong Shen, Junqing Zhang, Alan Marshall, Linning Peng, Xianbin Wang:
Radio Frequency Fingerprint Identification for LoRa Using Spectrogram and CNN. - Cheryl J. Flynn, Subhabrata Majumdar, Ritwik Mitra:
Evaluating Fairness in the Presence of Spatial Autocorrelation. - Kuo Yang, Emad A. Mohammed:
A Review of Artificial Intelligence Technologies for Early Prediction of Alzheimer's Disease. - Kilian Fatras, Younes Zine, Szymon Majewski, Rémi Flamary, Rémi Gribonval, Nicolas Courty:
Minibatch optimal transport distances; analysis and applications. - Evelyn Cueva, Alexander Meaney, Samuli Siltanen, Matthias J. Ehrhardt:
Synergistic Multi-spectral CT Reconstruction with Directional Total Variation. - Elliott Skomski, Soumya Vasisht, Colby Wight, Aaron Tuor, Ján Drgona, Draguna L. Vrabie:
Constrained Block Nonlinear Neural Dynamical Models. - Hassan Raji, Muhammad Tayyab, Jianye Sui, Seyed Reza Mahmoodi, Mehdi Javanmard:
Biosensors and Machine Learning for Enhanced Detection, Stratification, and Classification of Cells: A Review. - Yifan Jiang, Jinfeng Li:
Convergence of the Deep BSDE method for FBSDEs with non-Lipschitz coefficients. - Wei Wang, Xiang-Gen Xia, Chuanjiang He, Zemin Ren, Jian Lu, Tianfu Wang, Baiying Lei:
A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions. - Saman Cyrus, Laurent Lessard:
Generalized Necessary and Sufficient Robust Boundedness Results for Feedback Systems. - Rohan Saha:
Comparing Classification Models on Kepler Data. - Jean-Luc Baril, Sergey Kirgizov:
Transformation à la Foata for special kinds of descents and excedances. - Eduard Rohan, Robert Cimrman:
Modelling wave dispersion in fluid saturating periodic scaffolds. - Giacomo Albi, Michael Herty, Dante Kalise, Chiara Segala:
Moment-Driven Predictive Control of Mean-Field Collective Dynamics. - Rong Wang, Wei Feng, Qianrong Zhang, Feiping Nie, Zhen Wang, Xuelong Li:
Ensemble and Random Collaborative Representation-Based Anomaly Detector for Hyperspectral Imagery. - Ansgar Steland, Bart E. Pieters:
Cross-Validation and Uncertainty Determination for Randomized Neural Networks with Applications to Mobile Sensors. - Ibai Aedo, Uwe Grimm, Yasushi Nagai, Petra Staynova:
On long arithmetic progressions in binary Morse-like words. - Jeffrey Galkowski, Pierre Marchand, Euan A. Spence:
Eigenvalues of the truncated Helmholtz solution operator under strong trapping. - Alexander Belton, Dominique Guillot, Apoorva Khare, Mihai Putinar:
Hirschman-Widder densities. - Zoë Holmes, Kunal Sharma, Marco Cerezo, Patrick J. Coles:
Connecting ansatz expressibility to gradient magnitudes and barren plateaus. - Ding Ma, Dominique Orban, Michael A. Saunders:
A Julia implementation of Algorithm NCL for constrained optimization. - Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu:
Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks. - Giuseppe Corrente:
Translation of Quantum Circuits into Quantum Turing Machines for Deutsch and Deutsch-Jozsa Problems. - Vijay Balasubramanian, Matthew DeCross, Arjun Kar, Cathy Li, Onkar Parrikar:
Complexity Growth in Integrable and Chaotic Models. - Mark Allen, Blake Barker, Jason Gardiner, Mingyan Zhao:
Minimizers of a free boundary problem on three-dimensional cones. - Farnoush Ronaghi, Mohammad Salimibeni, Farnoosh Naderkhani, Arash Mohammadi:
COVID19-HPSMP: COVID-19 Adopted Hybrid and Parallel Deep Information Fusion Framework for Stock Price Movement Prediction. - Huan Qing, Jingli Wang:
Bipartite mixed membership stochastic blockmodel. - Daniel J. Clouse:
A Note on Rough Set Algebra and Core Regular Double Stone Algebras. - (Withdrawn) Analyzing the Stability of Non-coplanar Circumbinary Planets using Machine Learning.
- Fei Ma, Ping Wang:
Scale-free tree network with an ultra-large diameter. - Matthew Davidow, David S. Matteson:
Copula Quadrant Similarity for Anomaly Scores. - Boris Hayete, Fred Gruber, Anna Decker, Raymond Yan:
Identification of Latent Variables From Graphical Model Residuals. - Erdong Guo, David Draper:
Infinitely Wide Tensor Networks as Gaussian Process. - Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng:
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation. - Hongming Luo, Guangsen Liao, Xianxu Hou, Bozhi Liu, Fei Zhou, Guoping Qiu:
VHS to HDTV Video Translation using Multi-task Adversarial Learning. - Mitchell Krock, William Kleiber, Dorit Hammerling, Stephen Becker:
Modeling massive multivariate spatial data with the basis graphical lasso. - Antoine Guillot, Valentin Thorey:
RobustSleepNet: Transfer learning for automated sleep staging at scale. - Marco Grassia, Manlio De Domenico, Giuseppe Mangioni:
Machine learning dismantling and early-warning signals of disintegration in complex systems. - Hsin-Yuan Huang, Richard Kueng, John Preskill:
Information-theoretic bounds on quantum advantage in machine learning. - Marcello D'Orazio:
Distances with mixed type variables some modified Gower's coefficients. - Stephen DiAdamo, Marco Ghibaudi, James Cruise:
Distributed Quantum Computing and Network Control for Accelerated VQE. - Ana B. Ruescas, Martin Hieronymi, Sampsa S. Koponen, Kari Y. Kallio, Gustau Camps-Valls:
Retrieval of Coloured Dissolved Organic Matter with Machine Learning Methods. - Nicholas P. Baskerville, Jonathan P. Keating, Francesco Mezzadri, Joseph Najnudel:
A spin-glass model for the loss surfaces of generative adversarial networks. - Chiang-Jen Peng, Yun-Ju Chan, Cheng Yu, Syu-Siang Wang, Yu Tsao, Tai-Shih Chi:
Attention-based multi-task learning for speech-enhancement and speaker-identification in multi-speaker dialogue scenario. - Julia Ann Jose, Trae Waggoner, Sudarsan Manikandan:
Continuous Glucose Monitoring Prediction. - Yiming Xu, Diego Klabjan:
Open Set Domain Adaptation by Extreme Value Theory. - Louis Falissard, Karim Bounebache, Grégoire Rey:
Learning a binary search with a recurrent neural network. A novel approach to ordinal regression analysis. - Lior Shamir:
Automatic identification of outliers in Hubble Space Telescope galaxy images. - Rishabh Dixit, Waheed U. Bajwa:
Boundary Conditions for Linear Exit Time Gradient Trajectories Around Saddle Points: Analysis and Algorithm. - Sandeep Ranjan:
Analyzing the response to TV serials retelecast during COVID19 lockdown in India. - Arno Blaas, Stephen J. Roberts:
The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks. - Khairunnisa Ibrahim, Samuel Khodursky, Taha Yasseri:
Gender Imbalance and Spatiotemporal Patterns of Contributions to Citizen Science Projects: the case of Zooniverse. - Karan N. Chadha, Gary Cheng, John C. Duchi:
Accelerated, Optimal, and Parallel: Some Results on Model-Based Stochastic Optimization. - Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman, Aravinthan D. T. Samuel, Nir Shavit:
Learning Guided Electron Microscopy with Active Acquisition. - Lena Collienne, Kieran Elmes, Mareike Fischer, David Bryant, Alex Gavryushkin:
The Geometry of the space of Discrete Coalescent Trees. - Yury Grabovsky:
Reconstructing Stieltjes functions from their approximate values: a search for a needle in a hay stack. - Armin Eftekhari, Peyman Mohajerin Esfahani:
The Nonconvex Geometry of Linear Inverse Problems. - Kelly Ramsay, Shoja'eddin Chenouri:
Differentially private depth functions and their associated medians. - Baran Ataman, Mert Seker, David McKee:
Single Image Super-Resolution. - Yukio Hayashi, Atsushi Tanaka, Jun Matsukubo:
More Tolerant Reconstructed Networks by Self-Healing against Attacks in Saving Resource. - Tao Huang, Songjiang Li, Xu Jia, Huchuan Lu, Jianzhuang Liu:
Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images. - Tara Yasmin Mina, Grace Xingxin Gao:
Learning Low-Correlation GPS Spreading Codes with a Policy Gradient Algorithm. - Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang:
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. - Ali Nawaz, Syed Muhammad Anwar, Rehan Liaqat, Javid Iqbal, Ulas Bagci, Muhammad Majid:
Deep Convolutional Neural Network based Classification of Alzheimer's Disease using MRI data. - Kui Zhu, Yutao Tang:
Primal-dual ε-Subgradient Method for Distributed Optimization. - Priyansi, Biswaroop Bhattacharjee, Junaid Rahim:
Predicting Semen Motility using three-dimensional Convolutional Neural Networks. - Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire J. Tomlin:
The Computation of Approximate Generalized Feedback Nash Equilibria. - Tim Prangemeier, Christian Wildner, Maleen Hanst, Heinz Koeppl:
Maximizing Information Gain for the Characterization of Biomolecular Circuits. - Zun Wang, Chong Wang, Sibo Zhao, Shiqiao Du, Yong Xu, Bing-Lin Gu, Wenhui Duan:
Symmetry-adapted graph neural networks for constructing molecular dynamics force fields. - Paris V. Giampouras, Athanasios A. Rontogiannis, Eleftherios Kofidis:
A Bayesian Approach to Block-Term Tensor Decomposition Model Selection and Computation. - Federico Ferrari, Ole Sigmund, James K. Guest:
Topology Optimization with linearized buckling criteria in 250 lines of Matlab. - Anna M. Krol, Aritra Sarkar, Imran Ashraf, Zaid Al-Ars, Koen Bertels:
Efficient decomposition of unitary matrices in quantum circuit compilers. - Constance Beguier, Jean Ogier du Terrail, Iqraa Meah, Mathieu Andreux, Eric W. Tramel:
Differentially Private Federated Learning for Cancer Prediction. - Ziyi Liu:
A review for Tone-mapping Operators on Wide Dynamic Range Image. - R. Vilela Mendes:
Modular quantum computing and quantum-like devices. - Bobak Toussi Kiani, Giacomo De Palma, Milad Marvian, Zi-Wen Liu, Seth Lloyd:
Quantum Earth Mover's Distance: A New Approach to Learning Quantum Data. - Xin Du, Mohammad Monir Uddin, A. Mostakim Fony, Md. Tanzim Hossain, Md Nazmul Islam Shuzan:
Iterative Rational Krylov Algorithms for model reduction of a class of constrained structural dynamic system with Engineering applications. - Chengjie Zhan, Zhenhua Chai, Baochang Shi:
A lattice Boltzmann model for the coupled cross-diffusion-fluid system. - Yingni Wang, Shuge Lei, Jian Dai, Kehong Yuan:
Knowledge AI: New Medical AI Solution for Medical image Diagnosis. - Racine Ly, Fousseini Traore, Khadim Dia:
Forecasting Commodity Prices Using Long Short-Term Memory Neural Networks. - Ricardo Baptista, Youssef M. Marzouk, Rebecca E. Morrison, Olivier Zahm:
Learning non-Gaussian graphical models via Hessian scores and triangular transport. - Samuel Liu, Christopher H. Bennett, Joseph S. Friedman, Matthew J. Marinella, David Paydarfar, Jean Anne C. Incorvia:
Controllable reset behavior in domain wall-magnetic tunnel junction artificial neurons for task-adaptable computation. - Thang Xuan Duong, Vu Ngoc Khiêm, Mikhail Itskov, Roger Andrew Sauer:
A general theory for anisotropic Kirchhoff-Love shells with embedded fibers and in-plane bending. - Zaheer Ullah Khan, Dechang Pi, Izhar Ahmed Khan, Asif Nawaz, Jamil Ahmad, Mushtaq Hussain:
piSAAC: Extended notion of SAAC feature selection novel method for discrimination of Enzymes model using different machine learning algorithm. - Filippo Neri:
How to Identify Investor's types in real financial markets by means of agent based simulation. - Alexandre Miot:
Adversarial trading. - Quan-Lin Li, Chengliang Wang, Yiming Xu, Chi Zhang, Yan-Xia Chang, Xiaole Wu, Zhen-Ping Fan, Zhi-Guo Liu:
Infections Forecasting and Intervention Effect Evaluation for COVID-19 via a Data-Driven Markov Process and Heterogeneous Simulation. - Sarah Walker, Joshua Peeples, Jeff Dale, James Keller, Alina Zare:
Explainable Systematic Analysis for Synthetic Aperture Sonar Imagery. - Nader Tavaf, Amirsina Torfi, Kâmil Ugurbil, Pierre-François van de Moortele:
GRAPPA-GANs for Parallel MRI Reconstruction. - Tae Wan Kim, Matloob Khushi:
Portfolio Optimization with 2D Relative-Attentional Gated Transformer. - Elham Ghazizadeh, ShiNung Ching:
Slow manifolds in recurrent networks encode working memory efficiently and robustly. - Simon L. Batzner, Tess E. Smidt, Lixin Sun, Jonathan P. Mailoa, Mordechai Kornbluth, Nicola Molinari, Boris Kozinsky:
SE(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials. - Dai Feng, Lili Zhao:
BDNNSurv: Bayesian deep neural networks for survival analysis using pseudo values. - Stefano Martina, Stefano Gherardini, Filippo Caruso:
Machine learning approach for quantum non-Markovian noise classification. - Anindo Saha, Matin Hosseinzadeh, Henkjan J. Huisman:
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effect of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction. - John K. Golden, Andreas Bärtschi, Daniel O'Malley, Stephan J. Eidenbenz:
QAOA-based Fair Sampling on NISQ Devices. - Jonathan D. Smith, Zachary E. Ross, Kamyar Azizzadenesheli, Jack B. Muir:
HypoSVI: Hypocenter inversion with Stein variational inference and Physics Informed Neural Networks. - Shu Nakamura:
Quantization optimized with respect to the Haar basis. - Ruibing Song, Kejie Huang, Zongsheng Wang, Haibin Shen:
An Ultra Fast Low Power Convolutional Neural Network Image Sensor with Pixel-level Computing. - Yi Wei, Ming-Min Zhao, Min-Jian Zhao, Yunlong Cai:
Channel Estimation for IRS-aided Multiuser Communications with Reduced Error Propagation. - Jingwei Liu:
SARS-Cov-2 RNA Sequence Classification Based on Territory Information. - H. Masoomy, B. Askari, M. N. Najafi, S. M. S. Movahed:
Persistent Homology of Weighted Visibility Graph from Fractional Gaussian Noise. - Xugang Lu, Peng Shen, Yu Tsao, Hisashi Kawai:
Integrating a joint Bayesian generative model in a discriminative learning framework for speaker verification. - Luca Cardelli, Isabel Cristina Pérez-Verona, Mirco Tribastone, Max Tschaikowski, Andrea Vandin, Tabea Waizmann:
Exact maximal reduction of stochastic reaction networks by species lumping. - Krzysztof J. Szajowski, Kinga Wlodarczyk:
Drivers' skills and behavior vs. traffic at intersections. - Anatolii A. Shyian:
Social networks as an apparatus for managing of information security in the digital economy. - Santanu Mandal, Ranjit Mehatari:
On the Seidel spectrum of threshold graphs. - Nicola Parolini, Luca Dedè, Paola F. Antonietti, Giovanni Ardenghi, Andrea Manzoni, Edie Miglio, Andrea Pugliese, Marco Verani, Alfio Quarteroni:
SUIHTER: A new mathematical model for COVID-19. Application to the analysis of the second epidemic outbreak in Italy. - Nina Wiedemann, David Adjiashvili:
An Optimization Framework for Power Infrastructure Planning. - Sophia Gu:
Deep Reinforcement Learning with Function Properties in Mean Reversion Strategies. - Sheng-Ming Ma:
A New Type of Bases for Zero-dimensional Ideals. - Ti-Yen Lan, Nicolas Boumal, Amit Singer:
Random Conical Tilt Reconstruction without Particle Picking in Cryo-electron Microscopy. - Spencer Compton, Murat Kocaoglu, Kristjan H. Greenewald, Dmitriy Katz:
Entropic Causal Inference: Identifiability and Finite Sample Results. - Koby Bibas, Gili Weiss-Dicker, Dana Cohen, Noa Cahan, Hayit Greenspan:
Learning Rotation Invariant Features for Cryogenic Electron Microscopy Image Reconstruction. - Guillaume Ducoffe:
Beyond Helly graphs: the diameter problem on absolute retracts. - Nayana Das, Goutam Paul, Ritajit Majumdar:
Quantum Secure Direct Communication with Mutual Authentication using a Single Basis. - Wessel P. Bruinsma, James Requeima, Andrew Y. K. Foong, Jonathan Gordon, Richard E. Turner:
The Gaussian Neural Process. - Giulio Burgio, Alex Arenas, Sergio Gómez, Joan T. Matamalas:
Network clique cover approximation to analyze complex contagions through group interactions. - Tiffany Frugé Jones, Evdokiya Georgieva Kostadinova, Joshua Lee Padgett, Qin Sheng:
A series representation of the discrete fractional Laplace operator of arbitrary order. - Corey Shanbrom:
An introduction to the Kepler-Heisenberg problem. - Ahmad Kazemi, Pierre Le Bodic, Andreas T. Ernst, Mohan Krishnamoorthy:
New commodity representations for multicommodity network flow problems: An application to the fixed-charge network design problem. - Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, Felix J. Herrmann:
Preconditioned training of normalizing flows for variational inference in inverse problems. - Zhendong Liu, Xiaoqiong Huang, Xin Yang, Rui Gao, Rui Li, Yuanji Zhang, Yankai Huang, Guangquan Zhou, Yi Xiong, Alejandro F. Frangi, Dong Ni:
Generalize Ultrasound Image Segmentation via Instant and Plug & Play Style Transfer. - Billy Pik Lik Lau, Benny Kai Kiat Ng, Chau Yuen, Bige Tunçer, Keng Hua Chong:
The Study of Urban Residential's Public Space Activeness using Space-centric Approach. - Bo Wang, Wei Xie, Tugce G. Martagan, Alp Akcay:
Reinforcement Learning under Model Risk for Biomanufacturing Fermentation Control. - Josef Steppan, Sten Hanke:
Analysis of skin lesion images with deep learning. - Mehran Taghian, Ahmad Asadi, Reza Safabakhsh:
A Reinforcement Learning Based Encoder-Decoder Framework for Learning Stock Trading Rules. - Alexander Veremyev, Mikhail V. Goubko:
Mixed-Integer Approaches to Constrained Optimum Communication Spanning Tree Problem. - Tim Aschenbruck, Willem Esterhuizen, Stefan Streif:
Transient Stability Analysis of Power Grids with Admissible and Maximal Robust Positively Invariant Sets. - Zhaowei Zhu, Xiang Lan, Tingting Zhao, Yangming Guo, Pipin Kojodjojo, Zhuoyang Xu, Zhuo Liu, Siqi Liu, Han Wang, Xingzhi Sun, Mengling Feng:
Identification of 27 abnormalities from multi-lead ECG signals: An ensembled Se-ResNet framework with Sign Loss function. - Mingyu Yang, Chenghong Bian, Hun-Seok Kim:
Deep Joint Source Channel Coding for WirelessImage Transmission with OFDM. - Alexander Temerev, Liudmila Rozanova:
A stochastic geospatial epidemic model and simulation using an event modulated Gillespie algorithm. - Jennifer Weißen, Simone Göttlich, Dieter Armbruster:
Density dependent diffusion models for the interaction of particle ensembles with boundaries. - Maryam Qamar Butt, Anis Ur Rahman:
Audiovisual Saliency Prediction in Uncategorized Video Sequences based on Audio-Video Correlation. - Nikhil Kumar Tomar:
Automatic Polyp Segmentation using Fully Convolutional Neural Network. - Dylan J. Altschuler, Jonathan Niles-Weed:
The Discrepancy of Random Rectangular Matrices. - Giacomo Dimarco, Andrea Tosin, Mattia Zanella:
Kinetic derivation of Aw-Rascle-Zhang-type traffic models with driver-assist vehicles. - Adrià Garriga-Alonso, Mark van der Wilk:
Correlated Weights in Infinite Limits of Deep Convolutional Neural Networks. - Miles D. Cranmer, Daniel Tamayo, Hanno Rein, Peter W. Battaglia, Samuel Hadden, Philip J. Armitage, Shirley Ho, David N. Spergel:
A Bayesian neural network predicts the dissolution of compact planetary systems. - Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe, Lorenzo Torresani, Saeed Hassanpour:
Resolution-Based Distillation for Efficient Histology Image Classification. - Leo Liberti, Pierre-Louis Poirion, Ky Khac Vu:
Random projections for conic programs. - Marco Marcozzi, Leonardo Mostarda:
Quantum Consensus: an overview. - Ali M. Alagrami, Maged M. Eljazzar:
Smartajweed Automatic Recognition of Arabic Quranic Recitation Rules. - Kare Kamila:
General Hannan and Quinn Criterion for Common Time Series. - John C. Baez, Fabrizio Genovese, Jade Master, Michael Shulman:
Categories of Nets. - Ish Kumar Jain, Raghav Subbaraman, Dinesh Bharadia:
Two beams are better than one: Enabling reliable and high throughput mmWave links. - Ziyang Huang, Guang Lin, Arezoo Motavalizadeh Ardekani:
A consistent and conservative model and its scheme for N-phase-M-component incompressible flows. - Marta D'Elia, Mamikon A. Gulian:
Analysis of Anisotropic Nonlocal Diffusion Models: Well-posedness of Fractional Problems for Anomalous Transport. - Li Wang, Lei-Hong Zhang, Ren-Cang Li:
Trace Ratio Optimization with an Application to Multi-view Learning. - Md. Abul Hayat, Peter Harrington, George Stein, Zarija Lukic, Mustafa Mustafa:
Estimating Galactic Distances From Images Using Self-supervised Representation Learning. - Tsubasa Ochiai, Marc Delcroix, Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Shoko Araki:
Neural Network-based Virtual Microphone Estimator. - Miguel Picallo, Saverio Bolognani, Florian Dörfler:
Predictive-sensitivity: Beyond Singular Perturbation for Control Design on Multiple Time Scales. - Li Wang, Zhenya Yan:
Data-driven peakon and periodic peakon travelling wave solutions of some nonlinear dispersive equations via deep learning. - Yossi Bokor, Katharine Turner, Christopher Williams:
Towards Stratified Space Learning: Linearly Embedded Graphs. - Hitarth Choubisa, Petar Todorovic, Joao M. Pina, Darshan H. Parmar, Ziliang Li, Oleksandr Voznyy, Isaac Tamblyn, Edward H. Sargent:
Interpretable discovery of new semiconductors with machine learning. - Ishaan Bhat, Hugo J. Kuijf, Veronika Cheplygina, Josien P. W. Pluim:
Using uncertainty estimation to reduce false positives in liver lesion detection. - Amoldeep Singh, Kapal Dev, Harun Siljak, Hem Dutt Joshi, Maurizio Magarini:
Quantum Internet- Applications, Functionalities, Enabling Technologies, Challenges, and Research Directions. - Sridhar Ravula:
Text analysis in financial disclosures. - Monica Arul, Ahsan Kareem:
Machine learning based automated identification of thunderstorms from anemometric records using shapelet transform. - Thomas Daniel, Fabien Casenave, Nissrine Akkari, David Ryckelynck:
Data augmentation and feature selection for automatic model recommendation in computational physics. - Bin Li, Shuseng Wang, Jun Zhang, Xianbin Cao, Chenglin Zhao:
Fast Randomized-MUSIC for mm-Wave Massive MIMO Radars. - Qiuheng Zhou, Wei Jiang:
Implementation of OpenAirInterface-based real-world channel measurement for evaluating wireless transmission algorithms. - Xiaoqi Ma, Xiaoyu Lin, Majed El Helou, Sabine Süsstrunk:
Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion. - Jan-Matthis Lueckmann, Jan Boelts, David S. Greenberg, Pedro J. Gonçalves, Jakob H. Macke:
Benchmarking Simulation-Based Inference. - Wael Fatnassi, Yasser Shoukry:
PolyAR: A Highly Parallelizable Solver For Polynomial Inequality Constraints Using Convex Abstraction Refinement. - Davide Piras, Alessio Spurio Mancini, Benjamin Joachimi, Michael P. Hobson:
Towards fast machine-learning-assisted Bayesian posterior inference of realistic microseismic events. - Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith:
Model-Based Machine Learning for Communications. - Alexandru Paler, Oumarou Oumarou, Robert Basmadjian:
On the realistic worst case analysis of quantum arithmetic circuits. - Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon:
Improving Classification Accuracy with Graph Filtering. - Roman Vygon, Nikolay Mikhaylovskiy:
Learning Efficient Representations for Keyword Spotting with Triplet Loss. - Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang:
Generative Adversarial U-Net for Domain-free Medical Image Augmentation. - Xin Yuan, Yang Liu, Jinli Suo, Frédo Durand, Qionghai Dai:
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging. - Alexandre Fioravante de Siqueira, Daniela Mayumi Ushizima, Stéfan van der Walt:
A reusable pipeline for large-scale fiber segmentation on unidirectional fiber beds using fully convolutional neural networks. - Junyan Su, Yuning Jiang, Altug Bitlislioglu, Colin N. Jones, Boris Houska:
Distributed Multi-Building Coordination for Demand Response. - Christian Marzahl, Christof A. Bertram, Frauke Wilm, Jörn Voigt, Ann K. Barton, Robert Klopfleisch, Katharina Breininger, Andreas Maier, Marc Aubreville:
Learning to be EXACT, Cell Detection for Asthma on Partially Annotated Whole Slide Images. - Dominic Richards, Mike Rabbat:
Learning with Gradient Descent and Weakly Convex Losses. - Yan Zhang, Frank Schweitzer:
Quantifying the importance of firms by means of reputation and network control. - Hasindu Gamaarachchi:
Computer Architecture-Aware Optimisation of DNA Analysis Systems. - Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu:
Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive Locally Recurrent Networks. - Ludovic Goudenège, Bin Xie:
Ergodicity of stochastic Cahn-Hilliard equations with logarithmic potentials driven by degenerate or nondegenerate noises. - Jorge F. Lazo, Aldo Marzullo, Sara Moccia, Michele Catellani, Benoit Rosa, Michel de Mathelin, Elena De Momi:
A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture. - Mariam El Oussini:
Detection and extraction of biological particles in a three-dimensional imaging of biological structures by TEM (Transmission Electron Microscopy). - Darwin Castillo, Vasudevan Lakshminarayanan, María-José Rodríguez-Alvarez:
MRI Images, Brain Lesions and Deep Learning. - Cong Ma, Yuanxin Li, Yuejie Chi:
Beyond Procrustes: Balancing-Free Gradient Descent for Asymmetric Low-Rank Matrix Sensing. - Catalina Pesce, Andreas Münch:
How do degenerate mobilities determine singularity formation in Cahn-Hilliard equations? - Wenjing Liao, Mauro Maggioni, Stefano Vigogna:
Multiscale regression on unknown manifolds. - Anirban Chaudhuri, Boris Kramer, Matthew Norton, Johannes O. Royset, Karen Willcox:
Certifiable Risk-Based Engineering Design Optimization. - Jasjeet Dhaliwal, Kyle Hambrook:
DAEs for Linear Inverse Problems: Improved Recovery with Provable Guarantees. - Xiaofeng Liu, Fangxu Xing, Chao Yang, C.-C. Jay Kuo, Suma Babu, Georges El Fakhri, Thomas Jenkins, Jonghye Woo:
VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI. - Jeremy Zucker, Kaushal Paneri, Sara Mohammad Taheri, Somya Bhargava, Pallavi Kolambkar, Craig Bakker, Jeremy Teuton, Charles Tapley Hoyt, Kristie L. Oxford, Robert Osazuwa Ness, Olga Vitek:
Leveraging Structured Biological Knowledge for Counterfactual Inference: a Case Study of Viral Pathogenesis. - Rohit Jena, Sumedha Singla, Kayhan Batmanghelich:
Self-Supervised Vessel Enhancement Using Flow-Based Consistencies. - Louis Golowich, Shengwu Li:
On the Computational Properties of Obviously Strategy-Proof Mechanisms. - Agnieszka Truszkowska, Brandon Behring, Jalil Hasanyan, Lorenzo Zino, Sachit Butail, Emanuele Caroppo, Zhong-Ping Jiang, Alessandro Rizzo, Maurizio Porfiri:
High-resolution agent-based modeling of COVID-19 spreading in a small town. - Ka Man Yim, Jacob Leygonie:
Optimisation of Spectral Wavelets for Persistence-based Graph Classification. - Shutang You:
Ambient PMU Data Based System Oscillation Analysis Using Multivariate Empirical Mode Decomposition. - Ke Ma, Dongxuan He, Hancun Sun, Zhaocheng Wang, Sheng Chen:
Deep Learning Assisted Calibrated Beam Training for Millimeter-Wave Communication Systems. - Mengfei Xu, Shufang Song, Xuxiang Sun, Weiwei Zhang:
UCNN: A Convolutional Strategy on Unstructured Mesh. - Yuehong Gao, Changhao Sun, Xiaonan Zhang, Xiao Hong:
Study on MCS Selection and Spectrum Allocation for URLLC Traffic under Delay and Reliability Constraint in 5G Network. - Luc Le Magoarou:
Similarity-based prediction for channel mapping and user positioning. - Muzaffer Özbey, Mahmut Yurt, Salman Ul Hassan Dar, Tolga Çukur:
Three Dimensional MR Image Synthesis with Progressive Generative Adversarial Networks. - Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, Mohammad Norouzi:
Big Self-Supervised Models Advance Medical Image Classification. - Annie Marsden, John C. Duchi, Gregory Valiant:
On Misspecification in Prediction Problems and Robustness via Improper Learning. - Lampros Flokas, Emmanouil V. Vlatakis-Gkaragkounis, Georgios Piliouras:
Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent. - Qiong Hu, Tobias Bleisch, Petko Petkov, Tuomo Raitio, Erik Marchi, Varun Lakshminarasimhan:
Whispered and Lombard Neural Speech Synthesis. - William Adorno III, Alexis Catalano, Lubaina Ehsan, Hans Vitzhum von Eckstaedt, Barrett Barnes, Emily McGowan, Sana Syed, Donald E. Brown:
Advancing Eosinophilic Esophagitis Diagnosis and Phenotype Assessment with Deep Learning Computer Vision. - Tian Xie, Arthur France-Lanord, Yanming Wang, Jeffrey Lopez, Michael Austin Stolberg, Megan Hill, Graham Michael Leverick, Rafael Gómez-Bombarelli, Jeremiah A. Johnson, Yang Shao-Horn, Jeffrey C. Grossman:
Accelerating the screening of amorphous polymer electrolytes by learning to reduce random and systematic errors in molecular dynamics simulations. - Mike Lindow, David DeFranza, Arul Mishra, Himanshu Mishra:
Scared into Action: How Partisanship and Fear are Associated with Reactions to Public Health Directives. - Xin Chen, Anderson Y. Zhang:
Optimal Clustering in Anisotropic Gaussian Mixture Models. - Shangjie Guo, Amilson R. Fritsch, Craig Greenberg, Ian B. Spielman, Justyna P. Zwolak:
Machine-learning enhanced dark soliton detection in Bose-Einstein condensates. - Yi Liu, Shuiwang Ji:
A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis. - Xiaofeng Liu, Fangxu Xing, Georges El Fakhri, Jonghye Woo:
A Unified Conditional Disentanglement Framework for Multimodal Brain MR Image Translation. - Xiaofeng Liu, Fangxu Xing, Jerry L. Prince, Aaron Carass, Maureen Stone, Georges El Fakhri, Jonghye Woo:
Dual-cycle Constrained Bijective VAE-GAN For Tagged-to-Cine Magnetic Resonance Image Synthesis. - Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding:
Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans. - Yi Yu, Oscar Hernan Madrid Padilla, Daren Wang, Alessandro Rinaldo:
Optimal network online change point localisation. - Marc Delcroix, Katerina Zmolíková, Tsubasa Ochiai, Keisuke Kinoshita, Tomohiro Nakatani:
Speaker activity driven neural speech extraction. - Dan Oneata, Alexandru Caranica, Adriana Stan, Horia Cucu:
An evaluation of word-level confidence estimation for end-to-end automatic speech recognition. - Alexander Denker, Anastasia Steshina, Theresa Grooss, Frank Ueckert, Sylvia Nürnberg:
Feature reduction for machine learning on molecular features: The GeneScore. - Nayana Das, Goutam Paul:
Secure Multi-Party Quantum Conference and Xor Computation. - Julian Berberich, Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
On the design of terminal ingredients for data-driven MPC. - Frank Schweitzer, Luca Verginer, Giacomo Vaccario:
Should the government reward cooperation? Insights from an agent-based model of wealth redistribution. - Kerstin Lux, Christian Kuehn:
Uncertainty Quantification of Bifurcations in Random Ordinary Differential Equations. - Yoo Rhee Oh, Kiyoung Park, Jeon Gyu Park:
Fast offline Transformer-based end-to-end automatic speech recognition for real-world applications. - Linus Hamilton, Ankur Moitra:
No-go Theorem for Acceleration in the Hyperbolic Plane. - Ashwin Misra, Ankit Mittal, Vihaan Misra, Deepanshu Pandey:
Improving non-deterministic uncertainty modelling in Industry 4.0 scheduling. - Aratrika Mustafi:
Convex Smoothed Autoencoder-Optimal Transport model. - Bastian Schnell, Goeric Huybrechts, Bartek Perz, Thomas Drugman, Jaime Lorenzo-Trueba:
EmoCat: Language-agnostic Emotional Voice Conversion. - Margarida Baía, Farid Bozorgnia, Léonard Monsaingeon, Juha H. Videman:
A degenerate elliptic-parabolic system arising in competitive contaminant transport. - László Csató:
A comparative study of scoring systems by simulations. - Mario Juric, Steven Stetzler, Colin T. Slater:
Checkpoint, Restore, and Live Migration for Science Platforms. - Adam Spannaus, Kody J. H. Law, Piotr Luszczek, Farzana Nasrin, Cassie Putman Micucci, Peter K. Liaw, Louis Joseph Santodonato, David J. Keffer, Vasileios Maroulas:
Materials Fingerprinting Classification. - Radoslaw Pytlak, Damian Suski:
Numerical procedure for optimal control of hybrid systems with sliding modes, Part I. - Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis:
Physics-aware, probabilistic model order reduction with guaranteed stability. - Guillermo B. Morales, Claudio R. Mirasso, Miguel C. Soriano:
Unveiling the role of plasticity rules in reservoir computing. - Ahmed Attia, Sven Leyffer, Todd S. Munson:
Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments. - Xinmeng Xu, Dongxiang Xu, Jie Jia, Yang Wang, Binbin Chen:
MFFCN: Multi-layer Feature Fusion Convolution Network for Audio-visual Speech Enhancement. - Umberto A. Gava, Federico D'Agata, Enzo Tartaglione, Marco Grangetto, Francesca Bertolino, Ambra Santonocito, Edwin Bennink, Mauro Bergui:
Neural Network-derived perfusion maps: a Model-free approach to computed tomography perfusion in patients with acute ischemic stroke. - Sidrah Shabbir, Muhammad Ahmad:
Hyperspectral Image Classification - Traditional to Deep Models: A Survey for Future Prospects. - Alexandre Bovet, Jean-Charles Delvenne, Renaud Lambiotte:
Flow stability for dynamic community detection. - Javi Arango, Alec DeCaprio, Sunwoo Baik, Luca De Nardis, Stefanie Shattuck-Hufnagel, Maria-Gabriella Di Benedetto:
Estimation of the Frequency of Occurrence of Italian Phonemes in Text. - Kaifeng Bu, Dax Enshan Koh, Lu Li, Qingxian Luo, Yaobo Zhang:
On the statistical complexity of quantum circuits. - Robert Ferens, Artur Jez:
Solving one variable word equations in the free group in cubic time. - Ronglin Gong, Zhiyang Lu, Jun Shi:
Task-driven Self-supervised Bi-channel Networks Learning for Diagnosis of Breast Cancers with Mammography. - Fabrizio Romano Genovese, Fosco Loregiàn, Daniele Palombi:
Nets with Mana: A Framework for Chemical Reaction Modelling. - Xinmeng Xu, Yang Wang, Dongxiang Xu, Cong Zhang, Yiyuan Peng, Jie Jia, Binbin Chen:
Attentional Multi-layer Feature Fusion Convolution Network for Audio-visual Speech Enhancement. - Manuel M. Eichenlaub:
On the relationship between a Gamma distributed precision parameter and the associated standard deviation in the context of Bayesian parameter inference. - Nathan Wycoff, Mickaël Binois, Robert B. Gramacy:
Sensitivity Prewarping for Local Surrogate Modeling. - Alexey A. Khartov, I. A. Limar:
Asymptotic analysis in multivariate average case approximation with Gaussian kernels. - Marcos Costa Santos Carreira:
Exponential Kernels with Latency in Hawkes Processes: Applications in Finance. - Abhinau Kumar Venkataramanan, Chengyang Wu, Alan C. Bovik, Ioannis Katsavounidis, Zafar Shahid:
A Hitchhiker's Guide to Structural Similarity. - Ruizhong Miao, Tianxi Li:
Informative core identification in complex networks. - Daniel Korzekwa, Jaime Lorenzo-Trueba, Szymon Zaporowski, Shira Calamaro, Thomas Drugman, Bozena Kostek:
Mispronunciation Detection in Non-native (L2) English with Uncertainty Modeling. - Qianye Yang, Tom Vercauteren, Yunguan Fu, Francesco Giganti, Nooshin Ghavami, Vasilis Stavrinides, Caroline M. Moore, Matthew J. Clarkson, Dean C. Barratt, Yipeng Hu:
Morphological Change Forecasting for Prostate Glands using Feature-based Registration and Kernel Density Extrapolation. - Sabrina Amrouche, Moritz Kiehn, Tobias Golling, Andreas Salzburger:
Hashing and metric learning for charged particle tracking. - Emil Saucan:
Hypernetworks: From Posets to Geometry. - M. Jorge Cardoso, Marc Modat, Tom Vercauteren, Sébastien Ourselin:
Scale factor point spread function matching: Beyond aliasing in image resampling. - Anand Jerry George, Navin Kashyap:
An MCMC Method to Sample from Lattice Distributions. - Gian Maria Campedelli, Maria Rita D'Orsogna:
Temporal Clustering of Disorder Events During the COVID-19 Pandemic. - Matteo Casati, Paolo Lorenzoni, Daniele Valeri, Raffaele Vitolo:
Weakly nonlocal Poisson brackets: tools, examples, computations. - Khrystyna Faryna, Kevin Koschmieder, Marcella M. Paul, Thomas L. A. van den Heuvel, Anke W. van der Eerden, Rashindra Manniesing, Bram van Ginneken:
Adversarial cycle-consistent synthesis of cerebral microbleeds for data augmentation. - Roberto Perera, Davide Guzzetti, Vinamra Agrawal:
Optimized and autonomous machine learning framework for characterizing pores, particles, grains and grain boundaries in microstructural images. - Federica Ferretti, Victor Chardès, Thierry Mora, Aleksandra M. Walczak, Irene Giardina:
The Connection between Discrete- and Continuous-Time Descriptions of Gaussian Continuous Processes. - Hunter R. Johnson:
Binary strings of finite VC dimension. - Tonumoy Mukherjee, Chandrani Singh, Prabir Kumar Biswas:
A Novel Approach for Earthquake Early Warning System Design using Deep Learning Techniques. - Thirupathaiah Vasantam, Ravi R. Mazumdar:
Sensitivity of Mean-Field Fluctuations in Erlang loss models with randomized routing. - David Jekel, Wuchen Li, Dimitri Shlyakhtenko:
Tracial smooth functions of non-commuting variables and the free Wasserstein manifold. - Juntao Huang, Yizhou Zhou, Wen-An Yong:
Data-driven discovery of multiscale chemical reactions governed by the law of mass action. - Simon Mak, Yuanshuo Zhou, Lavonne Hoang, C. F. Jeff Wu:
TSEC: a framework for online experimentation under experimental constraints. - Barbara Kaltenbacher, William Rundell:
On the simultaneous recovery of the conductivity and the nonlinear reaction term in a parabolic equation. - Pengzhou Wu, Kenji Fukumizu:
Identifying Treatment Effects under Unobserved Confounding by Causal Representation Learning. - Barbara Kaltenbacher, William Rundell:
On uniqueness and reconstruction of a nonlinear diffusion term in a parabolic equation. - Francesco Ferrante, Fabrizio Dabbene, Chiara Ravazzi:
On the Design of Structured Stabilizers for LTI Systems. - Maximilian J. Grill, Jonas F. Eichinger, Jonas Koban, Christoph Meier, Oliver Lieleg, Wolfgang A. Wall:
A Novel Modeling and Simulation Approach for the Hindered Mobility of Charged Particles in Biological Hydrogels. - Theodoulos Rodosthenous, Vahid Shahrezaei, Marina Evangelou:
Multi-view Data Visualisation via Manifold Learning. - Christopher Vogelsanger, Christian Federau:
Latent Space Analysis of VAE and Intro-VAE applied to 3-dimensional MR Brain Volumes of Multiple Sclerosis, Leukoencephalopathy, and Healthy Patients. - Xiaofeng Liu, Fangxu Xing, Chao Yang, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology. - Michael Clayton, Lin Wang, Andrew McPherson, Andrea Cavallaro:
An embedded multichannel sound acquisition system for drone audition. - Yizhen Xu, Joseph W. Hogan, Michael J. Daniels, Rami Kantor, Ann Mwangi:
Inference for BART with Multinomial Outcomes. - Xiaoting Han, Lei Qi, Qian Yu, Ziqi Zhou, Yefeng Zheng, Yinghuan Shi, Yang Gao:
Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation. - Yuekai Zhang, Sining Sun, Long Ma:
Tiny Transducer: A Highly-efficient Speech Recognition Model on Edge Devices. - Oliver Knill:
Graph complements of circular graphs. - Suranjan Goswami, Satish Kumar Singh:
A Novel Registration & Colorization Technique for Thermal to Cross Domain Colorized Images. - Ling Huang, Su Ruan, Thierry Denoeux:
Covid-19 classification with deep neural network and belief functions. - Xinglong Qu, Shun Kurokawa, The Anh Han:
Social cohesion V.S. task cohesion: An evolutionary game theory study. - Taro Langner, Fredrik K. Gustafsson, Benny Avelin, Robin Strand, Håkan Ahlström, Joel Kullberg:
Uncertainty-Aware Body Composition Analysis with Deep Regression Ensembles on UK Biobank MRI. - Atin Ghosh, Alexandre H. Thiéry:
On Data-Augmentation and Consistency-Based Semi-Supervised Learning. - Vincent Couteaux, Mathilde Trintignac, Olivier Nempont, Guillaume Pizaine, Anna Sesilia Vlachomitrou, Pierre-Jean Valette, Laurent Milot, Isabelle Bloch:
Comparing Deep Learning strategies for paired but unregistered multimodal segmentation of the liver in T1 and T2-weighted MRI. - Catherine B. Hurley, Mark O'Connell, Katarina Domijan:
Interactive slice visualization for exploring machine learning models. - David Schaller, Manuela Geiß, Marc Hellmuth, Peter F. Stadler:
Least resolved trees for two-colored best match graphs. - Jorge Caravantes, J. Rafael Sendra, David Sevilla, Carlos Villarino:
Covering rational surfaces with rational parametrization images. - Yahya Dogan, Hacer Yalim Keles:
Iterative Facial Image Inpainting using Cyclic Reverse Generator. - Xin-Long Luo, Jia-hui Lv, Hang Xiao:
Explicit continuation methods with L-BFGS updating formulas for linearly constrained optimization problems. - Gianmario Broccia:
Energy Production in Martian Environment - Powering a Mars Direct-based Habitat. - Sadegh Arefizadeh, Sadjaad Ozgoli, Sadegh Bolouki, Tamer Basar:
Partial Observability Approach for the Optimal Transparency Problem in Multi-agent Systems. - Sara Mardanisamani, Zahra Karimi, Akram Jamshidzadeh, Mehran Yazdi, Melika Farshad, Amirmehdi Farshad:
A New Approach for Automatic Segmentation and Evaluation of Pigmentation Lesion by using Active Contour Model and Speeded Up Robust Features. - Christian S. Schmid, Ted Hsuan Yun Chen, Bruce A. Desmarais:
Generative Dynamics of Supreme Court Citations: Analysis with a New Statistical Network Model. - Chad Nathe, Enrico Del Frate, Thomas L. Carroll, Louis M. Pecora, Afroza Shirin, Francesco Sorrentino:
Reservoir Computers Modal Decomposition and Optimization. - Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan Lavista Ferres, Raymond T. Ng:
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary. - Di Luo, Zhuo Chen, Kaiwen Hu, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark:
Gauge Invariant Autoregressive Neural Networks for Quantum Lattice Models. - Xujun Liu, Olgica Milenkovic, George V. Moustakides:
Query-Based Selection of Optimal Candidates under the Mallows Model. - David W. Hogg, Soledad Villar:
Fitting very flexible models: Linear regression with large numbers of parameters. - Shawn Mathew, Saad Nadeem, Arie E. Kaufman:
Visualizing Missing Surfaces In Colonoscopy Videos using Shared Latent Space Representations. - Trevor Doherty, Susan McKeever, Nebras Al-Attar, Tiarnan Murphy, Claudia Aura, Arman Rahman, Amanda O'Neill, Stephen P. Finn, Elaine W. Kay, William M. Gallagher, R. William G. Watson, Aoife Gowen, Patrick Jackman:
Feature Fusion of Raman Chemical Imaging and Digital Histopathology using Machine Learning for Prostate Cancer Detection. - Yichi Zhang, Minh Tang:
Consistency of random-walk based network embedding algorithms. - Khalid L. Alsamadony, Ertugrul U. Yildirim, Guenther Glatz, Umair bin Waheed, Sherif M. Hanafy:
Deep-Learning Driven Noise Reduction for Reduced Flux Computed Tomography. - Sebastian Ament, Maximilian Amsler, Duncan R. Sutherland, Ming-Chiang Chang, Dan Guevarra, Aine B. Connolly, John M. Gregoire, Michael O. Thompson, Carla P. Gomes, R. Bruce van Dover:
Autonomous synthesis of metastable materials. - Eunwoo Song, Ryuichi Yamamoto, Min-Jae Hwang, Jin-Seob Kim, Ohsung Kwon, Jae-Min Kim:
Improved parallel WaveGAN vocoder with perceptually weighted spectrogram loss. - Hanliang Jiang, Fuhao Shen, Fei Gao, Weidong Han:
Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification. - Hayden Gunraj, Ali Sabri, David Koff, Alexander Wong:
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning. - Yuan Gao, Jian-Guo Liu:
Surfactant-dependent contact line dynamics and droplet adhesion on textured substrates: derivations and computations. - Daoyi Dong:
Learning Control of Quantum Systems. - Mohamed Kamel Riahi, M. Ali, Y. Addad, E. Abu-Nada:
Combined Newton-Raphson and Streamlines-Upwind Petrov-Galerkin iterations for nano-particles transport in buoyancy driven flow. - Dacheng Chen, Dan Li, Xiuqin Xu, Ruizhi Yang, See-Kiong Ng:
Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG. - Paul Novello, Gaël Poëtte, David Lugato, Pietro Marco Congedo:
Variance Based Samples Weighting for Supervised Deep Learning. - Kathryn Schutte, Olivier Moindrot, Paul Hérent, Jean-Baptiste Schiratti, Simon Jégou:
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images. - Luc Pronzato:
Performance analysis of greedy algorithms for minimising a Maximum Mean Discrepancy. - Ken Deng, Chang Sun, Yitong Liu, Hongwen Yang:
Real-Time Limited-View CT Inpainting and Reconstruction with Dual Domain Based on Spatial Information. - Sergei Koltcov, Vera Ignatenko, Maxim Terpilovskii, Paolo Rosso:
Analysis and tuning of hierarchical topic models based on Renyi entropy approach. - Tanveer Gupte, Mrunmai Niljikar, Manish Gawali, Viraj Kulkarni, Amit Kharat, Aniruddha Pant:
Deep Learning Models for Calculation of Cardiothoracic Ratio from Chest Radiographs for Assisted Diagnosis of Cardiomegaly. - Douglas E. Iannucci, Urban Larsson:
Game values of arithmetic functions. - Abhishek Shivdeo, Rohit Lokwani, Viraj Kulkarni, Amit Kharat, Aniruddha Pant:
Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans. - Yitong Liu, Ken Deng, Chang Sun, Hongwen Yang:
A Lightweight Structure Aimed to Utilize Spatial Correlation for Sparse-View CT Reconstruction. - Sven Koehler, Tarique Hussain, Zach Blair, Tyler Huffaker, Florian Ritzmann, Animesh Tandon, Thomas Pickardt, Samir Sarikouch, Heiner Latus, Gerald Greil, Ivo Wolf, Sandy Engelhardt:
Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks. - Yuzhe Lu, Haichun Yang, Zheyu Zhu, Ruining Deng, Agnes B. Fogo, Yuankai Huo:
Improve Global Glomerulosclerosis Classification with Imbalanced Data using CircleMix Augmentation. - Kui Yang, Wenjing Zhao, Constantinos Antoniou:
Utilizing Import Vector Machines to Identify Dangerous Pro-active Traffic Conditions. - Tiziana Carpi, Airo Hino, Stefano Maria Iacus, Giuseppe Porro:
Twitter Subjective Well-Being Indicator During COVID-19 Pandemic: A Cross-Country Comparative Study. - Daniel Silva Graça, Ning Zhong:
Computing the exact number of periodic orbits for planar flows. - Tamir Bendory, Ti-Yen Lan, Nicholas F. Marshall, Iris Rukshin, Amit Singer:
Multi-target detection with rotations. - David Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, Ole Solheim, Ingerid Reinertsen:
Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms. - Sheikh Md Hanif Hossain, S. M. Raju, Amelia Ritahani Ismail:
Predicting Pneumonia and Region Detection from X-Ray Images using Deep Neural Network. - Simon Bohlender, Ilkay Öksüz, Anirban Mukhopadhyay:
A survey on shape-constraint deep learning for medical image segmentation. - Vishesh Jain, Ashwin Sah, Mehtaab Sawhney:
Anticoncentration versus the number of subset sums. - Tolga Birdal, Vladislav Golyanik, Christian Theobalt, Leonidas J. Guibas:
Quantum Permutation Synchronization. - Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Magnification Generalization for Histopathology Image Embedding. - Cong Ma, Banghua Zhu, Jiantao Jiao, Martin J. Wainwright:
Minimax Off-Policy Evaluation for Multi-Armed Bandits. - Gian Giacomo Guerreschi:
Solving Quadratic Unconstrained Binary Optimization with divide-and-conquer and quantum algorithms. - Edward J. Oughton, Niccolò Comini, Vivien Foster, Jim W. Hall:
Policy choices can help keep 4G and 5G universal broadband affordable. - (Withdrawn) An Analytical Expression for the Effective Area of the Step-Index Single-Mode Optical Fiber.
- Barnaby Martin, Daniël Paulusma, Siani Smith:
Colouring Graphs of Bounded Diameter in the Absence of Small Cycles. - Radoslaw Pytlak, Damian Suski:
Numerical procedure for optimal control of hybrid systems with sliding modes, Part II. - Weihan Zhang, Bryan Pogorelsky, Mark Loveland, Trevor Wolf:
Classification of COVID-19 X-ray Images Using a Combination of Deep and Handcrafted Features. - Reinhold Blümel, Nikodem Grzesiak, Nhung Hong Nguyen, Alaina M. Green, Ming Li, Andrii Maksymov, Norbert Matthias Linke, Yun Seong Nam:
Efficient, stabilized two-qubit gates on a trapped-ion quantum computer. - Yinai Fan, Shenyu Liu, Mohamed-Ali Belabbas:
Geometric Heat Flow Method for Legged Locomotion Planning. - Yuanhao Gong, Wenming Tang, Lebin Zhou, Lantao Yu, Guoping Qiu:
Quarter Laplacian Filter for Edge Aware Image Processing. - Kei Takemura, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi:
Near-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff Functions. - Zheng Liu, Po-Ling Loh:
Robust W-GAN-Based Estimation Under Wasserstein Contamination. - Takamasa Ando, Kazuhiro Hotta:
Cell image segmentation by Feature Random Enhancement Module. - Jose M. Peña:
On the Non-Monotonicity of a Non-Differentially Mismeasured Binary Confounder. - Tanyakarn Treeratanaphitak, Nasser Mohieddin Abukhdeir:
Diffuse-interface blended method for the imposition of physical boundaries in two-fluid flows. - Zhuqing Jiang, Chang Liu, Yanan Wang, Kai Li, Aidong Men, Haiying Wang, Haiyong Luo:
Bridge the Vision Gap from Field to Command: A Deep Learning Network Enhancing Illumination and Details. - Luka Znidaric, Gjorgji Nusev, Bertrand Morel, Julie Mougin, Dani Juricic, Pavle Boskoski:
Evaluating uncertainties in electrochemical impedance spectra of solid oxide fuel cells. - Kimberley M. Timmins, Irene C. van der Schaaf, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf:
Variational Autoencoders with a Structural Similarity Loss in Time of Flight MRAs. - Matthias Schniewind, Alexander Stroh, Bradley P. Ladewig, Pascal Friederich:
Machine learning for rapid discovery of laminar flow channel wall modifications that enhance heat transfer. - Yuki Fujimoto, Kenji Fukushima, Koichi Murase:
Extensive Studies of the Neutron Star Equation of State from the Deep Learning Inference with the Observational Data Augmentation. - Michael S. Albergo, Denis Boyda, Daniel C. Hackett, Gurtej Kanwar, Kyle Cranmer, Sébastien Racanière, Danilo Jimenez Rezende, Phiala E. Shanahan:
Introduction to Normalizing Flows for Lattice Field Theory. - Valerio Capraro, Matjaz Perc:
Mathematical foundations of moral preferences. - Baihe Huang, Shunhua Jiang, Zhao Song, Runzhou Tao:
Solving Tall Dense SDPs in the Current Matrix Multiplication Time. - Xinwei Yu, Matthew S. Creamer, Francesco Randi, Anuj K. Sharma, Scott W. Linderman, Andrew M. Leifer:
Fast deep learning correspondence for neuron tracking and identification in C.elegans using synthetic training. - Justin Salez:
Sparse expanders have negative curvature. - Ethan Ancell, Brennan Bean:
Autocart - spatially-aware regression trees for ecological and spatial modeling. - Balázs Maga:
Chest X-ray lung and heart segmentation based on minimal training sets. - Matthieu Latapy:
Partitions of an Integer into Powers. - Lin Zhang, Tiziano Portenier, Orcun Goksel:
Learning Ultrasound Rendering from Cross-Sectional Model Slices for Simulated Training. - Olivier Bodini, Matthieu Latapy:
Generalized Tilings with Height Functions. - Xun Gao, Eric R. Anschütz, Sheng-Tao Wang, J. Ignacio Cirac, Mikhail D. Lukin:
Enhancing Generative Models via Quantum Correlations. - Diana Kafkes, Jason St. John:
BOOSTR: A Dataset for Accelerator Control Systems. - Naoyuki Terashita, Hiroki Ohashi, Yuichi Nonaka, Takashi Kanemaru:
Influence Estimation for Generative Adversarial Networks. - Alex Meiburg:
Quantum Constraint Problems can be complete for BQP, QCMA, and more. - Ethan Jacob Moyer, Anup Das:
Motif Identification using CNN-based Pairwise Subsequence Alignment Score Prediction. - Ran Gu, Qiang Du, Simon J. L. Billinge:
A fast two-stage algorithm for non-negative matrix factorization in streaming data. - Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw, Tobias Haug, Sumner Alperin-Lea, Abhinav Anand, Matthias Degroote, Hermanni Heimonen, Jakob S. Kottmann, Tim Menke, Wai-Keong Mok, Sukin Sim, Leong-Chuan Kwek, Alán Aspuru-Guzik:
Noisy intermediate-scale quantum (NISQ) algorithms. - Ayana Ghosh, Bobby G. Sumpter, Ondrej Dyck, Sergei V. Kalinin, Maxim A. Ziatdinov:
Ensemble learning and iterative training (ELIT) machine learning: applications towards uncertainty quantification and automated experiment in atom-resolved microscopy. - Amir Hussein, Shinji Watanabe, Ahmed Ali:
Arabic Speech Recognition by End-to-End, Modular Systems and Human. - Pierre Champion, Denis Jouvet, Anthony Larcher:
A Study of F0 Modification for X-Vector Based Speech Pseudonymization Across Gender. - Maedeh Jamali, Nader Karimi, Shadrokh Samavi:
Weighted Fuzzy-Based PSNR for Watermarking. - Yunpeng Li, Zhaohui Ye:
Boosting in Univariate Nonparametric Maximum Likelihood Estimation. - Ying Nie, Kai Han, Zhenhua Liu, An Xiao, Yiping Deng, Chunjing Xu, Yunhe Wang:
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. - Marc Jourdan, Mojmír Mutný, Johannes Kirschner, Andreas Krause:
Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback. - Robert Matthijs Verschuren:
Customer Price Sensitivities in Competitive Automobile Insurance Markets. - Joosep Pata, Javier M. Duarte, Jean-Roch Vlimant, Maurizio Pierini, Maria Spiropulu:
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks. - Denis Trillet, Pierre Duysinx, Eduardo Fernández:
Note on the minimum length scale and its defining parameters. Analytical relationships for Topology Optimization based on uniform manufacturing uncertainties. - Wankai Tang, Xiangyu Chen, Ming Zheng Chen, Jun Yan Dai, Yu Han, Marco Di Renzo, Shi Jin, Qiang Cheng, Tie Jun Cui:
Path Loss Modeling and Measurements for Reconfigurable Intelligent Surfaces in the Millimeter-Wave Frequency Band. - Martin C. Nwadiugwu:
Neural Networks, Artificial Intelligence and the Computational Brain. - Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki:
HMC, an example of Functional Analysis applied to Algorithms in Data Mining. The convergence in Lp. - Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb:
Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma. - Amanda Vidal:
Non axiomatizability of Modal Lukasiewicz Logic. - Adrien Rimélé, Philippe Grangier, Michel Gamache, Michel Gendreau, Louis-Martin Rousseau:
E-commerce warehousing: learning a storage policy. - Tinu Theckel Joy, Suman Sedai, Rahil Garnavi:
Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in Optical Coherence Tomography Images. - Sonal Joshi, Jesús Villalba, Piotr Zelasko, Laureano Moro-Velázquez, Najim Dehak:
Adversarial Attacks and Defenses for Speaker Identification Systems. - Heng Wang, Yang Song, Chaoyi Zhang, Jianhui Yu, Siqi Liu, Hanchuan Peng, Weidong Cai:
Single Neuron Segmentation using Graph-based Global Reasoning with Auxiliary Skeleton Loss from 3D Optical Microscope Images. - Amandin Chyba Rabeendran, Larry Denneau:
A Two-Stage Deep Learning Detection Classifier for the ATLAS Asteroid Survey. - Anshoo Tandon, Aldric H. J. Yuan, Vincent Y. F. Tan:
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples. - Peter Wu, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency:
Understanding the Tradeoffs in Client-Side Privacy for Speech Recognition. - Niankai Cheng, Hua Huang, Lei Zhang, Lizhi Wang:
Snapshot Hyperspectral Imaging Based on Weighted High-order Singular Value Regularization. - Puyu Wang, Yunwen Lei, Yiming Ying, Hai Zhang:
Differentially Private SGD with Non-Smooth Loss. - Vladislav V. Kravchenko, Sergii M. Torba:
A practical method for recovering Sturm-Liouville problems from the Weyl function. - Robert Rand, Aarthi Sundaram, Kartik Singhal, Brad Lackey:
Static Analysis of Quantum Programs via Gottesman Types. - Yuling Yao, Gregor Pirs, Aki Vehtari, Andrew Gelman:
Bayesian hierarchical stacking. - Seobin Park, Tae Hyun Kim:
Image Restoration by Solving IVP. - Vivian Wen Hui Wong, Max Ferguson, Kincho H. Law, Yung-Tsun Tina Lee, Paul Witherell:
Automatic Volumetric Segmentation of Additive Manufacturing Defects with 3D U-Net. - Stéphane Gerbi, Chiraz Kassem, Amina Mortada, Ali Wehbe:
Numerical study of the stabilization of 1D locally coupled wave equations. - Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén:
Linear Regression with Distributed Learning: A Generalization Error Perspective. - Trinh Man Hoang, Jinjia Zhou:
B-DRRN: A Block Information Constrained Deep Recursive Residual Network for Video Compression Artifacts Reduction. - B. Gokturk, A. M. Toon, Arpon Paul, B. Orgen, N. Ravel, J. Setpal, Gökhan Ünel, Sezen Sekmen:
CutLang V2: towards a unified Analysis Description Language. - Seunghoan Song, Masahito Hayashi:
Quantum Private Information Retrieval for Quantum Messages. - Fabrizio Romano Genovese, Fosco Loregiàn, Daniele Palombi:
A Categorical Semantics for Bounded Petri Nets. 59-71 - Victoria Sánchez Muñoz, Michael Mc Gettrick:
Nash Equilibria in certain two-choice multi-player games played on the ladder graph. - Simone Cammarasana, Paolo Nicolardi, Giuseppe Patanè:
A Universal Deep Learning Framework for Real-Time Denoising of Ultrasound Images. - Christopher Irrgang, Niklas Boers, Maike Sonnewald, Elizabeth A. Barnes, Christopher Kadow, Joanna Staneva, Jan Saynisch-Wagner:
Will Artificial Intelligence supersede Earth System and Climate Models? - Chongwen Huang, Zhaohui Yang, George C. Alexandropoulos, Kai Xiong, Li Wei, Chau Yuen, Zhaoyang Zhang, Mérouane Debbah:
Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Design. - Forough Yaghoubi, Armin Catovic, Arthur Gusmao, Jan Pieczkowski, Peter Boros:
Traffic Flow Estimation using LTE Radio Frequency Counters and Machine Learning. - Bangti Jin, Yavar Kian:
Recovery of the Order of Derivation for Fractional Diffusion Equations in an Unknown Medium. - Arnab Chakrabarti, Anindya S. Chakrabarti:
Sparsistent filtering of comovement networks from high-dimensional data. - Sriram Rao, Ashish Mahabal, Niyanth Rao, Cauligi S. Raghavendra:
Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS. - A. Leitao:
Semiconductors and Dirichlet-to-Neumann maps. - Sebastian Braun, Hannes Gamper, Chandan K. A. Reddy, Ivan Tashev:
Towards efficient models for real-time deep noise suppression. - V. de Vos, Kimberley M. Timmins, Irene C. van der Schaaf, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf:
Automatic Cerebral Vessel Extraction in TOF-MRA Using Deep Learning. - Conor Durkan, Yang Song:
On Maximum Likelihood Training of Score-Based Generative Models. - Vihangkumar V. Naik, Alberto Bemporad:
Exact and Heuristic Methods with Warm-start for Embedded Mixed-Integer Quadratic Programming Based on Accelerated Dual Gradient Projection. - Borja Rodríguez Gálvez, Germán Bassi, Ragnar Thobaben, Mikael Skoglund:
Tighter expected generalization error bounds via Wasserstein distance. - Shixiang Chen, Alfredo García, Mingyi Hong, Shahin Shahrampour:
On the Local Linear Rate of Consensus on the Stiefel Manifold. - Iyanuoluwa Emiola, Laurent Njilla, Chinwendu Enyioha:
On Distributed Optimization in the Presence of Malicious Agents. - Axel Wismüller, M. Ali Vosoughi:
Large-scale Augmented Granger Causality (lsAGC) for Connectivity Analysis in Complex Systems: From Computer Simulations to Functional MRI (fMRI). - Ki Hong Shin, Jae Won Jung, Sung Kyu Seo, Cheol-Hwan You, Dong-In Lee, Jisun Lee, Ki-Ho Chang, Woon Seon Jung, Kyungsik Kim:
Dynamical prediction of two meteorological factors using the deep neural network and the long short term memory (1). - Shaoxing Mo, Yulong Zhong, Xiaoqing Shi, Wei Feng, Xin Yin, Jichun Wu:
Filling the gap between GRACE- and GRACE-FO-derived terrestrial water storage anomalies with Bayesian convolutional neural networks. - Jiaming Liu, Yu Sun, Weijie Gan, Xiaojian Xu, Brendt Wohlberg, Ulugbek S. Kamilov:
SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees. - Krzysztof J. Szajowski, Kinga Wlodarczyk:
A measure of the importance of roads based on topography and traffic intensity. - Ningshan Xu:
Adaptively Sparse Regularization for Blind Image Restoration. - Yaning Li, Xue Wang, Guoqing Zhou, Qing Wang:
Deep Anti-aliasing of Whole Focal Stack Using its Slice Spectrum. - Jinyeong Chae, Ki Yong Hong, Jihie Kim:
A Pressure Ulcer Care System For Remote Medical Assistance: Residual U-Net with an Attention Model Based for Wound Area Segmentation. - Jan Mrongowius, Andreas Rößler:
On the Approximation and Simulation of Iterated Stochastic Integrals and the Corresponding Lévy Areas in Terms of a Multidimensional Brownian Motion. - Alexandre d'Aspremont, Damien Scieur, Adrien B. Taylor:
Acceleration Methods. - Bahjat Kawar, Gregory Vaksman, Michael Elad:
Stochastic Image Denoising by Sampling from the Posterior Distribution. - Myung-Jin Choi, Jae-Hyun Kim, Bonyong Koo, Seonho Cho:
Isogeometric Configuration Design Optimization of Three-dimensional Curved Beam Structures for Maximal Fundamental Frequency. - Noah Singer, Madhu Sudan:
Point-hyperplane incidence geometry and the log-rank conjecture. - Tae Jin Park, Naoyuki Kanda, Dimitrios Dimitriadis, Kyu Jeong Han, Shinji Watanabe, Shrikanth Narayanan:
A Review of Speaker Diarization: Recent Advances with Deep Learning. - Yuliana Jiménez-Gaona, María-José Rodríguez-Alvarez, Hector Espinó Morató, Darwin Castillo Malla, Vasudevan Lakshminarayanan:
DenseNet for Breast Tumor Classification in Mammographic Images. - Trinh Man Hoang, Jinjia Zhou, Yibo Fan:
Image Compression with Encoder-Decoder Matched Semantic Segmentation. - Anirudh Sridhar, Soummya Kar:
Mean-field Approximation for Stochastic Population Processes in Networks under Imperfect Information. - Brenda Vilas Boas, Wolfgang Zirwas, Martin Haardt:
Two-step Machine Learning Approach for Channel Estimation with Mixed Resolution RF Chains. - Dongyang Xu, Pinyi Ren:
Quantum Learning Based Nonrandom Superimposed Coding for Secure Wireless Access in 5G URLLC. - Adrien B. Taylor, Yoel Drori:
An optimal gradient method for smooth (possibly strongly) convex minimization. - Subhasish Basak, Sébastien Petit, Julien Bect, Emmanuel Vázquez:
Numerical issues in maximum likelihood parameter estimation for Gaussian process regression. - Sibendu Paul, Utsav Drolia, Y. Charlie Hu, Srimat T. Chakradhar:
AQuA: Analytical Quality Assessment for Optimizing Video Analytics Systems. - Tam Le, Truyen Nguyen:
Entropy Partial Transport with Tree Metrics: Theory and Practice. - James S. K. Tee, Desmond P. Taylor:
What If Memory Information is Stored Inside the Neuron, Instead of in the Synapse? - Jacob Price, Brek Meuris, Madelyn Shapiro, Panos Stinis:
Optimal renormalization of multi-scale systems. - Xiaoqi Ma:
Exploring ensembles and uncertainty minimization in denoising networks. - Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva, Lin Lin, Vernon M. Chinchilli:
NeurT-FDR: Controlling FDR by Incorporating Feature Hierarchy. - John C. Stevenson:
Population and Inequality Dynamics in Simple Economies. - Aaron B. Buhendwa, Stefan Adami, Nikolaus A. Adams:
Inferring incompressible two-phase flow fields from the interface motion using physics-informed neural networks. - Yiwei Wang, Teng-Fei Zhang, Chun Liu:
A two species micro-macro model of wormlike micellar solutions and its maximum entropy closure approximations: An energetic variational approach. - Shivam Pathak, Mingyi He, Sergey Malinchik, Stanislav Sobolevsky:
Pattern Ensembling for Spatial Trajectory Reconstruction. - Chen Zhao, Haipeng Tang, Daniel McGonigle, Zhuo He, Chaoyang Zhang, Yu-Ping Wang, Hong-Wen Deng, Robert Bober, Weihua Zhou:
A new approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms. - Stefan Wager, Kuang Xu:
Diffusion Asymptotics for Sequential Experiments. - Min Fu, Yong Zhou, Yuanming Shi, Ting Wang, Wei Chen:
UAV-Assisted Over-the-Air Computation. - Tao Li, Wang Bo, Chunyu Hu, Hong Kang, Hanruo Liu, Kai Wang, Huazhu Fu:
Applications of Deep Learning in Fundus Images: A Review. - Shi Guo, Zhetong Liang, Lei Zhang:
Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Images. - Xiuyuan Cheng, Nan Wu:
Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation. - Hui Zhang:
Extragradient and Extrapolation Methods with Generalized Bregman Distances for Saddle Point Problems. - Keno K. Bressem, Stefan Markus Niehues, Bernd Hamm, Marcus R. Makowski, Janis Lucas Vahldiek, Lisa C. Adams:
3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware. - K. E. Sengun, Y. T. Cetin, Mehmet Serdar Güzel, Serhat Can, Erkan Bostanci:
Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative Study. - Carlo Alberto Barbano, Daniele Perlo, Enzo Tartaglione, Attilio Fiandrotti, Luca Bertero, Paola Cassoni, Marco Grangetto:
UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading. - Johan Jonasson, Måns Magnusson:
Rapid mixing in unimodal landscapes and efficient simulatedannealing for multimodal distributions. - Manan Lalit, Pavel Tomancak, Florian Jug:
Embedding-based Instance Segmentation of Microscopy Images. - Cyrille W. Combettes, Sebastian Pokutta:
Complexity of Linear Minimization and Projection on Some Sets. - Shalosh B. Ekhad, Christoph Koutschan, Doron Zeilberger:
There are EXACTLY 1493804444499093354916284290188948031229880469556 Ways to Derange a Standard Deck of Cards (ignoring suits) [and many other such useful facts]. - Mohamed Hibat-Allah, Estelle M. Inack, Roeland Wiersema, Roger G. Melko, Juan Carrasquilla:
Variational Neural Annealing. - In-Soo Kim, Junil Choi:
Performance of Cell-Free MmWave Massive MIMO Systems with Fronthaul Compression and DAC Quantization. - In-Soo Kim, Junil Choi:
Spatial Wideband Channel Estimation for MmWave Massive MIMO Systems with Hybrid Architectures and Low-Resolution ADCs. - Yuanzhuo Li, Yunan Zheng, Jie Chen, Zhenyu Xu, Yiguang Liu:
Learning Structral coherence Via Generative Adversarial Network for Single Image Super-Resolution. - Arnaud Boutillon, Bhushan Borotikar, Christelle Pons, Valérie Burdin, Pierre-Henri Conze:
Multi-Structure Deep Segmentation with Shape Priors and Latent Adversarial Regularization. - Enver Kaan Alpturk, Yakup Kutlu:
Analysis of Relation between Motor Activity and Imaginary EEG Records. - Carlo Alberto Barbano, Enzo Tartaglione, Claudio Berzovini, Marco Calandri, Marco Grangetto:
A two-step explainable approach for COVID-19 computer-aided diagnosis from chest x-ray images. - Jian-Qing Zheng, Ngee Han Lim, Bartlomiej W. Papiez:
D-Net: Siamese based Network with Mutual Attention for Volume Alignment. - P. A. M. Casares, Roberto Campos, M. A. Martin-Delgado:
QFold: Quantum Walks and Deep Learning to Solve Protein Folding. - Nikolaos Athanasios Anagnostopoulos:
The Role of Cost in the Integration of Security Features in Integrated Circuits for Smart Cards. - Myeung Suk Oh, Seyyedali Hosseinalipour, Taejoon Kim, Christopher G. Brinton, David J. Love:
Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach. - Stefan Kindermann, A. Leitao:
Regularization by dynamic programming. - Muyuan Chen, Steven J. Ludtke:
Deep learning based mixed-dimensional GMM for characterizing variability in CryoEM. - Oron Sabag, Babak Hassibi:
Regret-Optimal Filtering. - Tze-Yang Tung, Joan S. Pujol Roig, Szymon Kobus, Deniz Gündüz:
A Joint Learning and Communication Framework for Multi-Agent Reinforcement Learning over Noisy Channels. - Cagri Ozcinar, Aakanksha Rana:
Quality Assessment of Super-Resolved Omnidirectional Image Quality Using Tangential Views. - Yang Wan, Alice Lux-Fawzi, Haneesh Kesari:
Determining rigid body motion from accelerometer data through the square-root of a negative semi-definite tensor, with applications in mild traumatic brain injury. - Dominique Laurain, Daniel Jaud, Dan Reznik:
Poncelet Propellers: Invariant Total Blade Area. - Axel Wismüller, M. Ali Vosoughi:
Classification of Schizophrenia from Functional MRI Using Large-scale Extended Granger Causality. - Spencer Breiner, John S. Nolan:
Symmetric Monoidal Categories with Attributes. 33-48 - Bryce Clarke:
A diagrammatic approach to symmetric lenses. 79-91 - Michael Johnson, Robert D. Rosebrugh:
The more legs the merrier: A new composition for symmetric (multi-)lenses. 92-107 - Henry Adams, Johnathan Bush, Joshua Mirth:
Operations on Metric Thickenings. 261-275 - Geoffrey S. H. Cruttwell, Jonathan Gallagher, Dorette Pronk:
Categorical semantics of a simple differential programming language. 289-310 - Sida Yuan, Reiichiro Kawai:
Numerical aspects of shot noise representation of infinitely divisible laws and related processes. - In-Koo Cho, Jonathan Libgober:
Iterative Weak Learnability and Multi-Class AdaBoost. - Iyanuoluwa Emiola, Robson Adem:
Comparison of Optimization Methods with Application to a Network Containing Malicious Agents. - Pavel Loskot:
pdfPapers: shell-script utilities for frequency-based multi-word phrase extraction from PDF documents. - Snehal Rajput, Rupal Agravat, Mohendra Roy, Mehul S. Raval:
Glioblastoma Multiforme Patient Survival Prediction. - Rupal Agravat, Mehul S. Raval:
A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction. - Michael J. Bianco, Sharon Gannot, Efren Fernandez-Grande, Peter Gerstoft:
Semi-supervised source localization in reverberant environments with deep generative modeling. - Jie Zhu, Blanca Gallego:
CDSM - Casual Inference using Deep Bayesian Dynamic Survival Models. - Daniela Alessandra Zaidenberg, Alessandro Sebastianelli, Dario Spiller, Silvia Liberata Ullo:
Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing. - Xin He, Shihao Wang, Guohao Ying, Jiyong Zhang, Xiaowen Chu:
Efficient Multi-objective Evolutionary 3D Neural Architecture Search for COVID-19 Detection with Chest CT Scans. - Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka:
Leveraging 3D Information in Unsupervised Brain MRI Segmentation. - Joseph Lehec:
The Langevin Monte Carlo algorithm in the non-smooth log-concave case. - Pedro Cadahía, Jose Manuel Bravo Caro:
Short-term prediction of Time Series based on bounding techniques. - Shaun P. Hargreaves Heap, Mehmet S. Ismail:
Liberalism, rationality, and Pareto optimality. - Jie Zhu, Blanca Gallego:
Dynamic prediction of time to event with survival curves. - Xiaowei Xu, Tianchen Wang, Jian Zhuang, Haiyun Yuan, Meiping Huang, Jianzheng Cen, Qianjun Jia, Yuhao Dong, Yiyu Shi:
ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease. - (Withdrawn) Spread and defend infection in graphs.
- Jun Ma:
Loss Ensembles for Extremely Imbalanced Segmentation. - Mriganka Nath, Subhasish Goswami:
Toxicity Detection in Drug Candidates using Simplified Molecular-Input Line-Entry System. - Mehmet Cagri Ilter, Alexis A. Dowhuszko, Jyri Hämäläinen, Risto Wichman:
Visible light communication-based monitoring for indoor environments using unsupervised learning. - Fardin Ghorbani, Sina Beyraghi, Javad Shabanpour, Homayoon Oraizi, Hossein Soleimani, Mohammad Soleimani:
Deep neural network-based automatic metasurface design with a wide frequency range. - William E. Leeb:
On the robustness of certain norms. - Navjodh Singh Dhillon, Agustinus Sutandi, Manoj Vishwanath, Miranda M. Lim, Hung Cao, Dong Si:
A Raspberry Pi-based Traumatic Brain Injury Detection System for Single-Channel Electroencephalogram. - Florenc Demrozi, Cristian Turetta, Graziano Pravadelli:
B-HAR: an open-source baseline framework for in depth study of human activity recognition datasets and workflows. - Rasika Karkare, Randy C. Paffenroth, Gunjan Mahindre:
Blind Image Denoising and Inpainting Using Robust Hadamard Autoencoders. - Jiatong Shi, Jonathan D. Amith, Rey Castillo García, Esteban Guadalupe Sierra, Kevin Duh, Shinji Watanabe:
Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yoloxóchitl Mixtec. - Fares Fourati, Mohamed-Slim Alouini:
Artificial Intelligence for Satellite Communication: A Review. - Ge Liu, Brandon Carter, David K. Gifford:
Maximum n-times Coverage for COVID-19 Vaccine Design. - Tristan M. Gottschalk, Andreas Maier, Florian Kordon, Björn W. Kreher:
Learning-Based Patch-Wise Metal Segmentation with Consistency Check. - Greg Olmschenk, Stela Ishitani Silva, Gioia Rau, Richard K. Barry, Ethan Kruse, Luca Cacciapuoti, Veselin B. Kostov, Brian P. Powell, Edward Wyrwas, Jeremy D. Schnittman, Thomas Barclay:
Identifying Planetary Transit Candidates in TESS Full-Frame Image Light Curves via Convolutional Neural Networks. - Ce Zhang, Young-Keun Kim, Azim Eskandarian:
EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery Classification. - Yi Wei, Cristian Tiu, Vipin Chaudhary:
Absolute Value Constraint: The Reason for Invalid Performance Evaluation Results of Neural Network Models for Stock Price Prediction. - Alicia Curth, Mihaela van der Schaar:
Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms. - Gokhan Altan, Yakup Kutlu, Yusuf Garbi, Adnan Özhan Pekmezci, Serkan Nural:
Multimedia Respiratory Database (RespiratoryDatabase@TR): Auscultation Sounds and Chest X-rays. - Peter Kasprzak, Lachlan Mitchell, Olena Kravchuk, Andy Timmins:
Six Years of Shiny in Research - Collaborative Development of Web Tools in R. - Ali Amiryousefi:
Asymptotic Supervised Predictive Classifiers under Partition Exchangeability. - Wei Zhong Goh, Varun Ursekar, Marc W. Howard:
Predicting the future with a scale-invariant temporal memory for the past. - Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra:
Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The Case of Distributed Linear Regression Problem. - David Ittah, Thomas Häner, Vadym Kliuchnikov, Torsten Hoefler:
Enabling Dataflow Optimization for Quantum Programs. - Jelena Diakonikolas, Cristóbal Guzmán:
Complementary Composite Minimization, Small Gradients in General Norms, and Applications to Regression Problems. - Matthias Bauer, Andriy Mnih:
Generalized Doubly Reparameterized Gradient Estimators. - Johannes J. Brust, Roummel F. Marcia, Cosmin G. Petra, Michael A. Saunders:
Large-scale Optimization with Linear Equality Constraints using Reduced Compact Representation. - Dhruv Kohli, Alexander Cloninger, Gal Mishne:
LDLE: Low Distortion Local Eigenmaps. - Keith A. Burghardt, Allon G. Percus, Kristina Lerman:
A Model of Densifying Collaboration Networks. - Honghao Fu, Carl A. Miller, William Slofstra:
The membership problem for constant-sized quantum correlations is undecidable. - Shuyu Dong, Bin Gao, Yu Guan, François Glineur:
New Riemannian preconditioned algorithms for tensor completion via polyadic decomposition. - Su Yeon Chang, Sofia Vallecorsa, Elías F. Combarro, Federico Carminati:
Quantum Generative Adversarial Networks in a Continuous-Variable Architecture to Simulate High Energy Physics Detectors. - Prabhakara Subramanya Jois, Aniketh Manjunath, Thomas Fevens:
Boosting Segmentation Performance across datasets using histogram specification with application to pelvic bone segmentation. - Shanshan Xie, Tim Hillel, Ying Jin:
An Early Stopping Bayesian Data Assimilation Approach for Mixed-Logit Estimation. - Samuel E. Otto, Clarence W. Rowley:
Inadequacy of Linear Methods for Minimal Sensor Placement and Feature Selection in Nonlinear Systems; a New Approach Using Secants. - David Issa Mattos, Érika Martins Silva Ramos:
Bayesian Paired-Comparison with the bpcs Package. - Haochen Mei, Wenhui Lei, Ran Gu, Shan Ye, Zhengwentai Sun, Shichuan Zhang, Guotai Wang:
Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention. - Abraham Gutierrez, Sebastian Müller, Stjepan Sebek:
On asymptotic fairness in voting with greedy sampling. - Florian Heyder, Jörg Schumacher:
Echo State Network for two-dimensional turbulent moist Rayleigh-Bénard convection. - Jie Lei, Tousif Rahman, Rishad A. Shafik, Adrian Wheeldon, Alex Yakovlev, Ole-Christoffer Granmo, Fahim Kawsar, Akhil Mathur:
Low-Power Audio Keyword Spotting using Tsetlin Machines. - Francesco Picetti, Vincenzo Lipari, Paolo Bestagini, Stefano Tubaro:
Anti-Aliasing Add-On for Deep Prior Seismic Data Interpolation. - Alexander J. McCaskey, Thien Nguyen:
A MLIR Dialect for Quantum Assembly Languages. - Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Fuyuta Komura, Takeshi Katsura, Yoshinobu Kawahara:
Reproducing kernel Hilbert C*-module and kernel mean embeddings. - Johann Sienz, Mauro Sebastián Innocente:
Individual and Social Behaviour in Particle Swarm Optimizers. - Wanqi Hu, Dicheng Chen, Tianyu Qiu, Hao Chen, Xi Chen, Lin Yang, Gen Yan, Di Guo, Xiaobo Qu:
Denoising Single Voxel Magnetic Resonance Spectroscopy with Deep Learning on Repeatedly Sampled In Vivo Data. - Z. X. Lian:
A study on information behavior of scholars for article keywords selection. - Minsu Jang, Sangwon Seo, Dohyung Kim, Jaeyeon Lee, Jaehong Kim, Jun-Hwan Ahn:
VOTE400(Voide Of The Elderly 400 Hours): A Speech Dataset to Study Voice Interface for Elderly-Care. - Lin Xie, Hanyi Li, Laurin Luttmann:
Formulating and solving integrated order batching and routing in multi-depot AGV-assisted mixed-shelves warehouses. - Mike Pereira, Pinar Boyraz Baykas, Balázs Kulcsár, Annika Lang:
Parameter and density estimation from real-world traffic data: A kinetic compartmental approach. - George Jeffreys, Siu-Cheong Lau:
Kähler Geometry of Quiver Varieties and Machine Learning. - Giuseppe Cerati, Peter Elmer, Brian J. Gravelle, Matti Kortelainen, Vyacheslav Krutelyov, Steven Lantz, Mario Masciovecchio, Kevin McDermott, Boyana Norris, Allison Reinsvold Hall, Micheal Reid, Daniel Riley, Matevz Tadel, Peter Wittich, Bei Wang, Frank Würthwein, Avraham Yagil:
Parallelizing the Unpacking and Clustering of Detector Data for Reconstruction of Charged Particle Tracks on Multi-core CPUs and Many-core GPUs. - Yash Kumar, Pranav Bahl, Souvik Chakraborty:
State estimation with limited sensors - A deep learning based approach. - Shin-nosuke Ishikawa, Hideaki Matsumura, Yasunobu Uchiyama, Lindsay Glesener:
Automatic Detection of Occulted Hard X-ray Flares Using Deep-Learning Methods. - Rasha U. Abbasi, Markus Ackermann, Jenni Adams, Juan Antonio Aguilar Sánchez, Markus Ahlers, Markus Ahrens, Cyril Martin Alispach, Antonio Augusto Alves Jr., Najia Moureen Amin, Rui An, Karen Andeen, Tyler Anderson, I. Ansseau, Gisela Anton, Carlos A. Argüelles, Spencer Axani, Xinhua Bai, Aswathi Balagopal V., Anastasia Maria Barbano, Steven W. Barwick, Benjamin Bastian, Vedant Basu, Volker Baum, S. Baur, Ryan Bay, James J. Beatty, Karl-Heinz Becker, Julia K. Becker Tjus, Chiara Bellenghi, Segev BenZvi, David Berley, Elisa Bernardini, David Z. Besson, Gary Binder, Daniel Bindig, Erik Blaufuss, Summer Blot, Sebastian Böser, Olga Botner, Jakob Böttcher, Etienne Bourbeau, J. Bourbeau, Federica Bradascio, J. Braun, Stephanie Bron, Jannes Brostean-Kaiser, Alexander Burgman, Raffaela S. Busse, Michael A. Campana, Chujie Chen, Dmitry Chirkin, S. Choi, B. A. Clark, Ken Clark, Lew Classen, Alan Coleman, Gabriel H. Collin, Janet Marie Conrad, Paul Coppin, Pablo Correa, Doug F. Cowen, R. Cross, Pranav Dave, Catherine De Clercq, James DeLaunay, Hans Dembinski, Kunal Deoskar, Sam De Ridder, Abhishek Desai, Paolo Desiati, Krijn D. de Vries, Gwenhaël de Wasseige, Meike de With, Tyce DeYoung, Sukeerthi Dharani, Alejandro Diaz, Juan Carlos Díaz-Vélez, Hrvoje Dujmovic, Matthew Dunkman, Michael A. DuVernois, Emily Dvorak, Thomas Ehrhardt, Philipp Eller, Ralph Engel, John Evans, Paul A. Evenson, S. Fahey, Ali R. Fazely, Sebastian Fiedlschuster, Aaron Fienberg, Kirill Filimonov, Chad Finley, Leander Fischer, Derek Fox, Anna Franckowiak, Elizabeth Friedman, Alexander Fritz, Philipp Fürst, Thomas K. Gaisser, Joseph S. Gallagher, Erik Ganster, Simone Garrappa:
A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory. - Einav Yogev-Ofer, Tom Tirer, Raja Giryes:
An Interpretation of Regularization by Denoising and its Application with the Back-Projected Fidelity Term. - Yoav Alon, Huiyu Zhou:
Synthetic Generation of Three-Dimensional Cancer Cell Models from Histopathological Images. - Manuel Tiglio, Aarón Villanueva:
Reduced Order and Surrogate Models for Gravitational Waves. - Donghyun Kim:
Predicting Participation in Cancer Screening Programs with Machine Learning. - Seyedeh-Zahra Mousavi Kouzehkanan, Islam Tavakoli, Arezoo Alipanah:
Easy-GT: Open-Source Software to Facilitate Making the Ground Truth for White Blood Cells Nucleus. - Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Giuseppe Blasi, Leonardo Fazio, Antonio Rampino, Alessandro Bertolino, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman:
G-MIND: An End-to-End Multimodal Imaging-Genetics Framework for Biomarker Identification and Disease Classification. - Sebastian Farquhar, Yarin Gal, Tom Rainforth:
On Statistical Bias In Active Learning: How and When To Fix It. - Tejas Bhojraj:
Prefix-free quantum Kolmogorov complexity. - Urban Larsson, Richard J. Nowakowski, Carlos Pereira dos Santos:
Impartial games with entailing moves. - Joe P. J. Chen, Kevin E. Schmidt, John C. H. Spence, Richard A. Kirian:
A new solution to the curved Ewald sphere problem for 3D image reconstruction in electron microscopy. - James E. Powell, Kari Sentz:
Tracking Short-Term Temporal Linguistic Dynamics to Characterize Candidate Therapeutics for COVID-19 in the CORD-19 Corpus. - Yue Leng, Sarah Calve, Adrian Buganza Tepole:
Predicting the Mechanical Properties of Fibrin Using Neural Networks Trained on Discrete Fiber Network Data. - Loris Nanni, Alessandra Lumini, Sheryl Brahnam:
Neural networks for Anatomical Therapeutic Chemical (ATC). - Eric Cosatto, Kyle Gerard, Hans Peter Graf, Maki Ogura, Tomoharu Kiyuna, Kanako C. Hatanaka, Yoshihiro Matsuno, Yutaka Hatanaka:
A Multi-Scale Conditional Deep Model for Tumor Cell Ratio Counting. - Johannes J. Brust, Mihai Anitescu:
Convergence Analysis of Fixed Point Chance Constrained Optimal Power Flow Problems. - Pall Asgeir Bjornsson, Benedikt Helgason, Halldor Pálsson, Sigurdur Sigurdsson, Vilmundur Gudnason, Lotta Maria Ellingsen:
Automated femur segmentation from computed tomography images using a deep neural network. - Lukasz G. Gajewski, Jan Choloniewski, Mateusz Wilinski:
Detecting Hidden Layers from Spreading Dynamics on Complex Networks. - Aristeidis Seretis, Costas D. Sarris:
An Overview of Machine Learning Techniques for Radiowave Propagation Modeling. - Can Xu, Ahmed M. Alaa, Ioana Bica, Brent D. Ershoff, Maxime Cannesson, Mihaela van der Schaar:
Learning Matching Representations for Individualized Organ Transplantation Allocation. - Ningtao Liu:
Chronological age estimation of lateral cephalometric radiographs with deep learning. - Tengyuan Liang, Benjamin Recht:
Interpolating Classifiers Make Few Mistakes. - Nathanael L. Ackerman, Cameron E. Freer, Rehana Patel:
On computable aspects of algebraic and definable closure. - Kiichi Goto, Taikan Suehara, Tamaki Yoshioka, Masakazu Kurata, Hajime Nagahara, Yuta Nakashima, Noriko Takemura, Masako Iwasaki:
Development of a Vertex Finding Algorithm using Recurrent Neural Network. - Borja S. González, Rúben Conceição, Mário Pimenta, Bernardo Tomé, Alberto Guillén:
Tackling the muon identification in water Cherenkov detectors problem for the future Southern Wide-field Gamma-ray Observatory by means of Machine Learning. - Mazen Ali, Anthony Nouy:
Approximation with Tensor Networks. Part III: Multivariate Approximation. - Matteo Pennisi, Isaak Kavasidis, Concetto Spampinato, Vincenzo Schininà, Simone Palazzo, Francesco Rundo, Massimo Cristofaro, Paolo Campioni, Elisa Pianura, Federica Di Stefano, Ada Petrone, Fabrizio Albarello, Giuseppe Ippolito, Salvatore Cuzzocrea, Sabrina Conoci:
An Explainable AI System for Automated COVID-19 Assessment and Lesion Categorization from CT-scans. - Sander van Cranenburgh, Shenhao Wang, Akshay Vij, Francisco Pereira, Joan Walker:
Choice modelling in the age of machine learning. - Nikolay Stulov, Michael Chertkov:
Neural Particle Image Velocimetry. - Chengcheng Xu, Bruno Clerckx, Jianyun Zhang:
Multi-Antenna Joint Radar and Communications: Precoder Optimization and Weighted Sum-Rate vs Probing Power Tradeoff. - Holger Dette, Anatoly Zhigljavsky:
Reproducing kernel Hilbert spaces, polynomials and the classical moment problems. - Wei Zeng, Chengqiao Lin, Kang Liu, Juncong Lin, Anthony K. H. Tung:
Modeling Spatial Nonstationarity via Deformable Convolutions for Deep Traffic Flow Prediction. - Marius Krumm, Markus P. Müller:
Computational irreducibility and compatibilism: towards a formalization. - Amitojdeep Singh, Sourya Sengupta, Mohammed Abdul Rasheed, Varadharajan Jayakumar, Vasudevan Lakshminarayanan:
Uncertainty aware and explainable diagnosis of retinal disease. - Jelena Diakonikolas, Puqian Wang:
Potential Function-based Framework for Making the Gradients Small in Convex and Min-Max Optimization. - Andrew Myers, Ann S. Almgren, Ligia Diana Amorim, John B. Bell, Luca Fedeli, Lixin Ge, Kevin Gott, David P. Grote, Mark J. Hogan, Axel Huebl, Revathi Jambunathan, Rémi Lehe, Cho-Kuen Ng, Michael E. Rowan, Olga Shapoval, Maxence Thévenet, Jean-Luc Vay, Henri Vincenti, Eloise Yang, Neïl Zaïm, Weiqun Zhang, Yinjian Zhao, Edoardo Zoni:
Porting WarpX to GPU-accelerated platforms. - Haowei Shi, Min-Hsiu Hsieh, Saikat Guha, Zheshen Zhang, Quntao Zhuang:
Entanglement-assisted multiple-access channels: capacity regions and protocol designs. - Xuanqiang Zhao, Benchi Zhao, Zihe Wang, Zhixin Song, Xin Wang:
LOCCNet: a machine learning framework for distributed quantum information processing. - Hariharan Narayanan, Rikhav Shah, Nikhil Srivastava:
A Spectral Approach to Polytope Diameter. - Cristofer Quiroz, Yasna Barrera Saavedra, Benjamín Armijo-Galdames, Juan Amado-Hinojosa, Alvaro Olivera-Nappa, Anamaria Sanchez-Daza, David Medina-Ortiz:
Peptipedia: a comprehensive database for peptide research supported by Assembled predictive models and Data Mining approaches. - Felipe Montealegre-Mora, Denis Rosset, Jean-Daniel Bancal, David Gross:
Certifying Numerical Decompositions of Compact Group Representations. - Joshua Bassey, Lijun Qian, Xiangfang Li:
A Survey of Complex-Valued Neural Networks. - Georges Sfeir, Filipe Rodrigues, Maya Abou-Zeid:
Gaussian Process Latent Class Choice Models. - Aysen Degerli, Mete Ahishali, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj:
Reliable COVID-19 Detection Using Chest X-ray Images. - Anton Golov, Sebastiaan A. Terwijn:
Fixpoints and relative precompleteness. - Elchanan Solomon, Alexander Wagner, Paul Bendich:
From Geometry to Topology: Inverse Theorems for Distributed Persistence. - Fábio Botler, Carlos Hoppen, Guilherme Oliveira Mota:
Counting orientations of graphs with no strongly connected tournaments. - Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour:
A Petri Dish for Histopathology Image Analysis. - Jonathan W. Siegel, Jinchao Xu:
Optimal Approximation Rates and Metric Entropy of ReLU$^k$ and Cosine Networks. - Jiajun Liang, Chuyang Ke, Jean Honorio:
Information Theoretic Limits of Exact Recovery in Sub-hypergraph Models for Community Detection. - Shane T. Barratt, Yining Dong, Stephen P. Boyd:
Low Rank Forecasting. - Shane T. Barratt, Stephen P. Boyd:
Covariance Prediction via Convex Optimization. - Kaushik Senthoor, Pradeep Kiran Sarvepalli:
Theory of Communication Efficient Quantum Secret Sharing. - Chenghao Chen, Hao Li:
Robust Representation Learning with Feedback for Single Image Deraining. - Nathalie Aubrun, Jarkko Kari:
Addendum to "Tilings problems on Baumslag-Solitar groups". - Chengyang Zhou, Thao Vy Dinh, Heyi Kong, Jonathan Yap, Khung Keong Yeo, Hwee Kuan Lee, Kaicheng Liang:
Automated Deep Learning Analysis of Angiography Video Sequences for Coronary Artery Disease. - Vlad Landa, Yuval Reuveni:
Low Dimensional Convolutional Neural Network For Solar Flares GOES Time Series Classification. - Daniela Calvetti, B. Johnson, Annalisa Pascarella, Francesca Pitolli, Erkki Somersalo, Barbara Vantaggi:
Mining the Mind: Linear Discriminant Analysis of MEG source reconstruction time series supports dynamic changes in deep brain regions during meditation sessions. - Shi-Liang Wu, Cui-Xia Li:
Sufficient conditions for the unique solution of a class of new Sylvester-like absolute value equation. - Sachin Kasture:
Discovering dependencies in complex physical systems using Neural Networks. - Emmanuel Abbe, Elisabetta Cornacchia, Yuzhou Gu, Yury Polyanskiy:
Stochastic block model entropy and broadcasting on trees with survey. - Francesco Piccioli, Giulia Bertaglia, Alessandro Valiani, Valerio Caleffi:
Modeling blood flow in networks of viscoelastic vessels with the 1D augmented fluid-structure interaction system. - Tali Kaufman, Ran J. Tessler:
Local to global high dimensional expansion and Garland's method for general posets. - Tobias Knopp, Mirco Grosser:
MRIReco.jl: An MRI Reconstruction Framework written in Julia. - Hannes Köhler, Andreas Christmann:
Total Stability of SVMs and Localized SVMs. - Bart H. L. Overes, Michel van der Wel:
Modelling Sovereign Credit Ratings: Evaluating the Accuracy and Driving Factors using Machine Learning Techniques. - Benoît Pairet, Faustine Cantalloube, Laurent Jacques:
Morphological components analysis for circumstellar disks imaging. - Jan Kronqvist, Ruth Misener, Calvin Tsay:
Between steps: Intermediate relaxations between big-M and convex hull formulations. - Juste Raimbault:
Strong coupling between scales in a multi-scalar model of urban dynamics. - Martin Kocour, Guillermo Cámbara, Jordi Luque, David Bonet, Mireia Farrús, Martin Karafiát, Karel Veselý, Jan Honza Cernocký:
BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge. - David Bonet, Guillermo Cámbara, Fernando López, Pablo Gómez, Carlos Segura, Jordi Luque:
Speech Enhancement for Wake-Up-Word detection in Voice Assistants. - Albert Atserias, Phokion G. Kolaitis, Wei-Lin Wu:
On the Expressive Power of Homomorphism Counts. - Xiaolun Jia, Xiangyun Zhou:
Power Beacon Placement for Maximizing Guaranteed Coverage in Bistatic Backscatter Networks. - Hardik Tankaria, Shinji Sugimoto, Nobuo Yamashita:
A Regularized Limited Memory BFGS method for Large-Scale Unconstrained Optimization and its Efficient Implementations. - Nazim Fatès, Irène Marcovici, Siamak Taati:
Self-stabilisation of cellular automata on tilings. - Supriyo Bandyopadhyay:
Nanomagnetic Boolean Logic - The Tempered (and Realistic) Vision. - Jhonatan Tavori, Hanoch Levy:
Super-Spreaders Out, Super-Spreading In: The Effects of Infectiousness Heterogeneity and Lockdowns on Herd Immunity.
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