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ORCIDCoRR, May 2020
- Michael A. Lepori, Tal Linzen, R. Thomas McCoy:
Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs. - Firoj Alam, Shaden Shaar, Alex Nikolov, Hamdy Mubarak, Giovanni Da San Martino, Ahmed Abdelali, Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Kareem Darwish, Preslav Nakov:
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society. - Mohsen Mesgar, Edwin Simpson, Yue Wang, Iryna Gurevych:
Generating Persona-Consistent Dialogue Responses Using Deep Reinforcement Learning. - Wenhan Xiong, Hong Wang, William Yang Wang:
Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering. - Maharshi R. Pandya, Jessica Reyes, Bob Vanderheyden:
Method for Customizable Automated Tagging: Addressing the Problem of Over-tagging and Under-tagging Text Documents. - Georgios Bakirtzis, Garrett L. Ward, Christopher J. Deloglos, Carl R. Elks, Barry M. Horowitz, Cody H. Fleming:
Fundamental Challenges of Cyber-Physical Systems Security Modeling. - David B. Lomet, Chen Luo:
Efficiently Reclaiming Space in a Log Structured Store. - Sivasurya Santhanam:
Context based Text-generation using LSTM networks. - Andrey Kutuzov, Mario Giulianelli:
UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change Detection. - Andreas Lenz, Lorenz Welter, Sven Puchinger:
Achievable Rates of Concatenated Codes in DNA Storage under Substitution Errors. - Jonas Pfeiffer, Ivan Vulic, Iryna Gurevych, Sebastian Ruder:
MAD-X: An Adapter-based Framework for Multi-task Cross-lingual Transfer. - Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu:
APo-VAE: Text Generation in Hyperbolic Space. - Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David S. Doermann:
CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks. - Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin:
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness. - Yiding Hao:
Attribution Analysis of Grammatical Dependencies in LSTMs. - Divya Saxena, Jiannong Cao:
Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions. - Pulkit Nahata, Giancarlo Ferrari-Trecate:
On Existence of Equilibria, Voltage Balancing, and Current Sharing in Consensus-Based DC Microgrids. - Ronan Riochet, Josef Sivic, Ivan Laptev, Emmanuel Dupoux:
Occlusion resistant learning of intuitive physics from videos. - Sarah Anne Kushner, Risa Ulinski, Karan Singh, David I. W. Levin, Alec Jacobson:
Levitating Rigid Objects with Hidden Support Structures. - Sinan Özgür Özgün, Anne-Marie Rickmann, Abhijit Guha Roy, Christian Wachinger:
Importance Driven Continual Learning for Segmentation Across Domains. - Guimu Guo, Da Yan, M. Tamer Özsu, Zhe Jiang:
Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach. - Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych:
Aspect-Controlled Neural Argument Generation. - Anoop Kunchukuttan, Divyanshu Kakwani, Satish Golla, Gokul N. C.
, Avik Bhattacharyya, Mitesh M. Khapra, Pratyush Kumar:
AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages. - Thy Thy Tran, Phong Le, Sophia Ananiadou:
Revisiting Unsupervised Relation Extraction. - David-Alexandre Beaupré, Guillaume-Alexandre Bilodeau:
Domain Siamese CNNs for Sparse Multispectral Disparity Estimation. - Stanislaw Saganowski, Przemyslaw Kazienko, Maciej Dziezyc, Patrycja Jakimów, Joanna Komoszynska, Weronika Michalska, Anna Dutkowiak, Adam G. Polak, Adam Dziadek, Michal Ujma:
Review of Consumer Wearables in Emotion, Stress, Meditation, Sleep, and Activity Detection and Analysis. - Ivan Gonzalez, Rustum Choksi, Jean-Christophe Nave:
A simple geometric method for navigating the energy landscape of centroidal Voronoi tessellations. - Austin Clyde, Tom Brettin, Alexander Partin, Maulik Shaulik, Hyun Seung Yoo, Yvonne A. Evrard, Yitan Zhu, Fangfang Xia, Rick Stevens:
A Systematic Approach to Featurization for Cancer Drug Sensitivity Predictions with Deep Learning. - Alexander Gutkin, Tatiana Merkulova, Martin Jansche:
Linguistic Typology Features from Text: Inferring the Sparse Features of World Atlas of Language Structures. - Nur Geffen Lan, Emmanuel Chemla, Shane Steinert-Threlkeld:
On the Spontaneous Emergence of Discrete and Compositional Signals. - Vinícius M. A. de Souza, Denis Moreira dos Reis, André Gustavo Maletzke, Gustavo E. A. P. A. Batista:
Challenges in Benchmarking Stream Learning Algorithms with Real-world Data. - Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, Byron C. Wallace:
Learning to Faithfully Rationalize by Construction. - Bhuvan Malladihalli Shashidhara, Darshan Mehta, Yash Kale, Dan Morris, Megan Hazen:
Sequence Information Channel Concatenation for Improving Camera Trap Image Burst Classification. - Raviteja Anantha, Srinivas Chappidi, William Dawoodi:
Learning to Rank Intents in Voice Assistants. - Liliana I. Carvalho, Daniel Maniglia A. da Silva, Rute C. Sofia:
Leveraging Context-awareness to Better Support the IoT Cloud-Edge Continuum. - Raghunandan M. Rao, Vuk Marojevic, Jeffrey H. Reed:
Probability of Pilot Interference in Pulsed Radar-Cellular Coexistence: Fundamental Insights on Demodulation and Limited CSI Feedback. - Dinesh Raghu, Nikhil Gupta, Mausam:
Unsupervised Learning of KB Queries in Task Oriented Dialogs. - Shigang Li, Tal Ben-Nun, Dan Alistarh, Salvatore Di Girolamo, Nikoli Dryden, Torsten Hoefler:
Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging. - Hans Dermot Doran, Monika Reif, Marco Oehler, Curdin Stoehr, Pierluigi Capone:
Conceptual Design of Human-Drone Communication in Collaborative Environments. - Patrick Xia, João Sedoc, Benjamin Van Durme:
Revisiting Memory-Efficient Incremental Coreference Resolution. - Gideon Maillette de Buy Wenniger, Thomas van Dongen, Eleri Aedmaa, Herbert Teun Kruitbosch, Edwin A. Valentijn, Lambert Schomaker:
Structure-Tags Improve Text Classification for Scholarly Document Quality Prediction. - Thanos Tagaris, Andreas Stafylopatis:
Hide-and-Seek: A Template for Explainable AI. - Daniel Lokshtanov, Saket Saurabh, Vaishali Surianarayanan:
A Parameterized Approximation Scheme for Min k-Cut. - Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu:
Contextual Text Style Transfer. - Emanuele Di Pascale, Hamed Ahmadi, Linda Doyle, Irene Macaluso:
Towards scalable user-deployed ultra-dense networks: Blockchain-enabled small cells as a service. - Dariusz Dereniowski, Aleksander Lukasiewicz, Przemyslaw Uznanski:
An Efficient Noisy Binary Search in Graphs via Median Approximation. - Pau Ching Yap, Hippolyt Ritter, David Barber:
Bayesian Online Meta-Learning with Laplace Approximation. - Yasumasa Onoe, Greg Durrett:
Interpretable Entity Representations through Large-Scale Typing. - Sabah Al-Fedaghi:
Three Levels of Modeling: Static (Structure/Trajectories of Flow), Dynamic (Events) and Behavioral (Chronology of Events). - (Withdrawn) Neural Entity Summarization with Joint Encoding and Weak Supervision.
- (Withdrawn) Enriching Documents with Compact, Representative, Relevant Knowledge Graphs.
- Ziaur Rahman, Anjela Diana Corraya, Mousumi Akter Sumi, Ali Newaz Bahar:
A Novel Structure of Advance Encryption Standard with 3-Dimensional Dynamic S-box and Key Generation Matrix. - Mohammed Maree, Mohammed Belkhatir:
On the Merging of Domain-Specific Heterogeneous Ontologies using Wordnet and Web Pattern-based Queries. - Pratyush Maini, Keshav Kolluru, Danish Pruthi, Mausam:
Why and when should you pool? Analyzing Pooling in Recurrent Architectures. - Jorge Piazentin Ono, Sonia Castelo, Roque Lopez, Enrico Bertini, Juliana Freire, Cláudio T. Silva:
PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines. - Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations. - Sajad Sotudeh, Nazli Goharian, Ross W. Filice:
Attend to Medical Ontologies: Content Selection for Clinical Abstractive Summarization. - Forrest Davis, Marten van Schijndel:
Recurrent Neural Network Language Models Always Learn English-Like Relative Clause Attachment. - Martin A. Sehr, Wei Xi Xia, Prithvi Akella, Juan Aparicio Ojea, Eugen Solowjow:
Information-Collection in Robotic Process Monitoring: An Active Perception Approach. - Davide Bilò, Luciano Gualà, Stefano Leucci, Guido Proietti, Giacomo Scornavacca:
Cutting Bamboo Down to Size. - Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth:
Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text. - Pedro Rodríguez, Paul A. Crook, Seungwhan Moon, Zhiguang Wang:
Information Seeking in the Spirit of Learning: a Dataset for Conversational Curiosity. - Piotr Jurkiewicz:
Evaluation of Elephant-based Algorithms for Flow Table Reduction under Realistic Traffic Distributions. - Liwei Song, Xinwei Yu, Hsuan-Tung Peng, Karthik Narasimhan:
Universal Adversarial Attacks with Natural Triggers for Text Classification. - Richard Antonello, Javier Turek, Alexander Huth:
Selecting Informative Contexts Improves Language Model Finetuning. - Clare Lyle, Mark van der Wilk, Marta Kwiatkowska, Yarin Gal, Benjamin Bloem-Reddy:
On the Benefits of Invariance in Neural Networks. - David Eppstein, Daniel Frishberg, William Maxwell:
On the treewidth of Hanoi graphs. - Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher:
Generalization Error of Generalized Linear Models in High Dimensions. - Yi Luan, Jacob Eisenstein, Kristina Toutanova, Michael Collins:
Sparse, Dense, and Attentional Representations for Text Retrieval. - Yang Cao, Shun Takagi, Yonghui Xiao, Li Xiong, Masatoshi Yoshikawa:
PANDA: Policy-aware Location Privacy for Epidemic Surveillance. - Aaron Mueller, Garrett Nicolai, Panayiota Petrou-Zeniou, Natalia Talmina, Tal Linzen:
Cross-Linguistic Syntactic Evaluation of Word Prediction Models. - Qingguo Hong, Chunmei Liu, Jinchao Xu:
An Abstract Stabilization Method with Applications to Nonlinear Incompressible Elasticity. - Winston Wu, Dustin Arendt, Svitlana Volkova:
Evaluating Neural Machine Comprehension Model Robustness to Noisy Inputs and Adversarial Attacks. - Hojjat Aghakhani, Dongyu Meng, Yu-Xiang Wang, Christopher Kruegel, Giovanni Vigna:
Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability. - Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Joongbo Shin, Kyomin Jung:
KPQA: A Metric for Generative Question Answering Using Word Weights. - Shi-Liang Wu, Davod Khojasteh Salkuyeh:
A shift-splitting preconditioner for asymmetric saddle point problems. - Niels F. W. Voorneveld:
From Equations to Distinctions: Two Interpretations of Effectful Computations. 1-17 - Anne Baanen, Wouter Swierstra:
Combining predicate transformer semantics for effects: a case study in parsing regular languages. 39-56 - Artjoms Sinkarovs:
Multi-dimensional Arrays with Levels. 57-71 - Christopher Jenkins, Aaron Stump, Larry Diehl:
Efficient lambda encodings for Mendler-style coinductive types in Cedille. 72-97 - Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu:
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training. - Corey Wetterer-Nelson, John A. Evans:
Computational Steering of Geometrically Sensitive Simulations. - Baiji Liu, Songjun Cao, Sining Sun, Weibin Zhang, Long Ma:
Multi-head Monotonic Chunkwise Attention For Online Speech Recognition. - Hongming Zhang, Daniel Khashabi, Yangqiu Song, Dan Roth:
TransOMCS: From Linguistic Graphs to Commonsense Knowledge. - Tejas Bhojraj:
Generating Randomness from a Computable, Non-random Sequence of Qubits. 1-12 - Jean-Simon Pacaud Lemay:
Why FHilb is Not an Interesting (Co)Differential Category. 13-26 - Octavio Zapata:
Effectus of Quantum Probability on Relational Structures. 53-65 - Robert Furber:
Scott Continuity in Generalized Probabilistic Theories. 66-84 - Giulia Meuli, Mathias Soeken, Martin Roetteler, Giovanni De Micheli:
ROS: Resource-constrained Oracle Synthesis for Quantum Computers. 119-130 - Qi Zhang, Carla Seatzu, Zhiwu Li, Alessandro Giua:
A framework for the analysis of supervised discrete event systems under attack. - Sivert Aasnæss:
Cohomology and the Algebraic Structure of Contextuality in Measurement Based Quantum Computation. 242-253 - Ang Li, Meghana Thotakuri, David A. Ross, João Carreira, Alexander Vostrikov, Andrew Zisserman:
The AVA-Kinetics Localized Human Actions Video Dataset. - Zhicong Liang, Bao Wang, Quanquan Gu, Stanley J. Osher, Yuan Yao:
Exploring Private Federated Learning with Laplacian Smoothing. - Ilja Gubins, Remco C. Veltkamp:
Deeply Cascaded U-Net for Multi-Task Image Processing. - Jianfeng Gao, You Zhou, Tamim Asfour:
Learning Compliance Adaptation in Contact-Rich Manipulation. - Rahul U, Ragul M, Raja Vignesh K, Tejeswinee K:
Deepfake Forensics Using Recurrent Neural Networks. - Mujeen Sung, Hwisang Jeon, Jinhyuk Lee, Jaewoo Kang:
Biomedical Entity Representations with Synonym Marginalization. - Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth:
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. - Ashish V. Thapliyal, Radu Soricut:
Cross-modal Language Generation using Pivot Stabilization for Web-scale Language Coverage. - Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych:
AdapterFusion: Non-Destructive Task Composition for Transfer Learning. - Jonas Pfeiffer, Edwin Simpson, Iryna Gurevych:
Low Resource Multi-Task Sequence Tagging - Revisiting Dynamic Conditional Random Fields. - Ghafour Ahani, Di Yuan, Yixin Zhao:
Age-Optimal UAV Scheduling for Data Collectionwith Battery Recharging. - Elahe Vahdani, Longlong Jing, Yingli Tian, Matt Huenerfauth:
Recognizing American Sign Language Nonmanual Signal Grammar Errors in Continuous Videos. - Olivier Carton:
A direct proof of Agafonov's theorem and an extension to shift of finite type. - Shuchu Han, Alexandru Niculescu-Mizil:
Supervised Feature Subset Selection and Feature Ranking for Multivariate Time Series without Feature Extraction. - Christian Sattler, Andrea Vezzosi:
Partial Univalence in n-truncated Type Theory. - Rohit Zambre, Aparna Chandramowlishwaran, Pavan Balaji:
How I Learned to Stop Worrying About User-Visible Endpoints and Love MPI. - Libor Barto, Marcin Kozik, Johnson Tan, Matt Valeriote:
Sensitive instances of the Constraint Satisfaction Problem. - Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng:
Towards Controllable Biases in Language Generation. - Zeinab Nezami, Kamran Zamanifar, Karim Djemame, Evangelos Pournaras:
Decentralized Edge-to-Cloud Load-balancing: Service Placement for the Internet of Things. - Yanpeng Zhao, Ivan Titov:
Unsupervised Transfer of Semantic Role Models from Verbal to Nominal Domain. - Tolga Ünlü, Lynsay A. Shepherd, Natalie Coull, Colin McLean:
A Taxonomy of Approaches for Integrating Attack Awareness in Applications. - Olly Styles, Tanaya Guha, Victor Sanchez, Alex C. Kot:
Multi-Camera Trajectory Forecasting: Pedestrian Trajectory Prediction in a Network of Cameras. - Andy Way, Rejwanul Haque, Guodong Xie, Federico Gaspari, Maja Popovic, Alberto Poncelas:
Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation. - William Seymour, Reuben Binns, Petr Slovák, Max Van Kleek, Nigel Shadbolt:
Strangers in the Room: Unpacking Perceptions of 'Smartness' and Related Ethical Concerns in the Home. - Ravi Kumar Kushawaha, Saurabh Kumar, Biplab Banerjee, Rajbabu Velmurugan:
Distilling Spikes: Knowledge Distillation in Spiking Neural Networks. - Marco Vassena, Klaus von Gleissenthall, Rami Gökhan Kici, Deian Stefan, Ranjit Jhala:
Automatically Eliminating Speculative Leaks With Blade. - Manikandan Ravikiran, Amin Ekant Muljibhai, Toshinori Miyoshi, Hiroaki Ozaki, Yuta Koreeda, Sakata Masayuki:
Hitachi at SemEval-2020 Task 12: Offensive Language Identification with Noisy Labels using Statistical Sampling and Post-Processing. - Hao Dou, Chen Chen, Xiyuan Hu, Zhisen Hu, Silong Peng:
PCA-SRGAN: Incremental Orthogonal Projection Discrimination for Face Super-resolution. - Xabier Soto, Dimitar Sht. Shterionov, Alberto Poncelas, Andy Way:
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation. - Ronen Tamari, Chen Shani, Tom Hope, Miriam R. L. Petruck, Omri Abend, Dafna Shahaf:
Language (Re)modelling: Towards Embodied Language Understanding. - Prasetya Ajie Utama, Nafise Sadat Moosavi, Iryna Gurevych:
Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance. - Pratyay Banerjee, Chitta Baral:
Self-supervised Knowledge Triplet Learning for Zero-shot Question Answering. - Benjamin Muller, Benoît Sagot, Djamé Seddah:
Can Multilingual Language Models Transfer to an Unseen Dialect? A Case Study on North African Arabizi. - Simone Nicchi, Matteo Mariani, Matteo Marini, Federico Palmaro, Daniele Cono D'Elia:
Designing Robust API Monitoring Solutions. - Lonni Besançon, Matthew Cooper, Anders Ynnerman, Frédéric Vernier:
An Evaluation of Visualization Methods for Population Statistics Based on Choropleth Maps. - Chuadhry Mujeeb Ahmed, Jay Prakash, Jianying Zhou:
Revisiting Anomaly Detection in ICS: Aimed at Segregation of Attacks and Faults. - Mohammad Hekmatnejad, Bardh Hoxha, Georgios Fainekos:
Search-based Test-Case Generation by Monitoring Responsibility Safety Rules. - Jonathan D. Hauenstein, Samantha N. Sherman:
Using monodromy to statistically estimate the number of solutions. - Pengyi Zhang, Yunxin Zhong, Xiaoqiong Li:
ACCL: Adversarial constrained-CNN loss for weakly supervised medical image segmentation. - Lei Shen, Yang Feng:
CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation. - Shailaja Sampat, Yezhou Yang, Chitta Baral:
Diverse Visuo-Lingustic Question Answering (DVLQA) Challenge. - Daniel Jodlbauer, Ulrich Langer, Thomas Wick:
Parallel matrix-free higher-order finite element solvers for phase-field fracture problems. - Edoardo Maria Ponti, Goran Glavas, Olga Majewska, Qianchu Liu, Ivan Vulic, Anna Korhonen:
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning. - (Withdrawn) Performance of Generalized Hypercubes in Dynamic Peer-to-Peer Networks.
- Yifei Zhang, Rania Briq, Julian Tanke, Juergen Gall:
Adversarial Synthesis of Human Pose from Text. - Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, Michael Wray:
The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines. - Pravin Dangol, Alireza Ramezani:
Towards thruster-assisted bipedal locomotion for enhanced efficiency and robustness. - Louis Martin, Angela Fan, Éric de la Clergerie, Antoine Bordes, Benoît Sagot:
Multilingual Unsupervised Sentence Simplification. - Bahram Lavi, Ihsan Ullah, Mehdi Fatan, Anderson Rocha:
Survey on Reliable Deep Learning-Based Person Re-Identification Models: Are We There Yet? - Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Rada Mihalcea:
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research. - Peter beim Graben, Ronald Römer, Werner Meyer, Markus Huber, Matthias Wolff:
Reinforcement learning of minimalist grammars. - Baichuan Huang, Can Huang, Yijia He, Jingbin Liu, Xiao Liu:
M^3VSNet: Unsupervised Multi-metric Multi-view Stereo Network. - Arghya Pal, Vineeth N. Balasubramanian:
Generative Adversarial Data Programming. - Angela Meyer, Bernhard Brodbeck:
Performance Fault Detection in Wind Turbines by Dynamic Reference State Estimation. - Navid Rekabsaz, Markus Schedl:
Do Neural Ranking Models Intensify Gender Bias? - Fabio Alberto Schreiber, Maria Elena Valcher:
Formal assessment of some properties of Context-Aware Systems. - Zhenqiang Li, Weimin Wang, Zuoyue Li, Yifei Huang, Yoichi Sato:
A Comprehensive Study on Visual Explanations for Spatio-temporal Networks. - (Withdrawn) Breaking the Bound: Rate-2, Full Diversity, Orthogonal MIMO-STBC Transceiver Design.
- Yue Qian, Junhui Hou, Yiming Zeng, Qijian Zhang, Sam Kwong, Ying He:
MOPS-Net: A Matrix Optimization-driven Network forTask-Oriented 3D Point Cloud Downsampling. - Alexander Meyer Sjøberg, Olav Egeland:
Lie Algebraic Unscented Kalman Filter for Pose Estimation. - Ulrik Günther, Kyle I. S. Harrington, Raimund Dachselt, Ivo F. Sbalzarini:
Bionic Tracking: Using Eye Tracking to Track Biological Cells in Virtual Reality. - Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, Chryssi Giannitsarou, Flavio Toxvaerd, Nigel Collier:
Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter. - Nicola Landro, Ignazio Gallo, Riccardo La Grassa:
Can a powerful neural network be a teacher for a weaker neural network? - Mordechai Guri:
POWER-SUPPLaY: Leaking Data from Air-Gapped Systems by Turning the Power-Supplies Into Speakers. - Philipp Dufter, Hinrich Schütze:
Identifying Necessary Elements for BERT's Multilinguality. - Brighter Agyemang, Wei-Ping Wu, Michael Yelpengne Kpiebaareh, Zhihua Lei, Ebenezer Nanor, Lei Chen:
Multi-View Self-Attention for Interpretable Drug-Target Interaction Prediction. - Dennis Guse, Oliver Hohlfeld, Anna Wunderlich, Benjamin Weiss, Sebastian Möller:
Multi-episodic Perceived Quality of an Audio-on-Demand Service. - Darren Edge, Jonathan Larson, Nikolay Trandev, Neha Parikh Shah, Carolyn Buractaon, Nicholas Caurvina, Nathan Evans, Christopher M. White:
Workgroup Mapping: Visual Analysis of Collaboration Culture. - Dafeng Zhu, Bo Yang, Qi Liu, Kai Ma, Shanying Zhu, Xinping Guan:
Energy Trading in Microgrids for Synergies among Electricity, Hydrogen and Heat Networks. - Aaron Bernstein:
Improved Bound for Matching in Random-Order Streams. - Tzu-Heng Lin:
Aggregation and Finetuning for Clothes Landmark Detection. - Mark Marsden, Kevin McGuinness, Joseph Antony, Haolin Wei, Milan D. Redzic, Jian Tang, Zhilan Hu, Alan F. Smeaton, Noel E. O'Connor:
Investigating Class-level Difficulty Factors in Multi-label Classification Problems. - Shrimai Prabhumoye, Ruslan Salakhutdinov, Alan W. Black:
Topological Sort for Sentence Ordering. - Ying Luo, Hai Zhao:
Bipartite Flat-Graph Network for Nested Named Entity Recognition. - Zheng Cao, Wan-Ting Shih, Jiajia Guo, Chao-Kai Wen, Shi Jin:
Lightweight Convolutional Neural Networks for CSI Feedback in Massive MIMO. - Engin Sahin:
Quantum arithmetic operations based on quantum Fourier transform on signed integers. - Ghafour Ahani, Di Yuan:
Optimal Scheduling of Age-centric Caching: Tractability and Computation. - Zhaoyang Wang, Hongtao Wang:
Defense of Word-level Adversarial Attacks via Random Substitution Encoding. - Nikolaos Tziavelis, Wolfgang Gatterbauer, Mirek Riedewald:
Optimal Join Algorithms Meet Top-k. - Ciprian A. Corneanu, Meysam Madadi, Sergio Escalera, Aleix M. Martínez:
Computing the Testing Error without a Testing Set. - Carl Yang, Haonan Wang, Lichao Sun, Bo Li:
Secure Network Release with Link Privacy. - Shikib Mehri, Maxine Eskénazi:
USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation. - Khyathi Raghavi Chandu, Alan W. Black:
Style Variation as a Vantage Point for Code-Switching. - Shikhar Vashishth, Rishabh Joshi, Ritam Dutt, Denis Newman-Griffis, Carolyn P. Rosé:
MedType: Improving Medical Entity Linking with Semantic Type Prediction. - Keith Curtis, George Awad, Shahzad Rajput, Ian Soboroff:
HLVU : A New Challenge to Test Deep Understanding of Movies the Way Humans do. - Oana Inel, Nava Tintarev, Lora Aroyo:
Eliciting User Preferences for Personalized Explanations for Video Summaries. - Iria da Cunha, Juan-Manuel Torres-Moreno:
Automatic Discourse Segmentation: Review and Perspectives. - Salomon Sickert, Javier Esparza:
An Efficient Normalisation Procedure for Linear Temporal Logic and Very Weak Alternating Automata. - Giannis Delimpaltadakis, Manuel Mazo Jr.:
Region-Based Self-Triggered Control for Perturbed and Uncertain Nonlinear Systems. - Erfaneh Gharavi, Neda Nazemi, Faraz Dadgostari:
Early Outbreak Detection for Proactive Crisis Management Using Twitter Data: COVID-19 a Case Study in the US. - Sayan Putatunda, Dayananda Ubrangala, Kiran Rama, Ravi Prasad Kondapalli:
DriveML: An R Package for Driverless Machine Learning. - Vaibhav Adlakha, Parth Shah, Srikanta Bedathur, Mausam:
Knowledge Base Inference for Regular Expression Queries. - Fernando Alva-Manchego, Louis Martin, Antoine Bordes, Carolina Scarton, Benoît Sagot, Lucia Specia:
ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations. - Bernard Dousset, Josiane Mothe:
Getting Insights from a Large Corpus of Scientific Papers on Specialisted Comprehensive Topics - the Case of COVID-19. - Tao Li, Parth Anand Jawale, Martha Palmer, Vivek Srikumar:
Structured Tuning for Semantic Role Labeling. - Hubert Baniecki, Przemyslaw Biecek:
The Grammar of Interactive Explanatory Model Analysis. - Kamran Ali, Charles E. Hughes:
An Efficient Integration of Disentangled Attended Expression and Identity FeaturesFor Facial Expression Transfer andSynthesis. - Shi Zhi, Liyuan Liu, Yu Zhang, Shiyin Wang, Qi Li, Chao Zhang, Jiawei Han:
Partially-Typed NER Datasets Integration: Connecting Practice to Theory. - Siddharth Barman, Ranjani G. Sundaram:
Uniform Welfare Guarantees Under Identical Subadditive Valuations. - George Council, Shai Revzen:
Fast Recovery of Robot Behaviors. - Alireza Bahramali, Ramin Soltani, Amir Houmansadr, Dennis Goeckel, Don Towsley:
Practical Traffic Analysis Attacks on Secure Messaging Applications. - Kürsat Tekbiyik, Ali Riza Ekti, Günes Karabulut-Kurt, Ali Görçin, Halim Yanikomeroglu:
A Holistic Investigation on Terahertz Propagation and Channel Modeling Toward Vertical Heterogeneous Networks. - Sarthak Jain, Madeleine van Zuylen, Hannaneh Hajishirzi, Iz Beltagy:
SciREX: A Challenge Dataset for Document-Level Information Extraction. - Yue Dong, Andrei Romascanu, Jackie Chi Kit Cheung:
HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization. - Andreia P. Guerreiro, Carlos M. Fonseca, Luís Paquete:
The Hypervolume Indicator: Problems and Algorithms. - Chetan Bansal, Pantazis Deligiannis, Chandra Shekhar Maddila, Nikitha Rao:
Studying Ransomware Attacks Using Web Search Logs. - Sean Cleary, Haris Nadeem:
Distributions of restricted rotation distances. - Natesh Ganesh:
Rethinking Neuromorphic Hardware Design - A Complexity Engineering Approach. - Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul, Jordan L. Boyd-Graber:
Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries. - Ruosong Wang, Simon S. Du, Lin F. Yang, Sham M. Kakade:
Is Long Horizon Reinforcement Learning More Difficult Than Short Horizon Reinforcement Learning? - Christina Chaccour, Mehdi Naderi Soorki, Walid Saad, Mehdi Bennis, Petar Popovski:
Can Terahertz Provide High-Rate Reliable Low Latency Communications for Wireless VR? - Xiaoxiong Zhong, Xinghan Wang, Yuanyuan Yang, Yang Qin, Xiaoke Ma, Tingting Yang:
A Parallel Optimal Task Allocation Mechanism for Large-Scale Mobile Edge Computing. - Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré:
Low-Dimensional Hyperbolic Knowledge Graph Embeddings. - Dorottya Demszky, Dana Movshovitz-Attias, Jeongwoo Ko, Alan S. Cowen, Gaurav Nemade, Sujith Ravi:
GoEmotions: A Dataset of Fine-Grained Emotions. - Nicolas Bonneel, David Coeurjolly, Julie Digne, Nicolas Mellado:
Code Replicability in Computer Graphics. - Yizhe Zhang, Guoyin Wang, Chunyuan Li, Zhe Gan, Chris Brockett, Bill Dolan:
POINTER: Constrained Text Generation via Insertion-based Generative Pre-training. - Zhan Xu, Yang Zhou, Evangelos Kalogerakis, Chris Landreth, Karan Singh:
RigNet: Neural Rigging for Articulated Characters. - Sai Prasanna, Anna Rogers, Anna Rumshisky:
When BERT Plays the Lottery, All Tickets Are Winning. - Wouter van Heeswijk:
Smart Containers With Bidding Capacity: A Policy Gradient Algorithm for Semi-Cooperative Learning. - Dan Kondratyuk, Mingxing Tan, Matthew Brown, Boqing Gong:
When Ensembling Smaller Models is More Efficient than Single Large Models. - Deren Lei, Gangrong Jiang, Xiaotao Gu, Kexuan Sun, Yuning Mao, Xiang Ren:
Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning. - Hu Hu, Rui Zhao, Jinyu Li, Liang Lu, Yifan Gong:
Exploring Pre-training with Alignments for RNN Transducer based End-to-End Speech Recognition. - Xiang Yue, Bernal Jimenez Gutierrez, Huan Sun:
Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset. - Chien-Chung Huang, Mathieu Mari, Claire Mathieu, Jens Vygen:
Approximating maximum integral multiflows on bounded genus graphs. - Xing Niu, Prashant Mathur, Georgiana Dinu, Yaser Al-Onaizan:
Evaluating Robustness to Input Perturbations for Neural Machine Translation. - Sandeep Subramanian, Ronan Collobert, Marc'Aurelio Ranzato, Y-Lan Boureau:
Multi-scale Transformer Language Models. - Bryan Wilder, Eric Horvitz, Ece Kamar:
Learning to Complement Humans. - Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau:
Learning an Unreferenced Metric for Online Dialogue Evaluation. - Rahul Singh, Qinsheng Zhang, Yongxin Chen:
Improving Robustness via Risk Averse Distributional Reinforcement Learning. - Xinyi Zheng, Douglas Burdick, Lucian Popa, Nancy Xin Ru Wang:
Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context. - Dmitriy Zhuk:
Strong subalgebras and the Constraint Satisfaction Problem. - Hiroko Oe:
Discussion of digital gaming's impact on players' well-being during the COVID-19 lockdown. - Fritz Lekschas, Xinyi Zhou, Wei Chen, Nils Gehlenborg, Benjamin Bach, Hanspeter Pfister:
A Generic Framework and Library for Exploration of Small Multiples through Interactive Piling. - Zhuolin Jiang, Jan Silovský, Man-Hung Siu, William Hartmann, Herbert Gish, Sancar Adali:
Learning from Noisy Labels with Noise Modeling Network. - Francisco Fernández de Vega, Gustavo Olague, Francisco Chávez de la O, Daniel Lanza, Wolfgang Banzhaf, Erik D. Goodman:
It is Time for New Perspectives on How to Fight Bloat in GP. - Ya-Chien Chang, Nima Roohi, Sicun Gao:
Neural Lyapunov Control. - Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Xiang Gao, Chris Quirk, Rik Koncel-Kedziorski, Jianfeng Gao, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan:
A Controllable Model of Grounded Response Generation. - Emily Dinan, Angela Fan, Ledell Wu, Jason Weston, Douwe Kiela, Adina Williams:
Multi-Dimensional Gender Bias Classification. - Dehao Liu, Yan Wang:
A Dual-Dimer Method for Training Physics-Constrained Neural Networks with Minimax Architecture. - Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi:
Probing Text Models for Common Ground with Visual Representations. - Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han:
Minimally Supervised Categorization of Text with Metadata. - Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng:
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection. - Adina Williams, Tiago Pimentel, Arya D. McCarthy, Hagen Blix, Eleanor Chodroff, Ryan Cotterell:
Predicting Declension Class from Form and Meaning. - Yada Pruksachatkun, Jason Phang, Haokun Liu, Phu Mon Htut, Xiaoyi Zhang, Richard Yuanzhe Pang, Clara Vania, Katharina Kann, Samuel R. Bowman:
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work? - Piotr Rybak, Robert Mroczkowski, Janusz Tracz, Ireneusz Gawlik:
KLEJ: Comprehensive Benchmark for Polish Language Understanding. - Umang Bhatt, Adrian Weller, José M. F. Moura:
Evaluating and Aggregating Feature-based Model Explanations. - Anne Lauscher, Vinit Ravishankar, Ivan Vulic, Goran Glavas:
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers. - Zach Wood-Doughty, Paiheng Xu, Xiao Liu, Mark Dredze:
Using Noisy Self-Reports to Predict Twitter User Demographics. - Anders Søgaard, Sebastian Ebert, Jasmijn Bastings, Katja Filippova:
We Need to Talk About Random Splits. - Rajarshi Bhowmik, Gerard de Melo:
A Joint Framework for Inductive Representation Learning and Explainable Reasoning in Knowledge Graphs. - Gal Amram, Shahar Maoz, Or Pistiner, Jan Oliver Ringert:
Energy mu-Calculus: Symbolic Fixed-Point Algorithms for omega-Regular Energy Games. - Wonseok Hwang, Jinyeong Yim, Seunghyun Park, Sohee Yang, Minjoon Seo:
Spatial Dependency Parsing for 2D Document Understanding. - Wonseok Hwang, Jinyeong Yim, Seunghyun Park, Minjoon Seo:
Syntactic Question Abstraction and Retrieval for Data-Scarce Semantic Parsing. - Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren:
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering. - Katherine A. Keith, David D. Jensen, Brendan O'Connor:
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates. - Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, Luke Zettlemoyer:
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction. - Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
A Transformer-based Approach for Source Code Summarization. - Neil Fendley, Max Lennon, I-Jeng Wang, Philippe Burlina, Nathan Drenkow:
Jacks of All Trades, Masters Of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks. - Gokhan Sagirlar, John D. Sheehan, Emanuele Ragnoli:
On the Design of Co-operating Blockchains for IoT. - T. Mitchell Roddenberry, Santiago Segarra:
Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering. - Sumithra Bhakthavatsalam, Chloe Anastasiades, Peter Clark:
GenericsKB: A Knowledge Base of Generic Statements. - Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan T. McDonald:
On Faithfulness and Factuality in Abstractive Summarization. - Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett:
Benchmarking Multimodal Regex Synthesis with Complex Structures. - Tassilo Klein, Moin Nabi:
Contrastive Self-Supervised Learning for Commonsense Reasoning. - Morihiro Mizutani, Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira:
Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization. - Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Generating Derivational Morphology with BERT. - Zheng Tang, Milind Naphade, Stan Birchfield, Jonathan Tremblay, William Hodge, Ratnesh Kumar, Shuo Wang, Xiaodong Yang:
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data. - Renjie Zheng, Mingbo Ma, Baigong Zheng, Kaibo Liu, Liang Huang:
Opportunistic Decoding with Timely Correction for Simultaneous Translation. - Nilay Kant, Ranjan Mukherjee:
Planar Symmetric Juggling of a Devil-Stick. - Shunsuke Inenaga:
Pointer-Machine Algorithms for Fully-Online Construction of Suffix Trees and DAWGs on Multiple Strings. - Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, Xiang Ren:
Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models. - Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, Jure Leskovec:
Open Graph Benchmark: Datasets for Machine Learning on Graphs. - Ziyu Yao, Yiqi Tang, Wen-tau Yih, Huan Sun, Yu Su:
An Imitation Game for Learning Semantic Parsers from User Interaction. - Peter Gartland, Daniel Lokshtanov:
Independent Set on Pk-Free Graphs in Quasi-Polynomial Time. - Peifeng Wang, Nanyun Peng, Pedro A. Szekely, Xiang Ren:
Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering. - Xingyu Fu, Weijia Shi, Zian Zhao, Xiaodong Yu, Dan Roth:
Design Challenges for Low-resource Cross-lingual Entity Linking. - Abu Awal Md Shoeb, Gerard de Melo:
Are Emojis Emotional? A Study to Understand the Association between Emojis and Emotions. - Nguyen Van Huynh, Diep N. Nguyen, Dinh Thai Hoang, Eryk Dutkiewicz:
Optimal Beam Association for High Mobility mmWave Vehicular Networks: Lightweight Parallel Reinforcement Learning Approach. - Sen Wu, Hongyang R. Zhang, Gregory Valiant, Christopher Ré:
On the Generalization Effects of Linear Transformations in Data Augmentation. - Tsung-Yen Yang, Karthik Narasimhan:
Robust and Interpretable Grounding of Spatial References with Relation Networks. - Qingqing Cao, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian:
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering. - Satya Prakash Singh, Aimé Lay-Ekuakille, Deepak Gangwar, Madan Kumar Sharma, Sukrit Gupta:
Deep ConvLSTM with self-attention for human activity decoding using wearables. - Jieyu Zhao, Subhabrata Mukherjee, Saghar Hosseini, Kai-Wei Chang, Ahmed Hassan Awadallah:
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer. - Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi:
UnifiedQA: Crossing Format Boundaries With a Single QA System. - Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua:
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. - Asad Mahmood, Zubair Shafiq, Padmini Srinivasan:
A Girl Has A Name: Detecting Authorship Obfuscation. - Tao Zhang, Quanyan Zhu:
Differentially Private Collaborative Intrusion Detection Systems For VANETs. - Thuy Vu, Alessandro Moschitti:
AVA: an Automatic eValuation Approach to Question Answering Systems. - Frank F. Xu, Lei Ji, Botian Shi, Junyi Du, Graham Neubig, Yonatan Bisk, Nan Duan:
A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos. - Lakshay Narula, Daniel M. LaChapelle, Matthew J. Murrian, J. Michael Wooten, Todd E. Humphreys, Elliot de Toldi, Guirec Morvant, Jean-Baptiste Lacambre:
TEX-CUP: The University of Texas Challenge for Urban Positioning. - Robert Chin, Alejandro I. Maass, Nalika Ulapane, Chris Manzie, Iman Shames, Dragan Nesic, Jonathan E. Rowe, Hayato Nakada:
Active Learning for Linear Parameter-Varying System Identification. - Zebang Zhang, Kui Zhao, Kai Huang, Quanhui Jia, Yanming Fang, Quan Yu:
Large-scale Uncertainty Estimation and Its Application in Revenue Forecast of SMEs. - Abhilasha Ravichander, Yonatan Belinkov, Eduard H. Hovy:
Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance? - Nickolaos Koroniotis, Nour Moustafa:
Enhancing network forensics with particle swarm and deep learning: The particle deep framework. - Qiang Yu, Shenglan Li, Huajin Tang, Longbiao Wang, Jianwu Dang, Kay Chen Tan:
Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning. - Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner:
Obtaining Faithful Interpretations from Compositional Neural Networks. - Numan Khurshid, Talha Hanif, Mohbat Tharani, Murtaza Taj:
Cross-View Image Retrieval - Ground to Aerial Image Retrieval through Deep Learning. - Lin Sok:
New families of self-dual codes. - Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas:
Heterogeneous Knowledge Distillation using Information Flow Modeling. - Homero Roman Roman, Yonatan Bisk, Jesse Thomason, Asli Celikyilmaz, Jianfeng Gao:
RMM: A Recursive Mental Model for Dialog Navigation. - Nazneen Fatema Rajani, Rui Zhang, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming Xiong, Richard Socher, Dragomir R. Radev:
ESPRIT: Explaining Solutions to Physical Reasoning Tasks. - Xinyi Zhou, Shengmin Jin, Reza Zafarani:
Sentiment Paradoxes in Social Networks: Why Your Friends Are More Positive Than You? - Lasitha Wijayarathne, Juan Vallejo, Anthony Barnum, Zachary Cloutier, Frank L. Hammond III:
Design-Informed Kinematic Control for Improved Dexterous Teleoperation of a Bilateral Manipulator System. - Saud Mobark Aldossari, Kwang-Cheng Chen:
Relay Selection for 5G New Radio Via Artificial Neural Networks. - Weiqiu You, Simeng Sun, Mohit Iyyer:
Hard-Coded Gaussian Attention for Neural Machine Translation. - Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng:
Synthesizer: Rethinking Self-Attention in Transformer Models. - Rob J. van Glabbeek, Cornelis A. Middelburg:
On infinite guarded recursive specifications in process algebra. - Jie Ren, Lu Yuan, Petteri Nurmi, Xiaoming Wang, Miao Ma, Ling Gao, Zhanyong Tang, Jie Zheng, Zheng Wang:
Smart, Adaptive Energy Optimization for Mobile Web Interactions. - Yuying Chen, Congcong Liu, Bertram E. Shi, Ming Liu:
CoMoGCN: Coherent Motion Aware Trajectory Prediction with Graph Representation. - Péter L. Juhász:
Information Propagation in Stochastic Networks. - Zhenpeng Chen, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Tao Xie, Xuanzhe Liu:
Understanding Challenges in Deploying Deep Learning Based Software: An Empirical Study. - Lin Yuan, Yixing Huang, Andreas K. Maier:
Projection Inpainting Using Partial Convolution for Metal Artifact Reduction. - Nora Kassner, Hinrich Schütze:
BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA. - Shray Bansal, Rhys Newbury, Wesley P. Chan, Akansel Cosgun, Aimee Allen, Dana Kulic, Tom Drummond, Charles Isbell:
Supportive Actions for Manipulation in Human-Robot Coworker Teams. - Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer:
Exploring and Predicting Transferability across NLP Tasks. - Michael Boratko, Xiang Lorraine Li, Rajarshi Das, Tim O'Gorman, Dan Le, Andrew McCallum:
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning. - Debashisha Mishra, Enrico Natalizio:
A Survey on Cellular-connected UAVs: Design Challenges, Enabling 5G/B5G Innovations, and Experimental Advancements. - Pei Zhou, Rahul Khanna, Bill Yuchen Lin, Daniel Ho, Xiang Ren, Jay Pujara:
Can BERT Reason? Logically Equivalent Probes for Evaluating the Inference Capabilities of Language Models. - Justus T. C. Schwabedal, Pascal Michel, Mario S. Riontino:
Differentially Private Generation of Small Images. - Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Zizhong Chen, Wei Wei:
Ball k-means. - Xisen Jin, Junyi Du, Xiang Ren:
Visually Grounded Continual Learning of Compositional Semantics. - Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal:
Measuring and Reducing Non-Multifact Reasoning in Multi-hop Question Answering. - Deepanway Ghosal, Devamanyu Hazarika, Abhinaba Roy, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysis. - Woojeong Jin, Suji Kim, Xiang Ren:
ForecastQA: Machine Comprehension of Temporal Text for Answering Forecasting Questions. - Diego Pennino, Maurizio Pizzonia, Andrea Vitaletti, Marco Zecchini:
Binding of Endpoints to Identifiers by On-Chain Proofs. - Peter Benner, Serkan Gugercin, Steffen W. R. Werner:
Structure-Preserving Interpolation of Bilinear Control Systems. - Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, Semih Yavuz, Richard Socher:
A Simple Language Model for Task-Oriented Dialogue. - Haishan Ye, Luo Luo, Ziang Zhou, Tong Zhang:
Multi-consensus Decentralized Accelerated Gradient Descent. - Young-Sam Kwon, Antonín Novotný:
Consistency, convergence and error estimates for a mixed finite element / finite volume scheme to compressible Navier-Stokes equations with general inflow/outflow boundary data. - Joachim Wagner, James Barry, Jennifer Foster:
Treebank Embedding Vectors for Out-of-domain Dependency Parsing. - Byungsoo Kim, Vinicius C. Azevedo, Markus Gross, Barbara Solenthaler:
Lagrangian Neural Style Transfer for Fluids. - Prachi Jain, Sushant Rathi, Mausam, Soumen Chakrabarti:
Knowledge Base Completion: Baseline strikes back (Again). - Qinyuan Ye, Xiao Huang, Xiang Ren:
Teaching Machine Comprehension with Compositional Explanations. - Nina Grgic-Hlaca, Adrian Weller, Elissa M. Redmiles:
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness. - Lev Gordeev:
More on NP Versus P. - Keerthiram Murugesan, Mattia Atzeni, Pushkar Shukla, Mrinmaya Sachan, Pavan Kapanipathi, Kartik Talamadupula:
Enhancing Text-based Reinforcement Learning Agents with Commonsense Knowledge. - Jakob D. Havtorn, Jan Latko, Joakim Edin, Lasse Borgholt, Lars Maaløe, Lorenzo Belgrano, Nicolai F. Jakobsen, Regitze Sdun, Zeljko Agic:
MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech. - Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl:
Social Biases in NLP Models as Barriers for Persons with Disabilities. - Swaroop Mishra, Anjana Arunkumar, Bhavdeep Singh Sachdeva, Chris Bryan, Chitta Baral:
DQI: Measuring Data Quality in NLP. - Andrea Apicella, Francesco Donnarumma, Francesco Isgrò, Roberto Prevete:
A survey on modern trainable activation functions. - Clara Meister, Elizabeth Salesky, Ryan Cotterell:
Generalized Entropy Regularization or: There's Nothing Special about Label Smoothing. - Tetsunari Inamura, Yoshiaki Mizuchi:
SIGVerse: A cloud-based VR platform for research on social and embodied human-robot interaction. - Lukas Brunke:
Learning Model Predictive Control for Competitive Autonomous Racing. - Ali Hamdi, Flora D. Salim, Du Yong Kim:
DroTrack: High-speed Drone-based Object Tracking Under Uncertainty. - Gaofeng Pan, Mohamed-Slim Alouini:
Flying Car Transportation System: Advances, Techniques, and Challenges. - Masahiro Iwasaki, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto:
Transfer Learning-Based Received Power Prediction with Ray-tracing Simulation and Small Amount of Measurement Data. - Markus Utke, Saman Zadtootaghaj, Steven Schmidt, Sebastian Möller:
Towards Deep Learning Methods for Quality Assessment of Computer-Generated Imagery. - H. Narayanan, Hariharan Narayanan:
Implicit Linear Algebra and Basic Circuit Theory. - Abdullah M. Alqahtani, Sanaa H. Mohamed, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
PON-based connectivity for fog computing. - Hendrik Burwinkel, Matthias Keicher, David Bani-Harouni, Tobias Zellner, Florian Eyer, Nassir Navab, Seyed-Ahmad Ahmadi:
Decision Support for Intoxication Prediction Using Graph Convolutional Networks. - Tatsuki Kuribayashi, Takumi Ito, Jun Suzuki, Kentaro Inui:
Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese. - Nathanael L. Baisa:
Derivation of a Constant Velocity Motion Model for Visual Tracking. - David Mueller, Nicholas Andrews, Mark Dredze:
Sources of Transfer in Multilingual Named Entity Recognition. - Francis Wolinski:
Visualization of Diseases at Risk in the COVID-19 Literature. - Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman, Kevin Gimpel:
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation. - Van Huy Nguyen, Thi Quynh Khanh Dinh, Truong Thinh Nguyen, Dang-Khoa Mac:
A language score based output selection method for multilingual speech recognition. - Benjamin Doerr:
Lower Bounds for Non-Elitist Evolutionary Algorithms Via Negative Multiplicative Drift. - Wentao Xu, Shun Zheng, Liang He, Bin Shao, Jian Yin, Tie-Yan Liu:
SEEK: Segmented Embedding of Knowledge Graphs. - Sergio Cabello, Wolfgang Mulzer:
Minimum Cuts in Geometric Intersection Graphs. - Chris J. Mitchell:
Who Needs Trust for 5G? - Zubair Ashraf, Pranab K. Muhuri, Q. M. Danish Lohani, Mukul Lata Roy:
Type-2 fuzzy reliability redundancy allocation problem and its solution using particle swarm optimization algorithm. - Venkata Duvvuri:
Minerva: A Portable Machine Learning Microservice Framework for Traditional Enterprise SaaS Applications. - Prashant K. Gupta, Pranab K. Muhuri:
Computing With Words for Student Strategy Evaluation in an Examination. - Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig:
Predicting Performance for Natural Language Processing Tasks. - János Végh:
How deep the machine learning can be. - Sébastien Bouchard, Yoann Dieudonné, Andrzej Pelc, Franck Petit:
Deterministic Treasure Hunt in the Plane with Angular Hints. - Gautam Aishwarya, Mokshay Madiman:
Conditional Rényi entropy and the relationships between Rényi capacities. - Mohammed Moawad Alenazi, Barzan A. Yosuf, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Energy Efficient Neural Network Embedding in IoT over Passive Optical Networks. - Eduardo Fonseca, Shawn Hershey, Manoj Plakal, Daniel P. W. Ellis, Aren Jansen, R. Channing Moore, Xavier Serra:
Addressing Missing Labels in Large-scale Sound Event Recognition using a Teacher-student Framework with Loss Masking. - Ryosuke Kuwabara, Jun Suzuki, Hideki Nakayama:
Single Model Ensemble using Pseudo-Tags and Distinct Vectors. - Sébastien Bouchard, Yoann Dieudonné, Andrzej Pelc, Franck Petit:
Almost Universal Anonymous Rendezvous in the Plane. - Kazuki Matsumaru, Sho Takase, Naoaki Okazaki:
Improving Truthfulness of Headline Generation. - Salvatore D'Oro, Leonardo Bonati, Francesco Restuccia, Michele Polese, Michele Zorzi, Tommaso Melodia:
Sl-EDGE: Network Slicing at the Edge. - Aluizio S. Lima Filho, Gabriel P. Guarisa, Leopoldo Lusquino Filho, Luiz F. R. Oliveira, Felipe M. G. França, Priscila M. V. Lima:
wisardpkg - A library for WiSARD-based models. - Zhen Wang, Jennifer Lee, Simon M. Lin, Huan Sun:
Rationalizing Medical Relation Prediction from Corpus-level Statistics. - Alejandro Acien, Aythami Morales, Julian Fiérrez, Rubén Vera-Rodríguez:
BeCAPTCHA-Mouse: Synthetic Mouse Trajectories and Improved Bot Detection. - Giovanni Campagna, Agata Foryciarz, Mehrad Moradshahi, Monica S. Lam:
Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking. - Henry C. Nunes, Roben Castagna Lunardi, Avelino Francisco Zorzo, Regio A. Michelin, Salil S. Kanhere:
Context-based smart contracts for appendable-block blockchains. - Mark Law, Alessandra Russo, Krysia Broda:
The ILASP system for Inductive Learning of Answer Set Programs. - Malihe Alikhani, Piyush Sharma, Shengjie Li, Radu Soricut, Matthew Stone:
Clue: Cross-modal Coherence Modeling for Caption Generation. - Saif M. Mohammad:
Examining Citations of Natural Language Processing Literature. - Jacob Sakhnini, Hadis Karimipour, Ali Dehghantanha, Reza M. Parizi, Gautam Srivastava:
Security Aspects of Internet of Things aided Smart Grids: a Bibliometric Survey. - Kazbek Kazhyken, Juha H. Videman, Clint Dawson:
Discontinuous Galerkin methods for a dispersive wave hydro-morphodynamic model with bed-load transport. - Francis Engelmann, Jörg Stückler, Bastian Leibe:
SAMP: Shape and Motion Priors for 4D Vehicle Reconstruction. - Hossein Pourmeidani, Punyashloka Debashis, Zhihong Chen, Ronald F. DeMara, Ramtin Zand:
Electrically-Tunable Stochasticity for Spin-based Neuromorphic Circuits: Self-Adjusting to Variation. - Bingyu Xin, Yifan Hu, Yefeng Zheng, Hongen Liao:
Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis. - Samira Abnar, Willem H. Zuidema:
Quantifying Attention Flow in Transformers. - Jiawei Zhou, Phillip Keung:
Improving Non-autoregressive Neural Machine Translation with Monolingual Data. - Ammar Haydari, Yasin Yilmaz:
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey. - Ben Chugg, William S. Evans, Kelvin Wong:
Simultaneous Visibility Representations of Undirected Pairs of Graphs. - Félix A. Miranda-Villatoro, Rodolphe Sepulchre:
Differential dissipativity analysis of reaction-diffusion systems. - Umberto Ferraro Petrillo, Francesco Palini, Giuseppe Cattaneo, Raffaele Giancarlo:
An Extensible, Scalable Spark Platform for Alignment-free Genomic Analysis - Version 2. - Sen Wu, Hongyang R. Zhang, Christopher Ré:
Understanding and Improving Information Transfer in Multi-Task Learning. - Shmuel Friedland:
Tensor optimal transport, distance between sets of measures and tensor scaling. - David Simchi-Levi, Rui Sun, Huanan Zhang:
Online Learning and Optimization for Revenue Management Problems with Add-on Discounts. - Trang Ngoc Cao, Nikola Zlatanov, Phee Lep Yeoh, Jamie S. Evans:
Optimal Detection Interval for Absorbing Receivers in Molecular Communication Systems with Interference. - Quang Pham, Marija Stanojevic, Zoran Obradovic:
Extracting Entities and Topics from News and Connecting Criminal Records. - Tal Linzen:
How Can We Accelerate Progress Towards Human-like Linguistic Generalization? - William Lane, Steven Bird:
Bootstrapping Techniques for Polysynthetic Morphological Analysis. - Nilay Kant, Ranjan Mukherjee:
Orbital Stabilization of Underactuated Systems using Virtual Holonomic Constraints and Impulse Controlled Poincare Maps. - Hiroyuki Kido:
Bayesian Entailment Hypothesis: How Brains Implement Monotonic and Non-monotonic Reasoning. - Saif M. Mohammad:
Gender Gap in Natural Language Processing Research: Disparities in Authorship and Citations. - Shuo Wang, Zhaopeng Tu, Shuming Shi, Yang Liu:
On the Inference Calibration of Neural Machine Translation. - Sheng Lei, Alexander J. Flueck:
Efficient Power System Transient Simulation Based on Frequency Response Optimized Integrators Considering Second Order Derivative. - Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong:
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation. - Golam Mostaeen, Banani Roy, Chanchal Kumar Roy, Kevin A. Schneider, Jeffrey Svajlenko:
A Machine Learning Based Framework for Code Clone Validation. - Chunshan Liu, Min Li, Lou Zhao, Philip Whiting, Stephen V. Hanly, Iain B. Collings:
Millimeter-Wave Beam Search with Iterative Deactivation and Beam Shifting. - Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen:
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. - Huiming Jin, Liwei Cai, Yihui Peng, Chen Xia, Arya D. McCarthy, Katharina Kann:
Unsupervised Morphological Paradigm Completion. - Md Johirul Islam, Rangeet Pan, Giang Nguyen, Hridesh Rajan:
Repairing Deep Neural Networks: Fix Patterns and Challenges. - Srutarshi Banerjee, Zihao W. Wang, Henry H. Chopp, Oliver Cossairt, Aggelos K. Katsaggelos:
Quadtree Driven Lossy Event Compression. - Yu Zhang, Zhenghua Li, Min Zhang:
Efficient Second-Order TreeCRF for Neural Dependency Parsing. - Xiang Li, Songcan Chen:
A Concise yet Effective model for Non-Aligned Incomplete Multi-view and Missing Multi-label Learning. - Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
How Does Selective Mechanism Improve Self-Attention Networks? - Moktari Mostofa, Syeda Nyma Ferdous, Benjamin S. Riggan, Nasser M. Nasrabadi:
Joint-SRVDNet: Joint Super Resolution and Vehicle Detection Network. - Mengyun Shi, Van Dyk Lewis:
Using Artificial Intelligence to Analyze Fashion Trends. - Masahiro Kaneko, Masato Mita, Shun Kiyono, Jun Suzuki, Kentaro Inui:
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction. - Anthony W. Lin, Philipp Rümmer:
Regular Model Checking Revisited (Technical Report). - Xiuwen Zheng, Amarnath Gupta:
An Algebraic Approach for High-level Text Analytics. - Ginju V. George, Aritra Hazra, Pallab Dasgupta, Partha Pratim Chakrabarti:
Early-Stage Resource Estimation from Functional Reliability Specification in Embedded Cyber-Physical Systems. - Ramanathan Ramu, Ganesha B. Upadhyaya, Hoan Anh Nguyen, Hridesh Rajan:
BCFA: Bespoke Control Flow Analysis for CFA at Scale. - Martin Skrodzki, Eric Zimmermann, Konrad Polthier:
Variational Shape Approximation of Point Set Surfaces. - Giang Nguyen, Shuan Chen, Tae Joon Jun, Daeyoung Kim:
Explaining How Deep Neural Networks Forget by Deep Visualization. - Chanchal K. Roy, Minhaz F. Zibran, Rainer Koschke:
The Vision of Software Clone Management: Past, Present, and Future. - Wei Bao, Hongshu Che, Jiandong Zhang:
An Accurate Model for Predicting the (Graded) Effect of Context in Word Similarity Based on Bert. - Bo-Christer Björk, Timo Korkeamäki:
Adoption of the open access business model in scientific journal publishing: A cross-disciplinary study. - Roee Mordechai Francos, Alfred M. Bruckstein:
Search for Smart Evaders with Swarms of Sweeping Agents. - Xiaoshui Huang, Guofeng Mei, Jian Zhang:
Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences. - Dmitry Rozplokhas, Andrey Vyatkin, Dmitry Boulytchev:
Certified Semantics for Relational Programming. - Mingfei Sun, Zhenhui Peng, Meng Xia, Xiaojuan Ma:
Investigating the Effects of Robot Engagement Communication on Learning from Demonstration. - Gabriel N. Gatica, Antonio Márquez, Salim Meddahi:
A mixed finite element method with reduced symmetry for the standard model in linear viscoelasticity. - Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang:
Multi-Center Federated Learning. - Avinash Madasu, Vijjini Anvesh Rao:
A Position Aware Decay Weighted Network for Aspect based Sentiment Analysis. - Mohammad Javad Amiri, Joris Duguépéroux, Tristan Allard, Divyakant Agrawal, Amr El Abbadi:
SEPAR: A Privacy-Preserving Blockchain-based System for Regulating Multi-Platform Crowdworking Environments. - Mohammadreza Doostmohammadian, Nader Meskin:
Finite-Time Stability Under Denial of Service. - Minquan Cheng, Dequan Liang, Ruizhong Wei:
On Secure Coded Caching via Combinatorial Method. - Yotam Dikstein, Irit Dinur, Prahladh Harsha, Noga Ron-Zewi:
Locally testable codes via high-dimensional expanders. - Lipeng Zhu, David J. Hill:
Cost-Effective Bad Synchrophasor Data Detection Based on Unsupervised Time Series Data Analytics. - Guy Kushilevitz, Shaul Markovitch, Yoav Goldberg:
A Two-Stage Masked LM Method for Term Set Expansion. - Guillermo A. Pérez, Ritam Raha:
Revisiting Synthesis for One-Counter Automata. - Sam Verboven, Jeroen Berrevoets, Chris Wuytens, Bart Baesens, Wouter Verbeke:
Autoencoders for strategic decision support. - Andreas Galanis, Leslie Ann Goldberg, Andrés Herrera-Poyatos:
The complexity of approximating the complex-valued Potts model. - Lipo Mo, Haokun Hu, Yongguang Yu, Guojian Ren:
Distributed Second-order Multi-Agent Optimization over unbalanced network without boundedness of gradients. - Carlo Baldassi, Simone Cerreia-Vioglio, Fabio Maccheroni, Massimo Marinacci, Marco Pirazzini:
Multialternative Neural Decision Process. - Claudio De Persis, Pietro Tesi:
Low-complexity Learning of Linear Quadratic Regulators from Noisy Data. - Nan Jiang, Yansha Deng, Arumugam Nallanathan, Jinhong Yuan:
A Decoupled Learning Strategy for Massive Access Optimization in Cellular IoT Networks. - Gong Cheng, Xingxing Xie, Junwei Han, Lei Guo, Gui-Song Xia:
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities. - Cheng Zhang, Kun Zhang, Yingzhen Li:
A Causal View on Robustness of Neural Networks. - Xiaoyu Shen, Ernie Chang, Hui Su, Jie Zhou, Dietrich Klakow:
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence. - Motasem Alfarra, Slavomír Hanzely, Alyazeed Albasyoni, Bernard Ghanem, Peter Richtárik:
Adaptive Learning of the Optimal Mini-Batch Size of SGD. - Ioana Oriana Bercea, Guy Even:
A Dynamic Space-Efficient Filter with Constant Time Operations. - Luis Enrico Lopez, Diane Kathryn Cruz, Jan Christian Blaise Cruz, Charibeth Cheng:
Transformer-based End-to-End Question Generation. - Pawel Gawrychowski, Maria Kosche, Tore Koss, Florin Manea, Stefan Siemer:
Efficiently Testing Simon's Congruence. - Adriaan Merlevede, Carl Troein:
Perfect Edge-Transmitting Recombination of Permutations. - Weiya Fan:
Deep Encoder-Decoder Neural Network for Fingerprint Image Denoising and Inpainting. - Xingchen Zhang:
Multi-focus Image Fusion: A Benchmark. - Kshitija Taywade, Judy Goldsmith, Brent Harrison:
Reinforcement Learning for Decentralized Stable Matching. - Raphaël Bailly, Kata Gábor:
Emergence of Syntax Needs Minimal Supervision. - Thomas Østerlie, Eric Monteiro:
Digital Sand: The Becoming of Digital Representations. - Kun Xiao, Lan Ma, Shaochang Tan, Yirui Cong, Xiangke Wang:
Implementation of UAV Coordination Based on a Hierarchical Multi-UAV Simulation Platform. - Paul Ralph, Sebastian Baltes, Gianisa Adisaputri, Richard Torkar, Vladimir Kovalenko, Marcos Kalinowski, Nicole Novielli, Shin Yoo, Xavier Devroey, Xin Tan, Minghui Zhou, Burak Turhan, Rashina Hoda, Hideaki Hata, Gregorio Robles, Amin Milani Fard, Rana Alkadhi:
Pandemic Programming: How COVID-19 affects software developers and how their organizations can help. - Samin Yeasar Arnob:
Off-Policy Adversarial Inverse Reinforcement Learning. - Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke:
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems. - Amirreza Shirani, Franck Dernoncourt, Jose Echevarria, Paul Asente, Nedim Lipka, Thamar Solorio:
Let Me Choose: From Verbal Context to Font Selection. - Matan Orbach, Yonatan Bilu, Assaf Toledo, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim:
Out of the Echo Chamber: Detecting Countering Debate Speeches. - Kshitij Shah, Gerard de Melo:
Correcting the Autocorrect: Context-Aware Typographical Error Correction via Training Data Augmentation. - Luyang Huang, Lingfei Wu, Lu Wang:
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward. - Jianhai Bao, Christoph Reisinger, Panpan Ren, Wolfgang Stockinger:
Milstein schemes for delay McKean equations and interacting particle systems. - Yukuan Ji, Zhaohui Yang, Hong Shen, Wei Xu, Kezhi Wang, Xiaodai Dong:
Multi-cell Edge Coverage Enhancement Using Mobile UAV-Relay. - John M. Wu, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, Fahim Dalvi, James R. Glass:
Similarity Analysis of Contextual Word Representation Models. - Sharmin Akter, Nafees Mansoor:
A Spectrum Aware Mobility Pattern Based Routing Protocol for CR-VANETs. - Cristina España-Bonet, Alberto Barrón-Cedeño, Lluís Màrquez:
Tailoring and Evaluating the Wikipedia for in-Domain Comparable Corpora Extraction. - Meng Yuan, Seyed Yahya Nikouei, Alem Fitwi, Yu Chen, Yunxi Dong:
Minor Privacy Protection Through Real-time Video Processing at the Edge. - George Papagiannakis, Paul Zikas, Nick Lydatakis, Steve Kateros, Mike Kentros, Efstratios Geronikolakis, Manos N. Kamarianakis, Ioanna Kartsonaki, Giannis Evangelou:
MAGES 3.0: Tying the knot of medical VR. - Alireza Koochali, Andreas Dengel, Sheraz Ahmed:
If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GAN. - Yihe Dong, Yu Gao, Richard Peng, Ilya P. Razenshteyn, Saurabh Sawlani:
A Study of Performance of Optimal Transport. - Haoyan Xu, Yida Huang, Ziheng Duan, Jie Feng, Pengyu Song:
Multivariate Time Series Forecasting Based on Causal Inference with Transfer Entropy and Graph Neural Network. - Kaiji Lu, Piotr Mardziel, Klas Leino, Matt Fredrikson, Anupam Datta:
Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM Language Models. - O. S. Sunish Kumar, Abdelkerim Amari, Octavia A. Dobre, Ramachandran Venkatesan:
Intra-Channel Nonlinearity Compensation Based on Second-Order Perturbation Theory. - Patrik Christen:
System Metamodel Formalism. - Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, An Nguyen, Martin Matzner, Jörg Becker, Björn M. Eskofier:
An empirical comparison of deep-neural-network architectures for next activity prediction using context-enriched process event logs. - Wei Zhao, Goran Glavas, Maxime Peyrard, Yang Gao, Robert West, Steffen Eger:
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation. - Adina Williams, Ryan Cotterell, Lawrence Wolf-Sonkin, Damián E. Blasi, Hanna M. Wallach:
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs. - Weitao Li, Pengfei Xu, Yang Zhao, Haitong Li, Yuan Xie, Yingyan Lin:
TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain. - Edwin Camilo Cubides, Jonatan Gómez:
Obtaining Basic Algebra Formulas with Genetic Programming and Functional Rewriting. - Hoang NT, Takanori Maehara:
Graph Homomorphism Convolution. - Vikas Yadav, Steven Bethard, Mihai Surdeanu:
Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering. - Gregorio Malajovich:
Complexity of Sparse Polynomial Solving 2: Renormalization. - Yixuan Pan, Aref Darzi, Aliakbar Kabiri, Guangchen Zhao, Weiyu Luo, Chenfeng Xiong, Lei Zhang:
Quantifying human mobility behavior changes in response to non-pharmaceutical interventions during the COVID-19 outbreak in the United States. - Erik Jones, Robin Jia, Aditi Raghunathan, Percy Liang:
Robust Encodings: A Framework for Combating Adversarial Typos. - Seungjun Nah, Sanghyun Son, Radu Timofte, Kyoung Mu Lee:
AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results. - Wanqi Xue, Wei Wang:
One-Shot Image Classification by Learning to Restore Prototypes. - Violetta Shevchenko, Damien Teney, Anthony R. Dick, Anton van den Hengel:
Visual Question Answering with Prior Class Semantics. - Konrad Anand, Luc Devroye:
Probabilistic Analysis of RRT Trees. - Seungjun Nah, Sanghyun Son, Radu Timofte, Kyoung Mu Lee:
NTIRE 2020 Challenge on Image and Video Deblurring. - Raviteja Anantha, Stephen Pulman, Srinivas Chappidi:
Generalized Reinforcement Meta Learning for Few-Shot Optimization. - Liyan Xu, Julien Hogan, Rachel E. Patzer, Jinho D. Choi:
Noise Pollution in Hospital Readmission Prediction: Long Document Classification with Reinforcement Learning. - Jian Zhu, Kai Hu, Mamoun Filali, Jean-Paul Bodeveix, Jean-Pierre Talpin:
Formal Verification of Solidity contracts in Event-B. - Yang Cao, Yonghui Xiao, Shun Takagi, Li Xiong, Masatoshi Yoshikawa, Yilin Shen, Jinfei Liu, Hongxia Jin, Xiaofeng Xu:
Customizable and Rigorous Location Privacy through Policy Graph. - Ge Song, Gang Tao:
Partial-State Feedback Multivariable MRAC and Reduced-Order Designs. - Long Chen, Xuehai Huang:
Finite elements for divdiv-conforming symmetric tensors. - Chak Shing Lee, François P. Hamon, Nicola Castelletto, Panayot S. Vassilevski, Joshua A. White:
Nonlinear multigrid based on local spectral coarsening for heterogeneous diffusion problems. - Zhiqiang Zhan, Zifeng Hou, Yang Zhang:
A New Data Normalization Method to Improve Dialogue Generation by Minimizing Long Tail Effect. - Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin:
Improving Adversarial Text Generation by Modeling the Distant Future. - Fotios Kasolis, Markus Clemens:
Maximum Entropy Snapshot Sampling for Reduced Basis Generation. - Afshin Rahimi, Timothy Baldwin, Karin Verspoor:
WikiUMLS: Aligning UMLS to Wikipedia via Cross-lingual Neural Ranking. - Ping Cai, Xingyuan Chen, Peng Jin, Hongjun Wang, Tianrui Li:
Distributional Discrepancy: A Metric for Unconditional Text Generation. - Ameneh Nejati, Sadegh Soudjani, Majid Zamani:
Compositional Construction of Control Barrier Certificates for Large-Scale Stochastic Switched Systems. - Ruyong Feng, Shuang Feng:
Rational Solutions of First Order Algebraic Ordinary Differential Equations. - Fabio Colella, Pedram Daee, Jussi Jokinen, Antti Oulasvirta, Samuel Kaski:
Human Strategic Steering Improves Performance of Interactive Optimization. - Niraj Ramesh Dayama, Morteza Shiripour, Antti Oulasvirta, Evgeny Ivanko, Andreas Karrenbauer:
Foraging-based Optimization of Menu Systems. - Zhigang Jia, Xuan Liu, Mei-Xiang Zhao:
The Multi-Symplectic Lanczos Algorithm and Its Applications to Color Image Processing. - Qurrat-Ul-Ain Nadeem, Hibatallah Alwazani, Abla Kammoun, Anas Chaaban, Mérouane Debbah, Mohamed-Slim Alouini:
Intelligent Reflecting Surface Assisted Multi-User MISO Communication: Channel Estimation and Beamforming Design. - Aryeh Tiktinsky, Yoav Goldberg, Reut Tsarfaty:
pyBART: Evidence-based Syntactic Transformations for IE. - Jicong Fan, Chengrun Yang, Madeleine Udell:
Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering. - Milad Kazemi, Sadegh Soudjani:
Formal Policy Synthesis for Continuous-Space Systems via Reinforcement Learning. - Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen:
NLP in FinTech Applications: Past, Present and Future. - Ondrej Miksik, I. Munasinghe, J. Asensio-Cubero, S. Reddy Bethi, S.-T. Huang, S. Zylfo, Xuechen Liu, T. Nica, A. Mitrocsak, S. Mezza, Rory Beard, Ruibo Shi, Raymond W. M. Ng, Pedro A. M. Mediano, Zafeirios Fountas, S.-H. Lee, J. Medvesek, Hongbin Zhuang, Yvonne Rogers, Pawel Swietojanski:
Building Proactive Voice Assistants: When and How (not) to Interact. - Gi-Hwan Shin, Minji Lee, Hyeong-Jin Kim, Seong-Whan Lee:
Prediction of Event Related Potential Speller Performance Using Resting-State EEG. - Jon Ander Campos, Arantxa Otegi, Aitor Soroa, Jan Deriu, Mark Cieliebak, Eneko Agirre:
DoQA - Accessing Domain-Specific FAQs via Conversational QA. - Reut Tsarfaty, Dan Bareket, Stav Klein, Amit Seker:
From SPMRL to NMRL: What Did We Learn (and Unlearn) in a Decade of Parsing Morphologically-Rich Languages (MRLs)? - Tymofiy Gerasimov, Ulrich Römer, Jaroslav Vondrejc, Hermann G. Matthies, Laura De Lorenzis:
Stochastic phase-field modeling of brittle fracture: computing multiple crack patterns and their probabilities. - Gaëtan Douéneau-Tabot, Emmanuel Filiot, Paul Gastin:
Register transducers are marble transducers. - Junyi Feng, Songyuan Li, Yifeng Chen, Fuxian Huang, Jiabao Cui, Xi Li:
How to Train Your Dragon: Tamed Warping Network for Semantic Video Segmentation. - Michael Hertneck, Steffen Linsenmayer, Frank Allgöwer:
Stability Analysis for Nonlinear Weakly Hard Real-Time Control Systems. - Yue Liu, Qinghua Lu, Hye-Young Paik, Xiwei Xu, Shiping Chen, Liming Zhu:
Design-Pattern-as-a-Service for Blockchain-based Self-Sovereign Identity. - Mostafa Abdou, Vinit Ravishankar, Maria Barrett, Yonatan Belinkov, Desmond Elliott, Anders Søgaard:
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations. - Dongdong Yue, Simone Baldi, Jinde Cao, Qi Li, Bart De Schutter:
A Directed Spanning Tree Adaptive Control Framework for Time-Varying Formations. - Yue Wu, Weitong Zhang, Pan Xu, Quanquan Gu:
A Finite Time Analysis of Two Time-Scale Actor Critic Methods. - Purnendu Mishra, Kishor Sarawadekar:
Anchors Based Method for Fingertips Position Estimation from a Monocular RGB Image using Deep Neural Network. - Dadi Bi, Yansha Deng:
Microfluidic QCSK Transmitter and Receiver Design for Molecular Communication. - Alvaro Veizaga, Mauricio Alférez, Damiano Torre, Mehrdad Sabetzadeh, Lionel C. Briand:
On Systematically Building a Controlled Natural Language for Functional Requirements. - Rian Neogi, M. S. Ramanujan, Saket Saurabh, Roohani Sharma:
On the Parameterized Complexity of Deletion to H-free Strong Components. - Josef Rukavicka:
Palindromic Length of Words with Many Periodic Palindromes. - Henning Fernau, Petra Wolf:
Synchronization of Deterministic Visibly Push-Down Automata. - Yu Cheng, Ilias Diakonikolas, Rong Ge, Mahdi Soltanolkotabi:
High-Dimensional Robust Mean Estimation via Gradient Descent. - Henning Fernau, Petra Wolf, Tomoyuki Yamakami:
Synchronizing Deterministic Push-Down Automata Can Be Really Hard. - (Withdrawn) FDMA with Layers-based Optimized Mobile Relays Subsets Algorithm in B5G/6G Cognitive IoT Networks.
- Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques. - Sukanta Dey, Sukumar Nandi, Gaurav Trivedi:
PowerPlanningDL: Reliability-Aware Framework for On-Chip Power Grid Design using Deep Learning. - Natalia A. Tomashenko, Brij Mohan Lal Srivastava, Xin Wang, Emmanuel Vincent, Andreas Nautsch, Junichi Yamagishi, Nicholas W. D. Evans, Jose Patino, Jean-François Bonastre, Paul-Gauthier Noé, Massimiliano Todisco:
Introducing the VoicePrivacy Initiative. - Elwin Huaman, Elias Kärle, Dieter Fensel:
Knowledge Graph Validation. - Souad Amghar, Safae Cherdal, Salma Mouline:
Storing, preprocessing and analyzing Tweets: Finding the suitable NoSQL system. - Adriano Lucieri, Muhammad Naseer Bajwa, Andreas Dengel, Sheraz Ahmed:
Explaining AI-based Decision Support Systems using Concept Localization Maps. - Jiasheng Zhang, Nan Gu, Chenye Wu:
Energy Storage as Public Asset. - Buyang Li:
Maximal regularity of multistep fully discrete finite element methods for parabolic equations. - Vasil Penchev:
A class of examples demonstrating that P is different from NP in the "P vs NP" problem. - Loris D'Antoni, Martin Helfrich, Jan Kretínský, Emanuel Ramneantu, Maximilian Weininger:
Automata Tutor v3. - Alfonso Caiazzo, Roland Maier, Daniel Peterseim:
Reconstruction of quasi-local numerical effective models from low-resolution measurements. - Kacper Sokol, Peter A. Flach:
LIMEtree: Interactively Customisable Explanations Based on Local Surrogate Multi-output Regression Trees. - Ziwei Zhang, Chi Su, Liang Zheng, Xiaodong Xie:
Correlating Edge, Pose with Parsing. - Hany Abdulsamad, Jan Peters:
Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation. - Masahiro Oda, Takefumi Yamaguchi, Hideki Fukuoka, Yuta Ueno, Kensaku Mori:
Automated eye disease classification method from anterior eye image using anatomical structure focused image classification technique. - Almagul Baurzhanovna Kondybayeva:
Interactive distributed cloud-based web-server systems for the smart healthcare industry. - Siva Kumar Sastry Hari, Paolo Rech, Timothy Tsai, Mark Stephenson, Arslan Zulfiqar, Michael B. Sullivan, Philip P. Shirvani, Paul Racunas, Joel S. Emer, Stephen W. Keckler:
Estimating Silent Data Corruption Rates Using a Two-Level Model. - Ying Chen, Chun-Guang Li, Chong You:
Stochastic Sparse Subspace Clustering. - Marco Melis, Michele Scalas, Ambra Demontis, Davide Maiorca, Battista Biggio, Giorgio Giacinto, Fabio Roli:
Do Gradient-based Explanations Tell Anything About Adversarial Robustness to Android Malware? - Arthur Ouaknine, Alasdair Newson, Julien Rebut, Florence Tupin, Patrick Pérez:
CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations. - Aakash Gautam, Deborah G. Tatar, Steve Harrison:
Crafting, Communality, and Computing: Building on Existing Strengths To Support a Vulnerable Population. - Paloma T. Lima, Vinícius Fernandes dos Santos, Ignasi Sau, Uéverton S. Souza:
Reducing graph transversals via edge contractions. - Francisco Renato Cavalcante Araújo:
Evacuação de Dados em Nuvens Ópticas com base no SLA sob Cenário de Desastre. - Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli, Karthik Kashinath, Mustafa Mustafa, Hamdi A. Tchelepi, Philip Marcus, Prabhat, Anima Anandkumar:
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework. - Maxence Bouvier, Alexandre Valentian, Thomas Mesquida, François Rummens, Marina Reyboz, Elisa Vianello, Edith Beigné:
Spiking Neural Networks Hardware Implementations and Challenges: a Survey. - Hartwig Anzt, Felix Bach, Stephan Druskat, Frank Löffler, Axel Loewe, Bernhard Y. Renard, Gunnar Seemann, Alexander Struck, Elke Achhammer, Piush Aggarwal, Franziska Appel, Michael Bader, Lutz Brusch, Christian Busse, Gerasimos Chourdakis, Piotr Wojtek Dabrowski, Peter Ebert, Bernd Flemisch, Sven Friedl, Bernadette Fritzsch, Maximilian D. Funk, Volker Gast, Florian Goth, Jean-Noël Grad, Sibylle Hermann, Florian Hohmann, Stephan Janosch, Dominik Kutra, Jan Linxweiler, Thilo Muth, Wolfgang Peters-Kottig, Fabian Rack, Fabian H. C. Raters, Stephan Rave, Guido Reina, Malte Reißig, Timo Ropinski, Jörg Schaarschmidt, Heidi Seibold, Jan P. Thiele, Benjamin Uekermann, Stefan Unger, Rudolf Weeber:
An Environment for Sustainable Research Software in Germany and Beyond: Current State, Open Challenges, and Call for Action. - Shruti Bothe, Usama Masood, Hasan Farooq, Ali Imran:
Neuromorphic AI Empowered Root Cause Analysis of Faults in Emerging Networks. - Joel Shodamola, Usama Masood, Marvin Manalastas, Ali Imran:
A Machine Learning based Framework for KPI Maximization in Emerging Networks using Mobility Parameters. - Amin Keshavarzi, Abolfazl Toroghi Haghighat, Mahdi Bohlouli:
Research Challenges and Prospective Business Impacts of Cloud Computing: A Survey. - Alexey A. Bobtsov, Romeo Ortega, Nikolay A. Nikolaev, Johannes Schiffer:
A Globally Convergent State Observer for Multimachine Power Systems with Lossy Lines. - Danielle Saunders, Felix Stahlberg, Bill Byrne:
Using Context in Neural Machine Translation Training Objectives. - Paul W. Goldberg, Edwin Lock, Francisco J. Marmolejo Cossío:
Learning Strong Substitutes Demand via Queries. - Salma El Anigri, Mohamed Majid Himmi, Abdelhak Mahmoudi:
Towards A Sign Language Gloss Representation Of Modern Standard Arabic. - Mathias Gottschlag, Yussuf Khalil, Frank Bellosa:
Dim Silicon and the Case for Improved DVFS Policies. - Gunjan Aggarwal, Abhishek Sinha, Nupur Kumari, Mayank Singh:
On the Benefits of Models with Perceptually-Aligned Gradients. - Philip H. Kulp, Nagi Mei:
An Integrated Framework for Sensing Radio Frequency Spectrum Attacks on Medical Delivery Drones. - Safa Messaoud, Maghav Kumar, Alexander G. Schwing:
Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning? - Lekshmi B. G., Andreas Becher, Klaus Meyer-Wegener:
The ReProVide Query-Sequence Optimization in a Hardware-Accelerated DBMS. - Siyuan Sun, Min Fu, Yuanming Shi, Yong Zhou:
Towards Reconfigurable Intelligent Surfaces Powered Green Wireless Networks. - Angela Lee, Doris Xin, Doris Lee, Aditya G. Parameswaran:
Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development. - Jesse Dunietz, Gregory Burnham, Akash Bharadwaj, Owen Rambow, Jennifer Chu-Carroll, David A. Ferrucci:
To Test Machine Comprehension, Start by Defining Comprehension. - Dheeraj Rajagopal, Niket Tandon, Peter Clark, Bhavana Dalvi, Eduard H. Hovy:
What-if I ask you to explain: Explaining the effects of perturbations in procedural text. - Aaron Steinfeld, Michael A. Goodrich:
Proceedings of the 2020 Workshop on Assessing, Explaining, and Conveying Robot Proficiency for Human-Robot Teaming. - An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen:
Ten Questions in Lifelog Mining and Information Recall. - Sándor Szedmák, Anna Cichonska, Heli Julkunen, Tapio Pahikkala, Juho Rousu:
A Solution for Large Scale Nonlinear Regression with High Rank and Degree at Constant Memory Complexity via Latent Tensor Reconstruction. - Spyridon Samothrakis:
Open Loop In Natura Economic Planning. - Carlos Borges, Jun Lai:
Inverse scattering reconstruction of a three dimensional sound-soft axis-symmetric impenetrable object. - Tyler M. Frasca, Evan A. Krause, Ravenna Thielstrom, Matthias Scheutz:
"Can you do this?" Self-Assessment Dialogues with Autonomous Robots Before, During, and After a Mission. - Gertjan J. Burghouts, Albert Huizing, Mark A. Neerincx:
Robotic Self-Assessment of Competence. - Clément Cancès, Flore Nabet:
Finite Volume approximation of a two-phase two fluxes degenerate Cahn-Hilliard model. - Lei Shen, Xiaoyu Guo, Meng Chen:
Compose Like Humans: Jointly Improving the Coherence and Novelty for Modern Chinese Poetry Generation. - Burak Çakmak, Manfred Opper:
A Dynamical Mean-Field Theory for Learning in Restricted Boltzmann Machines. - Jiakuo Zuo, Yuanwei Liu, Ertugrul Basar, Octavia A. Dobre:
Intelligent Reflecting Surface Enhanced Millimeter-Wave NOMA Systems. - Iftach Haitner, Yonatan Karidi-Heller:
A Tight Lower Bound on Adaptively Secure Full-Information Coin Flip. - Amitabha Bagchi:
Lecture notes: Efficient approximation of kernel functions. - Russell Buchanan, Marco Camurri, Maurice F. Fallon:
Haptic Sequential Monte Carlo Localization for Quadrupedal Locomotion in Vision-Denied Scenarios. - Shravan Garlapati:
Trade-offs in the Design of Blockchain of Finite-Lifetime Blocks for Edge-IoT Applications. - Qingyun Wu, Chi Wang, Silu Huang:
Cost Effective Optimization for Cost-related Hyperparameters. - Fei Mi, Boi Faltings:
Memory Augmented Neural Model for Incremental Session-based Recommendation. - Yuting Cao, Parijat Mukherjee, Mahesh Ketkar, Jin Yang, Hao Zheng:
Mining Message Flows using Recurrent Neural Networks for System-on-Chip Designs. - Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren:
StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics. - Benjamin Charles Germain Lee, Jaime Mears, Eileen Jakeway, Meghan Ferriter, Chris Adams, Nathan Yarasavage, Deborah Thomas, Kate Zwaard, Daniel S. Weld:
The Newspaper Navigator Dataset: Extracting And Analyzing Visual Content from 16 Million Historic Newspaper Pages in Chronicling America. - Betis Baheri, Qiang Guan:
MARS: Multi-Scalable Actor-Critic Reinforcement Learning Scheduler. - Krzysztof Grining, Marek Klonowski, Malgorzata Sulkowska:
What Our Choices Say About Our Preferences? - R. Iris Bahar, Alex K. Jones, Srinivas Katkoori, Patrick H. Madden, Diana Marculescu, Igor L. Markov:
Workshops on Extreme Scale Design Automation (ESDA) Challenges and Opportunities for 2025 and Beyond. - Loay F. Hussein, Aisha Hassan Abdalla Hashim, Mohamed Hadi Habaebi, Wan Haslina Hassan:
An Adaptive Diffserv Approach To Support QoS In Network Mobility Nemo Environment. - Austin R. Coffman, Zhong Guo, Prabir Barooah:
Characterizing capacity of flexible loads for providing grid support. - Freddy Gabbay, Avi Mendelson, Yinnon Stav:
Electromigration-Aware Architecture for Modern Microprocessors. - Simon-Martin Schröder, Rainer Kiko, Reinhard Koch:
MorphoCluster: Efficient Annotation of Plankton images by Clustering. - Amir Neshastegaran, Ali Norouzifar, Iman Izadi:
A Framework for Plant Topology Extraction Using Process Mining and Alarm Data. - Ruohan Gao, Changan Chen, Ziad Al-Halah, Carl Schissler, Kristen Grauman:
VisualEchoes: Spatial Image Representation Learning through Echolocation. - Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen, Lawrence Carin:
Reward Constrained Interactive Recommendation with Natural Language Feedback. - Roy Bar-Haim, Lilach Eden, Roni Friedman, Yoav Kantor, Dan Lahav, Noam Slonim:
From Arguments to Key Points: Towards Automatic Argument Summarization. - Vitalii Aksenov, Maxim Chertov, Konstantin Sinkov:
Application of accelerated fixed-point algorithms to hydrodynamic well-fracture coupling. - Michal Konecný, Florian Steinberg, Holger Thies:
Continuous and monotone machines. - Alexander Erdmann, Micha Elsner, Shijie Wu, Ryan Cotterell, Nizar Habash:
The Paradigm Discovery Problem. - Jun Hayakawa, Behzad Dariush:
Ego-motion and Surrounding Vehicle State Estimation Using a Monocular Camera. - Véronique Ventos, Daniel Braun, Colin Deheeger, Jean Pierre Desmoulins, Jean Baptiste Fantun, Swann Legras, Alexis Rimbaud, Céline Rouveirol, Henry Soldano:
Construction and Elicitation of a Black Box Model in the Game of Bridge. - Jeniya Tabassum, Mounica Maddela, Wei Xu, Alan Ritter:
Code and Named Entity Recognition in StackOverflow. - Björn Schembera, Dorothea Iglezakis:
EngMeta - Metadata for Computational Engineering. - Daniel Gabric, Joe Sawada:
Investigating the discrepancy property of de Bruijn sequences. - Rowan Hall Maudslay, Josef Valvoda, Tiago Pimentel, Adina Williams, Ryan Cotterell:
A Tale of a Probe and a Parser. - Shayegan Omidshafiei, Karl Tuyls, Wojciech M. Czarnecki, Francisco C. Santos, Mark Rowland, Jerome T. Connor, Daniel Hennes, Paul Muller, Julien Pérolat, Bart De Vylder, Audrunas Gruslys, Rémi Munos:
Navigating the Landscape of Games. - Sergey Levine, Aviral Kumar, George Tucker, Justin Fu:
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems. - Kartik Goyal, Chris Dyer, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick:
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing. - Antonio Tarrías-Muñoz, José Luis Matez-Bandera, Pablo Ramírez-Espinosa, Francisco Javier López-Martínez:
Effect of Correlation between Information and Energy Links in Secure Wireless Powered Communications. - Yvain Bruned, Katharina Schratz:
Resonance based schemes for dispersive equations via decorated trees. - Anis Abboud, John H. Kastner, Hanan Samet:
Equal Area Breaks: A Classification Scheme for Data to Obtain an Evenly-colored Choropleth Map. - Rawan Al-Shaer, Jonathan M. Spring, Eliana Christou:
Learning the Associations of MITRE ATT&CK Adversarial Techniques. - Arjun R. Akula, Spandana Gella, Yaser Al-Onaizan, Song-Chun Zhu, Siva Reddy:
Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring Expressions. - Matthieu Jedor, Jonathan Louëdec, Vianney Perchet:
Categorized Bandits. - Matteo Giacomini, Rubén Sevilla:
A second-order face-centred finite volume method on general meshes with automatic mesh adaptation. - Filippo Bonchi, Ana Sokolova, Valeria Vignudelli:
Presenting convex sets of probability distributions by convex semilattices and unique bases. - Alexey A. Bobtsov, Romeo Ortega, Nikolay A. Nikolaev, Wei He:
A Globally Stable Practically Implementable PI Passivity-based Controller for Switched Power Converters. - Jierui Li, Lemao Liu, Huayang Li, Guanlin Li, Guoping Huang, Shuming Shi:
Evaluating Explanation Methods for Neural Machine Translation. - Charlott Vallon, Francesco Borrelli:
Task Decomposition for MPC: A Computationally Efficient Approach for Linear Time-Varying Systems. - Young Mo Kang, Yingbo Zhou:
Fast and Robust Unsupervised Contextual Biasing for Speech Recognition. - Noriyuki Kojima, Hadar Averbuch-Elor, Alexander M. Rush, Yoav Artzi:
What is Learned in Visually Grounded Neural Syntax Acquisition. - Neel Dey, Antong Chen, Soheil Ghafurian:
Group Equivariant Generative Adversarial Networks. - Fredrik K. Gustafsson, Martin Danelljan, Radu Timofte, Thomas B. Schön:
How to Train Your Energy-Based Model for Regression. - Anirbit Mukherjee, Ramchandran Muthukumar:
Guarantees on learning depth-2 neural networks under a data-poisoning attack. - Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann:
Transforming and Projecting Images into Class-conditional Generative Networks. - Bahareh Sarrafzadeh, Adam Roegiest, Edward Lank:
Hierarchical Knowledge Graphs: A Novel Information Representation for Exploratory Search Tasks. - Jaafar M. H. Elmirghani, Hatem A. Alharbi, Azza E. A. Eltraify, Sanaa Hamid Mohamed, Barzan A. Yosuf, Taisir E. H. El-Gorashi:
Standards for Energy Efficient Virtualization, Content Distribution and Big Data in Beyond 5G Networks. - Eliran Shabat, Lee Cohen, Yishay Mansour:
Sample Complexity of Uniform Convergence for Multicalibration. - Devashish Prasad, Kshitij Kapadni, Ayan Gadpal, Manish Visave, Kavita Sultanpure:
HOG, LBP and SVM based Traffic Density Estimation at Intersection. - Chia-Yu Li, Daniel Ortega, Dirk Väth, Florian Lux, Lindsey Vanderlyn, Maximilian Schmidt, Michael Neumann, Moritz Völkel, Pavel Denisov, Sabrina Jenne, Zorica Kacarevic, Ngoc Thang Vu:
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents. - Mathias Soeken:
Determining the Multiplicative Complexity of Boolean Functions using SAT. - Nikhil Tripathi, Neminath Hubballi:
Preventing Time Synchronization in NTP's Broadcast Mode. - Joan Massachs, Corrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi:
Roots of Trumpism: Homophily and Social Feedback in Donald Trump Support on Reddit. - Raphael Schumann, Lili Mou, Yao Lu, Olga Vechtomova, Katja Markert:
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction. - Shriram Krishnamurthi, Emmanuel Schanzer, Joe Gibbs Politz, Benjamin S. Lerner, Kathi Fisler, Sam Dooman:
Data Science as a Route to AI for Middle- and High-School Students. - Kundan Krishna, Sopan Khosla, Jeffrey P. Bigham, Zachary C. Lipton:
Generating SOAP Notes from Doctor-Patient Conversations. - Michael R. Smith, Nicholas T. Johnson, Joe B. Ingram, Armida J. Carbajal, Ramyaa Ramyaa, Evelyn Domschot, Christopher C. Lamb, Stephen J. Verzi, W. Philip Kegelmeyer:
Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Information Security. - Ales Zita, Filip Sroubek:
Learning-based Tracking of Fast Moving Objects. - Haewoon Kwak, Jisun An, Yong-Yeol Ahn:
A Systematic Media Frame Analysis of 1.5 Million New York Times Articles from 2000 to 2017. - Mark Loyman, Hayit Greenspan:
Semi-supervised lung nodule retrieval. - Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy:
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation. - Beniamino Accattoli, Claudia Faggian, Giulio Guerrieri:
Factorize Factorization. - Josef Klafka, Allyson Ettinger:
Spying on your neighbors: Fine-grained probing of contextual embeddings for information about surrounding words. - Jonas P. Berberich, Roger Käppeli, Praveen Chandrashekar, Christian Klingenberg:
High order discretely well-balanced finite volume methods for Euler equations with gravity - without any à priori information about the hydrostatic solution. - Deepjyoti Deka, Harish Doddi, Sidhant Misra, Murti V. Salapaka:
Tractable learning in under-excited power grids. - Hsueh-Ti Derek Liu, Vladimir G. Kim, Siddhartha Chaudhuri, Noam Aigerman, Alec Jacobson:
Neural Subdivision. - Shrimai Prabhumoye, Alan W. Black, Ruslan Salakhutdinov:
Exploring Controllable Text Generation Techniques. - Maria Chudnovsky, Shenwei Huang, Pawel Rzazewski, Sophie Spirkl, Mingxian Zhong:
Complexity of Ck-coloring in hereditary classes of graphs. - Bruce Lee, Peter Seiler:
Finite Step Performance of First-order Methods Using Interpolation Conditions Without Function Evaluations. - Eric Melz:
Understanding Scanned Receipts. - Peter Hase, Mohit Bansal:
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? - Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Milad Asgari Mehrabadi, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt:
GSR Analysis for Stress: Development and Validation of an Open Source Tool for Noisy Naturalistic GSR Data. - Faisal Ladhak, Bryan Li, Yaser Al-Onaizan, Kathleen R. McKeown:
Exploring Content Selection in Summarization of Novel Chapters. - Leszek Szczecinski, Hsan Bouazizi:
Parametric Phase Tracking via Expectation Propagation. - Thomas Kober, Julie Weeds, Lorenzo Bertolini, David J. Weir:
Data Augmentation for Hypernymy Detection. - Hendrik Fichtenberger, Mingze Gao, Pan Peng:
Sampling Arbitrary Subgraphs Exactly Uniformly in Sublinear Time. - Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen:
Streaming Object Detection for 3-D Point Clouds. - Iurii Shyshatsky, Vinod Manoharan, Taras Emelyanenko, Lucas Leger:
JaxNet: Scalable Blockchain Network. - Shruti Rijhwani, Shuyan Zhou, Graham Neubig, Jaime G. Carbonell:
Soft Gazetteers for Low-Resource Named Entity Recognition. - Hans-Joachim Böckenhauer, Jan Dreier, Fabian Frei, Peter Rossmanith:
Advice for Online Knapsack With Removable Items. - Luca Bufalieri, Massimo La Morgia, Alessandro Mei, Julinda Stefa:
GDPR: When the Right to Access Personal Data Becomes a Threat. - Yuval Emek, Shay Kutten, Ron Lavi, Rad Niazadeh, Yangguang Shi:
No-Regret Stateful Posted Pricing. - Sorour Mohajerani, Mark S. Drew, Parvaneh Saeedi:
Illumination-Invariant Image from 4-Channel Images: The Effect of Near-Infrared Data in Shadow Removal. - Majid Asgari-Bidhendi, Behrooz Janfada, Behrouz Minaei-Bidgoli:
FarsBase-KBP: A Knowledge Base Population System for the Persian Knowledge Graph. - Vladimir G. Pestov:
A learning problem whose consistency is equivalent to the non-existence of real-valued measurable cardinals. - Seonho Park, George Adosoglou, Panos M. Pardalos:
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection. - Florian Hofer, Martin A. Sehr, Alberto L. Sangiovanni-Vincentelli, Barbara Russo:
Industrial Control via Application Containers: Maintaining determinism in IAAS. - Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen:
Fine-grained Financial Opinion Mining: A Survey and Research Agenda. - Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering. - Yoshihiko Suhara, Xiaolan Wang, Stefanos Angelidis, Wang-Chiew Tan:
OpinionDigest: A Simple Framework for Opinion Summarization. - Jared Quincy Davis, Krzysztof Choromanski, Jake Varley, Honglak Lee, Jean-Jacques E. Slotine, Valerii Likhosterov, Adrian Weller, Ameesh Makadia, Vikas Sindhwani:
Time Dependence in Non-Autonomous Neural ODEs. - Shahin Atakishiyev, Housam Khalifa Bashier Babiker, Nawshad Farruque, Randy Goebel, M.-Y. Kima, Mohammad H. Motallebi, Juliano Rabelo, Talat Iqba Syed, Osmar R. Zaïane:
A multi-component framework for the analysis and design of explainable artificial intelligence. - Leopoldo Sarra, Andrea Aiello, Florian Marquardt:
Renormalized Mutual Information for Extraction of Continuous Features. - Dongfang Zhao:
Toward Equilibria and Solvability of Blockchain Pooling Strategies: A Topological Approach. - Dylan Peifer, Michael Eugene Stillman, Daniel Halpern-Leistner:
Learning selection strategies in Buchberger's algorithm. - Feodor F. Dragan, Heather M. Guarnera:
Helly-gap of a graph and vertex eccentricities. - Muhammad Ali Farooq, Peter Corcoran:
Generating Thermal Image Data Samples using 3D Facial Modelling Techniques and Deep Learning Methodologies. - Rui Fan, Ke Xu, Jichang Zhao:
Weak ties strengthen anger contagion in social media. - Rui Liu, Chengxi Yang, Wenxiu Sun, Xiaogang Wang, Hongsheng Li:
StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching. - Thomas Lacombe, Hugues Favrelière, Maurice Pillet:
Modal features for image texture classification. - Matthew Fahrbach, Zhiyi Huang, Runzhou Tao, Morteza Zadimoghaddam:
Edge-Weighted Online Bipartite Matching. - Shikhar Murty, Pang Wei Koh, Percy Liang:
ExpBERT: Representation Engineering with Natural Language Explanations. - Peide Cai, Sukai Wang, Yuxiang Sun, Ming Liu:
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion. - Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis:
Regret Bounds for Safe Gaussian Process Bandit Optimization. - Navaneet K. L., Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu:
From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks. - Igor Furtat, Yury Orlov:
Adaptive Identification of Nonlinear Time-delay Systems Using Output Measurements. - Toufique Morshed, Md Momin Al Aziz, Noman Mohammed:
CPU and GPU Accelerated Fully Homomorphic Encryption. - Smit Marvaniya, Umamaheswari Devi, Jagabondhu Hazra, Shashank Mujumdar, Nitin Gupta:
Small, Sparse, but Substantial: Techniques for Segmenting Small Agricultural Fields Using Sparse Ground Data. - Farshid Alambeigi, Zerui Wang, Yun-Hui Liu, Russell H. Taylor, Mehran Armand:
A Versatile Data-Driven Framework for Model-Independent Control of Continuum Manipulators Interacting With Obstructed Environments With Unknown Geometry and Stiffness. - Rabiul Hasan Kabir, Kooktae Lee:
On the Ergodicity of an Autonomous Robot for Efficient Environment Explorations. - Tao Zheng:
Characterizing Triviality of the Exponent Lattice of A Polynomial through Galois and Galois-Like Groups. - Jiancheng Yang, Yi He, Xiaoyang Huang, Jingwei Xu, Xiaodan Ye, Guangyu Tao, Bingbing Ni:
AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes. - Ameneh Nejati, Majid Zamani:
Compositional Construction of Finite MDPs for Continuous-Time Stochastic Systems: A Dissipativity Approach. - Heng-Jui Chang, Alexander H. Liu, Hung-yi Lee, Lin-Shan Lee:
End-to-end Whispered Speech Recognition with Frequency-weighted Approaches and Layer-wise Transfer Learning. - Axel Laborieux, Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Liza Herrera Diez, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
Low Power In-Memory Implementation of Ternary Neural Networks with Resistive RAM-Based Synapse. - Johan Bay, Aslan Askarov:
Reconciling progress-insensitive noninterference and declassification. - Joash Lee, Wenbo Wang, Dusit Niyato:
Demand-Side Scheduling Based on Deep Actor-Critic Learning for Smart Grids. - Guillaume Chèze:
Envy-free cake cutting: A polynomial number of queries with high probability. - Yukiko Osawa, Abderrahmane Kheddar:
Detection of Human Contact by Thermal Exchange Observer of Robot Skin. - Zhong Sun, Giacomo Pedretti, Alessandro Bricalli, Daniele Ielmini:
One-step regression and classification with crosspoint resistive memory arrays. - Milad Moradi, Matthias Samwald:
Post-hoc explanation of black-box classifiers using confident itemsets. - Christof Kaukewitsch, Henrik Papist, Marc Zeller, Martin Rothfelder:
Automatic Generation of RAMS Analyses from Model-based Functional Descriptions using UML State Machines. - Zhensheng Guo, Marc Zeller:
DPN - Dependability Priority Numbers. - Mohammad Mahdi Bejani, Mehdi Ghatee:
Adaptive Low-Rank Factorization to regularize shallow and deep neural networks. - Adriano Lucieri, Muhammad Naseer Bajwa, Stephan Alexander Braun, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors. - Dominique Mercier, Andreas Dengel, Sheraz Ahmed:
P2ExNet: Patch-based Prototype Explanation Network. - Viet Hoang Pham, Kazunori Sakurama, Shaoshuai Mou, Hyo-Sung Ahn:
Distributed traffic control for a large-scale urban network. - Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu:
Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change. - Tanya Goyal, Greg Durrett:
Neural Syntactic Preordering for Controlled Paraphrase Generation. - Anna Wojciechowska, Foad Hamidi, Andrés Lucero, Jessica R. Cauchard:
Chasing Lions: Co-Designing Human-Drone Interaction in Sub-Saharan Africa. - Matthew Gadd, Daniele De Martini, Letizia Marchegiani, Paul Newman, Lars Kunze:
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios. - Onur Ayan, H. Murat Gürsu, Sandra Hirche, Wolfgang Kellerer:
AoI-based Finite Horizon Scheduling for Heterogeneous Networked Control Systems. - Philipp A. Guth, Claudia Schillings, Simon Weissmann:
Ensemble Kalman filter for neural network based one-shot inversion. - Nivedita Rufus, Unni Krishnan R. Nair, A. V. S. Sai Bhargav Kumar, Vashist Madiraju, K. Madhava Krishna:
SROM: Simple Real-time Odometry and Mapping using LiDAR data for Autonomous Vehicles. - Haijun Zhang, Jianmin Zhang, Keping Long:
Energy Efficiency Optimization for NOMA UAV Network with Imperfect CSI. - Chulun Zhou, Liangyu Chen, Jiachen Liu, Xinyan Xiao, Jinsong Su, Sheng Guo, Hua Wu:
Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer. - Budi Kurniawan, Peter Vamplew, Michael Papasimeon, Richard Dazeley, Cameron Foale:
Discrete-to-Deep Supervised Policy Learning. - Lukas Helminger, Daniel Kales, Christian Rechberger, Roman Walch:
Aggregated Private Information Retrieval: A First Practical Implementation to Support Large-Scale Disease Analytics. - Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai:
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting. - Jan Christian Blaise Cruz, Charibeth Cheng:
Establishing Baselines for Text Classification in Low-Resource Languages. - Ignasi Abío, Valentin Mayer-Eichberger, Peter J. Stuckey:
Encoding Linear Constraints into SAT. - Xiuyi Fan, Siyuan Liu, Thomas C. Henderson:
Explainable AI for Classification using Probabilistic Logic Inference. - Claudio Angione, Eric Silverman, Elisabeth Yaneske:
Using Machine Learning to Emulate Agent-Based Simulations. - Zhen Guo, Zengfu Wang, Hua Lan, Quan Pan, Kun Lu:
OTHR multitarget tracking with a GMRF model of ionospheric parameters. - Michael A. Bekos, Martin Gronemann, Fabrizio Montecchiani, Antonios Symvonis, Leonidas Theocharous:
Grid Drawings of Graphs with Constant Edge-Vertex Resolution. - Li-Min Wang, Sun-Ting Tsai, Shan-Jyun Wu, Meng-Xue Tsai, Daw-Wei Wang, Yi-Ching Su, Tzay-Ming Hong:
Self-organizing Pattern in Multilayer Network for Words and Syllables. - Wei Zhang, Quan Chen, Kaihua Fu, Ningxin Zheng, Zhiyi Huang, Jingwen Leng, Chao Li, Wenli Zheng, Minyi Guo:
Towards QoS-Aware and Resource-Efficient GPU Microservices Based on Spatial Multitasking GPUs In Datacenters. - Ana Fernández-Guillamón, Antonio Vigueras-Rodríguez, Ángel Molina-García:
Analysis of power system inertia estimation in high wind power plant integration scenarios. - Alexander Bentkamp, Jasmin Blanchette, Simon Cruanes, Uwe Waldmann:
Superposition for Lambda-Free Higher-Order Logic. - Daniel Tang:
Finding the maximum-a-posteriori behaviour of agents in an agent-based model. - Tobias Kölbel, Daniel Kunz:
Mechanisms of intermediary platforms. - Haoxin Li, Wei-Shi Zheng, Yu Tao, Haifeng Hu, Jian-Huang Lai:
Adaptive Interaction Modeling via Graph Operations Search. - Mahmoud Dahmani, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Tawsifur Rahman, Khaled Al-Jayyousi, Abdalla Hefny, Serkan Kiranyaz:
An Intelligent and Low-cost Eye-tracking System for Motorized Wheelchair Control. - Subhash Nerella, Azra Bihorac, Patrick James Tighe, Parisa Rashidi:
Facial Action Unit Detection on ICU Data for Pain Assessment. - Naeem Ul Islam, Sungmin Lee, Jaebyung Park:
Prominent Attribute Modification using Attribute Dependent Generative Adversarial Network. - Yu-Kai Huang, Yueh-Cheng Liu, Tsung-Han Wu, Hung-Ting Su, Winston H. Hsu:
Expanding Sparse Guidance for Stereo Matching. - Masaki Waga:
Falsification of Cyber-Physical Systems with Robustness-Guided Black-Box Checking. - Fariza Fauzi, Mohammed Belkhatir:
Image understanding and the web. - Ahmed Elzanaty, Mohamed-Slim Alouini:
Adaptive Coded Modulation for IM/DD Free-Space Optical Backhauling: A Probabilistic Shaping Approach. - Mahdi Zolnouri, Xinlin Li, Vahid Partovi Nia:
Importance of Data Loading Pipeline in Training Deep Neural Networks. - Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang:
Stealing Links from Graph Neural Networks. - Xuanyu Yin, Yoko Sasaki, Weimin Wang, Kentaro Shimizu:
3D Object Detection Method Based on YOLO and K-Means for Image and Point Clouds. - Uche Osahor, Hadi Kazemi, Ali Dabouei, Nasser M. Nasrabadi:
Quality Guided Sketch-to-Photo Image Synthesis. - Gibran Benitez-Garcia, Jesus Olivares-Mercado, Gabriel Sanchez-Perez, Keiji Yanai:
IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition. - Lucas Potter, Xavier-Lewis Palmer:
Human Factors in Biocybersecurity Wargames. - Hamish Nicholson:
Psychophysical Evaluation of Deep Re-Identification Models. - Taehyeong Kim, Injune Hwang, Gi-Cheon Kang, Won-Seok Choi, Hyunseo Kim, Byoung-Tak Zhang:
Label Propagation Adaptive Resonance Theory for Semi-supervised Continuous Learning. - Nicholas Sharp, Maks Ovsjanikov:
PointTriNet: Learned Triangulation of 3D Point Sets. - Tomislav Ivek, Domagoj Vlah:
BlackBox: Generalizable Reconstruction of Extremal Values from Incomplete Spatio-Temporal Data. - Guillermo A. Martínez-Mascorro, José R. Abreu-Pederzini, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín:
Suspicious Behavior Detection on Shoplifting Cases for Crime Prevention by Using 3D Convolutional Neural Networks. - Ioana Oriana Bercea, Guy Even:
A Space-Efficient Dynamic Dictionary for Multisets with Constant Time Operations. - Rahul Jha, Keping Bi, Yang Li, Mahdi Pakdaman, Asli Celikyilmaz, Ivan Zhiboedov, Kieran McDonald:
Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization. - Tracey Kah-Mein Lee, Mohammed Belkhatir, Saeid Sanei:
Vision-based techniques for gait recognition. - Jan Zahálka, Marcel Worring, Jarke J. van Wijk:
II-20: Intelligent and pragmatic analytic categorization of image collections. - Keith D. Levin, Carey E. Priebe, Vince Lyzinski:
On the role of features in vertex nomination: Content and context together are better (sometimes). - Jaya Sreevalsan-Nair, Pragyan Mohapatra:
Augmented Semantic Signatures of Airborne LiDAR Point Clouds for Determining Change in Time-varying Data. - Yunlian Lv, Ning Xie, Yimin Shi, Zijiao Wang, Heng Tao Shen:
Improving Target-driven Visual Navigation with Attention on 3D Spatial Relationships. - Benyi Hu, Ren-Jie Song, Xiu-Shen Wei, Yazhou Yao, Xian-Sheng Hua, Yuehu Liu:
PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks. - Jannatul Ferdous, Suvrajit Karmaker, AKM Shahariar Azad Rabby, Syed Akhter Hossain:
MatriVasha: A Multipurpose Comprehensive Database for Bangla Handwritten Compound Characters. - Fariza Fauzi, Mohammed Belkhatir:
A User Study to Investigate Semantically Relevant Contextual Information of WWW Images. - Mohammadhossein Toutiaee, Soheyla Amirian, John A. Miller, Sheng Li:
Stereotype-Free Classification of Fictitious Faces. - Hao Zhang, Jie Wang:
An Unsupervised Semantic Sentence Ranking Scheme for Text Documents. - Karim Makki, Bhushan Borotikar, Marc Garetier, Sylvain Brochard, Douraied Ben Salem, François Rousseau:
A fast and memory-efficient algorithm for smooth interpolation of polyrigid transformations: application to human joint tracking. - Hailey James, Otkrist Gupta, Dan Raviv:
Printing and Scanning Attack for Image Counter Forensics. - Jiayi Wei, Maruth Goyal, Greg Durrett, Isil Dillig:
LambdaNet: Probabilistic Type Inference using Graph Neural Networks. - Etienne David, Simon Madec, Pouria Sadeghi-Tehran, Helge Aasen, B. Zheng, Shouyang Liu, Norbert Kirchgeßner, Goro Ishikawa, Koichi Nagasawa, Minhajul A. Badhon, Curtis Pozniak, Benoit de Solan, Andreas Hund, Scott C. Chapman, Frédéric Baret, Ian Stavness, Wei Guo:
Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high resolution RGB labelled images to develop and benchmark wheat head detection methods. - Anthony J. Bagnall, Paul Southam, James Large, Richard W. Harvey:
Detecting Electric Devices in 3D Images of Bags. - S. H. Shabbeer Basha, Sravan Kumar Vinakota, Viswanath Pulabaigari, Snehasis Mukherjee, Shiv Ram Dubey:
AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning. - Fariborz Taherkhani, Veeru Talreja, Jeremy M. Dawson, Matthew C. Valenti, Nasser M. Nasrabadi:
PF-cpGAN: Profile to Frontal Coupled GAN for Face Recognition in the Wild. - Amjad Rehman:
Neural Computing for Online Arabic Handwriting Character Recognition using Hard Stroke Features Mining. - Liang Huang, You Zhang, Weijian Pan, Jinyin Chen, Li Ping Qian, Yuan Wu:
Visualizing Deep Learning-based Radio Modulation Classifier. - Yuanrui Dong, Peng Zhao, Hanqiao Yu, Cong Zhao, Shusen Yang:
CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning. - Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren:
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization. - Wei Ji Ma, Benjamin Peters:
A neural network walks into a lab: towards using deep nets as models for human behavior. - Weihua He, Yujie Wu, Lei Deng, Guoqi Li, Haoyu Wang, Yang Tian, Wei Ding, Wenhui Wang, Yuan Xie:
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences. - Filip Marcinek:
Reproduction of Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection. - Jingyi Shen, Han-Wei Shen:
An Information-theoretic Visual Analysis Framework for Convolutional Neural Networks. - Saad Alqithami, Musaad Alzahrani, Abdulkareem Alzahrani, Ahmed M. Mostafa:
AR-Therapist: Design and Simulation of an AR-Game Environment as a CBT for Patients with ADHD. - Antonino Furnari, Giovanni Maria Farinella:
Rolling-Unrolling LSTMs for Action Anticipation from First-Person Video. - Alexandre Capone, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche:
Localized active learning of Gaussian process state space models. - Nils Wistoff, Moritz Schneider, Frank K. Gürkaynak, Luca Benini, Gernot Heiser:
Prevention of Microarchitectural Covert Channels on an Open-Source 64-bit RISC-V Core. - Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe:
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications. - Ziyang Hong, Yvan R. Petillot, Sen Wang:
RadarSLAM: Radar based Large-Scale SLAM in All Weathers. - Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang:
When Machine Unlearning Jeopardizes Privacy. - Daniel Etiemble:
Best implementations of quaternary adders. - Djallel Bouneffouf, Emmanuelle Claeys:
Hyper-parameter Tuning for the Contextual Bandit. - Luis Müller, Matthias Bentert:
On Reachable Assignments in Cycles and Cliques. - Mai Cong Hung, Ryohei Nakatsu, Naoko Tosa, Takashi Kusumi, Koji Koyamada:
Learning of Art Style Using AI and Its Evaluation Based on Psychological Experiments. - Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
Query Reformulation using Query History for Passage Retrieval in Conversational Search. - Deepta Rajan, Jayaraman J. Thiagarajan, Alexandros Karargyris, Satyananda Kashyap:
Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification. - Yinpei Dai, Huihua Yu, Yixuan Jiang, Chengguang Tang, Yongbin Li, Jian Sun:
A Survey on Dialog Management: Recent Advances and Challenges. - Alessio Palmero Aprosio, Stefano Menini, Sara Tonelli:
Creating a Multimodal Dataset of Images and Text to Study Abusive Language. - Pavel Dvorák, Bruno Loff:
Lower Bounds for Semi-adaptive Data Structures via Corruption. - Ruben Verborgh, Ruben Taelman:
Guided Link-Traversal-Based Query Processing. - Dror Baron, Cynthia Rush, Yavuz Yapici:
mmWave Channel Estimation via Approximate Message Passing with Side Information. - James Wood, Robert Atkey:
A Linear Algebra Approach to Linear Metatheory. 195-212 - Robert J. Webber, Erik H. Thiede, Douglas Dow, Aaron R. Dinner, Jonathan Weare:
Error bounds for dynamical spectral estimation. - Maxim S. Kovalev, Lev V. Utkin:
A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds. - Huazhu Fu, Fei Li, Xu Sun, Xingxing Cao, Jingan Liao, José Ignacio Orlando, Xing Tao, Yuexiang Li, Shihao Zhang, Mingkui Tan, Chenglang Yuan, Cheng Bian, Ruitao Xie, Jiongcheng Li, Xiaomeng Li, Jing Wang, Le Geng, Panming Li, Huaying Hao, Jiang Liu, Yan Kong, Yongyong Ren, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. - Andrew Cropper, Rolf Morel:
Learning programs by learning from failures. - Francesco Restuccia, Tommaso Melodia:
PolymoRF: Polymorphic Wireless Receivers Through Physical-Layer Deep Learning. - Adrian Boguszewski, Dominik Batorski, Natalia Ziemba-Jankowska, Anna Zambrzycka, Tomasz Dziedzic:
LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands and Water from Aerial Imagery. - Agnieszka Mikolajczyk, Michal Grochowski, Arkadiusz Kwasigroch:
Global explanations for discovering bias in data. - Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Bruno Costa Rendon, Kaushik R. Chowdhury, Stratis Ioannidis, Tommaso Melodia:
Hacking the Waveform: Generalized Wireless Adversarial Deep Learning. - Fleurianne Bertrand, Daniele Boffi, Gonzalo Gonzalez de Diego:
Convergence analysis of the scaled boundary finite element method for the Laplace equation. - Srijan Bansal, Vishal Garimella, Ayush Suhane, Jasabanta Patro, Animesh Mukherjee:
Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection. - Robert Bredereck, Till Fluschnik, Andrzej Kaczmarczyk:
Multistage Committee Election. - Ilhan Aslan, Andreas Seiderer, Chi Tai Dang, Simon Rädler, Elisabeth André:
Resonating Experiences of Self and Others enabled by a Tangible Somaesthetic Design. - Or Rivlin, Tamir Hazan, Erez Karpas:
Generalized Planning With Deep Reinforcement Learning. - Aravindh Krishnamoorthy, Zhiguo Ding, Robert Schober:
Precoder Design and Statistical Power Allocation for MIMO-NOMA via User-Assisted Simultaneous Diagonalization. - Michael D. Wong, Aatish Kishan Varma, Anirudh Sivaraman:
Testing Compilers for Programmable Switches Through Switch Hardware Simulation. - Sukrut Rao, David Stutz, Bernt Schiele:
Adversarial Training against Location-Optimized Adversarial Patches. - Zhengzheng Tu, Zhun Li, Chenglong Li, Yang Lang, Jin Tang:
Multi-interactive Encoder-decoder Network for RGBT Salient Object Detection. - Andrew R. Winters, David A. Kopriva, Gregor J. Gassner, Florian Hindenlang:
Construction of Modern Robust Nodal Discontinuous Galerkin Spectral Element Methods for the Compressible Navier-Stokes Equations. - Carmen Chan-Zheng, Pablo Borja, Jacquelien M. A. Scherpen:
Tuning Rules for a Class of Port-Hamiltonian Mechanical Systems. - Chao Jiang, Mounica Maddela, Wuwei Lan, Yang Zhong, Wei Xu:
Neural CRF Model for Sentence Alignment in Text Simplification. - Elhadji Mamadou Nguer, Diop Sokhna Bao, Yacoub Ahmed Fall, Mouhamadou Khoule:
Digraph of Senegal s local languages: issues, challenges and prospects of their transliteration. - Lukasz Kowalik, Shaohua Li, Wojciech Nadara, Marcin Smulewicz, Magnus Wahlström:
Many visits TSP revisited. - Jonathan Takeshita, Ryan Karl, Taeho Jung:
Secure Single-Server Nearly-Identical Image Deduplication. - Mahsan Nourani, Chiradeep Roy, Tahrima Rahman, Eric D. Ragan, Nicholas Ruozzi, Vibhav Gogate:
Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition. - Ali Hassan, Samrat Acharya, Michael Chertkov, Deepjyoti Deka, Yury Dvorkin:
A Hierarchical Approach to Multi-Energy Demand Response: From Electricity to Multi-Energy Applications. - Konstantinos Kousias, Giuseppe Caso, Özgü Alay, Anna Brunström, Luca De Nardis, Maria-Gabriella Di Benedetto, Marco Neri:
Coverage and Deployment Analysis of Narrowband Internet of Things in the Wild. - Ryan Steed:
Heuristic-Based Weak Learning for Moral Decision-Making. - Tate Shorthill, Han Bao, Hongbin Zhang, Heng Ban:
A Redundancy-Guided Approach for the Hazard Analysis of Digital Instrumentation and Control Systems in Advanced Nuclear Power Plants. - Emanuele Bugliarello, Sabrina J. Mielke, Antonios Anastasopoulos, Ryan Cotterell, Naoaki Okazaki:
It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information. - Niv Cohen, Yedid Hoshen:
Sub-Image Anomaly Detection with Deep Pyramid Correspondences. - Liron Bergman, Yedid Hoshen:
Classification-Based Anomaly Detection for General Data. - Sean MacAvaney, Arman Cohan, Nazli Goharian:
SLEDGE: A Simple Yet Effective Baseline for Coronavirus Scientific Knowledge Search. - Ting-Hao Kenneth Huang, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Yen-Chia Hsu, C. Lee Giles:
CODA-19: Reliably Annotating Research Aspects on 10,000+ CORD-19 Abstracts Using a Non-Expert Crowd. - Li Chen, Gramoz Goranci, Monika Henzinger, Richard Peng, Thatchaphol Saranurak:
Fast Dynamic Cuts, Distances and Effective Resistances via Vertex Sparsifiers. - Gramoz Goranci, Harald Räcke, Thatchaphol Saranurak, Zihan Tan:
The Expander Hierarchy and its Applications to Dynamic Graph Algorithms. - Deepak Bhaskar Acharya, Huaming Zhang:
Community Detection Clustering via Gumbel Softmax. - Achiya Elyasaf:
Context-Oriented Behavioral Programming. - Sadjad Sedighi, Ender Ayanoglu:
Bit-Interleaved Coded Multiple Beamforming with Perfect Coding in Massive MIMO Systems. - Pawel Parys:
Compositionality of the MSO+U Logic. - Lev V. Utkin, Maxim S. Kovalev, Ernest M. Kasimov:
SurvLIME-Inf: A simplified modification of SurvLIME for explanation of machine learning survival models. - Wanqing Zhang, Shuaichao Li, Ying Cui:
Jointly Sparse Support Recovery via Deep Auto-encoder with Applications in MIMO-based Grant-Free Random Access for mMTC. - Akaki Mamageishvili, Jan Christoph Schlegel:
Mechanism Design and Blockchains. - Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini:
Deep Lagrangian Constraint-based Propagation in Graph Neural Networks. - Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang:
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks. - Mehiar Dabbagh, Bechir Hamdaoui, Ammar Rayes:
Peak Power Shaving for Reduced Electricity Costs in Cloud Data Centers: Opportunities and Challenges. - Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau:
Automated Personalized Feedback Improves Learning Gains in an Intelligent Tutoring System. - David Demeter, Gregory Kimmel, Doug Downey:
Stolen Probability: A Structural Weakness of Neural Language Models. - Randy Bryant, Mark D. Hill, Tom Kazior, Daniel Lee, Jie Liu, Klara Nahrstedt, Vijay Narayanan, Jan M. Rabaey, Hava T. Siegelmann, Naresh R. Shanbhag, Naveen Verma, H.-S. Philip Wong:
Nanotechnology-inspired Information Processing Systems of the Future. - Deepak Mishra, Aravind Jayendran, Prathosh A. P.:
Effect of The Latent Structure on Clustering with GANs. - Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon:
Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery. - Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, Morteza Dehghani, Xiang Ren:
Contextualizing Hate Speech Classifiers with Post-hoc Explanation. - Azza E. A. Eltraify, Mohamed O. I. Musa, Ahmed N. Al-Quzweeni, Jaafar M. H. Elmirghani:
Evaluation of Applications Latency in Server Centric Passive Optical Network Based Data Centre Architectures. - José David Vega Sánchez, Diana Pamela Moya Osorio, Francisco Javier López-Martínez, Martha Cecilia Paredes Paredes, Luis Urquiza-Aguiar:
Physical Layer Security of TAS/MRC Over κ-μ Shadowed Fading Channel. - Jian Cao, Nicholas Adams-Cohen, R. Michael Alvarez:
Reliable and Efficient Long-Term Twitter Monitoring. - Julio C. S. Reis, Philipe de Freitas Melo, Kiran Garimella, Jussara M. Almeida, Dean Eckles, Fabrício Benevenuto:
A Dataset of Fact-Checked Images Shared on WhatsApp During the Brazilian and Indian Elections. - Peter Gorm Larsen, Hugo Daniel Macedo, John S. Fitzgerald, Holger Pfeifer, Martin Benedikt, Stefano Tonetta, Angelo Marguglio, Sergio Gusmeroli, George Suciu Jr.:
A Cloud-Based Collaboration Platform for Model-Based Design of Cyber-Physical Systems. - Abdullatif Baba:
Iris segmentation techniques to recognize the behavior of a vigilant driver. - Bassam Al-Shargabi, Mohammed Aleswid:
Performance of RPL in Healthcare Wireless Sensor Network. - Najmeddine Dhieb, Hakim Ghazzai, Hichem Besbes, Yehia Massoud:
Scalable and Secure Architecture for Distributed IoT Systems. - Bechir Hamdaoui, Bassem Khalfi, Nizar Zorba:
Dynamic Spectrum Sharing in the Age of Millimeter Wave Spectrum Access. - Ming Tang, Vincent W. S. Wong:
Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing Systems. - Abdullatif Baba:
A new design of a flying robot, with advanced computer vision techniques to perform self-maintenance of smart grids. - Ramy Mounir, Roman Gula, Jörn Theuerkauf, Sudeep Sarkar:
Temporal Event Segmentation using Attention-based Perceptual Prediction Model for Continual Learning. - Zein Shaheen, Gerhard Wohlgenannt, Bassel Zaity, Dmitry Mouromtsev, Vadim Pak:
Russian Natural Language Generation: Creation of a Language Modelling Dataset and Evaluation with Modern Neural Architectures. - Armin Sadeghi, Ahmad Bilal Asghar, Stephen L. Smith:
Approximation Algorithms for Distributed Multi-Robot Coverage in Non-Convex Environments. - Manling Li, Alireza Zareian, Qi Zeng, Spencer Whitehead, Di Lu, Heng Ji, Shih-Fu Chang:
Cross-media Structured Common Space for Multimedia Event Extraction. - Kervy Rivas Rojas, Gina Bustamante, Arturo Oncevay, Marco Antonio Sobrevilla Cabezudo:
Efficient strategies for hierarchical text classification: External knowledge and auxiliary tasks. - Andreas Richardson, Jiahua Xu:
Carbon Trading with Blockchain. - Lin Zhu, Juan Zhao, Yiting Wang, Juanlan Feng, Chao Deng, Zhenning Huang, Hui Li:
Smart Prediction of the Complaint Hotspot Problem in Mobile Network. - Sebastian Sadowski, Petros Spachos:
Wireless Technologies for Agricultural Monitoring using Internet of Things Devices with Energy Harvesting Capabilities. - Ming Tang, Vincent W. S. Wong:
Online Bitrate Selection for Viewport Adaptive 360-Degree Video Streaming. - Maxime Peyrard, Robert West:
A Ladder of Causal Distances. - Lodovica Marchesi, Michele Marchesi, Roberto Tonelli:
A Blockchain Architecture for Industrial Applications. - Tichakunda Mangono, Peter Smittenaar, Yael Caplan, Vincent S. Huang, Staci Sutermaster, Hannah Kemp, Sema K. Sgaier:
The Pace and Pulse of the Fight against Coronavirus across the US, A Google Trends Approach. - Rababah Baha, Saha Ullash:
Detecting and Healing Area Coverages Holes in homogeneous Wireless Sensor Network: Survey. - Kwot Sin Lee, Christopher Town:
Mimicry: Towards the Reproducibility of GAN Research. - Anna Engelmann, Admela Jukan:
A Simple Reliability Analysis of Complex Service Function Chains (SFCs). - Michael Rosenberg, John Henry Burns, Deeraj Nagothu, Yu Chen:
Enabling Continuous Operations for UAVs with an Autonomous Service Network Infrastructure. - Sabyasachi Chatterjee, Giacomo Po, Xiaohan Zhang, Amit Acharya, Nasr Ghoniem:
Plasticity without phenomenology: a first step. - Semih Yagli, Alex Dytso, H. Vincent Poor:
Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning. - Florent Kermarrec, Sébastien Bourdeauducq, Jean-Christophe Le Lann, Hannah Badier:
LiteX: an open-source SoC builder and library based on Migen Python DSL. - Mandy Guo, Yinfei Yang, Daniel Cer, Qinlan Shen, Noah Constant:
MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models. - Peeyush Gupta, Sharad Mehrotra, Nisha Panwar, Shantanu Sharma, Nalini Venkatasubramanian, Guoxi Wang:
Quest: Practical and Oblivious Mitigation Strategies for COVID-19 using WiFi Datasets. - Xinhui Wu, Jesse Chan, Ethan J. Kubatko:
High-order entropy stable discontinuous Galerkin methods for the shallow water equations: curved triangular meshes and GPU acceleration. - Maria Ryskina, Matthew R. Gormley, Taylor Berg-Kirkpatrick:
Phonetic and Visual Priors for Decipherment of Informal Romanization. - Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang, Wei Fan, Yuan Xiao, Dingjun Hao, Zhen Qian, Demetri Terzopoulos:
Partly Supervised Multitask Learning. - Henrique Lemos, Pedro H. C. Avelar, Marcelo O. R. Prates, Luís C. Lamb, Artur S. d'Avila Garcez:
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases. - Peyman Afshani, Mark de Berg, Kevin Buchin, Jie Gao, Maarten Löffler, Amir Nayyeri, Benjamin Raichel, Rik Sarkar, Haotian Wang, Hao-Tsung Yang:
Approximation Algorithms for Multi-Robot Patrol-Scheduling with Min-Max Latency. - Luca Soldaini, Alessandro Moschitti:
The Cascade Transformer: an Application for Efficient Answer Sentence Selection. - Daniel Ting, Rick Cole:
Conditional Cuckoo Filters. - Ahmed Elgohary, Saghar Hosseini, Ahmed Hassan Awadallah:
Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback. - Hyeongji Kim, Ketil Malde:
Proper measure for adversarial robustness. - Young Geun Kim, Carole-Jean Wu:
AutoScale: Optimizing Energy Efficiency of End-to-End Edge Inference under Stochastic Variance. - Kaouther Messaoud, Nachiket Deo, Mohan M. Trivedi, Fawzi Nashashibi:
Multi-Head Attention with Joint Agent-Map Representation for Trajectory Prediction in Autonomous Driving. - Duo Zhang, Om Rameshwar Gatla, Runzhou Han, Mai Zheng:
On Failure Diagnosis of the Storage Stack. - Dong Chen, Hong Yu:
Birth-Burst in Evolving Networks. - Yuting Cao, Hao Zheng, Sandip Ray, Jin Yang:
A Post-Silicon Trace Analysis Approach for System-on-Chip Protocol Debug. - Ho Kei Cheng, Jihoon Chung, Yu-Wing Tai, Chi-Keung Tang:
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement. - Guanlin Li, Shuya Ding, Jun Luo, Chang Liu:
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder. - Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Alexander Grushetsky, Yonghui Wu, Petr Mitrichev, Ethan Sterling, Nathan Bell, Walker Ravina, Hai Qian:
Interpretable Learning-to-Rank with Generalized Additive Models. - Wenhao Yu, Lingfei Wu, Qingkai Zeng, Yu Deng, Shu Tao, Meng Jiang:
Crossing Variational Autoencoders for Answer Retrieval. - Desheng Wang, Jiawei Liu, Xiang Qi, Baolin Sun, Peng Zhang:
Revisiting Regex Generation for Modeling Industrial Applications by Incorporating Byte Pair Encoder. - Pantea Kiaei, Patrick Schaumont:
Synthesis of Parallel Synchronous Software. - Yuhong Li, Cong Hao, Xiaofan Zhang, Xinheng Liu, Yao Chen, Jinjun Xiong, Wen-Mei W. Hwu, Deming Chen:
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions. - Andrea Bonito, Albert Cohen, Ronald A. DeVore, Diane Guignard, Peter Jantsch, Guergana Petrova:
Nonlinear Methods for Model Reduction. - Zaid Marji, Animesh Nighojkar, John Licato:
Probing the Natural Language Inference Task with Automated Reasoning Tools. - Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh:
Active Preference-Based Gaussian Process Regression for Reward Learning. - Elijah Malaby, Bradley Dragun, John Licato:
Towards Concise, Machine-discovered Proofs of Gödel's Two Incompleteness Theorems. - Shinsaku Sakaue:
Differentiable Greedy Submodular Maximization: Guarantees, Gradient Estimators, and Applications. - Darsen D. Lu, Mohan V. Dunga, Ali M. Niknejad, Chenming Hu, Fu-Xiang Liang, Wei-Chen Hung, Jia-Wei Lee, Chun-Hsiang Hsu, Meng-Hsueh Chiang:
Compact Device Models for FinFET and Beyond. - Fang Wan, Haokun Wang, Xiaobo Liu, Linhan Yang, Chaoyang Song:
DeepClaw: A Robotic Hardware Benchmarking Platform for Learning Object Manipulation. - Anirudh Som, Narayanan Krishnamurthi, Matthew P. Buman, Pavan K. Turaga:
Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns. - Terra Blevins, Luke Zettlemoyer:
Moving Down the Long Tail of Word Sense Disambiguation with Gloss-Informed Biencoders. - Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See:
Exploiting Inter-Frame Regional Correlation for Efficient Action Recognition. - Yinqiao Li, Chi Hu, Yuhao Zhang, Nuo Xu, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li:
Learning Architectures from an Extended Search Space for Language Modeling. - Ashish Gupta, Hari Prabhat Gupta, Bhaskar Biswas, Tanima Dutta:
Approaches and Applications of Early Classification of Time Series: A Review. - M. Praveen:
What You Must Remember When Transforming Datawords. - Raunak P. Bhattacharyya, Ransalu Senanayake, Kyle Brown, Mykel J. Kochenderfer:
Online Parameter Estimation for Human Driver Behavior Prediction. - Guanghui Song, Kui Cai, Xingwei Zhong, Jiang Yu, Jun Cheng:
Performance Limit and Coding Schemes for Resistive Random-Access Memory Channels. - Kyung-Hwan Shim, Ji-Hoon Jeong, Seong-Whan Lee:
Gradual Relation Network: Decoding Intuitive Upper Extremity Movement Imaginations Based on Few-Shot EEG Learning. - Hamed Nemati:
Secure System Virtualization: End-to-End Verification of Memory Isolation. - Kubra Cilingir, Rachel Manzelli, Brian Kulis:
Deep Divergence Learning. - Fabian Kirstein, Kyriakos Stefanidis, Benjamin Dittwald, Simon Dutkowski, Sebastian Urbanek, Manfred Hauswirth:
Piveau: A Large-scale Open Data Management Platform based on Semantic Web Technologies. - Cosmin Pascaru, Paul Diac:
Vehicle Routing and Scheduling for Regular Mobile Healthcare Services. - Hao Fang:
Building A User-Centric and Content-Driven Socialbot. - Wanli Wen, Ying Cui, Tony Q. S. Quek, Fu-Chun Zheng, Shi Jin:
Joint Optimal Software Caching, Computation Offloading and Communications Resource Allocation for Mobile Edge Computing. - Andrei Netedu, Sabin C. Buraga, Paul Diac, Liana Tucar:
A Web Service Composition Method Based on OpenAPI Semantic Annotations. - Andrea Franceschetti, Elisa Tosello, Nicola Castaman, Stefano Ghidoni:
Robotic Arm Control and Task Training through Deep Reinforcement Learning. - Kai Zhao, Xinyu Zhang, Qi Han, Ming-Ming Cheng:
Dependency Aware Filter Pruning. - Durgesh Samariya, Jiangang Ma, Sunil Aryal:
A Comprehensive Survey on Outlying Aspect Mining Methods. - Yiting Li, Yu Cheng, Lu Liu, Sichao Tian, Haiyue Zhu, Cheng Xiang, Prahlad Vadakkepat, Chek Sing Teo, Tong Heng Lee:
Low-shot Object Detection via Classification Refinement. - Wonsik Jung, Eunji Jun, Heung-Il Suk:
Deep Recurrent Disease Progression Model for Conversion-Time Prediction of Alzheimer's Disease. - Mehmet Karaca:
Scheduling and Dynamic Pilot Allocation For Massive MIMO with Varying Traffic. - Riona Tadaki, Kazuyuki Amano:
Search for developments of a box having multiple ways of folding by SAT solver. - Mathijs Schuurmans, Alexander Katriniok, Hongtei Eric Tseng, Panagiotis Patrinos:
Learning-Based Risk-Averse Model Predictive Control for Adaptive Cruise Control with Stochastic Driver Models. - Tuomas Halvari, Jukka K. Nurminen, Tommi Mikkonen:
Testing the Robustness of AutoML Systems. 103-116 - Ziaur Rahman:
Enhancing Software Development Process (ESDP) using Data Mining Integrated Environment. - Edoardo Artioli, Lorenzo Mascotto:
A new paradigm for enriching virtual element methods. - Aurélien Cavelan, Rubén M. Cabezón, Michal Grabarczyk, Florina M. Ciorba:
A Smoothed Particle Hydrodynamics Mini-App for Exascale. - Samira Babalou, Birgitta König-Ries:
Towards Building Knowledge by Merging Multiple Ontologies with CoMerger: A Partitioning-based Approach. - Rodrigo A. González, Cristian R. Rojas, Siqi Pan, James S. Welsh:
Consistent identification of continuous-time systems under multisine input signal excitation. - Fan He, Xiaolin Huang, Kexin Lv, Jie Yang:
A Communication-Efficient Distributed Algorithm for Kernel Principal Component Analysis. - Tim Cofala, Lars Elend, Philip Mirbach, Jonas Prellberg, Thomas Teusch, Oliver Kramer:
Evolutionary Multi-Objective Design of SARS-CoV-2 Protease Inhibitor Candidates. - Anh Duc Le:
Automated Transcription for Pre-Modern Japanese Kuzushiji Documents by Random Lines Erasure and Curriculum Learning. - Marek Kowalski, Stephan J. Garbin, Virginia Estellers, Tadas Baltrusaitis, Matthew Johnson, Jamie Shotton:
CONFIG: Controllable Neural Face Image Generation. - Daniel Etiemble:
Comparing quaternary and binary multipliers. - Longyin Zhang, Yuqing Xing, Fang Kong, Peifeng Li, Guodong Zhou:
A Top-Down Neural Architecture towards Text-Level Parsing of Discourse Rhetorical Structure. - Jeffrey Cornelis, Wim Vanroose:
Projected Newton method for noise constrained 𝓁p regularization. - Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen:
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia. - Henry Elder, Robert Burke, Alexander O'Connor, Jennifer Foster:
Shape of synth to come: Why we should use synthetic data for English surface realization. - Li Wang, Dawei Zhao, Tao Wu, Hao Fu, Zhiyu Wang, Liang Xiao, Xin Xu, Bin Dai:
Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds. - Jing Wu, Xiang Zhang, Mingyi Zhou, Ce Zhu:
ProbaNet: Proposal-balanced Network for Object Detection. - Amir Reza Isazadeh, Mansoor Shamloofard, Ahmad Assempour:
Some improvements on the one-step inverse isogeometric analysis by proposing a multi-step inverse isogeometric methodology in sheet metal stamping processes. - Aritra Mukherjee, Sourya Dipta Das, Jasorsi Ghosh, Ananda S. Chowdhury, Sanjoy Kumar Saha:
Fast Geometric Surface based Segmentation of Point Cloud from Lidar Data. - Wafaa B. M. Fadlelmula, Sanaa Hamid Mohamed, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Caching Video-on-Demand in Metro and Access Fog Data Centres. - Lieke Gelderloos, Grzegorz Chrupala, Afra Alishahi:
Learning to Understand Child-directed and Adult-directed Speech. - Luís M. S. Russo, Alexandre P. Francisco, Tatiana Rocher:
Incremental Multiple Longest Common Sub-Sequences. - Keziban Orbay, Ruben Miranda, Metin Orbay:
Building Journal Impact Factor Quartile into the Assessment of Academic Performance: A Case Study. - Mingyi Liu, Zhiying Tu, Xiaofei Xu, Zhongjie Wang:
Community-Based Service Ecosystem Evolution Analysis. - Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Uygar Tuna, Jarno Nikkanen, Moncef Gabbouj:
Probabilistic Color Constancy. - David Defour, Pablo de Oliveira Castro, Matei Istoan, Eric Petit:
Custom-Precision Mathematical Library Explorations for Code Profiling and Optimization. - Ion Victor Gosea, Athanasios C. Antoulas:
Rational approximation of the absolute value function from measurements: a numerical study of recent methods. - Beomjun Kim, Jeongho Kim, Subin Huh, Seungil You, Insoon Yang:
Multi-Objective Predictive Taxi Dispatch via Network Flow Optimization. - Sören Bartels, Zhangxian Wang:
Orthogonality relations of Crouzeix-Raviart and Raviart-Thomas finite element spaces. - Davide Bilò, Vittorio Bilò, Pascal Lenzner, Louise Molitor:
Topological Influence and Locality in Swap Schelling Games. - Alexander Prutsch, Antonio Pepe, Jan Egger:
Design and Development of a Web-based Tool for Inpainting of Dissected Aortae in Angiography Images. - Marcel Menner, Melanie N. Zeilinger:
Maximum Likelihood Methods for Inverse Learning of Optimal Controllers. - Enrica Soria, Fabrizio Schiano, Dario Floreano:
SwarmLab: a Matlab Drone Swarm Simulator. - Timur Sokhin, Maria Khodorchenko, Nikolay Butakov:
Unsupervised Neural Aspect Search with Related Terms Extraction. - Katalin Feher, Asta Zelenkauskaite:
AI in society and culture: decision making and values. - Junhua Liu, Yung Chuen Ng, Kwan Hui Lim:
A Large-scale Industrial and Professional Occupation Dataset. - Flavio Cirillo, Gürkan Solmaz, Everton Luís Berz, Martin Bauer, Bin Cheng, Ernö Kovacs:
A Standard-based Open Source IoT Platform: FIWARE. - Hao He, Hengchen Dai, Naiyan Wang:
UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving. - Mojtaba Noghabaei, Arsalan Heydarian, Vahid Balali, Kevin K. Han:
A Survey Study to Understand Industry Vision for Virtual and Augmented Reality Applications in Design and Construction. - Janin Jäger:
Strictly positive definite kernels on the 2-sphere: beyond radial symmetry. - Yifan Peng, Qingyu Chen, Zhiyong Lu:
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining. - Natesh Ganesh:
A Non-equilibrium Thermodynamic Framework of Consciousness. - Juan Afanador:
A Formal Critique of the Value of the Colombian Páramo. - Romit S. Beed, Sunita Sarkar, Arindam Roy, Durba Bhattacharya:
Hierarchical Bayesian Approach for Improving Weights for Solving Multi-Objective Route Optimization Problem. - Max Kochurov, Rasul Karimov, Serge Kozlukov:
Geoopt: Riemannian Optimization in PyTorch. - Andrea Kuijt, Maryam Alimardani:
Prediction of Human Empathy based on EEG Cortical Asymmetry. - El hadji M. Fall, Elhadji Mamadou Nguer, Bao Diop Sokhna, Mouhamadou Khoule, Mathieu Mangeot, Mame T. Cisse:
Digraphie des langues ouest africaines : Latin2Ajami : un algorithme de translitteration automatique. - Aleem Akhtar:
Role of Apache Software Foundation in Big Data Projects. - Nguyen Van Hieu, Ngo Le Huy Hien:
Automatic Plant Image Identification of Vietnamese species using Deep Learning Models. - Ruichu Cai, Zhihao Liang, Boyan Xu, Zijian Li, Yuexing Hao, Yao Chen:
TAG : Type Auxiliary Guiding for Code Comment Generation. - Emma J. Gerritse, Faegheh Hasibi, Arjen P. de Vries:
Graph-Embedding Empowered Entity Retrieval. - Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation. - David Avis, David Bremner:
Sparktope: linear programs from algorithms. - Ernande F. Melo, Hélio Magalhães de Oliveira:
An Overview of Self-Similar Traffic: Its Implications in the Network Design. - Azamat Sultanov, Konstantin Kogos:
Insider Threat Detection Based on Stress Recognition Using Keystroke Dynamics. - Lorenzo Mantovan, Loris Nanni:
The computerization of archaeology: survey on AI techniques. - Abd Essamade Saufi, Olivier Desjardins, Alberto Cuoci:
An accurate methodology for surface tension modeling in OpenFOAM. - Abd Essamade Saufi, Alessio Frassoldati, Tiziano Faravelli, Alberto Cuoci:
Direct numerical simulation of the combustion of a suspended droplet in normal gravity. - Abd Essamade Saufi, Alessio Frassoldati, Alberto Cuoci, Tiziano Faravelli:
DropletSMOKE++: a comprehensive multiphase CFD framework for the evaporation of multidimensional fuel droplets. - Toshiaki Koike-Akino, Ye Wang:
Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction. - Paulo Bartolomeu, Emanuel Vieira, Joaquim Ferreira:
Pay as You Go: A Generic Crypto Tolling Architecture. - Michael Heck, Carel van Niekerk, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Marco Moresi, Milica Gasic:
TripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Tracking. - Kaiyu Zheng, Yoonchang Sung, George Konidaris, Stefanie Tellex:
Multi-Resolution POMDP Planning for Multi-Object Search in 3D. - Eliza Kosoy, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy H. Huang, Alison Gopnik, John F. Canny:
Exploring Exploration: Comparing Children with RL Agents in Unified Environments. - Ali Ahmadi Dastjerdi, Alessandro Astolfi, S. Hassan HosseinNia:
A Frequency-Domain Stability Method for Reset Systems. - Ali Ahmadi Dastjerdi, Niranjan Saikumar, S. Hassan HosseinNia:
Optimal Tuning of a Class of Reset Controllers using Higher-Order Describing Function Analysis: Application in Precision Motion Systems. - Gullal Singh Cheema, Saket Anand:
Automatic Detection and Recognition of Individuals in Patterned Species. - (Withdrawn) Review of Text Style Transfer Based on Deep Learning.
- Zhongli Li, Wenhui Wang, Li Dong, Furu Wei, Ke Xu:
Harvesting and Refining Question-Answer Pairs for Unsupervised QA. - Christos Diou, Ioannis A. Sarafis, Vassilis Papapanagiotou, Leonidas Alagialoglou, Irini Lekka, Dimitrios Filos, Leandros Stefanopoulos, Vasileios Kilintzis, Christos Maramis, Youla Karavidopoulou, Nicos Maglaveras, Ioannis Ioakimidis, Evangelia Charmandari, Penio Kassari, Athanasia Tragomalou, Monica Mars, Thien-An Ngoc Nguyen, M. Tahar Kechadi, Shane O' Donnell, Gerardine Doyle, Sarah Browne, Grace O' Malley, Rachel Heimeier, Katerina Riviou, Evangelia Koukoula, Konstantinos Filis, Maria Hassapidou, Ioannis Pagkalos, Daniel Ferri, Isabel Pérez, Anastasios Delopoulos:
BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment. - Patricia Pauli, Anne Koch, Julian Berberich, Frank Allgöwer:
Training robust neural networks using Lipschitz bounds. - Pierre-Alexandre Kamienny, Matteo Pirotta, Alessandro Lazaric, Thibault Lavril, Nicolas Usunier, Ludovic Denoyer:
Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization. - Ankita Shukla, Pavan K. Turaga, Saket Anand:
GraCIAS: Grassmannian of Corrupted Images for Adversarial Security. - Abhinav Jha:
A Residual Based A Posteriori Error Estimators for AFC Schemes for Convection-Diffusion Equations. - Marc Beunardeau, Éric Brier, Noémie Cartier, Aisling Connolly, Nathanaël Courant, Rémi Géraud-Stewart, David Naccache, Ofer Yifrach-Stav:
Optimal Covid-19 Pool Testing with a priori Information. - Mingyue He, Zahra Soltani, Mojdeh Khorsand:
Two-Stage Distributed Energy Resources Scheduling via Chance-Constrained AC Optimal Power Flow: A Second-Order Cone Programming Approach. - Demetrios A. M. Coutinho, Daniele De Sensi, Arthur Francisco Lorenzon, Kyriakos Georgiou, José L. Núñez-Yáñez, Kerstin Eder, Samuel Xavier de Souza:
Performance and Energy Trade-Offs for Parallel Applications on Heterogeneous Multi-Processing Systems. - Benjamin J. Radford:
Multitask Models for Supervised Protests Detection in Texts. - Akhila Sri Manasa Venigalla, Dheeraj Vagavolu, Sridhar Chimalakonda:
Mood of India During Covid-19 - An Interactive Web Portal Based on Emotion Analysis of Twitter Data. - Zehao Chen, Hua Yang:
Manipulated Face Detector: Joint Spatial and Frequency Domain Attention Network. - Colin White, Sam Nolen, Yash Savani:
Local Search is State of the Art for NAS Benchmarks. - Sabah Al-Fedaghi:
Causality in Static Models as an Initial Constraint on the Chronology of Events in System Behavior. - Christian Parkinson:
A Rotating-Grid Upwind Fast Sweeping Scheme for a Class of Hamilton-Jacobi Equations. - Maayan Shvo, Toryn Q. Klassen, Sheila A. McIlraith:
Towards the Role of Theory of Mind in Explanation. - Benjamin J. Radford:
Seeing the Forest and the Trees: Detection and Cross-Document Coreference Resolution of Militarized Interstate Disputes. - Chris Nicholls, Marko Bacic:
Closed-Loop Control of a Piezo-Fluidic Amplifier. - Cameron P. Kyle-Davidson, Adrian G. Bors, Karla K. Evans:
Generating Memorable Images Based on Human Visual Memory Schemas. - Ainesh Bakshi, Pravesh Kothari:
Outlier-Robust Clustering of Non-Spherical Mixtures. - Mauro Bisiacco, Gianluigi Pillonetto:
Mathematical foundations of stable RKHSs. - Alexis Pister, Paolo Buono, Jean-Daniel Fekete, Catherine Plaisant, Paola Valdivia:
Integrating Prior Knowledge in Mixed Initiative Social Network Clustering. - Jajati Keshari Sahoo, Gayatri Maharana, Ratikanta Behera:
Further results on weighted core-EP inverse of matrices. - Giovanni de Felice, Alexis Toumi, Bob Coecke:
DisCoPy: Monoidal Categories in Python. 183-197 - Jaume Riba, Ferran De Cabrera:
Regularized Estimation of Information via High Dimensional Canonical Correlation Analysis. - Anthony Corso, Robert J. Moss, Mark Koren, Ritchie Lee, Mykel J. Kochenderfer:
A Survey of Algorithms for Black-Box Safety Validation. - Guy Emerson:
What are the Goals of Distributional Semantics? - Ana Trisovic, Philip Durbin, Tania Schlatter, Gustavo Durand, Sonia Barbosa, Danny Brooke, Mercè Crosas:
Advancing computational reproducibility in the Dataverse data repository platform. - Kin Max Piamolini Gusmão, Ramon Fraga Pereira, Felipe Meneguzzi:
The More the Merrier?! Evaluating the Effect of Landmark Extraction Algorithms on Landmark-Based Goal Recognition. - Tim-Oliver Buchholz, Mangal Prakash, Alexander Krull, Florian Jug:
DenoiSeg: Joint Denoising and Segmentation. - Shubham Toshniwal, Allyson Ettinger, Kevin Gimpel, Karen Livescu:
PeTra: A Sparsely Supervised Memory Model for People Tracking. - Guy Emerson:
Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics. - Jawad Ismail, Steven Liu:
A Framework for Quasi Time-Optimal Nonlinear Model Predictive Control with Soft Constraints. - Yixian Zhu, Ketan Savla:
A Semidefinite Approach to Information Design in Non-atomic Routing Games. - Dayane Reis, Jonathan Takeshita, Taeho Jung, Michael T. Niemier, Xiaobo Sharon Hu:
Computing-in-Memory for Performance and Energy Efficient Homomorphic Encryption. - Martín Barrère, Chris Hankin:
Fault Tree Analysis: Identifying Maximum Probability Minimal Cut Sets with MaxSAT. - Artem Kramov:
Evaluating text coherence based on the graph of the consistency of phrases to identify symptoms of schizophrenia. - Mohamed A. ElHelw:
Overview of Surgical Simulation. - Tianze Shi, Lillian Lee:
Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches. - Don M. Dini:
Learning, transferring, and recommending performance knowledge with Monte Carlo tree search and neural networks. - Asir Saeed, Khai Mai, Pham Minh, Nguyen Tuan Duc, Danushka Bollegala:
Weakly-Supervised Neural Response Selection from an Ensemble of Task-Specialised Dialogue Agents. - Akash Deep Singh, Luis Garcia, Joseph Noor, Mani B. Srivastava:
I Always Feel Like Somebody's Sensing Me! A Framework to Detect, Identify, and Localize Clandestine Wireless Sensors. - Ronald B. Morgan, Travis Whyte, Walter Wilcox, Zhao Yang:
Two-Grid Deflated Krylov Methods for Linear Equations. - Lachlan McPheat, Mehrnoosh Sadrzadeh, Hadi Wazni, Gijs Wijnholds:
Categorical Vector Space Semantics for Lambek Calculus with a Relevant Modality. - Zhuo Xu, Jianyu Chen, Masayoshi Tomizuka:
Guided Policy Search Model-based Reinforcement Learning for Urban Autonomous Driving. - Shikhar Tuli, Shreshth Tuli:
AVAC: A Machine Learning based Adaptive RRAM Variability-Aware Controller for Edge Devices. - Catherine Ordun, Sanjay Purushotham, Edward Raff:
Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs. - Christoph Becker:
Beware the Normative Fallacy. - Yubo Zhang, Hao Tan, Mohit Bansal:
Diagnosing the Environment Bias in Vision-and-Language Navigation. - Michael Kohlhase, Florian Rabe:
Experiences from Exporting Major Proof Assistant Libraries. - Huynh Thi Thanh Binh, Pham Dinh Thanh, Tran Ba Trung, Le Cong Thanh, Le Minh Hai Phong, Ananthram Swami, Lam Thu Bui:
A Multifactorial Optimization Paradigm for Linkage Tree Genetic Algorithm. - Yifan Zhou, Fuhui Zhou, Huilin Zhou, Derrick Wing Kwan Ng, Rose Qingyang Hu:
Robust Trajectory and Transmit Power Optimization for Secure UAV-Enabled Cognitive Radio Networks. - Sicong Liu, Liang Xiao, Zhu Han, Yuliang Tang:
Eliminating NB-IoT Interference to LTE System: a Sparse Machine Learning Based Approach. - Anna Levin, Shelly Garion, Elliot K. Kolodner, Dean H. Lorenz, Katherine Barabash, Mike Kugler, Niall McShane:
AIOps for a Cloud Object Storage Service. - Eleftherios Anastasiadis, Argyrios Deligkas:
Heterogeneous Facility Location Games. - Yuxin Lu, Wai Ho Mow:
Near-optimal Detector for SWIPT-enabled Differential DF Relay Networks with SER Analysis. - Arne Decadt, Jasper De Bock, Gert de Cooman:
Inference with Choice Functions Made Practical. - Elham Kalantari, Sergey Loyka, Halim Yanikomeroglu, Abbas Yongaçoglu:
Optimal Location of Cellular Base Station via Convex Optimization. - Xinjiang Wang, Shilong Zhang, Zhuoran Yu, Litong Feng, Wayne Zhang:
Scale-Equalizing Pyramid Convolution for Object Detection. - Yeow Meng Chee, Tuvi Etzion, Han Mao Kiah, Alexander Vardy, Van Khu Vu, Eitan Yaakobi:
Constrained de Bruijn Codes: Properties, Enumeration, Constructions, and Applications. - Gabriel Salomon, Rayson Laroca, David Menotti:
Deep Learning for Image-based Automatic Dial Meter Reading: Dataset and Baselines. - Anil Ramakrishna, Rahul Gupta, Shrikanth Narayanan:
Joint Multi-Dimensional Model for Global and Time-Series Annotations. - Po-Yao Huang, Junjie Hu, Xiaojun Chang, Alexander G. Hauptmann:
Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting. - Lesia Mitridati, Pascal Van Hentenryck, Jalal Kazempour:
Electricity-Aware Heat Unit Commitment: A Bid-Validity Approach. - Amey Bhangale, Prahladh Harsha, Orr Paradise, Avishay Tal:
Rigid Matrices From Rectangular PCPs. - Bogdan Copos, Sean Peisert:
Catch Me If You Can: Using Power Analysis to Identify HPC Activity. - Zifan Wang, Yilin Yang, Ankit Shrivastava, Varun Rawal, Zihao Ding:
Towards Frequency-Based Explanation for Robust CNN. - Milad Siami, Ali Jadbabaie:
A Separation Theorem for Joint Sensor and Actuator Scheduling with Guaranteed Performance Bounds. - Xiaobing Feng, Andreas Prohl, Liet Vo:
Optimally Convergent Mixed Finite Element Methods for the Stochastic Stokes Equations. - Patrick E. Farrell, Pablo Alexei Gazca-Orozco:
An augmented Lagrangian preconditioner for implicitly-constituted non-Newtonian incompressible flow. - Preston Culbertson, Jean-Jacques E. Slotine, Mac Schwager:
Decentralized Adaptive Control for Collaborative Manipulation of Rigid Bodies. - Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory G. Slabaugh, Xiaotong Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu, Yihao Chu, Qingyan Sun, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Bolun Zheng, Xiaohong Liu, Linhui Dai, Jun Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Chul Lee, Vien Gia An, Hyunkook Park, Sabari Nathan, M. Parisa Beham, S. Mohamed Mansoor Roomi, Florian Lemarchand, Maxime Pelcat, Erwan Nogues, Densen Puthussery, Hrishikesh P. S, C. V. Jiji, Ashish Sinha, Xuan Zhao:
NTIRE 2020 Challenge on Image Demoireing: Methods and Results. - Jeremy Kepner, Darren Engwirda, Vijay Gadepally, Chris Hill, Tim Kraska, Michael Jones, Andreas Kipf, Lauren Milechin, Navin Vembar:
Fast Mapping onto Census Blocks. - Cosimo Persia, Ana Ozaki:
On the Learnability of Possibilistic Theories. - Guanze Peng, Veeraruna Kavitha, Quanyan Zhu:
On Optimal Control of Discounted Cost Infinite-Horizon Markov Decision Processes Under Local State Information Structures. - Ryota Tanaka, Akinobu Lee:
Fact-based Dialogue Generation with Convergent and Divergent Decoding. - Kishen N. Gowda, Neeldhara Misra, Vraj Patel:
A Parameterized Perspective on Attacking and Defending Elections. - Dung Hoang Duong, Partha Sarathi Roy, Willy Susilo, Kazuhide Fukushima, Shinsaku Kiyomoto, Arnaud Sipasseuth:
Lattice-based public key encryption with equality test in standard model, revisited. - Kaushik Bhattacharya, Bamdad Hosseini, Nikola B. Kovachki, Andrew M. Stuart:
Model Reduction and Neural Networks for Parametric PDEs. - Shaik Tanveer Ul Huq, Vadlamani Ravi, Kalyanmoy Deb:
Evolutionary Multi Objective Optimization Algorithm for Community Detection in Complex Social Networks. - David Murphy, Thomas S. Paula, Wagston Staehler, Juliano Vacaro, Gabriel Paz, Guilherme Marques, Bruna Oliveira:
A Proposal for Intelligent Agents with Episodic Memory. - Michal Derezinski, Michael W. Mahoney:
Determinantal Point Processes in Randomized Numerical Linear Algebra. - Song-Nam Hong, Jeongmin Chae:
Active Learning with Multiple Kernels. - Heng Yang:
A Dynamical Perspective on Point Cloud Registration. - Joshua Ani, Erik D. Demaine, Dylan H. Hendrickson, Jayson Lynch:
Trains, Games, and Complexity: 0/1/2-Player Motion Planning through Input/Output Gadgets. - Koji Tsumura, Binh Minh Nguyen, Hisaya Wakayama, Shinji Hara:
Distributed Stabilization by Probability Control for Deterministic-Stochastic Large Scale Systems : Dissipativity Approach. - Talal Alatiah, Chen Chen:
Recognizing Exercises and Counting Repetitions in Real Time. - Anshuman Chhabra, Prasant Mohapatra:
Fair Algorithms for Hierarchical Agglomerative Clustering. - Hangyu Tian, Kaiping Xue, Shaohua Li, Jie Xu, Jianqing Liu, Jun Zhao:
Enabling Cross-chain Transactions: A Decentralized Cryptocurrency Exchange Protocol. - Lele Chen, Guofeng Cui, Ziyi Kou, Haitian Zheng, Chenliang Xu:
What comprises a good talking-head video generation?: A Survey and Benchmark. - Talha Ahmed Khan, Mehrnaz Afshang:
A Stochastic Geometry Approach to Doppler Characterization in a LEO Satellite Network. - Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Hierarchical Attention Network for Action Segmentation. - Hong Jun Jeon, Dylan P. Losey, Dorsa Sadigh:
Shared Autonomy with Learned Latent Actions. - Kuntal Deka, Anna Thomas, Sanjeev Sharma:
OTFS-NOMA based on SCMA. - Nantheera Anantrasirichai, Juliet Biggs, Krisztina Kelevitz, Zahra Sadeghi, Tim J. Wright, James Thompson, Alin Achim, David Bull:
Deep Learning Framework for Detecting Ground Deformation in the Built Environment using Satellite InSAR data. - Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes:
End-to-End Domain Adaptive Attention Network for Cross-Domain Person Re-Identification. - Ziyuan Zhao, Xiaoyan Yang, Bharadwaj Veeravalli, Zeng Zeng:
Deeply Supervised Active Learning for Finger Bones Segmentation. - Chenhao Xie, Qiao Cheng, Jiaqing Liang, Lihan Chen, Yanghua Xiao:
Collective Loss Function for Positive and Unlabeled Learning. - Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong:
Subdomain Adaptation with Manifolds Discrepancy Alignment. - Matin Hosseini, Anthony S. Maida:
Hierarchical Predictive Coding Models in a Deep-Learning Framework. - Qiang Yu, Chenxiang Ma, Shiming Song, Gaoyan Zhang, Jianwu Dang, Kay Chen Tan:
Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes. - Peisheng Qian, Ziyuan Zhao, Haobing Liu, Yingcai Wang, Yu Peng, Sheng Hu, Jing Zhang, Yue Deng, Zeng Zeng:
Multi-Target Deep Learning for Algal Detection and Classification. - Djordje Grbic, Sebastian Risi:
Safe Reinforcement Learning through Meta-learned Instincts. - Jesse Chan, Mario J. Bencomo, David C. Del Rey Fernández:
Mortar-based entropy-stable discontinuous Galerkin methods on non-conforming quadrilateral and hexahedral meshes. - Teng Zhang:
Phase retrieval of complex-valued objects via a randomized Kaczmarz method. - Bin Liu, Konstantinos Blekas, Grigorios Tsoumakas:
Multi-Label Sampling based on Local Label Imbalance. - Md. Emran, Humaun Kabir, Ziaur Rahman, Nazrul Islam:
Enhancing Software Development Process Using Automated Adaptation of Object Ensembles. - Dong Sun, Zezheng Feng, Yuanzhe Chen, Yong Wang, Jia Zeng, Mingxuan Yuan, Ting-Chuen Pong, Huamin Qu:
DFSeer: A Visual Analytics Approach to Facilitate Model Selection for Demand Forecasting. - Nicolas Langrené, Xavier Warin:
Fast multivariate empirical cumulative distribution function with connection to kernel density estimation. - Vivek Dixit, Raja Selvarajan, Muhammad Ashraful Alam, Travis S. Humble, Sabre Kais:
Training and Classification using a Restricted Boltzmann Machine on the D-Wave 2000Q. - Siddharth Jain, Farzad Farnoud, Moshe Schwartz, Jehoshua Bruck:
Coding for Optimized Writing Rate in DNA Storage. - Larry Allen, Robert C. Kirby:
Structured inversion of the Bernstein-Vandermonde Matrix. - Brendon Pon:
Critique of Boyu Sima's Proof that P ≠ NP. - Siwei Fu, Kai Xiong, Xiaodong Ge, Siliang Tang, Wei Chen, Yingcai Wu:
Quda: Natural Language Queries for Visual Data Analytics. - Shovik Ganguly, Atrayee Chatterjee, Debasmita Bhoumik, Ritajit Majumdar:
An Empirical Study of Incremental Learning in Neural Network with Noisy Training Set. - Yijian Zhang, Emiliano Dall'Anese, Mingyi Hong:
Online Proximal-ADMM For Time-varying Constrained Optimization. - Alexandre Capone, Armin Lederer, Jonas Umlauft, Sandra Hirche:
Data selection for multi-task learning under dynamic constraints. - Matteo Bortolon, Paul Chippendale, Stefano Messelodi, Fabio Poiesi:
Multi-view data capture using edge-synchronised mobiles. - Shi-Liang Wu, Shu-Qian Shen:
On the unique solution of the generalized absolute value equation. - Ying-Sheng Luo, Jonathan Hans Soeseno, Trista Pei-Chun Chen, Wei-Chao Chen:
CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion. - Mario Golling, Robert Koch, Peter Hillmann, Rick Hofstede, Frank Tietze:
YANG2UML: Bijective Transformation and Simplification of YANG to UML. - Nirbhay Kumar Tagore, Ayushman Singh, Sumanth Manche, Pratik Chattopadhyay:
Deep Learning based Person Re-identification. - Severin Kacianka, Amjad Ibrahim, Alexander Pretschner:
Expressing Accountability Patterns using Structural Causal Models. - Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua:
Knowledge Enhanced Neural Fashion Trend Forecasting. - Yan Cao, Keting Lu, Xiaoping Chen, Shiqi Zhang:
Adaptive Dialog Policy Learning with Hindsight and User Modeling. - Alok Tripathy, Katherine A. Yelick, Aydin Buluç:
Reducing Communication in Graph Neural Network Training. - Zubair Ashraf, Mukul Lata Roy, Pranab K. Muhuri, Q. M. Danish Lohani:
Interval type-2 fuzzy logic system based similarity evaluation for image steganography. - Avi Shmidman, Shaltiel Shmidman, Moshe Koppel, Yoav Goldberg:
Nakdan: Professional Hebrew Diacritizer. - Fei Song, Khaled Zaouk, Chenghao Lyu, Arnab Sinha, Qi Fan, Yanlei Diao, Prashant J. Shenoy:
Boosting Cloud Data Analytics using Multi-Objective Optimization. - Jiawei Zhao, Rahat Masood, Suranga Seneviratne:
A Review of Computer Vision Methods in Network Security. - Alberto Martin-Lopez, Sergio Segura, Carlos Müller, Antonio Ruiz-Cortés:
Specification and Automated Analysis of Inter-Parameter Dependencies in Web APIs. - Antonín Steinhauser, Petr Tuma:
Database Traffic Interception for Graybox Detection of Stored and Context-Sensitive XSS. - Aparna Basu, Deepika Malhotra, Taniya Seth, Pranab K. Muhuri:
Global Distribution of Google Scholar Citations: A Size-independent Institution-based Analysis. - Bailu Ding, Surajit Chaudhuri, Vivek R. Narasayya:
Bitvector-aware Query Optimization for Decision Support Queries (extended version). - Agostino Funel:
Causal Paths in Temporal Networks of Face-to-Face Human Interactions. - Qiufu Li, Linlin Shen, Sheng Guo, Zhihui Lai:
Wavelet Integrated CNNs for Noise-Robust Image Classification. - Wenjia Wang, Enze Xie, Xuebo Liu, Wenhai Wang, Ding Liang, Chunhua Shen, Xiang Bai:
Scene Text Image Super-Resolution in the Wild. - Weiwei Wan, Takeyuki Kotaka, Kensuke Harada:
Arranging Test Tubes in Racks Using Combined Task and Motion Planning. - Masahiro Oda, Natsuki Shimizu, Kenichi Karasawa, Yukitaka Nimura, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori:
Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation. - Paula Harder, Balázs Kovács:
Error estimates for the Cahn-Hilliard equation with dynamic boundary conditions. - Felipe Maldonado, Gerardo Berbeglia, Pascal Van Hentenryck:
Pricing under a multinomial logit model with non linear network effects. - Shaopeng Guo, Yujie Wang, Quanquan Li, Junjie Yan:
DMCP: Differentiable Markov Channel Pruning for Neural Networks. - Seongho Choi, Kyoung-Woon On, Yu-Jung Heo, Ahjeong Seo, Youwon Jang, Seungchan Lee, Min Su Lee, Byoung-Tak Zhang:
DramaQA: Character-Centered Video Story Understanding with Hierarchical QA. - Feitong Tan, Hao Zhu, Zhaopeng Cui, Siyu Zhu, Marc Pollefeys, Ping Tan:
Self-Supervised Human Depth Estimation from Monocular Videos. - Zhuoyuan Mao, Fabien Cromierès, Raj Dabre, Haiyue Song, Sadao Kurohashi:
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation. - Rayna Dimitrova, Bernd Finkbeiner, Hazem Torfah:
Probabilistic Hyperproperties of Markov Decision Processes. - Ralf R. Müller:
Soft Interference Cancellation for Random Coding in Massive Gaussian Multiple-Access. - Meysam Yari, Parham Hadikhani, Zohreh Asgharzadeh:
Energy-efficient topology to enhance the wireless sensor network lifetime using connectivity control. - Peng Wang, Lingjie Liu, Nenglun Chen, Hung-Kuo Chu, Christian Theobalt, Wenping Wang:
Vid2Curve: Simultaneous Camera Motion Estimation and Thin Structure Reconstruction from an RGB Video. - Chris J. Hughes, Mario Montagud:
Accessibility in 360-degree video players. - Anssi Kanervisto, Janne Karttunen, Ville Hautamäki:
Playing Minecraft with Behavioural Cloning. - Pranav A, Isabelle Augenstein:
2kenize: Tying Subword Sequences for Chinese Script Conversion. - Behrouz Bolourian Haghighi, Amir Hossein Taherinia, Ahad Harati, Modjtaba Rouhani:
WSMN: An optimized multipurpose blind watermarking in Shearlet domain using MLP and NSGA-II. - Li Weng, Valérie Gouet-Brunet, Bahman Soheilian:
Semantic Signatures for Large-scale Visual Localization. - Bei Li, Hui Liu, Ziyang Wang, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li:
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation. - Fanny Dufossé, Christoph Dürr, Noël Nadal, Denis Trystram, Óscar C. Vásquez:
Scheduling with a processing time oracle. - Olaf Ambrozkiewicz, Benedikt Kriegesmann:
Simultaneous topology and fastener layout optimization of assemblies considering joint failure. - Benoît Piranda, Julien Bourgeois:
Datom: A Deformable modular robot for building self-reconfigurable programmable matter. - Yang Zhao, Xiaohan Chen, Yue Wang, Chaojian Li, Haoran You, Yonggan Fu, Yuan Xie, Zhangyang Wang, Yingyan Lin:
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. - Jens Rieken, Markus Maurer:
A LiDAR-based real-time capable 3D Perception System for Automated Driving in Urban Domains. - Jorge Peña Queralta, Jenni Raitoharju, Tuan Nguyen Gia, Nikolaos Passalis, Tomi Westerlund:
AutoSOS: Towards Multi-UAV Systems Supporting Maritime Search and Rescue with Lightweight AI and Edge Computing. - Mingjie Wei, Fang Shi, Hengxu Zhang, Weijiang Chen, Bingyin Xu:
Detection and Feeder Identification of the High Impedance Fault at Distribution Networks Based on Synchronous Waveform Distortions. - Wojciech Dudzik, Damian Kosowski:
Kunster - AR Art Video Maker - Real time video neural style transfer on mobile devices. - Juliette Millet, Ewan Dunbar:
The Perceptimatic English Benchmark for Speech Perception Models. - Frank Röder, Manfred Eppe, Phuong D. H. Nguyen, Stefan Wermter:
Curious Hierarchical Actor-Critic Reinforcement Learning. - Isaac Harris:
Dirichlet spectral-Galerkin approximation method for the simply supported vibrating plate eigenvalues. - Shaull Almagor, Udi Boker, Piotr Hofman, Patrick Totzke:
Parametrized Universality Problems for One-Counter Nets. - Dmitry Nikolaev, Ofir Arviv, Taelin Karidi, Neta Kenneth, Veronika Mitnik, Lilja Maria Saeboe, Omri Abend:
Fine-Grained Analysis of Cross-Linguistic Syntactic Divergences. - Dominique Mercier, Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed:
Interpreting Deep Models through the Lens of Data. - Zhenyu Zhao, Yumin Zhang, Totte Harinen, Mike Yung:
Feature Selection Methods for Uplift Modeling. - Zhao Chen, Yang Liu, Hao Sun:
Deep learning of physical laws from scarce data. - Behzad Salami, Erhan Baturay Onural, Ismail Emir Yuksel, Fahrettin Koc, Oguz Ergin, Adrián Cristal Kestelman, Osman S. Unsal, Hamid Sarbazi-Azad, Onur Mutlu:
An Experimental Study of Reduced-Voltage Operation in Modern FPGAs for Neural Network Acceleration. - Rasmus Kjær Høier, Christopher Zach:
Lifted Regression/Reconstruction Networks. - Tomer Cohen, Lior Finkelman, Gal Grimberg, Gadi Shenhar, Ofer Strichman, Yonatan Strichman, Stav Yeger:
A combination of 'pooling' with a prediction model can reduce by 73% the number of COVID-19 (Corona-virus) tests. - Christopher Brix, Parnia Bahar, Hermann Ney:
Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture. - Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Jing Liu, Haiyan Wu, Yuan Xie, Yanyun Qu, Lizhuang Ma, Ziling Huang, Qili Deng, Ju-Chin Chao, Tsung-Shan Yang, Peng-Wen Chen, Po-Min Hsu, Tzu-Yi Liao, Chung-En Sun, Pei-Yuan Wu, Jeonghyeok Do, Jongmin Park, Munchurl Kim, Kareem M. Metwaly, Xuelu Li, Tiantong Guo, Vishal Monga, Mingzhao Yu, Venkateswararao Cherukuri, Shiue-Yuan Chuang, Tsung-Nan Lin, David Lee, Jerome Chang, Zhan-Han Wang, Yu-Bang Chang, Chang-Hong Lin, Yu Dong, Hongyu Zhou, Xiangzhen Kong, Sourya Dipta Das, Saikat Dutta, Xuan Zhao, Bing Ouyang, Dennis Estrada, Meiqi Wang, Tianqi Su, Siyi Chen, Bangyong Sun, Vincent Jacob Whannou de Dravo, Zhe Yu, Pratik Narang, Aryan Mehra, Navaneeth Raghunath, Murari Mandal:
NTIRE 2020 Challenge on NonHomogeneous Dehazing. - Wanling Gao, Fei Tang, Jianfeng Zhan, Xu Wen, Lei Wang, Zheng Cao, Chuanxin Lan, Chunjie Luo, Zihan Jiang:
AIBench: Scenario-distilling AI Benchmarking. - Chi-Hua Chen:
ExpDNN: Explainable Deep Neural Network. - Andrey Ivanov, Alexander Osinsky, Dmitry Lakontsev, Dmitry Yarotsky:
High Performance Interference Suppression in Multi-User Massive MIMO Detector. - Alexey Milovanov:
Predictions and algorithmic statistics for infinite sequence. - Lu Chen, Yunjun Gao, Xuan Song, Zheng Li, Xiaoye Miao, Christian S. Jensen:
Indexing Metric Spaces for Exact Similarity Search. - Arpita Biswas, Suvam Mukherjee:
Ensuring Fairness under Prior Probability Shifts. - Jianxin Chang, Chen Gao, Xiangnan He, Yong Li, Depeng Jin:
Bundle Recommendation with Graph Convolutional Networks. - Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman:
Brain-like approaches to unsupervised learning of hidden representations - a comparative study. - Ao Liu:
Anonymized GCN: A Novel Robust Graph Embedding Method via Hiding Node Position in Noise. - Bo Huang:
Algorithmic Averaging for Studying Periodic Orbits of Planar Differential Systems. - Gehui Shen, Song Zhang, Xiang Chen, Zhi-Hong Deng:
Generative Feature Replay with Orthogonal Weight Modification for Continual Learning. - Xiaoxue Chen, Lianwen Jin, Yuanzhi Zhu, Canjie Luo, Tianwei Wang:
Text Recognition in the Wild: A Survey. - Mark Giesbrecht, Armin Jamshidpey, Éric Schost:
Subquadratic-Time Algorithms for Normal Bases. - Dawid Przyczyna, Maciej Suchecki, Andrew Adamatzky, Konrad Szacilowski:
Computing with bricks and mortar: Classification of waveforms with a doped concrete blocks. - Lena Maier-Hein, Martin Wagner, Tobias Roß, Annika Reinke, Sebastian Bodenstedt, Peter M. Full, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Anna Kisilenko, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Minu Tizabi, Matthias Eisenmann, Tim J. Adler, Janek Gröhl, Melanie Schellenberg, Silvia Seidlitz, T. Y. Emmy Lai, Veith Roethlingshoefer, Fabian Both, Sebastian Bittel, Marc Mengler, Martin Apitz, Stefanie Speidel, Hannes Götz Kenngott, Beat P. Müller-Stich:
Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room. - Rhoslyn Roebuck Williams, Xan Varcoe, Becca Rose Glowacki, Ella M. Gale, Alexander Jamieson-Binnie, David R. Glowacki:
Subtle Sensing: Detecting Differences in the Flexibility of Virtually Simulated Molecular Objects. - Maxime Ambard:
Sunny Pointer: Designing a mouse pointer for people with peripheral vision loss. - Carlo Cenedese, Giuseppe Belgioioso, Sergio Grammatico, Ming Cao:
An asynchronous distributed and scalable generalized Nash equilibrium seeking algorithm for strongly monotone games. - Dongyub Lee, Myeongcheol Shin, Taesun Whang, Seungwoo Cho, Byeongil Ko, Daniel Lee, EungGyun Kim, Jaechoon Jo:
Reference and Document Aware Semantic Evaluation Methods for Korean Language Summarization. - Junpei Zhou, Ciprian Chelba, Yuezhang Li:
Practical Perspectives on Quality Estimation for Machine Translation. - Leon Derczynski, Rebekah Baglini, Morten H. Christiansen, Manuel R. Ciosici, Jacob Aarup Dalsgaard, Riccardo Fusaroli, Peter Juel Henrichsen, Rasmus Hvingelby, Andreas Kirkedal, Alex Speed Kjeldsen, Claus Ladefoged, Finn Årup Nielsen, Malte Lau Petersen, Jonathan Hvithamar Rystrøm, Daniel Varab:
The Danish Gigaword Project. - Jesse Beisegel, Ekkehard Köhler, Robert Scheffler, Martin Strehler:
Linear Time LexDFS on Chordal Graphs. - Shrestha Ghosh, Simon Razniewski, Gerhard Weikum:
CounQER: A System for Discovering and Linking Count Information in Knowledge Bases. - Noemi Mauro, Liliana Ardissono, Maurizio Lucenteforte:
Faceted Search of Heterogeneous Geographic Information for Dynamic Map Projection. - Aakash Gautam, Deborah G. Tatar:
p for political: Participation Without Agency Is Not Enough. - Patrik Keller, Martin Florian, Rainer Böhme:
Collaborative Deanonymization. - Devamanyu Hazarika, Roger Zimmermann, Soujanya Poria:
MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis. - Alessandro Balestrucci, Rocco De Nicola:
Credulous Users and Fake News: a Real Case Study on the Propagation in Twitter. - Christoph Hertrich, Christian Weiß, Heiner Ackermann, Sandy Heydrich, Sven O. Krumke:
Online Algorithms to Schedule a Proportionate Flexible Flow Shop of Batching Machines. - Michael Blondin, Javier Esparza, Martin Helfrich, Antonín Kucera, Philipp J. Meyer:
Checking Qualitative Liveness Properties of Replicated Systems with Stochastic Scheduling. - Tengyu Xu, Zhe Wang, Yingbin Liang:
Non-asymptotic Convergence Analysis of Two Time-scale (Natural) Actor-Critic Algorithms. - Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte:
NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images. - Shoeb Siddiqui, Sujit Gujar:
QuickSync: A Quickly Synchronizing PoS-Based Blockchain Protocol. - Xiangxiang Chu, Bo Zhang, Xudong Li:
Noisy Differentiable Architecture Search. - Zhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo:
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation. - Tobias Danczul, Joachim Schöberl:
A Reduced Basis Method For Fractional Diffusion Operators II. - Fernando Sánchez Hernández, Juan Carlos Ballesteros Herráez, Mohamed S. Kraiem, Mercedes Sánchez Barba, María N. Moreno García:
Predictive Modeling of ICU Healthcare-Associated Infections from Imbalanced Data. Using Ensembles and a Clustering-Based Undersampling Approach. - Petra Berenbrink, David Hammer, Dominik Kaaser, Ulrich Meyer, Manuel Penschuck, Hung Tran:
Simulating Population Protocols in Sub-Constant Time per Interaction. - Ran Ilan Ber, Tom Haramaty:
Domain Adaptation in Highly Imbalanced and Overlapping Datasets. - Miroslav Olsák:
GeoLogic - Graphical interactive theorem prover for Euclidean geometry. - Inkit Padhi, Pierre L. Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das:
Learning Implicit Text Generation via Feature Matching. - Azza E. A. Eltraify, Sanaa Hamid Mohamed, Jaafar M. H. Elmirghani:
VM placement over WDM-TDM AWGR PON Based Data Centre Architecture. - Trevor Cohen, Serguei Pakhomov:
A Tale of Two Perplexities: Sensitivity of Neural Language Models to Lexical Retrieval Deficits in Dementia of the Alzheimer's Type. - Khemraj Shukla, Patricio Clark Di Leoni, James L. Blackshire, Daniel Sparkman, George Em Karniadakis:
Physics-informed neural network for ultrasound nondestructive quantification of surface breaking cracks. - Kai Jia, Martin C. Rinard:
Efficient Exact Verification of Binarized Neural Networks. - Clauson Carvalho da Silva, Christian Lessig, Boyko A. Dodov, Henk Dijkstra, Themis Sapsis:
A Local Spectral Exterior Calculus for the Sphere and Application to the Shallow Water Equations. - Jinfeng Li, Xinyi Guo:
COVID-19 Contact-tracing Apps: a Survey on the Global Deployment and Challenges. - Charles D. Murray, Tobias Weinzierl:
Delayed approximate matrix assembly in multigrid with dynamic precisions. - Mohammad Samin Yasar, Homa Alemzadeh:
Real-Time Context-aware Detection of Unsafe Events in Robot-Assisted Surgery. - Marcos Cramer, Meghna Bhadra:
Technical Report of "Deductive Joint Support for Rational Unrestricted Rebuttal". - Wei Cao, Alex Dytso, Michael Fauß, H. Vincent Poor, Gang Feng:
Nonparametric Estimation of the Fisher Information and Its Applications. - Thanh Van Nguyen, Nikhil Rao, Karthik Subbian:
Learning Robust Models for e-Commerce Product Search. - Antonio José G. Busson, Sérgio Colcher, Ruy Luiz Milidiú, Bruno Pereira Dias, André Bulcão:
Seismic Shot Gather Noise Localization Using a Multi-Scale Feature-Fusion-Based Neural Network. - Martín Santiago Moroni, Pedro Sánchez Terraf:
The Zhou Ordinal of Labelled Markov Processes over Separable Spaces. - Sreejita Ghosh, Peter Tiño, Kerstin Bunte:
Visualisation and knowledge discovery from interpretable models. - Tommaso Soru, Edgard Marx, André Valdestilhas, Diego Moussallem, Gustavo Publio, Muhammad Saleem:
Where is Linked Data in Question Answering over Linked Data? - Chaojun Wang, Rico Sennrich:
On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation. - Abraham Peedikayil Kuruvila, Shamik Kundu, Kanad Basu:
Defending Hardware-based Malware Detectors against Adversarial Attacks. - Kevin Fauvel, Élisa Fromont, Véronique Masson, Philippe Faverdin, Alexandre Termier:
Local Cascade Ensemble for Multivariate Data Classification. - Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra:
Plan2Vec: Unsupervised Representation Learning by Latent Plans. - Deepak Edakkattil Gopinath, Brenna D. Argall:
Active Intent Disambiguation for Shared Control Robots. - Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy:
Machine Learning on Graphs: A Model and Comprehensive Taxonomy. - Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh:
Learning to Segment Actions from Observation and Narration. - Vishaal Udandarao, Abhishek Maiti, Deepak Srivatsav, Suryatej Reddy Vyalla, Yifang Yin, Rajiv Ratn Shah:
COBRA: Contrastive Bi-Modal Representation Algorithm. - Richard Sahala Hartanto, Ryoichi Ishikawa, Menandro Roxas, Takeshi Oishi:
A Hand Motion-guided Articulation and Segmentation Estimation. - Jennifer Hu, Jon Gauthier, Peng Qian, Ethan Wilcox, Roger P. Levy:
A Systematic Assessment of Syntactic Generalization in Neural Language Models. - Erfan Ghadery, Marie-Francine Moens:
LIIR at SemEval-2020 Task 12: A Cross-Lingual Augmentation Approach for Multilingual Offensive Language Identification. - Mathilde Bateson, Hoel Kervadec, Jose Dolz, Herve Lombaert, Ismail Ben Ayed:
Source-Relaxed Domain Adaptation for Image Segmentation. - Takato Otsuzuki, Hideaki Hayashi, Yuchen Zheng, Seiichi Uchida:
Regularized Pooling. - Kiru Park, Timothy Patten, Markus Vincze:
Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images. - Sami Khairy, Prasanna Balaprakash, Lin X. Cai:
A Gradient-Aware Search Algorithm for Constrained Markov Decision Processes. - Yang Gao, Wei Zhao, Steffen Eger:
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization. - Chao Huang, Shichao Xu, Zhilu Wang, Shuyue Lan, Wenchao Li, Qi Zhu:
Opportunistic Intermittent Control with Safety Guarantees for Autonomous Systems. - Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng:
Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture. - Ahmed Y. Al Hammadi, Sami Muhaidat, Paschalis C. Sofotasios, Mahmoud Al-Qutayri, Hany Elgala:
Non-Orthogonal Multiple Access for Hybrid VLC-RF Networks with Imperfect Channel State Information. - Mine Sarac, Massimiliano Solazzi, Edoardo Sotgiu, Massimo Bergamasco, Antonio Frisoli:
Design and Kinematic Optimization of a Novel Underactuated Robotic Hand Exoskeleton. - Manit Zaveri, Shivam Kalra, Morteza Babaie, Sultaan Shah, Savvas Damaskinos, Hany Kashani, Hamid R. Tizhoosh:
Recognizing Magnification Levels in Microscopic Snapshots. - David A. Basin, Sasa Radomirovic, Lara Schmid:
Dispute Resolution in Voting. - Esin Durmus, He He, Mona T. Diab:
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization. - Peter Tho Pesch, Romain Bouqueau, Mario Montagud:
White Paper: Recommendations for immersive accessibility services. - Cecilia Romaro, Fernando Araujo Najman, William W. Lytton, Antonio Carlos Roque, Salvador Dura-Bernal:
NetPyNE implementation and rescaling of the Potjans-Diesmanncortical microcircuit model. - Xin Chen, Na Li:
Leveraging Two-Stage Adaptive Robust Optimization for Power Flexibility Aggregation. - Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler:
Planning from Images with Deep Latent Gaussian Process Dynamics. - Ramiro Camino, Christian A. Hammerschmidt, Radu State:
Minority Class Oversampling for Tabular Data with Deep Generative Models. - Tiago Pimentel, Brian Roark, Ryan Cotterell:
Phonotactic Complexity and its Trade-offs. - Yang Li, Jiacong He, Xin Zhou, Yuan Zhang, Jason Baldridge:
Mapping Natural Language Instructions to Mobile UI Action Sequences. - Guodong Rong, Byung Hyun Shin, Hadi Tabatabaee, Qiang Lu, Steve Lemke, Martins Mozeiko, Eric Boise, Geehoon Uhm, Mark Gerow, Shalin Mehta, Eugene Agafonov, Tae Hyung Kim, Eric Sterner, Keunhae Ushiroda, Michael Reyes, Dmitry Zelenkovsky, Seonman Kim:
LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving. - Steven I. Reeves, Dongwook Lee, Anurag Singh, Kunal Verma:
A Gaussian Process Upsampling Model for Improvements in Optical Character Recognition. - Arianna Yuan, Yang Li:
Modeling Human Visual Search Performance on Realistic Webpages Using Analytical and Deep Learning Methods. - Juan Pablo Borthagaray, Dmitriy Leykekhman, Ricardo H. Nochetto:
Local energy estimates for the fractional Laplacian. - Narjes Hachani Gharbi:
Détermination Automatique des Fonctions d'Appartenance et Interrogation Flexible et Coopérative des Bases de Données. - Xinshao Wang, Yang Hua, Elyor Kodirov, Neil Martin Robertson:
ProSelfLC: Progressive Self Label Correction for Target Revising in Label Noise. - Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan:
Reinforcement Learning with Feedback Graphs. - Chenyou Fan, Ping Liu:
Federated Generative Adversarial Learning. - Murat Arcak, Nuno C. Martins:
Dissipativity Tools for Convergence to Nash Equilibria in Population Games. - Neeldhara Misra, Harshil Mittal:
Imbalance Parameterized by Twin Cover Revisited. - Aidean Sharghi, Niels da Vitoria Lobo, Mubarak Shah:
Text Synopsis Generation for Egocentric Videos. - Daniel T. Braithwaite, Matthew O'Connor, W. Bastiaan Kleijn:
Variance Constrained Autoencoding. - Damian M. Lyons, James Finocchiaro, Michael Novitzky, Christopher Korpela:
A Monte Carlo Approach to Closing the Reality Gap. - Younhun Kim, Elchanan Mossel, Govind Ramnarayan, Paxton Turner:
Efficient Reconstruction of Stochastic Pedigrees. - Martina Toshevska, Frosina Stojanovska, Jovan Kalajdjieski:
Comparative Analysis of Word Embeddings for Capturing Word Similarities. - Damian M. Lyons, Saba B. Zahra:
Using Taint Analysis and Reinforcement Learning (TARL) to Repair Autonomous Robot Software. - Chenxi Zhao, Junyu Liu, Min Sheng, Yanpeng Dai:
Efficient Betweenness Based Content Caching and Delivery Strategy in Wireless Networks. - Youngduck Choi, Yoonho Na, Youngjik Yoon, Jonghun Shin, Chan Bae, Hongseok Suh, Byungsoo Kim, Jaewe Heo:
Choose Your Own Question: Encouraging Self-Personalization in Learning Path Construction. - Xiang Li, Lin Zhang, Yau Pun Chen, Yu-Wing Tai, Chi-Keung Tang:
One-Shot Object Detection without Fine-Tuning. - Eugene Bagdasaryan, Vitaly Shmatikov:
Blind Backdoors in Deep Learning Models. - Kwun Yiu Cadmus To, James Ju Heon Lee, Chanyeol Yoo, Stuart Anstee, Robert Fitch:
Streamline-Based Control of Underwater Gliders in 3D Environments. - Jie Li, Rongrong Ji, Hong Liu, Jianzhuang Liu, Bineng Zhong, Cheng Deng, Qi Tian:
Projection & Probability-Driven Black-Box Attack. - Stefan H. Kiss, Kwun Yiu Cadmus To, Chanyeol Yoo, Robert Fitch, Alen Alempijevic:
Minimally Invasive Social Navigation. - Ali Hadi Zadeh, Andreas Moshovos:
GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference. - Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar:
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving. - Mingshuang Luo, Shuang Yang, Xilin Chen, Zitao Liu, Shiguang Shan:
Synchronous Bidirectional Learning for Multilingual Lip Reading. - Rishi Sonthalia, Anna C. Gilbert:
Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding. - Xing Wu, Yibing Liu, Xiangyang Zhou, Dianhai Yu:
Distilling Knowledge from Pre-trained Language Models via Text Smoothing. - Rishi Sonthalia, Anna C. Gilbert:
Project and Forget: Solving Large-Scale Metric Constrained Problems. - Xiaotao Jia, Jianlei Yang, Runze Liu, Xueyan Wang, Sorin Dan Cotofana, Weisheng Zhao:
Efficient Computation Reduction in Bayesian Neural Networks Through Feature Decomposition and Memorization. - Yujiao Shi, Xin Yu, Dylan Campbell, Hongdong Li:
Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching. - Jingke Wang, Yue Wang, Dongkun Zhang, Yezhou Yang, Rong Xiong:
Learning hierarchical behavior and motion planning for autonomous driving. - Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu:
Point Cloud Completion by Skip-attention Network with Hierarchical Folding. - Marcus Nolte, Richard Schubert, Cordula Reisch, Markus Maurer:
Sensitivity Analysis for Vehicle Dynamics Models - An Approach to Model Quality Assessment for Automated Vehicles. - Ivan De Oliveira Nunes, Sashidhar Jakkamsetti, Norrathep Rattanavipanon, Gene Tsudik:
On the TOCTOU Problem in Remote Attestation. - Cristina Palmero, Abhishek Sharma, Karsten Behrendt, Kapil Krishnakumar, Oleg V. Komogortsev, Sachin S. Talathi:
OpenEDS2020: Open Eyes Dataset. - Junyu Liu, Min Sheng, Ruiling Lyu, Yan Shi, Jiandong Li:
Access Points in the Air: Modeling and Optimization of Fixed-Wing UAV Network. - Chong You, Chun-Guang Li, Daniel P. Robinson, René Vidal:
Is an Affine Constraint Needed for Affine Subspace Clustering? - Lenz Belzner, Martin Wirsing:
Synthesizing Safe Policies under Probabilistic Constraints with Reinforcement Learning and Bayesian Model Checking. - Esther Bischoff, Fabian Meyer, Jairo Inga, Sören Hohmann:
Multi-Robot Task Allocation and Scheduling Considering Cooperative Tasks and Precedence Constraints. - Bertie Vidgen, Austin Botelho, David A. Broniatowski, Ella Guest, Matthew Hall, Helen Z. Margetts, Rebekah Tromble, Zeerak Waseem, Scott Hale:
Detecting East Asian Prejudice on Social Media. - Vajira Thambawita, Debesh Jha, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen, Pål Halvorsen, Michael A. Riegler:
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification. - Ziqi Yang, Bin Shao, Bohan Xuan, Ee-Chien Chang, Fan Zhang:
Defending Model Inversion and Membership Inference Attacks via Prediction Purification. - Haocheng Feng, Zhibin Hong, Haixiao Yue, Yang Chen, Keyao Wang, Junyu Han, Jingtuo Liu, Errui Ding:
Learning Generalized Spoof Cues for Face Anti-spoofing. - Puhai Yang, Heyan Huang, Xianling Mao:
Context-Sensitive Generation Network for Handing Unknown Slot Values in Dialogue State Tracking. - Meng Zhang, Xin Jiang, Yang Liu, Qun Liu:
Learning to Detect Unacceptable Machine Translations for Downstream Tasks. - Hannah M. Dee, Jordi Freixenet, Xavier Cufí, Eduard Muntaner-Perich, Valentina Poggioni, Marius Marian, Alfredo Milani:
Encouraging early mastery of computational concepts through play. - Shuo Sun, Kevin Duh:
Modeling Document Interactions for Learning to Rank with Regularized Self-Attention. - Bing Yao:
Graphic Lattices and Matrix Lattices Of Topological Coding. - Mahmoud Shirdast Bahnamiri, Nima Karbasizadeh, Ali Ahmadi Dastjerdi, Niranjan Saikumar, S. Hassan HosseinNia:
Tuning of CgLp based reset controllers: Application in precision positioning systems. - Hao Liu, Yan Xu, Jiasheng Wang, Ju Jing, Chang Liu, Jason T. L. Wang, Haimin Wang:
Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network. - Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
Relatedness Measures to Aid the Transfer of Building Blocks among Multiple Tasks. - Yin Tang, Qi Teng, Lei Zhang, Fuhong Min, Jun He:
Efficient convolutional neural networks with smaller filters for human activity recognition using wearable sensors. - Amer Mesanovic, Ulrich Münz, Rolf Findeisen:
Controller tuning in power systems using singular value optimization. - Mingjie Jiang, Xinqi Fan:
RetinaMask: A Face Mask detector. - Federico Zadra, Alessandro Bravetti, Marcello Seri:
Geometric numerical integration of Lìenard systems via a contact Hamiltonian approach. - Zeming Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu:
Towards Conversational Recommendation over Multi-Type Dialogs. - Ioannis A. Sarafis, Christos Diou, Vasileios Papapanagiotou, Leonidas Alagialoglou, Anastasios Delopoulos:
Inferring the Spatial Distribution of Physical Activity in Children Population from Characteristics of the Environment. - Zhaoyi Wan, Jielei Zhang, Liang Zhang, Jiebo Luo, Cong Yao:
On Vocabulary Reliance in Scene Text Recognition. - Tristan Millington, Mahesan Niranjan:
Construction of Minimum Spanning Trees from Financial Returns using Rank Correlation. - Simon Abelard:
On the complexity of computing integral bases of function fields. - Mohammad Khosravi, Varsha Behrunani, Roy S. Smith, Alisa Rupenyan, John Lygeros:
Cascade Control: Data-Driven Tuning Approach Based on Bayesian Optimization. - Dan Su, Yan Xu, Tiezheng Yu, Farhad Bin Siddique, Elham J. Barezi, Pascale Fung:
CAiRE-COVID: A Question Answering and Multi-Document Summarization System for COVID-19 Research. - Tomohiro Koana, Christian Komusiewicz, Frank Sommer:
Exploiting $\mathbf{c}$-Closure in Kernelization Algorithms for Graph Problems. - Rémi Dromnelle, Benoît Girard, Erwan Renaudo, Raja Chatila, Mehdi Khamassi:
Coping with the variability in humans reward during simulated human-robot interactions through the coordination of multiple learning strategies. - Mohammad Rahimzadeh, Abolfazl Attar:
Introduction of a new Dataset and Method for Detecting and Counting the Pistachios based on Deep Learning. - Reinhard Heckel, Mahdi Soltanolkotabi:
Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation. - Raheam Al-Saphory:
Sufficient Conditions for Observability in Electrocardiography Problem. - Karthik Gopalakrishnan, Fathi M. Salem:
Sentiment Analysis Using Simplified Long Short-term Memory Recurrent Neural Networks. - Ye Wang, Chris Manzie:
Robust distributed model predictive control of linear systems: analysis and synthesis. - Yutian Tang, Hao Zhou, Zhou Xu, Xiapu Luo, Yan Cai, Tao Zhang:
Feature Location Benchmark for Decomposing and Reusing Android Apps. - Abderrahmane Maaradji, Marlon Dumas, Marcello La Rosa, Alireza Ostovar:
Detecting sudden and gradual drifts in business processes from execution traces. - Krishnendu Chatterjee, Joost-Pieter Katoen, Maximilian Weininger, Tobias Winkler:
Stochastic Games with Lexicographic Reachability-Safety Objectives. - Jan-Hendrik Lorenz, Florian Wörz:
On the Effect of Learned Clauses on Stochastic Local Search. - Bhishma Dedhia, Sharayu Moharir:
You Snooze, You Lose: Minimizing Channel-Aware Age of Information. - Mohammad Abouei Mehrizi, Gianlorenzo D'Angelo:
Multi-Winner Election Control via Social Influence. - Stefan Hoffmann:
Computational Complexity of Synchronization under Regular Commutative Constraints. - Chenhui Lv, Qian Lu, Xiang Zhang:
Literature Triage on Genomic Variation Publications by Knowledge-enhanced Multi-channel CNN. - Christian Neurohr, Lukas Westhofen, Tabea Henning, Thies de Graaff, Eike Möhlmann, Eckard Böde:
Fundamental Considerations around Scenario-Based Testing for Automated Driving. - Michael Smurthwaite, Maumita Bhattacharya:
Convergence of IT and SCADA: Associated Security Threats and Vulnerabilities. - Lars Hertel, Julian Collado, Peter J. Sadowski, Jordan Ott, Pierre Baldi:
Sherpa: Robust Hyperparameter Optimization for Machine Learning. - Heidi Wilcox, Maumita Bhattacharya:
A Human Dimension of Hacking: Social Engineering through Social Media. - Ben Wooding, Vahid Vahidinasab, Sadegh Soudjani:
Formal Controller Synthesis for Frequency Regulation Utilising Electric Vehicles. - Alex Bigelow, Katy Williams, Katherine E. Isaacs:
Guidelines For Pursuing and Revealing Data Abstractions. - Pengyao Zhao, Quanli Liu, Wei Wang, Qiang Guo:
TSDM: Tracking by SiamRPN++ with a Depth-refiner and a Mask-generator. - Ties van Rozendaal, Guillaume Sautière, Taco S. Cohen:
Lossy Compression with Distortion Constrained Optimization. - Indrajit Kurmi, David C. Schedl, Oliver Bimber:
Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization. - Nils Wilde, Dana Kulic, Stephen L. Smith:
Active Preference Learning using Maximum Regret. - Srinivasan Arunachalam, Supartha Podder:
Communication memento: Memoryless communication complexity. - Kaixin Xu, Ziyuan Zhao, Jiapan Gu, Zeng Zeng, Chan Wan Ying, Lim Kheng Choon, Thng Choon Hua, Pierce K. H. Chow:
Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma. - Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei, Jessica Hoffmann, Mahdi Jalili, Adrian Weller:
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks. - Mazen Alamir:
On the use of Data-Driven Cost Function Identification in Parametrized NMPC. - Ahmed Aboudonia, Annika Eichler, John Lygeros:
Distributed Model Predictive Control with Asymmetric Adaptive Terminal Sets for the Regulation of Large-scale Systems. - Lennart Reiher, Bastian Lampe, Lutz Eckstein:
A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View. - Yifan Qian, Paul Expert, Pietro Panzarasa, Mauricio Barahona:
Geometric graphs from data to aid classification tasks with graph convolutional networks. - Liu Xinshun, He Xin, Mao Hui, Liu Jing, Lai Weizhong, Ye Qingwen:
Automatic Cross-Domain Transfer Learning for Linear Regression. - Riyadh Baghdadi, Abdelkader Nadir Debbagh, Kamel Abdous, Fatima-Zohra Benhamida, Alex Renda, Jonathan Elliott Frankle, Michael Carbin, Saman P. Amarasinghe:
TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning. - Stefano Cereda, Gianluca Palermo, Paolo Cremonesi, Stefano Doni:
A Collaborative Filtering Approach for the Automatic Tuning of Compiler Optimisations. - Joshua Porter, Aleks Y. M. Ontman:
Importing Relationships into a Running Graph Database Using Parallel Processing. - Jianbin Fang, Chun Huang, Tao Tang, Zheng Wang:
Parallel Programming Models for Heterogeneous Many-Cores : A Survey. - Pham Dinh Thanh, Huynh Thi Thanh Binh, Do Dinh Dac, Nguyen Binh Long, Le Minh Hai Phong:
A Heuristic Based on Randomized Greedy Algorithms for the Clustered Shortest-Path Tree Problem. - Inês Pinto Gouveia, Marcus Völp, Paulo Jorge Esteves Veríssimo:
Behind the Last Line of Defense - Surviving SoC Faults and Intrusions. - Qiang Fan, Jianan Bai, Hongxia Zhang, Yang Yi, Lingjia Liu:
Delay-aware Resource Allocation in Fog-assisted IoT Networks Through Reinforcement Learning. - Stefano Corda, Bram Veenboer, Ahsan Javed Awan, Akash Kumar, Roel Jordans, Henk Corporaal:
Near Memory Acceleration on High Resolution Radio Astronomy Imaging. - Roberto Gonçalves Pacheco, Rodrigo S. Couto:
Inference Time Optimization Using BranchyNet Partitioning. - Yuki Koyama, Issei Sato, Masataka Goto:
Sequential Gallery for Interactive Visual Design Optimization. - Wei Wang, Zhihui Wang, Yuankai Xiang, Jing Sun, Haojie Li, Fuming Sun, Zhengming Ding:
Sparsely-Labeled Source Assisted Domain Adaptation. - Da Yin, Tao Meng, Kai-Wei Chang:
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics. - Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yun Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar:
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results. - Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh:
Beyond Accuracy: Behavioral Testing of NLP models with CheckList. - Cheul Young Park, Narae Cha, Soowon Kang, Auk Kim, Ahsan H. Khandoker, Leontios J. Hadjileontiadis, Alice Oh, Yong Jeong, Uichin Lee:
K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations. - Paolo Liberatore:
The ghosts of forgotten things: A study on size after forgetting. - Mohamed E. Karar, A. M. Al-Masaad, Omar Reyad:
GASDUINO-Wireless Air Quality Monitoring System Using Internet of Things. - Yoojin Choi, Jihwan P. Choi, Mostafa El-Khamy, Jungwon Lee:
Data-Free Network Quantization With Adversarial Knowledge Distillation. - Yixiao Yang:
Corrigendum to Improve Language Modelling for Code Completion through Learning General Token Repetition of Source Code. - Haijin Zeng, Xiaozhen Xie, Jifeng Ning:
Hyperspectral Image Restoration via Global Total Variation Regularized Local nonconvex Low-Rank matrix Approximation. - Michal Wrona:
On The Relational Width of First-Order Expansions of Finitely Bounded Homogeneous Binary Cores with Bounded Strict Width. - Konstantinos Meichanetzidis, Stefano Gogioso, Giovanni de Felice, Nicolò Chiappori, Alexis Toumi, Bob Coecke:
Quantum Natural Language Processing on Near-Term Quantum Computers. 213-229 - Tapas Si:
Swarm Programming Using Moth-Flame Optimization and Whale Optimization Algorithms. - Vasco Lopes, Paulo A. P. Fazendeiro:
A Hybrid Method for Training Convolutional Neural Networks. - Saeed Nosratabadi, Imre Felde, Károly Széll, Sina Ardabili, Bertalan Beszedes, Amir Mosavi:
Hybrid Machine Learning Models for Crop Yield Prediction. - Leticia Decker, Daniel F. Leite, Fabio Viola, Daniele Bonacorsi:
Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers. - Ivars Dzalbs, Tatiana Kalganova:
Hybrid 2-stage Imperialist Competitive Algorithm with Ant Colony Optimization for Solving Multi-Depot Vehicle Routing Problem. - Mohamed E. Karar, M. F. Al-Rasheed, A. F. Al-Rasheed, Omar Reyad:
IoT and Neural Network-Based Water Pumping Control System For Smart Irrigation. - Jens Kosiol, Daniel Strüber, Gabriele Taentzer, Steffen Zschaler:
Graph Consistency as a Graduated Property: Consistency-Sustaining and -Improving Graph Transformations. - Visahl Samson David Selvam:
Human Error in IT Security. - Nathan Wycoff, Prasanna Balaprakash, Fangfang Xia:
Towards On-Chip Bayesian Neuromorphic Learning. - Gongjin Lan, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben:
Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm. - Ruthvik Vaila, John N. Chiasson, Vishal Saxena:
Continuous Learning in a Single-Incremental-Task Scenario with Spike Features. - Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier:
Equilibrium Propagation with Continual Weight Updates. - Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier:
Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation. - James E. Smith:
A Neuromorphic Paradigm for Online Unsupervised Clustering. - Maryam Parsa, Catherine D. Schuman, Prasanna Date, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy:
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. - Yoji Yamato:
Evaluation of Automatic GPU and FPGA Offloading for Function Blocks of Applications. - Jay DeYoung, Eric Lehman, Benjamin E. Nye, Iain James Marshall, Byron C. Wallace:
Evidence Inference 2.0: More Data, Better Models. - Javad Amiryan, Mansour Jamzad:
Adaptive Motion Planning with Artificial Potential Fields Using a Prior Path. - Gal Oren, Leonid Barenboim:
Distributed K-Backup-Placement and Applications to Virtual Memory in Heterogeneous Networks. - Max Bain, Arsha Nagrani, Andrew Brown, Andrew Zisserman:
Condensed Movies: Story Based Retrieval with Contextual Embeddings. - Ramy Mounir, Redwan Alqasemi, Rajiv V. Dubey:
BCI-Controlled Hands-Free Wheelchair Navigation with Obstacle Avoidance. - Y. Cooper:
The critical locus of overparameterized neural networks. - Anirbit Mukherjee, Ramchandran Muthukumar:
A Study of Neural Training with Non-Gradient and Noise Assisted Gradient Methods. - Haonan Chang, Zhuo Xu, Masayoshi Tomizuka:
Cascade Attribute Network: Decomposing Reinforcement Learning Control Policies using Hierarchical Neural Networks. - Ryan Chard, Yadu N. Babuji, Zhuozhao Li, Tyler J. Skluzacek, Anna Woodard, Ben Blaiszik, Ian T. Foster, Kyle Chard:
funcX: A Federated Function Serving Fabric for Science. - Mengmeng Ge, Jin-Hee Cho, Dong Seong Kim, Gaurav Dixit, Ing-Ray Chen:
Proactive Defense for Internet-of-Things: Integrating Moving Target Defense with Cyberdeception. - Francesco Restuccia, Salvatore D'Oro, Amani Al-Shawabka, Bruno Costa Rendon, Stratis Ioannidis, Tommaso Melodia:
DeepFIR: Addressing the Wireless Channel Action in Physical-Layer Deep Learning. - Chao Yang, Yucai Zhu:
Multi-time scale identification for multi-energy system. - Keyon Vafa, Suresh Naidu, David M. Blei:
Text-Based Ideal Points. - Justine Zhang, Cristian Danescu-Niculescu-Mizil:
Balancing Objectives in Counseling Conversations: Advancing Forwards or Looking Backwards. - Jonathan P. Chang, Caleb Chiam, Liye Fu, Andrew Z. Wang, Justine Zhang, Cristian Danescu-Niculescu-Mizil:
ConvoKit: A Toolkit for the Analysis of Conversations. - Mario Kapl, Giancarlo Sangalli, Thomas Takacs:
A family of $C^1$ quadrilateral finite elements. - Zhishuai Zhang, Jiyang Gao, Junhua Mao, Yukai Liu, Dragomir Anguelov, Congcong Li:
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction. - Walid Bekhtaoui, Ruhan Sa, Brian Teixeira, Vivek K. Singh, Klaus J. Kirchberg, Yao-jen Chang, Ankur Kapoor:
View Invariant Human Body Detection and Pose Estimation from Multiple Depth Sensors. - Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li, Cordelia Schmid:
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation. - Hadi Mardani Kamali, Kimia Zamiri Azar, Houman Homayoun, Avesta Sasan:
On Designing Secure and Robust Scan Chain for Protecting Obfuscated Logic. - Xiaoyan Li, Christoforos N. Hadjicostis, Zhiwu Li:
Extended Insertion Functions for Opacity Enforcement. - Arsenii Kuznetsov, Pavel Shvechikov, Alexander Grishin, Dmitry P. Vetrov:
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics. - Liang Tong, Minzhe Guo, Atul Prakash, Yevgeniy Vorobeychik:
Towards Robustness against Unsuspicious Adversarial Examples. - Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey. - Peng Su, K. Vijay-Shanker:
Adversarial Learning for Supervised and Semi-supervised Relation Extraction in Biomedical Literature. - Liyao Gao, Yifan Du, Hongshan Li, Guang Lin:
RotEqNet: Rotation-Equivariant Network for Fluid Systems with Symmetric High-Order Tensors. - Mário Popolin Neto, Fernando V. Paulovich:
Explainable Matrix - Visualization for Global and Local Interpretability of Random Forest Classification Ensembles. - Giorgos Mamakoukas, Ian Abraham, Todd D. Murphey:
Learning Data-Driven Stable Koopman Operators. - Siddarth S, Sainath G:
Deep Residual Network based food recognition for enhanced Augmented Reality application. - Thomas Hardjono, Ned M. Smith:
An Attestation Architecture for Blockchain Networks. - Jinkyu Kim, Mayank Bansal:
Attentional Bottleneck: Towards an Interpretable Deep Driving Network. - Mingyu Lu, Zachary Shahn, Daby Sow, Finale Doshi-Velez, Li-Wei H. Lehman:
Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Sepsis Treatment. - Ben Zhou, Qiang Ning, Daniel Khashabi, Dan Roth:
Temporal Common Sense Acquisition with Minimal Supervision. - Danny Hernandez, Tom B. Brown:
Measuring the Algorithmic Efficiency of Neural Networks. - Peter Clark, John A. Thompson, Bruce W. Porter:
Knowledge Patterns. - Jian Xu, Sunkyu Kim, Min Song, Minbyul Jeong, Donghyeon Kim, Jaewoo Kang, Justin F. Rousseau, Xin Li, Weijia Xu, Vetle I. Torvik, Yi Bu, Chongyan Chen, Islam Akef Ebeid, Daifeng Li, Ying Ding:
Building a PubMed knowledge graph. - Yongge Wang:
Deterministic Blockchain BFT Protocol XP for Complete Asynchronous Networks. - Sara Abdali, Neil Shah, Evangelos E. Papalexakis:
HiJoD: Semi-Supervised Multi-aspect Detection of Misinformation using Hierarchical Joint Decomposition. - Emily Goodwin, Koustuv Sinha, Timothy J. O'Donnell:
Probing Linguistic Systematicity. - Andrew K. Lampinen, James L. McClelland:
Transforming task representations to allow deep learning models to perform novel tasks. - Hian-Hian See, Brian Lim, Si Li, Haicheng Yao, Wen Cheng, Harold Soh, Benjamin C. K. Tee:
ST-MNIST - The Spiking Tactile MNIST Neuromorphic Dataset. - David Charte, Francisco Charte, María José del Jesus, Francisco Herrera:
A Showcase of the Use of Autoencoders in Feature Learning Applications. - Gustavo Aguilar, Sudipta Kar, Thamar Solorio:
LinCE: A Centralized Benchmark for Linguistic Code-switching Evaluation. - Zhaoming Xie, Hung Yu Ling, Nam Hee Kim, Michiel van de Panne:
ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills. - Zeke Wang, Hongjing Huang, Jie Zhang, Gustavo Alonso:
Benchmarking High Bandwidth Memory on FPGAs. - Sayandev Mukherjee, Bernardo A. Huberman:
Market-based Short-Term Allocations in Small Cell Wireless Networks. - Simone Brugiapaglia, Matthew Liu, Paul F. Tupper:
Generalizing Outside the Training Set: When Can Neural Networks Learn Identity Effects? - Huan Nguyen, Frank Mascarich, Tung Dang, Kostas Alexis:
Autonomous Aerial Robotic Surveying and Mapping with Application to Construction Operations. - Daniel A. Messenger, David M. Bortz:
Weak SINDy: Galerkin-Based Data-Driven Model Selection. - Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai, Jake M. Hofman, Elissa M. Redmiles:
How good is good enough for COVID19 apps? The influence of benefits, accuracy, and privacy on willingness to adopt. - Sreeja Chowdhury, Ana Covic, Rabin Yu Acharya, Spencer Dupee, Fatemeh Ganji, Domenic Forte:
Physical Security in the Post-quantum Era: A Survey on Side-channel Analysis, Random Number Generators, and Physically Unclonable Functions. - Shiori Sagawa, Aditi Raghunathan, Pang Wei Koh, Percy Liang:
An Investigation of Why Overparameterization Exacerbates Spurious Correlations. - Hui Su, Xiaoyu Shen, Sanqiang Zhao, Xiao Zhou, Pengwei Hu, Randy Zhong, Cheng Niu, Jie Zhou:
Diversifying Dialogue Generation with Non-Conversational Text. - Aavaas Gajurel, Sushil J. Louis, Frederick C. Harris Jr.:
GPU Acceleration of Sparse Neural Networks. - Sudi Lyu, Anxiang Zhang, Rong Song:
Dual-track Music Generation using Deep Learning. - Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai:
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. - Yunzhong He, Wenyuan Li, Liang-Wei Chen, Gabriel Forgues, Xunlong Gui, Sui Liang, Bo Hou:
A Social Search Model for Large Scale Social Networks. - Shan Zhang, Junjie Li, Hongbin Luo, Jie Gao, Lian Zhao, Xuemin Shen:
Low-Latency and Fresh Content Provision in Information-Centric Vehicular Networks. - Qiaoan Chen, Hao Gu, Lingling Yi, Yishi Lin, Peng He, Chuan Chen, Yangqiu Song:
SocialTrans: A Deep Sequential Model with Social Information for Web-Scale Recommendation Systems. - Dylan Rudy, Chris Monico:
Remarks on a Tropical Key Exchange System. - Samson Tan, Shafiq R. Joty, Min-Yen Kan, Richard Socher:
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations. - Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan:
Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition. - Pei Wang, Yu Ding, Mingshen Sun, Huibo Wang, Tongxin Li, Rundong Zhou, Zhaofeng Chen, Yiming Jing:
Building and Maintaining a Third-Party Library Supply Chain for Productive and Secure SGX Enclave Development. - Michael Linares, Nishant Aswani, Gary Mac, Chenglu Jin, Fei Chen, Nikhil Gupta, Ramesh Karri:
HACK3D: Evaluating Cybersecurity of Additive Manufacturing by Crowdsourcing. - Di Zhuang, J. Morris Chang:
Utility-aware Privacy-preserving Data Releasing. - Jianhui Yu, Chaoyi Zhang, Yang Song, Weidong Cai:
ICE-GAN: Identity-aware and Capsule-Enhanced GAN for Micro-Expression Recognition and Synthesis. - Sharu Theresa Jose, Osvaldo Simeone:
Information-Theoretic Generalization Bounds for Meta-Learning and Applications. - Woonhyuk Baek, Ildoo Kim, Sungwoong Kim, Sungbin Lim:
AutoCLINT: The Winning Method in AutoCV Challenge 2019. - Yashwanth Kumar Nakka, Anqi Liu, Guanya Shi, Anima Anandkumar, Yisong Yue, Soon-Jo Chung:
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. - Bowen Liu, Pawel Szalachowski:
A First Look into DeFi Oracles. - Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang:
Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation. - Mazen Alamir, Gabriele Pannocchia:
A new formulation of Economic Model Predictive Control without terminal constraint. - Kailai Xu, Alexandre M. Tartakovsky, Jeff Burghardt, Eric Darve:
Inverse Modeling of Viscoelasticity Materials using Physics Constrained Learning. - Yan Yang, Xiaoping Xie:
High order mixed finite elements with mass lumping for elasticity on triangular grids. - Haotian Zheng, Seyyed Ali Hashemi, Alexios Balatsoukas-Stimming, Zizheng Cao, Ton Koonen, John M. Cioffi, Andrea Goldsmith:
Threshold-Based Fast Successive-Cancellation Decoding of Polar Codes. - Junheng Huang, Lu Pan, Kang Xu, Weihua Peng, Fayuan Li:
Generating Pertinent and Diversified Comments with Topic-aware Pointer-Generator Networks. - Jiannan Zhao, Hongxin Wang, Shigang Yue:
Enhancing LGMD's Looming Selectivity for UAVs with Spatial-temporal Distributed Presynaptic Connection. - Catalin Emilian Boja, Claudiu Herteliu, Marian Dârdala, Bogdan Vasile Ileanu:
Day of the week submission effect for accepted papers in Physica A, PLOS ONE, Nature and Cell. - Marco Romanelli, Konstantinos Chatzikokolakis, Catuscia Palamidessi, Pablo Piantanida:
Estimating g-Leakage via Machine Learning. - Franz Götz-Hahn, Vlad Hosu, Dietmar Saupe:
Comment on "No-Reference Video Quality Assessment Based on the Temporal Pooling of Deep Features". - Kevin Bui, Fredrick Park, Yifei Lou, Jack Xin:
A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation. - Massimo Stella, Valerio Restocchi, Simon De Deyne:
#lockdown: network-enhanced emotional profiling at the times of COVID-19. - Xu Yao, Gilles Puy, Patrick Pérez:
Photo style transfer with consistency losses. - Xu Yao, Gilles Puy, Alasdair Newson, Yann Gousseau, Pierre Hellier:
High Resolution Face Age Editing. - Yiqing Hua, Thomas Ristenpart, Mor Naaman:
Towards Measuring Adversarial Twitter Interactions against Candidates in the US Midterm Elections. - Yiqing Hua, Mor Naaman, Thomas Ristenpart:
Characterizing Twitter Users Who Engage in Adversarial Interactions against Political Candidates. - Jun He, Richang Hong, Xueliang Liu, Mingliang Xu, Zhengjun Zha, Meng Wang:
Memory-Augmented Relation Network for Few-Shot Learning. - Dor Ringel, Rotem Dror, Roi Reichart:
The Structured Weighted Violations MIRA. - Kiyoharu Aizawa, Azuma Fujimoto, Atsushi Otsubo, Toru Ogawa, Yusuke Matsui, Koki Tsubota, Hikaru Ikuta:
Building a Manga Dataset "Manga109" with Annotations for Multimedia Applications. - Azka Muji Burohman, Bart Besselink, Jacquelien M. A. Scherpen, M. Kanat Camlibel:
Informativity for data-driven model reduction through interpolation. - Chris J. Mitchell:
How not to secure wireless sensor networks revisited: Even if you say it twice it's still not secure. - Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop M. Namboodiri:
Understanding Dynamic Scenes using Graph Convolution Networks. - Aaquib Tabrez, Matthew B. Luebbers, Bradley Hayes:
Automated Failure-Mode Clustering and Labeling for Informed Car-To-Driver Handover in Autonomous Vehicles. - Oleh Lukianykhin, Tetiana Bogodorova:
Reinforcement Learning for Thermostatically Controlled Loads Control using Modelica and Python. - Paul-André Melliès, Léo Stefanesco:
Concurrent Separation Logic Meets Template Games. - Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Ayse Mine Evren, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi:
Domain-specific loss design for unsupervised physical training: A new approach to modeling medical ML solutions. - Martin Koutecký, Nimrod Talmon:
Multi-Party Campaigning. - Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke:
Rethinking Item Importance in Session-based Recommendation. - Cunyuan Gao, Yi Hu, Yi Zhang, Rui Yao, Yong Zhou, Jiaqi Zhao:
Vehicle Re-Identification Based on Complementary Features. - Yanran Guan, Han Liu, Kun Liu, Kangxue Yin, Ruizhen Hu, Oliver van Kaick, Yan Zhang, Ersin Yumer, Nathan Carr, Radomír Mech, Hao Zhang:
3D Shape Generation via Functionality-Aware Model Evolution. - Daniel Le Berre, Pierre Marquis, Romain Wallon:
On Weakening Strategies for PB Solvers. - Frederike Dümbgen, Majed El Helou, Adam Scholefield:
Realizability of Planar Point Embeddings from Angle Measurements. - Ji-Ung Lee, Christian M. Meyer, Iryna Gurevych:
Empowering Active Learning to Jointly Optimize System and User Demands. - Fabricio A. Breve, Carlos N. Fischer:
Visually Impaired Aid using Convolutional Neural Networks, Transfer Learning, and Particle Competition and Cooperation. - Ellen M. Voorhees, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, William R. Hersh, Kyle Lo, Kirk Roberts, Ian Soboroff, Lucy Lu Wang:
TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection. - (Withdrawn) Playing odds and evens with finite automata.
- Weiyao Lin, Huabin Liu, Shizhan Liu, Yuxi Li, Guo-Jun Qi, Rui Qian, Tao Wang, Nicu Sebe, Ning Xu, Hongkai Xiong, Mubarak Shah:
Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex Events. - Omkar Gune, Mainak Pal, Preeti Mukherjee, Biplab Banerjee, Subhasis Chaudhuri:
Generative Model-driven Structure Aligning Discriminative Embeddings for Transductive Zero-shot Learning. - Marzieh Najafi, Bernhard Schmauss, Robert Schober:
Intelligent Reconfigurable Reflecting Surfaces for Free Space Optical Communications. - Renata Kawa, Mieczyslaw Kula:
Access Structures Determined by Uniform Polymatroids. - Ethan A. Chi, John Hewitt, Christopher D. Manning:
Finding Universal Grammatical Relations in Multilingual BERT. - Ana C. M. Brito, Filipi Nascimento Silva, Henrique Ferraz de Arruda, Cesar H. Comin, Diego R. Amancio, Luciano da F. Costa:
How are scientific works viewed? - Mohammad Sabouri, Sara Siamak, Maryam Dehghani, Mohsen Mohammadi, Mohammad Hassan Asemani:
Intelligent GPS Spoofing Attack Detection in Power Grids. - Ramy Baly, Georgi Karadzhov, Jisun An, Haewoon Kwak, Yoan Dinkov, Ahmed Ali, James R. Glass, Preslav Nakov:
What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context. - Paulo Jorge Esteves Veríssimo, Jérémie Decouchant, Marcus Völp, Alireza Esfahani, Rafal Graczyk:
PriLok: Citizen-protecting distributed epidemic tracing. - Francisco G. Montoya, Alfredo Alcayde, Francisco Manuel Arrabal-Campos, Raul Baños:
How to overcome the limitations of p-q Theory: Geometric Algebra Power Theory to the rescue. - Zhong Sun, Giacomo Pedretti, Piergiulio Mannocci, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini:
Time complexity of in-memory solution of linear systems. - Zhong Sun, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini:
In-memory eigenvector computation in time O(1). - Anya Chaturvedi, Andréa W. Richa, Matthias Rost, Stefan Schmid, Jamison Weber:
Improved Bi-criteria Approximation for the All-or-Nothing Multicommodity Flow Problem in Arbitrary Networks. - Vishal Vyas, Kumar Ravi, Vadlamani Ravi, V. Uma, Srirangaraj Setlur, Venu Govindaraju:
Article citation study: Context enhanced citation sentiment detection. - Alexis Asseman, Nicolas Antoine, Ahmet S. Ozcan:
Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems. - Linjian Ma, Jiayu Ye, Edgar Solomonik:
AutoHOOT: Automatic High-Order Optimization for Tensors. - Miaohua Zhang, Yongsheng Gao, Changming Sun, Michael Blumenstein:
A Robust Matching Pursuit Algorithm Using Information Theoretic Learning. - Yang Liu, Michael Gordon, Juntao Wang, Michael Bishop, Yiling Chen, Thomas Pfeiffer, Charles Twardy, Domenico Viganola:
Replication Markets: Results, Lessons, Challenges and Opportunities in AI Replication. - Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish:
Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. - Yihui He, Rui Yan, Katerina Fragkiadaki, Shoou-I Yu:
Epipolar Transformers. - Jingrun Chen, Rui Du, Keke Wu:
A comprehensive study of boundary conditions when solving PDEs by DNNs. - Mahdi Biparva, John K. Tsotsos:
Compact Neural Representation Using Attentive Network Pruning. - Xiang Lisa Li, Alexander M. Rush:
Posterior Control of Blackbox Generation. - Kevin Burrage, Pamela M. Burrage, Shev MacNamara:
The reflectionless properties of Toeplitz waves and Hankel waves: an analysis via Bessel functions. - Omobayode Fagbohungbe, Sheikh Rufsan Reza, Xishuang Dong, Lijun Qian:
Efficient Privacy Preserving Edge Computing Framework for Image Classification. - Xianxu Hou, Jingxin Liu, Bolei Xu, Xiaolong Wang, Bozhi Liu, Guoping Qiu:
Class-Aware Domain Adaptation for Improving Adversarial Robustness. - Abhijit Pathak, Abrar Hossain Tasin:
Belief Rule Based Expert System to Identify the Crime Zones. - Cong T. Nguyen, Diep N. Nguyen, Dinh Thai Hoang, Hoang-Anh Pham, Nguyen Huynh Tuong, Yong Xiao, Eryk Dutkiewicz:
BlockRoam: Blockchain-based Roaming Management System for Future Mobile Networks. - Chi Tran:
A Generic Message Authentication Code: A combination of the Inter MAC and Carter-Wegman MAC. - Tomoaki Okayama, Tomoki Nomura, Saki Tsuruta:
New conformal map for the trapezoidal formula for infinite integrals of unilateral rapidly decreasing functions. - Antonio Cicone, Hau-Tieng Wu:
Convergence analysis of Adaptive Locally Iterative Filtering and SIFT method. - Javed Qadrud-Din, Ashraf Bah Rabiou, Ryan Walker, Ravi Soni, Martin Gajek, Gabriel Pack, Akhil Rangaraj:
Transformer Based Language Models for Similar Text Retrieval and Ranking. - Ben Goertzel:
Maximal Algorithmic Caliber and Algorithmic Causal Network Inference: General Principles of Real-World General Intelligence? - Ori Shmuel, Asaf Cohen, Omer Gurewitz:
Compute-and-Forward in Large Relaying Systems: Limitations and Asymptotically Optimal Scheduling. - Ritam Guha, Manosij Ghosh, Shyok Mutsuddi, Ram Sarkar, Seyedali Mirjalili:
Embedded Chaotic Whale Survival Algorithm for Filter-Wrapper Feature Selection. - Ritam Guha, Manosij Ghosh, Pawan Kumar Singh, Ram Sarkar, Mita Nasipuri:
A Hybrid Swarm and Gravitation based feature selection algorithm for Handwritten Indic Script Classification problem. - Klaus-Dieter Schewe:
Insignificant Choice Polynomial Time. - Devroop Kar, Manosij Ghosh, Ritam Guha, Ram Sarkar, Laura García-Hernández, Ajith Abraham:
Fuzzy Mutation Embedded Hybrids of Gravitational Search and Particle Swarm Optimization Methods for Engineering Design Problems. - Anthony D. Rhodes, Bin Jiang:
Regularized L21-Based Semi-NonNegative Matrix Factorization. - Miaohua Zhang, Yongsheng Gao, Changming Sun, Michael Blumenstein:
Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy. - Shubham Sahai, Rohit Sinha, Pramod Subramanyan:
Verification of Quantitative Hyperproperties Using Trace Enumeration Relations. - Fabio Petroni, Patrick S. H. Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel:
How Context Affects Language Models' Factual Predictions. - Aditya Vikram Singhania, Saronyo Lal Mukherjee, Ritajit Majumdar, Akash Mehta, Priyanka Banerjee, Debasmita Bhoumik:
A machine learning based heuristic to predict the efficacy of online sale. - Vignesh Prasad, Dipanjan Das, Brojeshwar Bhowmick:
Variational Clustering: Leveraging Variational Autoencoders for Image Clustering. - Puneet Gupta, Brojeshwar Bhowmick, Arpan Pal:
MOMBAT: Heart Rate Monitoring from Face Video using Pulse Modeling and Bayesian Tracking. - Miaohua Zhang, Yongsheng Gao, Fanhua Shang:
A Unified Weight Learning and Low-Rank Regression Model for Robust Face Recognition. - Mateusz Ochal, Jose Vazquez, Yvan R. Petillot, Sen Wang:
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification. - Mateusz Michalkiewicz, Eugene Belilovsky, Mahsa Baktashmotlagh, Anders P. Eriksson:
A Simple and Scalable Shape Representation for 3D Reconstruction. - Wang Zhu, Hexiang Hu, Jiacheng Chen, Zhiwei Deng, Vihan Jain, Eugene Ie, Fei Sha:
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps. - Sina Niedermaier, Stefan Heisse, Stefan Wagner:
Correct and Control Complex IoT Systems: Evaluation of a Classification for System Anomalies. - Huan Yin, Yue Wang, Li Tang, Rong Xiong:
Radar-on-Lidar: metric radar localization on prior lidar maps. - Hirohisa Watanabe, Mineto Tsukada, Hiroki Matsutani:
An FPGA-Based On-Device Reinforcement Learning Approach using Online Sequential Learning. - Muhammad Usama, Jaehong Kim:
Vector Control Algorithm Based on Different Current Control Switching Techniques for Ac Motor Drives. - Khaled Waleed, Ali AlSoufi:
Employees Productivity Measurement and Control - a Case of a National University. - Yuanjie Shao, Lerenhan Li, Wenqi Ren, Changxin Gao, Nong Sang:
Domain Adaptation for Image Dehazing. - Ali Aroudi, Marc Delcroix, Tomohiro Nakatani, Keisuke Kinoshita, Shoko Araki, Simon Doclo:
Cognitive-driven convolutional beamforming using EEG-based auditory attention decoding. - Mohammed Ghanem, Ali AlSoufi:
Interoperable Framework to Enhance Citizen Services in the Kingdom of Bahrain. - Miaohua Zhang, Yongsheng Gao:
A Generalized Kernel Risk Sensitive Loss for Robust Two-Dimensional Singular Value Decomposition. - Erdogan Taskesen:
HNet: Graphical Hypergeometric Networks. - Dhiraj D. Kalamkar, Evangelos Georganas, Sudarshan Srinivasan, Jianping Chen, Mikhail Shiryaev, Alexander Heinecke:
Optimizing Deep Learning Recommender Systems' Training On CPU Cluster Architectures. - Mihai Avram, Nicholas Micallef, Sameer Patil, Filippo Menczer:
Exposure to Social Engagement Metrics Increases Vulnerability to Misinformation. - Shen Gao, Xiuying Chen, Zhaochun Ren, Dongyan Zhao, Rui Yan:
From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information. - Yuan Zhang, Yuanqing Xia, Jinhui Zhang, Jun Shang:
Generic Detectability and Isolability of Topology Failures in Networked Linear Systems. - Tien-Dung Nguyen:
Improving The Performance Of The K-means Algorithm. - Longteng Guo, Jing Liu, Xinxin Zhu, Xingjian He, Jie Jiang, Hanqing Lu:
Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning. - Tomaso Aste:
Topological regularization with information filtering networks. - Nelson P. K. Chan, Bayu Jayawardhana, Héctor García de Marina:
Angle-Constrained Formation Control for Circular Mobile Robots. - Walid R. Ghanem, Vahid Jamali, Qiuyu Zhang, Robert Schober:
Joint Uplink-Downlink Resource Allocation for OFDMA-URLLC MEC Systems. - Song Lu, Xianmin Xu:
An efficient diffusion generated motion method for wetting dynamics. - Hirofumi Inaguma, Masato Mimura, Tatsuya Kawahara:
CTC-synchronous Training for Monotonic Attention Model. - Gioele Zardini, David I. Spivak, Andrea Censi, Emilio Frazzoli:
A Compositional Sheaf-Theoretic Framework for Event-Based Systems. - Xueyuan Han, James Mickens, Ashish Gehani, Margo I. Seltzer, Thomas F. J.-M. Pasquier:
Xanthus: Push-button Orchestration of Host Provenance Data Collection. - Tian Lin, Xianghao Yu, Yu Zhu, Robert Schober:
Channel Estimation for Intelligent Reflecting Surface-Assisted Millimeter Wave MIMO Systems. - Maximilian Algehed, Jean-Philippe Bernardy, Catalin Hritcu:
Dynamic IFC Theorems for Free! - Thomas Drugman, Thierry Dutoit:
Chirp Complex Cepstrum-based Decomposition for Asynchronous Glottal Analysis. - Xiyuan Chen, Mark Heimann, Fatemeh Vahedian, Danai Koutra:
Consistent Network Alignment with Node Embedding. - Shreyansh P. Bhatt, Amit P. Sheth, Valerie L. Shalin, Jinjin Zhao:
Knowledge Graph semantic enhancement of input data for improving AI. - Chen-Feng Liu, Mehdi Bennis:
Data-Driven Predictive Scheduling in Ultra-Reliable Low-Latency Industrial IoT: A Generative Adversarial Network Approach. - Hykel Hosni, Angelo Vulpiani:
Random thoughts about Complexity, Data and Models. - Amal A. Alahmadi, Mohamed O. I. Musa, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani, Susan Grant-Muller, David Hutchison, Andreas Mauthe, Mehrdad Dianati, Carsten Maple, Laurent Lefèvre, A. Lason:
Fogbanks: Future Dynamic Vehicular Fog Banks for Processing, Sensing and Storage in 6G. - Xiang Zhou, Mohit Bansal:
Towards Robustifying NLI Models Against Lexical Dataset Biases. - Lars Jaffke, Paloma T. Lima, Geevarghese Philip:
Structural Parameterizations of Clique Coloring. - Dan Shiebler:
Categorical Stochastic Processes and Likelihood. - Rémi Géraud-Stewart, Marius Lombard-Platet, David Naccache:
Approaching Optimal Duplicate Detection in a Sliding Window. - Vijjini Anvesh Rao, Kaveri Anuranjana, Radhika Mamidi:
A SentiWordNet Strategy for Curriculum Learning in Sentiment Analysis. - Shihao Song, Anup Das, Nagarajan Kandasamy:
Exploiting Inter- and Intra-Memory Asymmetries for Data Mapping in Hybrid Tiered-Memories. - Edgar Herrera-Delgado, James Briscoe, Peter Sollich:
Nonlinear memory functions capture and explain dynamical behaviours. - Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Improving Phase Change Memory Performance with Data Content Aware Access. - Achin Jain, Pratik Chaudhari, Manfred Morari:
BayesRace: Learning to race autonomously using prior experience. - Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, Tomas Pfister:
A Simple Semi-Supervised Learning Framework for Object Detection. - Vitaly Feldman, Tomer Koren, Kunal Talwar:
Private Stochastic Convex Optimization: Optimal Rates in Linear Time. - Mustafa Hajij, Eyad Said, Robert Todd:
PageRank and The K-Means Clustering Algorithm. - Mathias Rothermel, Ke Gong, Dieter Fritsch, Konrad Schindler, Norbert Haala:
Photometric Multi-View Mesh Refinement for High-Resolution Satellite Images. - Ahmet Sinak:
Minimal Linear Codes From Weakly Regular Plateaued Balanced Functions. - Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran:
Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing. - Jichen Zhu, Katelyn Alderfer, Brian K. Smith, Bruce W. Char, Santiago Ontañón:
Understanding Learners' Problem-Solving Strategies in Concurrent and Parallel Programming: A Game-Based Approach. - Douwe Kiela, Hamed Firooz, Aravind Mohan, Vedanuj Goswami, Amanpreet Singh, Pratik Ringshia, Davide Testuggine:
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes. - Gordon Belot:
Absolutely No Free Lunches! - Sitaram Devarakonda, James R. Bradley, Dmitriy Korobskiy, Tandy J. Warnow, George Chacko:
Frequently Co-cited Publications: Features and Kinetics. - Arnold Filtser, Omrit Filtser:
Plurality in Spatial Voting Games with constant $β$. - Itai Dinur:
Improved Algorithms for Solving Polynomial Systems over GF(2) by Multiple Parity-Counting. - Hessam Pirzadeh, Gonzalo Seco-Granados, A. Lee Swindlehurst, Josef A. Nossek:
On the Effect of Mutual Coupling in One-Bit Spatial Sigma-Delta Massive MIMO Systems. - Lizhen Shi, Bo Chen:
Comparison and Benchmark of Graph Clustering Algorithms. - Novanto Yudistira:
COVID-19 growth prediction using multivariate long short term memory. - Jingwei Song, Mitesh Patel:
A closed-form solution to estimate uncertainty in non-rigid structure from motion. - Marco Cristani, Alessio Del Bue, Vittorio Murino, Francesco Setti, Alessandro Vinciarelli:
The Visual Social Distancing Problem. - Aditya Siddhant, Ankur Bapna, Yuan Cao, Orhan Firat, Mia Xu Chen, Sneha Reddy Kudugunta, Naveen Arivazhagan, Yonghui Wu:
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation. - Hidekazu Yoshioka:
River environmental restoration based on random observations of a non-smooth stochastic dynamical system. - Thomas Hujsa, Bernard Berthomieu, Silvano Dal-Zilio, Didier Le Botlan:
On the Petri Nets with a Single Shared Place and Beyond. - Qiang Yu, Shiming Song, Chenxiang Ma, Linqiang Pan, Kay Chen Tan:
Synaptic Learning with Augmented Spikes. - Faisal R. Al-Osaimi:
Learning Descriptors Invariance Through Equivalence Relations Within Manifold: A New Approach to Expression Invariant 3D Face Recognition. - Joel Stremmel, Arjun Singh:
Pretraining Federated Text Models for Next Word Prediction. - Xenofon Vasilakos, Navid Nikaein, Dean H. Lorenz, Berkay Köksal, Nasim Ferdosian:
Integrated Methodology to Cognitive Network Slice Management in Virtualized 5G Networks. - Shubhanshu Shekhar, Tara Javidi:
Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS. - Roy Ka-Wei Lee, Thong Hoang, Richard Jayadi Oentaryo, David Lo:
Keen2Act: Activity Recommendation in Online Social Collaborative Platforms. - Muhammad Saad, Joongheon Kim, DaeHun Nyang, David Mohaisen:
Contra-*: Mechanisms for Countering Spam Attacks on Blockchain Memory Pools. - Chaoqi Yang, Ruijie Wang, Shuochao Yao, Tarek F. Abdelzaher:
Hypergraph Learning with Line Expansion. - Cuiyu He, Xiaozhe Hu, Lin Mu:
A Mesh-free Method Using Piecewise Deep Neural Network for Elliptic Interface Problems. - Chang Shu, Xi Chen, Qiwei Xie, Chi Xiao, Hua Han:
Non-iterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissue. - Arijit Shaw, Kuldeep S. Meel:
Designing New Phase Selection Heuristics. - Geng Zhan, Dan Xu, Guo Lu, Wei Wu, Chunhua Shen, Wanli Ouyang:
Scope Head for Accurate Localization in Object Detection. - Toby Walsh:
Fair Division: The Computer Scientist's Perspective. - Xingyu Chen, Zijie Liu:
The Fairness of Leximin in Allocation of Indivisible Chores. - Nithin V. Sabu, Neeraj Varshney, Abhishek K. Gupta:
3-D Diffusive Molecular Communication with Two Fully-Absorbing Receivers: Hitting Probability and Performance Analysis. - Chenglu Jin, Vasudev Gohil, Ramesh Karri, Jeyavijayan Rajendran:
Security of Cloud FPGAs: A Survey. - Henrik Bode, Stefan Heid, Daniel Weber, Eyke Hüllermeier, Oliver Wallscheid:
Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control. - Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang:
Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data. - Abhishek Niranjan, M. Ali Basha Shaik, Kushal Verma:
Hierarchical Attention Transformer Architecture For Syntactic Spell Correction. - Jeong-Hyun Cho, Ji-Hoon Jeong, Seong-Whan Lee:
Decoding of Grasp Motions from EEG Signals Based on a Novel Data Augmentation Strategy. - Yael Doweck, Ittay Eyal:
Multi-Party Timed Commitments. - Linfeng Wang, Shu Kong, Zachary Pincus, Charless C. Fowlkes:
Celeganser: Automated Analysis of Nematode Morphology and Age. - Zixiao Shen, Xin Chen, Jonathan M. Garibaldi:
Performance Optimization of a Fuzzy Entropy based Feature Selection and Classification Framework. - Eleuterio F. Toro, Lucas O. Müller, Annunziato Siviglia:
Bounds for Wave Speeds in the Riemann Problem: Direct Theoretical Estimates. - Yuta Tokuoka, Shuji Suzuki, Yohei Sugawara:
An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation. - Robert Bredereck, Andrzej Kaczmarczyk, Dusan Knop, Rolf Niedermeier:
High-Multiplicity Fair Allocation Using Parametric Integer Linear Programming. - Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury:
Local Self-Attention over Long Text for Efficient Document Retrieval. - David Stap, Maurits J. R. Bleeker, Sarah Ibrahimi, Maartje ter Hoeve:
Conditional Image Generation and Manipulation for User-Specified Content. - Milan Stute, Max Maass, Tom Schons, Marc-André Kaufhold, Christian Reuter, Matthias Hollick:
Empirical Insights for Designing Information and Communication Technology for International Disaster Response. - Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans A. Oliehoek, Martha White:
Maximizing Information Gain in Partially Observable Environments via Prediction Reward. - Timon Barlag, Heribert Vollmer:
A Logical Characterization of Constant-Depth Circuits over the Reals. - Heikki Arponen, Tom E. Bishop:
Learning to hash with semantic similarity metrics and empirical KL divergence. - Shiri Artstein-Avidan, Haim Kaplan, Micha Sharir:
On Radial Isotropic Position: Theory and Algorithms. - Vasileios Papapanagiotou, Ioannis A. Sarafis, Christos Diou, Ioannis Ioakimidis, Evangelia Charmandari, Anastasios Delopoulos:
Collecting big behavioral data for measuring behavior against obesity. - Martha Lewis:
Towards logical negation for compositional distributional semantics. - (Withdrawn) Performance Modeling and Vertical Autoscaling of Stream Joins.
- Tanik Saikh, Arkadipta De, Asif Ekbal, Pushpak Bhattacharyya:
A Deep Learning Approach for Automatic Detection of Fake News. - Sergei A. Abramov, Manuel Bronstein, Marko Petkovsek, Carsten Schneider:
On Rational and Hypergeometric Solutions of Linear Ordinary Difference Equations in $Π\mathbfΣ^*$-field extensions. - Zhiqing Guo, Gaobo Yang, Jiyou Chen, Xingming Sun:
Fake Face Detection via Adaptive Residuals Extraction Network. - Evgeni Aizenberg, Jeroen van den Hoven:
Designing for Human Rights in AI. - Tatsuya Hayashi, Atsuyoshi Nakamura:
Propagation Graph Estimation by Pairwise Alignment of Time Series Observation Sequences. - Friedrich Eisenbrand, Moritz Venzin:
Approximate $\mathrm{CVP}_{\infty}$ in time $2^{0.802 \, n}$. - Onur Gökçe, Jonathan Prada, Nikola I. Nikolov, Nianlong Gu, Richard H. R. Hahnloser:
Embedding-based Scientific Literature Discovery in a Text Editor Application. - Junnan Li, Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi:
Prototypical Contrastive Learning of Unsupervised Representations. - Sebastian Müksch, Theo Olausson, John Wilhelm, Pavlos Andreadis:
Quantitative Analysis of Image Classification Techniques for Memory-Constrained Devices. - Ruitao Feng, Sen Chen, Xiaofei Xie, Guozhu Meng, Shang-Wei Lin, Yang Liu:
A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices. - Xinwang Liu, En Zhu, Jiyuan Liu, Timothy M. Hospedales, Yang Wang, Meng Wang:
SimpleMKKM: Simple Multiple Kernel K-means. - André Berg, David Cohen, Guillaume Dujardin:
Exponential integrators for the stochastic Manakov equation. - Benjamin Monmege, Julie Parreaux, Pierre-Alain Reynier:
Reaching Your Goal Optimally by Playing at Random. - Yunjin Tong, Shiying Xiong, Xingzhe He, Guanghan Pan, Bo Zhu:
Symplectic Neural Networks in Taylor Series Form for Hamiltonian Systems. - Daniele Silvestro, Tobias Andermann:
Prior choice affects ability of Bayesian neural networks to identify unknowns. - Domenico Cotroneo, Luigi De Simone, Pietro Liguori, Roberto Natella:
ProFIPy: Programmable Software Fault Injection as-a-Service. - Matthew Le Maitre, Amanda Prorok:
Effects of Controller Heterogeneity on Autonomous Vehicle Traffic. - Niklas Angleitner, Markus Faustmann, Jens Markus Melenk:
Approximating inverse FEM matrices on non-uniform meshes with $\mathcal{H}$-matrices. - Zixiao Shen, Xin Chen, Jonathan M. Garibaldi:
A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets. - Lingbo Yang, Chang Liu, Pan Wang, Shanshe Wang, Peiran Ren, Siwei Ma, Wen Gao:
HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment. - Kenneth Leerbeck, Peder Bacher, Rune Grønborg, Anna Tveit, Olivier Corradi, Henrik Madsen:
Control of heat pumps with CO2 emission intensity forecasts. - Jelle van Dijk:
Post-human interaction design, yes, but cautiously. - Youngnam Lee, Byungsoo Kim, Dongmin Shin, JungHoon Kim, Jineon Baek, Jinhwan Lee, Youngduck Choi:
Prescribing Deep Attentive Score Prediction Attracts Improved Student Engagement. - Lorcan Reidy, Dennis Chan, Charles Nduka, Hatice Gunes:
Facial Electromyography-based Adaptive Virtual Reality Gaming for Cognitive Training. - Ioana R. Goldbach, Felix G. Hamza-Lup:
Intelligent Tutoring Systems for Generation Z's Addiction. - L. R. D. Murthy, Somnath Arjun, Kamalpreet Singh Saluja, Pradipta Biswas:
Interactive Sensor Dashboard for Smart Manufacturing. - Omar Sosa-Tzec, Gowri Balasubramaniam, Sylvia Sinsabaugh, Evan Sobetski, Rogerio Pinto, Shervin Assari:
Delightful Companions: Supporting Well-Being Through Design Delight. - Andrés Marafioti, Piotr Majdak, Nicki Holighaus, Nathanaël Perraudin:
GACELA - A generative adversarial context encoder for long audio inpainting. - Prachi Jain, Sushant Rathi, Mausam, Soumen Chakrabarti:
Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols. - Manar A. Elmeiligy, Ali I. El-Desouky, Sally M. El-Ghamrawy:
A Multi-Dimensional Big Data Storing System for Generated COVID-19 Large-Scale Data using Apache Spark. - Xiaofei Li, Radu Horaud:
Online Monaural Speech Enhancement Using Delayed Subband LSTM. - Franz-Erich Wolter, Benjamin Berger, Alexander Vais:
Differential Geometric Foundations for Power Flow Computations. - Ansari Abdullah, Ayan Mahalanobis, Vivek Mohan Mallick:
Initial minors - a conjecture to solve the elliptic curve discrete logarithm problem. - Ali Salamati, Sadegh Soudjani, Majid Zamani:
Data-Driven Verification under Signal Temporal Logic Constraints. - Paul Diac, Liana Tucar, Andrei Netedu:
Relational Model for Parameter Description in Automatic Semantic Web Service Composition. - Emma Fitzgerald, Michal Pióro, Harsh Tataria, Gilles Callebaut, Sara Gunnarsson, Liesbet Van der Perre:
A Light Signalling Approach to Node Grouping for Massive MIMO IoT Networks. - Jian Zhan, João Cartucho, Stamatia Giannarou:
Autonomous Tissue Scanning under Free-Form Motion for Intraoperative Tissue Characterisation. - Luís M. S. Russo, Tobias Dietz, José Rui Figueira, Alexandre P. Francisco, Stefan Ruzika:
Sparsifying Parity-Check Matrices. - Anna Guerra, Francesco Guidi, Davide Dardari, Petar M. Djuric:
Reinforcement Learning for UAV Autonomous Navigation, Mapping and Target Detection. - Alireza M. Javid, Xinyue Liang, Arun Venkitaraman, Saikat Chatterjee:
Predictive Analysis of COVID-19 Time-series Data from Johns Hopkins University. - János Végh, Ádám József Berki:
Do we know the operating principles of our computers better than those of our brain? - Kaustubh K. Joshi:
Neighbourhood Evaluation Criteria for Vertex Cover Problem. - Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Ibai Laña, Javier Del Ser:
On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking. - Eric L. Manibardo, Ibai Laña, Javier Del Ser:
Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls. - Leslie Ann Goldberg, John Lapinskas, David Richerby:
Faster Exponential-time Algorithms for Approximately Counting Independent Sets. - Sophie Balech, Christophe Benavent, Mihai Calciu:
The First French COVID19 Lockdown Twitter Dataset. - Zhicheng Liu, Aoqian Zhang:
A Survey on Sampling and Profiling over Big Data (Technical Report). - Honglin Li, Payam M. Barnaghi, Shirin Enshaeifar, Frieder Ganz:
Continual Learning Using Task Conditional Neural Networks. - Binhang Yuan, Song Ge, Wenhui Xing:
A Federated Learning Framework for Healthcare IoT devices. - Martin Cooney:
Robot art, in the eye of the beholder?: Personalization through self-disclosure facilitates visual communication of emotions in representational art. - Chunjie Luo, Xiwen He, Jianfeng Zhan, Lei Wang, Wanling Gao, Jiahui Dai:
Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices. - Daniel Tang:
Decentralised, privacy-preserving Bayesian inference for mobile phone contact tracing. - Valentin Mayer-Eichberger, Abdallah Saffidine:
Positional Games and QBF: The Corrective Encoding. - Shonosuke Harada, Hisashi Kashima:
Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation. - Geng Yang, Shan Yang, Kai Liu, Peng Fang, Wei Chen, Lei Xie:
Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech. - Joachim Kock:
Elements of Petri nets and processes. - Siddharth Prakash Rao, Silke Holtmanns, Tuomas Aura:
Threat modeling framework for mobile communication systems. - Gowtham R. Kurri, Vinod M. Prabhakaran:
Secure Computation to Hide Functions of Inputs. - Mohammad Amin Samadi, Mohammad Sadegh Akhondzadeh, Sayed Jalal Zahabi, Mohammad Hossein Manshaei, Zeinab Maleki, Payman Adibi:
Evaluating Sparse Interpretable Word Embeddings for Biomedical Domain. - Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang:
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. - Harald Hanselmann, Hermann Ney:
Fine-Grained Visual Classification with Efficient End-to-end Localization. - Kejie Li, Martin Rünz, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian D. Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, Richard A. Newcombe:
FroDO: From Detections to 3D Objects. - Jichen Wang, Weiguo Zhu, Yongqi Sun, Chunzi Tian:
An Effective Dynamic Spatio-temporal Framework with Multi-Source Information for Traffic Prediction. - Sihong Shao, Yunfeng Xiong:
SPADE: Sequential-clustering Particle Annihilation via Discrepancy Estimation. - Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability. - Kieran Greer:
New Ideas for Brain Modelling 6. - Cornelius Brand, Kevin Pratt:
An Algorithmic Method of Partial Derivatives. - Ming-Chun Lee, Mingyue Ji, Andreas F. Molisch:
Optimal Throughput-Outage Analysis of Cache-Aided Wireless Multi-Hop D2D Networks - Derivations of Scaling Laws. - Louis Annabi, Alexandre Pitti, Mathias Quoy:
Autonomous learning and chaining of motor primitives using the Free Energy Principle. - Niklas Georg, Ulrich Römer:
Conformally Mapped Polynomial Chaos Expansions for Maxwell's Source Problem with Random Input Data. - Enoch Sakyi-Yeboah, Charles Kwofie, Kwabena Doku-Amponsah:
Large Deviation Principle for Empirical SINR Measure of Critical Telecommunication Networks. - David S. W. Williams, Daniele De Martini, Matthew Gadd, Letizia Marchegiani, Paul Newman:
Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision. - Trent Weiss, Madhur Behl:
DeepRacing: Parameterized Trajectories for Autonomous Racing. - Zichao Zhang, Torsten Sattler, Davide Scaramuzza:
Reference Pose Generation for Visual Localization via Learned Features and View Synthesis. - Yilin Niu, Fangkai Jiao, Mantong Zhou, Ting Yao, Jingfang Xu, Minlie Huang:
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction. - Simon Scherrer, Adrian Perrig, Stefan Schmid:
The Value of Information in Selfish Routing. - Thomas Stahlbuhk, Brooke Shrader, Eytan H. Modiano:
Learning Algorithms for Minimizing Queue Length Regret. - Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, Jaegul Choo:
Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence. - Peng Lu:
Simultaneous State and Unknown Input Estimation for Continuous-discrete Stochastic Systems. - Christian Etmann, Rihuan Ke, Carola-Bibiane Schönlieb:
iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling. - Mario Zanon, Vyacheslav Kungurtsev, Sébastien Gros:
Reinforcement Learning Based on Real-Time Iteration NMPC. - Jonathan R. Karr, Wolfram Liebermeister, Arthur P. Goldberg, John A. P. Sekar, Bilal Shaikh:
Structured spreadsheets with ObjTables enable data reuse and integration. - Jochen Könemann, Kanstantsin Pashkovich, Natig Tofigzade:
On the Approximability of the Stable Matching Problem with Ties of Constant Size up to the Integrality Gap. - Yun Chen, Xingqin Lin, Talha Ahmed Khan, Mohammad Mozaffari:
A Deep Reinforcement Learning Approach to Efficient Drone Mobility Support. - Matthia Sabatelli, Mike Kestemont, Pierre Geurts:
On the Transferability of Winning Tickets in Non-Natural Image Datasets. - Guillermo Jiménez-Pérez, Alejandro Alcaine, Oscar Camara:
ECG-DelNet: Delineation of Ambulatory Electrocardiograms with Mixed Quality Labeling Using Neural Networks. - Reese Pathak, Martin J. Wainwright:
FedSplit: An algorithmic framework for fast federated optimization. - Kyle Miller, Artur Dubrawski:
System-Level Predictive Maintenance: Review of Research Literature and Gap Analysis. - Ye Liu, Tao Yang, Zeyu You, Wei Fan, Philip S. Yu:
Commonsense Evidence Generation and Injection in Reading Comprehension. - Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Periodic optimal control of nonlinear constrained systems using economic model predictive control. - Hamed Nemati, Pablo Buiras, Andreas Lindner, Roberto Guanciale, Swen Jacobs:
Validation of Abstract Side-Channel Models for Computer Architectures. - Daphne Ippolito, David Grangier, Douglas Eck, Chris Callison-Burch:
Toward Better Storylines with Sentence-Level Language Models. - Abhilasha Sancheti, Kundan Krishna, Balaji Vasan Srinivasan, Anandhavelu Natarajan:
Reinforced Rewards Framework for Text Style Transfer. - Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme:
A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering. - Xiaocheng Shang:
Accurate and efficient splitting methods for dissipative particle dynamics. - Migran N. Gevorkyan, Anna V. Korolkova, Dmitry S. Kulyabov, Leonid A. Sevastianov:
A modular extension for a computer algebra system. - Daniela Gerz, Ivan Vulic, Marek Rei, Roi Reichart, Anna Korhonen:
Multidirectional Associative Optimization of Function-Specific Word Representations. - Zhijin Qin, Geoffrey Ye Li, Hao Ye:
Federated Learning and Wireless Communications. - Uzay Çetin, Yunus Emre Gündogmus:
Feature Selection with Evolving, Fast and Slow Using Two Parallel Genetic Algorithms. - Adel Ammar, Anis Koubaa:
Deep-Learning-based Automated Palm Tree Counting and Geolocation in Large Farms from Aerial Geotagged Images. - Dongsuk Kim, Geonhee Lee, Myungjae Lee, Shin Uk Kang, Dongmin Kim:
Normalized Convolutional Neural Network. - Raoul Heese, Lukas Morand, Dirk Helm, Michael Bortz:
CupNet - Pruning a network for geometric data. - Prateek Khandelwal, Anuj Khandelwal, Snigdha Agarwal, Deep Thomas, Naveen Xavier, Arun Raghuraman:
Using Computer Vision to enhance Safety of Workforce in Manufacturing in a Post COVID World. - Stefan Roth, Ahmed Arafa, H. Vincent Poor, Aydin Sezgin:
Remote Short Blocklength Process Monitoring: Trade-off Between Resolution and Data Freshness. - Claudio Gallicchio, Alessio Micheli:
Ring Reservoir Neural Networks for Graphs. - Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, Jianfeng Gao:
SOLOIST: Few-shot Task-Oriented Dialog with A Single Pre-trained Auto-regressive Model. - Zhuzhu Wang, Yilong Yang, Yang Liu, Ximeng Liu, Brij B. Gupta, Jianfeng Ma:
Cloud-based Federated Boosting for Mobile Crowdsensing. - Sheng Gui, Zhaodi Chen, Minxin Chen, Benzhuo Lu:
Molecular Sparse Representation by 3D Ellipsoid Radial Basis Function Neural Networks via $L_1$ Regularization. - Dung Hoang Duong, Kazuhide Fukushima, Shinsaku Kiyomoto, Partha Sarathi Roy, Arnaud Sipasseuth, Willy Susilo:
Lattice-based public key encryption with equality test supporting flexible authorization in standard model. - Mohsen Hajabdollahi, Nader Karimi, Shahram Shirani, Shadrokh Samavi:
Hardware Implementation of Adaptive Watermarking Based on Local Spatial Disorder Analysis. - Hao Guo, Behrooz Makki, Tommy Svensson:
Rate Adaptation in Predictor Antenna Systems. - Mahmoud Abo Khamis, Sungjin Im, Benjamin Moseley, Kirk Pruhs, Alireza Samadian:
A Relational Gradient Descent Algorithm For Support Vector Machine Training. - Chris Donahue, Mina Lee, Percy Liang:
Enabling Language Models to Fill in the Blanks. - Carl Christian Kjelgaard Mikkelsen:
Well-conditioned eigenvalue problems that overflow. - Jianwei Wu, James Clause:
A Pattern-based Approach to Detect and Improve Non-descriptive Test Names. - Nora Youssef, Abeer M. Mahmoud, El-Sayed M. El-Horbaty:
A Parallel Hybrid Technique for Multi-Noise Removal from Grayscale Medical Images. - Chris J. Mitchell:
Provably insecure group authentication: Not all security proofs are what they claim to be. - Suleyman Yildirim, Alper Ekrem Murat, Murat Yildirim, Suzan Arslanturk:
Process Knowledge Driven Change Point Detection for Automated Calibration of Discrete Event Simulation Models Using Machine Learning. - Tiago Novello, Vinícius da Silva, Luiz Velho:
Design and visualization of Riemannian metrics. - Laura Monroe, Vanessa Job:
Computationally Inequivalent Summations and Their Parenthetic Forms. - Lawrence J. Smolinsky, Daniel S. Sage, Aaron J. Lercher, Aaron Cao:
Citations versus expert opinions: Citation analysis of Featured Reviews of the American Mathematical Society. - Efstathios Bakolas:
Workspace Partitioning and Topology Discovery Algorithms for Heterogeneous Multi-Agent Networks. - Jie Lei, Liwei Wang, Yelong Shen, Dong Yu, Tamara L. Berg, Mohit Bansal:
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning. - Yutong Li, Nan Li, H. Eric Tseng, Suzhou Huang, Ilya V. Kolmanovsky, Anouck Girard, Dimitar P. Filev:
A Game Theoretic Approach for Parking Spot Search with Limited Parking Lot Information. - Majid Masoumi, Marcel Marcoux, Laurence Maignel, Candido Pomar:
SpectralWeight: a spectral graph wavelet framework for weight prediction of pork cuts. - Yan Yan, Yuhong Guo:
Multi-Level Generative Models for Partial Label Learning with Non-random Label Noise. - Changkyu Song, Abdeslam Boularias:
Identifying Mechanical Models through Differentiable Simulations. - Soumya Banerjee, Debarshi Kumar Sanyal, Samiran Chattopadhyay, Plaban Kumar Bhowmick, Partha Pratim Das:
Segmenting Scientific Abstracts into Discourse Categories: A Deep Learning-Based Approach for Sparse Labeled Data. - Jinzhi Lu, Xiaochen Zheng, Zhenchao Hu, Huisheng Zhang, Dimitris Kiritsis:
Towards a Decentralized Digital Engineering Assets Marketplace: Empowered by Model-based Systems Engineering and Distributed Ledger Technology. - Giannis Fikioris, Kostas Patroumpas, Alexander Artikis:
Optimizing Vessel Trajectory Compression. - Binyu Wang, Zhe Liu, Qingbiao Li, Amanda Prorok:
Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning. - Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson:
Inferring Obstacles and Path Validity from Visibility-Constrained Demonstrations. - Arash Karimi, Heng Zhang, Jia-Huai You:
Restricted Chase Termination for Existential Rules: a Hierarchical Approach and Experimentation. - Nicholas Thompson, John Maddock, George Ostrouchov, Jeremy Logan, David Pugmire, Scott Klasky:
Towards 1ULP evaluation of Daubechies Wavelets. - Alireza Ramezani:
Towards biomimicry of a bat-style perching maneuver on structures: the manipulation of inertial dynamics. - Armando Castañeda, Sergio Rajsbaum, Michel Raynal:
What Can Be Done with Consensus Number One: Relaxed Queues and Stacks. - Hantao Cui, Yichen Zhang, Federico Milano, Fangxing Li:
On the Modeling and Simulation of Anti-Windup Proportional-Integral Controller. - Prashant Pandey, Prathosh AP, Vinay Kyatham, Deepak Mishra, Tathagato Rai Dastidar:
Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search. - Vladimir Zamdzhiev:
Computational Adequacy for Substructural Lambda Calculi. 322-334 - Federico Ferrari, Ole Sigmund:
A new generation 99 line Matlab code for compliance Topology Optimization and its extension to 3D. - Han Zhang, Paula S. Nurius, Yasaman S. Sefidgar, Margaret E. Morris, Sreenithi Balasubramanian, Jennifer Brown, Anind K. Dey, Kevin S. Kuehn, Eve A. Riskin, Xuhai Xu, Jennifer Mankoff:
How Does COVID-19 impact Students with Disabilities/Health Concerns? - Saeed Mashdour, Majid Moradikia, Phee Lep Yeoh:
Secure mm-Wave Communications with Imperfect Hardware and Uncertain Eavesdropper Location. - Baiming Chen, Mengdi Xu, Liang Li, Ding Zhao:
Delay-Aware Model-Based Reinforcement Learning for Continuous Control. - Baiming Chen, Mengdi Xu, Zuxin Liu, Liang Li, Ding Zhao:
Delay-Aware Multi-Agent Reinforcement Learning. - Wenmian Yang, Guangtao Zeng, Bowen Tan, Zeqian Ju, Subrato Chakravorty, Xuehai He, Shu Chen, Xingyi Yang, Qingyang Wu, Zhou Yu, Eric P. Xing, Pengtao Xie:
On the Generation of Medical Dialogues for COVID-19. - Aoyu Gong, Tong Zhang, He Chen, Yijin Zhang:
Age-of-Information-based Scheduling in Multiuser Uplinks with Stochastic Arrivals: A POMDP Approach. - Yuzhou Gu, Yury Polyanskiy:
Non-linear Log-Sobolev inequalities for the Potts semigroup and applications to reconstruction problems. - Ramy Mounir, Kyle Reed:
Polyrhythmic Bimanual Coordination Training using Haptic Force Feedback. - Irene Nandutu, Ernest Mwebaze:
Luganda Text-to-Speech Machine. - Robert Beinert, Gabriele Steidl:
Robust PCA via Regularized REAPER with a Matrix-Free Proximal Algorithm. - Arjun Gupta, Luca Carlone:
Online Monitoring for Neural Network Based Monocular Pedestrian Pose Estimation. - Zhichao Peng, Yingda Cheng, Jing-Mei Qiu, Fengyan Li:
Stability-enhanced AP IMEX1-LDG method: energy-based stability and rigorous AP property. - Ron M. Roth, Paul H. Siegel:
On Parity-Preserving Variable-Length Constrained Coding. - Changkyu Song, Abdeslam Boularias:
Learning to Slide Unknown Objects with Differentiable Physics Simulations. - Ramy Amer, Hesham ElSawy, Jacek Kibilda, M. Majid Butt, Nicola Marchetti:
Performance Analysis and Optimization of Cache-Assisted CoMP for Clustered D2D Networks. - Majed El Helou, Ruofan Zhou, Johan Barthas, Sabine Süsstrunk:
VIDIT: Virtual Image Dataset for Illumination Transfer. - Tom Krüger, Wolfgang Mauerer:
Quantum Annealing-Based Software Components: An Experimental Case Study with SAT Solving. - Lawrence J. Smolinsky, Aaron J. Lercher:
Co-author weighting in bibliometric methodology and subfields of a scientific discipline. - Micah Altman, Karen Cariani, Bradley J. Daigle, Christie Moffatt, Sibyl Schaefer, San Diego Bethany Scott, Lauren Work:
2020 NDSA Agenda for Digital Stewardship. - Lane Schwartz, Francis M. Tyers, Lori S. Levin, Christo Kirov, Patrick Littell, Chi-kiu Lo, Emily Prud'hommeaux, Hyunji Hayley Park, Kenneth Steimel, Rebecca Knowles, Jeffrey Micher, Lonny Strunk, Han Liu, Coleman Haley, Katherine J. Zhang, Robbie Jimerson, Vasilisa Andriyanets, Aldrian Obaja Muis, Naoki Otani, Jong Hyuk Park, Zhisong Zhang:
Neural Polysynthetic Language Modelling. - Yuheng Du, Shereen Oraby, Vittorio Perera, Minmin Shen, Anjali Narayan-Chen, Tagyoung Chung, Anu Venkatesh, Dilek Hakkani-Tür:
Schema-Guided Natural Language Generation. - Jingwei Song, Mitesh Patel, Andreas Girgensohn, Chelhwon Kim:
Combining Deep Learning with Geometric Features for Image based Localization in the Gastrointestinal Tract. - Takashi Morita, Hiroki Koda:
Exploring TTS without T Using Biologically/Psychologically Motivated Neural Network Modules (ZeroSpeech 2020). - David Suter, Ruwan B. Tennakoon, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar:
Monotone Boolean Functions, Feasibility/Infeasibility, LP-type problems and MaxCon. - Jianyu Mao, Kiana Harris, Nae-Rong Chang, Caleb Pennell, Yiming Ren:
Train and Deploy an Image Classifier for Disaster Response. - Saeid Asgari Taghanaki, Mohammad Havaei, Alex Lamb, Aditya Sanghi, Ara Danielyan, Tonya Custis:
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders. - Yat Tin Chow, Fuqun Han, Jun Zou:
A Direct Sampling Method for Simultaneously Recovering Inhomogeneous Inclusions of Different Nature. - Yancheng Wang, Yang Xiao, Fu Xiong, Wenxiang Jiang, Zhiguo Cao, Joey Tianyi Zhou, Junsong Yuan:
3DV: 3D Dynamic Voxel for Action Recognition in Depth Video. - Rui Wang, Eliza Huang, Uma Chandrasekaran, Rose Yu:
Aortic Pressure Forecasting with Deep Sequence Learning. - Ion Madrazo Azpiazu, Maria Soledad Pera:
A Framework for Hierarchical Multilingual Machine Translation. - Mohammad Rami Koujan, Luma Alharbawee, Giorgos A. Giannakakis, Nicolas Pugeault, Anastasios Roussos:
Real-time Facial Expression Recognition "In The Wild" by Disentangling 3D Expression from Identity. - Jing Pan, Wendao Liu, Jing Zhou:
Benchmark Tests of Convolutional Neural Network and Graph Convolutional Network on HorovodRunner Enabled Spark Clusters. - David McAllester:
MathZero, The Classification Problem, and Set-Theoretic Type Theory. - Baani Leen Kaur Jolly, Palash Aggrawal, Amogh Gulati, Amarjit Singh Sethi, Ponnurangam Kumaraguru, Tavpritesh Sethi:
Psychometric Analysis and Coupling of Emotions Between State Bulletins and Twitter in India during COVID-19 Infodemic. - Doris E. M. Brown, Venkata Sriram Siddhardh Nadendla:
On Stackelberg Signaling and its Impact on Receiver's Trust in Personalized Recommender Systems. - Pawan Poojary, Randall Berry:
Observational Learning with Fake Agents. - Kaijie Xu, Witold Pedrycz, Zhiwu Li, Yinghui Quan, Weike Nie:
A Novel Granular-Based Bi-Clustering Method of Deep Mining the Co-Expressed Genes. - Hadrien Bride, Cheng-Hao Cai, Jin Song Dong, Rajeev Goré, Zhé Hóu, Brendan P. Mahony, Jim McCarthy:
N-PAT: A Nested Model-Checker. - Venkata Sriram Siddhardh Nadendla, Lav R. Varshney:
A Difficulty in Controlling Blockchain Mining Costs via Cryptopuzzle Difficulty. - Badreddine Benreguia, Hamouma Moumen, Mohammed Amine Merzoug:
Tracking COVID-19 by Tracking Infectious Trajectories. - Tomoki Hayashi, Shinji Watanabe:
DiscreTalk: Text-to-Speech as a Machine Translation Problem. - Fei Gao, Jingjie Zhu, Zeyuan Yu, Peng Li, Tao Wang:
Making Robots Draw A Vivid Portrait In Two Minutes. - Zizhang Wu, Weiwei Sun, Man Wang, Xiaoquan Wang, Lizhu Ding, Fan Wang:
PSDet: Efficient and Universal Parking Slot Detection. - Yuefeng Du, Huayi Duan, Anxin Zhou, Cong Wang, Man Ho Au, Qian Wang:
Towards Privacy-assured and Lightweight On-chain Auditing of Decentralized Storage. - Ivan Perov, Daiheng Gao, Nikolay Chervoniy, Kunlin Liu, Sugasa Marangonda, Chris Umé, Mr. Dpfks, Carl Shift Facenheim, Luis RP, Jian Jiang, Sheng Zhang, Pingyu Wu, Bo Zhou, Weiming Zhang:
DeepFaceLab: A simple, flexible and extensible face swapping framework. - Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin:
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. - Nicholas Kluge Corrêa, Nythamar de Oliveira:
Dynamic Models Applied to Value Learning in Artificial Intelligence. - Daming Cao, Yinfei Xu:
Characterizing Linear Memory-Rate Tradeoff of Coded Caching: The $(N, K)=(3, 3)$ Case. - Qiao Tian, Zewang Zhang, Heng Lu, Ling-Hui Chen, Shan Liu:
FeatherWave: An efficient high-fidelity neural vocoder with multi-band linear prediction. - Chengcheng Ma, Baoyuan Wu, Shibiao Xu, Yanbo Fan, Yong Zhang, Xiaopeng Zhang, Zhifeng Li:
Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients. - Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie:
Agglomerative Neural Networks for Multi-view Clustering. - Vu Hoang Linh, Ha Phi:
Index Reduction for Second Order Singular Systems of Difference Equations. - Hans L. Bodlaender, Josse van Dobben de Bruyn, Dion Gijswijt, Harry Smit:
Constructing Tree Decompositions of Graphs with Bounded Gonality. - Rakesh Chada:
Simultaneous paraphrasing and translation by fine-tuning Transformer models. - Abdulrahman Alzahrani, Ali Alshehri, Hani Alshahrani, Huirong Fu:
Ransomware in Windows and Android Platforms. - Vincenzo Ciancia, Diego Latella, Mieke Massink, Erik P. de Vink:
Towards Spatial Bisimilarity for Closure Models: Logical and Coalgebraic Characterisations. - Michal Bouska, Antonín Novák, Premysl Sucha, István Módos, Zdenek Hanzálek:
Data-driven Algorithm for Scheduling with Total Tardiness. - Deepanshu Vasal:
Existence of structured perfect Bayesian equilibrium in dynamic games of asymmetric information. - Dennis Gross, Nils Jansen, Guillermo A. Pérez, Stephan Raaijmakers:
Robustness Verification for Classifier Ensembles. - He Ma, Shidong Zhou, Xiujun Zhang, Limin Xiao:
Transmission Scheduling for Multi-loop Wireless Networked Control Based on LQ Cost Offset. - Bo Xu, Cheng Lu, Yandong Guo, Jacob Wang:
Discriminative Multi-modality Speech Recognition. - Guillaume Michel, Durgesh Haribhau Salunkhe, Damien Chablat, Philippe Bordure:
A new RCM mechanism for an ear and facial surgical application. - Barath Ashok, John Augustine, Aditya Mehekare, Sridhar Ragupathi, Srikkanth Ramachandran, Suman Sourav:
Guarding a Polygon Without Losing Touch. - Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Dongyan Zhao:
Neighborhood Matching Network for Entity Alignment. - Haitao Huang, Deli Qiao, Mustafa Cenk Gursoy:
Age-Energy Tradeoff in Fading Channels with Packet-Based Transmissions. - Mudita Sharma, Manuel López-Ibáñez, Dimitar Kazakov:
Unified Framework for the Adaptive Operator Selection of Discrete Parameters. - Carlos Roig, David Varas, Issey Masuda, Juan Carlos Riveiro, Elisenda Bou-Balust:
Unsupervised Multi-label Dataset Generation from Web Data. - Philipp H. Kindt, Trinad Chakraborty, Samarjit Chakraborty:
How Reliable is Smartphone-based Electronic Contact Tracing for COVID-19? - Gefei Zhang:
Specifying and Model Checking Workflows of Single Page Applications with TLA+. - Fabio Molinari, Navneet Agrawal, Slawomir Stanczak, Jörg Raisch:
Max-Consensus Over Fading Wireless Channels. - Nils Hulzebosch, Sarah Ibrahimi, Marcel Worring:
Detecting CNN-Generated Facial Images in Real-World Scenarios. - Hao Tian, Can Gao, Xinyan Xiao, Hao Liu, Bolei He, Hua Wu, Haifeng Wang, Feng Wu:
SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis. - Michael Moortgat, Mehrnoosh Sadrzadeh, Gijs Wijnholds:
A Frobenius Algebraic Analysis for Parasitic Gaps. - Zewang Zhang, Qiao Tian, Heng Lu, Ling-Hui Chen, Shan Liu:
AdaDurIAN: Few-shot Adaptation for Neural Text-to-Speech with DurIAN. - Max Schwarz, Sven Behnke:
Stillleben: Realistic Scene Synthesis for Deep Learning in Robotics. - Andrea Cangiani, Emmanuil H. Georgoulis, Oliver J. Sutton:
Adaptive non-hierarchical Galerkin methods for parabolic problems with application to moving mesh and virtual element methods. - Qingqing Li, Paavo Nevalainen, Jorge Peña Queralta, Jukka Heikkonen, Tomi Westerlund:
Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation. - Uli Fahrenberg, Axel Legay:
Featured Games. - Sven Buechel, Susanna Rücker, Udo Hahn:
Learning and Evaluating Emotion Lexicons for 91 Languages. - Panagiotis Charalampopoulos, Tomasz Kociumaka, Manal Mohamed, Jakub Radoszewski, Wojciech Rytter, Juliusz Straszynski, Tomasz Walen, Wiktor Zuba:
Counting Distinct Patterns in Internal Dictionary Matching. - Fan Yin, Quanyu Long, Tao Meng, Kai-Wei Chang:
On the Robustness of Language Encoders against Grammatical Errors. - Xinting Zhu, Lishuai Li:
Improved Flight Time Predictions for Fuel Loading Decisions of Scheduled Flights with a Deep Learning Approach. - Darren Edge, Weiwei Yang, Harry Cook, Claire Galez-Davis, Hannah Darnton, Kate Lytvynets, Christopher M. White:
Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking. - Ekaterina Kochmar, Sian Gooding, Matthew Shardlow:
Detecting Multiword Expression Type Helps Lexical Complexity Assessment. - Thomas Kurbiel, Shahrzad Khaleghian:
RetinotopicNet: An Iterative Attention Mechanism Using Local Descriptors with Global Context. - Dania Humaidan, Sebastian Otte, Martin V. Butz:
Fostering Event Compression using Gated Surprise. - Sofiane Horache, Jean-Emmanuel Deschaud, François Goulette, Katherine Gruel, Thierry Lejars:
Automatic clustering of Celtic coins based on 3D point cloud pattern analysis. - Danila Rukhovich, Konstantin Sofiiuk, Danil Galeev, Olga Barinova, Anton Konushin:
IterDet: Iterative Scheme for ObjectDetection in Crowded Environments. - Gautam Kishore Shahi, Anne Dirkson, Tim A. Majchrzak:
An Exploratory Study of COVID-19 Misinformation on Twitter. - Ramon Fraga Pereira:
Goal Recognition over Imperfect Domain Models. - Blaz Skrlj, Nika Erzen, Shane Sheehan, Saturnino Luz, Marko Robnik-Sikonja, Senja Pollak:
AttViz: Online exploration of self-attention for transparent neural language modeling. - Antonin Raffin, Freek Stulp:
Generalized State-Dependent Exploration for Deep Reinforcement Learning in Robotics. - Quratul-ain Mahesar, Nir Oren, Wamberto Weber Vasconcelos:
Preference Elicitation in Assumption-Based Argumentation. - An Mo, Fabio Izzi, Daniel F. B. Haeufle, Alexander Badri-Spröwitz:
Effective Viscous Damping Enables Morphological Computation in Legged Locomotion. - Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun, Xiaodan Zhu:
Dynamic Memory Induction Networks for Few-Shot Text Classification. - Kaian Chen, Zhaojian Li, Wei-Che Tai, Kai Wu, Yan Wang:
MPC-based Vibration Control and Energy Harvesting Using an Electromagnetic Vibration Absorber With Inertia Nonlinearity. - Kfir Aberman, Peizhuo Li, Dani Lischinski, Olga Sorkine-Hornung, Daniel Cohen-Or, Baoquan Chen:
Skeleton-Aware Networks for Deep Motion Retargeting. - Marsha Berger, Andrew Giuliani:
A state redistribution algorithm for finite volume schemes on cut cell meshes. - Adriana Fernandes, Rodrigo Ventura:
Human-Robot Collaboration in Microgravity: The Object Handover Problem. - Antonio Toral:
Reassessing Claims of Human Parity and Super-Human Performance in Machine Translation at WMT 2019. - Yitian Li, Ruini Xue, Mengmeng Zhu, Qing Xu, Zenglin Xu:
ReadNet: Towards Accurate ReID with Limited and Noisy Samples. - Ertan Kazikli, Sinan Gezici, Serdar Yüksel:
Quadratic Privacy-Signaling Games, Payoff Dominant Equilibria and the Information Bottleneck Problem. - Jürgen Schmidhuber:
Deep Learning: Our Miraculous Year 1990-1991. - Rashidah Kasauli, Rebekka Wohlrab, Eric Knauss, Jan-Philipp Steghöfer, Jennifer Horkoff, Salome Maro:
Charting Coordination Needs in Large-Scale Agile Organisationswith Boundary Objects and Methodological Islands. - George Adam, Romain Speciel:
Evaluating Ensemble Robustness Against Adversarial Attacks. - Kfir Aberman, Yijia Weng, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen:
Unpaired Motion Style Transfer from Video to Animation. - Yi Liu, Jialiang Peng, Jiawen Kang, Abdullah M. Iliyasu, Dusit Niyato, Ahmed A. Abd El-Latif:
A Secure Federated Learning Framework for 5G Networks. - Angrosh Mandya, James O'Neill, Danushka Bollegala, Frans Coenen:
Do not let the history haunt you - Mitigating Compounding Errors in Conversational Question Answering. - Runbin Shi, Peiyan Dong, Tong Geng, Yuhao Ding, Xiaolong Ma, Hayden Kwok-Hay So, Martin C. Herbordt, Ang Li, Yanzhi Wang:
CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks. - Pedro Moura, Greta K. W. Yu, Javad Mohammadi:
Management of Electric Vehicles as Flexibility Resource for Optimized Integration of Renewable Energy with Large Buildings. - Hongming Zhang, Xinran Zhao, Yangqiu Song:
WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge. - Cyrille Chenavier, Maxime Lucas:
Strategies for linear rewriting systems: link with parallel rewriting and involutive divisions. - Jaekeol Choi, Jungin Choi, Wonjong Rhee:
Interpreting Neural Ranking Models using Grad-CAM. - Yunhao Yang, Andrew Tan:
Approximating Boolean Functions with Disjunctive Normal Form. - Jun Hu, Hua Wang:
Finite Element Methods For Interface Problems On Local Anisotropic Fitting Mixed Meshes. - Xiyang Liu, Jie Yang, Wenrui Ding:
Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting. - Axel Barroso Laguna, Yannick Verdie, Benjamin Busam, Krystian Mikolajczyk:
HDD-Net: Hybrid Detector Descriptor with Mutual Interactive Learning. - Xinlian Yu, Tien Mai, Jing Ding-Mastera, Song Gao, Emma Frejinger:
Modeling Route Choice with Real-Time Information: Comparing the Recursive and Non-Recursive Models. - Elsa Dupraz, François Leduc-Primeau:
Noisy Density Evolution With Asymmetric Deviation Models. - Maheshwar Prasad Sah, Ram Kaji Budhathoki:
Memristive Model of Excitable Cells. - Neri Merhav, Igal Sason:
Some Useful Integral Representations for Information-Theoretic Analyses. - Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou, Ting Liu:
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension. - Lucas Baier, Josua Reimold, Niklas Kühl:
Handling Concept Drift for Predictions in Business Process Mining. - Alexey Kuznetsov, Justin Miles:
On the rate of convergence of the Gaver-Stehfest algorithm. - Debanjan Ghosh, Avijit Vajpayee, Smaranda Muresan:
A Report on the 2020 Sarcasm Detection Shared Task. - Aditya Milind Deshpande, Ali A. Minai, Manish Kumar:
One-Shot Recognition of Manufacturing Defects in Steel Surfaces. - Wangtao Lu:
Mathematical analysis of wave radiation by a step-like surface. - Márcio J. Lacerda, Cristiano M. Agulhari:
Stability analysis of discrete-time LPV switched systems. - Justin Grana:
Perturbing Inputs to Prevent Model Stealing. - Aysan Aghazadeh, Maryam Amirmazlaghani:
A Novel Distributed Approximate Nearest Neighbor Method for Real-time Face Recognition. - Zilong Wang, Guang Gong:
Constructions of complementary sequence sets and complete complementary codes by 2-level autocorrelation sequences and permutation polynomials. - Igor Sfiligoi, Daniel McDonald, Rob Knight:
Porting and optimizing UniFrac for GPUs. - Eduardo R. Miranda:
Creative Quantum Computing: Inverse FFT, Sound Synthesis, Adaptive Sequencing and Musical Composition. - Igor Sfiligoi:
Demonstrating 100 Gbps in and out of the public Clouds. - Yu Wang, Rong Ge, Shuang Qiu:
Energy-Aware DNN Graph Optimization. - Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang:
Bayesian Fusion for Infrared and Visible Images. - Matteo Iovino, Edvards Scukins, Jonathan Styrud, Petter Ögren, Christian Smith:
A Survey of Behavior Trees in Robotics and AI. - Yuan Sun, Andreas T. Ernst, Xiaodong Li, Jake Weiner:
Generalization of Machine Learning for Problem Reduction: A Case Study on Travelling Salesman Problems. - Quratul-ain Mahesar, Simon Parsons:
Argument Schemes for Explainable Planning. - Enrico Meli, Benedetta Morini, Margherita Porcelli, Cristina Sgattoni:
Solving nonlinear systems of equations via spectral residual methods: stepsize selection and applications. - Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrón-Cedeño, Preslav Nakov:
Prta: A System to Support the Analysis of Propaganda Techniques in the News. - Andong Li, Chengshi Zheng, Renhua Peng, Linjuan Cheng, Xiaodong Li:
The IOA System for Deep Noise Suppression Challenge using a Framework Combining Dynamic Attention and Recursive Learning. - Philipe A. Dias, Henry Medeiros:
Probabilistic Semantic Segmentation Refinement by Monte Carlo Region Growing. - Zhichao Lu, Gautam Sreekumar, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Neural Architecture Transfer. - Junwei Zang, Vahid Towhidlou, Mohammad Shikh-Bahaei:
A Priority-Based Cross-Layer Design for Future VANETs through Full-Duplex Technology. - Laurent Feuilloley, Pierre Fraigniaud, Ivan Rapaport, Eric Rémila, Pedro Montealegre, Ioan Todinca:
Compact Distributed Certification of Planar Graphs. - Wenyu Du, Zhouhan Lin, Yikang Shen, Timothy J. O'Donnell, Yoshua Bengio, Yue Zhang:
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach. - Selim Firat Yilmaz, Suleyman Serdar Kozat:
Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization. - Neil Getty, Zixuan Zhou, Stephan Gruessner, Liaohai Chen, Fangfang Xia:
Recurrent and Spiking Modeling of Sparse Surgical Kinematics. - Harald Servat, Jesús Labarta, Hans-Christian Hoppe, Judit Giménez, Antonio J. Peña:
Understanding Memory Access Patterns Using the BSC Performance Tools. - Rajarshi Bhattacharjee, Abhishek Sinha:
Competitive Algorithms for Minimizing the Maximum Age-of-Information. - Tania Panayiotou, Georgios Ellinas:
Fair Resource Allocation in Optical Networks under Tidal Traffic. - Shan Gu, Jianjiang Feng, Jiwen Lu, Jie Zhou:
Latent Fingerprint Registration via Matching Densely Sampled Points. - Ashley E. Walton, Linda M. Collins, Predrag V. Klasnja, Inbal Nahum-Shani, Mashfiqui Rabbi, Maureen A. Walton, Susan A. Murphy:
The Micro-Randomized Trial for Developing Digital Interventions: Experimental Design Considerations. - Adam Chang:
Networks in a World Unknown: Public WhatsApp Groups in the Venezuelan Refugee Crisis. - Diego Calvanese, Julien Corman, Davide Lanti, Simon Razniewski:
Counting Query Answers over a DL-Lite Knowledge Base (extended version). - Ankush Chakrabarty, Mouhacine Benosman:
Safe Learning-based Observers for Unknown Nonlinear Systems using Bayesian Optimization. - Borja Rodríguez Gálvez, Germán Bassi, Mikael Skoglund:
Upper Bounds on the Generalization Error of Private Algorithms. - Wayne Isaac Tan Uy, Benjamin Peherstorfer:
Probabilistic error estimation for non-intrusive reduced models learned from data of systems governed by linear parabolic partial differential equations. - Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes:
Active Inference for Integrated State-Estimation, Control, and Learning. - Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang:
Efficient and Interpretable Infrared and Visible Image Fusion Via Algorithm Unrolling. - Takayuki Katsuki, Kun Zhao, Takayuki Yoshizumi:
Learning to Estimate Driver Drowsiness from Car Acceleration Sensors using Weakly Labeled Data. - Ricard Borrell, Damien Dosimont, Marta Garcia-Gasulla, Guillaume Houzeaux, Oriol Lehmkuhl, V. Mehta, Herbert Owen, Mariano Vázquez, Guillermo Oyarzun:
Heterogeneous CPU/GPU co-execution of CFD simulations on the POWER9 architecture: Application to airplane aerodynamics. - Leen Lambers, Fernando Orejas:
Initial Conflicts for Transformation Rules with Nested Application Conditions. - Uma Zalakain, Ornela Dardha:
π with leftovers: a mechanisation in Agda. - Mohammed Al Mugahwi, Omar De la Cruz Cabrera, Silvia Noschese, Lothar Reichel:
Functions and eigenvectors of partially known matrices with applications to network analysis. - Sandra Wachter, Brent D. Mittelstadt, Chris Russell:
Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI. - Stefan Hoffmann:
Constraint Synchronization with Two or Three State Partial Constraint Automata. - John X. Morris, Eli Lifland, Jin Yong Yoo, Yanjun Qi:
TextAttack: A Framework for Adversarial Attacks in Natural Language Processing. - Sergio Iserte, Rafael Mayo, Enrique S. Quintana-Ortí, Vicenç Beltran, Antonio J. Peña:
DMR API: Improving cluster productivity by turning applications into malleable. - Benjamin Harsha, Jeremiah Blocki:
An Economic Model for Quantum Key-Recovery Attacks against Ideal Ciphers. - Julian Nagele, Maria Anna Schett:
Blockchain Superoptimizer. - Robin Benarrouch, Ali Moin, Flavien Solt, Antoine Frappé, Andreia Cathelin, Andreas Kaiser, Jan M. Rabaey:
Heartbeat-Based Synchronization Scheme for the Human Intranet: Modeling and Analysis. - Jae-Yeon Kim, Carlos Ortiz, Sarah Nam, Sarah Santiago, Vivek Datta:
Intersectional Bias in Hate Speech and Abusive Language Datasets. - Marco Matarese, Silvia Rossi, Alessandra Sciutti, Francesco Rea:
Towards Transparency of TD-RL Robotic Systems with a Human Teacher. - Ruiqi Zhong, Mitchell Stern, Dan Klein:
Semantic Scaffolds for Pseudocode-to-Code Generation. - Arnas Uselis, Mantas Lukosevicius, Lukas Stasytis:
Localized convolutional neural networks for geospatial wind forecasting. - Norine Coenen, Bernd Finkbeiner, Christopher Hahn, Jana Hofmann:
The Hierarchy of Hyperlogics. - Lindsay M. Sanneman, Julie A. Shah:
Trust Considerations for Explainable Robots: A Human Factors Perspective. - Sneha Aenugu:
Training spiking neural networks using reinforcement learning. - Akram El-Korashy, Stelios Tsampas, Marco Patrignani, Dominique Devriese, Deepak Garg, Frank Piessens:
CapablePtrs: Securely Compiling Partial Programs using the Pointers-as-Capabilities Principle. - Charlott Vallon, Francesco Borrelli:
Data-Driven Hierarchical Predictive Learning in Unknown Environments. - Rahul Kidambi, Aravind Rajeswaran, Praneeth Netrapalli, Thorsten Joachims:
MOReL : Model-Based Offline Reinforcement Learning. - Junaed Younus Khan, Md. Tawkat Islam Khondaker, Iram Tazim Hoque, Hamada R. H. Al-Absi, Mohammad Saifur Rahman, Tanvir Alam, M. Sohel Rahman:
COVID-19Base: A knowledgebase to explore biomedical entities related to COVID-19. - Rohun Tripathi, Bharat Singh:
RSO: A Gradient Free Sampling Based Approach For Training Deep Neural Networks. - David Jaz Myers:
Double Categories of Open Dynamical Systems (Extended Abstract). 154-167 - Rafael Valle, Kevin J. Shih, Ryan Prenger, Bryan Catanzaro:
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis. - Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak:
Planning to Explore via Self-Supervised World Models. - Varun Narayanan, Manoj Mishra, Vinod M. Prabhakaran:
Private Two-Terminal Hypothesis Testing. - Xin-Long Luo, Jia-hui Lv, Geng Sun:
Continuation Method with the Trust-region Time-stepping Scheme for Linearly Constrained Optimization with Noise Data. - Vladimir N. Temlyakov:
Sampling discretization of integral norms of the hyperbolic cross polynomials. - Ranggi Hwang, Taehun Kim, Youngeun Kwon, Minsoo Rhu:
Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations. - Ankush Das, Frank Pfenning:
Session Types with Arithmetic Refinements. - Huibo Wang, Mingshen Sun, Qian Feng, Pei Wang, Tongxin Li, Yu Ding:
Towards Memory Safe Python Enclave for Security Sensitive Computation. - Sourya Dipta Das, Saikat Dutta:
Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing. - Adrián Navas-Montilla, Ilhan Özgen-Xian:
Augmented resolution of linear hyperbolic systems under nonconservative form. - David Saffo, Aristotelis Leventidis, Twinkle Jain, Michelle A. Borkin, Cody Dunne:
Data Comets: Designing a Visualization Tool for Analyzing Autonomous Aerial Vehicle Logs with Grounded Evaluation. - Muhammad Abdul-Mageed, AbdelRahim A. Elmadany, Dinesh Pabbi, Kunal Verma, Rannie Lin:
Mega-COV: A Billion-Scale Dataset of 65 Languages For COVID-19. - David Saffo, Sara Di Bartolomeo, Caglar Yildirim, Cody Dunne:
Two Dimensions for Organizing Immersive Analytics: Toward a Taxonomy for Facet and Position. - Saiph Savage, Chun-Wei Chiang, Susumu Saito, Carlos Toxtli, Jeffrey P. Bigham:
Becoming the Super Turker: Increasing Wages via a Strategy from High Earning Workers. - Carlos Toxtli, Angela Richmond-Fuller, Saiph Savage:
Reputation Agent: Prompting Fair Reviews in Gig Markets. - Wenjie Li, Benedetta Tondi, Rongrong Ni, Mauro Barni:
Increased-confidence adversarial examples for improved transferability of Counter-Forensic attacks. - Michael Kuperberg:
Enabling Deletion in Append-Only Blockchains (Short Summary / Work in Progress). - Benjamin Wu, Aaron B. Wagner, G. Edward Suh, Ibrahim Issa:
Strong Asymptotic Composition Theorems for Sibson Mutual Information. - Christoph Reisinger, Wolfgang Stockinger:
An adaptive Euler-Maruyama scheme for McKean SDEs with super-linear growth and application to the mean-field FitzHugh-Nagumo model. - Chen Zheng, Quan Guo, Parisa Kordjamshidi:
Cross-Modality Relevance for Reasoning on Language and Vision. - Aditya Milind Deshpande, Anil Kumar Telikicherla, Vinay Jakkali, David A. Wickelhaus, Manish Kumar, Sam Anand:
Computer Vision Toolkit for Non-invasive Monitoring of Factory Floor Artifacts. - Krishna Somandepalli, Shrikanth Narayanan:
Generalized Multi-view Shared Subspace Learning using View Bootstrapping. - Sara Di Bartolomeo, Aditeya Pandey, Aristotelis Leventidis, David Saffo, Uzma Haque Syeda, Elín Carstensdóttir, Magy Seif El-Nasr, Michelle A. Borkin, Cody Dunne:
Evaluating the Effect of Timeline Shape on Visualization Task Performance. - Hui Ding, Peng Zhou, Rama Chellappa:
Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition. - Brandon Houghton, Stephanie Milani, Nicholay Topin, William H. Guss, Katja Hofmann, Diego Perez Liebana, Manuela Veloso, Ruslan Salakhutdinov:
Guaranteeing Reproducibility in Deep Learning Competitions. - Tarek Elgamal, Klara Nahrstedt:
Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves. - Neeldhara Misra, Harshil Mittal, Aditi Sethia:
Red-Blue Point Separation for Points on a Circle. - Yixiong Zou, Shanghang Zhang, Ke Chen, José M. F. Moura, Yaowei Wang, Yonghong Tian:
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing. - Marvin Klingner, Andreas Bär, Philipp Donn, Tim Fingscheidt:
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels. - Lucy Simko, Ryan Calo, Franziska Roesner, Tadayoshi Kohno:
COVID-19 Contact Tracing and Privacy: Studying Opinion and Preferences. - Salomon Eisler, Joachim Meyer:
Visual Analytics and Human Involvement in Machine Learning. - Shaden Shaar, Giovanni Da San Martino, Nikolay Babulkov, Preslav Nakov:
That is a Known Lie: Detecting Previously Fact-Checked Claims. - Carlo Lipizzi, Dario Borrelli, Fernanda de Oliveira Capela:
A computational model implementing subjectivity with the 'Room Theory'. The case of detecting Emotion from Text. - Marius Buliga:
Artificial life properties of directed interaction combinators vs. chemlambda. - Zhao-Heng Yin, Wu-Jun Li:
TOMA: Topological Map Abstraction for Reinforcement Learning. - Tugba Erpek, Timothy J. O'Shea, Yalin E. Sagduyu, Yi Shi, T. Charles Clancy:
Deep Learning for Wireless Communications. - Ali Hürriyetoglu, Vanni Zavarella, Hristo Tanev, Erdem Yörük, Ali Safaya, Osman Mutlu:
Automated Extraction of Socio-political Events from News (AESPEN): Workshop and Shared Task Report. - Timon S. Gutleb, Norbert J. Mauser, Michele Ruggeri, Hans Peter Stimming:
A time splitting method for the three-dimensional linear Pauli equation. - ElMouatez Billah Karbab, Mourad Debbabi, Abdelouahid Derhab, Djedjiga Mouheb:
Android Malware Clustering using Community Detection on Android Packages Similarity Network. - Timon S. Gutleb:
A fast sparse spectral method for nonlinear integro-differential Volterra equations with general kernels. - Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen J. Wright, David Page:
Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. - Kyle Chard, Niall Gaffney, Mihael Hategan, Kacper Kowalik, Bertram Ludäscher, Timothy M. McPhillips, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Thomas Thelen, Matthew J. Turk, Craig Willis:
Toward Enabling Reproducibility for Data-Intensive Research using the Whole Tale Platform. - Paolo Valdez:
Apple Defect Detection Using Deep Learning Based Object Detection For Better Post Harvest Handling. - Yang Ren, Gregory Gay, Christian Kästner, Pooyan Jamshidi:
Understanding the Nature of System-Related Issues in Machine Learning Frameworks: An Exploratory Study. - Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou:
Adaptive Double-Exploration Tradeoff for Outlier Detection. - Assimakis Kattis, Fabian Trottner:
Stabilizing Congestion in Decentralized Record-Keepers. - Masoud Bahraini, Mario Zanon, Paolo Falcone, Alessandro Colombo:
Robust Control Invariance and Communication Scheduling in Lossy Wireless Networked Control Systems. - Cheng Lu:
Structure and Algorithm for Path of Solutions to a Class of Fused Lasso Problems. - Leeor Peled, Uri C. Weiser, Yoav Etsion:
Semantic prefetching using forecast slices. - Han Cha, Jihong Park, Hyesung Kim, Mehdi Bennis, Seong-Lyun Kim:
Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning. - Ali Borji:
Adversarial examples are useful too! - Yen-Chia Hsu, Ting-Hao K. Huang, Ting-Yao Hu, Paul Dille, Sean Prendi, Ryan Hoffman, Anastasia Tsuhlares, Randy Sargent, Illah R. Nourbakhsh:
RISE Video Dataset: Recognizing Industrial Smoke Emissions. - Alex Boyd, Raul Puri, Mohammad Shoeybi, Mostofa Patwary, Bryan Catanzaro:
Large Scale Multi-Actor Generative Dialog Modeling. - Erika Ábrahám, Ezio Bartocci, Borzoo Bonakdarpour, Oyendrila Dobe:
Probabilistic Hyperproperties with Nondeterminism. - Vivek Gupta, Maitrey Mehta, Pegah Nokhiz, Vivek Srikumar:
INFOTABS: Inference on Tables as Semi-structured Data. - Shunsuke Horii:
Improved Computation-Communication Trade-Off for Coded Distributed Computing using Linear Dependence of Intermediate Values. - Ming-Chang Chiu, Tiantian Feng, Xiang Ren, Shrikanth Narayanan:
Screenplay Quality Assessment: Can We Predict Who Gets Nominated? - Xi Zhong, Minquan Cheng, Ruizhong Wei:
A Framework for Constructing Centralized Coded Caching Schemes via Hamming Distance. - Massimo Candela, Valerio Luconi, Alessio Vecchio:
Impact of the COVID-19 pandemic on the Internet latency: a large-scale study. - Zhiliang Tian, Wei Bi, Dongkyu Lee, Lanqing Xue, Yiping Song, Xiaojiang Liu, Nevin L. Zhang:
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation. - Sainyam Galhotra, Behzad Golshan, Wang-Chiew Tan:
Adaptive Rule Discovery for Labeling Text Data. - Shunkai Li, Xin Wang, Yingdian Cao, Fei Xue, Zike Yan, Hongbin Zha:
Self-Supervised Deep Visual Odometry with Online Adaptation. - Masih Haseli, Jorge Cortés:
Parallel Learning of Koopman Eigenfunctions and Invariant Subspaces For Accurate Long-Term Prediction. - Yu Lu, Deliang Wang, Qinggang Meng, Penghe Chen:
Towards Interpretable Deep Learning Models for Knowledge Tracing. - Karan Nayak:
Using Genetic Algorithm To Evolve Cellular Automata In Performing Edge Detection. - Mi Tian, Qiong Nie, Hao Shen:
3D Scene Geometry-Aware Constraint for Camera Localization with Deep Learning. - Tianye Shu, Ziqi Wang, Jialin Liu, Xin Yao:
A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros. - Yaxin Li, Wei Jin, Han Xu, Jiliang Tang:
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses. - Robert W. Gardner, Lincoln Bryant, Mark S. Neubauer, Frank Würthwein, Judith Stephen, Andrew A. Chien:
The Scalable Systems Laboratory: a Platform for Software Innovation for HEP. - Qiaojun Shu, Guohui Lin, Eiji Miyano:
Acyclic edge coloring conjecture is true on planar graphs without intersecting triangles. - Timothy L. Molloy, Jason J. Ford, Tristan Perez:
Online Inverse Optimal Control for Control-Constrained Discrete-Time Systems on Finite and Infinite Horizons. - Sharad Mehrotra, Shantanu Sharma, Jeffrey D. Ullman, Dhrubajyoti Ghosh, Peeyush Gupta:
Panda: Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data. - Yaonan Jin, Daogao Liu, Zhao Song:
A robust multi-dimensional sparse Fourier transform in the continuous setting. - Hang Shuai, Haibo He, Jinyu Wen:
Online Scheduling of a Residential Microgrid via Monte-Carlo Tree Search and a Learned Model. - Boliang Zhang, Ajay Nagesh, Kevin Knight:
Parallel Corpus Filtering via Pre-trained Language Models. - Steffen Meinecke, Leon Thurner, Martin Braun:
Review and Classification of Published Electric Steady-State Power Distribution System Models. - Kristian Miok, Dong Nguyen Doan, Marko Robnik-Sikonja, Daniela Zaharie:
Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders. - Manh Duong Phung, Thanh Van Thi Nguyen, Thuan Hoang Tran, Quang Vinh Tran:
Stabilization control of networked mobile robot using past observation-based preditive filter. - Thuan Hoang Tran, Manh Duong Phung, Anh Viet Dang, Quang Vinh Tran:
Using multiple sensors for autonomous mobile robot navigation. - Thanh Van Thi Nguyen, Manh Duong Phung, Quang Vinh Tran:
Robust asymptotic stability of two-wheels differential drive mobile robot. - Chaoran Zhuge, Yujie Peng, Yadong Li, Jiangbo Ai, Junru Chen:
Attribute-guided Feature Extraction and Augmentation Robust Learning for Vehicle Re-identification. - Prince Anokye, Roger Kwao Ahiadormey, Han-Shin Jo, Chang-Ick Song, Kyoung-Jae Lee:
Low-Resolution ADC Quantized Full-Duplex Massive MIMO-Enabled Wireless Backhaul in Heterogeneous Networks Over Rician Channels. - Abolfazl Lavaei, Mahmoud Khaled, Sadegh Soudjani, Majid Zamani:
AMYTISS: Parallelized Automated Controller Synthesis for Large-Scale Stochastic Systems. - Kevin Tolle, Nicole Marheineke:
Extended Group Finite Element Method. - Isac Arnekvist, J. Frederico Carvalho, Danica Kragic, Johannes A. Stork:
The effect of Target Normalization and Momentum on Dying ReLU. - Carlos Arango Duque, Olivier Alata, Rémi Emonet, Hubert Konik, Anne-Claire Legrand:
Mean Oriented Riesz Features for Micro Expression Classification. - Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia:
On the uncertainty of self-supervised monocular depth estimation. - Zhenyu Zhang, Anas Chaaban, Mohamed-Slim Alouini:
Residual Clipping Noise in Multi-layer Optical OFDM: Modeling, Analysis, and Application. - Simon Gog, Giulio Ermanno Pibiri, Rossano Venturini:
Efficient and Effective Query Auto-Completion. - Onur Tasar, Alain Giros, Yuliya Tarabalka, Pierre Alliez, Sébastien Clerc:
DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images. - Stéphane Doncieux, Nicolas Bredèche, Leni K. Le Goff, Benoît Girard, Alexandre Coninx, Olivier Sigaud, Mehdi Khamassi, Natalia Díaz Rodríguez, David Filliat, Timothy M. Hospedales, A. E. Eiben, Richard J. Duro:
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics. - Stéphane Doncieux, Giuseppe Paolo, Alban Laflaquière, Alexandre Coninx:
Novelty Search makes Evolvability Inevitable. - Federico Della Croce, Marco Ghirardi, Rosario Scatamacchia:
An improved solution approach for the Budget constrained Fuel Treatment Scheduling problem. - Flavio Cirillo, Nicola Capuano, Simon Pietro Romano, Ernö Kovacs:
LIoTS: League of IoT Sovereignties. A Scalable approach for a Transparent Privacy-safe Federation of Secured IoT Platforms. - Clara Schneidewind, Ilya Grishchenko, Markus Scherer, Matteo Maffei:
eThor: Practical and Provably Sound Static Analysis of Ethereum Smart Contracts. - Hridoy Sankar Dutta, Mayank Jobanputra, Himani Negi, Tanmoy Chakraborty:
Detecting and analyzing collusive entities on YouTube. - Omid Askarisichani, Ambuj K. Singh, Francesco Bullo, Noah E. Friedkin:
The 1995-2018 Global Evolution of the Network of Amicable and Hostile Relations Among Nation-States. - Erika Puiutta, Eric M. S. P. Veith:
Explainable Reinforcement Learning: A Survey. - Zhuosheng Zhang, Hai Zhao, Rui Wang:
Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond. - Shengyu Jia, Tao Meng, Jieyu Zhao, Kai-Wei Chang:
Mitigating Gender Bias Amplification in Distribution by Posterior Regularization. - P. N. Karthik, Rajesh Sundaresan:
Detecting an Odd Restless Markov Arm with a Trembling Hand. - Johannes Stegmann:
MeSH descriptors indicate the knowledge growth in the SARS-CoV-2/COVID-19 pandemic. - Luca Cardelli, Gal Shahaf, Ehud Shapiro, Nimrod Talmon:
Digital Social Contracts: A Foundation for an Egalitarian and Just Digital Society. - Lucas Brynte, Fredrik Kahl:
Pose Proposal Critic: Robust Pose Refinement by Learning Reprojection Errors. - Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof:
Learning linear modules in a dynamic network using regularized kernel-based methods. - Stephan Nüßlein, Hendrik Ranocha, David I. Ketcheson:
Positivity-Preserving Adaptive Runge-Kutta Methods. - Ondrej Benedikt, Premysl Sucha, Zdenek Hanzálek:
On Idle Energy Consumption Minimization in Production: Industrial Example and Mathematical Model. - Aleksey K. Alekseev, Alexander E. Bondarev:
On the relation of truncation and approximation errors for the set of solutions obtained by different numerical methods. - Neng-Fa Zhou:
Yet Another Comparison of SAT Encodings for the At-Most-K Constraint. - Hadi Abdi Khojasteh:
A Survey on Patch-based Synthesis: GPU Implementation and Optimization. - Hamid Jahanian, David Parker, Marc Zeller, Annabelle McIver, Yiannis Papadopoulos:
Failure Mode Reasoning in Model Based Safety Analysis. - Sudipto Mukherjee, Subhabrata Mukherjee, Marcello Hasegawa, Ahmed Hassan Awadallah, Ryen White:
Smart To-Do : Automatic Generation of To-Do Items from Emails. - Evgeny M. Mirkes:
Artificial Neural Network Pruning to Extract Knowledge. - Stefan Göller, Pawel Parys:
Bisimulation Finiteness of Pushdown Systems Is Elementary. - Viktorija Paneva, Myroslav Bachynskyi, Jörg Müller:
Levitation Simulator: Prototyping Ultrasonic Levitation Interfaces in Virtual Reality. - Viktorija Paneva, Sofia Seinfeld, Michael Kraiczi, Jörg Müller:
HaptiRead: Reading Braille as Mid-Air Haptic Information. - Anastasia Dimou:
R2RML and RML Comparison for RDF Generation, their Rules Validation and Inconsistency Resolution. - Vince Bárány, Michael Benedikt, Balder ten Cate:
Some Model Theory of Guarded Negation. - Myroslav Bachynskyi, Viktorija Paneva, Jörg Müller:
LeviCursor: Dexterous Interaction with a Levitating Object. - Alexander Novotny, Sarah Spiekermann:
Oblivion of Online Reputation: How Time Cues Improve Online Recruitment. - Jens Peter Andersen, Mathias Wullum Nielsen, Nicole L. Simone, Resa E. Lewiss, Reshma Jagsi:
Meta-Research: Is Covid-19 Amplifying the Authorship Gender Gap in the Medical Literature? - Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen:
Binarizing MobileNet via Evolution-based Searching. - Zhiyi Huang, Zhihao Gavin Tang, Xiaowei Wu, Yuhao Zhang:
Fully Online Matching II: Beating Ranking and Water-filling. - Guoshun Nan, Zhijiang Guo, Ivan Sekulic, Wei Lu:
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction. - Diego Lentner, Gerhard Kramer:
Stealth Communication with Vanishing Power over Binary Symmetric Channels. - Masanobu Horie, Naoki Morita, Yu Ihara, Naoto Mitsume:
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks. - Charlotte Frenkel, Jean-Didier Legat, David Bol:
A 28-nm Convolutional Neuromorphic Processor Enabling Online Learning with Spike-Based Retinas. - Robert Altmann, Barbara Verfürth:
A multiscale method for heterogeneous bulk-surface coupling. - Sarah Spiekermann, Alexander Novotny:
A vision for global privacy bridges: Technical and legal measures for international data markets. - Urban Larsson, Reshef Meir, Yair Zick:
Cumulative Games: Who is the current player? - Aleksander Kedzierski, Jakub Radoszewski:
k-Approximate Quasiperiodicity under Hamming and Edit Distance. - Anna Wróblewska, Jacek Dabrowski, Michal Pastuszak, Andrzej Michalowski, Michal Daniluk, Barbara Rychalska, Mikolaj Wieczorek, Sylwia Sysko-Romanczuk:
Multi-modal Embedding Fusion-based Recommender. - Pedro Valero-Lara, Raül Sirvent, Antonio J. Peña, Jesús Labarta:
MPI+OpenMP Tasking Scalability for Multi-Morphology Simulations of the Human Brain. - Keigo Imai, Rumyana Neykova, Nobuko Yoshida, Shoji Yuen:
Multiparty Session Programming with Global Protocol Combinators. - Stefan Lenz, Maren Hackenberg, Harald Binder:
The JuliaConnectoR: a functionally oriented interface for integrating Julia in R. - Everaldo Andrade, Kevin Veloso, Nathália Vasconcelos, Aldri Santos, Fernando Matos:
Cooperative Monitoring and Dissemination of Urban Events Supported by Dynamic Clustering of Vehicles. - Alessandro Galeazzi, Matteo Cinelli, Giovanni Bonaccorsi, Francesco Pierri, Ana Lucía Schmidt, Antonio Scala, Fabio Pammolli, Walter Quattrociocchi:
Human Mobility in Response to COVID-19 in France, Italy and UK. - Alexander BI. arvinok:
A remark on approximating permanents of positive definite matrices. - Isaac Matthews, John C. Mace, Sadegh Soudjani, Aad van Moorsel:
Cyclic Bayesian Attack Graphs: A Systematic Computational Approach. - Paulo Silva, David Vavricka, João Barreto, Miguel Matos:
Impact of Geo-distribution and Mining Pools on Blockchains: A Study of Ethereum. - Vicent Giménez Alventosa, Germán Moltó Martínez, J. Damian Segrelles Quilis:
RUPER-LB: Load balancing embarrasingly parallel applications in unpredictable cloud environments. - Dominik Thalmeier, Hilbert J. Kappen, Simone Totaro, Vicenç Gómez:
Adaptive Smoothing Path Integral Control. - Mayalen Etcheverry, Pierre-Yves Oudeyer, Chris Reinke:
Progressive growing of self-organized hierarchical representations for exploration. - Tomer Wullach, Amir Adler, Einat Minkov:
Towards Hate Speech Detection at Large via Deep Generative Modeling. - Petros Stavropoulos, Dimitris Pappas, Ion Androutsopoulos, Ryan T. McDonald:
BIOMRC: A Dataset for Biomedical Machine Reading Comprehension. - Forrest Sheng Bao, Hebi Li, Ge Luo, Cen Chen, Yinfei Yang, Minghui Qiu:
End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization. - Pierre Le Bras, Azimeh Gharavi, David A. Robb, Ana F. Vidal, Stefano Padilla, Mike J. Chantler:
Visualising COVID-19 Research. - Zhenjie Tang, Bin Pan, Enhai Liu, Xia Xu, Tianyang Shi, Zhenwei Shi:
SRDA-Net: Super-Resolution Domain Adaptation Networks for Semantic Segmentation. - Sriram Krishnan, Amba P. Kulkarni:
Sanskrit Segmentation Revisited. - Jincheng Mei, Chenjun Xiao, Csaba Szepesvári, Dale Schuurmans:
On the Global Convergence Rates of Softmax Policy Gradient Methods. - Minh Tu Hoang, Brosnan Yuen, Kai Ren, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy:
A CNN-LSTM Quantifier for Single Access Point CSI Indoor Localization. - Noam Razin, Nadav Cohen:
Implicit Regularization in Deep Learning May Not Be Explainable by Norms. - Mythreya Vinnakota, S. R. Siva Prasad Kochi, M. Ramakrishna:
Addressing the issue of mass conservation error and the connected problem of Carbuncle formation. - Seppo Yrjölä, Petri Ahokangas, Marja Matinmikko-Blue, Risto Jurva, Vivek Kant, Pasi Karppinen, Marianne Kinnula, Harilaos Koumaras, Mika Rantakokko, Volker Ziegler, Abhishek Thakur, Hans-Jürgen Zepernick:
White Paper on Business of 6G. - Gilles Richard, Mathieu Serrurier:
Dyslexia and Dysgraphia prediction: A new machine learning approach. - Hanxiang Hao, Sriram Baireddy, Amy R. Reibman, Edward J. Delp:
FaR-GAN for One-Shot Face Reenactment. - Hyounghun Kim, Zineng Tang, Mohit Bansal:
Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA. - Pablo San Juan, Adrián Castelló, Manuel F. Dolz, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí:
High Performance and Portable Convolution Operators for ARM-based Multicore Processors. - Andrzej S. Murawski, Steven J. Ramsay, Nikos Tzevelekos:
Bisimilarity in fresh-register automata. - Ilias Diakonikolas, Samuel B. Hopkins, Daniel Kane, Sushrut Karmalkar:
Robustly Learning any Clusterable Mixture of Gaussians. - Andrew Singletary, Yuxiao Chen, Aaron D. Ames:
Control Barrier Functions for Sampled-Data Systems with Input Delays. - Chetan Gupta, Rahul Jain, Raghunath Tewari:
Time Space Optimal Algorithm for Computing Separators in Bounded Genus Graphs. - James Henderson:
The Unstoppable Rise of Computational Linguistics in Deep Learning. - Yuteng Zhu, Graham D. Finlayson:
Designing a Color Filter via Optimization of Vora-Value for Making a Camera more Colorimetric. - Yingxue Xu, Guihua Wen, Yang Hu, Mingnan Luo, Dan Dai, Yishan Zhuang, Wendy Hall:
Multiple Attentional Pyramid Networks for Chinese Herbal Recognition. - Yuxin Liu, Michelle Effros:
Finite-Blocklength and Error-Exponent Analyses for LDPC Codes in Point-to-Point and Multiple Access Communication. - Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow:
ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction. - Leonid A. Levin:
Fundamentals of Computing. - Siddhant Arora, Srikanta Bedathur:
On Embeddings in Relational Databases. - Ainesh Bakshi, Nadiia Chepurko, Rajesh Jayaram:
Testing Positive Semi-Definiteness via Random Submatrices. - Luke A. D. Hutchison:
Pika parsing: reformulating packrat parsing as a dynamic programming algorithm solves the left recursion and error recovery problems. - Sinong Geng, Zhaobin Kuang, Peggy L. Peissig, David Page:
Temporal Poisson Square Root Graphical Models. - Tobias A. Huber, Didier Sornette:
Boom, Bust, and Bitcoin: Bitcoin-Bubbles As Innovation Accelerators. - Sergey P. Morozov, Anna E. Andreychenko, N. A. Pavlov, A. V. Vladzymyrskyy, N. V. Ledikhova, V. A. Gombolevsky, Ivan A. Blokhin, P. B. Gelezhe, A. V. Gonchar, Valeria Chernina:
MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset. - Erich Bremer, Jonas S. Almeida, Joel H. Saltz:
Representing Whole Slide Cancer Image Features with Hilbert Curves. - Ana L. Milanova:
FlowCFL: A Framework for Type-based Reachability Analysis in the Presence of Mutable Data. - Sabrina Rashid, Gadi Taubenfeld, Ziv Bar-Joseph:
Genome-Wide Epigenetic Modifications as a Shared Memory Consensus Problem. - Michael Benedikt, Cécilia Pradic:
Generating collection queries from proofs. - Philip L. Lederer:
A Hellan-Herrmann-Johnson-like method for the stream function formulation of the Stokes equations in two and three space dimensions. - Athindra Venkatraman, Anupam A. Thatte, Le Xie:
Electricity as a Service: Cost Causation-based Utility Rate Model in the Future Distribution Grid. - Sahar Imtiaz, Sebastian Schiessl, Georgios P. Koudouridis, James Gross:
Coordinates-based Resource Allocation Through Supervised Machine Learning. - Mohamed Wiem Mkaouer, Marouane Kessentini, Adnan Shaout, Patrice Koligheu, Slim Bechikh, Kalyanmoy Deb, Ali Ouni:
Many-Objective Software Remodularization using NSGA-III. - Bhaskar Ray Chaudhury, Jugal Garg, Ruta Mehta:
Fair and Efficient Allocations under Subadditive Valuations. - Shan Jia, Xin Li, Chuanbo Hu, Guodong Guo, Zhengquan Xu:
3D Face Anti-spoofing with Factorized Bilinear Coding. - Elena Coli, Nicola Melluso, Gualtiero Fantoni, Daniele Mazzei:
Towards Automatic building of Human-Machine Conversational System to support Maintenance Processes. - Matteo Strada:
UAVs as Mobile Base Station. - Artuur Leeuwenberg, Marie-Francine Moens:
A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract). - Magnús M. Halldórsson, Fabian Kuhn, Yannic Maus:
Distance-2 Coloring in the CONGEST Model. - Ning Zhang, Jingen Liu, Ke Wang, Dan Zeng, Tao Mei:
Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks. - Hao Peng, Roy Schwartz, Dianqi Li, Noah A. Smith:
A Mixture of h-1 Heads is Better than h Heads. - Kakia Chatsiou, Slava Jankin Mikhaylov:
Deep Learning for Political Science. - Sharon Xu, Steven Morse, Marta C. González:
Modeling Human Dynamics and Lifestyle Using Digital Traces. - Sriram Krishnan, Amba P. Kulkarni, Gérard Huet:
Validation and Normalization of DCS corpus using Sanskrit Heritage tools to build a tagged Gold Corpus. - Forrest Sheng Bao, Youbiao He, Jie Liu, Yuanfang Chen, Qian Li, Christina R. Zhang, Lei Han, Baoli Zhu, Yaorong Ge, Shi Chen, Ming Xu, Liu Ouyang:
Triaging moderate COVID-19 and other viral pneumonias from routine blood tests. - Alex Beatson, Jordan T. Ash, Geoffrey Roeder, Tianju Xue, Ryan P. Adams:
Learning Composable Energy Surrogates for PDE Order Reduction. - Ahmed Abdelali, Hamdy Mubarak, Younes Samih, Sabit Hassan, Kareem Darwish:
Arabic Dialect Identification in the Wild. - Alexandr Vesselkov, Benjamin Finley, Jouko Vankka:
Russian trolls speaking Russian: Regional Twitter operations and MH17. - Lukas Einkemmer, Jingwei Hu, Yubo Wang:
An asymptotic-preserving dynamical low-rank method for the multi-scale multi-dimensional linear transport equation. - Xinya Du, Claire Cardie:
Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding. - Junade Ali, Vladimir Dyo:
Practical Hash-based Anonymity for MAC Addresses. - Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos:
Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs. - Iuliia Kotseruba, Calden Wloka, Amir Rasouli, John K. Tsotsos:
Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations. - Maryam Moosaei, Yusan Lin, Hao Yang:
Fashion Recommendation and Compatibility Prediction Using Relational Network. - Wayne P. Burleson, Kevin Fu, Denise L. Anthony, Jorge Guajardo, Carl A. Gunter, Kyle Ingols, Jean-Baptiste Jeannin, Farinaz Koushanfar, Carl E. Landwehr, Susan Squires:
Grand Challenges for Embedded Security Research in a Connected World. - Bhanu Pratap Singh Rawat, Wei-Hung Weng, Preethi Raghavan, Peter Szolovits:
Entity-Enriched Neural Models for Clinical Question Answering. - Majid Asgari-Bidhendi, Mehrdad Nasser, Behrooz Janfada, Behrouz Minaei-Bidgoli:
PERLEX: A Bilingual Persian-English Gold Dataset for Relation Extraction. - Gustavo Santos, Vinícius F. S. Mota, Fabrício Benevenuto, Thiago Henrique Silva:
Neutrality May Matter: Sentiment Analysis in Reviews of Airbnb, Booking, and Couchsurfing in Brazil and USA. - Mohi Khansari, Daniel Kappler, Jianlan Luo, Jeff Bingham, Mrinal Kalakrishnan:
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data. - Khalid S. Aloufi, Omar Hussain Alhazmi:
Performance Analysis of the Hybrid IoT Security Model of MQTT and UMA. - Rajat Pushkarna:
Rendezvous Nodes (RN Nodes) Based Cluster Head Selection and Energy Efficient Data Aggregation with Mobile Sink for Lifetime Maximization in Wireless Sensor Networks. - Juye Kim, Carolyn Goodman, Javad Mohammadi:
CarnegiePLUG: Prosumer-in-the-Loop simUlation Grid. - Amir Javadpour:
An Optimize-Aware Target Tracking Method with Combine MAC layer and Active Nodes in Wireless Sensor Networks. - Orestis Christou, Nikolaos Pitropakis, Pavlos Papadopoulos, Sean McKeown, William J. Buchanan:
Phishing URL Detection Through Top-level Domain Analysis: A Descriptive Approach. - Yu Wang, Yuelin Wang, Jie Liu, Zhuo Liu:
A Comprehensive Survey of Grammar Error Correction. - Tengteng Zhang, Yiqin Yu, Jing Mei, Zefang Tang, Xiang Zhang, Shaochun Li:
Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification. - Martin Pömsl, Roman Lyapin:
CIRCE at SemEval-2020 Task 1: Ensembling Context-Free and Context-Dependent Word Representations. - P. Alison Paprica, Eric Sutherland, Andrea Smith, Michael Brudno, Rosario G. Cartagena, Monique Crichlow, Brian K. Courtney, Chris Loken, Kimberlyn M. McGrail, Alex Ryan, Michael J. Schull, Adrian Thorogood, Carl Virtanen, Kathleen Yang:
Essential requirements for establishing and operating data trusts: practical guidance based on a working meeting of fifteen Canadian organizations and initiatives. - Oren Halvani, Lukas Graner, Roey Regev, Philipp Marquardt:
An Improved Topic Masking Technique for Authorship Analysis. - Xuanli He, Gholamreza Haffari, Mohammad Norouzi:
Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation. - Navonil Majumder, Rishabh Bhardwaj, Soujanya Poria, Amir Zadeh, Alexander F. Gelbukh, Amir Hussain, Louis-Philippe Morency:
Improving Aspect-Level Sentiment Analysis with Aspect Extraction. - Ali Alshehri, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed:
Understanding and Detecting Dangerous Speech in Social Media. - Laura Martinus, Jason Webster, Joanne Moonsamy, Moses Shaba Jnr, Ridha Moosa, Robert Fairon:
Neural Machine Translation for South Africa's Official Languages. - Massimo La Morgia, Alessandro Mei, Francesco Sassi, Julinda Stefa:
Pump and Dumps in the Bitcoin Era: Real Time Detection of Cryptocurrency Market Manipulations. - Dominique Mercier, Syed Tahseen Raza Rizvi, Vikas Rajashekar, Andreas Dengel, Sheraz Ahmed:
ImpactCite: An XLNet-based method for Citation Impact Analysis. - Xiuyi Fan, Siyuan Liu, Jiarong Chen, Thomas C. Henderson:
An Investigation of COVID-19 Spreading Factors with Explainable AI Techniques. - Christian Gebhardt, Torsten Trimborn, Felix Weber, Alexander Bezold, Christoph Broeckmann, Michael Herty:
Simplified ResNet approach for data driven prediction of microstructure-fatigue relationship. - Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Joelle Pineau, Aaron C. Courville, Laurent Charlin, Yoshua Bengio:
A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM. - Procheta Sen, Debasis Ganguly:
Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning. - Ramit Debnath, Ronita Bardhan:
India nudges to contain COVID-19 pandemic: a reactive public policy analysis using machine-learning based topic modelling. - Daniel Schiff, Aladdin Ayesh, Laura Musikanski, John C. Havens:
IEEE 7010: A New Standard for Assessing the Well-being Implications of Artificial Intelligence. - Scott McLachlan, Peter Lucas, Kudakwashe Dube, Graham A. Hitman, Magda Osman, Evangelia Kyrimi, Martin Neil, Norman E. Fenton:
Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing? - Martin Cooney, Sepideh Pashami, Eric Järpe, Awais Ashfaq:
Avoiding Improper Treatment of Persons with Dementia by Care Robots. - Aurelie Mascio, Zeljko Kraljevic, Daniel Bean, Richard J. B. Dobson, Robert Stewart, Rebecca Bendayan, Angus Roberts:
Comparative Analysis of Text Classification Approaches in Electronic Health Records. - Oguzhan Gencoglu:
Cyberbullying Detection with Fairness Constraints. - Zineb Mahrez, Essaid Sabir, Elarbi Badidi, Walid Saad, Mohamed Sadik:
Smart Urban Mobility: When Mobility Systems Meet Smart Data. - Junhua Liu, Trisha Singhal, Luciënne T. M. Blessing, Kristin L. Wood, Kwan Hui Lim:
CrisisBERT: a Robust Transformer for Crisis Classification and Contextual Crisis Embedding. - Ashish Khetan, Zohar S. Karnin:
schuBERT: Optimizing Elements of BERT. - Guangxia Li, Xiao Lu, Dusit Niyato:
A Bandit Approach for Mode Selection in Ambient Backscatter-Assisted Wireless-Powered Relaying. - Ahmed Allam, Matthias Dittberner, Anna Sintsova, Dominique Brodbeck, Michael Krauthammer:
Patient Similarity Analysis with Longitudinal Health Data. - Guangchun Ruan, Dongqi Wu, Xiangtian Zheng, Sivaranjani S., Haiwang Zhong, Munther A. Dahleh, Le Xie, Chongqing Kang:
A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector. - Somaieh Goudarzvand, Gharib Gharibi, Yugyung Lee:
SCAT: Second Chance Autoencoder for Textual Data. - Amy Breden, Lee Moore:
Detecting Adverse Drug Reactions from Twitter through Domain-Specific Preprocessing and BERT Ensembling. - Nasir Saeed, Ahmed Bader, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini:
When Wireless Communication Faces COVID-19: Combating the Pandemic and Saving the Economy. - Noga Zaslavsky, Jennifer Hu, Roger P. Levy:
A Rate-Distortion view of human pragmatic reasoning. - Antonio Pastor, Rubén Cuevas, Ángel Cuevas, Arturo Azcorra:
Establishing Trust in Online Advertising with Signed Transactions. - Michael Vaughn, Thomas W. Reps:
A Generating-Extension-Generator for Machine Code. - MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami:
Systematic Ensemble Model Selection Approach for Educational Data Mining. - Andreas Loukas:
How hard is graph isomorphism for graph neural networks? - Brigit Schroeder, Subarna Tripathi:
Structured Query-Based Image Retrieval Using Scene Graphs. - Dario Kneubuehler, Shuhang Gu, Luc Van Gool, Radu Timofte:
Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network. - Yahya H. Ezzeldin, Martina Cardone, Christina Fragouli, Giuseppe Caire:
Gaussian 1-2-1 Networks with Imperfect Beamforming. - Fabian Zaiser, C.-H. Luke Ong:
The Extended Theory of Trees and Algebraic (Co)datatypes. 167-196 - Gianmaria Del Monte, Diego Pennino, Maurizio Pizzonia:
Scaling Blockchains Without Giving up Decentralization and Security. - Suayb S. Arslan, Elif Haytaoglu:
Cost of Guessing: Applications to Distributed Data Storage and Repair. - Frank Bieder, Sascha Wirges, Johannes Janosovits, Sven Richter, Zheyuan Wang, Christoph Stiller:
Exploiting Multi-Layer Grid Maps for Surround-View Semantic Segmentation of Sparse LiDAR Data. - Tan Li, Linqi Song, Christina Fragouli:
Federated Recommendation System via Differential Privacy. - Dawoon Jung, Fridger Schrempp, Seunghee Son:
Optimally Fast Soft Shadows on Curved Terrain with Dynamic Programming and Maximum Mipmaps. - Sepideh Aghamolaei, Mohammad Ghodsi:
Approximating p-Mean Curve of Large Data-Sets. - Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov:
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. - Chi-Chun Zhou, Hai-Long Tu, Yi Liu, Jian Hua:
Activation functions are not needed: the ratio net. - Daniel Schemmel, Julian Büning, César Rodríguez, David Laprell, Klaus Wehrle:
Symbolic Partial-Order Execution for Testing Multi-Threaded Programs. - Dehong Gao, Wenjing Yang, Huiling Zhou, Yi Wei, Yi Hu, Hao Wang:
Deep Hierarchical Classification for Category Prediction in E-commerce System. - Ningning Han, Shidong Li, Zhanjie Song:
Efficient iterative thresholding algorithms with functional feedbacks and convergence analysis. - Zhichao Li, Thai Duong, Nikolay Atanasov:
Safe Robot Navigation in Cluttered Environments using Invariant Ellipsoids and a Reference Governor. - Majid Namazi, Conrad Sanderson, M. A. Hakim Newton, Abdul Sattar:
Surrogate Assisted Optimisation for Travelling Thief Problems. - Hangsong Yan, Alexei Ashikhmin, Hong Yang:
A Scalable and Energy Efficient IoT System. - Muhammad Saqib Ali, Syed Muhammad Raza Kazmi:
An Accurate Analytical Approach for the Parameterization of the Single Diode Model of Photovoltaic Cell. - Xia Wang, Eric T. Chung, Shubin Fu, Zhaoqin Huang:
Mixed GMsFEM for linear poroelasticity problems in heterogeneous porous media. - Xianghao Yu, Dongfang Xu, Derrick Wing Kwan Ng, Robert Schober:
Power-Efficient Resource Allocation for Multiuser MISO Systems via Intelligent Reflecting Surfaces. - Yucheng Lu, Jack Nash, Christopher De Sa:
MixML: A Unified Analysis of Weakly Consistent Parallel Learning. - Shaoning Zeng, Bob Zhang:
Noise Homogenization via Multi-Channel Wavelet Filtering for High-Fidelity Sample Generation in GANs. - Hoang Vu Phan, Steven Aurecianus, Loan Thi Kim Au, Taesam Kang, Hoon Cheol Park:
Towards Long-Endurance Flight of an Insect-Inspired, Tailless, Two-Winged, Flapping-Wing Flying Robot. - Behnam Khaleghi, Mohsen Imani, Tajana Rosing:
Prive-HD: Privacy-Preserved Hyperdimensional Computing. - Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang:
Domain Conditioned Adaptation Network. - Kwun Yiu Cadmus To, Chanyeol Yoo, Stuart Anstee, Robert Fitch:
Distance and Steering Heuristics for Streamline-Based Flow Field Planning. - Zhiming Huang, Yifan Xu, Bingshan Hu, Qipeng Wang, Jianping Pan:
Thompson Sampling for Combinatorial Semi-bandits with Sleeping Arms and Long-Term Fairness Constraints. - Jesmin Jahan Tithi, Fabrizio Petrini:
An Efficient Shared-memory Parallel Sinkhorn-Knopp Algorithm to Compute the Word Mover's Distance. - Yemao Xu, Dezun Dong, Weixia Xu, Xiangke Liao:
OD-SGD: One-step Delay Stochastic Gradient Descent for Distributed Training. - Chia-Ying Tsao, Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai:
Data Augmentation for Deep Candlestick Learner. - Randhir Singh:
Solving coupled Lane-Emden equations by Green's function and decomposition technique. - Shi Qiu, Saeed Anwar, Nick Barnes:
Dense-Resolution Network for Point Cloud Classification and Segmentation. - Ali Khajegili Mirabadi, Stefano Rini:
The Information & Mutual Information Ratio for Counting Image Features and Their Matches. - Priyanka Dutta, Willy Susilo, Dung Hoang Duong, Joonsang Baek, Partha Sarathi Roy:
Lattice-based Unidirectional IBPRE Secure in Standard Model. - Sergio Amat, Juan Ruiz, Chi-Wang Shu, Dionisio F. Yáñez:
A new WENO-2r algorithm with progressive order of accuracy close to discontinuities. - Sérgio Nunes, Suzanne Little, Sumit Bhatia, Ludovico Boratto, Guillaume Cabanac, Ricardo Campos, Francisco M. Couto, Stefano Faralli, Ingo Frommholz, Adam Jatowt, Alípio Jorge, Mirko Marras, Philipp Mayr, Giovanni Stilo:
ECIR 2020 Workshops: Assessing the Impact of Going Online. - Massimo Narizzano, Luca Pulina, Armando Tacchella, Simone Vuotto:
Automated Requirements-Based Testing of Black-Box Reactive Systems. - Manoj Changat, Lekshmi Kamal K. Sheela, Prasanth G. Narasimha-Shenoi:
The Interval function, Ptolemaic, distance hereditary, bridged graphs and axiomatic characterizations. - Atique Ur Rehman, Sibt ul Hussain:
Large Scale Font Independent Urdu Text Recognition System. - Veniamin I. Morgenshtern:
Super-Resolution of Positive Sources on an Arbitrarily Fine Grid. - Marco Tognon, Rachid Alami, Bruno Siciliano:
Physical Human-Robot Interaction with a Tethered Aerial Vehicle: Application to a Force-based Human Guiding Problem. - Diego Pérez-Liébana, Muhammad Sajid Alam, Raluca D. Gaina:
Rolling Horizon NEAT for General Video Game Playing. - Eduardo Sánchez Morales, Richard Membarth, Andreas Gaull, Philipp Slusallek, Tobias Dirndorfer, Alexander Kammenhuber, Christoph Lauer, Michael Botsch:
Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance. - Vishal Chakraborty, Theo Delemazure, Benny Kimelfeld, Phokion G. Kolaitis, Kunal Relia, Julia Stoyanovich:
Algorithmic Techniques for Necessary and Possible Winners. - P. J. W. Koelewijn, Roland Tóth:
Scheduling Dimension Reduction of LPV Models - A Deep Neural Network Approach. - Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin:
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning. - Zhaoyang Liu, Limin Wang, Wayne Wu, Chen Qian, Tong Lu:
TAM: Temporal Adaptive Module for Video Recognition. - Clément Aubert, Ioana Cristescu:
How Reversibility Can Solve Traditional Questions: The Example of Hereditary History-Preserving Bisimulation. - Clément Aubert, Ioana Cristescu:
Structural Equivalences for Reversible Calculi of Communicating Systems (Oral communication). - Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu:
A Semi-Supervised Assessor of Neural Architectures. - Pierre Escamilla, Abdellatif Zaidi, Michèle A. Wigger:
Some Results on the Vector Gaussian Hypothesis Testing Problem. - Bing Zhu, Kenneth W. Shum, Weiping Wang, Jianxin Wang:
On the Optimal Minimum Distance of Fractional Repetition Codes. - Yinghong Zhao, Xiao He, Michael G. Pecht, Junfeng Zhang, Donghua Zhou:
Detection and Detectability of Intermittent Faults Based on Moving Average T2 Control Charts with Multiple Window Lengths. - Per Erik Strandberg, Thomas J. Ostrand, Elaine J. Weyuker, Wasif Afzal, Daniel Sundmark:
Intermittently Failing Tests in the Embedded Systems Domain. - Katrin Casel, Tobias Friedrich, Stefan Neubert, Markus L. Schmid:
Shortest Distances as Enumeration Problem. - Chunjie Luo, Jianfeng Zhan, Lei Wang, Wanling Gao:
Finet: Using Fine-grained Batch Normalization to Train Light-weight Neural Networks. - Philipp Oberdiek, Matthias Rottmann, Gernot A. Fink:
Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation. - Yinghong Zhao, Xiao He, Junfeng Zhang, Hongquan Ji, Donghua Zhou, Michael G. Pecht:
Detection of Intermittent Faults Based on an Optimally Weighted Moving Average T^2 Control Chart with Stationary Gaussian Observations. - Alessandro Acquisti, Sarah Spiekermann:
Do Interruptions Pay Off? Effects of Interruptive Ads on Consumers Willingness to Pay. - Sarah Spiekermann, Matthias Rothensee, Michael Klafft:
Street Marketing: How Proximity and Context drive Coupon Redemption. - Diego Garaialde, Christopher P. Bowers, Charlie Pinder, Priyal Shah, Shashwat Parashar, Leigh Clark, Benjamin R. Cowan:
Quantifying the Impact of Making and Breaking Interface Habits. - Thomas Hiessl, Daniel Schall, Jana Kemnitz, Stefan Schulte:
Industrial Federated Learning - Requirements and System Design. - Pieter Delobelle, Paul Temple, Gilles Perrouin, Benoît Frénay, Patrick Heymans, Bettina Berendt:
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning. - Francesca Bonizzoni, Fabio Nobile:
Regularity and sparse approximation of the recursive first moment equations for the lognormal Darcy problem. - Junjie Liu, Zhe Xu, Runbin Shi, Ray C. C. Cheung, Hayden Kwok-Hay So:
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers. - Riccardo Del Gratta:
A Category Theory Approach to Interoperability. - Sergio Mascetti, Mattia Ducci, Niccolò Cantù, Paolo Pecis, Dragan Ahmetovic:
Developing Accessible Mobile Applications with Cross-Platform Development Frameworks. - Zhihao Xing, Shikui Tu, Lei Xu:
Solve Traveling Salesman Problem by Monte Carlo Tree Search and Deep Neural Network. - Thodoris Sotiropoulos, Stefanos Chaliasos, Dimitris Mitropoulos, Diomidis Spinellis:
Identifying Bugs in Make and JVM-Oriented Builds. - Bing Huang, Athman Bouguettaya, Hai Dong:
Enabling Edge Cloud Intelligence for Activity Learning in Smart Home. - Kaiqi Zhang, Zinan Lv, Haifeng Du, Honghu Zou:
An Adaptive Networks Model to Simulate Consensus Formation Driven by Social Identity Recognition. - Daniele A. Di Pietro, Jérôme Droniou:
An arbitrary-order method for magnetostatics on polyhedral meshes based on a discrete de Rham sequence. - David Gschwend:
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network. - Bing Huang, Athman Bouguettaya, Sajib Mistry:
Conflict Detection of IoT_Services in Smart Home. - Daniel Weber, Clemens Gühmann, Thomas Seel:
Neural Networks Versus Conventional Filters for Inertial-Sensor-based Attitude Estimation. - Susan Leavy, Gerardine Meaney, Karen Wade, Derek Greene:
Mitigating Gender Bias in Machine Learning Data Sets. - Kirill V. Andreev, Evgeny Marshakov, Alexey A. Frolov:
A Polar Code Based TIN-SIC Scheme for the Unsourced Random Access in the Quasi-Static Fading MAC. - Qiankun Fu, Yue Zhang, Jiangming Liu, Meishan Zhang:
DRTS Parsing with Structure-Aware Encoding and Decoding. - Suryanarayana Murthy Durbhakula:
Parallel Minimum Spanning Tree Algorithms and Evaluation. - Bing Huang, Athman Bouguettaya, Azadeh Ghari Neiat:
Cognitive Amplifier for Internet of Things. - Kevin Roitero, Michael Soprano, Shaoyang Fan, Damiano Spina, Stefano Mizzaro, Gianluca Demartini:
Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor's Background. - Andreas Burgdorf, André Pomp, Tobias Meisen:
Towards NLP-supported Semantic Data Management. - Myna Vajha, Vinayak Ramkumar, Mayank Jhamtani, P. Vijay Kumar:
On Sliding Window Approximation of Gilbert-Elliott Channel for Delay Constrained Setting. - Priyanka Golia, Subhajit Roy, Kuldeep S. Meel:
Manthan: A Data Driven Approach for Boolean Function Synthesis. - Christian Berghoff:
Protecting the integrity of the training procedure of neural networks. - Gerome Vivar, Anees Kazi, Hendrik Burwinkel, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi:
Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC). - Steve Durairaj Swamy, Shubham Laddha, Basil Abdussalam, Debayan Datta, Anupam Jamatia:
NIT-Agartala-NLP-Team at SemEval-2020 Task 8: Building Multimodal Classifiers to tackle Internet Humor. - Hannes Fassold, Antonis Karakottas, Dorothea Tsatsou, Dimitrios Zarpalas, Barnabás Takács, Christian Fuhrhop, Angelo Manfredi, Nicolas Patz, Simona Tonoli, Iana Dulskaia:
The Hyper360 toolset for enriched 360° video. - Shuang Liu, Renjie Guo, Baiyang Zhao, Tao Chen, Meishan Zhang:
APPCorp: A Corpus for Android Privacy Policy Document Structure Analysis. - Pierre Voué, Tom De Smedt, Guy De Pauw:
4chan & 8chan embeddings. - Mira Gonen, Ishay Haviv, Michael Langberg, Alex Sprintson:
Minimizing the alphabet size of erasure codes with restricted decoding sets. - Balsam Alkouz, Athman Bouguettaya, Sajib Mistry:
Swarm-based Drone-as-a-Service (SDaaS) for Delivery. - Amir Javadpour:
Providing a way to create balance between reliability and delays in SDN networks by using the appropriate placement of controllers. - Hong-Bae Jeon, Hyung-Joo Moon, Soo-Min Kim, Do-Hoon Kwon, Joon-Woo Lee, Sang-Kook Han, Chan-Byoung Chae:
Demo: A Unified Platform of Free-Space Optics for High-Quality Video Transmission. - Ibrahim Shaer, Anwar Haque, Abdallah Shami:
Multi-Component V2X Applications Placement in Edge Computing Environment. - Samiya Khan, Mansaf Alam:
Wearable Internet of Things for Personalized Healthcare Study of Trends and Latent Research. - Ripon Patgiri, Sabuzima Nayak:
A Survey on Large Scale Metadata Server for Big Data Storage. - Sabuzima Nayak, Ripon Patgiri, Thoudam Doren Singh:
Big Computing: Where are we heading? - Sabuzima Nayak, Ripon Patgiri, Angana Borah:
A Review on Impact of Bloom Filter on Named Data Networking: The Future Internet Architecture. - Allen G. Hart, James L. Hook, Jonathan H. P. Dawes:
Echo State Networks trained by Tikhonov least squares are L2(μ) approximators of ergodic dynamical systems. - Xinsheng Wang, Tingting Qiao, Jihua Zhu, Alan Hanjalic, Odette Scharenborg:
S2IGAN: Speech-to-Image Generation via Adversarial Learning. - Marco Sutti, Bart Vandereycken:
Multilevel Riemannian optimization for low-rank problems. - Tristan Karb, Niklas Kühl, Robin Hirt, Varvara Glivici-Cotruta:
A network-based transfer learning approach to improve sales forecasting of new products. - Rajarshi Haldar, Lingfei Wu, Jinjun Xiong, Julia Hockenmaier:
A Multi-Perspective Architecture for Semantic Code Search. - Benjamin A. Carreras, Eder Batista Tchawou Tchuisseu, José Miguel Reynolds-Barredo, Damià Gomila, Pere Colet:
Effects of demand control on the complex dynamics of electric power system blackouts. - Zhaoyang Qu, Qianhui Xie, Yuqing Liu, Yang Li, Lei Wang, Pengcheng Xu, Yuguang Zhou, Jian Sun, Kai Xue, Mingshi Cui:
Power Cyber-Physical System Risk Area Prediction Using Dependent Markov Chain and Improved Grey Wolf Optimization. - Jonathan Donier:
The universality of skipping behaviours on music streaming platforms. - Juan Pedro Araque Espinosa, Gabriel Baldi Levcovitz, Riccardo Maria Bianchi, Ian Brock, Tancredi Carli, Nuno Filipe Castro, Alessandra Ciocio, Maurizio Colautti, Ana Carolina Da Silva Menezes, Gabriel De Oliveira da Fonseca, Leandro Domingues Macedo Alves, Andreas Hoecker, Bruno Lange Ramos, Gabriela Lemos Lúcidi Pinhão, Carmen Maidantchik, Fairouz Malek, Robert McPherson, Gianluca Picco, Marcelo Texeira Dos Santos:
The ATLAS Publication Process Supported by Continuous Integration and Web Framework. - Antonín Steinhauser, Petr Tuma:
DjangoChecker: Applying Extended Taint Tracking and Server Side Parsing for Detection of Context-Sensitive XSS Flaws. - Tomoya Koike, Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto:
deepSELF: An Open Source Deep Self End-to-End Learning Framework. - Simone Brugiapaglia, Sjoerd Dirksen, Hans Christian Jung, Holger Rauhut:
Sparse recovery in bounded Riesz systems with applications to numerical methods for PDEs. - Jeremy Youngquist, Jörg Peters, Meera Sitharam:
Plane-Activated Mapped Microstructure. - Ming-Min Zhao, Qingqing Wu, Min-Jian Zhao, Rui Zhang:
Exploiting Amplitude Control in Intelligent Reflecting Surface Aided Wireless Communication with Imperfect CSI. - Zhong-Yuan Zhang:
Comment on "Improved mutual information measure for clustering, classification, and community detection". - Fatima Abbas, Ayman Mourad:
Towards a Mathematical Model for the Solidification and Rupture of Blood in Stenosed Arteries. - Lingyu Meng, Zhijie Sasha Dong, Lauren Christenson, Lawrence Fulton:
Mining Public Opinion on Twitter about Natural Disaster Response Using Machine Learning Techniques. - Pavel Praks, Dejan Brkic:
Review of new flow friction equations: Constructing Colebrook explicit correlations accurately. - Alessandro Paolo Capasso, Giulio Bacchiani, Alberto Broggi:
From Simulation to Real World Maneuver Execution using Deep Reinforcement Learning. - Kun Zhou, Berrak Sisman, Mingyang Zhang, Haizhou Li:
Converting Anyone's Emotion: Towards Speaker-Independent Emotional Voice Conversion. - Juan Ignacio Mulero Martínez:
A Polynomial-Time Algorithm for Optimization of Quadratic Pseudo-Boolean Functions. - Gabriel Rodriguez Garcia, Gabriel Michau, Mélanie Ducoffe, Jayant Sen Gupta, Olga Fink:
Time Series to Images: Monitoring the Condition of Industrial Assets with Deep Learning Image Processing Algorithms. - Yixin Wang, Md. Noor-A-Rahim, Erry Gunawan, Yong Liang Guan, Chueh-Loo Poh:
Thermodynamically Stable DNA Code Design using a Similarity Significance Model. - Nguyen Van Huynh, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz:
DeepFake: Deep Dueling-based Deception Strategy to Defeat Reactive Jammers. - Nicolò Colombo, Vladimir Vovk:
Training conformal predictors. - Navjot Singh, Deepesh Data, Jemin George, Suhas N. Diggavi:
SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization. - Hufei Zhu:
Efficient and Stable Algorithms to Extend Greville's Method to Partitioned Matrices Based on Inverse Cholesky Factorization. - Tuan Tran Anh, Khoa Nguyen-Tuan, Tran Minh Quan, Won-Ki Jeong:
Reinforced Coloring for End-to-End Instance Segmentation. - Jason Z. S. Hu, Jacques Carette:
Proof-relevant Category Theory in Agda. - Christian Schröder de Witt, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Robert Zinkov, Puneet K. Dokania, N. Siddharth, Ana Belen Espinosa-Gonzalez, Ara Darzi, Philip H. S. Torr, Atilim Günes Baydin:
Simulation-Based Inference for Global Health Decisions. - Angeliki Lazaridou, Anna Potapenko, Olivier Tieleman:
Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning. - Cong Hoang Quach, Minh-Trien Pham, Anh Viet Dang, Dinh Tuan Pham, Thuan Hoang Tran, Manh Duong Phung:
Recognition of 26 Degrees of Freedom of Hands Using Model-based approach and Depth-Color Images. - Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schönlieb, Simon R. Arridge:
On Learned Operator Correction. - Edoardo Bacci, David Parker:
Probabilistic Guarantees for Safe Deep Reinforcement Learning. - Soo-Whan Chung, Soyeon Choe, Joon Son Chung, Hong-Goo Kang:
FaceFilter: Audio-visual speech separation using still images. - Yigit Oktar, Mehmet Türkan:
Evolutionary Simplicial Learning as a Generative and Compact Sparse Framework for Classification. - Oliver Ammann, Gabriel Michau, Olga Fink:
Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks. - Kevin Lin:
A Berkeley View of Teaching CS at Scale. - Gianluca Frasca Caccia, Peter E. Hydon:
A new technique for preserving conservation laws. - Yiming Wu, Tristan Carsault, Eita Nakamura, Kazuyoshi Yoshii:
Semi-supervised Neural Chord Estimation Based on a Variational Autoencoder with Discrete Labels and Continuous Textures of Chords. - Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling:
Bayesian Bits: Unifying Quantization and Pruning. - Martin Lackner, Jan Maly:
Approval-Based Shortlisting. - Di Hu, Lichao Mou, Qingzhong Wang, Junyu Gao, Yuansheng Hua, Dejing Dou, Xiao Xiang Zhu:
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions. - Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu:
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning. - Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi:
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages. - Alexey Kutalev:
Natural Way to Overcome the Catastrophic Forgetting in Neural Networks. - Duarte Rondao, Nabil Aouf, Mark A. Richardson, Vincent Dubanchet:
Robust On-Manifold Optimization for Uncooperative Space Relative Navigation with a Single Camera. - Madhumita Sushil, Simon Suster, Walter Daelemans:
Distilling neural networks into skipgram-level decision lists. - Vinayak Ramkumar, Myna Vajha, M. Nikhil Krishnan, P. Vijay Kumar:
Staggered Diagonal Embedding Based Linear Field Size Streaming Codes. - Harshvardhan Sikka:
A Deeper Look at the Unsupervised Learning of Disentangled Representations in β-VAE from the Perspective of Core Object Recognition. - Haoyan Xu, Runjian Chen, Yunsheng Bai, Jie Feng, Ziheng Duan, Ke Luo, Yizhou Sun, Wei Wang:
Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning. - Majid Mazouchi, Yongliang Yang, Hamidreza Modares:
Data-driven Dynamic Multi-objective Optimal Control: An Aspiration-satisfying Reinforcement Learning Approach. - Thomas Herrmann, Francesco Passigato, Johannes Betz, Markus Lienkamp:
Minimum Race-Time Planning-Strategy for an Autonomous Electric Racecar. - Bernd Finkbeiner, Manuel Gieseking, Jesko Hecking-Harbusch, Ernst-Rüdiger Olderog:
AdamMC: A Model Checker for Petri Nets with Transits against Flow-LTL (Full Version). - Shiyu Li, Edward Hanson, Hai Li, Yiran Chen:
PENNI: Pruned Kernel Sharing for Efficient CNN Inference. - Pradeeban Kathiravelu, Peter Van Roy, Luís Veiga, Elhadj Benkhelifa:
Latency-Sensitive Web Service Workflows: A Case for a Software-Defined Internet. - Forrest Laine, Chih-Yuan Chiu, Claire J. Tomlin:
Eyes-Closed Safety Kernels: Safety for Autonomous Systems Under Loss of Observability. - Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary, Afsah Anwar, Rhongho Jang, Saeed Salem, DaeHun Nyang, David Mohaisen:
A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification. - Jayasree Sengupta, Sushmita Ruj, Sipra Das Bit:
A Secure Fog Based Architecture for Industrial Internet of Things and Industry 4.0. - Juntao Yu, Bernd Bohnet, Massimo Poesio:
Named Entity Recognition as Dependency Parsing. - Tianhang Zheng, Sheng Liu, Changyou Chen, Junsong Yuan, Baochun Li, Kui Ren:
Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition. - Jack Reinhardt:
Competing in a Complex Hidden Role Game with Information Set Monte Carlo Tree Search. - Chenguang Wang, Kaikai Pan, Simon H. Tindemans, Peter Palensky:
Training Strategies for Autoencoder-based Detection of False Data Injection Attacks. - Chao Huang, Kai-Chieh Chang, Chung-Wei Lin, Qi Zhu:
SAW: A Tool for Safety Analysis of Weakly-hard Systems. - Tran Khanh Dang, Ha Xuan Son, Luong Khiem Tran:
XACs-DyPol: Towards an XACML-based Access Control Model for Dynamic Security Policy. - Marcin Namysl, Sven Behnke, Joachim Köhler:
NAT: Noise-Aware Training for Robust Neural Sequence Labeling. - Yinghui Ye, Liqin Shi, Xiaoli Chu, Guangyue Lu:
On the Outage Performance of Ambient Backscatter Communications. - Kailiang Wu, Yulong Xing:
Uniformly High-Order Structure-Preserving Discontinuous Galerkin Methods for Euler Equations with Gravitation: Positivity and Well-Balancedness. - Daniel J. Fremont, Johnathan Chiu, Dragos D. Margineantu, Denis Osipychev, Sanjit A. Seshia:
Formal Analysis and Redesign of a Neural Network-Based Aircraft Taxiing System with VerifAI. - Elena Kochkina, Maria Liakata:
Estimating predictive uncertainty for rumour verification models. - Swanand Kadhe, Onur Ozan Koyluoglu, Kannan Ramchandran:
Communication-Efficient Gradient Coding for Straggler Mitigation in Distributed Learning. - Michael W. Dusenberry, Ghassen Jerfel, Yeming Wen, Yi-An Ma, Jasper Snoek, Katherine A. Heller, Balaji Lakshminarayanan, Dustin Tran:
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors. - Thierry Lecomte, David Déharbe, Étienne Prun, Erwan Mottin:
Applying a Formal Method in Industry: a 25-Year Trajectory. - Thierry Lecomte, David Déharbe, Denis Sabatier, Étienne Prun, Patrick Péronne, Emmanuel Chailloux, Steven Varoumas, Adilla Susungi, Sylvain Conchon:
Low Cost High Integrity Platform. - Shoya Wada, Toshihiro Takeda, Shiro Manabe, Shozo Konishi, Jun Kamohara, Yasushi Matsumura:
A pre-training technique to localize medical BERT and enhance BioBERT. - Frantisek Blahoudek, Tomás Brázdil, Petr Novotný, Melkior Ornik, Pranay Thangeda, Ufuk Topcu:
Qualitative Controller Synthesis for Consumption Markov Decision Processes. - Iam Palatnik de Sousa, Marley Maria Bernardes Rebuzzi Vellasco, Eduardo Costa da Silva:
Evolved Explainable Classifications for Lymph Node Metastases. - Lei Ding, Lorenzo Bruzzone:
DiResNet: Direction-aware Residual Network for Road Extraction in VHR Remote Sensing Images. - Antonio M. Mora, Anna Isabel Esparcia-Alcázar:
Evo* 2020 - Late-Breaking Abstracts Volume. - Luis Evaristo Caraballo, Ángel Montes-Romero, José Miguel Díaz-Báñez, Jesús Capitán, Arturo Torres-González, Aníbal Ollero:
Autonomous Planning for Multiple Aerial Cinematographers. - Athanasios Davvetas, Iraklis A. Klampanos:
Unsupervised Severe Weather Detection Via Joint Representation Learning Over Textual and Weather Data. - Brandon Barker, Susan Mehringer:
Using Containers to Create More Interactive Online Training and Education Materials. - Jerry Anunrojwong, Krishnamurthy Iyer, Vahideh H. Manshadi:
Information Design for Congested Social Services: Optimal Need-Based Persuasion. - Dennis Heinze, Jiska Classen, Felix Rohrbach:
MagicPairing: Apple's Take on Securing Bluetooth Peripherals. - Van Sy Mai, Richard J. La, Abdella Battou:
Optimal Cybersecurity Investments for SIS Model. - Amir Javadpour, Guojun Wang, Xiaofei Xing:
Managing Heterogeneous Substrate Resources by Mapping and Visualization Based on Software-Defined Network. - Hans Dermot Doran:
Voting Framework for Distributed Real-Time Ethernet based Dependable and Safe Systems. - David Pastor-Escuredo, Carlota Tarazona:
Characterizing information leaders in Twitter during COVID-19 crisis. - Abhishek Badki, Alejandro J. Troccoli, Kihwan Kim, Jan Kautz, Pradeep Sen, Orazio Gallo:
Bi3D: Stereo Depth Estimation via Binary Classifications. - Timothy D. Barfoot, Gabriele M. T. D'Eleuterio:
Variational Inference as Iterative Projection in a Bayesian Hilbert Space. - Pingping Lu, Chen Cui, Shaobing Xu, Huei Peng, Fan Wang:
SUPER: A Novel Lane Detection System. - Roman Iakymchuk, Maria Barreda, Stef Graillat, José Ignacio Aliaga, Enrique S. Quintana-Ortí:
Reproducibility of Parallel Preconditioned Conjugate Gradient in Hybrid Programming Environments. - Quan Nguyen, Koushil Sreenath:
Optimal Robust Safety-Critical Control for Dynamic Robotics. - Grégory Senay, Badr Youbi Idrissi, Marine Haziza:
VirAAL: Virtual Adversarial Active Learning. - Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon:
Taskology: Utilizing Task Relations at Scale. - Maiara Francine Bollauf, Sueli Irene Rodrigues Costa, Ram Zamir:
Construction C* from Self-Dual Codes. - Nadezhda Chirkova, Ekaterina Lobacheva, Dmitry P. Vetrov:
Deep Ensembles on a Fixed Memory Budget: One Wide Network or Several Thinner Ones? - Ninareh Mehrabi, Yuzhong Huang, Fred Morstatter:
Statistical Equity: A Fairness Classification Objective. - Agnaldo de Souza Batista, Michele Nogueira, Aldri Santos:
E-Health Sensitive Data Dissemination Exploiting Trust and Mobility of Users. - Fatemah Husain:
OSACT4 Shared Task on Offensive Language Detection: Intensive Preprocessing-Based Approach. - Mohammad Rami Koujan, Anastasios Roussos, Stefanos Zafeiriou:
DeepFaceFlow: In-the-wild Dense 3D Facial Motion Estimation. - Marc Faddoul, Henriette Ruhrmann, Joyce Lee:
A Risk Assessment of a Pretrial Risk Assessment Tool: Tussles, Mitigation Strategies, and Inherent Limits. - Bin Xiang, Jocelyne Elias, Fabio Martignon, Elisabetta Di Nitto:
Joint Planning of Network Slicing and Mobile Edge Computing in 5G Networks. - Markos Georgopoulos, Yannis Panagakis, Maja Pantic:
Investigating Bias in Deep Face Analysis: The KANFace Dataset and Empirical Study. - Jack Henderson, Jochen Trumpf, Mohammad Zamani:
A Minimum Energy Filter for Distributed Multirobot Localisation. - Flávia Alves, Martin Gairing, Frans A. Oliehoek, Thanh-Toan Do:
Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking. - Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu:
Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models. - Zhe Wang, Zhiyuan Fang, Jun Wang, Yezhou Yang:
ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language. - Devi Parikh, C. Lawrence Zitnick:
Exploring Crowd Co-creation Scenarios for Sketches. - Anna Talgat, Mustafa A. Kishk, Mohamed-Slim Alouini:
Nearest Neighbor and Contact Distance Distribution for Binomial Point Process on Spherical Surfaces. - Dillon Staub, Rashmi Jha, David Kapp:
A CRISPR-Cas-Inspired Mechanism for Detecting Hardware Trojans in FPGA Devices. - Kenneth W. Shum, Hanxu Hou:
Network Coding Based on Byte-wise Circular Shift and Integer Addition. - Saurabh Bagchi, Tarek F. Abdelzaher, Ramesh Govindan, Prashant J. Shenoy, Akanksha Atrey, Pradipta Ghosh, Ran Xu:
New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges. - Jianxiong Guo, Xingjian Ding, Weili Wu:
An Architecture for Distributed Energies Trading in Byzantine-Based Blockchain. - Zhe Wang, Jun Wang, Yezhou Yang:
Resisting the Distracting-factors in Pedestrian Detection. - Tianhang Zheng, Di Wang, Baochun Li, Jinhui Xu:
Towards Assessment of Randomized Mechanisms for Certifying Adversarial Robustness. - Mikhail V. Simkin:
Success in creative careers depends little on product quality. - Viduranga Bandara Wijekoon, Emanuele Viterbo, Yi Hong:
Decoding of NB-LDPC codes over Subfields. - Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet:
Adaptive XGBoost for Evolving Data Streams. - Chester Holt-Quick, Jim Warren, Karolina Stasiak, Ruth Williams, Grant Christie, Sarah Hetrick, Sarah Hopkins, Tania Cargo, Sally Merry:
A chatbot architecture for promoting youth resilience. - Bashar Tahayna, Mohammed Belkhatir:
Near-duplicate video detection featuring coupled temporal and perceptual visual structures and logical inference based matching. - A. K. M. Iqtidar Newaz, Amit Kumar Sikder, Mohammad Ashiqur Rahman, A. Selcuk Uluagac:
A Survey on Security and Privacy Issues in Modern Healthcare Systems: Attacks and Defenses. - Preetum Nakkiran:
Learning Rate Annealing Can Provably Help Generalization, Even for Convex Problems. - Ryuichi Takanobu, Qi Zhu, Jinchao Li, Baolin Peng, Jianfeng Gao, Minlie Huang:
Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation. - Aly Sabri Abdalla, Bodong Shang, Vuk Marojevic, Lingjia Liu:
Securing Mobile IoT with Unmanned Aerial Systems. - Jiayu Zhou, Deli Qiao, Haifeng Qian:
Mimicking Full-Duplex Secure Communications for Buffer-Aided Multi-Relay Systems. - Siddharth Barman, Umang Bhaskar, Anand Krishna, Ranjani G. Sundaram:
Tight Approximation Algorithms for p-Mean Welfare Under Subadditive Valuations. - Jiaoyang Li, Andrew Tinka, Scott Kiesel, Joseph W. Durham, T. K. Satish Kumar, Sven Koenig:
Lifelong Multi-Agent Path Finding in Large-Scale Warehouses. - Reza Fathi, Anisur Rahaman Molla, Gopal Pandurangan:
Efficient Distributed Algorithms for the K-Nearest Neighbors Problem. - Zimeng Lyu, Joshua Karns, AbdElRahman ElSaid, Travis Desell:
Improving Neuroevolution Using Island Extinction and Repopulation. - Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng:
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model. - Yang Ai, Xin Wang, Junichi Yamagishi, Zhen-Hua Ling:
Reverberation Modeling for Source-Filter-based Neural Vocoder. - Ya-Hui An, Muthu Kumar Chandresekaran, Min-Yen Kan, Yan Fu:
The MUIR Framework: Cross-Linking MOOC Resources to Enhance Discussion Forums. - Xinyu Huang, Lijun He, Liejun Wang, Fan Li:
Towards 5G: Joint Optimization of Video Segment Cache, Transcoding and Resource Allocation for Adaptive Video Streaming in a Muti-access Edge Computing Network. - Mattias Tiger, David Bergström, Andreas Norrstig, Fredrik Heintz:
Enhancing Lattice-based Motion Planning with Introspective Learning and Reasoning. - Michael Feldmann, Ardalan Khazraei, Christian Scheideler:
Time- and Space-Optimal Clock Synchronization in the Beeping Model. - Jordi Ortiz, Antonio F. Skarmeta:
SDN enabled Information Centric Networking (ICN) as a Service prefetching mechanism for HyperText Transfer Protocol (HTTP) based services. The scalable video streaming case. - Da-Rong Liu, Chunxi Liu, Frank Zhang, Gabriel Synnaeve, Yatharth Saraf, Geoffrey Zweig:
Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model. - Vedran Novakovic:
Batched computation of the singular value decompositions of order two by the AVX-512 vectorization. - Thomas M. Moerland, Anna Deichler, Simone Baldi, Joost Broekens, Catholijn M. Jonker:
Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning. - Chiara Piazzola, Lorenzo Tamellini, Riccardo Pellegrini, Riccardo Broglia, Andrea Serani, Matteo Diez:
Uncertainty Quantification of Ship Resistance via Multi-Index Stochastic Collocation and Radial Basis Function Surrogates: A Comparison. - Hongguang Sun, Howard H. Yang, Xijun Wang, Chao Xu, Tony Q. S. Quek:
Performance Analysis for Multi-Antenna Small Cell Networks with Clustered Dynamic TDD. - Marcelo Rodrigues de Holanda Maia, Alexandre Plastino, Puca Huachi Vaz Penna:
MineReduce: an approach based on data mining for problem size reduction. - Wenzhi Fang, Min Fu, Yuanming Shi, Yong Zhou:
Outage Minimization for Intelligent Reflecting Surface Aided MISO Communication Systems via Stochastic Beamforming. - Shaohua Zhang, Haoran Huang, Jicong Liu, Hang Li:
Spelling Error Correction with Soft-Masked BERT. - Francesco D'Amore, Andrea Clementi, Emanuele Natale:
Phase Transition of a Non-Linear Opinion Dynamics with Noisy Interactions. - Felix Nobis, Fabian Brunhuber, Simon Janssen, Johannes Betz, Markus Lienkamp:
Exploring the Capabilities and Limits of 3D Monocular Object Detection - A Study on Simulation and Real World Data. - Norine Coenen, Bernd Finkbeiner, César Sánchez, Leander Tentrup:
Verifying Hyperliveness. - Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen:
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. - Felix Nobis, Odysseas Papanikolaou, Johannes Betz, Markus Lienkamp:
Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM Extension. - Felix Nobis, Maximilian Geisslinger, Markus Weber, Johannes Betz, Markus Lienkamp:
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection. - Jithin Ravi, Tobias Koch:
Capacity per Unit-Energy of Gaussian Random Many-Access Channels. - Thomas Herrmann, Fabian Christ, Johannes Betz, Markus Lienkamp:
Energy Management Strategy for an Autonomous Electric Racecar using Optimal Control. - Alonso Marco, Alexander von Rohr, Dominik Baumann, José Miguel Hernández-Lobato, Sebastian Trimpe:
Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures. - Tomer Berg, Ofer Shayevitz, Or Ordentlich:
Binary Hypothesis Testing with Deterministic Finite-Memory Decision Rules. - Philipp Reiter, Henrik Schumacher:
Sobolev Gradients for the Möbius Energy. - Giuseppe Antonio Di Luna, Paola Flocchini, Giuseppe Prencipe, Nicola Santoro:
Tight Bounds for Black Hole Search in Dynamic Rings. - Marko Robnik-Sikonja, Kristjan Reba, Igor Mozetic:
Cross-lingual Transfer of Twitter Sentiment Models Using a Common Vector Space. - Christiane Sommer, Yumin Sun, Erik Bylow, Daniel Cremers:
PrimiTect: Fast Continuous Hough Voting for Primitive Detection. - Mohamed El Guide, Alaa El Ichi, Fatemeh Panjeh Ali Beik, Khalide Jbilou:
Tensor GMRES and Golub-Kahan Bidiagonalization methods via the Einstein product with applications to image and video processing. - Anastasios K. Papazafeiropoulos, Hien Quoc Ngo, Pandelis Kourtessis, Symeon Chatzinotas, John M. Senior:
Towards Optimal Energy Efficiency in Cell-Free Massive MIMO Systems. - Joachim Hänsel, Christian M. Adriano, Johannes Dyck, Holger Giese:
Collective Risk Minimization via a Bayesian Model for Statistical Software Testing. - Richard Barnes:
Factors in the Portability of Tokenized Assets on Distributed Ledgers. - Joël Colloc, Danielle Boulanger:
An Object Model for the Representation of Empirical Knowledge. - MohammadReza Tavakoli, Stefan T. Mol, Gábor Kismihók:
Labour Market Information Driven, Personalized, OER Recommendation System for Lifelong Learners. - Xuewen Qian, Marco Di Renzo, Jiang Liu, Abla Kammoun, Mohamed-Slim Alouini:
Beamforming Through Reconfigurable Intelligent Surfaces in Single-User MIMO Systems: SNR Distribution and Scaling Laws in the Presence of Channel Fading and Phase Noise. - Bárbara Silveira, Henrique S. Silva, Fabricio Murai, Ana Paula Couto da Silva:
Predicting User Emotional Tone in Mental Disorder Online Communities. - Alan F. T. Winfield, Katie Winkle, Helena Webb, Ulrik Lyngs, Marina Jirotka, Carl Macrae:
Robot Accident Investigation: a case study in Responsible Robotics. - Martin Uhrin, Sebastiaan P. Huber:
kiwiPy: Robust, high-volume, messaging for big-data and computational science workflows. - Jun Liu, Xue-Cheng Tai, Shousheng Luo:
Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation. - Sean P. Walton, Alma As-Aad Mohammad Rahat, James Stovold:
Mixed-Initiative Procedural Content Generation using Level Design Patterns and Interactive Evolutionary Optimisation. - Prajjwal Bhargava:
Adaptive Transformers for Learning Multimodal Representations. - Shubham Agarwal, Trung Bui, Joon-Young Lee, Ioannis Konstas, Verena Rieser:
History for Visual Dialog: Do we really need it? - Michael Braun, Jannik Castenow, Friedhelm Meyer auf der Heide:
Local Gathering of Mobile Robots in Three Dimensions. - Joakim Skarding, Bogdan Gabrys, Katarzyna Musial:
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey. - Raheam A. Mansor Al-Saphory, Naseif J. Al-Jawari, Assma N. Al-Janabi:
Regional gradient strategic sensors characterizations. - Christos N. Efrem, Athanasios D. Panagopoulos:
Minimizing the Installation Cost of Ground Stations in Satellite Networks: Complexity, Dynamic Programming and Approximation Algorithm. - Ashish Kumar Nandi, Nachiketa Mishra, Debasisha Mishra:
Alternating Stationary Iterative Methods Based on Double Splittings. - Martin Müller, Marcel Salathé, Per Egil Kummervold:
COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter. - Jean-Baptiste Camps, Simon Gabay, Paul Fièvre, Thibault Clérice, Florian Cafiero:
Corpus and Models for Lemmatisation and POS-tagging of Classical French Theatre. - Matteo Mio, Valeria Vignudelli:
Monads and Quantitative Equational Theories for Nondeterminism and Probability. - Abbas Abdolmaleki, Sandy H. Huang, Leonard Hasenclever, Michael Neunert, H. Francis Song, Martina Zambelli, Murilo F. Martins, Nicolas Heess, Raia Hadsell, Martin A. Riedmiller:
A Distributional View on Multi-Objective Policy Optimization. - Sergey Loyka:
On The Capacity of Gaussian MIMO Channels Under Interference Constraints (full version). - Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Kim Halvorsen, Alf Ring Kleiven, Lei Jiao, Morten Goodwin:
Temperate Fish Detection and Classification: a Deep Learning based Approach. - Dongqi Han, Zhiliang Wang, Ying Zhong, Wenqi Chen, Jiahai Yang, Shuqiang Lu, Xingang Shi, Xia Yin:
Practical Traffic-space Adversarial Attacks on Learning-based NIDSs. - Yi Zhang, Tao Ge, Xu Sun:
Parallel Data Augmentation for Formality Style Transfer. - Ine L. Jernelv, Dag Roar Hjelme, Yuji Matsuura, Astrid Aksnes:
Convolutional neural networks for classification and regression analysis of one-dimensional spectral data. - Sabuzima Nayak, Ripon Patgiri:
6G Communications: A Vision on the Potential Applications. - Sabuzima Nayak, Ripon Patgiri:
6G Communication Technology: A Vision on Intelligent Healthcare. - Matthew G. Crowson, Timothy C. Y. Chan:
Machine Learning as a Catalyst for Value-Based Health Care. - Tim Hertweck, Martin A. Riedmiller, Michael Bloesch, Jost Tobias Springenberg, Noah Y. Siegel, Markus Wulfmeier, Roland Hafner, Nicolas Heess:
Simple Sensor Intentions for Exploration. - Sumeet Gajjar, Saurabh Vaidya:
Elastic execution of checkpointed MPI applications. - Frances M. Skinner, Iouli E. Gordon, Christian Hill, Robert J. Hargreaves, Kelly E. Lockhart, Laurence S. Rothman:
Referencing Sources of Molecular Spectroscopic Data in the Era of Data Science: Application to the HITRAN and AMBDAS Databases. - Jacopo Pantaleoni:
Online path sampling control with progressive spatio-temporal filtering. - Alejandro Allendes, Enrique Otárola, Abner J. Salgado:
The stationary Boussinesq problem under singular forcing. - Svitlana H. Lytvynova:
System of Computer Modeling and Features of their use in the Educational Process of General Secondary Education. - Ahmad Gazar, Majid Khadiv, Andrea Del Prete, Ludovic Righetti:
Stochastic and Robust MPC for Bipedal Locomotion: A Comparative Study on Robustness and Performance. - Xin Xia, Wenrui Ding:
HNAS: Hierarchical Neural Architecture Search on Mobile Devices. - Debayan Ganguly, Kingshuk Chatterjee, Kumar Sankar Ray:
Two-way Nanoscale automata. - Donald Martin Jr., Vinodkumar Prabhakaran, Jill Kuhlberg, Andrew Smart, William S. Isaac:
Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics. - Subhra Mazumdar, Sushmita Ruj:
CryptoMaze: Atomic Off-Chain Payments in Payment Channel Network. - Travis Baumbaugh, Haley Colgate, Timothy Jackman, Felice Manganiello:
Batch Codes from Affine Cartesian Codes and Quotient Spaces. - Kate Ching-Ju Lin, Ruei-Yong Hong, Yu-Chee Tseng:
Efficient Network Function Backup by Update Piggybacking. - Olaf Borsboom, Chyannie A. Fahdzyana, Mauro Salazar, Theo Hofman:
Time-optimal Control Strategies for Electric Race Cars with Different Transmission Technologies. - Khan Mohammad Rashedun-Naby:
A Peer-to-Peer Distributed Secured Sustainable Large Scale Identity Document Verification System With BitTorrent Network And Hash Function. - Mohammad Moazum Wani, Samiya Khan, Mansaf Alam:
IoT Based Traffic Management System for Ambulances. - Srinivasa Rao Aravilli:
BAHULAM: Distributed Data Analytics on Secure Enclaves. - Nathan George:
Literature Review and Implementation Overview: High Performance Computing with Graphics Processing Units for Classroom and Research Use. - Vignesh S., Muthumanikandan Vanamoorthy:
High Performance Cluster Computing for MapReduce. - Nadja Kurz, Felix Hamann, Adrian Ulges:
Neural Entity Linking on Technical Service Tickets. - (Withdrawn) Initializing Perturbations in Multiple Directions for Fast Adversarial Training.
- Niall Bootland, Andrew J. Wathen:
Multipreconditioning with application to two-phase incompressible Navier-Stokes flow. - Sai Kireet Patri, Achim Autenrieth, Danish Rafique, Jörg-Peter Elbers, Carmen Mas Machuca:
HeCSON: Heuristic for Configuration Selectionin Optical Network Planning. - Jawad Haj-Yahya, Mohammed Alser, Jeremie S. Kim, Abdullah Giray Yaglikçi, Nandita Vijaykumar, Efraim Rotem, Onur Mutlu:
SysScale: Exploiting Multi-domain Dynamic Voltage and Frequency Scaling for Energy Efficient Mobile Processors. - David Helbig, Enrica Troiano, Roman Klinger:
Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline. - Miquel Pericàs, Oscar Palomar, Vassilis Papaefstathiou, Mahmoud Eljammaly:
Proceedings of the Thirteenth International Workshop on Programmability and Architectures for Heterogeneous Multicores (MULTIPROG-2020). - Milad Johnny, Alireza Vahid:
Embedding Information in Radiation Pattern Fluctuations. - Sean Cao, Lin William Cong, Meng Han, Qixuan Hou, Baozhong Yang:
Blockchain Architecture forAuditing Automation and TrustBuilding in Public Markets. - Klaus-Tycho Foerster, Janne H. Korhonen, Ami Paz, Joel Rybicki, Stefan Schmid:
Input-dynamic distributed graph algorithms for congested networks. - Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras:
Beyond MeSH: Fine-Grained Semantic Indexing of Biomedical Literature based on Weak Supervision. - Dmitrii Dobriborsci, Sergey A. Kolyubin, Alexey A. Bobtsov:
Output adaptive control for linear systems under parametric uncertainties with finite-time matching input harmonic disturbance rejection. - Laura M. Roberts, David Plonka:
Watching the Watchers: Nonce-based Inverse Surveillance to Remotely Detect Monitoring. - Meng He, J. Ian Munro, Yakov Nekrich, Sebastian Wild, Kaiyu Wu:
Breadth-First Rank/Select in Succinct Trees and Distance Oracles for Interval Graphs. - Daniel Martin Katz, Corinna Coupette, Janis Beckedorf, Dirk Hartung:
Complex Societies and the Growth of the Law. - Xavier Suau, Luca Zappella, Nicholas Apostoloff:
Finding Experts in Transformer Models. - Corey Lynch, Pierre Sermanet:
Grounding Language in Play. - Rodolfo Ferro-Pérez, Hugo A. Mitre-Hernández:
ResMoNet: A Residual Mobile-based Network for Facial Emotion Recognition in Resource-Limited Systems. - Omar Montasser, Surbhi Goel, Ilias Diakonikolas, Nathan Srebro:
Efficiently Learning Adversarially Robust Halfspaces with Noise. - Asan Agibetov, Matthias Samwald:
Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes. - Steven R. Wilson, Walid Magdy, Barbara McGillivray, Gareth Tyson:
Analyzing Temporal Relationships between Trending Terms on Twitter and Urban Dictionary Activity. - Luis Miralles-Pechuán, Fernando Jiménez, Hiram Ponce, Lourdes Martínez-Villaseñor:
A Deep Q-learning/genetic Algorithms Based Novel Methodology For Optimizing Covid-19 Pandemic Government Actions. - Yinjun Wu, Kwanghyun Park, Rathijit Sen, Brian Kroth, Jaeyoung Do:
Lessons learned from the early performance evaluation of Intel Optane DC Persistent Memory in DBMS. - Adrian Friebel, Tim Johann, Dirk Drasdo, Stefan Hoehme:
Guided interactive image segmentation using machine learning and color based data set clustering. - Tegg Tae Kyong Sung, Jeongsoo Ha, Jeewoo Kim, Alex Yahja, Bo Ryu:
DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip Resource Scheduling. - Jovan Kalajdjieski, Martina Toshevska, Frosina Stojanovska:
Recent Advances in SQL Query Generation: A Survey. - Jeovane Honório Alves, Lucas Ferrari de Oliveira:
Optimizing Neural Architecture Search using Limited GPU Time in a Dynamic Search Space: A Gene Expression Programming Approach. - Miguel González Duque, Rasmus Berg Palm, David Ha, Sebastian Risi:
Finding Game Levels with the Right Difficulty in a Few Trials through Intelligent Trial-and-Error. - Alexandr Andoni, Negev Shekel Nosatzki:
Edit Distance in Near-Linear Time: it's a Constant Factor. - Victor Sanh, Thomas Wolf, Alexander M. Rush:
Movement Pruning: Adaptive Sparsity by Fine-Tuning. - Aythami Morales, Alejandro Acien, Julian Fiérrez, John V. Monaco, Ruben Tolosana, Rubén Vera-Rodríguez, Javier Ortega-Garcia:
Keystroke Biometrics in Response to Fake News Propagation in a Global Pandemic. - Alexander Liniger, Luc Van Gool:
Safe Motion Planning for Autonomous Driving using an Adversarial Road Model. - Gizem Aras, Didem Makaroglu, Seniz Demir, Altan Cakir:
An Evaluation of Recent Neural Sequence Tagging Models in Turkish Named Entity Recognition. - Mengyuan Yan, Qingyun Sun, Iuri Frosio, Stephen Tyree, Jan Kautz:
How to Close Sim-Real Gap? Transfer with Segmentation! - Dhruva Kartik, Ashutosh Nayyar, Urbashi Mitra:
Testing for Anomalies: Active Strategies and Non-asymptotic Analysis. - Wenbin Wan, Hunmin Kim, Yikun Cheng, Naira Hovakimyan, Petros G. Voulgaris, Lui Sha:
Safety Constrained Multi-UAV Time Coordination: A Bi-level Control Framework in GPS Denied Environment. - Jiayu Zhou, Deli Qiao, Haifeng Qian:
Alternate Distributed Beamforming for Buffer-Aided Multi-Antenna Relay Systems. - Filip Andersson, Simon Arvidsson:
Generative Adversarial Networks for photo to Hayao Miyazaki style cartoons. - Atish Agarwala, Abhimanyu Das, Rina Panigrahy, Qiuyi Zhang:
Learning the gravitational force law and other analytic functions. - David Bau, Hendrik Strobelt, William S. Peebles, Jonas Wulff, Bolei Zhou, Jun-Yan Zhu, Antonio Torralba:
Semantic Photo Manipulation with a Generative Image Prior. - Yotam Nitzan, Amit Bermano, Yangyan Li, Daniel Cohen-Or:
Disentangling in Latent Space by Harnessing a Pretrained Generator. - Susan Leavy:
Uncovering Gender Bias in Media Coverage of Politicians with Machine Learning. - Tim Stahl, Matthis Eicher, Johannes Betz, Frank Diermeyer:
Online Verification Concept for Autonomous Vehicles - Illustrative Study for a Trajectory Planning Module. - Abdullah Al-Mamun, Dongfang Zhao:
Trustworthy Edge Computing through Blockchains. - Ruben Kruiper, Julian F. V. Vincent, Jessica Chen-Burger, Marc P. Y. Desmulliez, Ioannis Konstas:
In Layman's Terms: Semi-Open Relation Extraction from Scientific Texts. - Ruben Kruiper, Julian F. V. Vincent, Jessica Chen-Burger, Marc P. Y. Desmulliez, Ioannis Konstas:
A Scientific Information Extraction Dataset for Nature Inspired Engineering. - Ziyi Chen, Yi Zhou:
Momentum with Variance Reduction for Nonconvex Composition Optimization. - Sebastian Brandt, Barbara Keller, Joel Rybicki, Jukka Suomela, Jara Uitto:
Efficient Load-Balancing through Distributed Token Dropping. - S. H. Warraich, Z. Aziz, Hasnat Khurshid, R. Hameed, A. Saboor, M. Awais:
SDN Enabled and OpenFlow Compatible Network Performance Monitoring System. - Dongfang Yang, Keith A. Redmill, Ümit Özgüner:
A Multi-State Social Force Based Framework for Vehicle-Pedestrian Interaction in Uncontrolled Pedestrian Crossing Scenarios. - Shagun Uppal, Anish Madan, Sarthak Bhagat, Yi Yu, Rajiv Ratn Shah:
C3VQG: Category Consistent Cyclic Visual Question Generation. - Amir Sonee, Stefano Rini:
Efficient Federated Learning over Multiple Access Channel with Differential Privacy Constraints. - Andrew Cullen, Pietro Ferraro, William Sanders, Luigi Vigneri, Robert Shorten:
On Congestion Control for Distributed Ledgers in Adversarial IoT Networks. - Esteban Reyes, Pablo A. Estévez:
Transformation Based Deep Anomaly Detection in Astronomical Images. - David Gunderman, Kenneth Weiss, John A. Evans:
Spectral mesh-free quadrature for planar regions bounded by rational parametric curves. - Forrest Huang, Eldon Schoop, David Ha, John F. Canny:
Scones: Towards Conversational Authoring of Sketches. - Huihui Zhang, Wu Huang:
Unbiased Deep Reinforcement Learning: A General Training Framework for Existing and Future Algorithms. - Nicolás I. Tapia, Pablo A. Estévez:
On the Information Plane of Autoencoders. - Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan:
S-ADDOPT: Decentralized stochastic first-order optimization over directed graphs. - Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán:
A flexible, extensible software framework for model compression based on the LC algorithm. - Mohammad K. Ebrahimpour, J. Benjamin Falandays, Samuel Spevack, Ming-Hsuan Yang, David C. Noelle:
WW-Nets: Dual Neural Networks for Object Detection. - Youyang Hou:
Technologies and Workflow of Creative Coding Projects: Examples from the Google DevArt Competition. - Francesco Piccoli, Rajarathnam Balakrishnan, Maria Jesus Perez, Moraldeepsingh Sachdeo, Carlos Nuñez, Matthew Tang, Kajsa Andreasson, Kalle Bjurek, Ria Dass Raj, Ebba Davidsson, Colin Eriksson, Victor Hagman, Jonas Sjöberg, Ying Li, L. Srikar Muppirisetty, Sohini Roychowdhury:
FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network. - Dominik Christian Maier, Lukas Seidel, Shinjo Park:
BaseSAFE: Baseband SAnitized Fuzzing through Emulation. - Amir Behrouzi-Far, Emina Soljanin, Roy D. Yates:
Data Freshness in Leader-Based Replicated Storage. - Yuzhou Gu, Hajir Roozbehani, Yury Polyanskiy:
Broadcasting on trees near criticality. - Juan Ignacio Ibañez, Chris N. Bayer, Paolo Tasca, Jiahua Xu:
REA, Triple-Entry Accounting and Blockchain: Converging Paths to Shared Ledger Systems. - Gang Chen, Peter Monk, Yangwen Zhang:
L∞ norm error estimates for HDG methods applied to the Poisson equation with an application to the Dirichlet boundary control problem. - Sofia Dokuka, Ivan Smirnov:
High academic performance is associated with shorter sleep and later bedtimes for young adults. - Min-Oh Jeong, Alex Dytso, Martina Cardone, H. Vincent Poor:
Recovering Data Permutation from Noisy Observations: The Linear Regime. - Sung-En Chiu, Tara Javidi:
Low Complexity Sequential Search with Measurement Dependent Noise. - Saja Khaled Tawalbeh, Mahmoud Hammad, Mohammad Al-Smadi:
KEIS@JUST at SemEval-2020 Task 12: Identifying Multilingual Offensive Tweets Using Weighted Ensemble and Fine-Tuned BERT. - Paul J. Bonczek, Nicola Bezzo:
Memoryless Cumulative Sign Detector for Stealthy CPS Sensor Attacks. - Yinhua Liu, Wenzheng Zhao, Rui Sun, Xiaowei Yue:
Optimal Path Planning for Automated Dimensional Inspection of Free-Form Surfaces. - José Carlos Pazos, Jean-Sébastien Légaré, Ivan Beschastnikh, William Aiello:
Precise XSS detection and mitigation with Client-side Templates. - Paul J. Bonczek, Shijie Gao, Nicola Bezzo:
Model-based Randomness Monitor for Stealthy Sensor Attacks. - Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin:
Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation. - Shuvra S. Bhattacharyya, Marilyn Claire Wolf:
Research Challenges for Heterogeneous CPS Design. - Vikram Sharma:
Generalizing The Davenport-Mahler-Mignotte Bound - The Weighted Case. - Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu:
Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms. - Cherilyn Conner, Jim Samuel, Andrey Kretinin, Yana Samuel, Lee Nadeau:
A Picture for the Words! Textual Visualization in Big Data Analytics. - Yuan Gao, Jian-Guo Liu:
Projection method for droplet dynamics on groove-textured surface with merging and splitting. - Jinseok Choi, Yunseong Cho, Brian L. Evans:
Quantized Massive MIMO Systems with Multicell Coordinated Beamforming and Power Control. - Yang Cai, Jaime Llorca, Antonia M. Tulino, Andreas F. Molisch:
Mobile Edge Computing Network Control: Tradeoff Between Delay and Cost. - Zheng Chen, Xinli Yu, Yuan Ling, Xiaohua Hu:
Neural Stochastic Block Model & Scalable Community-Based Graph Learning. - Seunghan Yang, Youngeun Kim, Dongki Jung, Changick Kim:
Partial Domain Adaptation Using Graph Convolutional Networks. - Ali Pourmiri, Bernard Mans:
Tight Analysis of Asynchronous Rumor Spreading in Dynamic Networks. - Shijie Yu, Shihua Li, Dapeng Chen, Rui Zhao, Junjie Yan, Yu Qiao:
COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification. - Yizhi Wang, Yue Gao, Zhouhui Lian:
Attribute2Font: Creating Fonts You Want From Attributes. - Yufan Zhou, Jiayi Xian, Changyou Chen, Jinhui Xu:
Graph Neural Networks with Composite Kernels. - Diego Gomez, Nicanor Quijano, Luis Felipe Giraldo:
Concept Learning in Deep Reinforcement Learning. - Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Karl Henrik Johansson, Branka Vucetic:
Remote State Estimation with Smart Sensors over Markov Fading Channels. - Yoon Kyung Lee, Yong-Eun Rhee, Jeh-Kwang Ryu, Sowon Hahn:
Gentlemen on the Road: Effect of Yielding Behavior of Autonomous Vehicle on Pedestrian Head Orientation. - Matthew R. Kirchner, Eddie Ball, Jacques Hoffler, Don Gaublomme:
Reachability as a Unifying Framework for Computing Helicopter Safe Operating Conditions and Autonomous Emergency Landing. - Zhongxia Yan, Hanrui Wang, Demi Guo, Song Han:
MicroNet for Efficient Language Modeling. - Sungyeal Park, Yunseong Cho, Songnam Hong:
Construction of 1-Bit Transmit Signal Vectors for Downlink MU-MISO Systems: QAM constellations. - Mojtaba Shahin, Muhammad Ali Babar, Muhammad Aufeef Chauhan:
Architectural Design Space for Modelling and Simulation as a Service: A Review. - Lei Zhong, Juan Cao, Qiang Sheng, Junbo Guo, Ziang Wang:
Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection. - Zonghao Huang, Yanmin Gong:
Differentially Private ADMM for Convex Distributed Learning: Improved Accuracy via Multi-Step Approximation. - Fatemah Husain, Hasan Abbas:
Education and Technology In Kuwait Democratic Practice. - Hyokun Yun, Michael Froh, Roshan Makhijani, Brian Luc, Alex Smola, Trishul Chilimbi:
Tiering as a Stochastic Submodular Optimization Problem. - Thomas Drugman, Baris Bozkurt, Thierry Dutoit:
Glottal Source Estimation using an Automatic Chirp Decomposition. - Fatemah Husain, Vivian Motti:
Social Media Usage in Kuwait: A Comparison of Perspectives Between Healthcare Practitioners and Patients. - Tefjol Pllaha, Olav Tirkkonen, A. Robert Calderbank:
Reconstruction of Multi-user Binary Subspace Chirps. - Thomas Drugman, Thierry Dutoit:
Oscillating Statistical Moments for Speech Polarity Detection. - Shuai Shao, Jin-Yi Cai:
A Dichotomy for Real Boolean Holant Problems. - Jiachi Chen, Xin Xia, David Lo, John C. Grundy:
Why Do Smart Contracts Self-Destruct? Investigating the Selfdestruct Function on Ethereum. - Giuseppe Antonio Di Luna, Ryuhei Uehara, Giovanni Viglietta, Yukiko Yamauchi:
Gathering on a Circle with Limited Visibility by Anonymous Oblivious Robots. - Vinay Kaushik, Brejesh Lall:
Deep feature fusion for self-supervised monocular depth prediction. - Chao Xiong, Che Liu, Zijun Xu, Junfeng Jiang, Jieping Ye:
Sequential Sentence Matching Network for Multi-turn Response Selection in Retrieval-based Chatbots. - Lee Prangnell:
Spatiotemporal Adaptive Quantization for Video Compression Applications. - Savvas Zannettou, Mai ElSherief, Elizabeth M. Belding, Shirin Nilizadeh, Gianluca Stringhini:
Measuring and Characterizing Hate Speech on News Websites. - Lee Prangnell, Victor Sanchez:
Spatiotemporal Adaptive Quantization for the Perceptual Video Coding of RGB 4: 4: 4 Data. - Dawid Jurkiewicz, Lukasz Borchmann, Izabela Kosmala, Filip Gralinski:
ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them. - Md. Ferdous Pervej, Le Thanh Tan, Rose Qingyang Hu:
Artificial Intelligence Assisted Collaborative Edge Caching in Small Cell Networks. - Md. Ferdous Pervej, Le Thanh Tan, Rose Qingyang Hu:
User Preference Learning-Aided Collaborative Edge Caching for Small Cell Networks. - Martin E. Dyer, Marc Heinrich, Mark Jerrum, Haiko Müller:
Polynomial-time approximation algorithms for the antiferromagnetic Ising model on line graphs. - Oguzhan Gencoglu, Mathias Gruber:
Causal Modeling of Twitter Activity During COVID-19. - Izumi Haruta, Koji Mineshima, Daisuke Bekki:
Logical Inferences with Comparatives and Generalized Quantifiers. - Benedek Rozemberczki, Rik Sarkar:
Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models. - Alevizos Bastas, Theocharis Kravaris, George A. Vouros:
Data Driven Aircraft Trajectory Prediction with Deep Imitation Learning. - Israel Leyva-Mayorga, Beatriz Soret, Petar Popovski:
Inter-Plane Inter-Satellite Connectivity in Dense LEO Constellations. - Gianluca Zeni, Matteo Fontana, Simone Vantini:
Conformal Prediction: a Unified Review of Theory and New Challenges. - Ehsaneddin Asgari, Christoph Ringlstetter, Hinrich Schütze:
Unsupervised Embedding-based Detection of Lexical Semantic Changes. - Zainab Abaid, Arash Shaghaghi, Ravin Gunawardena, Suranga Seneviratne, Aruna Seneviratne, Sanjay Jha:
Health Access Broker: Secure, Patient-Controlled Management of Personal Health Records in the Cloud. - Xiao Li, Kees van Deemter, Chenghua Lin:
A Text Reassembling Approach to Natural Language Generation. - Michele Polese, Josep Miquel Jornet, Tommaso Melodia, Michele Zorzi:
Toward End-to-End, Full-Stack 6G Terahertz Networks. - Wojciech Adamski, Dariusz Pazderski, Przemyslaw Herman:
Robust 3D tracking control of an underactuated autonomous airship. - Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh:
Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression Recognition. - Nikita Bobrov, Kirill Smirnov, George A. Chernishev:
Extending Databases to Support Data Manipulation with Functional Dependencies: a Vision Paper. - Eric K. Tokuda, Cesar H. Comin, Luciano da F. Costa:
Revisiting Agglomerative Clustering. - Florian Brandl, Felix Brandt, Dominik Peters, Christian Stricker, Warut Suksompong:
Funding Public Projects: A Case for the Nash Product Rule. - MaungMaung AprilPyone, Hitoshi Kiya:
Encryption Inspired Adversarial Defense for Visual Classification. - Vasileios Gkitsas, Nikolaos Zioulis, Federico Alvarez, Dimitrios Zarpalas, Petros Daras:
Deep Lighting Environment Map Estimation from Spherical Panoramas. - Simone Totaro, Ioannis Boukas, Anders Jonsson, Bertrand Cornélusse:
Lifelong Control of Off-grid Microgrid with Model Based Reinforcement Learning. - Haoyan Xu, Ziheng Duan, Jie Feng, Runjian Chen, Yida Huang, Yueyang Wang:
Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation. - Aibek Musaev, Jiangping Wang, Liang Zhu, Cheng Li, Yi Chen, Jialin Liu, Wanqi Zhang, Juan Mei, De Wang:
Towards in-store multi-person tracking using head detection and track heatmaps. - Hongwei Huang, Weiqi Luo, Guoqiang Zeng, Jian Weng, Yue Zhang, Anjia Yang:
DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks. - Jean Barbier, Galen Reeves:
Information-theoretic limits of a multiview low-rank symmetric spiked matrix model. - Alexey Svyatkovskiy, Shao Kun Deng, Shengyu Fu, Neel Sundaresan:
IntelliCode Compose: Code Generation Using Transformer. - Zebin Yang, Hengtao Zhang, Agus Sudjianto, Aijun Zhang:
An Effective and Efficient Initialization Scheme for Multi-layer Feedforward Neural Networks. - Aarsh Patel, Rahul Gupta, Mukund Harakere, Satyapriya Krishna, Aman Alok, Peng Liu:
Towards classification parity across cohorts. - Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique:
NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips. - Fredrik Hellström, Giuseppe Durisi:
Generalization Bounds via Information Density and Conditional Information Density. - Aniket Agarwal, Ayush Mangal, Vipul:
Visual Relationship Detection using Scene Graphs: A Survey. - Lele Cao, Sahar Asadi, Wenfei Zhu, Christian Schmidli, Michael Sjöberg:
Simple, Scalable, and Stable Variational Deep Clustering. - Stefania Costantini, Pasquale De Meo, Angelo Giorgianni, Valentina Migliorato, Alessandro Provetti, Federico Salvia:
Exploring Low-degree Nodes First Accelerates Network Exploration. - Vidya Muthukumar, Adhyyan Narang, Vignesh Subramanian, Mikhail Belkin, Daniel J. Hsu, Anant Sahai:
Classification vs regression in overparameterized regimes: Does the loss function matter? - Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, Dong Yu:
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension. - Jasine Babu, Veena Prabhakaran, Arko Sharma:
A Linear Time Algorithm for Computing the Eternal Vertex Cover Number of Cactus Graphs. - Jianxiong Guo, Weili Wu:
Adaptive Influence Maximization: If Influential Node Unwilling to Be the Seed. - Xiaokai Huo, Hailiang Liu, Athanasios E. Tzavaras, Shuaikun Wang:
An energy stable and positivity-preserving scheme for the Maxwell-Stefan diffusion system. - Prantik Chatterjee, Subhajit Roy, Bui Phi Diep, Akash Lal:
Distributed Bounded Model Checking. - Filipe N. Ribeiro, Fabrício Benevenuto, Emilio Zagheni:
How Biased is the Population of Facebook Users? Comparing the Demographics of Facebook Users with Census Data to Generate Correction Factors. - Markus Löning, Franz J. Király:
Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 Study. - Ignasi Clavera, Violet Fu, Pieter Abbeel:
Model-Augmented Actor-Critic: Backpropagating through Paths. - Ljubisa Stankovic:
The Support Uncertainty Principle and the Graph Rihaczek Distribution: Revisited and Improved. - Fraser Young, Li Zhang, Richard Jiang, Han Liu, Conor Wall:
A Deep Learning based Wearable Healthcare IoT Device for AI-enabled Hearing Assistance Automation. - David Limbaugh, David Kasmier, Ronald Rudnicki, James Llinas, Barry Smith:
Ontology and Cognitive Outcomes. - Fenglin Liu, Xuancheng Ren, Guangxiang Zhao, Xu Sun:
Layer-Wise Cross-View Decoding for Sequence-to-Sequence Learning. - Alex Guimarães Cardoso de Sá, Cristiano Guimarães Pimenta, Gisele L. Pappa, Alex Alves Freitas:
A Robust Experimental Evaluation of Automated Multi-Label Classification Methods. - Ashutosh Chaubey, Nikhil Agrawal, Kavya Barnwal, Keerat K. Guliani, Pramod Mehta:
Universal Adversarial Perturbations: A Survey. - Ningyuan Chen, Chun Wang, Longlin Wang:
Learning and Optimization with Seasonal Patterns. - Loraine Franke, Daniel Karl I. Weidele, Fan Zhang, Suheyla Cetin Karayumak, Steve Pieper, Lauren J. O'Donnell, Yogesh Rathi, Daniel Haehn:
FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects. - Fotios Fitsilis:
Imposing Regulation on Advanced Algorithms. - Luca Cardelli:
Kaemika app, Integrating protocols and chemical simulation. - Zhi Gang Liu, Paul N. Whatmough, Matthew Mattina:
Systolic Tensor Array: An Efficient Structured-Sparse GEMM Accelerator for Mobile CNN Inference. - Matthew S. Brennan, Guy Bresler:
Reducibility and Statistical-Computational Gaps from Secret Leakage. - Marie Destandau, Jean-Daniel Fekete:
The Missing Path: Diagnosing Incompleteness in Linked Data. - Nikita Araslanov, Stefan Roth:
Single-Stage Semantic Segmentation from Image Labels. - Mingda Chen, Kevin Gimpel:
Learning Probabilistic Sentence Representations from Paraphrases. - Boyana Buyuklieva:
Machine Learning for Exploring Spatial Affordance Patterns. - Josef Bigün, Fernando Alonso-Fernandez:
Analytic Signal Phase in N-D by Linear Symmetry Tensor-fingerprint modeling. - Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin:
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks. - Liam Steadman, Nathan E. Griffiths, Stephen A. Jarvis, Mark Bell, Shaun Helman, Caroline Wallbank:
kD-STR: A Method for Spatio-Temporal Data Reduction and Modelling. - Xuhui Zhou, Zaixiang Zheng, Shujian Huang:
RPD: A Distance Function Between Word Embeddings. - Yiming Ding, Ignasi Clavera, Pieter Abbeel:
Mutual Information Maximization for Robust Plannable Representations. - Benjamin Kunsberg, Steven W. Zucker:
From Boundaries to Bumps: when closed (extremal) contours are critical. - Arun Kumar, Mason Bell, Benjamin Mellinkoff, Alex Sandoval, Wendy Bailey Martin, Jack Burns:
A Methodology to Assess the Human Factors Associated with Lunar Teleoperated Assembly Tasks. - Amir Khazraei, Miroslav Pajic:
Attack-Resilient State Estimation with Intermittent Data Authentication. - Yu Huang, Mohammad Khorsand Zak, Emran Tohidi:
A class of multiplicative splitting iterations for solving the continuous Sylvester equation. - Hanxiong Chen, Shaoyun Shi, Yunqi Li, Yongfeng Zhang:
Neural Collaborative Reasoning. - Mubariz Zaffar, Shoaib Ehsan, Michael Milford, David Flynn, Klaus Dieter McDonald-Maier:
VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change. - Arun Ganesh, Bruce M. Maggs, Debmalya Panigrahi:
Robust Algorithms for TSP and Steiner Tree. - Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao:
Train in Germany, Test in The USA: Making 3D Object Detectors Generalize. - Wen Chen, Diogo Pacheco, Kai-Cheng Yang, Filippo Menczer:
Neutral Bots Reveal Political Bias on Social Media. - Christopher B. Choy, Junha Lee, René Ranftl, Jaesik Park, Vladlen Koltun:
High-dimensional Convolutional Networks for Geometric Pattern Recognition. - Somin Wadhwa, Kanhua Yin, Kevin S. Hughes, Byron C. Wallace:
Semi-Automating Knowledge Base Construction for Cancer Genetics. - Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li:
Attacking Black-box Recommendations via Copying Cross-domain User Profiles. - Mohammad Maghsoudi Mehrabani, Hamid Mohayeji, Ali Moeini:
A Hybrid Approach to Enhance Pure Collaborative Filtering based on Content Feature Relationship. - Jin Wang, Caiyan Jin, Qiang Tang, Naixue Xiong:
GJRA: A Global Joint Resource Allocation Scheme for UAV service of PEC in IIoTs. - Sushmita Gupta, Pallavi Jain, Sanjukta Roy, Saket Saurabh, Meirav Zehavi:
On the (Parameterized) Complexity of Almost Stable Marriage. - Sachin Shriwastav, Zhuoyuan Song:
Coordinated Coverage and Fault Tolerance using Fixed-Wing Unmanned Aerial Vehicles. - Lis Pereira, Xiaodong Liu, Fei Cheng, Masayuki Asahara, Ichiro Kobayashi:
Adversarial Training for Commonsense Inference. - Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip S. Thomas:
Optimizing for the Future in Non-Stationary MDPs. - Chen Lin, Si Chen, Hui Li, Yanghua Xiao, Lianyun Li, Qian Yang:
Attacking Recommender Systems with Augmented User Profiles. - Rui Fan, Hengli Wang, Bohuan Xue, Huaiyang Huang, Yuan Wang, Ming Liu, Ioannis Pitas:
Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator. - Jingwu He, Chuan Wang, Yang Zhang, Jie Guo, Yanwen Guo:
FA-GANs: Facial Attractiveness Enhancement with Generative Adversarial Networks on Frontal Faces. - Fengzi Li, Shashi Kant, Shunichi Araki, Sumer Bangera, Swapna Samir Shukla:
Neural Networks for Fashion Image Classification and Visual Search. - Tyler A. Chang, Anna N. Rafferty:
Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages. - Keshav Kolluru, Samarth Aggarwal, Vipul Rathore, Mausam, Soumen Chakrabarti:
IMoJIE: Iterative Memory-Based Joint Open Information Extraction. - Manraj Singh Grover, Yaman Kumar, Sumit Sarin, Payman Vafaee, Mika Hama, Rajiv Ratn Shah:
Multi-modal Automated Speech Scoring using Attention Fusion. - Lutan Zhao, Peinan Li, Rui Hou, Michael C. Huang, Jiazhen Li, Lixin Zhang, Xuehai Qian, Dan Meng:
A Lightweight Isolation Mechanism for Secure Branch Predictors. - Lu Ma, Xiaomeng Zhang, Pei Zhao, Tengrong Su:
Voice Activity Detection Scheme by Combining DNN Model with GMM Model. - Anna Darzi, Itai Lang, Ashutosh Taklikar, Hadar Averbuch-Elor, Shai Avidan:
Co-occurrence Based Texture Synthesis. - Juntao Li, Chang Liu, Jian Wang, Lidong Bing, Hongsong Li, Xiaozhong Liu, Dongyan Zhao, Rui Yan:
Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce. - Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee Keong Kwoh, Xiaoli Li:
Multi-View Collaborative Network Embedding. - Akihiro Nishi, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
Towards Efficient Interactive Computation of Dynamic Time Warping Distance. - Saeideh Ghanbari Azar, Saeed Meshgini, Tohid Yousefi Rezaii, Soosan Beheshti:
Hyperspectral Image Classification Based on Sparse Modeling of Spectral Blocks. - Dror Aiger, Haim Kaplan, Micha Sharir:
Output sensitive algorithms for approximate incidences and their applications. - Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal:
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? - Ran Tamir, Neri Merhav:
Trade-offs Between Error Exponents and Excess-Rate Exponents of Typical Slepian-Wolf Codes. - Ben Eyal, Michael Elhadad:
Building a Hebrew Semantic Role Labeling Lexical Resource from Parallel Movie Subtitles. - Mostafa Kiani:
Comparison between compactly-supported spherical radial basis functions and interpolating moving least squares meshless interpolants for gravity data interpolation in geodesy and geophysics. - Mira Weller, Jiska Classen, Fabian Ullrich, Denis Waßmann, Erik Tews:
Lost and Found: Stopping Bluetooth Finders from Leaking Private Information. - K. R. Prajwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis. - Onur Günlü:
Multi-Entity and Multi-Enrollment Key Agreement with Correlated Noise. - Edward McDaid, Sarah McDaid:
Quantifying the Impact on Software Complexity of Composable Inductive Programming using Zoea. - Won-Ik Cho, Donghyun Kwak, Ji Won Yoon, Nam Soo Kim:
Speech to Text Adaptation: Towards an Efficient Cross-Modal Distillation. - Anuradha Banerjee, Abu Sufian:
Reinforcement Learning Based Transmission Range Control (RL-TRC) in SD-WSN with Moving Sensors. - (Withdrawn) Harmonic Mitigation Schemes for Wind Power Plants by Embedding Control in Wind Turbines.
- Dexin Wang:
SGDN: Segmentation-Based Grasp Detection Network For Unsymmetrical Three-Finger Gripper. - Juan-Manuel Torres-Moreno, Luis-Gil Moreno-Jiménez:
LiSSS: A toy corpus of Literary Spanish Sentences Sentiment for Emotions Detection. - Xin Pei, Deval Mehta:
#Coronavirus or #Chinesevirus?!: Understanding the negative sentiment reflected in Tweets with racist hashtags across the development of COVID-19. - Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu:
Deep Learning for Community Detection: Progress, Challenges and Opportunities. - Arnab Kumar Mondal, Arnab Bhattacharya, Sudipto Mukherjee, Sreeram Kannan, Himanshu Asnani, Prathosh AP:
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation. - Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky:
Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation. - Tore Pedersen, Christian Johansen, Johanna Johansen:
Studying the Transfer of Biases from Programmers to Programs. - Aharon Fruchtman, Yoav Gross, Shmuel T. Klein, Dana Shapira:
Weighted Adaptive Coding. - Manuel Rey-Area, Emilio Guirado, Siham Tabik, Javier Ruiz Hidalgo:
FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations. - Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu:
Dual Learning: Theoretical Study and an Algorithmic Extension. - Alberto Padoan, Fulvio Forni, Rodolphe Sepulchre:
Model reduction by balanced truncation of dominant Lure systems. - Jorge A. V. Tohalino, Laura V. C. Quispe, Diego R. Amancio:
Analyzing the relationship between text features and research proposal success. - Luxi Zhao, Paul Pop, Zhong Zheng, Hugo Daigmorte, Marc Boyer:
Latency Analysis of Multiple Classes of AVB Traffic in TSN with Standard Credit Behavior using Network Calculus. - David Baelde, Amina Doumane, Denis Kuperberg, Alexis Saurin:
Bouncing threads for infinitary and circular proofs. - Mohammed Maree, Israa Noor, Khaled S. Rabayah, Mohammed Belkhatir, Saadat M. Alhashmi:
On the Combined Use of Extrinsic Semantic Resources for Medical Information Search. - Eleni C. Akrida, Argyrios Deligkas, George B. Mertzios, Paul G. Spirakis, Viktor Zamaraev:
Matching in Stochastically Evolving Graphs. - Vladimir Iashin, Esa Rahtu:
A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer. - Lei Wu, Siwei Wu, Yajin Zhou, Runhuai Li, Zhi Wang, Xiapu Luo, Cong Wang, Kui Ren:
EthScope: A Transaction-centric Security Analytics Framework to Detect Malicious Smart Contracts on Ethereum. - Francesc Wilhelmi, Marc Carrascosa, Cristina Cano, Anders Jonsson, Vishnu Ram, Boris Bellalta:
Usage of Network Simulators in Machine-Learning-Assisted 5G/6G Networks. - Gang Peng, Zezao Lu, Zejie Tan, Dingxin He, Xinde Li:
Calibration of the internal and external parameters of wheeled robot mobile chasses and inertial measurement units based on nonlinear optimization. - Zhen-Chen Guo, Eric King-Wah Chu, Xin Liang, Wen-Wei Lin:
A decoupled form of the structure-preserving doubling algorithm with low-rank structures. - Bhaskar Sen, Nikhil Gopal, Xinwei Xue:
Support-BERT: Predicting Quality of Question-Answer Pairs in MSDN using Deep Bidirectional Transformer. - Emmett Wise, Matthew Giamou, Soroush Khoubyarian, Abhinav Grover, Jonathan Kelly:
Certifiably Optimal Monocular Hand-Eye Calibration. - Anupam Gupta, David G. Harris, Euiwoong Lee, Jason Li:
Optimal Bounds for the k-cut Problem. - Patrick Schwab, August DuMont Schütte, Benedikt Dietz, Stefan Bauer:
predCOVID-19: A Systematic Study of Clinical Predictive Models for Coronavirus Disease 2019. - Alessia Bertugli, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara:
AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction. - Thierry Lecomte:
The Bourgeois Gentleman, Engineering and Formal Methods. - Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel:
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. - Ansel MacLaughlin, Tao Chen, Burcu Karagol Ayan, Dan Roth:
Context-Based Quotation Recommendation. - Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba:
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks. - Liming Zhang, Liang Zhao, Shan Qin, Dieter Pfoser:
TG-GAN: Deep Generative Models for Continuously-time Temporal Graph Generation. - Jag Mohan Singh, Ahmed Madhun, Guoqiang Li, Raghavendra Ramachandra:
A Survey on Unknown Presentation Attack Detection for Fingerprint. - Sk Rahatul Jannat, Diego Fabiano, Shaun J. Canavan, Tempestt J. Neal:
Subject Identification Across Large Expression Variations Using 3D Facial Landmarks. - Elmurod Kuriyozov, Yerai Doval, Carlos Gómez-Rodríguez:
Cross-Lingual Word Embeddings for Turkic Languages. - Diego Fabiano, Manikandan Jaishanker, Shaun J. Canavan:
Impact of multiple modalities on emotion recognition: investigation into 3d facial landmarks, action units, and physiological data. - Saurabh Hinduja, Shaun J. Canavan:
Facial Action Unit Detection using 3D Facial Landmarks. - Neilesh Sambhu, Shaun J. Canavan:
Detecting Forged Facial Videos using convolutional neural network. - Mahboobeh Parsapoor, Urban Bilstrup, Bertil Svensson:
Forecasting Solar Activity with Two Computational Intelligence Models (A Comparative Study). - Abdullah Almethen, Othon Michail, Igor Potapov:
On Efficient Connectivity-Preserving Transformations in a Grid. - Nan Li, Kyoungseok Han, Anouck Girard, H. Eric Tseng, Dimitar P. Filev, Ilya V. Kolmanovsky:
Action Governor for Discrete-Time Linear Systems with Non-Convex Constraints. - Michael D. Brown, Matthew Pruett, Robert Bigelow, Girish Mururu, Santosh Pande:
Not So Fast: Understanding and Mitigating Negative Impacts of Compiler Optimizations on Code Reuse Gadget Sets. - Lukas Iffländer, Nishant Rawtani, Lukas Beierlieb, Nicolas Fella, Klaus-Dieter Lange, Samuel Kounev:
Attack-aware Security Function Chain Reordering. - Xiang Gao, Michel Galley, Bill Dolan:
MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform. - Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Mete Sertkan, Allan Hanbury:
DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. - Ahmed Khalifa, Julian Togelius:
Multi-Objective level generator generation with Marahel. - Ricardo Vinuesa, Andreas Theodorou, Manuela Battaglini, Virginia Dignum:
A socio-technical framework for digital contact tracing. - Marco F. P. ten Eikelder, Ido Akkerman:
An energy-dissipative level-set method for the incompressible two-phase Navier-Stokes equations with surface tension using functional entropy variables. - Mark Braverman, Sumegha Garg:
The Role of Randomness and Noise in Strategic Classification. - Muhammad Saad, Muhammad Hassan, Fareed Zaffar:
Towards Characterizing COVID-19 Awareness on Twitter. - Ibrahim Habli, Rob Alexander, Richard Hawkins, Mark Sujan, John A. McDermid, Chiara Picardi, Tom Lawton:
Enhancing Covid-19 Decision-Making by Creating an Assurance Case for Simulation Models. - Christian Antic:
Fixed Point Semantics for Stream Reasoning. - Jannik Castenow, Björn Feldkord, Till Knollmann, Manuel Malatyali, Friedhelm Meyer auf der Heide:
The Online Multi-Commodity Facility Location Problem. - Siamak Farshidi, Slinger Jansen, Jan Martijn E. M. van der Werf:
Capturing Software Architecture Knowledge for Pattern-Driven Design. - Xingwang Li, Qunshu Wang, Yuanwei Liu, Theodoros A. Tsiftsis, Zhiguo Ding, Arumugam Nallanathan:
UAV-Aided Multi-Way NOMA Networks with Residual Hardware Impairments. - Peng Fu, Kohei Kishida, Neil J. Ross, Peter Selinger:
A tutorial introduction to quantum circuit programming in dependently typed Proto-Quipper. - Muhammet Bastan, Arnau Ramisa, Mehmet Tek:
T-VSE: Transformer-Based Visual Semantic Embedding. - Pedram Hosseini, Poorya Hosseini, David A. Broniatowski:
Content analysis of Persian/Farsi Tweets during COVID-19 pandemic in Iran using NLP. - Abdalla Swikir, Antoine Girard, Majid Zamani:
Symbolic Models for a Class of Impulsive Systems. - Keerthana Bhogi, Chiranjib Saha, Harpreet S. Dhillon:
Learning on a Grassmann Manifold: CSI Quantization for Massive MIMO Systems. - Yu Gong, Ziwen Jiang, Kaiqi Zhao, Qingwen Liu, Wenwu Ou:
EdgeRec: Recommender System on Edge in Mobile Taobao. - Ashutosh Kumar, Kabir Ahuja, Raghuram Vadapalli, Partha P. Talukdar:
Syntax-guided Controlled Generation of Paraphrases. - Zhenyu Yuan, Yuxin Jiang, Jingjing Li, Handong Huang:
Hybrid-DNNs: Hybrid Deep Neural Networks for Mixed Inputs. - Gang Peng, Zhihao Wang, Jin Yang, Xinde Li:
A Visual Kinematics Calibration Method for Manipulator Based on Nonlinear Optimization. - Fabio Pinhelli, Alceu de Souza Britto Jr., Luiz S. Oliveira, Yandre M. G. Costa, Diego Bertolini:
Single-sample writers - "Document Filter" and their impacts on writer identification. - Jenny Blessing, Julián Gómez, McCoy Patiño, Tran Nguyen:
Security Survey and Analysis of Vote-by-Mail Systems. - Lai Wei, Xiaobo Tan, Vaibhav Srivastava:
Expedited Multi-Target Search with Guaranteed Performance via Multi-fidelity Gaussian Processes. - Sara Mohammadinejad, Jyotirmoy V. Deshmukh, Aniruddh Gopinath Puranic:
Mining Environment Assumptions for Cyber-Physical System Models. - Zhiwei Fan, Rathijit Sen, Paraschos Koutris, Aws Albarghouthi:
A Comparative Exploration of ML Techniques for Tuning Query Degree of Parallelism. - Shailesh Sridhar, Snehanshu Saha, Azhar Shaikh, Rahul Yedida, Sriparna Saha:
Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets. - Siddique Latif, Muhammad Asim, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller:
Augmenting Generative Adversarial Networks for Speech Emotion Recognition. - Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou:
Cross-Task Transfer for Multimodal Aerial Scene Recognition. - Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller:
Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-corpus Setting for Speech Emotion Recognition. - Bushra Sabir, Muhammad Ali Babar, Raj Gaire:
An Evasion Attack against ML-based Phishing URL Detectors. - Junran Peng, Xingyuan Bu, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan:
Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels. - Bingyu Liu, Zhen Zhao, Zhenpeng Li, Jianan Jiang, Yuhong Guo, Jieping Ye:
Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification. - Huaidong Zhang, Xuemiao Xu, Guoqiang Han, Shengfeng He:
Context-aware and Scale-insensitive Temporal Repetition Counting. - Yao Chen, Xin Long, Jiong He, Yuhang Chen, Hongshi Tan, Zhenxiang Zhang, Marianne Winslett, Deming Chen:
HaoCL: Harnessing Large-scale Heterogeneous Processors Made Easy. - Debashis Mukherjee:
An error reduced and uniform parameter approximation in fitting of B-spline curves to data points. - Abhijit Mahabal, Jason Baldridge, Burcu Karagol Ayan, Vincent Perot, Dan Roth:
Text Classification with Few Examples using Controlled Generalization. - You Chen, Guyue Li, Chen Sun, Junqing Zhang, Eduard A. Jorswieck, Bin Xiao:
Beam-Domain Secret Key Generation for Multi-User Massive MIMO Networks. - Yuan He, Jinyu Jiao, Thang Cao, Masaaki Kondo:
Energy-Efficient On-Chip Networks through Profiled Hybrid Switching. - Wenjing Fang, Chaochao Chen, Jin Tan, Chaofan Yu, Yufei Lu, Li Wang, Lei Wang, Jun Zhou, Alex X:
A Hybrid-Domain Framework for Secure Gradient Tree Boosting. - Nan Wang, Xuanhui Wang, Hongning Wang:
Unbiased Learning to Rank via Propensity Ratio Scoring. - Yang Li, Gang Liu, Mingyuan Bai, Junbin Gao, Lixin Ye, Zi Ming:
CSD: Discriminance with Conic Section for Improving Reverse k Nearest Neighbors Queries. - Kyuyong Shin, Wonyoung Shin, Jung-Woo Ha, Sunyoung Kwon:
Graphs, Entities, and Step Mixture. - He Lyu, Rongrong Wang:
Sigma Delta quantization for images. - Ye Liu, Chen Shen:
Optimal Emergency Frequency Control Based on Coordinated Droop in Multi-Infeed Hybrid AC-DC System. - Cheng Gong, Yao Chen, Ye Lu, Tao Li, Cong Hao, Deming Chen:
VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization. - Hannah Alsdurf, Yoshua Bengio, Tristan Deleu, Prateek Gupta, Daphne Ippolito, Richard Janda, Max Jarvie, Tyler Kolody, Sekoul Krastev, Tegan Maharaj, Robert Obryk, Dan Pilat, Valerie Pisano, Benjamin Prud'homme, Meng Qu, Nasim Rahaman, Irina Rish, Jean-Franois Rousseau, Abhinav Sharma, Brooke Struck, Jian Tang, Martin Weiss, Yun William Yu:
COVI White Paper. - Manoel Horta Ribeiro, Kristina Gligoric, Maxime Peyrard, Florian Lemmerich, Markus Strohmaier, Robert West:
Sudden Attention Shifts on Wikipedia Following COVID-19 Mobility Restrictions. - Pascal Bianchi, Walid Hachem, Sholom Schechtman:
Convergence of constant step stochastic gradient descent for non-smooth non-convex functions. - Cunjun Yu, Xiao Ma, Jiawei Ren, Haiyu Zhao, Shuai Yi:
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction. - Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Chitta Baral:
Towards Question Format Independent Numerical Reasoning: A Set of Prerequisite Tasks. - Joël Colloc, Danielle Boulanger:
Automatic Knowledge Acquisition for Object-Oriented Expert Systems. - Hanna Abi Akl, Dominique Mariko, Estelle Labidurie:
SemEval-2020 Task 5: Detecting Counterfactuals by Disambiguation. - Adrian Lancucki, Jan Chorowski, Guillaume Sanchez, Ricard Marxer, Nanxin Chen, Hans J. G. A. Dolfing, Sameer Khurana, Tanel Alumäe, Antoine Laurent:
Robust Training of Vector Quantized Bottleneck Models. - Yang Li, Shengbin Meng, Xinfeng Zhang, Shiqi Wang, Yue Wang, Siwei Ma:
User-generated Video Quality Assessment: A Subjective and Objective Study. - Huan-Yan Jian, Ting-Zhu Huang, Xian-Ming Gu, Xi-Le Zhao, Yong-Liang Zhao:
Fast second-order implicit difference schemes for time distributed-order and Riesz space fractional diffusion-wave equations. - Gareth Young, Hamish Milne, Daniel Griffiths, Elliot Padfield, Robert Blenkinsopp, Orestis Georgiou:
Designing Mid-Air Haptic Gesture Controlled User Interfaces for Cars. - Alex Pellegrini, Luca Zanolini:
An Algebraic Model For Quorum Systems. - Joachim A. Behar, Chengyu Liu, Kenta Tsutsui, Valentina D. A. Corino, Janmajay Singh, Marco A. F. Pimentel, Walter Karlen, Philip Warrick, Sebastian Zaunseder, Fernando Andreotti, Maxim Osipov, Patrick E. McSharry, Kevin Kotzen, Chandan K. Karmakar, Gari D. Clifford:
Remote health monitoring in the time of COVID-19. - Ester Livshits, Alireza Heidari, Ihab F. Ilyas, Benny Kimelfeld:
Approximate Denial Constraints. - Bossoto Bossoto, Mamadou Mboup, Alain Yger:
A tropical geometry approach to BIBO stability. - Yu-Pin Hsu, I-Hong Hou, Alex Sprintson:
Joint Index Coding and Incentive Design for Selfish Clients. - Jorge Villagra, Cédric Join, Rodolfo E. Haber, Michel Fliess:
Model-free control for machine tools. - Ping Liu, Yunchao Wei, Zibo Meng, Weihong Deng, Joey Tianyi Zhou, Yi Yang:
Omni-supervised Facial Expression Recognition: A Simple Baseline. - Antoine Aspeel, Amaury Gouverneur, Raphaël M. Jungers, Benoît Macq:
Optimal measurement budget allocation for particle filtering. - Sudarshan S. Harithas, Biswajit Pardia:
Development of GenNav: A Generic Indoor Navigation System for any Mobile Robot. - Florentin Putz, Flor Álvarez, Jiska Classen:
Acoustic Integrity Codes: Secure Device Pairing Using Short-Range Acoustic Communication. - Gauri Deshpande, Björn W. Schuller:
An Overview on Audio, Signal, Speech, & Language Processing for COVID-19. - Simon Mauras:
Two-Sided Random Matching Markets: Ex-Ante Equivalence of the Deferred Acceptance Procedures. - Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Shekhar Maddila:
Product Insights: Analyzing Product Intents in Web Search. - Reent Schlegel, Siddhartha Kumar, Eirik Rosnes, Alexandre Graell i Amat:
Private Edge Computing for Linear Inference Based on Secret Sharing. - Maha Elbayad, Laurent Besacier, Jakob Verbeek:
Efficient Wait-k Models for Simultaneous Machine Translation. - Wendi Ji, Keqiang Wang, Xiaoling Wang, Tingwei Chen, Alexandra I. Cristea:
Hybrid Sequential Recommender via Time-aware Attentive Memory Network. - Dimitrios Tsitsigkos, Konstantinos Lampropoulos, Panagiotis Bouros, Nikos Mamoulis, Manolis Terrovitis:
A Two-level Spatial In-Memory Index. - Yuhuang Hu, Jonathan Binas, Daniel Neil, Shih-Chii Liu, Tobi Delbrück:
DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction. - You Jin Kim, Hee Soo Heo, Soo-Whan Chung, Bong-Jin Lee:
End-to-End Lip Synchronisation. - Dmitry Senushkin, Ilia Belikov, Anton Konushin:
Decoder Modulation for Indoor Depth Completion. - Pál András Papp, Roger Wattenhofer:
On the Hardness of Red-Blue Pebble Games. - Sadaf Salehkalaibar, Michèle A. Wigger:
Distributed Hypothesis Testing with Variable-Length Coding. - Zoltán Kmetty, Júlia Koltai, Tamás Rudas:
The presence of occupational structure in online texts based on word embedding NLP models. - Hazem A. Abdelghany, Carlos Ocampo-Martinez, Nicanor Quijano:
Online Network-Constrained Dispatch of Distributed Generators in Radial Networks. - Debasis Dwibedy, Rakesh Mohanty:
Semi-online Scheduling: A Survey. - Karol Fabian, Jozef Michal Mintal:
Cognitive Analysis of Security Threats on Social Networking Services: Slovakia in need of stronger action. - Riccardo La Grassa, Ignazio Gallo, Nicola Landro:
Learn Class Hierarchy using Convolutional Neural Networks. - Na Li, Xinbo Zhao, Chong Ma:
A model-based Gait Recognition Method based on Gait Graph Convolutional Networks and Joints Relationship Pyramid Mapping. - Wenbo Li, Yaodong Cui, Yintao Ma, Xingxin Chen, Guofa Li, Gang Guo, Dongpu Cao:
A Spontaneous Driver Emotion Facial Expression (DEFE) Dataset for Intelligent Vehicles. - Takato Yasuno, Michihiro Nakajima, Tomoharu Sekiguchi, Kazuhiro Noda, Kiyoshi Aoyanagi, Sakura Kato:
Synthetic Image Augmentation for Damage Region Segmentation using Conditional GAN with Structure Edge. - Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei, Mark Crowley, Hamid R. Tizhoosh:
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. - Seungwoo Yoo, Heeseok Lee, Heesoo Myeong, Sungrack Yun, Hyoungwoo Park, Janghoon Cho, Duck Hoon Kim:
End-to-End Lane Marker Detection via Row-wise Classification. - Saeideh Khatiry Goharoodi, Kevin Dekemele, Mia Loccufier, Luc Dupré, Guillaume Crevecoeur:
Evolutionary-Based Sparse Regression for the Experimental Identification of Duffing Oscillator. - Sandesh Kamath, Amit Deshpande, K. V. Subrahmanyam:
Universalization of any adversarial attack using very few test examples. - Xiangjun Peng, Zhentao Huang, Xu Sun:
Building BROOK: A Multi-modal and Facial Video Database for Human-Vehicle Interaction Research. - Joydip Dhar, Ashaya Shukla, Mukul Kumar, Prashant Gupta:
A Weighted Mutual k-Nearest Neighbour for Classification Mining. - Lalit Lakshmanan, Yash Vora, Raj Ghate:
Deep Learning Based Vehicle Tracking System Using License Plate Detection And Recognition. - Kushal Kanti Ghosh, Ritam Guha, Soulib Ghosh, Suman Kumar Bera, Ram Sarkar:
Atom Search Optimization with Simulated Annealing - a Hybrid Metaheuristic Approach for Feature Selection. - Utkarsh Chandra Srivastava, Dhruv Upadhyay, Vinayak Sharma:
Intracranial Hemorrhage Detection Using Neural Network Based Methods With Federated Learning. - Jevgenij Gamper, Navid Alemi Koohbanani, Nasir M. Rajpoot:
Multi-Task Learning in Histo-pathology for Widely Generalizable Model. - Shijie Geng, Ji Zhang, Zuohui Fu, Peng Gao, Hang Zhang, Gerard de Melo:
Character Matters: Video Story Understanding with Character-Aware Relations. - Sara Moccia, Lucia Migliorelli, Virgilio Paolo Carnielli, Emanuele Frontoni:
Preterm infants' pose estimation with spatio-temporal features. - Chih-Fan Hsu, Chia-Ching Lin, Ting-Yang Hung, Chin-Laung Lei, Kuan-Ta Chen:
A Detailed Look At CNN-based Approaches In Facial Landmark Detection. - Marek Rychlik, Dwight Nwaigwe, Yan Han, Dylan Murphy:
Development of a New Image-to-text Conversion System for Pashto, Farsi and Traditional Chinese. - Avishek Anand, Lawrence Cavedon, Matthias Hagen, Hideo Joho, Mark Sanderson, Benno Stein:
Conversational Search - A Report from Dagstuhl Seminar 19461. - Kudo Fumiko, Hiromi Arai, Arisa Ema:
Ethical Issues Regarding the Use of AI Profiling Services for Recruiting: The Japanese Rikunabi Data Scandal. - Tim Stahl, Alexander Wischnewski, Johannes Betz, Markus Lienkamp:
Multilayer Graph-Based Trajectory Planning for Race Vehicles in Dynamic Scenarios. - Shixiang Zhu, Ruyi Ding, Minghe Zhang, Pascal Van Hentenryck, Yao Xie:
Spatio-Temporal Point Processes with Attention for Traffic Congestion Event Modeling. - Ying Cao, Bo Sun, Danny H. K. Tsang:
Delay-Aware Scheduling over mmWave/Sub-6 Dual Interfaces: A Reinforcement Learning Approach. - Gábor Kismihók, Catherine Zhao, Michaéla C. Schippers, Stefan T. Mol, Scott Harrison, Shady Shehata:
Translating the Concept of Goal Setting into Practice - What 'Else' does it Require than a Goal Setting Tool? - Raktim Bhattacharya:
Data Assimilation in Optimal Transport Framework. - Puoya Tabaghi, Ivan Dokmanic:
Hyperbolic Distance Matrices. - Emiliano De Cristofaro:
An Overview of Privacy in Machine Learning. - Abdolrahman Peimankar, Sadasivan Puthusserypady:
DENS-ECG: A Deep Learning Approach for ECG Signal Delineation. - Zhichao Shao, Lukas T. N. Landau, Rodrigo C. de Lamare:
Study of Channel Estimation Algorithms for Large-Scale Multiple-Antenna Systems using 1-Bit ADCs and Oversampling. - Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Information-theoretic analysis for transfer learning. - John Brandt, Fred Stolle:
A global method to identify trees inside and outside of forests with medium-resolution satellite imagery. - Zhongwu Xie, Weipeng Cao, Xizhao Wang, Zhong Ming, Jingjing Zhang, Jiyong Zhang:
A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning. - Tianyi Pan, Subhankar Mishra, Lan N. Nguyen, Gunhee Lee, Jungmin Kang, Jungtaek Seo, My T. Thai:
Threat from being Social: Vulnerability Analysis of Social Network Coupled Smart Grid. - Lu Zhang, Jian Zhang, Zhibin Li, Jingsong Xu:
Towards Better Graph Representation: Two-Branch Collaborative Graph Neural Networks for Multimodal Marketing Intention Detection. - Dominik Adam Kus, István Koren, Ralf Klamma:
A Link Generator for Increasing the Utility of OpenAPI-to-GraphQL Translations. - Hugo Sica de Andrade, Ivica Crnkovic, Jan Bosch:
Refactoring Software in the Automotive Domain for Execution on Heterogeneous Platforms. - Grant McKenzie, Benjamin Adams:
A country comparison of place-based activity response to COVID-19 policies. - Mohammad Saiful Islam, Andriy V. Miranskyy:
Anomaly Detection in Cloud Components. - Andreas Bock, Colin J. Cotter:
Space-time metamorphosis. - Mhd Wesam Al Nabki, Francisco Jáñez-Martino, Roberto A. Vasco-Carofilis, Eduardo Fidalgo, Javier Velasco-Mata:
Improving Named Entity Recognition in Tor Darknet with Local Distance Neighbor Feature. - Peter Grönquist, Chengyuan Yao, Tal Ben-Nun, Nikoli Dryden, Peter Dueben, Shigang Li, Torsten Hoefler:
Deep Learning for Post-Processing Ensemble Weather Forecasts. - Mathieu Nassif, Alexa Hernandez, Ashvitha Sridharan, Martin P. Robillard:
Generating Unit Tests for Documentation. - Núria Bautista-Puig, Carmen López-Illescas, Félix de Moya-Anegón, Vicente P. Guerrero-Bote, Henk F. Moed:
Do journals flipping to Gold Open Access show an OA Citation or Publication Advantage? - Subhankar Mishra:
Cyberattack on the Microgrids Through Price Modification. - Mhd Wesam Al Nabki, Eduardo Fidalgo, Roberto A. Vasco-Carofilis, Francisco Jáñez-Martino, Javier Velasco-Mata:
Evaluating Performance of an Adult Pornography Classifier for Child Sexual Abuse Detection. - Urban Duh, Gregor Kosec, Jure Slak:
Fast variable density node generation on parametric surfaces with application to mesh-free methods. - Minho Kim, Jongchan Baek, Soohee Han:
Optimal Charging Method for Effective Li-ion Battery Life Extension Based on Reinforcement Learning. - Elad Hirsch, Ayellet Tal:
A Statistical Story of Visual Illusions. - Francisco Jáñez-Martino, Eduardo Fidalgo, Santiago González-Martínez, Javier Velasco-Mata:
Classification of Spam Emails through Hierarchical Clustering and Supervised Learning. - Jian-Feng Cai, Jingzhi Li, Xiliang Lu, Juntao You:
Sparse Signal Recovery From Phaseless Measurements via Hard Thresholding Pursuit. - Dmitri Kuzmin, Manuel Quezada de Luna:
Entropy conservation property and entropy stabilization of high-order continuous Galerkin approximations to scalar conservation laws. - David Kinney, David S. Watson:
Causal Feature Learning for Utility-Maximizing Agents. - Sergey Zinin, Yang Xu:
Corpus of Chinese Dynastic Histories: Gender Analysis over Two Millennia. - Christian Cachin, Luca Zanolini:
Asymmetric Byzantine Consensus. - Samuel Allen Alexander:
AGI and the Knight-Darwin Law: why idealized AGI reproduction requires collaboration. - Ehsan Haghighat, Ruben Juanes:
SciANN: A Keras wrapper for scientific computations and physics-informed deep learning using artificial neural networks. - Jens-Andreas Hanssen Rensaa, Danilo Gligoroski, Katina Kralevska, Anton Hasselgren, Arild Faxvaag:
VerifyMed - A blockchain platform for transparent trust in virtualized healthcare: Proof-of-concept. - Sean MacAvaney, Franck Dernoncourt, Walter Chang, Nazli Goharian, Ophir Frieder:
Interaction Matching for Long-Tail Multi-Label Classification. - Yang Chen, Zongqing Lu, Xuechen Zhang, Lei Chen, Qingmin Liao:
Noise-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer. - Jiangning Zhang, Liang Liu, Chao Xu, Yong Liu:
Hierarchical and Efficient Learning for Person Re-Identification. - Jia Xue, Junxiang Chen, Chen Chen, ChengDa Zheng, Tingshao Zhu:
Machine learning on Big Data from Twitter to understand public reactions to COVID-19. - Azzam Mourad, Ali Srour, Haidar Harmanani, Cathia Jenainatiy, Mohamad Arafeh:
Critical Impact of Social Networks Infodemic on Defeating Coronavirus COVID-19 Pandemic: Twitter-Based Study and Research Directions. - Hermann Kroll, Jan Pirklbauer, Johannes Ruthmann, Wolf-Tilo Balke:
A Semantically Enriched Dataset based on Biomedical NER for the COVID19 Open Research Dataset Challenge. - Kate McCurdy, Sharon Goldwater, Adam Lopez:
Inflecting when there's no majority: Limitations of encoder-decoder neural networks as cognitive models for German plurals. - Chen Wang, Wenshan Wang, Yuheng Qiu, Yafei Hu, Sebastian A. Scherer:
Visual Memorability for Robotic Interestingness via Unsupervised Online Learning. - Slobodan Milanko, Alexander Launi, Shubham Jain:
Designing Just-in-Time Detection for Gamified Fitness Frameworks. - Yasemin Karacora, Aydin Sezgin:
An Energy-Efficient Event-Based MIMO Communication Scheme for UAV Formation Control. - Nurcan Gecer Ulu, Svyatoslav Korneev, Erva Ulu, Saigopal Nelaturi:
Sliding Basis Optimization for Heterogeneous Material Design. - Yue Guan, Leiting Dong, Satya N. Atluri:
A New Meshless "Fragile Points Method (FPM)" Based on A Galerkin Weak-Form for 2D Flexoelectric Analysis. - Donghoon Lee:
Entropy-Augmented Entropy-Regularized Reinforcement Learning and a Continuous Path from Policy Gradient to Q-Learning. - Matthew T. Patrick:
Exploring Software Reusability Metrics with Q&A Forum Data. - Xin Liu, Jiancheng Li, Jiaqi Wang, Ziwei Liu:
MMFashion: An Open-Source Toolbox for Visual Fashion Analysis. - Raphael Lenain, Jack Weston, Abhishek Shivkumar, Emil Fristed:
Surfboard: Audio Feature Extraction for Modern Machine Learning. - Matthew S. Nokleby, Haroon Raja, Waheed U. Bajwa:
Scaling-up Distributed Processing of Data Streams for Machine Learning. - Yuan Gao, Guangzhen Jin, Jian-Guo Liu:
Inbetweening auto-animation via Fokker-Planck dynamics and thresholding. - Khashayar Filom, Konrad Paul Körding, Roozbeh Farhoodi:
PDE constraints on smooth hierarchical functions computed by neural networks. - Katherine McCurdy, Oguz Serbetçi:
Grammatical gender associations outweigh topical gender bias in crosslinguistic word embeddings. - Sam Coope, Tyler Farghly, Daniela Gerz, Ivan Vulic, Matthew Henderson:
Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations. - Hiroki Kobayashi, Kentaro Yaji, Shintaro Yamasaki, Kikuo Fujita:
Topology design of two-fluid heat exchange. - Tobias Huber, Katharina Weitz, Elisabeth André, Ofra Amir:
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps. - Michael Kohlhase, Florian Rabe, Makarius Wenzel:
Making Isabelle Content Accessible in Knowledge Representation Formats. - Yi Zhou, Jingwan Lu, Connelly Barnes, Jimei Yang, Sitao Xiang, Hao Li:
Generative Tweening: Long-term Inbetweening of 3D Human Motions. - Tian Tong, Cong Ma, Yuejie Chi:
Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent. - Federico Poloni:
Iterative and doubling algorithms for Riccati-type matrix equations: a comparative introduction. - Gianluca Manzo, Arnout van de Rijt:
Halting SARS-CoV-2 by Targeting High-Contact Individuals. - (Withdrawn) Man vs machine: an experimental study of geosteering decision skills.
- Suprovat Ghoshal, Anand Louis:
Approximation Algorithms and Hardness for Strong Unique Games. - Seungmo Kim, Byung Jun Kim:
Novel Backoff Mechanism for Mitigation of Congestion in DSRC Broadcast. - Constantinos Marios Angelopoulos, Amalia Damianou, Vasilios Katos:
DHP Framework: Digital Health Passports Using Blockchain - Use case on international tourism during the COVID-19 pandemic. - Xuaner Cecilia Zhang, Jonathan T. Barron, Yun-Ta Tsai, Rohit Pandey, Xiuming Zhang, Ren Ng, David E. Jacobs:
Portrait Shadow Manipulation. - Patrick Kidger, James Morrill, James Foster, Terry J. Lyons:
Neural Controlled Differential Equations for Irregular Time Series. - Zechun Liu, Xiangyu Zhang, Zhiqiang Shen, Zhe Li, Yichen Wei, Kwang-Ting Cheng, Jian Sun:
Joint Multi-Dimension Pruning. - Johnathan E. Avery, Robert L. Goldstone, Michael N. Jones:
Reconstructing Maps from Text. - Keping Bi, Qingyao Ai, W. Bruce Croft:
A Transformer-based Embedding Model for Personalized Product Search. - János Végh:
Which scaling rule applies to Artificial Neural Networks. - Kevin Feng:
Saving the Sonorine: Photovisual Audio Recovery Using Image Processing and Computer Vision Techniques. - Fatemah Husain:
Arabic Offensive Language Detection Using Machine Learning and Ensemble Machine Learning Approaches. - Nuri Mert Vural, Fatih Ilhan, Selim Firat Yilmaz, Suleyman Serdar Kozat:
Achieving Online Regression Performance of LSTMs with Simple RNNs. - Tommy Nilsson, Joel E. Fischer, Andy Crabtree, Murray Goulden, Jocelyn Spence, Enrico Costanza:
Visions, Values, and Videos: Revisiting Envisionings in Service of UbiComp Design for the Home. - Toby Walsh:
On the Complexity of Breaking Symmetry. - Pasquale De Meo, Mark Levene, Alessandro Provetti:
Potential gain as a centrality measure. - Nithin V. Sabu, Abhishek K. Gupta:
Analysis of Diffusion Based Molecular Communication System with Multiple Transmitters. - Aviram Imber, Benny Kimelfeld:
Computing the Extremal Possible Ranks with Incomplete Preferences. - Jana Korunovska, Bernadette Kamleitner, Sarah Spiekermann:
The Challenges and Impact of Privacy Policy Comprehension. - Zhuoran Ma, Jianfeng Ma, Yinbin Miao, Ximeng Liu, Wei Zheng, Kim-Kwang Raymond Choo, Robert H. Deng:
VerifyTL: Secure and Verifiable Collaborative Transfer Learning. - Xuebin Qin, Zichen Zhang, Chenyang Huang, Masood Dehghan, Osmar R. Zaïane, Martin Jägersand:
U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection. - Marcin Szymczak, Joost-Pieter Katoen:
Weakest Preexpectation Semantics for Bayesian Inference. - Hana Alghamdi, Rozenn Dahyot:
Patch based Colour Transfer using SIFT Flow. - Anthony C. Constantinou, Yang Liu, Kiattikun Chobtham, Zhigao Guo, Neville Kenneth Kitson:
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data. - Tal Amir, Ronen Basri, Boaz Nadler:
The Trimmed Lasso: Sparse Recovery Guarantees and Practical Optimization by the Generalized Soft-Min Penalty. - Nazifa Azam Khan, Oliver A. S. Lyon, Mark G. Eramian, Ian McQuillan:
A Novel Technique Combining Image Processing, Plant Development Properties, and the Hungarian Algorithm, to Improve Leaf Detection in Maize. - Felix Ruppert, Alexander Badri-Spröwitz:
FootTile: a Rugged Foot Sensor for Force and Center of Pressure Sensing in Soft Terrain. - Benjamin Gutelman, Pavel Levin:
Efficient Image Gallery Representations at Scale Through Multi-Task Learning. - Rajan Walia, Chung-chieh Shan, Sam Tobin-Hochstadt:
Sham: A DSL for Fast DSLs. - Shahaf E. Finder, Eran Treister, Oren Freifeld:
Effective Learning of a GMRF Mixture Model. - Ana Paula Gomes Ferreira, Thiago Henrique Silva, Antonio A. F. Loureiro:
Uncovering Spatiotemporal and Semantic Aspects of Tourists Mobility Using Social Sensing. - Fuyuan Lyu, Shien Zhu, Weichen Liu:
Cross-filter compression for CNN inference acceleration. - Harrie Oosterhuis, Maarten de Rijke:
Policy-Aware Unbiased Learning to Rank for Top-k Rankings. - Jeremiah Blocki, Wuwei Zhang:
DALock: Distribution Aware Password Throttling. - Arpita Patra, Ajith Suresh:
BLAZE: Blazing Fast Privacy-Preserving Machine Learning. - Kevin Moran, David N. Palacio, Carlos Bernal-Cárdenas, Daniel McCrystal, Denys Poshyvanyk, Chris Shenefiel, Jeff Johnson:
Improving the Effectiveness of Traceability Link Recovery using Hierarchical Bayesian Networks. - Padraig Cunningham, Sarah Jane Delany:
Algorithmic Bias and Regularisation in Machine Learning. - Carlos Bernal-Cárdenas, Nathan Cooper, Kevin Moran, Oscar Chaparro, Andrian Marcus, Denys Poshyvanyk:
Translating Video Recordings of Mobile App Usages into Replayable Scenarios. - Max E. Savery, Asma Ben Abacha, Soumya Gayen, Dina Demner-Fushman:
Question-Driven Summarization of Answers to Consumer Health Questions. - Branden Romero, Filipe Veiga, Edward H. Adelson:
Soft, Round, High Resolution Tactile Fingertip Sensors for Dexterous Robotic Manipulation. - Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, Partha P. Talukdar:
P-SIF: Document Embeddings Using Partition Averaging. - George C. Bourantas, Benjamin F. Zwick, Grand R. Joldes, Adam Wittek, Karol Miller:
Simple and robust element-free Galerkin method with interpolating shape functions for finite deformation elasticity. - Teng Zhao, Yongxing Shen:
A Nonlocal Model for Dislocations with Embedded Discontinuity Peridynamics. - Turgay Pamuklu, Cem Ersoy:
GROVE: A Cost-Efficient Green Radio over Ethernet Architecture for Next Generation Radio Access Network. - Chao Wang, Shaofan Li, Danielle Zeng, Xinhai Zhu:
An Artificial-intelligence/Statistics Solution to Quantify Material Distortion for Thermal Compensation in Additive Manufacturing. - Alexandru Iosup, Catia Trubiani, Anne Koziolek, José Nelson Amaral, Andre B. Bondi, Andreas Brunnert:
Flexibility Is Key in Organizing a Global Professional Conference Online: The ICPE 2020 Experience in the COVID-19 Era. - Steven Holtzen, Guy Van den Broeck, Todd D. Millstein:
Dice: Compiling Discrete Probabilistic Programs for Scalable Inference. - Isha Ghodgaonkar, Abhinav Goel, Fischer Bordwell, Caleb Tung, Sarah Aghajanzadeh, Noah Curran, Ryan Chen, Kaiwen Yu, Sneha Mahapatra, Vishnu Banna, Gore Kao, Kate Lee, Xiao Hu, Nick Eliopolous, Akhil Chinnakotla, Damini Rijhwani, Ashley Kim, Aditya Chakraborty, Mark Daniel Ward, Yung-Hsiang Lu, George K. Thiruvathukal:
Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras. - Shijie Wu, Mark Dredze:
Are All Languages Created Equal in Multilingual BERT? - Sean Trott, Tiago Timponi Torrent, Nancy Chang, Nathan Schneider:
(Re)construing Meaning in NLP. - Kostadin Kushlev, Matthew R. Leitao:
The Effects of Smartphones on Well-Being: Theoretical Integration and Research Agenda. - Steven Dargaville, Andrew G. Buchan, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain:
A comparison of element agglomeration algorithms for unstructured geometric multigrid. - Lior Shafir, Yehuda Afek, Anat Bremler-Barr:
NXNSAttack: Recursive DNS Inefficiencies and Vulnerabilities. - Liangbei Xu, Mark A. Davenport:
Dynamic Knowledge embedding and tracing. - Voncarlos M. Araújo, Alceu S. Britto Jr., Luiz E. S. Oliveira, Alessandro L. Koerich:
Two-View Fine-grained Classification of Plant Species. - Reza Behrou, Maroun Abi Ghanem, Brianna C. Macnider, Vimarsh Verma, Ryan Alvey, Jinho Hong, Ashley F. Emery, Hyunsun Alicia Kim, Nicholas Boechler:
Topology optimization of nonlinear periodically microstructured materials for tailored homogenized constitutive properties. - Simran Arora, Avner May, Jian Zhang, Christopher Ré:
Contextual Embeddings: When Are They Worth It? - Shuhao Fu, Yongyi Lu, Yan Wang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation. - Manuel Mager, Ramón Fernandez Astudillo, Tahira Naseem, Md. Arafat Sultan, Young-Suk Lee, Radu Florian, Salim Roukos:
GPT-too: A language-model-first approach for AMR-to-text generation. - Yong Li, Moshe Y. Vardi, Lijun Zhang:
On the Power of Unambiguity in Büchi Complementation. 182-198 - Rahul Shome, Kostas E. Bekris:
Synchronized Multi-Arm Rearrangement Guided by Mode Graphs with Capacity Constraints. - Matthew Roddy, Naomi Harte:
Neural Generation of Dialogue Response Timings. - Boxiang Liu, Liang Huang:
NEJM-enzh: A Parallel Corpus for English-Chinese Translation in the Biomedical Domain. - Xin Zang, Wanchun Liu, Yonghui Li, Branka Vucetic:
Over-the-Air Computation Systems: Optimal Design with Sum-Power Constraint. - Mina Zaminkar, Reza Fotohi:
SoS-RPL: Securing Internet of Things Against Sinkhole Attack Using RPL Protocol-Based Node Rating and Ranking Mechanism. - Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska:
ExSample: Efficient Searches on Video Repositories through Adaptive Sampling. - Mohanad Obeed, Hayssam Dahrouj, Anas M. Salhab, Anas Chaaban, Salam A. Zummo, Mohamed-Slim Alouini:
Power Allocation and Link Selection for Multicell Cooperative NOMA Hybrid VLC/RF Systems. - Linhai Ma, Liang Liang:
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks. - Rong Ou:
Out-of-Core GPU Gradient Boosting. - Zihan Ye, Fuyuan Hu, Yin Liu, Zhenping Xia, Fan Lyu, Pengqing Liu:
Associating Multi-Scale Receptive Fields for Fine-grained Recognition. - Alireza Sadeghi, Georgios B. Giannakis, Gang Wang, Fatemeh Sheikholeslami:
Reinforcement Learning for Caching with Space-Time Popularity Dynamics. - Martin J. Gander, Jun Liu, Shu-Lin Wu, Xiaoqiang Yue, Tao Zhou:
ParaDIAG: Parallel-in-Time Algorithms Based on the Diagonalization Technique. - Hangyu Lin, Yanwei Fu, Yu-Gang Jiang, Xiangyang Xue:
Sketch-BERT: Learning Sketch Bidirectional Encoder Representation from Transformers by Self-supervised Learning of Sketch Gestalt. - Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao:
Adversarial Attacks for Embodied Agents. - Mohammad Hossein Fazel Zarandi, Shahabeddin Sotudian, Oscar Castillo:
A New Validity Index for Fuzzy-Possibilistic C-Means Clustering. - Yuang Liu, Wei Zhang, Jun Wang:
Learning from a Lightweight Teacher for Efficient Knowledge Distillation. - Xixi Xu, Chao Lu, Liang Zhu, Xiangyang Xue, Guanxian Chen, Qi Guo, Yining Lin, Zhijian Zhao:
MOTS: Multiple Object Tracking for General Categories Based On Few-Shot Method. - Yoshifumi Sakai, Shunsuke Inenaga:
A reduction of the dynamic time warping distance to the longest increasing subsequence length. - Jeffrey Z. Pan, Nicholas Zufelt:
On Intrinsic Dataset Properties for Adversarial Machine Learning. - Yong Hu, Heyan Huang, Anfan Chen, Xianling Mao:
Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo. - Seito Kasai, Yuchi Ishikawa, Masaki Hayashi, Yoshimitsu Aoki, Kensho Hara, Hirokatsu Kataoka:
Retrieving and Highlighting Action with Spatiotemporal Reference. - Shijun Wang, Baocheng Zhu, Lintao Ma, Yuan Qi:
A Riemannian Primal-dual Algorithm Based on Proximal Operator and its Application in Metric Learning. - Shijun Wang, Baocheng Zhu, Chen Li, Mingzhe Wu, James Zhang, Wei Chu, Yuan Qi:
Riemannian Proximal Policy Optimization. - James J. Nutaro, Özgür Özmen:
Quantifying the Uncertainty of Precision Estimates for Rule based Text Classifiers. - Mansoor Ahmed-Rengers:
FrameProv: Towards End-To-End Video Provenance. - Zhiyu Huang, Chen Lv, Yang Xing, Jingda Wu:
Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding. - Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Yinan Xu, Brian D. Davison:
Table Search Using a Deep Contextualized Language Model. - Bashir Rastegarpanah, Mark Crovella, Krishna P. Gummadi:
Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy. - Andrey Krutauz, Tapajit Dey, Peter C. Rigby, Audris Mockus:
Do Code Review Measures Explain the Incidence of Post-Release Defects? - Jia-Fong Yeh, Hsin-Ying Lee, Bing-Chen Tsai, Yi-Rong Chen, Ping-Chia Huang, Winston H. Hsu:
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning. - Pierre-Alexandre Kamienny, Kai Arulkumaran, Feryal M. P. Behbahani, Wendelin Boehmer, Shimon Whiteson:
Privileged Information Dropout in Reinforcement Learning. - Vivek Deulkar, Jayakrishnan Nair:
Pareto-optimal energy sharing between battery-equipped renewable generators. - Bo Xu, Xu Zhang, Zhixin Li, Matthew J. Leotta, Shih-Fu Chang, Jie Shan:
Deep Learning Guided Building Reconstruction from Satellite Imagery-derived Point Clouds. - David Wadden, Tal August, Qisheng Li, Tim Althoff:
The Effect of Moderation on Online Mental Health Conversations. - Zhixin Li, Wenyuan Zhang, Jie Shan:
Holistic Parameteric Reconstruction of Building Models from Point Clouds. - Chong Peng, Zhilu Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng:
Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering. - Dongming Wei, Sahar Ahmad, Yunzhi Huang, Lei Ma, Qian Wang, Pew-Thian Yap, Dinggang Shen:
An Auto-Context Deformable Registration Network for Infant Brain MRI. - Yun-Fei Fu, Bernard Rolfe, Ngai Sum Louis Chiu, Yanan Wang, Xiaodong Huang, Kazem Ghabraie:
SEMDOT: Smooth-Edged Material Distribution for Optimizing Topology Algorithm. - Lu Ma, Hua Huang, Pei Zhao, Tengrong Su:
Acoustic Echo Cancellation by Combining Adaptive Digital Filter and Recurrent Neural Network. - Lu Ma, Xin Zhao, Pei Zhao, Tengrong Su:
A Lite Microphone Array Beamforming Scheme with Maximum Signal-to-Noise Ratio Filter. - Michael Bowman, Songpo Li, Xiaoli Zhang:
Robust Robot-assisted Tele-grasping Through Intent-Uncertainty-Aware Planning. - Damien Teney, Kushal Kafle, Robik Shrestha, Ehsan Abbasnejad, Christopher Kanan, Anton van den Hengel:
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. - Lu Ma, Haiping Zhang, Pei Zhao, Tengrong Su:
Competitive Wakeup Scheme for Distributed Devices. - Guido Carlo Ferrante:
Approaching Capacity Without Pilots via Nonlinear Processing at the Edge. - Xavier Bultel, Jannik Dreier, Jean-Guillaume Dumas, Pascal Lafourcade:
A Faster Cryptographer's Conspiracy Santa. - Rajeev Bhatt Ambati, Ahmed Ada Hanifi, Ramya Vunikili, Puneet Sharma, Oladimeji Farri:
Assertion Detection in Multi-Label Clinical Text using Scope Localization. - Mengxiao Zhang, Fernando Beltrán, Jiamou Liu:
Selling Data at an Auction under Privacy Constraints. - Anubhav Jangra, Sriparna Saha, Adam Jatowt, Mohammed Hasanuzzaman:
Multi-Modal Summary Generation using Multi-Objective Optimization. - Gilles Geeraerts, Shibashis Guha, Guillermo A. Pérez, Jean-François Raskin:
Safe Learning for Near Optimal Scheduling. - Aishan Liu, Jiakai Wang, Xianglong Liu, Chongzhi Zhang, Bowen Cao, Hang Yu:
Patch Attack for Automatic Check-out. - Hayder Raheem Hashim, Alexandra Molnár, Szabolcs Tengely:
Cryptanalysis of ITRU. - Jirí Martínek, Christophe Cerisara, Pavel Král, Ladislav Lenc:
Cross-lingual Transfer Learning for Dialogue Act Recognition. - Manoj Gupta, Rahul Jain, Nitiksha Modi:
Multiple Source Replacement Path Problem. - Qiantong Xu, Tatiana Likhomanenko, Jacob Kahn, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert:
Iterative Pseudo-Labeling for Speech Recognition. - Wenjie Li, Benlai Tang, Xiang Yin, Yushi Zhao, Wei Li, Kang Wang, Hao Huang, Yuxuan Wang, Zejun Ma:
Improving Accent Conversion with Reference Encoder and End-To-End Text-To-Speech. - Lu Yu, Shichao Pei, Chuxu Zhang, Shangsong Liang, Xiao Bai, Xiangliang Zhang:
Addressing Class-Imbalance Problem in Personalized Ranking. - Qi Jia, Mengxue Zhang, Shengyao Zhang, Kenny Q. Zhu:
Matching Questions and Answers in Dialogues from Online Forums. - Anton Kolonin:
Controlled Language and Baby Turing Test for General Conversational Intelligence. - Yannik Eikmeier, Pamela Fleischmann, Dirk Nowotka:
On Weighted Prefix Normal Words. - William Caicedo-Torres, Jairo A. Gutiérrez:
ISeeU2: Visually Interpretable ICU mortality prediction using deep learning and free-text medical notes. - Takuji Takemoto, Takashi Ota, Hiroko Oe:
An examination of applicability of face recognition sensors in public facilities. - Tønnes F. Nygaard, David Howard, Kyrre Glette:
Real World Morphological Evolution is Feasible. - Martin Kotuliak, Sandro E. Schoenborn, Andrei Dan:
Synthesizing Unrestricted False Positive Adversarial Objects Using Generative Models. - Sungmin Kang, Robert Feldt, Shin Yoo:
SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation. - Xiao-Wei Tang, Xin-Lin Huang, Fei Hu, Qingjiang Shi:
Human-Perception-Oriented Pseudo Analog Video Transmissions with Deep Learning. - Vahid Garousi, Wasif Afzal, Adem Çaglar, Ihsan Berk Isik, Berker Baydan, Seçkin Çaylak, Ahmet Zeki Boyraz, Burak Yolaçan, Kadir Herkiloglu:
Visual GUI testing in practice: An extended industrial case study. - Christian-Eike Framing, Raffael Hedinger, Emmanuel Santiago Iglesias, Frank-Josef Heßeler, Dirk Abel:
EduBal: An open balancing robot platform for teaching control and system theory. - Randy Frans Fela, Nick Zacharov, Søren Forchhammer:
Towards a Perceived Audiovisual Quality Model for Immersive Content. - Yan Gao, Titouan Parcollet, Nicholas D. Lane:
Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition. - Daniel Wagner, Didier Henrion, Martin Hromcík:
Measures and LMIs for Adaptive Control Validation. - Matteo Modonato:
Combining Dynamic Symbolic Execution, Machine Learning and Search-Based Testing to Automatically Generate Test Cases for Classes. - Gorm Lai, William H. Latham, Frederic Fol Leymarie:
Towards Friendly Mixed Initiative Procedural Content Generation: Three Pillars of Industry. - Prabal Banerjee, Subhra Mazumdar, Sushmita Ruj:
Griefing-Penalty: Countermeasure for Griefing Attack in Bitcoin-compatible PCNs. - Abdul Basit, Muhammad Akhtar Munir, Mohsen Ali, Arif Mahmood:
Localizing Firearm Carriers by Identifying Human-Object Pairs. - Mingxiang Chen, Lei Gao, Qichang Chen, Zhixin Liu:
Dynamic Partial Removal: A Neural Network Heuristic for Large Neighborhood Search. - Athina Georgara, Carles Sierra, Juan A. Rodríguez-Aguilar:
TAIP: an anytime algorithm for allocating student teams to internship programs. - Giovanni Interdonato, Pål K. Frenger, Erik G. Larsson:
Self-Learning Detector for the Cell-Free Massive MIMO Uplink: The Line-of-Sight Case. - Veli Mäkinen, Bastien Cazaux, Massimo Equi, Tuukka Norri, Alexandru I. Tomescu:
Linear Time Construction of Indexable Founder Block Graphs. - Hongbin Liu, Ickjai Lee:
Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting. - Tong Chen, Hongzhi Yin, Guanhua Ye, Zi Huang, Yang Wang, Meng Wang:
Try This Instead: Personalized and Interpretable Substitute Recommendation. - Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang:
Controllable Multi-Interest Framework for Recommendation. - Andrew Sogokon, Stefan Mitsch, Yong Kiam Tan, Katherine Cordwell, André Platzer:
Pegasus: Sound Continuous Invariant Generation. - Lavsen Dahal, Aayush Kafle, Bishesh Khanal:
Uncertainty Estimation in Deep 2D Echocardiography Segmentation. - Ilia Smagloy, Lorenz Welter, Antonia Wachter-Zeh, Eitan Yaakobi:
Single-Deletion Single-Substitution Correcting Codes. - Nampoina Andriamilanto, Tristan Allard, Gaëtan Le Guelvouit:
"Guess Who ?" Large-Scale Data-Centric Study of the Adequacy of Browser Fingerprints for Web Authentication. - Chizhou Liu, Yunzhen Feng, Ranran Wang, Bin Dong:
Enhancing Certified Robustness of Smoothed Classifiers via Weighted Model Ensembling. - Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner:
Machine Learning-based Cardinality Estimation in DBMS on Pre-Aggregated Data. - Clementa Alonso-González, Miguel Ángel Navarro-Pérez, Xaro Soler-Escrivà:
Optimum Distance Flag Codes from Spreads in Network Coding. - Karim Cherifi, Pawan Goyal, Peter Benner:
A Non-Intrusive Method to Inferring Linear Port-Hamiltonian Realizations using Time-Domain Data. - Martin Tutek, Jan Snajder:
Staying True to Your Word: (How) Can Attention Become Explanation? - Jørgen Nordmoen, Tønnes Frostad Nygaard, Eivind Samuelsen, Kyrre Glette:
On Restricting Real-Valued Genotypes in Evolutionary Algorithms. - Pablo Dorta-González, Rafael Suárez-Vega, María-Isabel Dorta-González:
Open Access effect on uncitedness: A large-scale study controlling by discipline, source type and visibility. - Felix Hill, Sona Mokrá, Nathaniel Wong, Tim Harley:
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text. - Lukas Lange, Heike Adel, Jannik Strötgen:
On the Choice of Auxiliary Languages for Improved Sequence Tagging. - Lukas Lange, Anastasiia Iurshina, Heike Adel, Jannik Strötgen:
Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text. - Filippo Fabiani, Paul J. Goulart:
An optimal transport approach to data compression in distributionally robust control. - Lukas Lange, Heike Adel, Jannik Strötgen:
Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain. - Vasilis Efthymiou, Kostas Stefanidis, Vassilis Christophides:
Benchmarking Blocking Algorithms for Web Entities. - Sebastian Garcia-Valencia:
Embeddings as representation for symbolic music. - Dmitry A. Yashunin, Tamir Baydasov, Roman Vlasov:
MaskFace: multi-task face and landmark detector. - Andreas Nautsch, Jose Patino, Natalia A. Tomashenko, Junichi Yamagishi, Paul-Gauthier Noé, Jean-François Bonastre, Massimiliano Todisco, Nicholas W. D. Evans:
The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment. - Rebekka Wohlrab, Patrizio Pelliccione, Ali Shahrokni, Eric Knauss:
Why and How Your Traceability Should Evolve: Insights from an Automotive Supplier. - Robert Myers, Zeyn Saigol:
Pass-Fail Criteria for Scenario-Based Testing of Automated Driving Systems. - Ding Liu, Zekun Yao, Quan Zhang:
Quantum-Classical Machine learning by Hybrid Tensor Networks. - Junwen Zhu, Weishu Liu:
Comparing like with like: China ranks first in SCI-indexed research articles since 2018. - Siamak Parhizkari, Mohammad Bagher Menhaj:
A cognitive based Intrusion detection system. - Alessio Fumagalli, Anna Scotti:
A mathematical model for thermal single-phase flow and reactive transport in fractured porous media. - Giovanni de Felice, Elena Di Lavore, Mario Román, Alexis Toumi:
Functorial Language Games for Question Answering. 311-321 - Giulia Caselli, Maxence Delorme, Manuel Iori:
Integer Linear Programming for the Tutor Allocation Problem: A Practical Case in a British University. - Ali Dorri, Raja Jurdak:
Tree-Chain: A Fast Lightweight Consensus Algorithm for IoT Applications. - Pierre Aboulker, Laurent Beaudou, Martín Matamala, José Zamora:
Graphs with no induced house nor induced hole have the de Bruijn-Erdős property. - Boro Sitnikovski, Biljana Stojcevska, Lidija Goracinova-Ilieva, Irena Stojmenovska:
PubSub implementation in Haskell with formal verification in Coq. - Zhenhui Ye, Yining Chen, Guanghua Song, Bowei Yang, Sheng Fan:
Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning. - Carole Adam:
VigiFlood: evaluating the impact of a change of perspective on flood vigilance. - Danny Merkx, Stefan L. Frank:
Comparing Transformers and RNNs on predicting human sentence processing data. - Jixuan Zhi, Jyh-Ming Lien:
Learning to Herd Agents Amongst Obstacles: Training Robust Shepherding Behaviors using Deep Reinforcement Learning. - Kacper Topolnicki:
Monads and "do" notation in the Wolfram Language. - Andreas Eitel, Nico Hauff, Wolfram Burgard:
Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction. - Wan-Lei Zhao, Run-Qing Chen, Hui Ye, Chong-Wah Ngo:
k-sums: another side of k-means. - Khai Ky Ly, Manh Duong Phung:
Built Infrastructure Monitoring and Inspection Using UAVs and Vision-based Algorithms. - Parosh Aziz Abdulla, Mohamed Faouzi Atig, Vrunda Dave, Shankara Narayanan Krishna:
On the Separability Problem of String Constraints. - Abraham Bernstein, Claes H. de Vreese, Natali Helberger, Wolfgang Schulz, Katharina Anna Zweig, Christian Baden, Michael A. Beam, Marc P. Hauer, Lucien Heitz, Pascal Jürgens, Christian Katzenbach, Benjamin Kille, Beate Klimkiewicz, Wiebke Loosen, Judith Möller, Goran Radanovic, Guy Shani, Nava Tintarev, Suzanne Tolmeijer, Wouter van Atteveldt, Sanne Vrijenhoek, Theresa Zueger:
Diversity in News Recommendations. - Sangeeth Reddy, Minesh Mathew, Lluís Gómez, Marçal Rusiñol, Dimosthenis Karatzas, C. V. Jawahar:
RoadText-1K: Text Detection & Recognition Dataset for Driving Videos. - Zahid Iqbal, Rafia Ilyas, Waseem Shahzad, Irum Inayat:
A comparative study of machine learning techniques used in non-clinical systems for continuous healthcare of independent livings. - Daniel Krenn, Jeffrey O. Shallit:
Decidability and k-Regular Sequences. - Leonardo Augusto Ferreira, Frederico Gadelha Guimarães, Rodrigo César Pedrosa Silva:
Applying Genetic Programming to Improve Interpretability in Machine Learning Models. - Sören Tempel, Tristan Bruns:
RIOT-POLICE: An implementation of spatial memory safety for the RIOT operating system. - Saverio Giallorenzo, Fabrizio Montesi, Marco Peressotti:
Choreographies as Objects. - Sascha Hunold, Konrad von Kirchbach, Markus Lehr, Christian Schulz, Jesper Larsson Träff:
Efficient Process-to-Node Mapping Algorithms for Stencil Computations. - Kanaru Kutsukake, Takuya Matsumoto, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
On repetitiveness measures of Thue-Morse words. - (Withdrawn) Toward Automated Classroom Observation: Multimodal Machine Learning to Estimate CLASS Positive Climate and Negative Climate.
- Bo Pang, Tao Bian, Zhong-Ping Jiang:
Robust Policy Iteration for Continuous-time Linear Quadratic Regulation. - Péter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski:
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. - Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz:
Ultrasound Video Summarization using Deep Reinforcement Learning. - David Froelicher, Juan Ramón Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, Jean-Pierre Hubaux:
Scalable Privacy-Preserving Distributed Learning. - Marc Ohm, Henrik Plate, Arnold Sykosch, Michael Meier:
Backstabber's Knife Collection: A Review of Open Source Software Supply Chain Attacks. - Vuong Bui:
Growth of bilinear maps. - Chizhao Yang, Jared Strader, Yu Gu, Aaron Canciani, Kevin M. Brink:
Cooperative UAV Navigation using Magnetic Anomaly Measurements and Limited Inter-Vehicle Ranging Information. - Maxim Maximov, Ismail Elezi, Laura Leal-Taixé:
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks. - Rainer Schneckenleitner, Stefan Takacs:
Convergence theory for IETI-DP solvers for discontinuous Galerkin Isogeometric Analysis that is explicit in h and p. - Praful D. Mankar, Zheng Chen, Mohamed A. Abd-Elmagid, Nikolaos Pappas, Harpreet S. Dhillon:
Throughput and Age of Information in a Cellular-based IoT Network. - Zahid Iqbal, Waseem Shahzad:
A Diverse Clustering Particle Swarm Optimizer for Dynamic Environment: To Locate and Track Multiple Optima. - Oliver Richter, Roger Wattenhofer:
Normalized Attention Without Probability Cage. - Anastasiya Gorodilova, Natalia N. Tokareva, Sergey Agievich, Claude Carlet, Evgeny Gorkunov, Valeria Idrisova, Nikolay Kolomeec, Alexandr Kutsenko, Roman Lebedev, Svetla Nikova, Alexey Oblaukhov, Irina Pankratova, Marina Pudovkina, Vincent Rijmen, Aleksei Udovenko:
On the Sixth International Olympiad in Cryptography NSUCRYPTO. - Huber Flores, Naser Hossein Motlagh, Agustin Zuniga, Mohan Liyanage, Monica Passananti, Sasu Tarkoma, Moustafa Youssef, Petteri Nurmi:
Toward Large-Scale Autonomous Monitoring and Sensing of Underwater Pollutants. - Udit Agarwal, Vijaya Ramachandran:
Faster Deterministic All Pairs Shortest Paths in Congest Model. - Joan Bruna, Oded Regev, Min Jae Song, Yi Tang:
Continuous LWE. - Joseph Ross:
Asymmetric scale functions for t-digests. - Angela S. Lin, Sudha Rao, Asli Celikyilmaz, Elnaz Nouri, Chris Brockett, Debadeepta Dey, Bill Dolan:
A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks. - Ranvir Rana, Sreeram Kannan, David Tse, Pramod Viswanath:
Free2Shard: Adaptive-adversary-resistant sharding via Dynamic Self Allocation. - Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras:
An Information-Theoretic Approach for Path Planning in Agents with Computational Constraints. - (Withdrawn) Unlocking New York City Crime Insights using Relational Database Embeddings.
- Maxim Maximov, Kevin Galim, Laura Leal-Taixé:
Focus on defocus: bridging the synthetic to real domain gap for depth estimation. - Yueh-Hua Wu, I-Hau Yeh, David Hu, Hong-Yuan Mark Liao:
Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization. - Abhiram Gnanasambandam, Stanley H. Chan:
One Size Fits All: Can We Train One Denoiser for All Noise Levels? - George S. Baggs, Paul Guerrier, Andrew Loeb, Jason C. Jones:
Automated Copper Alloy Grain Size Evaluation Using a Deep-learning CNN. - Yujun Shen, Ceyuan Yang, Xiaoou Tang, Bolei Zhou:
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs. - F. Fauzi, H. J. Long, M. Belkhatir:
Webpage Segmentation for Extracting Images and Their Surrounding Contextual Information. - Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker:
The Second Type of Uncertainty in Monte Carlo Tree Search. - Ammar Rashed, Mücahid Kutlu, Kareem Darwish, Tamer Elsayed, Cansin Bayrak:
Embeddings-Based Clustering for Target Specific Stances: The Case of a Polarized Turkey. - Meng Ding, Ting-Zhu Huang, Xi-Le Zhao, Tian-Hui Ma:
Tensor completion via nonconvex tensor ring rank minimization with guaranteed convergence. - Theodoros Katsaounis, Dimitrios Mitsotakis, Georges Sadaka:
Boussinesq-Peregrine water wave models and their numerical approximation. - Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu:
Representation Learning with Fine-grained Patterns. - Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson:
Neural Collaborative Filtering vs. Matrix Factorization Revisited. - Zili Yi, Qiang Tang, Shekoofeh Azizi, Daesik Jang, Zhan Xu:
Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting. - Manuel Huber, Stefan Hristozov, Simon Ott, Vasil Sarafov, Marcus Peinado:
The Lazarus Effect: Healing Compromised Devices in the Internet of Small Things. - Ali Jazayeri, Christopher C. Yang:
Motif Discovery Algorithms in Static and Temporal Networks: A Survey. - Samantha Miller, Kaiyuan Zhang, Danyang Zhuo, Tom Anderson:
High Velocity Kernel File Systems with Bento. - Hamidreza Jahanjou, Rajmohan Rajaraman, David Stalfa:
Scheduling Flows on a Switch to Optimize Response Times. - Kristian Bredies, Tuomo Valkonen:
Inverse problems with second-order Total Generalized Variation constraints. - Zana Limani, Francesco Malandrino, Carla-Fabiana Chiasserini, Alessandro Nordio:
Mmwave Beam Management in Urban Vehicular Networks. - Mohammad K. Ebrahimpour, Jiayun Li, Yen-Yun Yu, Jackson L. Reese, Azadeh Moghtaderi, Ming-Hsuan Yang, David C. Noelle:
Ventral-Dorsal Neural Networks: Object Detection via Selective Attention. - Javad Rafiei-Asl, Juan M. Banda:
GLEAKE: Global and Local Embedding Automatic Keyphrase Extraction. - Abhinav Narasingam, Joseph Sang-Il Kwon:
Data-driven feedback stabilization of nonlinear systems: Koopman-based model predictive control. - Yaser Souri, Alexander Richard, Luca Minciullo, Juergen Gall:
On Evaluating Weakly Supervised Action Segmentation Methods. - Benjamin Berg, Mor Harchol-Balter, Benjamin Moseley, Weina Wang, Justin Whitehouse:
Optimal Resource Allocation for Elastic and Inelastic Jobs. - Rishikesh Ranade, Genong Li, Shaoping Li, Tarek Echekki:
An Efficient Machine-Learning Approach for PDF Tabulation in Turbulent Combustion Closure. - Nastaran Hajinazar, Pratyush Patel, Minesh Patel, Konstantinos Kanellopoulos, Saugata Ghose, Rachata Ausavarungnirun, Geraldo F. Oliveira, Jonathan Appavoo, Vivek Seshadri, Onur Mutlu:
The Virtual Block Interface: A Flexible Alternative to the Conventional Virtual Memory Framework. - Charu Sharma, Jatin Chauhan, Manohar Kaul:
Learning Representations using Spectral-Biased Random Walks on Graphs. - Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer:
Adapting a Kidney Exchange Algorithm to Align with Human Values. - Hao Guo:
Predictor Antenna Systems: Exploiting Channel State Information for Vehicle Communications. - Saber Jafarpour, Pedro Cisneros-Velarde, Francesco Bullo:
Weak and Semi-Contraction Theory with Application to Network Systems. - Lorenzo Bertizzolo, Salvatore D'Oro, Ludovico Ferranti, Leonardo Bonati, Emrecan Demirors, Zhangyu Guan, Tommaso Melodia, Scott Pudlewski:
SwarmControl: An Automated Distributed Control Framework for Self-Optimizing Drone Networks. - Kiran Garimella, Dean Eckles:
Images and Misinformation in Political Groups: Evidence from WhatsApp in India. - Justin E. Doak, Michael R. Smith, Joey B. Ingram:
Self-Updating Models with Error Remediation. - Peter Robinson, Raghavendra Ramesh:
Layer 2 Atomic Cross-Blockchain Function Calls. - Yeshwanth Cherapanamjeri, Sidhanth Mohanty, Morris Yau:
List Decodable Mean Estimation in Nearly Linear Time. - Chenggang Wang, Sean Kennedy, Haipeng Li, King Hudson, Gowtham Atluri, Xuetao Wei, Wenhai Sun, Boyang Wang:
Fingerprinting Encrypted Voice Traffic on Smart Speakers with Deep Learning. - Dehong Gao, Linbo Jin, Ben Chen, Minghui Qiu, Peng Li, Yi Wei, Yi Hu, Hao Wang:
FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval. - Aman Tyagi, Anjalie Field, Priyank Lathwal, Yulia Tsvetkov, Kathleen M. Carley:
A Computational Analysis of Polarization on Indian and Pakistani Social Media. - Faustin Ahishakiye, José Ignacio Requeno Jarabo, Lars Michael Kristensen, Volker Stolz:
Coverage Analysis of Net Inscriptions in Coloured Petri Net Models. - Mansura Habiba, Barak A. Pearlmutter:
Neural Ordinary Differential Equation based Recurrent Neural Network Model. - Shenghao Yang, Di Wang, Kimon Fountoulakis:
p-Norm Flow Diffusion for Local Graph Clustering. - Juan Leon Alcazar, Fabian Caba Heilbron, Long Mai, Federico Perazzi, Joon-Young Lee, Pablo Arbeláez, Bernard Ghanem:
Active Speakers in Context. - Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh:
Mirror Descent Policy Optimization. - Xinya Chen, Yanrui Bin, Changxin Gao, Nong Sang, Hao Tang:
Relevant Region Prediction for Crowd Counting. - Shailesh Wasti, Pablo Ubiratan, Shahab Afshar, Vahid Disfani:
Distributed Dynamic Economic Dispatch using Alternating Direction Method of Multipliers. - Zhaoji Zhang, Ying Li, Chongwen Huang, Qinghua Guo, Lei Liu, Chau Yuen, Yong Liang Guan:
User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled Internet-of-Things. - Ying Li, Lingfei Ma, Zilong Zhong, Fei Liu, Dongpu Cao, Jonathan Li, Michael A. Chapman:
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review. - Keting Lu, Shiqi Zhang, Peter Stone, Xiaoping Chen:
Learning and Reasoning for Robot Dialog and Navigation Tasks. - Vikram Ramanarayanan, Matthew Mulholland, Debanjan Ghosh:
Exploring Recurrent, Memory and Attention Based Architectures for Scoring Interactional Aspects of Human-Machine Text Dialog. - Xi'an Li, Jian Lu:
Single-step triangular splitting iteration method for a class of complex symmetric linear system. - Chuangyin Dang, Qi Qi, Yinyu Ye:
Computations and Complexities of Tarski's Fixed Points and Supermodular Games. - Di Weng, Jichang Zhao:
Positive emotions help rank negative reviews in e-commerce. - Chen Ling, Gaohang Yu, Liqun Qi, Yanwei Xu:
A Parallelizable Method for Missing Internet Traffic Tensor Data. - Tomás Kocák, Aurélien Garivier:
Best Arm Identification in Spectral Bandits. - Zixiao Shen, Xin Chen, Jonathan M. Garibaldi:
A Novel Meta Learning Framework for Feature Selection using Data Synthesis and Fuzzy Similarity. - Licheng Wen, Jiaqing Yan, Xuemeng Yang, Yong Liu, Yong Gu:
Collision-free Trajectory Planning for Autonomous Surface Vehicle. - Jinho Kim, S. Andrew Gadsden, Stephen A. Wilkerson:
A Comprehensive Survey of Control Strategies for Autonomous Quadrotors. - Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang:
Understanding Negative Sampling in Graph Representation Learning. - Zhenglei He, Kim Phuc Tran, Sébastien Thomassey, Xianyi Zeng, Changhai Yi:
A reinforcement learning based decision support system in textile manufacturing process. - Yuan Liu, Zhi Zeng, Weijun Tang, Fangjiong Chen:
Data-Importance Aware Radio Resource Allocation: Wireless Communication Helps Machine Learning. - Weizun Zhao, Lishuai Li, Sameer Alam, Yanjun Wang:
An Incremental Clustering Method for Anomaly Detection in Flight Data. - Deepak P, Savitha Sam Abraham:
Fair Outlier Detection. - Nicolas Golenvaux, Pablo Gonzalez Alvarez, Harold Silvère Kiossou, Pierre Schaus:
An LSTM approach to Predict Migration based on Google Trends. - Yongkweon Jeon, Baeseong Park, Se Jung Kwon, Byeongwook Kim, Jeongin Yun, Dongsoo Lee:
BiQGEMM: Matrix Multiplication with Lookup Table For Binary-Coding-based Quantized DNNs. - Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls:
Accounting for Input Noise in Gaussian Process Parameter Retrieval. - Yaoshu Wang, Chuan Xiao, Jianbin Qin, Rui Mao, Makoto Onizuka, Wei Wang, Rui Zhang:
Consistent and Flexible Selectivity Estimation for High-dimensional Data. - Sungjae Lee, Youngdoo Son:
Multitask Learning with Single Gradient Step Update for Task Balancing. - Hannes Bartz, Thomas Jerkovits, Sven Puchinger, Johan Rosenkilde:
Fast Decoding of Codes in the Rank, Subspace, and Sum-Rank Metric. - Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian:
Rethinking Performance Estimation in Neural Architecture Search. - Samin Aref, Ly Dinh, Rezvaneh Rezapour, Jana Diesner:
The Many Faces of Balance: Multilevel Structural Evaluation of Signed Directed Social Networks. - Alex Bewley, Pei Sun, Thomas Mensink, Dragomir Anguelov, Cristian Sminchisescu:
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection. - Reinier Vleugels, Magnus Palmblad:
Non-Uniform Gaussian Blur of Hexagonal Bins in Cartesian Coordinates. - Yuichi Sudo, Ryota Eguchi, Taisuke Izumi, Toshimitsu Masuzawa:
Time-optimal Loosely-stabilizing Leader Election in Population Protocols. - Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui:
Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms. - Pierluigi Cassotti, Annalina Caputo, Marco Polignano, Pierpaolo Basile:
GM-CTSC at SemEval-2020 Task 1: Gaussian Mixtures Cross Temporal Similarity Clustering. - Daniel Graziotin, Per Lenberg, Robert Feldt, Stefan Wagner:
Behavioral Software Engineering: Methodological Introduction to Psychometrics. - Tristan Cazenave, Thomas Fournier:
Monte Carlo Inverse Folding. - Yuan-Kuei Wu, Chao-I Tuan, Hung-yi Lee, Yu Tsao:
SADDEL: Joint Speech Separation and Denoising Model based on Multitask Learning. - Peihao Shi, Zhengtao Hu, Kazuyuki Nagata, Weiwei Wan, Yukiyasu Domae, Kensuke Harada:
Development of a Shape-memorable Adaptive Pin Array Fixture. - Paul Hofmann, Zaid Tashman:
Hidden Markov Models and their Application for Predicting Failure Events. - Xingjia Pan, Yuqiang Ren, Kekai Sheng, Weiming Dong, Haolei Yuan, Xiaowei Guo, Chongyang Ma, Changsheng Xu:
Dynamic Refinement Network for Oriented and Densely Packed Object Detection. - Vaclav Rechtberger, Miroslav Bures, Bestoun S. Ahmed:
Alternative Effort-optimal Model-based Strategy for State Machine Testing of IoT Systems. - Nils C. Köbis, Luca Mossink:
Creative Artificial Intelligence - Algorithms vs. humans in an incentivized writing competition. - Sara Mandelli, Fabrizio Argenti, Paolo Bestagini, Massimo Iuliani, Alessandro Piva, Stefano Tubaro:
A Modified Fourier-Mellin Approach for Source Device Identification on Stabilized Videos. - Pietro Rotondo, Mauro Pastore, Marco Gherardi:
Beyond the storage capacity: data driven satisfiability transition. - Fatemah Husain:
Investigating Current State-of-The-Art Applications of Supportive Technologies for Individuals with ADHD. - Daniel K. Sewell:
Heterogeneous Susceptibilities in Social Influence Models. - Yu Wang, Fengjuan Gao, Linzhang Wang, Ke Wang:
Learning Semantic Program Embeddings with Graph Interval Neural Network. - Bram Aerts, Simon Vandevelde, Joost Vennekens:
Tackling the DMN Challenges with cDMN: a Tight Integration of DMN and constraint reasoning. - Bowen Weng, Sughosh J. Rao, Eeshan Deosthale, Scott Schnelle, Frank Barickman:
Model Predictive Instantaneous Safety Metric for Evaluation of Automated Driving Systems. - Jianwen Sun, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yang Liu:
Continuous Multiagent Control using Collective Behavior Entropy for Large-Scale Home Energy Management. - Stefano Guarino, Noemi Trino, Alessandro Celestini, Alessandro Chessa, Gianni Riotta:
Characterizing networks of propaganda on Twitter: a case study. - Prabhat Hegde, Wester C. H. Schoonenberg, Dakota J. Thompson, Amro M. Farid:
The Hetero-functional Graph Theory Toolbox. - Priyadarshini Kumari, Ritesh Goru, Siddhartha Chaudhuri, Subhasis Chaudhuri:
Batch Decorrelation for Active Metric Learning. - Alice Cortinovis, Daniel Kressner:
On randomized trace estimates for indefinite matrices with an application to determinants. - Omar Zahra, Silvia Tolu, David Navarro-Alarcon:
Differential Mapping Spiking Neural Network for Sensor-Based Robot Control. - Eduardo Graells-Garrido, Ricardo Baeza-Yates, Mounia Lalmas:
Every Colour You Are: Stance Prediction and Turnaround in Controversial Issues. - Marc Etheve, Zacharie Alès, Côme Bissuel, Olivier Juan, Safia Kedad-Sidhoum:
Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm. - Leonardo Bonati, Michele Polese, Salvatore D'Oro, Stefano Basagni, Tommaso Melodia:
Open, Programmable, and Virtualized 5G Networks: State-of-the-Art and the Road Ahead. - Marcelo Arenas, Luis Alberto Croquevielle, Rajesh Jayaram, Cristian Riveros:
An FPRAS and Polynomial-Time Uniform Sampler for Tree Automata. - Nils Gessert, Marcel Bengs, Matthias Schlüter, Alexander Schlaefer:
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation. - Lior Hirschfeld, Kyle Swanson, Kevin Yang, Regina Barzilay, Connor W. Coley:
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction. - Ronen Gradwohl, Moshe Tennenholtz:
Coopetition Against an Amazon. - Tobias Schumacher, Hinrikus Wolf, Martin Ritzert, Florian Lemmerich, Jan Bachmann, Florian Frantzen, Max Klabunde, Martin Grohe, Markus Strohmaier:
The Effects of Randomness on the Stability of Node Embeddings. - Wei Li, Xinyan Xiao, Jiachen Liu, Hua Wu, Haifeng Wang, Junping Du:
Leveraging Graph to Improve Abstractive Multi-Document Summarization. - Leonhard Hermansdorfer, Johannes Betz, Markus Lienkamp:
Benchmarking of a software stack for autonomous racing against a professional human race driver. - Magdalena Biesialska, Bardia Rafieian, Marta R. Costa-jussà:
Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources. - Samaneh Abbasi-Sureshjani, Ralf Raumanns, Britt E. J. Michels, Gerard Schouten, Veronika Cheplygina:
Risk of Training Diagnostic Algorithms on Data with Demographic Bias. - Rui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung, Siyuan Lu:
Map Generation from Large Scale Incomplete and Inaccurate Data Labels. - Yiannis Giannakopoulos, Alexander Hammerl, Diogo Poças:
A New Lower Bound for Deterministic Truthful Scheduling. - Ruggero Caravita:
PeopleTraffic: a common framework for harmonizing privacy and epidemic risks. - George C. Alexandropoulos, Konstantinos Katsanos, Miaowen Wen, Daniel B. da Costa:
Safeguarding MIMO Communications with Reconfigurable Metasurfaces and Artificial Noise. - Javier Luis Cánovas Izquierdo, Jordi Cabot:
A Survey of Software Foundations in Open Source. - Biplav Srivastava, Francesca Rossi, Sheema Usmani, Mariana Bernagozzi:
Personalized Chatbot Trustworthiness Ratings. - Hamed Masoumi, Mohammad Javad Emadi, Stefano Buzzi:
Cell-Free Massive MIMO with Underlaid D2D Communications and Low Resolution ADCs. - Demian Gholipour Ghalandari, Chris Hokamp, Nghia The Pham, John Glover, Georgiana Ifrim:
A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal. - Sansit Patnaik, Sai Sidhardh, Fabio Semperlotti:
Towards a Generalized Approach to Nonlocal Elasticity via Fractional-Order Mechanics. - Petar Radanliev, David De Roure, Robert Walton, Max Van Kleek, Omar Santos, Rafael Mantilla Montalvo, La Treall Maddox:
What country, university or research institute, performed the best on COVID-19? Bibliometric analysis of scientific literature. - Joseph Sweeney, Samuel Pagliarini, Lawrence T. Pileggi:
Securing Digital Systems via Split-Chip Obfuscation. - Przemyslaw Pobrotyn, Tomasz Bartczak, Mikolaj Synowiec, Radoslaw Bialobrzeski, Jaroslaw Bojar:
Context-Aware Learning to Rank with Self-Attention. - Christoffer Olling Back, Tijs Slaats, Thomas Troels Hildebrandt, Morten Marquard:
DisCoveR: Accurate & Efficient Discovery of Declarative Process Models. - Eduardo Fidalgo Fernandez, Roberto Andrés Vasco Carofilis, Francisco Jáñez-Martino, Pablo Blanco-Medina:
Classifying Suspicious Content in Tor Darknet. - Rubel Biswas, Roberto A. Vasco-Carofilis, Eduardo Fidalgo Fernandez, Francisco Jáñez-Martino, Pablo Blanco-Medina:
Perceptual Hashing applied to Tor domains recognition. - Aseem Behl, Kashyap Chitta, Aditya Prakash, Eshed Ohn-Bar, Andreas Geiger:
Label Efficient Visual Abstractions for Autonomous Driving. - Muhammed S. Maddi, Paul Davis, John Geraghty:
Acceptance of e-procurement in organisations. - Duncan Adamson, Argyrios Deligkas, Vladimir V. Gusev, Igor Potapov:
The K-Centre Problem for Necklaces. - Pablo Blanco-Medina, Eduardo Fidalgo Fernandez, Enrique Alegre, Francisco Jáñez-Martino, Roberto A. Vasco-Carofilis, Víctor Fidalgo Villar:
Classification of Industrial Control Systems screenshots using Transfer Learning. - Yiannis Giannakopoulos, Diogo Poças:
A Unifying Approximate Potential for Weighted Congestion Games. - Hao Xu, Lei Zhang, Oluwakayode Onireti, Yang Fang, William J. Buchanan, Muhammad Ali Imran:
BeepTrace: Blockchain-enabled Privacy-preserving Contact Tracing for COVID-19 Pandemic and Beyond. - Demian Gholipour Ghalandari, Georgiana Ifrim:
Examining the State-of-the-Art in News Timeline Summarization. - Menghan Wang, Yujie Lin, Guli Lin, Keping Yang, Xiao-Ming Wu:
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems. - Stephan Rabanser, Tim Januschowski, Valentin Flunkert, David Salinas, Jan Gasthaus:
The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models. - Yuanfei Luo, Hao Zhou, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
Network On Network for Tabular Data Classification in Real-world Applications. - Kingshuk Chatterjee, Debayan Ganguly, Kumar Sankar Ray:
State Complexity of Reversible Watson-Crick Automata. - Debayan Ganguly, Kingshuk Chatterjee, Kumar Sankar Ray:
Multi-head Watson-Crick quantum finite automata. - Meir Friedenberg, Joseph Y. Halpern:
Combining the Causal Judgments of Experts with Possibly Different Focus Areas. - Xuefeng Wen:
Some Common Mistakes in the Teaching and Textbooks of Modal Logic. - Joseph Y. Halpern, Xavier Vilaça:
Rational Consensus. - Matteo Pagin, Francesco Agostini, Tommaso Zugno, Michele Polese, Michele Zorzi:
Enabling RAN Slicing Through Carrier Aggregation in mmWave Cellular Networks. - Tommaso Zugno, Matteo Drago, Marco Giordani, Michele Polese, Michele Zorzi:
NR V2X Communications at Millimeter Waves: An End-to-End Performance Evaluation. - Abhinaba Roy, Biplab Banerjee:
Discriminative Dictionary Design for Action Classification in Still Images and Videos. - Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui:
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection. - Zhipeng Gao, Xin Xia, John C. Grundy, David Lo, Yuan-Fang Li:
Generating Question Titles for Stack Overflow from Mined Code Snippets. - Mu Mu, Murtada Dohan, Alison Goodyear, Gary Hill, Cleyon Johns, Andreas Mauthe:
User Attention and Behaviour in Virtual Reality Art Encounter. - Arif Raza, Luiz Fernando Capretz, Shuib Basri:
An Empirical Study of User Support Tools in Open Source Software. - Ethan Dudley, Arvind K. Saibaba, Alen Alexanderian:
Monte Carlo Estimators for the Schatten p-norm of Symmetric Positive Semidefinite Matrices. - Yue Wang, Shaofeng Zou:
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise. - Tapajit Dey, Andrey Karnauch, Audris Mockus:
Representation of Developer Expertise in Open Source Software. - Dalal Alrajeh, Hana Chockler, Joseph Y. Halpern:
Combining Experts' Causal Judgments. - Sandra Kiefer, Brendan D. McKay:
The Iteration Number of Colour Refinement. - Leonardo Maccari, Valeria Cagno:
Do we need a Contact Tracing App? - Zeyuan Allen-Zhu, Yuanzhi Li:
Feature Purification: How Adversarial Training Performs Robust Deep Learning. - Ryan J. Gallagher, Jean-Gabriel Young, Brooke Foucault Welles:
A Clarified Typology of Core-Periphery Structure in Networks. - Chennakesava Kadapa:
A simple extrapolated predictor for overcoming the starting and tracking issues in the arc-length method for nonlinear structural mechanics. - (Withdrawn) Learning natural locomotion behaviors for humanoid robots using human knowledge.
- Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Localization & Mitigation of Cascading Failures in Power Systems, Part I: Spectral Representation & Tree Partition. - Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen:
BERTweet: A pre-trained language model for English Tweets. - Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang:
Graph Structure Learning for Robust Graph Neural Networks. - Sebastian Becker, Ramon Braunwarth, Martin Hutzenthaler, Arnulf Jentzen, Philippe von Wurstemberger:
Numerical simulations for full history recursive multilevel Picard approximations for systems of high-dimensional partial differential equations. - Benedict Wilkins, Chris Watkins, Kostas Stathis:
Anomaly Detection in Video Games. - Shijie Wu, Ryan Cotterell, Mans Hulden:
Applying the Transformer to Character-level Transduction. - Zhiguo Ding, Robert Schober, H. Vincent Poor:
Unveiling the Importance of SIC in NOMA Systems: Part I - State of the Art and Recent Findings. - Zhiguo Ding, Robert Schober, H. Vincent Poor:
Unveiling the Importance of SIC in NOMA Systems: Part II: New Results and Future Directions. - Abhishek Shivkumar, Jack Weston, Raphael Lenain, Emil Fristed:
BlaBla: Linguistic Feature Extraction for Clinical Analysis in Multiple Languages. - Naveen Panwar, Tarun Tater, Anush Sankaran, Senthil Mani:
Reducing Overlearning through Disentangled Representations by Suppressing Unknown Tasks. - Jincheng Zhang, Andrew R. Willis, Jamie L. Godwin:
Compute-Bound and Low-Bandwidth Distributed 3D Graph-SLAM. - Nicholas H. Nelsen, Andrew M. Stuart:
The Random Feature Model for Input-Output Maps between Banach Spaces. - Clément Gaultier, Srdan Kitic, Rémi Gribonval, Nancy Bertin:
Sparsity-based audio declipping methods: overview, new algorithms, and large-scale evaluation. - Dian Shao, Yue Zhao, Bo Dai, Dahua Lin:
Intra- and Inter-Action Understanding via Temporal Action Parsing. - Anil Ramakrishna, Shrikanth Narayanan:
Sentence level estimation of psycholinguistic norms using joint multidimensional annotations. - Tongzhou Wang, Phillip Isola:
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere. - Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola:
What makes for good views for contrastive learning. - R. Nandakumar:
Oriented Convex Containers of Polygons -- II. - Alexander Robey, Hamed Hassani, George J. Pappas:
Model-Based Robust Deep Learning. - Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens:
Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. - Bryan Eikema, Wilker Aziz:
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation. - Arash Rahnama, Andrew Tseng:
An Adversarial Approach for Explaining the Predictions of Deep Neural Networks. - José Dihego, Augusto Sampaio, Marcel Oliveira:
A refinement checking based strategy for component-based systems evolution. - Nishat Koti, Mahak Pancholi, Arpita Patra, Ajith Suresh:
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning. - Natasha Alechina, Joseph Y. Halpern, Brian Logan:
Causality, Responsibility and Blame in Team Plans. - Kyle Lawson Crandall, Dustin J. Webb:
Consensus Driven Learning. - Francesco Buccafurri, Vincenzo De Angelis, Cecilia Labrini:
A Privacy-Preserving Solution for Proximity Tracing Avoiding Identifier Exchanging. - Kevin M. Brink, Jincheng Zhang, Andrew R. Willis, Ryan E. Sherrill, Jamie L. Godwin:
Maplets: An Efficient Approach for Cooperative SLAM Map Building Under Communication and Computation Constraints. - Michael Langberg, Michelle Effros:
Edge removal in undirected networks. - Ion Victor Gosea, Serkan Gugercin:
The AAA framework for modeling linear dynamical systems with quadratic output. - Michael Drmota, Gil I. Shamir, Wojciech Szpankowski:
Sequential Universal Modeling for Non-Binary Sequences with Constrained Distributions. - Marko Stamenovic, Jiebo Luo:
Machine Identification of High Impact Research through Text and Image Analysis. - Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
Adversarial Machine Learning in Recommender Systems: State of the art and Challenges. - James R. Wootton:
A quantum procedure for map generation. - Luiz Alberto do Carmo Viana, Manoel B. Campêlo, Ignasi Sau, Ana Silva:
A Unifying Model for Locally Constrained Spanning Tree Problems. - Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz:
InfoScrub: Towards Attribute Privacy by Targeted Obfuscation. - Yutao Zhu, Ruihua Song, Zhicheng Dou, Jian-Yun Nie, Jin Zhou:
ScriptWriter: Narrative-Guided Script Generation. - Mohammad Sina Karvandi, Saleh Khalaj Monfared, Mohammad Sina Kiarostami, Dara Rahmati, Saeid Gorgin:
A Way Around UMIP and Descriptor-Table Exiting via TSX-based Side-Channel Attack. - Arthur Brack, Anett Hoppe, Markus Stocker, Sören Auer, Ralph Ewerth:
Requirements Analysis for an Open Research Knowledge Graph. - Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough:
Long-term electricity market agent based model validation using genetic algorithm based optimization. - José Roberto Ayala Solares, Hiram Ponce:
Supervised learning with artificial hydrocarbon networks: an open source implementation and its applications. - Benjamin Dutton:
Adversarial Canonical Correlation Analysis. - Sabah Al-Fedaghi:
Modeling Physical/Digital Systems: Formal Event-B vs. Diagrammatic Thinging Machine. - Yijun Zhou, James Gregson:
WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose. - Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan:
TAO: A Large-Scale Benchmark for Tracking Any Object. - Gereon Fox, Wentao Liu, Hyeongwoo Kim, Hans-Peter Seidel, Mohamed Elgharib, Christian Theobalt:
VideoForensicsHQ: Detecting High-quality Manipulated Face Videos. - Aalok Thakkar:
Infinitude of Primes Using Formal Language Theory. - Kun Qian, Christian G. Claudel:
Real-time Mobile Sensor Management Framework for city-scale environmental monitoring. - Benedikt Groß, Axel Flinth, Ingo Roth, Jens Eisert, Gerhard Wunder:
Hierarchical sparse recovery from hierarchically structured measurements. - Nan Rong, Joseph Y. Halpern, Ashutosh Saxena:
MDPs with Unawareness in Robotics. - Ákos Hajdu, Dejan Jovanovic, Gabriela F. Ciocarlie:
Formal Specification and Verification of Solidity Contracts with Events. - Matvey Soloviev, Joseph Y. Halpern:
Information Acquisition Under Resource Limitations in a Noisy Environment. - Jessica Díaz, Daniel López-Fernández, Jorge Pérez, Ángel González-Prieto:
Why are many business instilling a DevOps culture into their organization? - Dan Iter, Kelvin Guu, Larry Lansing, Dan Jurafsky:
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models. - Caio Souza, Luiz Velho:
Deep Reinforcement Learning for High Level Character Control. - Sarah Bird:
Tracking Measurement Obfuscations from SourceURL. - Kosuke Imai, Zhichao Jiang:
Principal Fairness for Human and Algorithmic Decision-Making. - Fanglin Chen, Xiao Liu, Davide Proserpio, Isamar Troncoso, Feiyu Xiong:
Studying Product Competition Using Representation Learning. - Jude Khouja:
Stance Prediction and Claim Verification: An Arabic Perspective. - Zixuan Huang, Yin Li:
Interpretable and Accurate Fine-grained Recognition via Region Grouping. - Jonas H. Müller Korndörfer, Mario Bielert, Laércio Lima Pilla, Florina M. Ciorba:
Mapping Matters: Application Process Mapping on 3-D Processor Topologies. - Yan Leng, Yujia Zhai, Shaojing Sun, Yifei Wu, Jordan Selzer, Sharon Strover, Julia Fensel, Alex Pentland, Ying Ding:
Analysis of misinformation during the COVID-19 outbreak in China: cultural, social and political entanglements. - Abdelrahman Abdallah, Mahmoud SalahEldin Kasem, Mohamed Hamada, Shaymaa Sdeek:
Automated Question Answer medical model based on Deep Learning Technology. - Liam Schramm, Avishai Sintov, Abdeslam Boularias:
Learning to Transfer Dynamic Models of Underactuated Soft Robotic Hands. - Aditya Krishna Menon, Ankit Singh Rawat, Sashank J. Reddi, Seungyeon Kim, Sanjiv Kumar:
Why distillation helps: a statistical perspective. - Mengtian Li, Yu-Xiong Wang, Deva Ramanan:
Towards Streaming Image Understanding. - Suzanne Mueller, Willow Ahrens, Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe:
Sparse Tensor Transpositions. - Christiana Chamon, Shahriar Ferdous, Laszlo B. Kish:
Random Number Generator Attack against the Kirchhoff-Law-Johnson-Noise Secure Key Exchange Protocol. - Jungseock Joo, Kimmo Kärkkäinen:
Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation. - Mihir Kale:
Text-to-Text Pre-Training for Data-to-Text Tasks. - Yu Song, Zilong Huang, Chuanyue Shen, Humphrey Shi, David A. Lange:
Deep Learning-Based Automated Image Segmentation for Concrete Petrographic Analysis. - Haohan Guo, Shaofei Zhang, Frank K. Soong, Lei He, Lei Xie:
Conversational End-to-End TTS for Voice Agent. - Naoto Sato, Hironobu Kuruma, Hideto Ogawa:
Unsupposable Test-data Generation for Machine-learned Software. - Yaniv Rubinpur, Sivan Toledo:
High-Performance GPU and CPU Signal Processing for a Reverse-GPS Wildlife Tracking System. - William Rea:
The Lanczos Approximation for the Γ-Function with Complex Coefficients. - Shuke Peng, Feng Ji, Zehao Lin, Shaobo Cui, Haiqing Chen, Yin Zhang:
MTSS: Learn from Multiple Domain Teachers and Become a Multi-domain Dialogue Expert. - Yucong Shen, Li Shen, Hao-Zhi Huang, Xuan Wang, Wei Liu:
CPOT: Channel Pruning via Optimal Transport. - Curtis Murray, Lewis Mitchell, Jonathan Tuke, Mark Mackay:
Symptom extraction from the narratives of personal experiences with COVID-19 on Reddit. - Md. Redowan Mahmud, Kotagiri Ramamohanarao, Rajkumar Buyya:
Application Management in Fog Computing Environments: A Taxonomy, Review and Future Directions. - Muhammad Muddassir, Domingo Gomez, Shujian Chen, Luyin Hu, David Navarro-Alarcon:
Robotics Meets Cosmetic Dermatology: Development of a Novel Vision-Guided System for Skin Photo-Rejuvenation. - Haoneng Luo, Shiliang Zhang, Ming Lei, Lei Xie:
Simplified Self-Attention for Transformer-based End-to-End Speech Recognition. - Ashutosh Baheti, Alan Ritter, Kevin Small:
Fluent Response Generation for Conversational Question Answering. - Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram:
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. - Siamak Zamani Dadaneh, Shahin Boluki, Mingzhang Yin, Mingyuan Zhou, Xiaoning Qian:
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator. - Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Houman Ghaemmaghami, Clinton Fookes:
Understanding the Importance of Heart Sound Segmentation for Heart Anomaly Detection. - Maxim Berman, Leonid Pishchulin, Ning Xu, Matthew B. Blaschko, Gérard G. Medioni:
AOWS: Adaptive and optimal network width search with latency constraints. - Amir Dembo, Sreeram Kannan, Ertem Nusret Tas, David Tse, Pramod Viswanath, Xuechao Wang, Ofer Zeitouni:
Everything is a Race and Nakamoto Always Wins. - Mahawaga Arachchige Pathum Chamikara, Peter Bertók, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe:
Privacy Preserving Face Recognition Utilizing Differential Privacy. - Atreyee Kundu:
On stabilizability of switched linear systems under restricted switching. - Yonghyun Kim, Wonpyo Park, Myung-Cheol Roh, Jongju Shin:
GroupFace: Learning Latent Groups and Constructing Group-based Representations for Face Recognition. - Johannes Brünger, Maria Gentz, Imke Traulsen, Reinhard Koch:
Panoptic Instance Segmentation on Pigs. - Alexander E. Beasley, Mohammed-Salah Abdelouahab, René Lozi, Anna L. Powell, Andrew Adamatzky:
On memfractance of plants and fungi. - Diogo M. Costa, Alexandre P. Francisco, Luís M. S. Russo:
Hardness of Modern Games. - Junbum Cha, Sanghyuk Chun, Gayoung Lee, Bado Lee, Seonghyeon Kim, Hwalsuk Lee:
Few-shot Compositional Font Generation with Dual Memory. - Ronghao Guo, Chen Lin, Chuming Li, Keyu Tian, Ming Sun, Lu Sheng, Junjie Yan:
Powering One-shot Topological NAS with Stabilized Share-parameter Proxy. - Xi Li, Huimin Ma, Hongbing Ma, Yidong Wang:
Unsupervised segmentation via semantic-apparent feature fusion. - David Charte, Francisco Charte, María José del Jesus, Francisco Herrera:
An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges. - Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu:
HyperSTAR: Task-Aware Hyperparameters for Deep Networks. - Hitika Tiwari, Satyajit Thakor:
On Characterization of Entropic Vectors at the Boundary of Almost Entropic Cones. - Carola Carlino, Gennaro Nolano, Maria Pia di Buono, Johanna Monti:
LaCulturaNonSiFerma - Report su uso e la diffusione degli hashtag delle istituzioni culturali italiane durante il periodo di lockdown. - Satyajit Thakor, Mohammad Ishtiyaq Qureshi:
Undirected Unicast Network Capacity: A Partition Bound. - Michiel Straat, Fthi Abadi, Zhuoyun Kan, Christina Göpfert, Barbara Hammer, Michael Biehl:
Supervised Learning in the Presence of Concept Drift: A modelling framework. - Mohammad Ishtiyaq Qureshi, Satyajit Thakor:
On the Partition Bound for Undirected Unicast Network Information Capacity. - Weishu Liu:
China's SCI-indexed publications: facts, feelings, and future directions. - Paula Muñoz-Lago, Gonzalo Méndez:
An approach to Beethoven's 10th Symphony. - MohammadReza Tavakoli, Mirette Elias, Gábor Kismihók, Sören Auer:
Quality Prediction of Open Educational Resources A Metadata-based Approach. - John Cai, Sheng Mei Shen:
Cross-Domain Few-Shot Learning with Meta Fine-Tuning. - Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, Hongbo Deng:
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance. - Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun:
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. - Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification. - Manoranjan Mohanty, Waheeb Yaqub:
Towards Seamless Authentication for Zoom-Based Online Teaching and Meeting. - Conrad Watt, Christopher Pulte, Anton Podkopaev, Guillaume Barbier, Stephen Dolan, Shaked Flur, Jean Pichon-Pharabod, Shu-yu Guo:
Repairing and Mechanising the JavaScript Relaxed Memory Model. - Ahmad AlAmmouri, Manan Gupta, François Baccelli, Jeffrey G. Andrews:
Escaping the Densification Plateau in Cellular Networks Through mmWave Beamforming. - Mohsen Ghaffari, Ce Jin, Daan Nilis:
A Massively Parallel Algorithm for Minimum Weight Vertex Cover. - K. R. Sahasranand, Himanshu Tyagi:
Communication Complexity of Distributed High Dimensional Correlation Testing. - Martina Mammarella, Teodoro Alamo, Fabrizio Dabbene, Matthias Lorenzen:
Computationally efficient stochastic MPC: a probabilistic scaling approach. - (Withdrawn) Predictive Control of Rural Microgrids with Temperature-dependent Battery Degradation Cost.
- Filippo Vannella, Jaeseong Jeong, Alexandre Proutière:
Off-policy Learning for Remote Electrical Tilt Optimization. - Yiyang Shen, Yidan Feng, Sen Deng, Dong Liang, Jing Qin, Haoran Xie, Mingqiang Wei:
MBA-RainGAN: Multi-branch Attention Generative Adversarial Network for Mixture of Rain Removal from Single Images. - Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton:
MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora. - Lia Morra, Luca Piano, Fabrizio Lamberti, Tatiana Tommasi:
Bridging the gap between Natural and Medical Images through Deep Colorization. - MohammadReza Tavakoli, Sherzod Hakimov, Ralph Ewerth, Gábor Kismihók:
A Recommender System For Open Educational Videos Based On Skill Requirements. - Steven J. Frank, Andrea M. Frank:
A Neural Network Looks at Leonardo's(?) Salvator Mundi. - Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen:
Sequential Recommendation with Self-Attentive Multi-Adversarial Network. - Hiten Choudhury, Bidisha Goswami, Sameer Kumar Gurung:
CovidChain: An Anonymity Preserving Blockchain Based Framework for Protection Against Covid-19. - Marina Fomicheva, Shuo Sun, Lisa Yankovskaya, Frédéric Blain, Francisco Guzmán, Mark Fishel, Nikolaos Aletras, Vishrav Chaudhary, Lucia Specia:
Unsupervised Quality Estimation for Neural Machine Translation. - Marc Goerigk, Adam Kasperski, Pawel Zielinski:
Combinatorial two-stage minmax regret problems under interval uncertainty. - Raphaël James, Anastasia Bezerianos, Olivier Chapuis, Maxime Cordeil, Tim Dwyer, Arnaud Prouzeau:
Personal+Context navigation: combining AR and shared displays in network path-following. - Souvik Chakraborty:
Transfer learning based multi-fidelity physics informed deep neural network. - Rolf Jagerman, Maarten de Rijke:
Accelerated Convergence for Counterfactual Learning to Rank. - Sindhu Padakandla:
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments. - Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu:
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. - Manish Raghavan, Aleksandrs Slivkins, Jennifer Wortman Vaughan, Zhiwei Steven Wu:
Greedy Algorithm almost Dominates in Smoothed Contextual Bandits. - Wenzhi Fang, Min Fu, Kunlun Wang, Yuanming Shi, Yong Zhou:
Stochastic Beamforming for Reconfigurable Intelligent Surface Aided Over-the-Air Computation. - Hilal Asi, John C. Duchi:
Near Instance-Optimality in Differential Privacy. - Enrico Schiassi, Carl Leake, Mario De Florio, Hunter Johnston, Roberto Furfaro, Daniele Mortari:
Extreme Theory of Functional Connections: A Physics-Informed Neural Network Method for Solving Parametric Differential Equations. - Rajan M. A, Manish Shukla, Sachin Lodha:
A Note on Cryptographic Algorithms for Private Data Analysis in Contact Tracing Applications. - Randall Balestriero:
SymJAX: symbolic CPU/GPU/TPU programming. - Michihiro Yasunaga, Percy Liang:
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback. - Qing Wang, Pengcheng Guo, Lei Xie:
Inaudible Adversarial Perturbations for Targeted Attack in Speaker Recognition. - Smith W. A. Canchumuni, Jose David Bermudez Castro, Júlia Potratz, Alexandre Anozé Emerick, Marco Aurélio Cavalcanti Pacheco:
Recent Developments Combining Ensemble Smoother and Deep Generative Networks for Facies History Matching. - Jessica McBroom, Kalina Yacef, Irena Koprinska:
DETECT: A Hierarchical Clustering Algorithm for Behavioural Trends in Temporal Educational Data. - Jayri Bagchi, Tapas Si:
Nonlinear Regression Analysis Using Multi-Verse Optimizer. - Marinos Poiitis, Athena Vakali, Nicolas Kourtellis:
On the Aggression Diffusion Modeling and Minimization in Online Social Networks. - Yanjun Cao, Chenhao Yang, Rui Li, Alois C. Knoll, Giovanni Beltrame:
Accurate position tracking with a single UWB anchor. - Joseph Sweeney, Mohammed Zackriya V, Samuel Pagliarini, Lawrence T. Pileggi:
Latch-Based Logic Locking. - Sina Ahmadi, Hossein Hassani:
Towards Finite-State Morphology of Kurdish. - Vladislav Korablinov, Pavel Braslavski:
RuBQ: A Russian Dataset for Question Answering over Wikidata. - Thierry Lecomte, David Déharbe, Paulin Fournier, Marcel Oliveira:
The CLEARSY Safety Platform: 5 Years of Research, Development and Deployment. - Oran Gafni, Lior Wolf:
Wish You Were Here: Context-Aware Human Generation. - Giuseppa Castiglione, Gabriele Fici, Antonio Restivo:
Primitive Sets of Words. - Michele Lombardi, Federico Baldo, Andrea Borghesi, Michela Milano:
An Analysis of Regularized Approaches for Constrained Machine Learning. - David Brayford, Sofia Vallecorsa:
Deploying Scientific AI Networks at Petaflop Scale on Secure Large Scale HPC Production Systems with Containers. - Shun-Po Chuang, Tzu-Wei Sung, Alexander H. Liu, Hung-yi Lee:
Worse WER, but Better BLEU? Leveraging Word Embedding as Intermediate in Multitask End-to-End Speech Translation. - Anton G. Artemov, Emanuel H. Rubensson:
Sparse approximate matrix-matrix multiplication with error control. - Nariman Farsad, Will Chuang, Andrea Goldsmith, Christos Komninakis, Muriel Médard, Christopher Rose, Lieven Vandenberghe, Emily E. Wesel, Richard D. Wesel:
Capacities and Optimal Input Distributions for Particle-Intensity Channels. - Melih Bastopcu, Sennur Ulukus:
Information Freshness in Cache Updating Systems with Limited Cache Storage Capacity. - Peter Robinson:
Performance Overhead of Atomic Crosschain Transactions. - Leixin Zhou, Wenxiang Deng, Xiaodong Wu:
Unsupervised anomaly localization using VAE and beta-VAE. - Andrea Borghesi, Federico Baldo, Michela Milano:
Improving Deep Learning Models via Constraint-Based Domain Knowledge: a Brief Survey. - Mansura Habiba, Barak A. Pearlmutter:
Neural ODEs for Informative Missingness in Multivariate Time Series. - Hao Sun, Zhenghao Peng, Bo Dai, Jian Guo, Dahua Lin, Bolei Zhou:
Novel Policy Seeking with Constrained Optimization. - Robin Hirt, Niklas Kühl, Yusuf Peker, Gerhard Satzger:
How to Learn from Others: Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting. - Hayden S. Helm, Amitabh Basu, Avanti Athreya, Youngser Park, Joshua T. Vogelstein, Michael Winding, Marta Zlatic, Albert Cardona, Patrick Bourke, Jonathan Larson, Christopher M. White, Carey E. Priebe:
Learning to rank via combining representations. - Alexandru Mara, Yoosof Mashayekhi, Jefrey Lijffijt, Tijl De Bie:
CSNE: Conditional Signed Network Embedding. - Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg:
TASO: Time and Space Optimization for Memory-Constrained DNN Inference. - Amir Ban, Moran Koren:
Sequential Fundraising and Social Insurance. - Weixin Liang, James Zou, Zhou Yu:
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation. - Zheqi Zhu, Shanyun Liu, Rui She, Shuo Wan, Pingyi Fan, Khaled B. Letaief:
An Importance Aware Weighted Coding Theorem Using Message Importance Measure. - Irene Lo, Vahideh H. Manshadi, Scott Rodilitz, Ali Shameli:
Optimal Growth in Repeated Matching Platforms: Options versus Adoption. - Martijn S. Visser, Nees Jan van Eck, Ludo Waltman:
Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic. - Noureddine Belkhatir, Jacky Estublier, Walcélio L. Melo:
THE ADELE-TEMPO experience : an environment to support process modeling and enaction. - Bruno Perez, Julien Henriet, Christophe Lang, Laurent Philippe:
Multi-agent model for risk prediction in surgery. - Nicolas Aragon, Philippe Gaborit, Gilles Zémor:
HQC-RMRS, an instantiation of the HQC encryption framework with a more efficient auxiliary error-correcting code. - Mohammed Yousefhussiena, David J. Kelbeb, Carl Salvaggioa:
A Nearest Neighbor Network to Extract Digital Terrain Models from 3D Point Clouds. - Nagaganesh Jaladanki, Wilson Wu:
Distributed Verifiers in PCP. - Byeong Cheon Kim, Jung Uk Kim, Hakmin Lee, Yong Man Ro:
Revisiting Role of Autoencoders in Adversarial Settings. - Jingbo Tan, Linglong Dai:
THz Precoding for 6G: Applications, Challenges, Solutions, and Opportunities. - Hong Joo Lee, Seong Tae Kim, Hakmin Lee, Nassir Navab, Yong Man Ro:
Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation. - Daniel E. Shea, Steven L. Brunton, J. Nathan Kutz:
SINDy-BVP: Sparse Identification of Nonlinear Dynamics for Boundary Value Problems. - Hakmin Lee, Hong Joo Lee, Seong Tae Kim, Yong Man Ro:
Robust Ensemble Model Training via Random Layer Sampling Against Adversarial Attack. - Leighton Pate Barnes, Huseyin A. Inan, Berivan Isik, Ayfer Özgür:
rTop-k: A Statistical Estimation Approach to Distributed SGD. - Zhen Dong, Abhishek Tiwari, Xiao Liang Yu, Abhik Roychoudhury:
Concurrency-related Flaky Test Detection in Android apps. - Devansh Jalota, Marco Pavone, Yinyu Ye:
Markets for Efficient Public Good Allocation. - Tianxin Shi, Hainan Cui, Zhuo Song, Shuhan Shen:
Dense Semantic 3D Map Based Long-Term Visual Localization with Hybrid Features. - Marta D'Elia, Max D. Gunzburger, Christian Vollmann:
A cookbook for finite element methods for nonlocal problems, including quadrature rules and approximate Euclidean balls. - Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao:
Manifold Alignment for Semantically Aligned Style Transfer. - Leighton Pate Barnes, Wei-Ning Chen, Ayfer Özgür:
Fisher information under local differential privacy. - Evgeny Shishkin, Evgeny Kislitsyn:
SafeComp: Protocol For Certifying Cloud Computations Integrity. - Itzel Vázquez Sandoval, Arash Atashpendar, Gabriele Lenzini:
Authentication and Key Management Automation in Decentralized Secure Email and Messaging via Low-Entropy Secrets. - Anastasiya Gorodilova:
A note on the properties of associated Boolean functions of quadratic APN functions. - Alexander Mehler, Bernhard Jussen, Tim Geelhaar, Alexander Henlein, Giuseppe Abrami, Daniel Baumartz, Tolga Uslu, Wahed Hemati:
The Frankfurt Latin Lexicon: From Morphological Expansion and Word Embeddings to SemioGraphs. - Nihat Ay:
On the Locality of the Natural Gradient for Deep Learning. - Katarzyna Paluch:
New Approximation Algorithms for Maximum Asymmetric Traveling Salesman and Shortest Superstring. - Farhad Pakdaman, Mohammad Ali Adelimanesh, Moncef Gabbouj, Mahmoud Reza Hashemi:
Complexity Analysis Of Next-Generation VVC Encoding and Decoding. - Ruosong Wang, Ruslan Salakhutdinov, Lin F. Yang:
Provably Efficient Reinforcement Learning with General Value Function Approximation. - Stephan Wojtowytsch, Weinan E:
Can Shallow Neural Networks Beat the Curse of Dimensionality? A mean field training perspective. - Andrew Tao, Karan Sapra, Bryan Catanzaro:
Hierarchical Multi-Scale Attention for Semantic Segmentation. - Lampros Gavalakis, Ioannis Kontoyiannis:
Sharp Second-Order Pointwise Asymptotics for Lossless Compression with Side Information. - Jheng-Wei Su, Hung-Kuo Chu, Jia-Bin Huang:
Instance-aware Image Colorization. - Lianna Hambardzumyan, Yaqiao Li:
Chang's lemma via Pinsker's inequality. - Surin Ahn, Ayfer Özgür, Mert Pilanci:
Global Multiclass Classification from Heterogeneous Local Models. - Yinghan Long, Indranil Chakraborty, Kaushik Roy:
Conditionally Deep Hybrid Neural Networks Across Edge and Cloud. - Yaqiao Li, Vishnu V. Narayan, Denis Pankratov:
Online Coloring and a New Type of Adversary for Online Graph Problems. - Jochen Könemann, Justin Toth:
A General Framework for Computing the Nucleolus Via Dynamic Programming. - Vaneet Aggarwal, Tian Lan:
Modeling and Optimization of Latency in Erasure-coded Storage Systems. - Ankit Laddha, Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez:
RV-FuseNet: Range View based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting. - Michael Garrett Bechtel, Heechul Yun:
Memory-Aware Denial-of-Service Attacks on Shared Cache in Multicore Real-Time Systems. - Benjamin E. Nye, Ani Nenkova, Iain James Marshall, Byron C. Wallace:
Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time. - Saurabh Sinha, Xiaoqing Xu, Mudit Bhargava, Shidhartha Das, Brian Cline, Greg Yeric:
Stack up your chips: Betting on 3D integration to augment Moore's Law scaling. - Michelle A. Lee, Carlos Florensa, Jonathan Tremblay, Nathan D. Ratliff, Animesh Garg, Fabio Ramos, Dieter Fox:
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning. - Marco Toldo, Andrea Maracani, Umberto Michieli, Pietro Zanuttigh:
Unsupervised Domain Adaptation in Semantic Segmentation: a Review. - Hamideh Sadat Fazael Ardakani, Sajad Daei, Farzan Haddadi:
Multi-weight Nuclear Norm Minimization for Low-rank Matrix Recovery in Presence of Subspace Prior Information. - Steven Thomas Smith, Edward K. Kao, Erika D. Mackin, Danelle C. Shah, Olga Simek, Donald B. Rubin:
Automatic Detection of Influential Actors in Disinformation Networks. - Bargav Jayaraman, Lingxiao Wang, David Evans, Quanquan Gu:
Revisiting Membership Inference Under Realistic Assumptions. - Shahedeh Sayyari, Sajad Daei, Farzan Haddadi:
Blind Two-Dimensional Super Resolution in Multiple Input Single Output Linear Systems. - Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag, Prateek Mittal:
PatchGuard: Provable Defense against Adversarial Patches Using Masks on Small Receptive Fields. - Robert Andrews:
Algebraic Hardness versus Randomness in Low Characteristic. - Jorge Pérez, Jessica Díaz, Javier García Martín, Bernardo Tabuenca:
Systematic Literature Reviews in Software Engineering - Enhancement of the Study Selection Process using Cohen's Kappa Statistic. - Ashim Gupta, Amrith Krishna, Pawan Goyal, Oliver Hellwig:
Evaluating Neural Morphological Taggers for Sanskrit. - Jim Samuel, G. G. Md. Nawaz Ali, Md. Mokhlesur Rahman, Ek Esawi, Yana Samuel:
COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification. - Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou:
Extracting Daily Dosage from Medication Instructions in EHRs: An Automated Approach and Lessons Learned. - Peratham Wiriyathammabhum:
SpotFast Networks with Memory Augmented Lateral Transformers for Lipreading. - J. Darby Smith, William Severa, Aaron J. Hill, Leah Reeder, Brian Franke, Richard B. Lehoucq, Ojas D. Parekh, James B. Aimone:
Solving a steady-state PDE using spiking networks and neuromorphic hardware. - Bharti Munjal, Abdul Rafey Aftab, Sikandar Amin, Meltem D. Brandlmaier, Federico Tombari, Fabio Galasso:
Joint Detection and Tracking in Videos with Identification Features. - Antonio Gómez Expósito, Ángel Arcos-Vargas, Francisco Gutierrez-Garcia:
On the potential contribution of rooftop PV to a sustainable electricity mix: the case of Spain. - Sourya Dipta Das, Soumil Mandal:
Team Neuro at SemEval-2020 Task 8: Multi-Modal Fine Grain Emotion Classification of Memes using Multitask Learning. - Shunsuke Kanda, Koh Takeuchi, Keisuke Fujii, Yasuo Tabei:
Succinct Trit-array Trie for Scalable Trajectory Similarity Search. - Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun:
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. - Viet Anh Trinh, Michael I. Mandel:
Large scale evaluation of importance maps in automatic speech recognition. - Homanga Bharadhwaj, Animesh Garg, Florian Shkurti:
Dynamics-Aware Latent Space Reachability for Exploration in Temporally-Extended Tasks. - Hao Tang, Hong Liu, Wei Xiao, Nicu Sebe:
When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition with Limited Data. - Tong Yang, Kai Shen, Sixuan He, Enyu Li, Peter Sun, Lin Zuo, Jiayue Hu, Yiwen Mo, Weiwei Zhang, Pingying Chen, Haonan Zhang, Jingxue Chen, Yu Guo:
CovidNet: To Bring the Data Transparency in Era of COVID-19. - Xiaoxu Li, Zhuo Sun, Jing-Hao Xue, Zhanyu Ma:
A Concise Review of Recent Few-shot Meta-learning Methods. - Mohammad Rami Koujan, Michail Christos Doukas, Anastasios Roussos, Stefanos Zafeiriou:
Head2Head: Video-based Neural Head Synthesis. - Lina Zhao, Dohyun Kim, Eun-Jae Park, Eric T. Chung:
Staggered DG method with small edges for Darcy flows in fractured porous media. - Tong Yang, Long Sha, Pengyu Hong:
A Group-Theoretic Framework for Knowledge Graph Embedding. - Harini Suresh, Natalie Lao, Ilaria Liccardi:
Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making. - Jim Samuel, Md. Mokhlesur Rahman, G. G. Md. Nawaz Ali, Yana Samuel, Alexander Pelaez:
Feeling Like It is Time to Reopen Now? COVID-19 New Normal Scenarios based on Reopening Sentiment Analytics. - Kechen Qin, Yu Wang, Cheng Li, Kalpa Gunaratna, Hongxia Jin, Virgil Pavlu, Javed A. Aslam:
A Complex KBQA System using Multiple Reasoning Paths. - Zhi Qiao, Yu Zhou, Dongbao Yang, Yucan Zhou, Weiping Wang:
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition. - Prateek Shroff, Tianlong Chen, Yunchao Wei, Zhangyang Wang:
Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification. - Donggen Dai, Wangkit Wong, Zhuojun Chen:
RankPose: Learning Generalised Feature with Rank Supervision for Head Pose Estimation. - Jiawei Chen, Rongfang Wang, Fan Ding, Bo Liu, Licheng Jiao, Jie Zhang:
A Convolutional Neural Network with Parallel Multi-Scale Spatial Pooling to Detect Temporal Changes in SAR Images. - Youngjoon Yu, Hong Joo Lee, Byeong Cheon Kim, Jung Uk Kim, Yong Man Ro:
Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning. - Nhan T. Nguyen, Dat Q. Tran, Nghia T. Nguyen, Ha Q. Nguyen:
A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scans. - Yulin Zhang, Dylan A. Shell:
Abstractions for computing all robotic sensors that suffice to solve a planning problem. - Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook:
Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data. - Chengwei Chen, Wang Yuan, Xuequan Lu, Lizhuang Ma:
Spoof Face Detection Via Semi-Supervised Adversarial Training. - Gregor Gantner, Rob Stevenson:
Further results on a space-time FOSLS formulation of parabolic PDEs. - Mutaz Y. Melhem, Christiana Chamon, Shahriar Ferdous, Laszlo B. Kish:
AC Loop Current Attacks Against The KLJN Secure Key Exchange Scheme. - Teruaki Hayashi, Gensei Ishimura, Yukio Ohsawa:
Modeling Stakeholder-centric Value Chain of Data to Understand Data Exchange Ecosystem. - Yeongjae Gil, Xiaoqian Jiang, Miran Kim, Junghye Lee:
Secure and Differentially Private Bayesian Learning on Distributed Data. - Liang Wang, Jinlong Liu, Jingming Liu:
Investigating Label Bias in Beam Search for Open-ended Text Generation. - Ajay Chatterjee, Shubhashis Sengupta:
Intent Mining from past conversations for Conversational Agent. - Thomas Führer, Dirk Praetorius:
A short note on plain convergence of adaptive least-squares finite element methods. - Anis Najar, Mohamed Chetouani:
Reinforcement learning with human advice. A survey. - Mengxi Wei, Yifan He, Qiong Zhang:
Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models. - Jingge Zhu:
Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful. - Florian Richoux:
microPhantom: Playing microRTS under uncertainty and chaos. - Parvathy Panicker:
Exploring cultural challenges to implementing Educational Technology in the higher education sector in India. - Philipp Scharpf, Moritz Schubotz, Abdou Youssef, Felix Hamborg, Norman Meuschke, Bela Gipp:
Classification and Clustering of arXiv Documents, Sections, and Abstracts, Comparing Encodings of Natural and Mathematical Language. - Wenjun Shi, Qinxiang Cao, Yuxin Deng, Hanru Jiang, Yuan Feng:
Symbolic Reasoning about Quantum Circuits in Coq. - Xingwu Liu, Zhida Pan, Yuyi Wang:
Target Location Problem for Multi-commodity Flow. - Giulia Cisotto, Martina Capuzzo, Anna V. Guglielmi, Andrea Zanella:
Feature selection for gesture recognition in Internet-of-Things for healthcare. - Bin Wang, Le Xie, Slava Maslennikov, Xiaochuan Luo, Qiang Zhang, Mingguo Hong:
A Modal-Space Method for Online Power System Steady-State Stability Monitoring. - Shijie Hao, Yuan Zhou, Yanrong Guo, Richang Hong:
Bi-direction Context Propagation Network for Real-time Semantic Segmentation. - Jangho Kim, KiYoon Yoo, Nojun Kwak:
Position-based Scaled Gradient for Model Quantization and Sparse Training. - Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen, Li Zhang:
Style Normalization and Restitution for Generalizable Person Re-identification. - Yuki Ueda, Takashi Ishio, Akinori Ihara, Kenichi Matsumoto:
DevReplay: Automatic Repair with Editable Fix Pattern. - Fan Zhou, Xovee Xu, Goce Trajcevski, Kunpeng Zhang:
A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances. - Hongyu Li, Xiaogang Huang, Zhihui Fu, Xiaolin Li:
Arbitrary-sized Image Training and Residual Kernel Learning: Towards Image Fraud Identification. - Marc Blanchon, Olivier Morel, Fabrice Mériaudeau, Ralph Seulin, Désiré Sidibé:
Polarimetric image augmentation. - Michaël Chirmeni Boujike, Jerry Lonlac, Norbert Tsopzé, Engelbert Mephu Nguifo:
Discovering Frequent Gradual Itemsets with Imprecise Data. - Ali Mokhtari, Chavit Denninnart, Mohsen Amini Salehi:
Autonomous Task Dropping Mechanism to Achieve Robustness in Heterogeneous Computing Systems. - Jun Zhang, Mina Henein, Robert E. Mahony, Viorela Ila:
VDO-SLAM: A Visual Dynamic Object-aware SLAM System. - Song Hua, Shenbin Zhang, Bingfeng Pi, Jun Sun, Kazuhiro Yamashita, Yoshihide Nomura:
Reasonableness discussion and analysis for Hyperledger Fabric configuration. - Kushal Chauhan, Abhirut Gupta:
Improving Segmentation for Technical Support Problems. - Mark Briers, Marcos Charalambides, Chris C. Holmes:
Risk scoring calculation for the current NHSx contact tracing app. - Peng Hang, Chen Lv, Chao Huang, Jiacheng Cai, Zhongxu Hu, Yang Xing:
An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors. - Hokuto Hirano, Kazuki Koga, Kazuhiro Takemoto:
Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks. - Peng Hang, Chen Lv, Yang Xing, Chao Huang, Zhongxu Hu:
Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach. - Wenjie Huang, Jing Jiang, Xiao Liu:
Online Non-convex Learning for River Pollution Source Identification. - Diego Antognini, Claudiu Musat, Boi Faltings:
T-RECS: a Transformer-based Recommender Generating Textual Explanations and Integrating Unsupervised Language-based Critiquing. - Olivia Johanna Erdélyi, Judy Goldsmith:
Regulating Artificial Intelligence: Proposal for a Global Solution. - George Kyriakides, Konstantinos G. Margaritis:
An Introduction to Neural Architecture Search for Convolutional Networks. - Hanchu Zhang, Leonhard Hennig, Christoph Alt, Changjian Hu, Yao Meng, Chao Wang:
Bootstrapping Named Entity Recognition in E-Commerce with Positive Unlabeled Learning. - Donghao Xu, Zhezhang Ding, Chenfeng Tu, Huijing Zhao, Mathieu Moze, François Aioun, Franck Guillemard:
Driver Identification through Stochastic Multi-State Car-Following Modeling. - Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Jie Tang:
Graph Random Neural Network. - Natalia Vesselinova, Rebecca Steinert, Daniel F. Perez-Ramirez, Magnus Boman:
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking. - Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or:
Point2Mesh: A Self-Prior for Deformable Meshes. - Yania Molina Souto, Rafael S. Pereira, Rocío Zorrilla, Anderson Chaves da Silva, Brian Tsan, Florin Rusu, Eduardo S. Ogasawara, Artur Ziviani, Fábio Porto:
DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-temporal Models. - Francesco Verdoja, Ville Kyrki:
On the Potential of Smarter Multi-layer Maps. - Julien Bringer, Hervé Chabanne, Linda Guiga:
Premium Access to Convolutional Neural Networks. - Javier Hernandez-Ortega, Julian Fiérrez, Aythami Morales, David Diaz:
A Comparative Evaluation of Heart Rate Estimation Methods using Face Videos. - Fariba Abbasi, Emanuele Viterbo:
Large Kernel Polar Codes with efficient Window Decoding. - Masahide Ito:
State-switching control of the second-order chained form system. - Jacques Dark, Christian Konrad:
Optimal Lower Bounds for Matching and Vertex Cover in Dynamic Graph Streams. - (Withdrawn) Review of Quadruped Robots for Dynamic Locomotion.
- Mariona Coll Ardanuy, Federico Nanni, Kaspar Beelen, Kasra Hosseini, Ruth Ahnert, Jon Lawrence, Katherine McDonough, Giorgia Tolfo, Daniel C. S. Wilson, Barbara McGillivray:
Living Machines: A study of atypical animacy. - Haotian Liu, Wenchuan Wu:
Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks. - Saaketh Desai, Alejandro Strachan:
Parsimonious neural networks learn classical mechanics and can teach it. - Tomasz Szydlo, Joanna Sendorek, Robert Brzoza-Woch, Mateusz Windak:
Machine Learning in the Internet of Things for Industry 4.0. - Felix G. Hamza-Lup, Aditya Suri, Ionut Emil Iacob, Ioana R. Goldbach, Lateef Rasheed, Paul Nicolae Borza:
Attention Patterns Detection using Brain Computer Interfaces. - Hongyin Luo, Shang-Wen Li, James R. Glass:
Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption. - Christian Göttel, Lars Nielsen, Niloofar Yazdani, Pascal Felber, Daniel E. Lucani, Valerio Schiavoni:
Hermes: Enabling Energy-efficient IoT Networks with Generalized Deduplication. - Yusuke Sakumoto, Hiroyuki Ohsaki:
Degree Heterogeneity in a Graph Facilitates Quicker Meeting of Random Walkers. - Malte Schilling, Kai Konen, Frank W. Ohl, Timo Korthals:
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot. - Yong Huang, Wei Wang, Hao Wang, Tao Jiang, Qian Zhang:
Authenticating On-Body IoT Devices: An Adversarial Learning Approach. - Irina Nikishina, Varvara Logacheva, Alexander Panchenko, Natalia V. Loukachevitch:
RUSSE'2020: Findings of the First Taxonomy Enrichment Task for the Russian language. - Umair Qazi, Muhammad Imran, Ferda Ofli:
GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information. - Sona Ghahremani, Holger Giese, Thomas Vogel:
Improving Scalability and Reward of Utility-Driven Self-Healing for Large Dynamic Architectures. - Hemant Yadav, Sreyan Ghosh, Yi Yu, Rajiv Ratn Shah:
End-to-end Named Entity Recognition from English Speech. - Danni Liu, Gerasimos Spanakis, Jan Niehues:
Low-Latency Sequence-to-Sequence Speech Recognition and Translation by Partial Hypothesis Selection. - Torben Hagerup:
Still Simpler Static Level Ancestors. - Wouter Lueks, Iñigo Querejeta-Azurmendi, Carmela Troncoso:
VoteAgain: A scalable coercion-resistant voting system. - Bin Wang, Xiaofei Zhao:
Error estimates of some splitting schemes for charged-particle dynamics under strong magnetic field. - Charlie Kirkwood:
Deep covariate-learning: optimising information extraction from terrain texture for geostatistical modelling applications. - Rui Yao, Shlomo Bekhor:
A Dynamic Tree Algorithm for On-demand Peer-to-peer Ride-sharing Matching. - Sneha Mehta, Bahareh Azarnoush, Boris Chen, Avneesh Saluja, Vinith Misra, Ballav Bihani, Ritwik Kumar:
Simplify-then-Translate: Automatic Preprocessing for Black-Box Machine Translation. - Tomislav Petkovic, Jakub Hvezda, Tomás Rybecký, Ivan Markovic, Miroslav Kulich, Libor Preucil, Ivan Petrovic:
Human Intention Recognition for Human Aware Planning in Integrated Warehouse Systems. - Alexandre Pitti, Mathias Quoy, Catherine Lavandier, Sofiane Boucenna:
Digital Neural Networks in the Brain: From Mechanisms for Extracting Structure in the World To Self-Structuring the Brain Itself. - Silviu-Marian Udrescu, Max Tegmark:
Symbolic Pregression: Discovering Physical Laws from Raw Distorted Video. - Anjalie Field, Sascha Rothe, Simon Baumgartner, Cong Yu, Abe Ittycheriah:
A Generative Approach to Titling and Clustering Wikipedia Sections. - Prashnna Kumar Gyawali, Sandesh Ghimire, Pradeep Bajracharya, Zhiyuan Li, Linwei Wang:
Semi-supervised Medical Image Classification with Global Latent Mixing. - Wei Xia, Danny Ho, Luiz Fernando Capretz, Faheem Ahmed:
Updating Weight Values for Function Point Counting. - Geonseok Seo, Jaeyoung Yoo, Jaeseok Choi, Nojun Kwak:
KL-Divergence-Based Region Proposal Network for Object Detection. - Md Rubel Ahmed, Hao Zheng, Parijat Mukherjee, Mahesh C. Ketkar, Jin Yang:
Mining Message Flows from System-on-Chip Execution Traces. - Yunchang Zhu, Liang Pang, Yanyan Lan, Xueqi Cheng:
L2R2: Leveraging Ranking for Abductive Reasoning. - Vedant Das Swain, HyeokHyen Kwon, Bahador Saket, Mehrab Bin Morshed, Kathy Tran, Devashru Patel, Yexin Tian, Joshua Philipose, Yulai Cui, Thomas Plötz, Munmun De Choudhury, Gregory D. Abowd:
Leveraging WiFi Network Logs to Infer Social Interactions: A Case Study of Academic Performance and Student Behavior. - Gautam Krishna, Co Tran, Mason Carnahan, Ahmed H. Tewfik:
Predicting Video features from EEG and Vice versa. - Nikolay Banar, Walter Daelemans, Mike Kestemont:
Character-level Transformer-based Neural Machine Translation. - Quentin Paletta, Joan Lasenby:
Convolutional Neural Networks applied to sky images for short-term solar irradiance forecasting. - Martin Balla, Simon M. Lucas, Diego Pérez-Liébana:
Evaluating Generalisation in General Video Game Playing. - Payel Das, Tom Sercu, Kahini Wadhawan, Inkit Padhi, Sebastian Gehrmann, Flaviu S. Cipcigan, Vijil Chenthamarakshan, Hendrik Strobelt, Cícero Nogueira dos Santos, Pin-Yu Chen, Yi Yan Yang, Jeremy Tan, James Hedrick, Jason Crain, Aleksandra Mojsilovic:
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics. - Dorian Florescu, Matthew England:
A machine learning based software pipeline to pick the variable ordering for algorithms with polynomial inputs. - Fangzhou Liu, Shaoxuan Cui, Wenjun Mei, Florian Dörfler, Martin Buss:
Interplay Between Homophily-Based Appraisal Dynamics and Influence-Based Opinion Dynamics: Modeling and Analysis. - Rizkallah Touma, Anna Queralt, Toni Cortes:
CAPre: Code-Analysis based Prefetching for Persistent Object Stores. - Konstantina Bereta, George Papadakis, Manolis Koubarakis:
OBDA for the Web: Creating Virtual RDF Graphs On Top of Web Data Sources. - Poulomi Pal, Lixiao Zhu, Andrea Golden-Lasher, Akshay Swaminathan, Tom Williams:
Givenness Hierarchy Theoretic Cognitive Status Filtering. - Olivier Rukundo, Samuel E. Schmidt, Olaf T. von Ramm:
Software Implementation of Optimized Bicubic Interpolated Scan Conversion in Echocardiography. - Galen Reeves:
Information-Theoretic Limits for the Matrix Tensor Product. - Johannes Linder, Georg Seelig:
Fast differentiable DNA and protein sequence optimization for molecular design. - A. Reymbaut:
Matrix moments of the diffusion tensor distribution. - Ashish Khetan, Zohar S. Karnin:
PruneNet: Channel Pruning via Global Importance. - Roohollah Amiri, Eren Balevi, Jeffrey G. Andrews, Hani Mehrpouyan:
Spatial Indexing for System-Level Evaluation of 5G Heterogeneous Cellular Networks. - Evan Cavallo, Robert Harper:
Internal Parametricity for Cubical Type Theory. - Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Andrew Ilyas, Aleksander Madry:
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks. - Piotr Sapiezynski, Johanna Pruessing, Vedran Sekara:
The Fallibility of Contact-Tracing Apps. - Dobrik Georgiev, Pietro Lió:
Neural Bipartite Matching. - Hubie Chen:
Algebraic Global Gadgetry for Surjective Constraint Satisfaction. - Devshree Patel, Param Raval, Ratnam Parikh, Yesha Shastri:
Comparative Study of Machine Learning Models and BERT on SQuAD. - Nicolas Harrand, César Soto-Valero, Martin Monperrus, Benoit Baudry:
Java Decompiler Diversity and its Application to Meta-decompilation. - S. M. Zobaed, Raju Gottumukkala, Mohsen Amini Salehi:
Privacy-Preserving Clustering of Unstructured Big Data for Cloud-Based Enterprise Search Solutions. - Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Localization & Mitigation of Cascading Failures in Power Systems, Part III: Real-time Mitigation. - Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Localization & Mitigation of Cascading Failures in Power Systems, Part II: Localization. - Arta Seify, Michael Buro:
Single-Agent Optimization Through Policy Iteration Using Monte-Carlo Tree Search. - Christopher Olshefski, Luca Lugini, Ravneet Singh, Diane J. Litman, Amanda Godley:
The Discussion Tracker Corpus of Collaborative Argumentation. - Li Zhang, Han Wang, Lingxiao Li:
SentPWNet: A Unified Sentence Pair Weighting Network for Task-specific Sentence Embedding. - Safa Onur Sahin, Suleyman Serdar Kozat:
A Tree Architecture of LSTM Networks for Sequential Regression with Missing Data. - Aakanksha Naik, Carolyn P. Rosé:
Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation. - Xuan Guo, Robert D. Mullins:
Accelerate Cycle-Level Full-System Simulation of Multi-Core RISC-V Systems with Binary Translation. - Drew Linsley, Alekh Karkada Ashok, Lakshmi Narasimhan Govindarajan, Rex G. Liu, Thomas Serre:
Stable and expressive recurrent vision models. - Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer:
Open-Retrieval Conversational Question Answering. - Fernando Macías, Adrian Rutle, Volker Stolz, Torben Scheffel, Malte Schmitz:
Empowering Multilevel DSMLs with Integrated Runtime Verification. - Amartya Kalapahar, Julio Silva-Rodríguez, Adrián Colomer, Fernando López-Mir, Valery Naranjo:
Gleason Grading of Histology Prostate Images through Semantic Segmentation via Residual U-Net. - Eric M. S. P. Veith, Jawad Kazmi, Stephan Balduin:
Large-Scale Co-Simulation of Power Grid and Communication Network Models with Software in the Loop. - Yingying Zhu, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers:
Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Detection. - Jingxi Li, Deniz Mengu, Nezih T. Yardimci, Yi Luo, Xurong Li, Muhammed Veli, Yair Rivenson, Mona Jarrahi, Aydogan Ozcan:
Machine Vision using Diffractive Spectral Encoding. - Sandeep Singh Sandha, Mohit Aggarwal, Igor Fedorov, Mani B. Srivastava:
MANGO: A Python Library for Parallel Hyperparameter Tuning. - Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela:
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. - Nat Roth, Justin Wagle:
One of these (Few) Things is Not Like the Others. - Yuhang Song, Wenbo Li, Lei Zhang, Jianwei Yang, Emre Kiciman, Hamid Palangi, Jianfeng Gao, C.-C. Jay Kuo, Pengchuan Zhang:
Novel Human-Object Interaction Detection via Adversarial Domain Generalization. - Nhat Ho, Koulik Khamaru, Raaz Dwivedi, Martin J. Wainwright, Michael I. Jordan, Bin Yu:
Instability, Computational Efficiency and Statistical Accuracy. - Beyza Dabak, Ahmed H. Hareedy, A. Robert Calderbank:
Non-Binary Constrained Codes for Two-Dimensional Magnetic Recording. - Larissa Romualdo-Suzuki, Anthony Finkelstein:
Data as Infrastructure for Smart Cities: Linking Data Platforms to Business Strategies. - Hugh Lawson-Tancred, Henry C. W. Price, Alessandro Provetti:
COVID-19 Contact Tracing: Eight Privacy Questions Explored. - Rishabh Malhotra, Dhron Joshi, Ku Young Shin:
Approaching Bio Cellular Classification for Malaria Infected Cells Using Machine Learning and then Deep Learning to compare & analyze K-Nearest Neighbours and Deep CNNs. - Xinwei Zhang, Mingyi Hong, Sairaj V. Dhople, Wotao Yin, Yang Liu:
FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data. - Mengdi Wang, Hung Chau, Khushboo Thaker, Peter Brusilovsky, Daqing He:
Concept Annotation for Intelligent Textbooks. - Xiangjue Dong, Changmao Li, Jinho D. Choi:
Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social Media. - Shenshen Chen, Geng Li, Kerim Gokarslan, Bin Li, Qiao Xiang, Haitao Yu, Franck Le, Yang Richard Yang, Ying Zhang:
Carbide: Highly Reliable Networks Through Real-Time Multiple Control Plane Composition. - Jianfeng Wang, Xi Yin, Lijuan Wang, Lei Zhang:
Hashing-based Non-Maximum Suppression for Crowded Object Detection. - Scott Eisele, Taha Eghtesad, Nicholas Troutman, Aron Laszka, Abhishek Dubey:
Mechanisms for Outsourcing Computation via a Decentralized Market. - Victor Klemm, Alessandro Morra, Lionel Gulich, Dominik Mannhart, David Rohr, Mina Kamel, Yvain de Viragh, Roland Siegwart:
LQR-Assisted Whole-Body Control of a Wheeled Bipedal Robot with Kinematic Loops. - Victor Klemm, Alessandro Morra, Ciro Salzmann, Florian Tschopp, Karen Bodie, Lionel Gulich, Nicola Küng, Dominik Mannhart, Corentin Pfister, Marcus Vierneisel, Florian Weber, Robin Deuber, Roland Siegwart:
Ascento: A Two-Wheeled Jumping Robot. - Yizhe Zhu, Martin Renqiang Min, Asim Kadav, Hans Peter Graf:
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation. - Xu Zhang, Marcos M. Vasconcelos, Wei Cui, Urbashi Mitra:
Distributed remote estimation over the collision channel with and without local communication. - Y. H. Gong, X. Jiang, B. X. Shang:
Computing monomial interpolating basis for multivariate polynomial interpolation. - Abbas Kazerouni, Qi Zhao, Jing Xie, Sandeep Tata, Marc Najork:
Active Learning for Skewed Data Sets. - Colin S. Gordon:
Designing with Static Capabilities and Effects: Use, Mention, and Invariants. - Zonghe Chua, Allison M. Okamura, Darrel R. Deo:
Evaluation of Non-Collocated Force Feedback Driven by Signal-Independent Noise. - Bijan Haney, Alexander Lavin:
Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors. - Yixian Zhang, Jieren Chen, Boyi Liu, Yifan Yang, Haocheng Li, Xinyi Zheng, Xi Chen, Tenglong Ren, Naixue Xiong:
COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining. - Yuzhuo Liu, Hangting Chen, Pengyuan Zhang:
Power Pooling Operators and Confidence Learning for Semi-Supervised Sound Event Detection. - Qiang Du, Lili Ju, Xiao Li, Zhonghua Qiao:
Maximum bound principles for a class of semilinear parabolic equations and exponential time differencing schemes. - Tingting Liang, Congying Xia, Yuyu Yin, Philip S. Yu:
Joint Training Capsule Network for Cold Start Recommendation. - Donghao Xu, Zhezhang Ding, Xu He, Huijing Zhao, Mathieu Moze, François Aioun, Franck Guillemard:
Learning from Naturalistic Driving Data for Human-like Autonomous Highway Driving. - Zheng Ge, Zequn Jie, Xin Huang, Chengzheng Li, Osamu Yoshie:
Delving into the Imbalance of Positive Proposals in Two-stage Object Detection. - Emad Aghayi, Aaron Massey, Thomas D. LaToza:
Find Unique Usages: Helping Developers Understand Common Usages. - Junxu Cao, Qi Chen, Jun Guo, Ruichao Shi:
Attention-guided Context Feature Pyramid Network for Object Detection. - Jun Han:
p-order Tensor Products with Invertible Linear Transforms. - Yuexin Zhang, Jiahong Wang, Shuzhi Sam Ge, Lihui Wang:
Short-term Load Forecasting Based on Hybrid Strategy Using Warm-start Gradient Tree Boosting. - Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang:
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations. - Yudi Chen, Wei Wang, Yu Zhou, Fei Yang, Dongbao Yang, Weiping Wang:
Self-Training for Domain Adaptive Scene Text Detection. - Maryam Sadat Mirzaei, Kourosh Meshgi, Etienne Frigo, Toyoaki Nishida:
AnimGAN: A Spatiotemporally-Conditioned Generative Adversarial Network for Character Animation. - Shuo Zhang, Zhuyun Dai, Krisztian Balog, Jamie Callan:
Summarizing and Exploring Tabular Data in Conversational Search. - Huazeng Deng, Ling-Hong Hung, Raymond Schooley, David Perez, Niharika Arumilli, Ka Yee Yeung, Wes Lloyd:
Profiling Resource Utilization of Bioinformatics Workflows. - Kanghong Shi, Igor G. Vladimirov, Ian R. Petersen:
Robust Output Feedback Consensus for Networked Identical Nonlinear Negative-Imaginary Systems. - Laura Seiffe, Oliver Marten, Michael Mikhailov, Sven Schmeier, Sebastian Möller, Roland Roller:
From Witch's Shot to Music Making Bones - Resources for Medical Laymen to Technical Language and Vice Versa. - Vaggelis Atlidakis, Roxana Geambasu, Patrice Godefroid, Marina Polishchuk, Baishakhi Ray:
Pythia: Grammar-Based Fuzzing of REST APIs with Coverage-guided Feedback and Learning-based Mutations. - Qiong Liu, Dongyu Li, Shuzhi Sam Ge, Zhong Ouyang, Wei He:
Enhanced PID: Adaptive Feedforward RBF Neural Network Control of Robot manipulators with an Optimal Distribution of Hidden Nodes. - Cornelius Ihle, Moritz Schubotz, Norman Meuschke, Bela Gipp:
A First Step Towards Content Protecting Plagiarism Detection. - Sonali Agarwal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, P. Nagabhushan, K. K. Soundra Pandian, Praveer Saxena:
Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review. - Xincao Xu, Kai Liu, Ke Xiao, Liang Feng, Zhou Wu, Songtao Guo:
Vehicular Fog Computing Enabled Real-time Collision Warning via Trajectory Calibration. - Mike Thelwall, Ruth Fairclough:
All downhill from the PhD? The typical impact trajectory of US academic careers. - Ivan Puddu, Moritz Schneider, Miro Haller, Srdjan Capkun:
Frontal Attack: Leaking Control-Flow in SGX via the CPU Frontend. - Domenico Cotroneo, Antonio Ken Iannillo, Roberto Natella, Roberto Pietrantuono:
A Comprehensive Study on Software Aging across Android Versions and Vendors. - Daoyuan Wu, Debin Gao, Robert H. Deng, Rocky K. C. Chang:
When Program Analysis Meets Bytecode Search: Targeted and Efficient Inter-procedural Analysis of Modern Android Apps in BackDroid. - Alireza Aghamohammadi, Seyed-Hassan Mirian-Hosseinabadi:
The Threat to the Validity of Predictive Mutation Testing: The Impact of Uncovered Mutants. - Artyom Kosmarski, Nikolay Gordiychuk:
Token-curated registry (TCR) in a scholarly journal: blockchain meets invisible colleges. - Marvin Künnemann, Dániel Marx:
Finding Small Satisfying Assignments Faster Than Brute Force: A Fine-grained Perspective into Boolean Constraint Satisfaction. - Ran Ben Basat, Xiaoqi Chen, Gil Einziger, Shir Landau Feibish, Danny Raz, Minlan Yu:
Routing Oblivious Measurement Analytics. - V. S. R. Veeravasarapu, Abhishek Goel, Deepak Mittal, Maneesh Kumar Singh:
ProAlignNet : Unsupervised Learning for Progressively Aligning Noisy Contours. - Tobias Christiani:
DartMinHash: Fast Sketching for Weighted Sets. - Mahdieh Abbasi, Denis Laurendeau, Christian Gagné:
Self-supervised Robust Object Detectors from Partially Labelled datasets. - Nick Bezhanishvili, Marcello M. Bonsangue, Helle Hvid Hansen, Dexter Kozen, Clemens Kupke, Prakash Panangaden, Alexandra Silva:
Minimisation in Logical Form. - Long Chen, Zhihua Liu, Lei Tong, Zheheng Jiang, Shengke Wang, Junyu Dong, Huiyu Zhou:
Underwater object detection using Invert Multi-Class Adaboost with deep learning. - Frank Hessel, Lars Almon, Flor Álvarez:
ChirpOTLE: A Framework for Practical LoRaWAN Security Evaluation. - Thomas K. Dasaklis, Fran Casino, Constantinos Patsakis:
A traceability and auditing framework for electronic equipment reverse logistics based on blockchain: the case of mobile phones. - Vasileios Petridis:
Invariant 3D Shape Recognition using Predictive Modular Neural Networks. - Haoteng Tang, Guixiang Ma, Yurong Chen, Lei Guo, Wei Wang, Bo Zeng, Liang Zhan:
Adversarial Attack on Hierarchical Graph Pooling Neural Networks. - Kai-Kit Wong, Arman Shojaeifard, Kin-Fai Tong, Yangyang Zhang:
Fluid Antenna Systems. - Jie Yang, Jiarou Fan, Yiru Wang, Yige Wang, Weihao Gan, Lin Liu, Wei Wu:
Hierarchical Feature Embedding for Attribute Recognition. - Nikesh Bajaj, Jesús Requena-Carrión, Francesco Bellotti:
PhyAAt: Physiology of Auditory Attention to Speech Dataset. - (Withdrawn) Evolution of Cooperative Hunting in Artificial Multi-layered Societies.
- Pooja Rani, Sebastiano Panichella, Manuel Leuenberger, Mohammad Ghafari, Oscar Nierstrasz:
What do class comments tell us? An investigation of comment evolution and practices in Pharo. - Yuval Filmus, Meena Mahajan, Gaurav Sood, Marc Vinyals:
MaxSAT Resolution and Subcube Sums. - Sijie Zhu, Taojiannan Yang, Chen Chen:
Revisiting Street-to-Aerial View Image Geo-localization and Orientation Estimation. - Andrea Tirinzoni, Alessandro Lazaric, Marcello Restelli:
A Novel Confidence-Based Algorithm for Structured Bandits. - Guruprasad Raghavan, Jiayi Li, Matt Thomson:
Geometric algorithms for predicting resilience and recovering damage in neural networks. - Sheriffo Ceesay, Adam Barker, Yuhui Lin:
Benchmarking and Performance Modelling of MapReduce Communication Pattern. - Antonio D'Innocente, Francesco Cappio Borlino, Silvia Bucci, Barbara Caputo, Tatiana Tommasi:
One-Shot Unsupervised Cross-Domain Detection. - Asem Ghaleb, Karthik Pattabiraman:
How Effective are Smart Contract Analysis Tools? Evaluating Smart Contract Static Analysis Tools Using Bug Injection. - Jingwei Huang, Chiyu Max Jiang, Baiqiang Leng, Bin Wang, Leonidas J. Guibas:
MeshODE: A Robust and Scalable Framework for Mesh Deformation. - Himanshu Sharma, Elise Jennings:
Bayesian Neural Networks at Scale: A Performance Analysis and Pruning Study. - Jingwei Huang, Yichao Zhou, Leonidas J. Guibas:
ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups. - N. Joseph Tatro, Stefan C. Schonsheck, Rongjie Lai:
Unsupervised Geometric Disentanglement for Surfaces via CFAN-VAE. - Zhihao Duan, Mustafa Ozan Tezcan, Hayato Nakamura, Prakash Ishwar, Janusz Konrad:
RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images. - Kibok Lee, Zhuoyuan Chen, Xinchen Yan, Raquel Urtasun, Ersin Yumer:
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds. - Zhiyong Cui, Ruimin Ke, Ziyuan Pu, Yinhai Wang:
Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values. - Bojian Yin, Federico Corradi, Sander M. Bohté:
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks. - Ang Li, Wei Du, Qinghua Li:
PoliteCamera: Respecting Strangers' Privacy in Mobile Photographing. - Jinchao Huang, Guofu Li, Zhicong Yan, Fucai Luo, Shenghong Li:
Joint learning of interpretation and distillation. - Chen Liu, Su Zhu, Zijian Zhao, Ruisheng Cao, Lu Chen, Kai Yu:
Jointly Encoding Word Confusion Network and Dialogue Context with BERT for Spoken Language Understanding. - Angtian Wang, Yihong Sun, Adam Kortylewski, Alan L. Yuille:
Robust Object Detection under Occlusion with Context-Aware CompositionalNets. - Brandon T. Willard:
miniKanren as a Tool for Symbolic Computation in Python. - Zhiguo Wang, Zhongliang Yang, Yu-Jin Zhang:
Master-Auxiliary: an efficient aggregation strategy for video anomaly detection. - Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang:
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. - Antonious M. Girgis, Deepesh Data, Kamalika Chaudhuri, Christina Fragouli, Suhas N. Diggavi:
Successive Refinement of Privacy. - Changsheng You, Beixiong Zheng, Rui Zhang:
Fast Beam Training for IRS-Assisted Multiuser Communications. - Fan Zhou, Changjian Shui, Bincheng Huang, Boyu Wang, Brahim Chaib-draa:
Discriminative Active Learning for Domain Adaptation. - Divesh Aggarwal, Eldon Chung:
A Note on the Concrete Hardness of the Shortest Independent Vectors Problem in Lattices. - Luis T. Aguilar, Yury Orlov, Alessandro Pisano:
Leader-follower synchronization and ISS analysis for a network of boundary-controlled wave PDEs. - Xiuyu Wu, Nan Jiang, Yunfang Wu:
A Question Type Driven and Copy Loss Enhanced Frameworkfor Answer-Agnostic Neural Question Generation. - Cristina Palmero, Oleg V. Komogortsev, Sachin S. Talathi:
Benefits of temporal information for appearance-based gaze estimation. - Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu:
SoK: Arms Race in Adversarial Malware Detection. - Andros Tjandra, Sakriani Sakti, Satoshi Nakamura:
Transformer VQ-VAE for Unsupervised Unit Discovery and Speech Synthesis: ZeroSpeech 2020 Challenge. - Chi-Chun Zhou, Hai-Long Tu, Yi Liu, Fu-Lin Zhang:
Networks with pixels embedding: a method to improve noise resistance in images classification. - Nikola Milosevic, Gangamma Kalappa, Hesam Dadafarin, Mahmoud Azimaee, Goran Nenadic:
MASK: A flexible framework to facilitate de-identification of clinical texts. - Yang Yang, Robert H. Deng, Ximeng Liu, Yongdong Wu, Jian Weng, Xianghan Zheng, Chunming Rong:
Privacy-preserving Medical Treatment System through Nondeterministic Finite Automata. - (Withdrawn) Output Containment Control of Discrete-time Multi-agent Systems with Application to Multiple Ground Vehicles.
- Ye Ma, Lu Zong:
Integrated Node Encoder for Labelled Textual Networks. - Andrei Ivanov, Uwe Iben, Anna Golovkina:
Physics-based polynomial neural networks for one-shot learning of dynamical systems from one or a few samples. - Zequn Liu, Ruiyi Zhang, Yiping Song, Ming Zhang:
When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications. - Ye Ma, Lu Zong, Peiwan Wang:
A Novel Distributed Representation of News (DRNews) for Stock Market Predictions. - Robert Griesemer, Raymond Hu, Wen Kokke, Julien Lange, Ian Lance Taylor, Bernardo Toninho, Philip Wadler, Nobuko Yoshida:
Featherweight Go. - Andrei Cramariuc, Aleksandar Petrov, Rohit Suri, Mayank Mittal, Roland Siegwart, Cesar Cadena:
Learning Camera Miscalibration Detection. - Yaxin Shi, Yuangang Pan, Donna Xu, Ivor W. Tsang:
Multi-view Alignment and Generation in CCA via Consistent Latent Encoding. - Daniel Gabric, Narad Rampersad, Jeffrey O. Shallit:
An inequality for the number of periods in a word. - Thibaut Le Gouic, Jean-Michel Loubes:
The price for fairness in a regression framework. - Nikos Voskarides, Dan Li, Pengjie Ren, Evangelos Kanoulas, Maarten de Rijke:
Query Resolution for Conversational Search with Limited Supervision. - Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang:
Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. - Muyang Liu, Ke Li, Tao Chen:
DeepSQLi: Deep Semantic Learning for Testing SQL Injection. - Jianfeng Liu, Feiyang Pan, Ling Luo:
GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning. - Julian Skirzynski, Frederic Becker, Falk Lieder:
Automatic Discovery of Interpretable Planning Strategies. - Weijun Fang, Jun Zhang, Shu-Tao Xia, Fang-Wei Fu:
A Note on Self-Dual Generalized Reed-Solomon Codes. - Huangxin Chen, Amiya Kumar Pani, Weifeng Qiu:
A mixed finite element scheme for biharmonic equation with variable coefficient and von Kármán equations. - Marcin Plata, Piotr Syga:
Robust Spatial-spread Deep Neural Image Watermarking. - Raghavendra Addanki, Shiva Prasad Kasiviswanathan, Andrew McGregor, Cameron Musco:
Efficient Intervention Design for Causal Discovery with Latents. - Kun Xie, Sylvain Hallé:
Efficient Offline Monitoring of Linear Temporal Logic with Bit Vectors. - Mario Barrantes, Benedikt Herudek, Richard Wang:
Adversarial NLI for Factual Correctness in Text Summarisation Models. - Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu:
High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling. - Kim Peter Wabersich, Melanie N. Zeilinger:
Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling. - Jitender Singh Virk, Deepti R. Bathula:
Domain Specific, Semi-Supervised Transfer Learning for Medical Imaging. - Tianhao Wang, Joann Qiongna Chen, Zhikun Zhang, Dong Su, Yueqiang Cheng, Zhou Li, Ninghui Li, Somesh Jha:
Continuous Release of Data Streams under both Centralized and Local Differential Privacy. - Saint-Cyr E. R. Koyaguerebo-Imé, Yves Bourgault:
Finite difference and numerical differentiation: General formulae from deferred corrections. - GeunHyeong Lee, Soo-Yong Shin:
Reliability and Performance Assessment of Federated Learning on Clinical Benchmark Data. - Zhensu Sun, Yan Liu, Ziming Cheng, Chen Yang, Pengyu Che:
Req2Lib: A Semantic Neural Model for Software Library Recommendation. - Eric Goles, Pedro Montealegre, Martín Ríos-Wilson, Guillaume Theyssier:
On the impact of treewidth in the computational complexity of freezing dynamics. - Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar:
An Approximate Marginal Spread Computation Approach for the Budgeted Influence Maximization with Delay. - Jiajing Wan, Xinting Huang:
KaLM at SemEval-2020 Task 4: Knowledge-aware Language Models for Comprehension And Generation. - Bartosz Zielinski, Agnieszka Sroka-Oleksiak, Dawid Rymarczyk, Adam Piekarczyk, Monika Brzychczy-Wloch:
Deep learning approach to describe and classify fungi microscopic images. - Jacob Swambo, Spencer Hommel, Bob McElrath, Bryan Bishop:
Custody Protocols Using Bitcoin Vaults. - Hongxin Wei, Wei Feng, Yunfei Chen, Cheng-Xiang Wang, Ning Ge:
Rethinking Blockchains in the Internet of Things Era from a Wireless Communication Perspective. - Zhongxu Hu, Yang Xing, Chen Lv, Peng Hang, Jie Liu:
Deep Convolutional Neural Network-based Bernoulli Heatmap for Head Pose Estimation. - Anne Lauscher, Olga Majewska, Leonardo F. R. Ribeiro, Iryna Gurevych, Nikolai Rozanov, Goran Glavas:
Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers. - Hadi Mardani Kamali, Kimia Zamiri Azar, Houman Homayoun, Avesta Sasan:
SCRAMBLE: The State, Connectivity and Routing Augmentation Model for Building Logic Encryption. - Sourav Das, Nitin Awathare, Ling Ren, Vinay Joseph Ribeiro, Umesh Bellur:
Better Late than Never; Scaling Computation in Blockchains by Delaying Execution. - Geir Ole Tysse, Andrej Cibicik, Olav Egeland:
Vision-based control of a knuckle boom crane with online cable length estimation. - Argyrios Deligkas, Themistoklis Melissourgos, Paul G. Spirakis:
Walrasian Equilibria in Markets with Small Demands. - Pranav Poduval, Hrushikesh Loya, Amit Sethi:
Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis. - Priyadarshini Kumari, Subhasis Chaudhuri:
Haptic Rendering of Thin, Deformable Objects with Spatially Varying Stiffness. - Ulrich Viereck, Kate Saenko, Robert Platt Jr.:
Learning visual servo policies via planner cloning. - Tuan-Duy H. Nguyen, Huu-Nghia H. Nguyen, Hieu Dao:
Recognizing Families through Images with Pretrained Encoder. - Pasquale Antonante, David I. Spivak, Luca Carlone:
Monitoring and Diagnosability of Perception Systems. - Penghang Liu, Valerio Guarrasi, Ahmet Erdem Sariyüce:
Temporal Network Motifs: Models, Limitations, Evaluation. - Olivier Bousquet, Steve Hanneke, Shay Moran, Nikita Zhivotovskiy:
Proper Learning, Helly Number, and an Optimal SVM Bound. - Péter Bereczky, Dániel Horpácsi, Simon J. Thompson:
A Proof Assistant Based Formalisation of Core Erlang. - Dejan Nickovic, Tomoya Yamaguchi:
RTAMT: Online Robustness Monitors from STL. - Chris Hicks, David Butler, Carsten Maple, Jon Crowcroft:
SecureABC: Secure AntiBody Certificates for COVID-19. - Aviad Elyashar, Rami Puzis, Michael Fire:
How Does That Sound? Multi-Language SpokenName2Vec Algorithm Using Speech Generation and Deep Learning. - João Santos Reis, Paul Andrew Crocker, Simão Melo de Sousa:
Tezla, an Intermediate Representation for Static Analysis of Michelson Smart Contracts. - David Doty, Benjamin L. Lee, Tristan Stérin:
scadnano: A browser-based, easily scriptable tool for designing DNA nanostructures. - Zhilu Wang, Hengyi Liang, Chao Huang, Qi Zhu:
Cross-Layer Design of Automotive Systems. - Daniel Maniglia Amancio da Silva, Godwin Asamooning, Hector Orrillo, Rute C. Sofia, Paulo Mendes:
An Analysis of Fog Computing Data Placement Algorithms. - Satoru Katsumata, Mamoru Komachi:
Stronger Baselines for Grammatical Error Correction Using Pretrained Encoder-Decoder Model. - Ahmed A. Hamada, Mahmoud Ayyad, Amr Guaily:
Variants of the Finite Element Method for the Parabolic Heat Equation: Comparative Numerical Study. - Maha Elbayad, Ha Nguyen, Fethi Bougares, Natalia A. Tomashenko, Antoine Caubrière, Benjamin Lecouteux, Yannick Estève, Laurent Besacier:
ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020. - Dong Wang:
An efficient iterative method for reconstructing surface from point clouds. - Mert Gürbüzbalaban, Yuanhan Hu:
Fractional moment-preserving initialization schemes for training fully-connected neural networks. - Saif M. Mohammad:
Sentiment Analysis: Detecting Valence, Emotions, and Other Affectual States from Text. - C. Estelle Smith, Zachary Levonian, Haiwei Ma, Robert A. Giaquinto, Gemma Lein-Mcdonough, Zixuan Li, Susan O'Conner-Von, Svetlana Yarosh:
"I Cannot Do All of This Alone": Exploring Instrumental and Prayer Support in Online Health Communities. - Nader Ammari, Joan Calvet, José M. Fernandez:
The never ending war in the stack and the reincarnation of ROP attacks. - Dongjun Wei, Yaxin Liu, Fuqing Zhu, Liangjun Zang, Wei Zhou, Yijun Lu, Songlin Hu:
AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization. - Zhengrui Li, Sian-Jheng Lin, Po-Ning Chen, Yunghsiang S. Han, Hanxu Hou:
Update Bandwidth for Distributed Storage. - Maxime Bouton, Alireza Nakhaei, David Isele, Kikuo Fujimura, Mykel J. Kochenderfer:
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic. - Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Yechao Yang, Feng Yang, Rick Siow Mong Goh, Mervyn Cheah, Praewpiraya Wiwatphonthana, Khajonpong Akkarajitsakul, Shangguang Wang:
Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning. - Jun Zhou, Chaochao Chen, Longfei Zheng, Xiaolin Zheng, Bingzhe Wu, Ziqi Liu, Li Wang:
Privacy-Preserving Graph Neural Network for Node Classification. - Shangxi Wu, Jitao Sang, Kaiyuan Xu, Guanhua Zheng, Changsheng Xu:
Adaptive Adversarial Logits Pairing. - Pengfei Wang, Xu Zhou:
SoK: The Progress, Challenges, and Perspectives of Directed Greybox Fuzzing. - Jian Jia, Houjing Huang, Wenjie Yang, Xiaotang Chen, Kaiqi Huang:
Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method. - Quan Chen, Peter Snyder, Ben Livshits, Alexandros Kapravelos:
Improving Web Content Blocking With Event-Loop-Turn Granularity JavaScript Signatures. - Robert D. Carr, Jennifer Iglesias, Giuseppe Lancia, Benjamin Moseley:
Symmetric Linear Programming Formulations for Minimum Cut with Applications to TSP. - Hok Shing Wong, Li Wang, Raymond H. Chan, Tieyong Zeng:
Deep Tensor CCA for Multi-view Learning. - Huanhuan Fan, Yuhao Zhou, Ang Li, Shuang Gao, Jijunnan Li, Yandong Guo:
Visual Localization Using Semantic Segmentation and Depth Prediction. - Srujan Teja Thomdapu, Palash Katiyar, Ketan Rajawat:
Dynamic Cache Management In Content Delivery Networks. - Benjamin Lucas, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb, François Petitjean:
A Bayesian-inspired, deep learning, semi-supervised domain adaptation technique for land cover mapping. - Tuan-Duy H. Nguyen, Huu-Nghia H. Nguyen:
Towards a Robust WiFi-based Fall Detection with Adversarial Data Augmentation. - Ali Vardasbi, Maarten de Rijke, Ilya Markov:
Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank. - Mingjie Wang, Hao Cai, Jun Zhou, Minglun Gong:
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting. - Bing Cao, Nannan Wang, Xinbo Gao, Jie Li, Zhifeng Li:
Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition. - Yunfei Yang, Yang Wang:
Approximation in shift-invariant spaces with deep ReLU neural networks. - Tianshi Li, Jackie Yang, Cori Faklaris, Jennifer King, Yuvraj Agarwal, Laura Dabbish, Jason I. Hong:
Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps. - Mieczyslaw A. Klopotek:
Non-Destructive Sample Generation From Conditional Belief Functions. - Parvathy Panicker:
Embedding Culture and Grit in the Technology Acceptance Model (TAM) for Higher Education. - Mieczyslaw A. Klopotek, Andrzej Matuszewski:
On Irrelevance of Attributes in Flexible Prediction. - Marilena Daquino, Silvio Peroni, David M. Shotton, Giovanni Colavizza, Behnam Ghavimi, Anne Lauscher, Philipp Mayr, Matteo Romanello, Philipp Zumstein:
The OpenCitations Data Model. - Pirmin Lemberger:
Deep Learning Models for Automatic Summarization. - Dongjun Wei, Shiyuan Gao, Yaxin Liu, Zhibing Liu, Longtao Hang:
MPSUM: Entity Summarization with Predicate-based Matching. - Vinay Krishna Sharma, L. R. D. Murthy, Kamalpreet Singh Saluja, Vimal Mollyn, Gourav Sharma, Pradipta Biswas:
Eye Gaze Controlled Robotic Arm for Persons with SSMI. - Hannah Chen, Yangfeng Ji, David Evans:
Pointwise Paraphrase Appraisal is Potentially Problematic. - Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou:
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. - L. Beirão da Veiga, Giuseppe Vacca:
Sharper error estimates for Virtual Elements and a bubble-enriched version. - Abigail Kwan:
Malware Detection at the Microarchitecture Level using Machine Learning Techniques. - Herbert Egger, Mané Harutyunyan, Melina Merkel, Sebastian Schöps:
On the stability of harmonic mortar methods with application to electric machines. - Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang:
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. - Yizhou Luo, Kwan-Wu Chin:
Learning to Charge RF-Energy Harvesting Devices in WiFi Networks. - Georgios Sidiropoulos, Nikos Voskarides, Evangelos Kanoulas:
Knowledge Graph Simple Question Answering for Unseen Domains. - Huikai Shao, Dexing Zhong:
A Joint Pixel and Feature Alignment Framework for Cross-dataset Palmprint Recognition. - Amee Trivedi, Camellia Zakaria, Rajesh Balan, Prashant J. Shenoy:
WiFiTrace: Network-based Contact Tracing for Infectious Diseases Using Passive WiFi Sensing. - Camellia Zakaria, Amee Trivedi, Michael Chee, Prashant J. Shenoy, Rajesh Balan:
Analyzing the Impact of Covid-19 Control Policies on Campus Occupancy and Mobility via Passive WiFi Sensing. - Simone Göttlich, Michael Herty, Salissou Moutari, Jennifer Weißen:
Second-order traffic flow models on networks. - Kaiwen Zhou, Anthony Man-Cho So, James Cheng:
Boosting First-order Methods by Shifting Objective: New Schemes with Faster Worst Case Rates. - Armin Lederer, Alexandre Capone, Jonas Umlauft, Sandra Hirche:
How Training Data Impacts Performance in Learning-based Control. - Felix Wiebe, Shivesh Kumar, Daniel Harnack, Malte Langosz, Hendrik Wöhrle, Frank Kirchner:
Combinatorics of a Discrete Trajectory Space for Robot Motion Planning. - Thomas Dybdahl Ahle:
On the Problem of p1-1 in Locality-Sensitive Hashing. - Andreas Sedlmeier, Robert Müller, Steffen Illium, Claudia Linnhoff-Popien:
Policy Entropy for Out-of-Distribution Classification. - Zheyu Zhuang, Xin Yu, Robert E. Mahony:
LyRN (Lyapunov Reaching Network): A Real-Time Closed Loop approach from Monocular Vision. - Matei Mancas, Phutphalla Kong, Bernard Gosselin:
Visual Attention: Deep Rare Features. - Andrija Gajic, Ester Gonzalez-Sosa, Diego González Morín, Marcos Escudero-Viñolo, Álvaro Villegas:
Egocentric Human Segmentation for Mixed Reality. - Sandeep Mathias, V. Rudra Murthy, Diptesh Kanojia, Abhijit Mishra, Pushpak Bhattacharyya:
Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze Behaviour. - Joosung Lee:
Stable Style Transformer: Delete and Generate Approach with Encoder-Decoder for Text Style Transfer. - Horia-Nicolai Teodorescu:
Experimental, ad hoc, online, inter-university student e-contest during the pandemic: Lessons learned. - Philipp Samfass, Tobias Weinzierl, Benjamin Hazelwood, Michael Bader:
TeaMPI - Replication-based Resilience without the (Performance) Pain. - Daniel Hershcovich, Miryam de Lhoneux, Artur Kulmizev, Elham Pejhan, Joakim Nivre:
Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding. - Moritz Schubotz, Philipp Scharpf, Olaf Teschke, Andreas Kühnemund, Corinna Breitinger, Bela Gipp:
AutoMSC: Automatic Assignment of Mathematics Subject Classification Labels. - Tomasz Winiarski, Wojciech Dudek, Maciej Stefanczyk, Lukasz Zielinski, Daniel Gieldowski, Dawid Seredynski:
An intent-based approach for creating assistive robots' control systems. - Mohammed Sharafath Abdul Hameed, Gavneet Singh Chadha, Andreas Schwung, Steven X. Ding:
Gradient Monitored Reinforcement Learning. - Yue Liu, Qinghua Lu, Hye-Young Paik, Xiwei Xu:
Design Patterns for Blockchain-based Self-Sovereign Identity. - Sawan Kumar, Partha P. Talukdar:
NILE : Natural Language Inference with Faithful Natural Language Explanations. - Seung Wook Kim, Yuhao Zhou, Jonah Philion, Antonio Torralba, Sanja Fidler:
Learning to Simulate Dynamic Environments with GameGAN. - Weixin Zeng, Xiang Zhao, Wei Wang, Jiuyang Tang, Zhen Tan:
Degree-Aware Alignment for Entities in Tail. - Xiaoyu Mo, Yang Xing, Chen Lv:
Interaction-Aware Trajectory Prediction of Connected Vehicles using CNN-LSTM Networks. - Christoph Rösmann, Artemi Makarow, Torsten Bertram:
Time-optimal control with direct collocation and variable discretization. - Yipeng Hu, Joseph Jacob, Geoffrey J. M. Parker, David J. Hawkes, John R. Hurst, Danail Stoyanov:
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic. - Paul Ryan, Martin Crane, Rob Brennan:
Design Challenges for GDPR RegTech. - Aman Kr. Singh, Ashish Prajapatia, Vikash Kr. Kumar, Subhankar Mishra:
Usage Analysis of Mobile Devices. - Chia-Chih Kuo, Shang-Bao Luo, Kuan-Yu Chen:
An Audio-enriched BERT-based Framework for Spoken Multiple-choice Question Answering. - Danni Liu, Jan Niehues, Gerasimos Spanakis:
Adapting End-to-End Speech Recognition for Readable Subtitles. - Mayank Kumar Singh, Sayan Banerjee, Subhasis Chaudhuri:
NENET: An Edge Learnable Network for Link Prediction in Scene Text. - Panagiotis Kanellopoulos, Maria Kyropoulou, Alexandros A. Voudouris:
Modified Schelling Games. - Petar Radanliev, David De Roure, Kevin R. Page, Max Van Kleek, Rafael Mantilla Montalvo, Omar Santos, La Treall Maddox, Stacy Cannady, Pete Burnap, Eirini Anthi, Carsten Maple:
Design of a dynamic and self-adapting system, supported with artificial intelligence, machine learning and real-time intelligence for predictive cyber risk analytics. - Kari Seppänen, Pekka J. Wainio:
Topology Management, Multi-Path Routing, and Link Scheduling for mmW WMN Backhaul. - Fei Zhang, Patrick P. K. Chan, Battista Biggio, Daniel S. Yeung, Fabio Roli:
Adversarial Feature Selection against Evasion Attacks. - Xiaoli Liu, Jianqin Yin, Jun Liu:
AGVNet: Attention Guided Velocity Learning for 3D Human Motion Prediction. - Christof Ferreira Torres, Antonio Ken Iannillo, Arthur Gervais, Radu State:
Towards Smart Hybrid Fuzzing for Smart Contracts. - Sara Grundel, Michael Herty:
Hyperbolic Discretization via Riemann Invariants. - Wei Fang, Mike B. Giles:
Importance Sampling for Pathwise Sensitivity of Stochastic Chaotic Systems. - Weiguo Gao, Yingzhou Li, Bichen Lu:
Triangularized Orthogonalization-free Method for Solving Extreme Eigenvalue Problems. - Peter Coppens, Panagiotis Patrinos:
Sample Complexity of Data-Driven Stochastic LQR with Multiplicative Uncertainty. - Parand Alizadeh Alamdari, Guy Avni, Thomas A. Henzinger, Anna Lukina:
Formal Methods with a Touch of Magic. - Alan Mazankiewicz, Klemens Böhm, Mario Bergés:
Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization. - Filippo Masi, Ioannis Stefanou, Paolo Vannucci, Victor Maffi-Berthier:
Thermodynamics-based Artificial Neural Networks for constitutive modeling. - Philipp Behrendt:
Learnability of Timescale Graphical Event Models. - Juri Opitz:
AMR quality rating with a lightweight CNN. - Mona Minakshi, Pratool Bharti, Willie B. McClinton III, Jamshidbek Mirzakhalov, Ryan M. Carney, Sriram Chellappan:
Automating the Surveillance of Mosquito Vectors from Trapped Specimens Using Computer Vision Techniques. - Hang Li, Chen Ma, Wei Xu, Xue Liu:
Feature Statistics Guided Efficient Filter Pruning. - Mohammad K. Ebrahimpour, Timothy M. Shea, Andreea Danielescu, David C. Noelle, Christopher T. Kello:
End-to-End Auditory Object Recognition via Inception Nucleus. - Rasha Alahmad, Lionel Robert:
Artificial Intelligence (AI) and IT identity: Antecedents Identifying with AI Applications. - Jianxiong Wei, Anxiang Zeng, Yueqiu Wu, Peng Guo, Qingsong Hua, Qingpeng Cai:
Generator and Critic: A Deep Reinforcement Learning Approach for Slate Re-ranking in E-commerce. - Noveen Sachdeva, Julian J. McAuley:
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements. - Emmanuel Sin, He Yin, Murat Arcak:
Passivity-based distributed acquisition and station-keeping control of a satellite constellation in areostationary orbit. - Alfredo Jose Morales, Shahar Somin, Yaniv Altshuler, Alex 'Sandy' Pentland:
User behavior and token adoption on ERC20. - Emmanuel Sin, Murat Arcak, Andrew K. Packard, Douglas Philbrick, Peter J. Seiler:
Optimal assignment of collaborating agents in multi-body asset-guarding games. - Yao Cheng, Cheng-Kang Chu, Hsiao-Ying Lin, Marius Lombard-Platet, David Naccache:
Keyed Non-Parametric Hypothesis Tests. - Atil Ilerialkan, Alptekin Temizel, Hüseyin Hacihabiboglu:
Speaker and Posture Classification using Instantaneous Intraspeech Breathing Features. - Stephen Skeirik, José Meseguer, Camilo Rocha:
Verification of the IBOS Browser Security Properties in Reachability Logic. - Rishikesh Jha, Stephen Lee, Srinivasan Iyengar, Mohammad H. Hajiesmaili, David E. Irwin, Prashant J. Shenoy:
Emission-aware Energy Storage Scheduling for a Greener Grid. - Xiufeng Huang, Sheng Zhou:
Dynamic Compression Ratio Selection for Edge Inference Systems with Hard Deadlines. - Maria Bras-Amorós, Alonso Sepúlveda Castellanos, Luciane Quoos:
The Isometry-Dual Property in Flags of Two-Point Algebraic Geometry Codes. - Oumaima Oueslati, Erik Cambria, Moez Ben HajHmida, Habib Ounelli:
A review of sentiment analysis research in Arabic language. - Mengzhou Xia, Anjalie Field, Yulia Tsvetkov:
Demoting Racial Bias in Hate Speech Detection. - Pradeep Ambati, David E. Irwin, Prashant J. Shenoy:
No Reservations: A First Look at Amazon's Reserved Instance Marketplace. - Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis:
Attention-based Neural Bag-of-Features Learning for Sequence Data. - Jaskirat Singh, Liang Zheng:
Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning. - Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta, Saurabh Gupta:
Neural Topological SLAM for Visual Navigation. - Xiang-Fei Yang, Yuan-Hai Shao, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng:
Principal Component Analysis Based on T𝓁1-norm Maximization. - Fadi Salo, MohammadNoor Injadat, Ali Bou Nassif, Aleksander Essex:
Data Mining with Big Data in Intrusion Detection Systems: A Systematic Literature Review. - Eman A. Khashan, Ali I. El-Desouky, M. Fadel, Sally M. Elghamrawy:
A Big Data Based Framework for Executing Complex Query Over COVID-19 Datasets (COVID-QF). - Carmela Troncoso, Mathias Payer, Jean-Pierre Hubaux, Marcel Salathé, James R. Larus, Edouard Bugnion, Wouter Lueks, Theresa Stadler, Apostolos Pyrgelis, Daniele Antonioli, Ludovic Barman, Sylvain Chatel, Kenneth G. Paterson, Srdjan Capkun, David A. Basin, Jan Beutel, Dennis Jackson, Marc Roeschlin, Patrick Leu, Bart Preneel, Nigel P. Smart, Aysajan Abidin, Seda F. Gürses, Michael Veale, Cas Cremers, Michael Backes, Nils Ole Tippenhauer, Reuben Binns, Ciro Cattuto, Alain Barrat, Dario Fiore, Manuel Barbosa, Rui Oliveira, José Pereira:
Decentralized Privacy-Preserving Proximity Tracing. - Sanjana Sinha, Sandika Biswas, Brojeshwar Bhowmick:
Identity-Preserving Realistic Talking Face Generation. - Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
Learning To Classify Images Without Labels. - Cong Wang, Yuanyuan Yang, Pengzhan Zhou:
Towards Efficient Scheduling of Federated Mobile Devices under Computational and Statistical Heterogeneity. - Bashar Awwad Shiekh Hasan, Kate Kelly:
Bayesian Stress Testing of Models in a Classification Hierarchy. - Oussama Abderrahmane Dambri, Soumaya Cherkaoui:
A Physical Channel Model for Wired Nano-Communication Networks. - Quang-Doanh Vu, Le-Nam Tran, Markku J. Juntti:
Noncoherent Joint Transmission Beamforming for Dense Small Cell Networks: Global Optimality, Efficient Solution and Distributed Implementation. - Dan Roth:
Incidental Supervision: Moving beyond Supervised Learning. - Svitlana Vakulenko, Evangelos Kanoulas, Maarten de Rijke:
An Analysis of Mixed Initiative and Collaboration in Information-Seeking Dialogues. - Maximilian Algehed, Cormac Flanagan:
Transparent IFC Enforcement: Possibility and (In)Efficiency Results. - Martin Striegel, Florian Jakobsmeier, Yacov Matveev, Johann Heyszl, Georg Sigl:
Secure and User-Friendly Over-the-Air Firmware Distribution in a Portable Faraday Cage. - Michael Moor, Max Horn, Christian Bock, Karsten M. Borgwardt, Bastian Rieck:
Path Imputation Strategies for Signature Models. - Jalal Etesami, Christoph-Nikolas Straehle:
Non-cooperative Multi-agent Systems with Exploring Agents. - Feibo Jiang, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan:
Distributed Resource Scheduling for Large-Scale MEC Systems: A Multi-Agent Ensemble Deep Reinforcement Learning with Imitation Acceleration. - Richard Seeber, Hernan Haimovich, Martin Horn, Leonid M. Fridman, Hernán De Battista:
Exact differentiators with assigned global convergence time bound. - Andreas Kirkedal, Marija Stepanovic, Barbara Plank:
FT Speech: Danish Parliament Speech Corpus. - Guilherme Ramos, Ludovico Boratto:
Reputation (In)dependence in Ranking Systems: Demographics Influence Over Output Disparities. - Fangyuan Chang, Xiaofan Cui, Mengqi Wang, Wencong Su, Alex Q. Huang:
Large-Signal Stability Criteria in DC Power Grids with Distributed-Controlled Converters and Constant Power Loads. - Sebastian Baumbach, Jahanzeb Khan, Sheraz Ahmed, Andreas Dengel:
QuViS - The Question of Visual Site Selection. - Varoon Mathur, Saptarshi Purkayastha, Judy Wawira Gichoya:
Artificial Intelligence for Global Health: Learning From a Decade of Digital Transformation in Health Care. - Sumon Biswas, Hridesh Rajan:
Do the Machine Learning Models on a Crowd Sourced Platform Exhibit Bias? An Empirical Study on Model Fairness. - Ning Wang, Fan Luo, Vishal Peddagangireddy, K. P. Subbalakshmi, Rajarathnam Chandramouli:
Personalized Early Stage Alzheimer's Disease Detection: A Case Study of President Reagan's Speeches. - Yiqi Wang, Yao Ma, Charu C. Aggarwal, Jiliang Tang:
Non-IID Graph Neural Networks. - Zhihan Jiang, Longbiao Chen, Binbin Zhou, Jingchun Huang, Tianqi Xie, Xiaoliang Fan, Cheng Wang:
iTV: Inferring Traffic Violation-Prone Locations with Vehicle Trajectory and Road Environment Data. - Dongdong She, Rahul Krishna, Lu Yan, Suman Jana, Baishakhi Ray:
MTFuzz: Fuzzing with a Multi-Task Neural Network. - Ye Hu, Mingzhe Chen, Walid Saad, H. Vincent Poor, Shuguang Cui:
Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks. - Marzieh Fadaee, Christof Monz:
The Unreasonable Volatility of Neural Machine Translation Models. - Md Amimul Ehsan, Amir Shahirinia, Nian Zhang, Timothy Oladunni:
Wind Speed Prediction and Visualization Using Long Short-Term Memory Networks (LSTM). - Mohit Srinivasan, Cesar Santoyo, Samuel Coogan:
Continuous Reachability Task Transition Using Control Barrier Functions. - Petar Radanliev, David De Roure, Max Van Kleek:
Digitalization of COVID-19 pandemic management and cyber risk from connected systems. - Manuel Mager, Katharina Kann:
The IMS-CUBoulder System for the SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion. - Mohammad K. Ebrahimpour, Sara Schneider, David C. Noelle, Christopher T. Kello:
InfantNet: A Deep Neural Network for Analyzing Infant Vocalizations. - Johannes Köhler, Matthias A. Müller, Frank Allgöwer:
Constrained nonlinear output regulation using model predictive control - extended version. - Willow Ahrens, Erik G. Boman:
On Optimal Partitioning For Sparse Matrices In Variable Block Row Format. - Cristián Bravo, María Óskarsdóttir:
Evolution of Credit Risk Using a Personalized Pagerank Algorithm for Multilayer Networks. - Takanori Fujiwara, Jian Zhao, Francine Chen, Yaoliang Yu, Kwan-Liu Ma:
Interpretable Contrastive Learning for Networks. - Terence Broad, Frederic Fol Leymarie, Mick Grierson:
Network Bending: Manipulating The Inner Representations of Deep Generative Models. - Caleb Ziems, Bing He, Sandeep Soni, Srijan Kumar:
Racism is a Virus: Anti-Asian Hate and Counterhate in Social Media during the COVID-19 Crisis. - Thomas Wiegart, Francesco Da Ros, Metodi Plamenov Yankov, Fabian Steiner, Simone Gaiarin, Richard D. Wesel:
Probabilistically Shaped 4-PAM for Short-Reach IM/DD Links with a Peak Power Constraint. - Shuhan Yuan, Xintao Wu:
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities. - Douglas N. Arnold, Kaibo Hu:
Complexes from complexes. - Haitian Zheng, Kefei Wu, Jong-Hwi Park, Wei Zhu, Jiebo Luo:
Personalized Fashion Recommendation from Personal Social Media Data: An Item-to-Set Metric Learning Approach. - Shashank Sonkar, Andrew E. Waters, Andrew S. Lan, Phillip J. Grimaldi, Richard G. Baraniuk:
qDKT: Question-centric Deep Knowledge Tracing. - Farhad Akhbardeh, Travis Desell, Marcos Zampieri:
MaintNet: A Collaborative Open-Source Library for Predictive Maintenance Language Resources. - Yuchuan Gou, Qiancheng Wu, Minghao Li, Bo Gong, Mei Han:
SegAttnGAN: Text to Image Generation with Segmentation Attention. - Ioannis Sfyrakis, Thomas Gross:
GSL: A Cryptographic Library for the strong RSA Graph Signature Scheme. - Ioannis Sfyrakis, Thomas Gross:
A Survey on Hardware Approaches for Remote Attestation in Network Infrastructures. - Sihwan Kim, Taejang Park:
Learning Robust Feature Representations for Scene Text Detection. - Matías Mendieta, Hamed Tabkhi:
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path Prediction. - Yan Jiang, Eliza Cohn, Petr Vorobev, Enrique Mallada:
Storage-Based Frequency Shaping Control. - Feilong Zhang:
Full-Form Model-Free Adaptive Control for a Family of Multivariable System. - Xin Man, Ernest Chan:
The best way to select features? - Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi:
EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. - Lingbo Yang, Pan Wang, Xinfeng Zhang, Shanshe Wang, Zhanning Gao, Peiran Ren, Xuansong Xie, Siwei Ma, Wen Gao:
Region-adaptive Texture Enhancement for Detailed Person Image Synthesis. - Takashi Mori, Masahito Ueda:
Is deeper better? It depends on locality of relevant features. - Mengyu Ma, Ye Wu, Xue Ouyang, Luo Chen, Jun Li, Ning Jing:
HiVision: Rapid Visualization of Large-Scale Spatial Vector Data. - Lingbo Yang, Pan Wang, Chang Liu, Zhanning Gao, Peiran Ren, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Xiansheng Hua, Wen Gao:
Towards Fine-grained Human Pose Transfer with Detail Replenishing Network. - Michal Yemini, Stephanie Gil, Andrea Goldsmith:
Exploiting Local and Cloud Sensor Fusion in Intermittently Connected Sensor Networks. - Eric Zelikman, Christopher Healy:
Improving Regression Uncertainty Estimates with an Empirical Prior. - Shan Jean Wu, Chih-Yuan Yang, Jane Yung-jen Hsu:
CalliGAN: Style and Structure-aware Chinese Calligraphy Character Generator. - Benjamin Kane, Georgiy Platonov, Lenhart K. Schubert:
History-Aware Question Answering in a Blocks World Dialogue System. - Jihyung Moon, Won-Ik Cho, Junbum Lee:
BEEP! Korean Corpus of Online News Comments for Toxic Speech Detection. - Mashbat Suzuki, Adrian Vetta:
How Many Freemasons Are There? The Consensus Voting Mechanism in Metric Spaces. - Zhijun Wu:
Social Distancing as a Network Population Game in a Socially Connected World. - Joseph Campbell, Katsu Yamane:
Learning Whole-Body Human-Robot Haptic Interaction in Social Contexts. - Mandy Xie, Frank Dellaert:
Batch and Incremental Kinodynamic Motion Planning using Dynamic Factor Graphs. - Mehrdad Farahani, Mohammad Gharachorloo, Marzieh Farahani, Mohammad Manthouri:
ParsBERT: Transformer-based Model for Persian Language Understanding. - Chang-You Tai, Meng-Ru Wu, Yun-Wei Chu, Shao-Yu Chu, Lun-Wei Ku:
MVIN: Learning Multiview Items for Recommendation. - Daijiro Koyama, Yunzhuo Wang, Nobuyasu Shiga, Satoshi Yasuda, Nicolas Chauvet, Makoto Naruse:
Information transfer based on precision time synchronization via wireless interferometry. - Shilin Zhu:
Survey: Machine Learning in Production Rendering. - Yunfan Zhang, Feng Liu, Zhaojian Wang, Jianhui Wang, Yifan Su, Yue Chen, Cheng Wang, Qiuwei Wu:
Asynchrony-Resilient and Privacy-Preserving Charging Protocol for Plug-in Electric Vehicles. - Ju-Hyung Lee, Jihong Park, Mehdi Bennis, Young-Chai Ko:
Integrating LEO Satellite and UAV Relaying via Reinforcement Learning for Non-Terrestrial Networks. - Jerry W. Wei, Chengyu Huang, Soroush Vosoughi, Jason Wei:
What Are People Asking About COVID-19? A Question Classification Dataset. - Sauradip Nag, Palaiahnakote Shivakumara, Umapada Pal, Tong Lu, Michael Blumenstein:
A New Unified Method for Detecting Text from Marathon Runners and Sports Players in Video. - Behnam Hedayatnia, Seokhwan Kim, Yang Liu, Karthik Gopalakrishnan, Mihail Eric, Dilek Hakkani-Tür:
Policy-Driven Neural Response Generation for Knowledge-Grounded Dialogue Systems. - Ben Goertzel, Andres Suarez Madrigal, Gino Yu:
Guiding Symbolic Natural Language Grammar Induction via Transformer-Based Sequence Probabilities. - Ben Goertzel, Mike Duncan, Debbie Duong, Nil Geisweiller, Hedra Seid, Abdulrahman Semrie, Man Hin Leung, Matthew Iklé:
Embedding Vector Differences Can Be Aligned With Uncertain Intensional Logic Differences. - Zhouxia Wang, Jiawei Zhang, Mude Lin, Jiong Wang, Ping Luo, Jimmy S. J. Ren:
Learning a Reinforced Agent for Flexible Exposure Bracketing Selection. - Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions. - Jing Zhang, Wanqing Li, Lu Sheng, Chang Tang, Philip Ogunbona:
Unsupervised Domain Expansion from Multiple Sources. - Marie-Morgane Paumard, David Picard, Hedi Tabia:
Deepzzle: Solving Visual Jigsaw Puzzles with Deep Learning andShortest Path Optimization. - Padmini Rangamani, Ali Behzadan, Michael J. Holst:
Local sensitivity analysis of the 'Membrane shape equation' derived from the Helfrich energy. - Alexey Abramov, Christopher Bayer, Claudio Heller:
Keep it Simple: Image Statistics Matching for Domain Adaptation. - Hao Chen, Chang Wang, Jian Huang, Jianxing Gong:
Efficient Use of heuristics for accelerating XCS-based Policy Learning in Markov Games. - Stuart Watt, Mikhail Kostylev:
Spoken digit classification using a spin-wave delay-line active-ring reservoir computing. - Vittorio Lippi, Fabio Molinari:
Lyapunov Stability of a Nonlinear Bio-inspired System for the Control of Humanoid Balance. - Max Blendowski, Mattias P. Heinrich:
Learning to map between ferns with differentiable binary embedding networks. - Siddhartha Mishra, T. Konstantin Rusch:
Enhancing accuracy of deep learning algorithms by training with low-discrepancy sequences. - Saadullah Amin, Katherine Ann Dunfield, Anna Vechkaeva, Günter Neumann:
A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction. - Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua:
Hierarchical Fashion Graph Network for Personalized Outfit Recommendation. - Vahid Garousi, Seyfettin Arkan, Gökhan Urul, Çagri Murat Karapiçak, Michael Felderer:
Assessing the maturity of software testing services using CMMI-SVC: An industrial case study. - Enrique Larios Vargas, Maurício Finavaro Aniche, Christoph Treude, Magiel Bruntink, Georgios Gousios:
Selecting third-party libraries: The practitioners' perspective. - Vanessa Volz, Niels Justesen, Sam Snodgrass, Sahar Asadi, Sami Purmonen, Christoffer Holmgård, Julian Togelius, Sebastian Risi:
Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning. - Thomas Ehrhard:
Differentials and distances in probabilistic coherence spaces (extended version). - Raphaël Cohen, Eric Feron, Pierre-Loïc Garoche:
Verification and Validation of Convex Optimization Algorithms for Model Predictive Control. - Kostiantyn Omelianchuk, Vitaliy Atrasevych, Artem N. Chernodub, Oleksandr Skurzhanskyi:
GECToR - Grammatical Error Correction: Tag, Not Rewrite. - Christos K. Verginis, Dimos V. Dimarogonas:
Adaptive Robot Navigation with Collision Avoidance subject to 2nd-order Uncertain Dynamics. - Chang Chen, Kai Jiang, Chenglong Bao:
An accelerated method for computing stationary states of multicomponent phase field crystal model. - Markus Borg, Joakim Wernberg, Thomas Olsson, Ulrik Franke, Martin Andersson:
Illuminating a Blind Spot in Digitalization - Software Development in Sweden's Private and Public Sector. - Joar Bagge, Anna-Karin Tornberg:
Highly accurate special quadrature methods for Stokesian particle suspensions in confined geometries. - Sebastian Brandt, Julian Portmann, Jara Uitto:
Tight Bounds for Deterministic High-Dimensional Grid Exploration. - Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani:
Memory-Efficient Sampling for Minimax Distance Measures. - Fabio Massimo Zennaro, Laszlo Erdodi:
Modeling Penetration Testing with Reinforcement Learning Using Capture-the-Flag Challenges and Tabular Q-Learning. - Xuelin Qian, Wenxuan Wang, Li Zhang, Fangrui Zhu, Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue:
Long-Term Cloth-Changing Person Re-identification. - Thomas K. Dasaklis, Fran Casino, Constantinos Patsakis:
SoK: Blockchain Solutions for Forensics. - Rahime Belen Saglam, Jason R. C. Nurse:
Is your chatbot GDPR compliant? Open issues in agent design. - Bérenger Bramas, Quentin Bramas:
On the improvement of the in-place merge algorithm parallelization. - David Puljiz, Franziska Krebs, Fabian Bösing, Björn Hein:
What the HoloLens Maps Is Your Workspace: Fast Mapping and Set-up of Robot Cells via Head Mounted Displays and Augmented Reality. - Xin Yao, Lifeng Sun:
Continual Local Training for Better Initialization of Federated Models. - Tobias K. S. Ritschel, Frances Weiß, Manuel Baumann, Sara Grundel:
Nonlinear model reduction of dynamical power grid models using quadratization and balanced truncation. - Paschalis Bizopoulos, Dimitris Bizopoulos:
Reconciler: A Workflow for Certifying Computational Research Reproducibility. - Alessio Monti, Alessia Bertugli, Simone Calderara, Rita Cucchiara:
DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting. - Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Hervé Delingette:
A Deep Learning based Fast Signed Distance Map Generation. - Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel S. Weld, Marti A. Hearst, Jevin West:
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search. - Zachary B. Ratliff, Joud Khoury:
SNARKs to the rescue: proof-of-contact in zero knowledge. - Shuangyi Wang, Kehao Wang, Hongbin Liu, Zengguang Hou:
Design of a Low-cost Miniature Robot to Assist the COVID-19 Nasopharyngeal Swab Sampling. - Qinghua Lu, An Binh Tran, Ingo Weber, Hugo O'Connor, Paul Rimba, Xiwei Xu, Mark Staples, Liming Zhu, Ross Jeffery:
Integrated Model-Driven Engineering of Blockchain Applications for Business Processes and Asset Management. - Mengqi Ji, Jinzhi Zhang, Qionghai Dai, Lu Fang:
SurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-view Stereopsis. - Shizuo Kaji, Takeki Sudo, Kazushi Ahara:
Cubical Ripser: Software for computing persistent homology of image and volume data. - Yi Zhu, Menglin Xia, Yiwei Zhou:
Generating Semantically Valid Adversarial Questions for TableQA. - Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn:
Active Measure Reinforcement Learning for Observation Cost Minimization. - Reginald D. Smith:
An improved estimate of the inverse binary entropy function. - Benedikt Kleinmeier, Gerta Köster, John Drury:
Agent-Based Simulation of Collective Cooperation: From Experiment to Model. - Christian Komo, Christoph Beierle:
Nonmonotonic Inferences with Qualitative Conditionals based on Preferred Structures on Worlds. - Ye Wang, Roger Wattenhofer:
Asynchronous Byzantine Agreement in Incomplete Networks [Technical Report]. - Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Madry:
Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO. - Daryl R. DeFord, Moon Duchin, Justin Solomon:
A Computational Approach to Measuring Vote Elasticity and Competitiveness. - Sophia Caldera, Daryl R. DeFord, Moon Duchin, Samuel C. Gutekunst, Cara Nix:
Mathematics of Nested Districts: The Case of Alaska. - Hieu H. Pham, Tung T. Le, Dat T. Ngo, Dat Q. Tran, Ha Q. Nguyen:
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels. - Yutaka Nagashima:
Towards United Reasoning for Automatic Induction in Isabelle/HOL. - Yang-Ho Ji, HeeJae Jun, Insik Kim, Jongtack Kim, Youngjoon Kim, ByungSoo Ko, Hyong-Keun Kook, Jingeun Lee, Sangwon Lee, Sanghyuk Park:
An Effective Pipeline for a Real-world Clothes Retrieval System. - (Withdrawn) What am I Searching for: Zero-shot Target Identity Inference in Visual Search.
- Arushi Gupta:
Inherent Noise in Gradient Based Methods. - Geethu Joseph:
Output Controllability of a Linear Dynamical System with Sparse Controls. - Tong Ye, Kui Chen:
Modular WSS-based OXCs for Large-Scale Optical Networks. - Belén Saldías, Deb Roy:
Exploring aspects of similarity between spoken personal narratives by disentangling them into narrative clause types. - Hongchao Fang, Pengtao Xie:
CERT: Contrastive Self-supervised Learning for Language Understanding. - Deepanway Ghosal, Maheshkumar H. Kolekar:
Visual Interest Prediction with Attentive Multi-Task Transfer Learning. - Haocong Luo, Taha Shahroodi, Hasan Hassan, Minesh Patel, Abdullah Giray Yaglikçi, Lois Orosa, Jisung Park, Onur Mutlu:
CLR-DRAM: A Low-Cost DRAM Architecture Enabling Dynamic Capacity-Latency Trade-Off. - Dat Ngo, Hao Hoang, Anh Nguyen, Tien Ly, Lam Pham:
Sound Context Classification Basing on Join Learning Model and Multi-Spectrogram Features. - Jacopo Tagliabue, Bingqing Yu, Marie Beaulieu:
How to Grow a (Product) Tree: Personalized Category Suggestions for eCommerce Type-Ahead. - Hervé Chabanne, Linda Guiga:
A Protection against the Extraction of Neural Network Models. - Oluwasegun Ojo, Augusto García-Agundez, Benjamin Girault, Harold Hernández, Elisa Cabana, Amanda García-García, Payman Arabshahi, Carlos Baquero, Paolo Casari, Ednaldo José Ferreira, Davide Frey, Chryssis Georgiou, Mathieu Goessens, Anna Ishchenko, Ernesto Jiménez, Oleksiy Kebkal, Rosa E. Lillo, Raquel Menezes, Nicolas Nicolaou, Antonio Ortega, Paul Patras, Julian C. Roberts, Efstathios Stavrakis, Yuichi Tanaka, Antonio Fernández Anta:
CoronaSurveys: Using Surveys with Indirect Reporting to Estimate the Incidence and Evolution of Epidemics. - Yuan Gao, Jian-Guo Liu, Nan Wu:
Data-driven Efficient Solvers and Predictions of Conformational Transitions for Langevin Dynamics on Manifold in High Dimensions. - Tianchi Huang, Rui-Xiao Zhang, Lifeng Sun:
Self-play Reinforcement Learning for Video Transmission. - Eyke Hüllermeier:
Towards Analogy-Based Explanations in Machine Learning. - Kianté Brantley, Amr Sharaf, Hal Daumé III:
Active Imitation Learning with Noisy Guidance. - Bence G. Tóth, István Horváth:
How the planned V0 railway line would increase the resilience of the railway network of Hungary against attacks. - Nikolaos Misirlis, Miriam H. Zwaan, David Weber:
International students' loneliness, depression and stress levels in COVID-19 crisis. The role of social media and the host university. - Philipp Foehn, Dario Brescianini, Elia Kaufmann, Titus Cieslewski, Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza:
AlphaPilot: Autonomous Drone Racing. - Diego Aghi, Vittorio Mazzia, Marcello Chiaberge:
Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D Camera-Based Algorithm and Deep Learning Synergy. - Christophe Van Gysel, Manos Tsagkias, Ernest Pusateri, Ilya Oparin:
Predicting Entity Popularity to Improve Spoken Entity Recognition by Virtual Assistants. - Madhur Jain:
Study of Firecracker MicroVM. - Tao Liu:
BHN: A Brain-like Heterogeneous Network. - Jia Xue, Junxiang Chen, Ran Hu, Chen Chen, ChengDa Zheng, Tingshao Zhu:
Twitter discussions and concerns about COVID-19 pandemic: Twitter data analysis using a machine learning approach. - Vasilis K. Oikonomou, Jürgen Jost:
Periodic Strategies II: Generalizations and Extensions. - Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, Degui Zhi:
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction. - Ouns Bouachir, Moayad Aloqaily, Lewis Tseng, Azzedine Boukerche:
Blockchain and Fog Computing for Cyber-Physical Systems: Case of Smart Industry. - Michelangelo Misuraca, Alessia Forciniti, Germana Scepi, Maria Spano:
Sentiment Analysis for Education with R: packages, methods and practical applications. - Antonio Prestes García, Alfonso Rodríguez-Patón:
Applying Evolutionary Metaheuristics for Parameter Estimation of Individual-Based Models. - Ilias Diakonikolas, Surbhi Goel, Sushrut Karmalkar, Adam R. Klivans, Mahdi Soltanolkotabi:
Approximation Schemes for ReLU Regression. - Giuseppe Canonaco, Andrea Soprani, Manuel Roveri, Marcello Restelli:
Time-Variant Variational Transfer for Value Functions. - Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko:
End-to-End Object Detection with Transformers. - Miyuru Dayarathna, Toyotaro Suzumura:
Benchmarking Graph Data Management and Processing Systems: A Survey. - Cezary Kaliszyk, Florian Rabe:
A Survey of Languages for Formalizing Mathematics. - Siyu Hong, Kunhong Li, Yongcong Zhang, Zhiheng Fu, Mengyi Liu, Yulan Guo:
Learning Local Features with Context Aggregation for Visual Localization. - Junade Ali, Vladimir Dyo:
Cross Hashing: Anonymizing encounters in Decentralised Contact Tracing Protocols. - Ruixiang Cui, Daniel Hershcovich:
Refining Implicit Argument Annotation For UCCA. - Rajat, Munender Varshney, Pravendra Singh, Vinay P. Namboodiri:
Minimizing Supervision in Multi-label Categorization. - Fernando Casas, Philippe Chartier, Alejandro Escorihuela-Tomas, Yong Zhang:
Compositions of pseudo-symmetric integrators with complex coefficients for the numerical integration of differential equations. - Fred Wiffen, Mohammud Z. Bocus, Woon Hau Chin, Angela Doufexi, Mark A. Beach:
Dimension Reduction-based Signal Compression for Uplink Distributed MIMO C-RAN with Limited Fronthaul Capacity. - Ilan Shomorony, Alireza Vahid:
Communicating over the Torn-Paper Channel. - Tae Hwan Oh, Jiyoon Han, Hyonsu Choe, Seokwon Park, Han He, Jinho D. Choi, Na-Rae Han, Jena D. Hwang, Hansaem Kim:
Analysis of the Penn Korean Universal Dependency Treebank (PKT-UD): Manual Revision to Build Robust Parsing Model in Korean. - Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen:
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. - Cong Wang, Yanru Xiao, Xing Gao, Li Li, Jun Wang:
Explore Training of Deep Convolutional Neural Networks on Battery-powered Mobile Devices: Design and Application. - Yunseong Cho, Jinseok Choi, Brian L. Evans:
Coordinated Multicell Beamforming and Power Allocation for Massive MIMO with low-resolution ADC/DAC. - Yann Thierry-Mieg:
Structural Reductions Revisited. - Romeo Ortega, Emmanuel Nuño, Alexei A. Bobtsov:
Distributed Observers for LTI Systems with Finite Convergence Time: A Parameter Estimation-based Approach. - Alexander Lipton, Aetienne Sardon, Fabian Schär, Christian Schüpbach:
From Tether to Libra: Stablecoins, Digital Currency and the Future of Money. - Karan Ahuja, Abhishek Bose, Mohit Jain, Kuntal Dey, Anil Joshi, Krishnaveni Achary, Blessin Varkey, Chris Harrison, Mayank Goel:
Gaze-based Autism Detection for Adolescents and Young Adults using Prosaic Videos. - Vassilios A. Dougalis, Angel Durán:
A high order fully discrete scheme for the Korteweg-de vries equation with a time-stepping procedure of Runge-Kutta-composition type. - Jan Blechta:
Stability of linear GMRES convergence with respect to compact perturbations. - Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang:
Contrastive Learning for Debiased Candidate Generation at Scale. - Zhiqiang Ma, Steven Pomerville, Mingyang Di, Armineh Nourbakhsh:
SPot: A tool for identifying operating segments in financial tables. - Benjamin Lansdell:
Towards intervention-centric causal reasoning in learning agents. - Jason M. Pittman, Kyle Hoffpauir, Nathan Markle, Cameron Meadows:
A Taxonomy for Dynamic Honeypot Measures of Effectiveness. - Chuan-Ju Wang, Yu-Neng Chuang, Chih-Ming Chen, Ming-Feng Tsai:
Skewness Ranking Optimization for Personalized Recommendation. - Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher:
Opportunistic Multi-aspect Fairness through Personalized Re-ranking. - Andrés González-Zumba, Pedro Fernández de Córdoba, Juan Carlos Cortés, Volker Mehrmann:
Stability Assessment of Stochastic Differential-Algebraic Systems via Lyapunov Exponents with an Application to Power Systems. - Laure Prétet, Gaël Richard, Geoffroy Peeters:
Learning to rank music tracks using triplet loss. - Simra Shahid, Tanmay Singh, Yash Sharma, Kapil Sharma:
Devising Malware Characterstics using Transformers. - Shijun Li, Wenqiang Lei, Qingyun Wu, Xiangnan He, Peng Jiang, Tat-Seng Chua:
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users. - Weinan Xu, Hengxu He, Minshi Tan, Yunming Li, Jun Lang, Dongbai Guo:
Deep Interest with Hierarchical Attention Network for Click-Through Rate Prediction. - Makbule Gulcin Ozsoy:
Utilizing FastText for Venue Recommendation. - Alessio Benavoli, Dario Azzimonti, Dario Piga:
Skew Gaussian Processes for Classification. - Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Ranking-Incentivized Quality Preserving Content Modification. - Dawid Rymarczyk, Jacek Tabor, Bartosz Zielinski:
Kernel Self-Attention in Deep Multiple Instance Learning. - Ashlee Milton, Maria Soledad Pera:
Evaluating Information Retrieval Systems for Kids. - Puxuan Yu, James Allan:
A Study of Neural Matching Models for Cross-lingual IR. - Baibhab Chatterjee, Dong-Hyun Seo, Shramana Chakraborty, Shitij Avlani, Xiaofan Jiang, Heng Zhang, Mustafa Abdallah, Nithin Raghunathan, Charilaos Mousoulis, Ali Shakouri, Saurabh Bagchi, Dimitrios Peroulis, Shreyas Sen:
Context-Aware Collaborative-Intelligence with Spatio-Temporal In-Sensor-Analytics for Efficient Communication in a Large-Area IoT Testbed. - Gregory Coppola:
DimensionRank: Personal Neural Representations for Personalized General Search. - Santiago González-Carvajal, Eduardo C. Garrido-Merchán:
Comparing BERT against traditional machine learning text classification. - Jason Phang, Phu Mon Htut, Yada Pruksachatkun, Haokun Liu, Clara Vania, Katharina Kann, Iacer Calixto, Samuel R. Bowman:
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too. - Tobias Gysi, Christoph Müller, Oleksandr Zinenko, Stephan Herhut, Eddie Davis, Tobias Wicky, Oliver Fuhrer, Torsten Hoefler, Tobias Grosser:
Domain-Specific Multi-Level IR Rewriting for GPU. - David K. E. Green, Filip Rindler:
Probabilistic solution of chaotic dynamical system inverse problems using Bayesian Artificial Neural Networks. - Biplav Choudhury, Vijay K. Shah, Avik Dayal, Jeffrey H. Reed:
Experimental Analysis of Safety Application Reliability in V2V Networks. - Seetal Potluri, Aydin Aysu, Akash Kumar:
SeqL: Secure Scan-Locking for IP Protection. - Naveen Sai Madiraju, Homa Karimabadi:
Instance Explainable Temporal Network For Multivariate Timeseries. - Shreyank N. Gowda, Panagiotis Eustratiadis, Timothy M. Hospedales, Laura Sevilla-Lara:
ALBA : Reinforcement Learning for Video Object Segmentation. - Rylan Perumal, Terence L. van Zyl:
Comparison of Recurrent Neural Network Architectures for Wildfire Spread Modelling. - Thomas Davidson, Debasmita Bhattacharya:
Examining Racial Bias in an Online Abuse Corpus with Structural Topic Modeling. - Lei Kang, Pau Riba, Marçal Rusiñol, Alicia Fornés, Mauricio Villegas:
Pay Attention to What You Read: Non-recurrent Handwritten Text-Line Recognition. - Thiago Suzuki, Larissa Suzuki:
On the benefit of 3-tier SOA architecture promoting information sharing among TMS systems and Brazilian e- Government Web Services: A CT-e case study. - Qinhan Tan, Seetal Potluri, Aydin Aysu:
Efficacy of Satisfiability Based Attacks in the Presence of Circuit Reverse Engineering Errors. - Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Mark Kirkland, Peter Schütz, Carola-Bibiane Schönlieb:
Multi-task deep learning for image segmentation using recursive approximation tasks. - Mallku Soldevila, Beta Ziliani, Daniel Fridlender:
Understanding Lua's Garbage Collection - Towards a Formalized Static Analyzer. - Eduardo José Gómez-Hernández, Pablo Antonio Martínez, Biagio Peccerillo, Sandro Bartolini, José Manuel García Carrasco, Gregorio Bernabé:
Using PHAST to port Caffe library: First experiences and lessons learned. - Kai Shu, Subhabrata Mukherjee, Guoqing Zheng, Ahmed Hassan Awadallah, Milad Shokouhi, Susan T. Dumais:
Learning with Weak Supervision for Email Intent Detection. - Aditya Rawal, Joel Lehman, Felipe Petroski Such, Jeff Clune, Kenneth O. Stanley:
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search. - Sohini Roy, Arunabha Sen:
Secure and Energy Efficient Remote Monitoring Technique (SERMT) for Smart Grid. - Baoxu Shi, Jaewon Yang, Feng Guo, Qi He:
Salience and Market-aware Skill Extraction for Job Targeting. - Nilufer Tuptuk, Stephen Hailes:
Identifying Vulnerabilities of Industrial Control Systems using Evolutionary Multiobjective Optimisation. - Sahib Singh, Harshvardhan Sikka:
Benchmarking Differentially Private Residual Networks for Medical Imagery. - Marieme Ngom, Oana Marin:
Approximating periodic functions and solving differential equations using a novel type of Fourier Neural Networks. - Vahid Azimi, Mojtaba Sharifi, Seyed Abolfazl Fakoorian, Thang Nguyen-Tien:
State Estimation-Based Robust Optimal Control of Influenza Epidemics in an Interactive Human Society. - Leonardo Gigli, B. Ravi Kiran, Thomas Paul, Andrés Serna, Nagarjuna Vemuri, Beatriz Marcotegui, Santiago Velasco-Forero:
Road Segmentation on low resolution Lidar point clouds for autonomous vehicles. - Mee Seong Im, Venkat R. Dasari:
Genetic optimization algorithms applied toward mission computability models. - Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg:
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints. - Clifford Broni-Bediako, Yuki Murata, Luiz Henrique Mormille, Masayasu Atsumi:
Evolutionary NAS with Gene Expression Programming of Cellular Encoding. - Kyle Swanson, Lili Yu, Tao Lei:
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport. - Jing Lu, Baorui Zou, Zhanzhan Cheng, Shiliang Pu, Shuigeng Zhou, Yi Niu, Fei Wu:
Object-QA: Towards High Reliable Object Quality Assessment. - Chengwei Zhang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Fei Wu, Futai Zou:
SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition. - Peng Zhang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Jing Lu, Liang Qiao, Yi Niu, Fei Wu:
TRIE: End-to-End Text Reading and Information Extraction for Document Understanding. - Zehao Lin, Shaobo Cui, Xiaoming Kang, Guodun Li, Feng Ji, Haiqing Chen, Yin Zhang:
Should Answer Immediately or Wait for Further Information? A Novel Wait-or-Answer Task and Its Predictive Approach. - Shuyue Guan, Murray H. Loew, Hanseok Ko:
Data Separability for Neural Network Classifiers and the Development of a Separability Index. - Jeremie S. Kim, Minesh Patel, Abdullah Giray Yaglikçi, Hasan Hassan, Roknoddin Azizi, Lois Orosa, Onur Mutlu:
Revisiting RowHammer: An Experimental Analysis of Modern DRAM Devices and Mitigation Techniques. - Kelechi Nwaike, Licheng Jiao:
Counterfactual Detection meets Transfer Learning. - Xiaoying Ding, Zhenzhong Chen:
Towards Mesh Saliency Detection in 6 Degrees of Freedom. - (Withdrawn) Rethinking Dialogue State Tracking with Reasoning.
- Guang Chen, Shiwen Shen, Longyin Wen, Si Luo, Liefeng Bo:
Efficient Pig Counting in Crowds with Keypoints Tracking and Spatial-aware Temporal Response Filtering. - Yanliang Zhu, Dongchun Ren, Mingyu Fan, Deheng Qian, Xin Li, Huaxia Xia:
Robust Trajectory Forecasting for Multiple Intelligent Agents in Dynamic Scene. - Junchao Shi, Wenjin Wang, Xinping Yi, Xiqi Gao, Geoffrey Ye Li:
Robust Precoding in Massive MIMO: A Deep Learning Approach. - Zhongpai Gao, Guangtao Zhai, Junchi Yan, Xiaokang Yang:
PAI-Conv: Permutable Anisotropic Convolutional Networks for Learning on Point Clouds. - Fred Wiffen, Mohammud Z. Bocus, Angela Doufexi, Woon Hau Chin:
MF-based Dimension Reduction Signal Compression for Fronthaul-Constrained Distributed MIMO C-RAN. - Geoffrey Clark, Joseph Campbell, Seyed Mostafa Rezayat Sorkhabadi, Wenlong Zhang, Heni Ben Amor:
Predictive Modeling of Periodic Behavior for Human-Robot Symbiotic Walking. - Shruti Jadon:
SSM-Net for Plants Disease Identification in Low Data Regime. - Muhammad Asif Rana, Anqi Li, Dieter Fox, Byron Boots, Fabio Ramos, Nathan D. Ratliff:
Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems. - Y. C. Tay:
A review of analytical performance modeling and its role in computer engineering and science. - Mike Wu, Chengxu Zhuang, Milan Mosse, Daniel Yamins, Noah D. Goodman:
On Mutual Information in Contrastive Learning for Visual Representations. - Peter Fontana, Rance Cleaveland:
Timed Automata Benchmark Description. - Sungmin Woo, Sang-Won Hwang, Woo Jin Kim, Junhyeop Lee, Dogyoon Lee, Sangyoun Lee:
False Positive Removal for 3D Vehicle Detection with Penetrated Point Classifier. - Marta R. Costa-jussà, Roger Creus, Oriol Domingo, Albert Domínguez, Miquel Escobar, Cayetana López, Marina García, Margarita Geleta:
MT-Adapted Datasheets for Datasets: Template and Repository. - David E. Culler, Prabal Dutta, Gabe Fierro, Joseph E. Gonzalez, Nathan Pemberton, Johann Schleier-Smith, Kalyanaraman Shankari, Alvin Wan, Thomas Zachariah:
CoVista: A Unified View on Privacy Sensitive Mobile Contact Tracing Effort. - Koorosh Aslansefat, Ioannis Sorokos, Declan Whiting, Ramin Tavakoli Kolagari, Yiannis Papadopoulos:
SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure. - Lingfeng Bao, Tao Li, Xin Xia, Kaiyu Zhu, Hui Li, Xiaohu Yang:
How does Working from Home Affect Developer Productivity? - A Case Study of Baidu During COVID-19 Pandemic. - Haochen Liu, Zhiwei Wang, Tyler Derr, Jiliang Tang:
Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models. - Yu Wang, Junpeng Bao, Jianqiang Du, Yongfeng Li:
Precisely Predicting Acute Kidney Injury with Convolutional Neural Network Based on Electronic Health Record Data. - Pegah Salehi, Abdolah Chalechale, Maryam Taghizadeh:
Generative Adversarial Networks (GANs): An Overview of Theoretical Model, Evaluation Metrics, and Recent Developments. - Simone Fobi, Terence Conlon, Jayant Taneja, Vijay Modi:
Learning to segment from misaligned and partial labels. - Yaming Yang, Ziyu Guan, Jianxin Li, Wei Zhao, Jiangtao Cui, Quan Wang:
Interpretable and Efficient Heterogeneous Graph Convolutional Network. - Alex Cummaudo, Scott Barnett, Rajesh Vasa, John C. Grundy, Mohamed Abdelrazek:
Beware the evolving 'intelligent' web service! An integration architecture tactic to guard AI-first components. - Keisuke Okumura, Yasumasa Tamura, Xavier Défago:
Time-Independent Planning for Multiple Moving Agents. - Yiyue Chen, Abolfazl Hashemi, Haris Vikalo:
Communication-Efficient Algorithms for Decentralized Optimization Over Directed Graphs. - Paulito Palmes, Joern Ploennigs, Niall Brady:
TSML (Time Series Machine Learnng). - Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal:
TIME: Text and Image Mutual-Translation Adversarial Networks. - Sangjin Lee, Hyeongmin Lee, Taeoh Kim, Sangyoun Lee:
Extrapolative-Interpolative Cycle-Consistency Learning for Video Frame Extrapolation. - Xiaoyi Zhou, Tong Ye, Tony Tong Lee:
Designing and Analysis of A Wi-Fi Data Offloading Strategy Catering for the Preference of Mobile Users. - Yunfei Meng, Zhiqiu Huang, Guohua Shen, Changbo Ke:
A Security Policy Model Transformation and Verification Approach for Software Defined Networking. - Mingjian Tuo, Arun Venkatesh Ramesh, Xingpeng Li:
Benefits and Cyber-Vulnerability of Demand Response System in Real-Time Grid Operations. - Shaked Brody, Uri Alon, Eran Yahav:
Neural Edit Completion. - Kobi Leins, Jey Han Lau, Timothy Baldwin:
Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis? - Damien Grosgeorge, Maxime Arbelot, Alex Goupilleau, Tugdual Ceillier, Renaud Allioux:
Concurrent Segmentation and Object Detection CNNs for Aircraft Detection and Identification in Satellite Images. - Yingying Deng, Fan Tang, Weiming Dong, Wen Sun, Feiyue Huang, Changsheng Xu:
Arbitrary Style Transfer via Multi-Adaptation Network. - Stefanus Agus Haryono, Ferdian Thung, Hong Jin Kang, Lucas Serrano, Gilles Muller, Julia Lawall, David Lo, Lingxiao Jiang:
Automatic Android Deprecated-API Usage Update by Learning from Single Updated Example. - Guanghan Li, Yaping Zhao, Mengqi Ji, Xiaoyun Yuan, Lu Fang:
Zoom in to the details of human-centric videos. - Yao Zhang, Xiuzhen Zhang, Dengji Zhao:
Sybil-proof Answer Querying Mechanism. - Wirawan Istiono, Hijrah, Nur Nawaningtyas P.:
Education Games To Learn Basic Algorithm With Near Isometric Projection Method. - Ben van Werkhoven, Willem Jan Palenstijn, Alessio Sclocco:
Lessons learned in a decade of research software engineering GPU applications. - Bernardo Melo Pimentel:
Oligopoly Dynamics. - Vrushabh Zinage, Senthil Hariharan Arul, Dinesh Manocha:
3D-OGSE: Online Smooth Trajectory Generation for Quadrotors using Generalized Shape Expansion in Unknown 3D Environments. - Pedro Javier Ortiz Suárez, Yoann Dupont, Benjamin Muller, Laurent Romary, Benoît Sagot:
Establishing a New State-of-the-Art for French Named Entity Recognition. - Tianhe Yu, Garrett Thomas, Lantao Yu, Stefano Ermon, James Zou, Sergey Levine, Chelsea Finn, Tengyu Ma:
MOPO: Model-based Offline Policy Optimization. - Michel Grossetti, Marion Maisonobe, Laurent Jégou, Béatrice Milard, Guillaume Cabanac:
Spatial organisation of French research from the scholarly publication standpoint (1999-2017): Long-standing dynamics and policy-induced disorder. - Petr Hurtík, Vojtech Molek, Jan Hula, Marek Vajgl, Pavel Vlasánek, Tomas Nejezchleba:
Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3. - Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Chengjian Liu, Wei Wang, Bo Li:
Communication-Efficient Distributed Deep Learning: Survey, Evaluation, and Challenges. - Dani Kiyasseh, Tingting Zhu, David A. Clifton:
CLOCS: Contrastive Learning of Cardiac Signals. - Carlo Vittorio Cannistraci, Alessandro Muscoloni:
Geometrical congruence and efficient greedy navigability of complex networks. - Onur Dizdar, Yijie Mao, Wei Han, Bruno Clerckx:
Rate-Splitting Multiple Access for Downlink Multi-Antenna Communications: Physical Layer Design and Link-level Simulations. - Yang Zhang, Fuli Feng, Chenxu Wang, Xiangnan He, Meng Wang, Yan Li, Yongdong Zhang:
How to Retrain Recommender System? A Sequential Meta-Learning Method. - Tanner A. Bohn, Charles X. Ling:
Catching Attention with Automatic Pull Quote Selection. - Miguel Rodríguez-Pérez, Sergio Herrería-Alonso, Raúl Fernando Rodríguez Rubio, José Carlos López-Ardao:
Leveraging Energy Saving Capabilities of Current EEE Interfaces via Pre-Coalescing. - Bjarte Botnevik, Eirik Sakariassen, Vinay Setty:
BRENDA: Browser Extension for Fake News Detection. - Idoia Cortes Garcia, Jonas Pade, Sebastian Schöps, Caren Tischendorf:
Waveform relaxation for low frequency coupled field/circuit differential-algebraic models of index 2. - Irene Celino:
Who is this Explanation for? Human Intelligence and Knowledge Graphs for eXplainable AI. - Jonas Wurst, Alberto Flores Fernández, Michael Botsch, Wolfgang Utschick:
An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images. - Jakob Bossek, Pascal Kerschke, Heike Trautmann:
Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. - Thorsten Quandt, Svenja Boberg, Tim Schatto-Eckrodt, Lena Frischlich:
Pandemic News: Facebook Pages of Mainstream News Media and the Coronavirus Crisis - A Computational Content Analysis. - Moritz Seiler, Heike Trautmann, Pascal Kerschke:
Enhancing Resilience of Deep Learning Networks by Means of Transferable Adversaries. - Hongwei Xie, Shuo Zhang, Huanghao Ding, Yafei Song, Baitao Shao, Conggang Hu, Ling Cai, Mingyang Li:
Accelerating Neural Network Inference by Overflow Aware Quantization. - Wenhao Tang, Qiming Zhao, Sheng Huang, Ren Li, Luwen Huangfu:
Iteratively Optimized Patch Label Inference Network for Automatic Pavement Disease Detection. - Saad Shafiq, Atif Mashkoor, Christoph Mayr-Dorn, Alexander Egyed:
Machine Learning for Software Engineering: A Systematic Mapping. - Wonryong Ryou, Jiayu Chen, Mislav Balunovic, Gagandeep Singh, Andrei Marian Dan, Martin T. Vechev:
Fast and Effective Robustness Certification for Recurrent Neural Networks. - Hari Govind V. K., Yuting Chen, Sharon Shoham, Arie Gurfinkel:
Global Guidance for Local Generalization in Model Checking. - Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang:
General-Purpose User Embeddings based on Mobile App Usage. - Idan Mosseri, Lee-or Alon, Re'em Harel, Gal Oren:
ComPar: Optimized Multi-Compiler for Automatic OpenMP S2S Parallelization. - Xin Chen, Yuwei Li, Xi Luo, Tianjia Shao, Jingyi Yu, Kun Zhou, Youyi Zheng:
AutoSweep: Recovering 3D Editable Objectsfrom a Single Photograph. - Sascha Wolfer, Alexander Koplenig, Frank Michaelis, Carolin Müller-Spitzer:
Tracking, exploring and analyzing recent developments in German-language online press in the face of the coronavirus crisis: cOWIDplus Analysis and cOWIDplus Viewer. - Kang Huang, Wanchun Liu, Yonghui Li, Andrey V. Savkin, Branka Vucetic:
Wireless Feedback Control with Variable Packet Length for Industrial IoT. - Arthur Cerveira, Luciano Agostini, Bruno Zatt, Felipe Sampaio:
Memory Assessment of Versatile Video Coding. - Amit Kulkarni, Monica Chiosa, Thomas B. Preußer, Kaan Kara, David Sidler, Gustavo Alonso:
HyperLogLog Sketch Acceleration on FPGA. - Daniel Fernández-González, Carlos Gómez-Rodríguez:
Enriched In-Order Linearization for Faster Sequence-to-Sequence Constituent Parsing. - Yangguang Yu, Xiangke Wang, Zhiyong Sun, Lincheng Shen:
Optimal control of nonlinear partially-unknown systems with unsymmetrical input constraints and its applications to the optimal UAV circumnavigation problem. - Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing. - Lasse Hansen, Mattias P. Heinrich:
Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings. - Ivan Homoliak, Pawel Szalachowski:
Aquareum: A Centralized Ledger Enhanced with Blockchain and Trusted Computing. - Malte Ostendorff, Till Blume, Saskia Ostendorff:
Towards an Open Platform for Legal Information. - Daniel Fernández-González, Carlos Gómez-Rodríguez:
Transition-based Semantic Dependency Parsing with Pointer Networks. - Marcus J. Grote, Simon Michel, Stefan A. Sauter:
Stabilized leapfrog based local time-stepping method for the wave equation. - Youri Raaijmakers, Sem C. Borst, Onno J. Boxma:
Threshold-based rerouting and replication for resolving job-server affinity relations. - Cameron Trotter, Georgia Atkinson, Matthew Sharpe, Kirsten Richardson, A. Stephen McGough, Nick Wright, Ben Burville, Per Berggren:
NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation. - Edison Marrese-Taylor, Cristian Rodriguez Opazo, Jorge A. Balazs, Stephen Gould, Yutaka Matsuo:
A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews. - Zhuoying Wang, Yongtao Wang, Zhi Tang, Yangyan Li, Ying Chen, Haibin Ling, Weisi Lin:
GSTO: Gated Scale-Transfer Operation for Multi-Scale Feature Learning in Pixel Labeling. - Jingyang Zhang, Guotai Wang, Hongzhi Xie, Shuyang Zhang, Ning Huang, Shaoting Zhang, Lixu Gu:
Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation. - Francesco Zola, Jan Lukas Bruse, Xabier Etxeberria Barrio, Mikel Galar, Raul Orduna Urrutia:
Generative Adversarial Networks for Bitcoin Data Augmentation. - Mahyar Tourchi Moghaddam:
IoT-based Emergency Evacuation Systems. - Fang Yu, Daowen Qiu, Xiaoming Wang, Qin Li, Lvzhou Li, Jozef Gruska:
Security Improvements of Several Basic Quantum Private Query Protocols with O(log N) Communication Complexity. - Ivan G. Graham, Owen R. Pembery, Euan A. Spence:
Analysis of a Helmholtz preconditioning problem motivated by uncertainty quantification. - Lasha Abzianidze, Rik van Noord, Hessel Haagsma, Johan Bos:
The First Shared Task on Discourse Representation Structure Parsing. - Byunghyun Ban, Donghun Ryu, Minwoo Lee:
Pan-artifact Removing with Deep Learning, on ISEs. - Pratik Mazumder, Pravendra Singh, Kranti Kumar Parida, Vinay P. Namboodiri:
AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings. - Xun Zou, Mehdi Ganji, Hamid Jafarkhani:
Downlink Asynchronous Non-Orthogonal Multiple Access with Quantizer Optimization. - Benjamin Laufer:
Compounding Injustice: History and Prediction in Carceral Decision-Making. - Sebastian Jaszczur, Michal Luszczyk, Henryk Michalewski:
Neural heuristics for SAT solving. - Amir Feder, Nadav Oved, Uri Shalit, Roi Reichart:
CausaLM: Causal Model Explanation Through Counterfactual Language Models. - Saeed Nejati, Vijay Ganesh:
CDCL(Crypto) SAT Solvers for Cryptanalysis. - Derek Onken, Lars Ruthotto:
Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows. - Johan Bos, Lasha Abzianidze:
Thirty Musts for Meaning Banking. - Yunlei Tang, Sebastian Dorn, Chiragkumar Savani:
Center3D: Center-based Monocular 3D Object Detection with Joint Depth Understanding. - Martin Karp, Niclas Jansson, Artur Podobas, Philipp Schlatter, Stefano Markidis:
Optimization of Tensor-product Operations in Nekbone on GPUs. - Tong Zhou:
Structure Identifiability of an NDS with LFT Parametrized Subsystems. - Wenjie Xiong, Jakub Szefer:
Survey of Transient Execution Attacks. - Alfonso Santiago, Miguel Zavala-Aké, Ricard Borell, Guillaume Houzeaux, Mariano Vázquez:
HPC compact quasi-Newton algorithm for interface problems. - Frank Lemmer, Wei Yu, Kolja Müller, Po Wen Cheng:
Semi-Submersible Wind Turbine Hull Shape Design for a Favorable System Response Behavior. - Shahriar Yazdipour:
Github Data Exposure and Accessing Blocked Data using the GraphQL Security Design Flaw. - Homa Esfahanizadeh, Eshed Ram, Yuval Cassuto, Lara Dolecek:
Spatially Coupled Codes with Sub-Block Locality: Joint Finite Length-Asymptotic Design Approach. - Jingping Qiao, Mohamed-Slim Alouini:
Secure Transmission for Intelligent Reflecting Surface-Assisted mmWave and Terahertz Systems. - Dong Wang, Kexin Zhang, Jia Ding, Liwei Wang:
Improve bone age assessment by learning from anatomical local regions. - Anhad Mohananey, Katharina Kann, Samuel R. Bowman:
Self-Training for Unsupervised Parsing with PRPN. - Jeff Burdges, Alfonso Cevallos, Peter Czaban, Rob Habermeier, Syed Hosseini, Fabio Lama, Handan Kilinç Alper, Ximin Luo, Fatemeh Shirazi, Alistair Stewart, Gavin Wood:
Overview of Polkadot and its Design Considerations. - Sergio M. Martin, Daniel Wälchli, Georgios Arampatzis, Petros Koumoutsakos:
Korali: a High-Performance Computing Framework for Stochastic Optimization and Bayesian Uncertainty Quantification. - Allen Wang, Xin Huang, Ashkan Jasour, Brian C. Williams:
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures. - Julio Michael Stern, Carlos Alberto De Bragança Pereira, Celma de Oliveira Ribeiro, Cibele Dunder, Fábio Nakano, Marcelo de S. Lauretto:
Otimizacao e Processos Estocasticos Aplicados a Economia e Financas. - Moonseop Kim, Guang Lin:
Peri-Net-Pro: The neural processes with quantified uncertainty for crack patterns. - Luis Vargas, Patrick Emami, Patrick Traynor:
On the Detection of Disinformation Campaign Activity with Network Analysis. - Stefano Dalla Palma, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri:
Towards a Catalogue of Software Quality Metrics for Infrastructure Code. - Luis A. Leiva, Radu-Daniel Vatavu, Daniel Martín-Albo, Réjean Plamondon:
Omnis Prædictio: Estimating the Full Spectrum of Human Performance with Stroke Gestures. - Lipo Mo, Yongguang Yu:
Constrained H-infinity Consensus with Nonidentical Constraints. - Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom:
Syntactic Structure Distillation Pretraining For Bidirectional Encoders. - Pradeep Reddy Raamana:
Kernel methods library for pattern analysis and machine learning in python. - Ruisheng Cao, Su Zhu, Chenyu Yang, Chen Liu, Rao Ma, Yanbin Zhao, Lu Chen, Kai Yu:
Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing. - Lixing Zhu, Yulan He, Deyu Zhou:
Neural Temporal Opinion Modelling for Opinion Prediction on Twitter. - Markus Borg:
Making Lab Sessions Mandatory - On Student Work Distribution in a Gamified Project Course on Market-Driven Software Engineering. - Petr Kuznetsov, Andrei Tonkikh:
Asynchronous Reconfiguration with Byzantine Failures. - Jeremy Georges-Filteau, Elisa Cirillo:
Generative Adversarial Networks Applied to Observational Health Data. - Kaustubh Hiware, Ritam Dutt, Sayan Sinha, Sohan Patro, Kripabandhu Ghosh, Saptarshi Ghosh:
NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities. - Aayush Bansal, Minh Vo, Yaser Sheikh, Deva Ramanan, Srinivasa G. Narasimhan:
4D Visualization of Dynamic Events from Unconstrained Multi-View Videos. - Mohammad Saiedur Rahaman, Jonathan Liono, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Flora D. Salim:
An Ambient-Physical System to Infer Concentration in Open-plan Workplace. - Maria Han Veiga, David A. Velasco-Romero, Quentin Wenger, Romain Teyssier:
An arbitrary high-order Spectral Difference method for the induction equation. - Chundra Aroor Cathcart, Florian Wandl:
In search of isoglosses: continuous and discrete language embeddings in Slavic historical phonology. - Robin Rombach, Patrick Esser, Björn Ommer:
Network Fusion for Content Creation with Conditional INNs. - Tristan Stérin, Damien Woods:
Limitations on counting in Boolean circuits and self-assembly. - Andrea Clementi, Emanuele Natale, Isabella Ziccardi:
Parallel Load Balancing on Constrained Client-Server Topologies. - Han Lin, Haoxian Chen, Tianyi Zhang, Clement Laroche, Krzysztof Choromanski:
Demystifying Orthogonal Monte Carlo and Beyond. - Vahraz Jamnejad, Ahmad Hoorfar:
Antenna Optimization Using a New Evolutionary Algorithm Based on Tukey-Lambda Probability Distribution. - José Diogo Forte de Oliveira Luna, Guilherme Nascimento Gouvêa dos Reis, Paulo Renato da Costa Mendes, Julio Elias Normey-Rico:
Characterizing Quality of Experience for Demand Management in South Brazil. - L. R. D. Murthy, Abhishek Mukhopadhyay, Varshit Yellheti, Somnath Arjun, Peter Thomas, M. Dilli Babu, Kamalpreet Singh Saluja, Jeevithashree D. V., Pradipta Biswas:
Eye Gaze Controlled Interfaces for Head Mounted and Multi-Functional Displays in Military Aviation Environment. - Eric M. S. P. Veith, Nils Wenninghoff, Emilie Frost:
The Adversarial Resilience Learning Architecture for AI-based Modelling, Exploration, and Operation of Complex Cyber-Physical Systems. - Andrei Arusoaie:
Certifying Findel Derivatives for Blockchain. - Yurun Tian, Vassileios Balntas, Tony Ng, Axel Barroso Laguna, Yiannis Demiris, Krystian Mikolajczyk:
D2D: Keypoint Extraction with Describe to Detect Approach. - Daniele Di Tullio, Manoj Gyawali:
A post-quantum key exchange protocol from the intersection of quadric surfaces. - Syed Muhammad Hur Rizvi, Pratim Kundu, Anurag K. Srivastava:
Hybrid Voltage Stability and Security Assessment using Synchrophasors with Consideration of Generator Q-limits. - Lulu Ge, Keshab K. Parhi:
Molecular MUX-Based Physical Unclonable Functions. - Brian Cheang, Bailey Wei, David Kogan, Howey Qiu, Masud Ahmed:
Language Representation Models for Fine-Grained Sentiment Classification. - Peter G. Boyvalenkov, Konstantin Delchev, Dmitrii V. Zinoviev, Victor A. Zinoviev:
On two-weight codes. - Justin K. Terry, Nathaniel Grammel, Sanghyun Son, Benjamin Black:
Parameter Sharing For Heterogeneous Agents in Multi-Agent Reinforcement Learning. - Christos Koufogiannakis, Neal E. Young:
Distributed algorithms for covering, packing and maximum weighted matching. - Johannes Schneider, Michalis Vlachos:
Explaining Neural Networks by Decoding Layer Activations. - Farzin Houshmand, Mohsen Lesani, Keval Vora:
GraFS: Graph Analytics Fusion and Synthesis. - Diego P. Rubert, Eloi Araujo, Marco Aurelio Stefanes, Jens Stoye, Fábio Viduani Martinez:
On motifs in colored graphs. - Johannes Schneider, Frank Breitinger:
Towards AI Forensics: Did the Artificial Intelligence System Do It? Why? - Zhongjie Yu, Sebastian Raschka:
Looking back to lower-level information in few-shot learning. - Kelvin K. Kan, Samy Wu Fung, Lars Ruthotto:
PNKH-B: A Projected Newton-Krylov Method for Large-Scale Bound-Constrained Optimization. - Qi Fu, Elizabeth Bent, James Borneman, Marek Chrobak, Neal E. Young:
Algorithmic approaches to selecting control clones in DNA array hybridization experiments. - Milan Lukic, Srdjan Sobot, Ivan Mezei, Dragan Danilovic, Dejan Vukobratovic:
In-depth Real-World Evaluation of NB-IoT Module Energy Consumption. - Abdulaziz Alaboudi, Thomas D. LaToza:
Using Hypotheses as a Debugging Aid. - Ziga Luksic, Matija Pretnar:
Local Algebraic Effect Theories. - Alejandro Acien, Aythami Morales, Julian Fiérrez, Rubén Vera-Rodríguez, Oscar Delgado-Mohatar:
BeCAPTCHA: Bot Detection in Smartphone Interaction using Touchscreen Biometrics and Mobile Sensors. - Jakob R. Elias, Ryan Chard, Joseph A. Libera, Ian T. Foster, Santanu Chaudhuri:
The Manufacturing Data and Machine Learning Platform: Enabling Real-time Monitoring and Control of Scientific Experiments via IoT. - Elizabeth Salesky, Alan W. Black:
Phone Features Improve Speech Translation. - Ameer Haj-Ali, Hasan Genc, Qijing Huang, William S. Moses, John Wawrzynek, Krste Asanovic, Ion Stoica:
ProTuner: Tuning Programs with Monte Carlo Tree Search. - Kaize Ding, Kai Shu, Yichuan Li, Amrita Bhattacharjee, Huan Liu:
Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics. - Primavera De Filippi, Seth Frey, Nathan Schneider, Joshua Z. Tan, Amy X. Zhang:
Modular Politics: Toward a Governance Layer for Online Communities. - Shahbaz Rezaei, Xin Liu:
Towards the Infeasibility of Membership Inference on Deep Models. - Hsin-Min Cheng, Dezhen Song:
Graph-based Proprioceptive Localization Using a Discrete Heading-Length Feature Sequence Matching Approach. - Zhuotun Zhu, Ke Yan, Dakai Jin, Jinzheng Cai, Tsung-Ying Ho, Adam P. Harrison, Dazhou Guo, Chun-Hung Chao, Xianghua Ye, Jing Xiao, Alan L. Yuille, Le Lu:
Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification. - Bilian Chen, Biyang Ma, Yifeng Zeng, Langcai Cao, Jing Tang:
Tensor Decomposition for Multi-agent Predictive State Representation. - Tianyang Xu, Zhenhua Feng, Xiao-Jun Wu, Josef Kittler:
AFAT: Adaptive Failure-Aware Tracker for Robust Visual Object Tracking. - Andreas Koenzen, Neil A. Ernst, Margaret-Anne D. Storey:
Code Duplication and Reuse in Jupyter Notebooks. - Elisabet Burjons, Fabian Frei, Martin Raszyk:
From Functional Nondeterministic Transducers to Deterministic Two-Tape Automata. - Hanwen Yao, Arman Fazeli, Alexander Vardy:
List Decoding of Arikan's PAC Codes. - Han Qiu, Yi Zeng, Qinkai Zheng, Tianwei Zhang, Meikang Qiu, Gérard Memmi:
Mitigating Advanced Adversarial Attacks with More Advanced Gradient Obfuscation Techniques. - Bo Liu, Hao Kang, Haoxiang Li, Gang Hua, Nuno Vasconcelos:
Few-Shot Open-Set Recognition using Meta-Learning. - Yiwei Chen, Jingwen Qian, Junming Wang, Lirong Xia, Gavriel Zahavi:
OPRA: An Open-Source Online Preference Reporting and Aggregation System. - Luciano Panek, Nayene Michele Paião Panek:
Optimal Anticodes, Diameter Perfect Codes, Chains and Weights. - Alexander Wei:
Better and Simpler Learning-Augmented Online Caching. - Hyuntae Cho, Yesom Park, Myungjoo Kang:
A second-order accurate semi-Lagrangian method for convection-diffusion equations with interfacial jumps. - Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck:
Operationalizing the Legal Principle of Data Minimization for Personalization. - Digvijay Katyal, Pooja Nayak M, B. Sundar Rajan:
Multi-access Coded Caching Schemes From Cross Resolvable Designs. - Satoshi Hashimoto, Yonghoon Ji, Kenichi Kudo, Takayuki Takahashi, Kazunori Umeda:
Anomaly Detection Based on Deep Learning Using Video for Prevention of Industrial Accidents. - Arash Fayyazi, Shahin Nazarian, Massoud Pedram:
Logic Verification of Ultra-Deep Pipelined Beyond-CMOS Technologies. - Tunai Porto Marques, Alexandra Branzan Albu:
L^2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion. - Kai-Kit Wong, Arman Shojaeifard, Kin-Fai Tong, Yangyang Zhang:
Performance Limits of Fluid Antenna Systems. - Ashraf Tantawy, Abdelkarim Erradi, Sherif Abdelwahed, Khaled B. Shaban:
Model-Based Risk Assessment for Cyber Physical Systems Security. - Konstantinos Psychas, Javad Ghaderi:
A Theory of Auto-Scaling for Resource Reservation in Cloud Services. - Ke Hu, Ashfaqur Rahman, Hassan Habibi Gharakheili, Vijay Sivaraman:
HazeDose: Design and Analysis of a Personal Air Pollution Inhaled Dose Estimation System using Wearable Sensors. - Yinan Wang, Weihong Guo, Xiaowei Yue:
CPAC-Conv: CP-decomposition to Approximately Compress Convolutional Layers in Deep Learning. - Shuangyi Wang, Xilong Hou, Richard James Housden, Zengguang Hou, Davinder Singh, Kawal S. Rhode:
IoT-based Remote Control Study of a Robotic Trans-esophageal Ultrasound Probe via LAN and 5G. - Iraklis Moutidis, Hywel T. P. Williams:
Complex networks for event detection in heterogeneous high volume news streams. - Ke Yan, Jinzheng Cai, Adam P. Harrison, Dakai Jin, Jing Xiao, Le Lu:
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets. - Pai Chet Ng, Petros Spachos, Konstantinos N. Plataniotis:
COVID-19 and Your Smartphone: BLE-based Smart Contact Tracing. - Katharina Kann, Arya McCarthy, Garrett Nicolai, Mans Hulden:
The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion. - Yoshihiro Nakano:
Stereo Vision Based Single-Shot 6D Object Pose Estimation for Bin-Picking by a Robot Manipulator. - Maofan Yin, Hongbo Zhang, Robbert van Renesse, Emin Gün Sirer:
CedrusDB: Persistent Key-Value Store with Memory-Mapped Lazy-Trie. - Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Elisa Canzani, Babak Hodjat:
From Prediction to Prescription: AI-Based Optimization of Non-Pharmaceutical Interventions for the COVID-19 Pandemic. - Joachim Gudmundsson, Michael Horton, John Pfeifer, Martin P. Seybold:
A Practical Index Structure Supporting Fréchet Proximity Queries Among Trajectories. - Parth Chadha:
Domain Knowledge Integration By Gradient Matching For Sample-Efficient Reinforcement Learning. - Dharani Punithan, Byoung-Tak Zhang:
Pattern Denoising in Molecular Associative Memory using Pairwise Markov Random Field Models. - Ali Ahmadvand, Surya Kallumadi, Faizan Javed, Eugene Agichtein:
JointMap: Joint Query Intent Understanding For Modeling Intent Hierarchies in E-commerce Search. - Leyla Roohi, Benjamin I. P. Rubinstein, Vanessa Teague:
Assessing Centrality Without Knowing Connections. - Ioannis Z. Koukoutsidis:
Age of Information in a network of queues. - Wanjing Wei, Yangzihao Wang, Pin Gao, Shijie Sun, Donghai Yu:
A Distributed Multi-GPU System for Large-Scale Node Embedding at Tencent. - Mohamed I. Ibrahem, Mahmoud Nabil, Mostafa M. Fouda, Mohamed Mahmoud, Waleed Alasmary, Fawaz Alsolami:
Efficient Privacy-Preserving Electricity Theft Detection with Dynamic Billing and Load Monitoring for AMI Networks. - Zejiang Hou, Sun-Yuan Kung:
A Feature-map Discriminant Perspective for Pruning Deep Neural Networks. - Michael Shin, Eduardo Castillo, Irene Font Peradejordi, Shobhna Jayaraman:
3D human pose estimation with adaptive receptive fields and dilated temporal convolutions. - Ali Ahmadvand, Harshita Sahijwani, Jason Ingyu Choi, Eugene Agichtein:
ConCET: Entity-Aware Topic Classification for Open-Domain Conversational Agents. - Amitojdeep Singh, Sourya Sengupta, Vasudevan Lakshminarayanan:
Explainable deep learning models in medical image analysis. - Ali Ahmadvand, Harshita Sahijwani, Eugene Agichtein:
Would you Like to Talk about Sports Now? Towards Contextual Topic Suggestion for Open-Domain Conversational Agents. - Ali Ahmadvand, Jason Ingyu Choi, Eugene Agichtein:
Contextual Dialogue Act Classification for Open-Domain Conversational Agents. - Ali Ahmadvand:
User Intent Inference for Web Search and Conversational Agents. - Ziv Vasilisky, Moshe Tennenholtz, Oren Kurland:
Studying Ranking-Incentivized Web Dynamics. - Thomas Studer:
No-Go Theorems for Data Privacy. - Ram Govind Singh, Sushmita Ruj:
A Technical Look At The Indian Personal Data Protection Bill. - Ahmed Shafee, Mostafa M. Fouda, Mohamed Mahmoud, Waleed Alasmary, Abdulah Jeza Aljohani, Fathi Amsaad:
Detection of Lying Electrical Vehicles in Charging Coordination Application Using Deep Learning. - Georgios Karachalias, Matija Pretnar, Amr Hany Saleh, Stien Vanderhallen, Tom Schrijvers:
Explicit Effect Subtyping. - Nam Ho-Nguyen, Stephen J. Wright:
Adversarial Classification via Distributional Robustness with Wasserstein Ambiguity. - Michael Baddeley, Carlo Alberto Boano, Antonio Escobar-Molero, Ye Liu, Xiaoyuan Ma, Usman Raza, Kay Römer, Markus Schuß, Aleksandar Stanoev:
The Impact of the Physical Layer on the Performance of Concurrent Transmissions. - Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Chang Xu:
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples. - Behnam Pourghassemi, Chenghao Zhang, Joo Hwan Lee, Aparna Chandramowlishwaran:
Brief Announcement: On the Limits of Parallelizing Convolutional Neural Networks on GPUs. - Jakob Bossek, Frank Neumann, Pan Peng, Dirk Sudholt:
More Effective Randomized Search Heuristics for Graph Coloring Through Dynamic Optimization. - Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang:
Boosting Few-Shot Learning With Adaptive Margin Loss. - Mittul Singh, Sami Virpioja, Peter Smit, Mikko Kurimo:
Subword RNNLM Approximations for Out-Of-Vocabulary Keyword Search. - Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
A Re-visit of the Popularity Baseline in Recommender Systems. - Dong Bok Lee, Seanie Lee, Woo Tae Jeong, Donghwan Kim, Sung Ju Hwang:
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs. - Adeel Malik, Berksan Serbetci, Emanuele Parrinello, Petros Elia:
Fundamental Limits of Stochastic Caching Networks. - Pepe Vila, Andreas Abel, Marco Guarnieri, Boris Köpf, Jan Reineke:
Flushgeist: Cache Leaks from Beyond the Flush. - Hartmut Surmann, Christian Jestel, Robin Marchel, Franziska Musberg, Houssem Elhadj, Mahbube Ardani:
Deep Reinforcement learning for real autonomous mobile robot navigation in indoor environments. - Jan Kristanto Wibisono, Hsueh-Ming Hang:
Traditional Method Inspired Deep Neural Network for Edge Detection. - Aron Wussler:
Mitigating TLS compromise with ECDHE and SRP. - Jakob Bossek, Christian Grimme, Günter Rudolph, Heike Trautmann:
Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. - Chenpeng Zhang, Shuai Li, Mao Ye, Ce Zhu, Xue Li:
Learning Various Length Dependence by Dual Recurrent Neural Networks. - Jakob Bossek, Christian Grimme, Heike Trautmann:
Dynamic Bi-Objective Routing of Multiple Vehicles. - Jianwei Shi, Christian Otto, Anett Hoppe, Peter Holtz, Ralph Ewerth:
Investigating Correlations of Automatically Extracted Multimodal Features and Lecture Video Quality. - Chengwai Cai, Ali Ahmadi Dastjerdi, Niranjan Saikumar, S. Hassan HosseinNia:
The optimal sequence for reset controllers. - Lehel Banjai, Christian Lubich, Joerg Nick:
Time-dependent acoustic scattering from generalized impedance boundary conditions via boundary elements and convolution quadrature. - Zhaorun Zhou, Zhenghao Shi, Mingtao Guo, Yaning Feng, Minghua Zhao:
CGGAN: A Context Guided Generative Adversarial Network For Single Image Dehazing. - Haozhe Qi, Chen Feng, Zhiguo Cao, Feng Zhao, Yang Xiao:
P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds. - Peter Hillmann, Tobias Uhlig, Gabi Dreo Rodosek, Oliver Rose:
Simulation and Optimization of Content Delivery Networks considering User Profiles and Preferences of Internet Service Providers. - Cedomir Stefanovic, H. Murat Gürsu, Yash Deshpande, Wolfgang Kellerer:
Analysis of Tree-Algorithms with Multi-Packet Reception. - Sebastian Hönel, Morgan Ericsson, Welf Löwe, Anna Wingkvist:
Using Source Code Density to Improve the Accuracy of Automatic Commit Classification into Maintenance Activities. - Peter Hillmann, Tobias Uhlig, Gabi Dreo Rodosek, Oliver Rose:
Modeling the Location Selection of Mirror Servers in Content Delivery Networks. - Bernhard C. Geiger, Ali Al-Bashabsheh:
On Functions of Markov Random Fields. - Ramesh K. Jallu, Sangram Kishor Jena, Gautam K. Das:
Liar's Domination in Unit Disk Graphs. - Jakub Dargaj, Jakob Grue Simonsen:
A Complete Characterization of Infinitely Repeated Two-Player Games having Computable Strategies with no Computable Best Response under Limit-of-Means Payoff. - Ferdaous Idlahcen, Mohamed Majid Himmi, Abdelhak Mahmoudi:
CNN-based Approach for Cervical Cancer Classification in Whole-Slide Histopathology Images. - Benedikt T. Boenninghoff, Steffen Zeiler, Robert M. Nickel, Dorothea Kolossa:
Variational Autoencoder with Embedded Student-t Mixture Model for Authorship Attribution. - Ronny Hug, Stefan Becker, Wolfgang Hübner, Michael Arens:
Quantifying the Complexity of Standard Benchmarking Datasets for Long-Term Human Trajectory Prediction. - Nick Brettell, Matthew Johnson, Giacomo Paesani, Daniël Paulusma:
Computing Subset Transversals in H-Free Graphs. - Lihua Zhou, Mao Ye, Xinpeng Li, Ce Zhu, Yiguang Liu, Xue Li:
Disentanglement Then Reconstruction: Learning Compact Features for Unsupervised Domain Adaptation. - Patrick Kidger, James Morrill, Terry J. Lyons:
Generalised Interpretable Shapelets for Irregular Time Series. - Katherine Fennedy, Sylvain Malacria, Hyowon Lee, Simon T. Perrault:
Investigating Performance and Usage of Input Methods for Soft Keyboard Hotkeys. - Andriy Serdega, Dae-Shik Kim:
VMI-VAE: Variational Mutual Information Maximization Framework for VAE With Discrete and Continuous Priors. - Ciarán Dunne, J. B. Wells, Fairouz Kamareddine:
Adding an Abstraction Barrier to ZF Set Theory. - Xinpeng Li, Mao Ye, Lihua Zhou, Dan Zhang, Ce Zhu, Yiguang Liu:
Improving Generalized Zero-Shot Learning by Semantic Discriminator. - Elizabeth Salesky, Eleanor Chodroff, Tiago Pimentel, Matthew Wiesner, Ryan Cotterell, Alan W. Black, Jason Eisner:
A Corpus for Large-Scale Phonetic Typology. - Linda Erlenhov, Francisco Gomes de Oliveira Neto, Philipp Leitner:
An Empirical Study of Bots in Software Development - Characteristics and Challenges from a Practitioner's Perspective. - Christian Oliva, Luis Fernando Lago-Fernández:
Separation of Memory and Processing in Dual Recurrent Neural Networks. - Hyun Jae Cho, Madhur Behl:
Towards Automated Safety Coverage and Testing for Autonomous Vehicles with Reinforcement Learning. - Hendra Setiawan, Matthias Sperber, Udhay Nallasamy, Matthias Paulik:
Variational Neural Machine Translation with Normalizing Flows. - AKMMahbubur Rahman, A. S. M. Iftekhar Anam, Mohammed Yeasin:
Robust Modeling of Epistemic Mental States. - Weixia Zhang, Kede Ma, Guangtao Zhai, Xiaokang Yang:
Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild. - Igor Spasojevic, Varun Murali, Sertac Karaman:
Perception-aware time optimal path parameterization for quadrotors. - David Cohen, Gilles Vilmart:
Drift-preserving numerical integrators for stochastic Poisson systems. - Anahita Sanandaji, Saeed Ghanbartehrani, Zahra Mokhtari, Kimia Tajik:
A Novel Ramp Metering Approach Based on Machine Learning and Historical Data. - Yun Kuen Cheung, Georgios Piliouras:
Chaos, Extremism and Optimism: Volume Analysis of Learning in Games. - Mark T. Keane, Barry Smyth:
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI). - Madelyn Dunning, Sumit Purohit:
Higher Order Temporal Analysis of Global Terrorism Data. - Sourabh Balgi, Ambedkar Dukkipati:
Contradistinguisher: Applying Vapnik's Philosophy to Unsupervised Domain Adaptation. - Darshak Chhatbar, Umair Z. Ahmed, Purushottam Kar:
MACER: A Modular Framework for Accelerated Compilation Error Repair. - Julia Heuritsch:
Knowledge Utilization and Open Science Policies: Noble aims that ensure quality research or Ordering discoveries like a pizza? - Lukas Gebhard, Felix Hamborg:
The POLUSA Dataset: 0.9M Political News Articles Balanced by Time and Outlet Popularity. - Tajul Rosli Bin Razak, Iman Hazwam Abd Halim, Muhammad Nabil Fikri Jamaludin, Mohammad Hafiz Ismail, Shukor Sanim Mohd Fauzi:
An Exploratory Study of Hierarchical Fuzzy Systems Approach in Recommendation System. - Santhosh Rajamanickam, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova:
Joint Modelling of Emotion and Abusive Language Detection. - Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi:
Learning LWF Chain Graphs: an Order Independent Algorithm. - Jay H. Park, Gyeongchan Yun, Chang M. Yi, Nguyen T. Nguyen, Seungmin Lee, Jaesik Choi, Sam H. Noh, Young-ri Choi:
HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism. - C. Mukherjee, Marina Deng, François Marc, Cristell Maneux, Arnaud Poittevin, Ian O'Connor, Sébastien Le Beux, Abhishek Kumar, Aurélie Lecestre, Guilhem Larrieu:
3D logic cells design and results based on Vertical NWFET technology including tied compact model. - Simon Robert Arridge, Pascal Fernsel, Andreas Hauptmann:
Joint Reconstruction and Low-Rank Decomposition for Dynamic Inverse Problems. - Stefan Hochwarter, Babak A. Farshchian:
Scaling Participation - What Does the Concept of Managed Communities Offer for Participatory Design? - Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach:
Language (Technology) is Power: A Critical Survey of "Bias" in NLP. - Ferenc Béres, István András Seres, András A. Benczúr, Mikerah Quintyne-Collins:
Blockchain is Watching You: Profiling and Deanonymizing Ethereum Users. - C. J. Argue, Anupam Gupta, Guru Guruganesh:
Dimension-Free Bounds on Chasing Convex Functions. - Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Discovering Domain Orders through Order Dependencies. - Muhammad Ahmed Shah, Raphaël Olivier, Bhiksha Raj:
Exploiting Non-Linear Redundancy for Neural Model Compression. - Daniela Loreti, Marco Lippi, Paolo Torroni:
Parallelizing Machine Learning as a Service for the End-User. - Davide Ancona, Pietro Barbieri, Francesco Dagnino, Elena Zucca:
Sound Regular Corecursion in coFJ. - Kohei Nishikawa, Takahisa Toda:
Exact Method for Generating Strategy-Solvable Sudoku Clues. - Christoph Hertrich, Martin Skutella:
Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size. - Mattias P. Heinrich, Lasse Hansen:
Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Move's discrepancies. - Aminul Huq, Mst. Tasnim Pervin:
Adversarial Attacks and Defense on Texts: A Survey. - Markus Faustmann, Michael Karkulik, Jens Markus Melenk:
Local convergence of the FEM for the integral fractional Laplacian. - Mohsen Minaei, S. Chandra Mouli, Mainack Mondal, Bruno Ribeiro, Aniket Kate:
Deceptive Deletions for Protecting Withdrawn Posts on Social Platforms. - Rupert Freeman, Nisarg Shah, Rohit Vaish:
Best of Both Worlds: Ex-Ante and Ex-Post Fairness in Resource Allocation. - Yuqi Chen, Bohan Xuan, Christopher M. Poskitt, Jun Sun, Fan Zhang:
Active Fuzzing for Testing and Securing Cyber-Physical Systems. - Leon Bungert, Martin Burger, Yury Korolev, Carola-Bibiane Schoenlieb:
Variational regularisation for inverse problems with imperfect forward operators and general noise models. - Zhengdao Yuan, Qinghua Guo, Man Luo:
Approximate Message Passing with Unitary Transformation for Robust Bilinear Recovery. - Gemma De las Cuevas, Andreas Klingler, Martha Lewis, Tim Netzer:
Cats climb entails mammals move: preserving hyponymy in compositional distributional semantics. - Antonyo Musabini, Mounsif Chetitah:
Heatmap-Based Method for Estimating Drivers' Cognitive Distraction. - Huichen Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li:
QEBA: Query-Efficient Boundary-Based Blackbox Attack. - Oliver Rippel, Patrick Mertens, Dorit Merhof:
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection. - M. Bahraminasr, Alireza Vafaei Sadr:
IMDb data from two generations (1979 to 2019). Part one: Dataset. - Yishai Oltchik, Oded Schwartz:
Network Partitioning and Avoidable Contention. - Mohammad Sina Kiarostami, Saleh Khalaj Monfared, Mohammad Reza Daneshvaramoli, Ali Oliayi, Negar Yousefian, Dara Rahmati, Saeid Gorgin:
Unlucky Explorer: A Complete non-Overlapping Map Exploration. - Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei:
Language Models are Few-Shot Learners. - Longlong Jing, Yucheng Chen, Ling Zhang, Mingyi He, Yingli Tian:
Self-supervised Modal and View Invariant Feature Learning. - Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang, Yong Yu:
User Behavior Retrieval for Click-Through Rate Prediction. - Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han:
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing. - Adil I. Erzin, Gregory Melidi, Stepan Nazarenko, Roman V. Plotnikov:
Two-Bar Charts Packing Problem. - Bo Wang, Zhiguo Yang, Li-lian Wang, Shidong Jiang:
On time-domain NRBC for Maxwell's equations and its application in accurate simulation of electromagnetic invisibility cloaks. - Benjamin Ortiz, Laura H. Kahn, Marc Bosch, Philip Bogden, Viveca Pavon-Harr, Onur Savas, Ian McCulloh:
Improving Community Resiliency and Emergency Response With Artificial Intelligence. - Yifan Dai, Yien Xu, Aishwarya Ganesan, Ramnatthan Alagappan, Brian Kroth, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau:
Learning How To Learn Within An LSM-based Key-Value Store. - Saikat Dutta:
Depth-aware Blending of Smoothed Images for Bokeh Effect Generation. - Ruma Rani Maity, Apala Majumdar, Neela Nataraj:
A priori and a posteriori error analysis for the Nitsche's method of a reduced Landau-de Gennes problem. - Emna Zedini, Abla Kammoun, Mohamed-Slim Alouini:
Performance of Multibeam Very High Throughput Satellite Systems Based on FSO Feeder Links with HPA Nonlinearity. - Arsham Mostaani, Thang X. Vu, Symeon Chatzinotas, Björn E. Ottersten:
Task-Based Information Compression for Multi-Agent Communication Problems with Channel Rate Constraints. - Özge Nilay Yalçin, Nouf Abukhodair, Steve DiPaola:
Empathic AI Painter: A Computational Creativity System with Embodied Conversational Interaction. - Celso A. M. Lopes Junior, Matheus Henrique M. da Silva, Byron Leite Dantas Bezerra, Bruno José Torres Fernandes, Donato Impedovo:
FCN+RL: A Fully Convolutional Network followed by Refinement Layers to Offline Handwritten Signature Segmentation. - Marc Chalé, Nathaniel D. Bastian, Jeffery Weir:
Algorithm Selection Framework for Cyber Attack Detection. - Stefan Hochwarter, Salla Atkins, Vinod K. Diwan, Nabil Zary:
Use and Adaptation of Open Source Software for Capacity Building to Strengthen Health Research in Low- and Middle-Income Countries. - Muhammad Ahmad:
Fuzziness-based Spatial-Spectral Class Discriminant Information Preserving Active Learning for Hyperspectral Image Classification. - Jiuwen Zhu, Hu Han, S. Kevin Zhou:
Human Recognition Using Face in Computed Tomography. - James Walden:
The Impact of a Major Security Event on an Open Source Project: The Case of OpenSSL. - Stefan Hochwarter, Do Duy Cuong, Nguyen Thi Kim Chuc, Mattias Larsson:
Towards an Electronic Health Record System in Vietnam: A Core Readiness Assessment. - Rui Ouyang, Robert D. Howe:
Low-Cost Fiducial-based 6-Axis Force-Torque Sensor. - Thibault Févry, Nicholas FitzGerald, Livio Baldini Soares, Tom Kwiatkowski:
Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking. - Jie Zou, Yifan Chen, Evangelos Kanoulas:
Towards Question-based Recommender Systems. - Sha Yuan, Zhou Shao, Yu Zhang, Xingxing Wei, Tong Xiao, Yifan Wang, Jie Tang:
Attention: to Better Stand on the Shoulders of Giants. - Elizabeth A. Holm, Ryan Cohn, Nan Gao, Andrew R. Kitahara, Thomas P. Matson, Bo Lei, Srujana Rao Yarasi:
Overview: Computer vision and machine learning for microstructural characterization and analysis. - Wentong Liao, Xiang Chen, Jingfeng Yang, Stefan Roth, Michael Goesele, Michael Ying Yang, Bodo Rosenhahn:
LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery. - Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Prasad Tadepalli:
Relation Extraction with Explanation. - Rafael Belchior, André Vasconcelos, Sérgio Guerreiro, Miguel Correia:
A Survey on Blockchain Interoperability: Past, Present, and Future Trends. - Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Andreas Dengel, Faisal Shafait, Wolfgang Neumeier, Sheraz Ahmed:
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning. - Naoto Usuyama, Natalia Larios Delgado, Amanda K. Hall, Jessica Lundin:
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification. - Hamidreza Abin, Amin Gohari, Masoumeh Nasiri-Kenari:
An Analytical Model for Molecular Communication over a Non-linear Reaction-Diffusion Medium. - Oskar Wysocki, Malina Florea, André Freitas:
What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP. - Alwyn Mathew, Aditya Prakash Patra, Jimson Mathew:
Monocular Depth Estimators: Vulnerabilities and Attacks. - Emad Aghayi:
Large-Scale Microtask Programming. - Muhammad Naseer Bajwa, Yoshinobu Taniguchi, Muhammad Imran Malik, Wolfgang Neumeier, Andreas Dengel, Sheraz Ahmed:
Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection. - Zhibo Yang, Lihan Huang, Yupei Chen, Zijun Wei, Seoyoung Ahn, Gregory J. Zelinsky, Dimitris Samaras, Minh Hoai:
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning. - Md Omar Faruk Rokon, Risul Islam, Ahmad Darki, Vagelis Papalexakis, Michalis Faloutsos:
SourceFinder: Finding Malware Source-Code from Publicly Available Repositories. - Alwyn Mathew, Aditya Prakash Patra, Jimson Mathew:
Self-Attention Dense Depth Estimation Network for Unrectified Video Sequences. - Nikita Moghe, Priyesh Vijayan, Balaraman Ravindran, Mitesh M. Khapra:
On Incorporating Structural Information to improve Dialogue Response Generation. - Alvaro Pastor:
Augmenting reality: On the shared history of perceptual illusion and video projection mapping. - Pavel Jahoda, Igor Drozdovskiy, Francesco Sauro, Leonardo Turchi, Samuel Payler, Loredana Bessone:
Machine Learning for recognition of minerals from multispectral data. - Sonia Marin, Luiz Carlos Pereira, Elaine Pimentel, Emerson Sales:
Ecumenical modal logic. - Sainyam Galhotra, Donatella Firmani, Barna Saha, Divesh Srivastava:
Efficient and Effective ER with Progressive Blocking. - Kamil Khadiev, Vladislav Remidovskii:
Classical and Quantum Algorithms for Constructing Text from Dictionary Problem. - Ramiro Acevedo, Christian Gómez, Bibiana López-Rodríguez:
Fully-discrete finite element approximation for a family of degenerate parabolic problems. - Emily Tseng, Rosanna Bellini, Nora McDonald, Matan Danos, Rachel Greenstadt, Damon McCoy, Nicola Dell, Thomas Ristenpart:
The Tools and Tactics Used in Intimate Partner Surveillance: An Analysis of Online Infidelity Forums. - Baani Leen Kaur Jolly, Lavina Jain, Debajyoti Bera, Tanmoy Chakraborty:
Unsupervised Anomaly Detection in Journal-Level Citation Networks. - Pieter van Goor, Robert E. Mahony, Tarek Hamel, Jochen Trumpf:
An Observer Design for Visual Simultaneous Localisation and Mapping with Output Equivariance. - Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik:
UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content. - Yan Min, Mao Ye, Liang Tian, Yulin Jian, Ce Zhu, Shangming Yang:
Unsupervised Feature Selection via Multi-step Markov Transition Probability. - Deok-Kyeong Jang, Sung-Hee Lee:
Constructing Human Motion Manifold with Sequential Networks. - Chao Liu, Xin Xia, David Lo, Zhiwei Liu, Ahmed E. Hassan, Shanping Li:
Simplifying Deep-Learning-Based Model for Code Search. - Kiattikun Chobtham, Anthony C. Constantinou:
Bayesian network structure learning with causal effects in the presence of latent variables. - Alireza Vahid, Shih-Chun Lin, I-Hsiang Wang:
Erasure Broadcast Channels with Intermittent Feedback. - Ruotian Luo, Greg Shakhnarovich:
Controlling Length in Image Captioning. - Sundara Rajan Srinivasavaradhan, Michelle Du, Suhas N. Diggavi, Christina Fragouli:
Algorithms for reconstruction over single and multiple deletion channels. - Harim Lee, Myeung Un Kim, Yeong-Jun Kim, Hyeonsu Lyu, Hyun Jong Yang:
Privacy-Protection Drone Patrol System based on Face Anonymization. - Nikhil Das, Michael C. Yip:
Stochastic Modeling of Distance to Collision for Robot Manipulators. - Damian Bogunowicz, Aleksandr Rybnikov, Komal Vendidandi, Fedor Chervinskii:
Sim2Real for Peg-Hole Insertion with Eye-in-Hand Camera. - Guangfeng Lin, XiaoBing Kang, Kaiyang Liao, Fan Zhao, Yajun Chen:
Deep graph learning for semi-supervised classification. - Komal Chugh, Parul Gupta, Abhinav Dhall, Ramanathan Subramanian:
Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization. - Marcus Hörger, Hanna Kurniawati, Alberto Elfes:
Non-Linearity Measure for POMDP-based Motion Planning. - Alexander P. Kartun-Giles, Konstantinos Koufos, Xiao Lu, Nicolas Privault, Dusit Niyato:
Two-Hop Connectivity to the Roadside in a VANET Under the Random Connection Model. - Deepak Muralidharan, Joel Ruben Antony Moniz, Sida Gao, Xiao Yang, Lin Li, Justine T. Kao, Stephen Pulman, Atish Kothari, Ray Shen, Yinying Pan, Vivek Kaul, Mubarak Seyed Ibrahim, Gang Xiang, Nan Dun, Yidan Zhou, Andy O, Yuan Zhang, Pooja Chitkara, Xuan Wang, Alkesh Patel, Kushal Tayal, Roger Zheng, Peter Grasch, Jason D. Williams:
Noise-robust Named Entity Understanding for Virtual Assistants. - Lucia Schuler, Somaya Jamil, Niklas Kühl:
AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments. - Zhe Xing, Rui Wang:
Achievable Rate Analyses and Phase Shift Optimizations on Intelligent Reflecting Surface with Hardware Impairments. - Mohammed Bahutair, Athman Bouguettaya, Azadeh Ghari Neiat:
Just-in-Time Memoryless Trust for Crowdsourced IoT Services. - Guangfeng Lin, Ying Yang, Yindi Fan, Xiaobing Kang, Kaiyang Liao, Fan Zhao:
High-order structure preserving graph neural network for few-shot learning. - Olivier Buffet, Olivier Pietquin, Paul Weng:
Reinforcement Learning. - Mao Ye, Chengyue Gong, Qiang Liu:
SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions. - Sahasrajit Sarmasarkar, Kota Srinivas Reddy, Nikhil Karamchandani:
Query complexity of heavy hitter estimation. - Spencer Frei, Yuan Cao, Quanquan Gu:
Agnostic Learning of a Single Neuron with Gradient Descent. - Raymond Leung, Alexander Lowe, Anna Chlingaryan, Arman Melkumyan, John N. Zigman:
Bayesian Surface Warping Approach For Rectifying Geological Boundaries Using Displacement Likelihood And Evidence From Geochemical Assays. - Jie Hu, Qing Wang, Kun Yang:
Energy Self-Sustainability in Full-Spectrum 6G. - Sotiris Tsioutsiouliklis, Evaggelia Pitoura, Panayiotis Tsaparas, Ilias Kleftakis, Nikos Mamoulis:
Fairness-Aware Link Analysis. - Dariusz Kominiak, Sina Sharif Mansouri, Christoforos Kanellakis, George Nikolakopoulos:
MAV Development Towards Navigation in Unknown and Dark Mining Tunnels. - Lorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti, Walter Nocentini, Duccio Fanelli:
Machine learning in spectral domain. - Ansgar Jüngel, Ulisse Stefanelli, Lara Trussardi:
A minimizing-movements approach to GENERIC systems. - Huanyu Wang, Zequn Qin, Xi Li:
Dynamic Routing with Path Diversity and Consistency for Compact Network Learning. - Ross Phillips, Heidi Wilder:
Tracing Cryptocurrency Scams: Clustering Replicated Advance-Fee and Phishing Websites. - Zhaohui Yang, Yunhe Wang, Dacheng Tao, Xinghao Chen, Jianyuan Guo, Chunjing Xu, Chao Xu, Chang Xu:
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. - Tomohiro Ono, Yuichiro Tanaka, Yutaro Ishida, Yushi Abe, Kazuki Kanamaru, Daichi Kamimura, Kentaro Nakamura, Yuta Nishimura, Shoshi Tokuno, Yuya Mii, Morio Yamauchi, Yuichiro Uemura, Takunori Hashimoto, Yugo Nakamura, Issei Uchino, Daiju Kanaoka, Takeru Hanyu, Kenta Tsukamoto, Takashi Morie, Hakaru Tamukoh:
Hibikino-Musashi@Home 2020 Team Description Paper. - Yajing Wang, Xiangke Wang, Shulong Zhao, Lincheng Shen:
A Hierarchical Collision Avoidance Architecture for Multiple Fixed-Wing UAVs in an Integrated Airspace. - Yunhe Wang, Yixing Xu, Dacheng Tao:
DC-NAS: Divide-and-Conquer Neural Architecture Search. - Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Giuseppe Caire:
Joint Approximate Covariance Diagonalization with Applications in MIMO Virtual Beam Design. - Qiufu Li, Linlin Shen:
WaveSNet: Wavelet Integrated Deep Networks for Image Segmentation. - Xiaoya Li, Mingxin Zhou, Jiawei Wu, Arianna Yuan, Fei Wu, Jiwei Li:
Analyzing COVID-19 on Online Social Media: Trends, Sentiments and Emotions. - Pengwen Chen, Chung-Kuan Cheng, Xinyuan Wang:
Arnoldi algorithms with structured orthogonalization. - Shaohuai Shi, Qiang Wang, Xiaowen Chu:
Efficient Sparse-Dense Matrix-Matrix Multiplication on GPUs Using the Customized Sparse Storage Format. - Wenwu Ye, Jin Yao, Hui Xue, Yi Li:
Weakly Supervised Lesion Localization With Probabilistic-CAM Pooling. - Patrick Wilken, Tamer Alkhouli, Evgeny Matusov, Pavel Golik:
Neural Simultaneous Speech Translation Using Alignment-Based Chunking. - Yanhao Wang, Yuchen Li, Raymond Chi-Wing Wong, Kian-Lee Tan:
A Fully Dynamic Algorithm for k-Regret Minimizing Sets. - Alexandra Bünger, Valeria Simoncini, Martin Stoll:
A low-rank matrix equation method for solving PDE-constrained optimization problems. - Kevin Fauvel, Véronique Masson, Élisa Fromont:
A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers. - Uzair Nadeem, Mohammed Bennamoun, Roberto Togneri, Ferdous Sohel:
Unconstrained Matching of 2D and 3D Descriptors for 6-DOF Pose Estimation. - Gabriel de Albuquerque Gleizer, Manuel Mazo Jr.:
Towards Traffic Bisimulation of Linear Periodic Event-Triggered Controllers. - Duncan Deveaux, Takamasa Higuchi, Seyhan Uçar, Jérôme Härri, Onur Altintas:
A Definition and Framework for Vehicular Knowledge Networking. - Philip Blagoveschensky, Anh Huy Phan:
Deep convolutional tensor network. - Lars Fritsche, Jens Kosiol, Andy Schürr, Gabriele Taentzer:
Avoiding Unnecessary Information Loss: Correct and Efficient Model Synchronization Based on Triple Graph Grammars. - Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajadin, Nasir M. Rajpoot:
NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images. - Affan Idrees, Zahid Iqbal, Maria Ishfaq:
An Efficient Indoor Navigation Technique To Find Optimal Route For Blinds Using QR Codes. - Hengjia Wei, Xin Wang, Moshe Schwartz:
On Lattice Packings and Coverings of Asymmetric Limited-Magnitude Balls. - Mohsen Khorasany, Ali Dorri, Reza Razzaghi, Raja Jurdak:
Lightweight Blockchain Framework for Location-aware Peer-to-Peer Energy Trading. - Haijin Zeng, Xiaozhen Xie, Jifeng Ning:
Enhanced nonconvex low-rank representation for tensor completion. - Théophile Chaumont-Frelet, Alexandre Ern, Martin Vohralík:
Polynomial-degree-robust H(curl)-stability of discrete minimization in a tetrahedron. - Kévin Perrot, Pacôme Perrotin, Sylvain Sené:
Optimising attractor computation in Boolean automata networks. - Théophile Chaumont-Frelet, Alexandre Ern, Martin Vohralík:
Stable broken H(curl) polynomial extensions and p-robust quasi-equilibrated a posteriori estimators for Maxwell's equations. - William Schoenberg, Robert Eberlein:
Seamlessly Integrating Loops That Matter into Model Development and Analysis. - Zachary Sunberg, Mykel J. Kochenderfer:
Improving Automated Driving through Planning with Human Internal States. - Stefan Esser, Dirk Fahland:
Multi-Dimensional Event Data in Graph Databases. - Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation. - Yang Liu, Yichen Zhang, Kai Sun, Xiaopeng Zhao:
Adaptive Switching Control of Wind Turbine Generators for Necessary Frequency Response. - Gledson Melotti, Cristiano Premebida, Jordan J. Bird, Diego R. Faria, Nuno Gonçalves:
Probabilistic Object Classification using CNN ML-MAP layers. - Lukas Pukelis, Núria Bautista-Puig, Mykola Skrynik, Vilius Stanciauskas:
OSDG - Open-Source Approach to Classify Text Data by UN Sustainable Development Goals (SDGs). - Ngoc-Tan Nguyen, Diep N. Nguyen, Dinh Thai Hoang, Nam-Hoang Nguyen, Quoc-Tuan Nguyen, Eryk Dutkiewicz:
Energy Trading and Time Scheduling for Heterogeneous Wireless-Powered and Backscattering-based IoT Networks. - Susanne Arndt, Dieter Schnäpp:
Harbsafe-162. A Domain-Specific Data Set for the Intrinsic Evaluation of Semantic Representations for Terminological Data. - Jiska Classen, Matthias Hollick:
DEMO: Extracting Physical-Layer BLE Advertisement Information from Broadcom and Cypress Chips. - Hengyue Pan, Xin Niu, Rongchun Li, Siqi Shen, Yong Dou:
Fixed-size Objects Encoding for Visual Relationship Detection. - Jingfan Chen, Guanghui Zhu, Rong Gu, Chunfeng Yuan, Yihua Huang:
Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization. - Davide Toldo, Jiska Classen, Matthias Hollick:
DEMO: Attaching InternalBlue to the Proprietary macOS IOBluetooth Framework. - Jindan Xu, Yucheng Wang, Wei Xu, Shi Jin, Hong Shen, Xiaohu You:
On Uplink Performance of Multiuser Massive MIMO Relay Network With Limited RF Chains. - Meng Liu, Zhengyang Wang, Shuiwang Ji:
Non-Local Graph Neural Networks. - Kalyani Roy, Smit Shah, Nithish Pai, Jaidam Ramtej, Prajit Prashant Nadkarn, Jyotirmoy Banerjee, Pawan Goyal, Surender Kumar:
Using Large Pretrained Language Models for Answering User Queries from Product Specifications. - Manuel A. Roehrl, Thomas A. Runkler, Veronika Brandtstetter, Michel Tokic, Stefan Obermayer:
Modeling System Dynamics with Physics-Informed Neural Networks Based on Lagrangian Mechanics. - Ren He, Haoyu Wang, Pengcheng Xia, Liu Wang, Yuanchun Li, Lei Wu, Yajin Zhou, Xiapu Luo, Yao Guo, Guoai Xu:
Beyond the Virus: A First Look at Coronavirus-themed Mobile Malware. - Matthias Bentert, Roman Haag, Christian Hofer, Tomohiro Koana, André Nichterlein:
Parameterized Complexity of Min-Power Asymmetric Connectivity. - Ibrahim M. Alabdulmohsin:
Fair Classification via Unconstrained Optimization. - Md Gulzar Hussain, Md Rashidul Hasan, Mahmuda Rahman, Joy Protim, Sakib Al Hasan:
Detection of Bangla Fake News using MNB and SVM Classifier. - Dongyoon Shin, Hyeji Kim, Jihyuk Gong, Uijeong Jeong, Yeeun Jo, Eric Matson:
Stealth UAV through Coanda Effect. - Manuel Ruiz de Luzuriaga Peña, Isabel Muñoz Mouriño, Mercedes Bogino Larrambebere:
Los perfiles de investigación y su implantación en la Universidad Publica de Navarra. - Joana Lorenz, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro:
Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity. - Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel:
Federated Face Anti-spoofing. - Kasra Edalatnejad, Wouter Lueks, Julien Pierre Martin, Soline Ledésert, Anne L'Hôte, Bruno Thomas, Laurent Girod, Carmela Troncoso:
Datashare: A Decentralized Privacy-Preserving Search Engine for Investigative Journalists. - Luís Pedro Arrojado da Horta, João Santos Reis, Mário Pereira, Simão Melo de Sousa:
WhylSon: Proving your Michelson Smart Contracts in Why3. - Muhammad Firdaus, Raditya Muhammad, Rifqy Hakimi:
Implementation of Self-Organizing Network (SON) on Cellular Technology base on Big Data Analytic. - Ali Ibnun Nurhadi, Guntur Petrus B. K., Muhammad Firdaus, Raditya Muhammad:
A Review of Link Aggregation Control Protocol (LACP) as a Link Redundancy in SDN Based Network Using Ryu-Controller. - Takazumi Matsumoto, Jun Tani:
Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network. - Yusuke Takimoto, Yosuke Fukuchi, Shoya Matsumori, Michita Imai:
SLAM-Inspired Simultaneous Contextualization and Interpreting for Incremental Conversation Sentences. - Josef Urban, Jan Jakubuv:
First Neural Conjecturing Datasets and Experiments. - Rob van der Goot, Ahmet Üstün, Alan Ramponi, Barbara Plank:
Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP. - Philip Miller, Thorsten Hohage:
Maximal Spaces for Approximation Rates in 𝓁1-regularization. - Saar Tochner, Stefan Schmid:
On Search Friction of Route Discovery in Offchain Networks. - Mike Lambeta, Po-Wei Chou, Stephen Tian, Brian H. Yang, Benjamin Maloon, Victoria Rose Most, Dave Stroud, Raymond Santos, Ahmad Byagowi, Gregg Kammerer, Dinesh Jayaraman, Roberto Calandra:
DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation. - Christoph Martin, Meike Riebeling:
A Process for the Evaluation of Node Embedding Methods in the Context of Node Classification. - Fei Shen, Jianqing Zhu, Xiaobin Zhu, Yi Xie, Jingchang Huang:
Exploring Spatial Significance via Hybrid Pyramidal Graph Network for Vehicle Re-identification. - Thomas Hardjono, Alexander Lipton, Alex Pentland:
Wallet Attestations for Virtual Asset Service Providers and Crypto-Assets Insurance. - Prashant Kapil, Asif Ekbal, Dipankar Das:
Investigating Deep Learning Approaches for Hate Speech Detection in Social Media. - Stephen Pruett, Yale N. Patt:
Dynamic Merge Point Prediction. - Alexander O. Hultin, James A. Gopsill, Nigel Johnston, Linda B. Newnes:
A rank-3 network representation for single-affiliation systems. - Matin Macktoobian, Francesco Basciani, Denis Gillet, Jean-Paul Kneib:
Data-Driven Convergence Prediction of Astrobots Swarms. - Charles Jin, Martin C. Rinard:
Learning From Context-Agnostic Synthetic Data. - Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro:
Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models. - Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun:
PnPNet: End-to-End Perception and Prediction with Tracking in the Loop. - Marco Morik, Ashudeep Singh, Jessica Hong, Thorsten Joachims:
Controlling Fairness and Bias in Dynamic Learning-to-Rank. - Sebastian Bischoff, Niklas Deckers, Marcel Schliebs, Ben Thies, Matthias Hagen, Efstathios Stamatatos, Benno Stein, Martin Potthast:
The Importance of Suppressing Domain Style in Authorship Analysis. - Kevin Tang, Jason A. Shaw:
Prosody leaks into the memories of words. - Anamay Chaturvedi, Huy L. Nguyen, Lydia Zakynthinou:
Differentially Private Decomposable Submodular Maximization. - Gautam Kamath, Jonathan R. Ullman:
A Primer on Private Statistics. - Xiaoran Chen, Suhang You, Kerem Can Tezcan, Ender Konukoglu:
Unsupervised Lesion Detection via Image Restoration with a Normative Prior. - Su Jiang, Louis J. Durlofsky:
Data-Space Inversion Using a Recurrent Autoencoder for Time-Series Parameterization. - Anish Agarwal, Abdullah Alomar, Arnab Sarker, Devavrat Shah, Dennis Shen, Cindy Yang:
Two Burning Questions on COVID-19: Did shutting down the economy help? Can we (partially) reopen the economy without risking the second wave? - Jing Han, Kun Qian, Meishu Song, Zijiang Yang, Zhao Ren, Shuo Liu, Juan Liu, Huaiyuan Zheng, Wei Ji, Tomoya Koike, Xiao Li, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller:
An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety. - Yu Zeng, Sanaa Hamid Mohamed, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Delay Adaptation Method for Relay Assisted Optical Wireless Systems. - Rinki Gupta, Karush Suri:
Activity Detection from Wearable Electromyogram Sensors using Hidden Markov Model. - Chaoqi Yang, Ruijie Wang, Fangwei Gao, Dachun Sun, Jiawei Tang, Tarek F. Abdelzaher:
Quantifying Projected Impact of Social Distancing Policies on COVID-19 Outcomes in the US. - Alessandro Ilic Mezza, Emanuël Anco Peter Habets, Meinard Müller, Augusto Sarti:
Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching. - Thomas Flynn:
A persistent adjoint method with dynamic time-scaling and an application to mass action kinetics. - Juan B. Cabral, Felipe Ramos, Sebastián Gurovich, Pablo M. Granitto:
Automatic Catalog of RRLyrae from ~ 14 million VVV Light Curves: How far can we go with traditional machine-learning? - Prashant Khanduri, Pranay Sharma, Swatantra Kafle, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney:
Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction. - Zhaohui Yang, Mingzhe Chen, Walid Saad, Wei Xu, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui:
Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces. - Abdullah Abuolaim, Michael S. Brown:
Defocus Deblurring Using Dual-Pixel Data. - Vidyasagar Sadhu, Saman A. Zonouz, Dario Pompili:
On-board Deep-learning-based Unmanned Aerial Vehicle Fault Cause Detection and Identification. - Prafulla Dhariwal, Heewoo Jun, Christine Payne, Jong Wook Kim, Alec Radford, Ilya Sutskever:
Jukebox: A Generative Model for Music. - Yi Guo, Xinyang Zhou, Changhong Zhao, Lijun Chen, Tyler H. Summers:
Optimal Power Flow with State Estimation In-the-Loop for Distribution Networks. - Nagabhushan Somraj, Manoj Surya Kashi, S. P. Arun, Rajiv Soundararajan:
A Naturalness Evaluation Database for Video Prediction Models. - Stepan L. Kuznetsov:
Complexity of the Infinitary Lambek Calculus with Kleene Star. - Hanrui Wang, Kuan Wang, Jiacheng Yang, Linxiao Shen, Nan Sun, Hae-Seung Lee, Song Han:
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning. - Metin Öztürk, Attai Ibrahim Abubakar, Rao Naveed Bin Rais, Mona Jaber, Sajjad Hussain, Muhammad Ali Imran:
Context-Aware Wireless Connectivity and Processing Unit Optimization for IoT Networks. - Karush Suri, Rinki Gupta:
Continuous sign language recognition from wearable IMUs using deep capsule networks and game theory. - Karush Suri, Rinki Gupta:
Classification of Hand Gestures from Wearable IMUs using Deep Neural Network. - Snigdha Bhagat, Shiv Dutt Joshi, Brejesh Lall:
Image fusion using symmetric skip autoencodervia an Adversarial Regulariser. - Caracé Gutiérrez, Juan Gancio, Cecilia Cabeza, Nicolás Rubido:
Finding the Resistance Distance and Eigenvector Centrality from the Network's Eigenvalues. - Mike Laszkiewicz, Asja Fischer, Johannes Lederer:
Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery. - Alexey Uvarov, Jacob D. Biamonte, Dmitry Yudin:
Variational Quantum Eigensolver for Frustrated Quantum Systems. - Jake Wellens:
Relationships between the number of inputs and other complexity measures of Boolean functions. - Jose M. Clavijo, Paul Glaysher, Judith M. Katzy:
Adversarial domain adaptation to reduce sample bias of a high energy physics classifier. - Mogens Graf Plessen:
Integrated Time Series Summarization and Prediction Algorithm and its Application to COVID-19 Data Mining. - Joris M. Mooij, Tom Claassen:
Constraint-Based Causal Discovery In The Presence Of Cycles. - Jacob H. Seidman, Mahyar Fazlyab, Victor M. Preciado, George J. Pappas:
Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees. - Xinqiang Ding, Bin Zhang:
Computing Absolute Free Energy with Deep Generative Models. - Longzhao Liu, Xin Wang, Shaoting Tang, Zhiming Zheng:
Complex social contagion induces bistability on multiplex networks. - Haifeng Yang, Caixia Qu, Jianghui Cai, Sulan Zhang, Xujun Zhao:
SVM-Lattice: A Recognition & Evaluation Frame for Double-peaked Profiles. - Lakshay Narula, Peter Anthony Iannucci, Todd E. Humphreys:
Automotive-Radar-Based 50-cm Urban Positioning. - Saud Mobark Aldossari, Kwang-Cheng Chen:
Predicting the Path Loss of Wireless Channel Models Using Machine Learning Techniques in MmWave Urban Communications. - Yimin Hou, Shuyue Jia, Shu Zhang, Xiangmin Lun, Yan Shi, Yang Li, Hanrui Yang, Rui Zeng, Jinglei Lv:
Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition. - Shadi Djavadian, Ran Tu, Bilal Farooq, Marianne Hatzopoulou:
Multi-Objective Eco-Routing for Dynamic Control of Connected & Automated Vehicles. - Pierre G. B. Moutounet-Cartan:
Deep Convolutional Neural Networks to Diagnose COVID-19 and other Pneumonia Diseases from Posteroanterior Chest X-Rays. - Teven Le Scao:
Neural Differential Equations for Single Image Super-resolution. - Junmo Sung, Brian L. Evans:
Compressed-Sensing based Beam Detection in 5G NR Initial Access. - Elyas Sabeti, Peter X. K. Song, Alfred O. Hero III:
Pattern-Based Analysis of Time Series: Estimation. - Jen-Hao Rick Chang, Anat Levin, B. V. K. Vijaya Kumar, Aswin C. Sankaranarayanan:
Towards Occlusion-Aware Multifocal Displays. - Rao Muhammad Umer, Gian Luca Foresti, Christian Micheloni:
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution. - Tom Tirer, Raja Giryes:
On the Convergence Rate of Projected Gradient Descent for a Back-Projection based Objective. - Ruxin Wang, Shuyuan Chen, Chaojie Ji, Jianping Fan, Ye Li:
Boundary-aware Context Neural Network for Medical Image Segmentation. - Chunshan Liu, Min Li, Lou Zhao, Philip Whiting, Stephen V. Hanly, Iain B. Collings, Min-Jian Zhao:
Robust Adaptive Beam Tracking for Mobile Millimetre Wave Communications. - Kohei Nakajima:
Physical reservoir computing - An introductory perspective. - Andreas Toftegaard Kristensen, Robert Giterman, Alexios Balatsoukas-Stimming, Andreas Burg:
Lupulus: A Flexible Hardware Accelerator for Neural Networks. - Ya. Ye. Khaustov, D. Ye. Khaustov, Ye. Ryzhov, E. Lychkovskyy, Yuriy A. Nastishin:
Fusion of visible and infrared images via complex function. - Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. - Redouane Lguensat, Ronan Fablet, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Kaouther Ouenniche, Lucas Drumetz, Jonathan Gula:
Filtering Internal Tides From Wide-Swath Altimeter Data Using Convolutional Neural Networks. - Abhijith Punnappurath, Michael S. Brown:
A Little Bit More: Bitplane-Wise Bit-Depth Recovery. - Leonidas Siozos-Rousoulis, Dimitri Robert, Wouter Verbeke:
A study of the U.S. domestic air transportation network: Temporal evolution of network topology and robustness from 2001 to 2016. - Ethan P. M. LaRochelle, Pedro Arce, Brian W. Pogue:
Monte Carlo modeling photon-tissue interaction using on-demand cloud infrastructure. - Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu:
Mutual Information Gradient Estimation for Representation Learning. - Irene Malvestio, Alessio Cardillo, Naoki Masuda:
Interplay between k-core and community structure in complex networks. - Abrar S. Alhazmi, Osama Zwaid Alsulami, Taisir E. H. El-Gorashi, Mohammed T. Alresheedi, Jaafar M. H. Elmirghani:
Data center top of rack switch to multiple spine switches optical wireless uplinks. - Reijo Jaakkola, Antti Kuusisto:
Algebraic classifications for fragments of first-order logic and beyond. - Jason Z. Kim, Zhixin Lu, Erfan Nozari, George J. Pappas, Danielle S. Bassett:
Teaching Recurrent Neural Networks to Modify Chaotic Memories by Example. - Alexander Ylnner Choquenaira Florez, Braulio Valentin Sanchez Vinces, Diana Carolina Roca Arroyo, Josimar Edinson Chire Saire, Patricia Batista Franco:
Machine Learning Pipeline for Pulsar Star Dataset. - Bokun Wang, Shiqian Ma, Lingzhou Xue:
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold. - Tomás Pevný, Václav Smídl, Martin Trapp, Ondrej Polácek, Tomás Oberhuber:
Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations. - Arjan Cornelissen, Stacey Jeffery, Maris Ozols, Alvaro Piedrafita:
Span programs and quantum time complexity. - (Withdrawn) Geodesic regression.
- Hong Wang, Qi Xie, Qian Zhao, Deyu Meng:
A Model-driven Deep Neural Network for Single Image Rain Removal. - (Withdrawn) Is the NUTS algorithm correct?
- Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli:
Comparison of Image Quality Models for Optimization of Image Processing Systems. - Omar Adel Ibrahim, Savio Sciancalepore, Roberto Di Pietro:
Noise2Weight: On Detecting Payload Weight from Drones Acoustic Emissions. - Abhinav Shukla, Stavros Petridis, Maja Pantic:
Does Visual Self-Supervision Improve Learning of Speech Representations? - Zeyuan He, Simon D. Guest:
On rigid origami III: static rigidity, pre-stress stability and second-order rigidity. - Xiwen Zhang, Abu Shafin Mohammad Mahdee Jameel, Ahmed P. Mohamed, Aly El Gamal:
Deep Learning for Frame Error Prediction using a DARPA Spectrum Collaboration Challenge (SC2) Dataset. - Takeru Matsuda, Tasuku Soma:
Information geometry of operator scaling. - Dailin Lv, Wuteng Qi, Yunxiang Li, Lingling Sun, Yaqi Wang:
A cascade network for Detecting COVID-19 using chest x-rays. - Genaro J. Martínez, Andrew Adamatzky, Rolf Hoffmann, Dominique Désérable, Ivan Zelinka:
On patterns and dynamics of Rule 22 cellular automaton. - Xiancai Tian, Baihua Zheng, Yazhe Wang, Hsiao-Ting Huang, Chih-Chieh Hung:
TRIPDECODER: Study Travel Time Attributes and Route Preferences of Metro Systems from Smart Card Data. - Mikko Honkala, Dani Korpi, Janne M. J. Huttunen:
DeepRx: Fully Convolutional Deep Learning Receiver. - Yaqi Wang, Lingling Sun, Yifang Zhang, Dailin Lv, Zhixing Li, Wuteng Qi:
An Adaptive Enhancement Based Hybrid CNN Model for Digital Dental X-ray Positions Classification. - Rafal Rak, Ewa Rak:
The Fractional Preferential Attachment Scale-Free Network Model. - Joseph E. Gaudio, Anuradha M. Annaswamy, José M. Moreu, Michael A. Bolender, Travis E. Gibson:
Accelerated Learning with Robustness to Adversarial Regressors. - Jan-Hendrik Lange:
Flow-Partitionable Signed Graphs. - Rama K. Vasudevan, Maxim A. Ziatdinov, Lukas Vlcek, Sergei V. Kalinin:
Off-the-shelf deep learning is not enough: parsimony, Bayes and causality. - Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan:
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19. - Pedro R. A. S. Bassi, Romis Attux:
A Deep Convolutional Neural Network for COVID-19 Detection Using Chest X-Rays. - Navin Kashyap, Manjunath Krishnapur:
How many modes can a constrained Gaussian mixture have? - Özlem Tugfe Demir, Emil Björnson:
The Bussgang Decomposition of Non-Linear Systems: Basic Theory and MIMO Extensions. - Oliver Knapp, Günther Dissertori, Olmo Cerri, Thong Q. Nguyen, Jean-Roch Vlimant, Maurizio Pierini:
Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering the top quark. - Michael E. Glinsky, Thomas W. Moore, William E. Lewis, Matthew R. Weis, Christopher A. Jennings, David J. Ampleford, Patrick F. Knapp, Eric C. Harding, Matthew R. Gomez, Adam J. Harvey-Thompson:
Quantification of MagLIF morphology using the Mallat Scattering Transformation. - Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Pseudo-healthy synthesis with pathology disentanglement and adversarial learning. - Wei Li, Alexey Ovchinnikov, Gleb Pogudin, Thomas Scanlon:
Algorithms yield upper bounds in differential algebra. - Xingyu Li, Konstantinos N. Plataniotis:
How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To Pathology Images? - Dimitri P. Bertsekas:
Multiagent Value Iteration Algorithms in Dynamic Programming and Reinforcement Learning. - Jonathan Schwartz, Huihuo Zheng, Marcus Hanwell, Yi Jiang, Robert Hovden:
Dynamic Compressed Sensing for Real-Time Tomographic Reconstruction. - Nabil Ibtehaz, M. Sohel Rahman:
PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms using Fully Convolutional Neural Networks. - Alexander Arimond, Damian Borth, Andreas Hoepner, Michael Klawunn, Stefan Weisheit:
Neural Networks and Value at Risk. - Zhicheng Liu, Fabio Miranda, Weiting Xiong, Junyan Yang, Qiao Wang, Cláudio T. Silva:
Learning Geo-Contextual Embeddings for Commuting Flow Prediction. - Alexey A. Melnikov, Pavel Sekatski, Nicolas Sangouard:
Setting up experimental Bell test with reinforcement learning. - Karush Suri, Rinki Gupta:
Dual Stage Classification of Hand Gestures using Surface Electromyogram. - Marc Aiguier, Isabelle Bloch, Ramón Pino Pérez:
Abstract Mathematical morphology based on structuring element: Application to morpho-logic. - Jonathan Tuck, Stephen P. Boyd:
Fitting Laplacian Regularized Stratified Gaussian Models. - Corentin Briat:
Hybrid L∞×𝓁∞-Performance Analysis and Control of Linear Time-Varying Impulsive and Switched Positive Systems. - David Lonsdale, Li Zhang, Richard Jiang:
3D Printed Brain-Controlled Robot-Arm Prosthetic via Embedded Deep Learning from sEMG Sensors. - Vasundhra Iyengar, Azra Bihorac, Parisa Rashidi:
Automated Detection of Rest Disruptions in Critically Ill Patients. - Alexandru Topirceanu:
Electoral Forecasting Using a Novel Temporal Attenuation Model: Predicting the US Presidential Elections. - Khulood D. Alazwary, Osama Zwaid Alsulami, Sarah O. M. Saeed, Sanaa Hamid Mohamed, Taisir E. H. El-Gorashi, Mohammed T. Alresheedi, Jaafar M. H. Elmirghani:
Impact of user distribution on optical wireless systems. - Tuan Minh Pham, Imre Kondor, Rudolf Hanel, Stefan Thurner:
The effect of social balance on social fragmentation. - Mohamed A. Bahloul, Abderrazak Chahid, Taous-Meriem Laleg-Kirati:
Fractional-order SEIQRDP model for simulating the dynamics of COVID-19 epidemic. - Simone Cerreia-Vioglio, Fabio Maccheroni, David Schmeidler:
Equilibria of nonatomic anonymous games. - Maximilian Ilse, Jakub M. Tomczak, Patrick Forré:
Designing Data Augmentation for Simulating Interventions. - Zengyi Li, Friedrich T. Sommer:
Complex Amplitude-Phase Boltzmann Machines. - Sebastian Sadowski, Petros Spachos, Konstantinos N. Plataniotis:
Memoryless Techniques and Wireless Technologies for Indoor Localization with the Internet of Things. - Siqi Liu, Bogdan Georgescu, Zhoubing Xu, Youngjin Yoo, Guillaume Chabin, Shikha Chaganti, Sasa Grbic, Sebastian Piat, Brian Teixeira, Abishek Balachandran, Vishwanath RS, Thomas J. Re, Dorin Comaniciu:
3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19. - Zhaole Wu, Xin Wang, Wenyi Fang, Longzhao Liu, Shaoting Tang, Hongwei Zheng, Zhiming Zheng:
Community detection based on first passage probabilities. - Sylvie Huet, Floriana Gargiulo, Felicia Pratto:
Can gender inequality be created without inter-group discrimination? - Andreas Lugmayr, Martin Danelljan, Radu Timofte, Namhyuk Ahn, Dongwoon Bai, Jie Cai, Yun Cao, Junyang Chen, Kaihua Cheng, Se Young Chun, Wei Deng, Mostafa El-Khamy, Chiu Man Ho, Xiaozhong Ji, Amin Kheradmand, Gwantae Kim, Hanseok Ko, Kanghyu Lee, Jungwon Lee, Hao Li, Ziluan Liu, Zhi-Song Liu, Shuai Liu, Yunhua Lu, Zibo Meng, Pablo Navarrete Michelini, Christian Micheloni, Kalpesh Prajapati, Haoyu Ren, Yonghyeok Seo, Wan-Chi Siu, Kyung-Ah Sohn, Ying Tai, Rao Muhammad Umer, Shuangquan Wang, Huibing Wang, Timothy Haoning Wu, Haoning Wu, Biao Yang, Fuzhi Yang, Jaejun Yoo, Tongtong Zhao, Yuanbo Zhou, Haijie Zhuo, Ziyao Zong, Xueyi Zou:
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results. - Deepanshu Vasal:
Stochastic Stackelberg games. - Frank Filbir, Felix Krahmer, Oleh Melnyk:
On recovery guarantees for angular synchronization. - Christoph Leitner, Robert Jarolim, Andreas Konrad, Annika Kruse, Markus Tilp, Jörg Schröttner, Christian Baumgartner:
Automatic Tracking of the Muscle Tendon Junction in Healthy and Impaired Subjects using Deep Learning. - A. Berezutskii, M. Beketov, Dmitry Yudin, Zoltán Zimborás, Jacob D. Biamonte:
Probing Criticality in Quantum Spin Chains with Neural Networks. - Nadica Miljkovic, Milica S. Isakovic:
Effect of the sEMG electrode (re)placement and feature set size on the hand movement recognition. - Mehrdad Shafiei Dizaji, Devin K. Harris, Bernie Kassner, Jeffrey C. Hill:
Computer Vision-Based Health Monitoring of Mecklenburg Bridge Using 3D Digital Image Correlation. - Subrato Bharati, Prajoy Podder, Niketa Gandhi, Ajith Abraham:
Realization of MIMO Channel Model for Spatial Diversity with Capacity and SNR Multiplexing Gains. - Brian D. Goodwin, Corey Jaskolski, Can Zhong, Herick Asmani:
Intra-model Variability in COVID-19 Classification Using Chest X-ray Images. - Shakti Saurabh, Daniel J. Bodony:
Study of human phonation in a full body domain. - Johannes Hertrich, Gabriele Steidl:
Inertial Stochastic PALM and its Application for Learning Student-t Mixture Models. - Alessandro Salatiello, Martin A. Giese:
Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data. - Manuel Nunes, Enrico H. Gerding, Frank McGroarty, Mahesan Niranjan:
Long short-term memory networks and laglasso for bond yield forecasting: Peeping inside the black box. - Vladislav Goncharenko, Rafael Grigoryan, Alina Samokhina:
Raccoons vs Demons: multiclass labeled P300 dataset. - Raheam A. Mansor Al-Saphory, Naseif J. Al-Jawari, Asmaa N. Al-Janabi:
Regional Boundary Gradient Strategic Sensors Characterizations. - Menno A. Veerman, Robert Pincus, Robin Stoffer, Caspar van Leeuwen, Damian Podareanu, Chiel C. van Heerwaarden:
Predicting atmospheric optical properties for radiative transfer computations using neural networks. - Riccardo Mengoni, Daniele Ottaviani, Paolino Iorio:
Breaking RSA Security With A Low Noise D-Wave 2000Q Quantum Annealer: Computational Times, Limitations And Prospects. - Antoine Lesage-Landry, Joshua A. Taylor, Duncan S. Callaway:
Online Convex Optimization with Binary Constraints. - Giulia Russo, Marzio Pennisi, Marco Viceconti, Francesco Pappalardo:
In Silico Trial to test COVID-19 candidate vaccines: a case study with UISS platform. - Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov, Marcin Mozejko, Muchen Li, Siyao Li, Bo Pang, Cewu Lu, Chao Li, Dongliang He, Fu Li, Shilei Wen:
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results. - Mansourah K. A. Aljohani, Osama Zwaid Alsulami, Khulood D. Alazwary, Mohamed O. I. Musa, Taisir E. H. El-Gorashi, Mohammed T. Alresheedi, Jaafar M. H. Elmirghani:
NOMA Visible Light Communication System with Angle Diversity Receivers. - Bastian Lampe, Raphael van Kempen, Timo Woopen, Alexandru Kampmann, Bassam Alrifaee, Lutz Eckstein:
Reducing Uncertainty by Fusing Dynamic Occupancy Grid Maps in a Cloud-based Collective Environment Model. - Héctor J. Hortúa, Riccardo Volpi, Luigi Malagò:
Parameters Estimation from the 21 cm signal using Variational Inference. - Raheam A. Mansor Al-Saphory, Mohammed A. Al-Joubory, Mahmood K. Jasim:
Regional Strategic Sensors Characterizations. - Jayaraman J. Thiagarajan, Bindya Venkatesh, Rushil Anirudh, Peer-Timo Bremer, Jim Gaffney, Gemma Anderson, Brian K. Spears:
Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models. - Brian Huge, Antoine Savine:
Differential Machine Learning. - Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So:
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. - Endre Csóka:
Application-oriented mathematical algorithms for group testing. - Tobias Kyrion:
Recurrence Relations for Values of the Riemann Zeta Function in Odd Integers. - Andrés Chirre, Valdir José Pereira Júnior, David de Laat:
Primes in arithmetic progressions and semidefinite programming. - Boaz Barak, Chi-Ning Chou, Xun Gao:
Spoofing Linear Cross-Entropy Benchmarking in Shallow Quantum Circuits. - Ben Lund, Aditya Potukuchi:
On the list recoverability of randomly punctured codes. - Florian Klimm, Benjamin F. Maier:
A Network Science Summer Course for High School Students. - Tiago Cinto, André Leon Sampaio Gradvohl, Guilherme Palermo Coelho, Ana Estela Antunes da Silva:
A Framework for Designing and Evaluating Solar Flare Forecasting Systems. - Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan:
Event Cartography: Latent Point Process Embeddings. - Vineet K. Raghu, Xiaoyu Ge, Arun Balajee, Daniel J. Shirer, Isha Das, Panayiotis V. Benos, Panos K. Chrysanthis:
A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data. - Tian Guo, Nicolas Jamet, Valentin Betrix, Louis-Alexandre Piquet, Emmanuel Hauptmann:
ESG2Risk: A Deep Learning Framework from ESG News to Stock Volatility Prediction. - Romain Mormont, Pierre Geurts, Raphaël Marée:
Multi-task pre-training of deep neural networks for digital pathology. - Christopher Warner, Friedrich T. Sommer:
A Model for Image Segmentation in Retina. - Emre Gönültas, Milad Taghavi, Sweta Soni, Alyssa B. Apsel, Christoph Studer:
Identifying Unused RF Channels Using Least Matching Pursuit. - Zhen Sun, Guocheng Wang, Xiaoqing Su, Xinghui Liang, Lintao Liu:
Similarity and delay between two non-narrow-band time signals. - Javier E. Santos, Mohammed Mehana, Hao Wu, Masa Prodanovic, Michael J. Pyrcz, Qinjun Kang, Nicholas Lubbers, Hari S. Viswanathan:
Modeling nanoconfinement effects using active learning. - Casper Gyurik, Chris Cade, Vedran Dunjko:
Towards quantum advantage for topological data analysis. - Li You, Xu Chen, Xiaohang Song, Fan Jiang, Wenjin Wang, Xiqi Gao, Gerhard P. Fettweis:
Network Massive MIMO Transmission Over Millimeter-Wave and Terahertz Bands: Mobility Enhancement and Blockage Mitigation. - Ioannis Dimitriou:
Analysis of the Symmetric Join the Shortest Orbit Queue. - Chen-Han Tsai, Nahum Kiryati, Eli Konen, Iris Eshed, Arnaldo Mayer:
Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet). - James A. Long Jr., Kevin G. Milans, Andrea Munaro:
Sublinear Longest Path Transversals and Gallai Families. - Aya Mostafa Ahmed, Omar Eissa, Aydin Sezgin:
Deep Autoencoders for DOA Estimation of Coherent Sources using Imperfect Antenna Array. - Ehsan Tohidi, David Gesbert, Antonio Bazco Nogueras, Paul de Kerret:
Decentralizing Multi-Operator Cognitive Radio Resource Allocation: An Asymptotic Analysis. - Karol Fitzgerald, Eamonn J. Harvey, Nicola Keaveney, Matthew P. Redman:
Introducing PyCross: PyCloudy Rendering Of Shape Software for pseudo 3D ionisation modelling of nebulae. - Vikram Menon, Ayan Chattopadhyay:
Quantum pattern matching Oracle construction. - Hamidreza Eivazi, Luca Guastoni, Philipp Schlatter, Hossein Azizpour, Ricardo Vinuesa:
Recurrent neural networks and Koopman-based frameworks for temporal predictions in turbulence. - Yichun Hu, Nathan Kallus:
DTR Bandit: Learning to Make Response-Adaptive Decisions With Low Regret. - DaeJin Jo:
Token Manipulation Generative Adversarial Network for Text Generation. - Pedro Moura, Greta K. W. Yu, Shubham Sarkar, Javad Mohammadi:
Linking Parking and Electricity Values to Unlock Potentials of Electric Vehicles in Portuguese Buildings. - Diego Baptista, Daniela Leite, Enrico Facca, Mario Putti, Caterina De Bacco:
Network extraction by routing optimization. - Saswata Sahoo, Souradip Chakraborty:
Graph Spectral Feature Learning for Mixed Data of Categorical and Numerical Type. - Wei Xiong, Ding Liu, Xiaohui Shen, Chen Fang, Jiebo Luo:
Unsupervised Real-world Low-light Image Enhancement with Decoupled Networks. - Jie Wang, Victor Magron, Jean B. Lasserre, Ngoc Hoang Anh Mai:
CS-TSSOS: Correlative and term sparsity for large-scale polynomial optimization. - Sandeep Kumar, Pranab K. Muhuri:
A Novel GDP Prediction Technique based on Transfer Learning using CO2 Emission Dataset. - Jifei Miao, Kit Ian Kou:
Quaternion-based bilinear factor matrix norm minimization for color image inpainting. - Ajinkya Kadu, Hassan Mansour, Petros T. Boufounos:
High-Contrast Limited-Angle Reflection Tomography. - Nicholas R. Allgood, Charles K. Nicholas:
A Quantum Algorithm To Locate Unknown Hashes For Known N-Grams Within A Large Malware Corpus. - Muhammad Ammar Malik, Tom Michoel:
Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders. - Mikael Brudfors, Yaël Balbastre, John Ashburner:
Groupwise Multimodal Image Registration using Joint Total Variation. - Semion Rozov:
Machine Learning and Deep Learning methods for predictive modelling from Raman spectra in bioprocessing. - Boris Sotomayor-Gómez, Horacio Samaniego:
City limits in the age of smartphones and urban scaling. - Hanlin Sun, Robert M. Ziff, Ginestra Bianconi:
Renormalization group theory of percolation on pseudo-fractal simplicial and cell complexes. - Wengong Jin, Regina Barzilay, Tommi S. Jaakkola:
Adaptive Invariance for Molecule Property Prediction. - Tahereh Javaheri, Morteza Homayounfar, Zohreh Amoozgar, Reza Reiazi, Fatemeh Homayounieh, Engy Abbas, Azadeh Laali, Amir Reza Radmard, Mohammad Hadi Gharib, Seyed Ali Javad Mousavi, Omid Ghaemi, Rosa Babaei, Hadi Karimi Mobin, Mehdi Hosseinzadeh, Rana Jahanban-Esfahlan, Khaled Seidi, Mannudeep K. Kalra, Guanglan Zhang, Lubomir T. Chitkushev, Benjamin Haibe-Kains, Reza Malekzadeh, Reza Rawassizadeh:
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image. - Oktay Karakus, Nantheera Anantrasirichai, Amazigh Aguersif, Stein Silva, Adrian Basarab, Alin Achim:
Line Artefact Quantification in Lung Ultrasound Images of COVID-19 Patients via Non-Convex Regularisation. - Jean Barbier, Dmitry Panchenko:
Strong replica symmetry in high-dimensional optimal Bayesian inference. - Imme Ebert-Uphoff, Kyle A. Hilburn:
Evaluation, Tuning and Interpretation of Neural Networks for Meteorological Applications. - Elliot Catt, Marcus Hutter:
A Gentle Introduction to Quantum Computing Algorithms with Applications to Universal Prediction. - Eric Rowland, Manon Stipulanti:
Avoiding 5/4-powers on the alphabet of nonnegative integers. - Sanjay Kariyappa, Atul Prakash, Moinuddin K. Qureshi:
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation. - Denis Sipp, Miguel Fosas de Pando, Peter J. Schmid:
Nonlinear model reduction: a comparison between POD-Galerkin and POD-DEIM methods. - Isaac Michael Ross, Ronald J. Proulx, Mark Karpenko:
An Optimal Control Theory for the Traveling Salesman Problem and Its Variants. - Wei Han, Zhengdong Zhang, Yu Zhang, Jiahui Yu, Chung-Cheng Chiu, James Qin, Anmol Gulati, Ruoming Pang, Yonghui Wu:
ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context. - Kai Zhou, Jiong Tang:
Efficient Characterization of Dynamic Response Variation Using Multi-Fidelity Data Fusion through Composite Neural Network. - Shaojin Ding, Tianlong Chen, Xinyu Gong, Weiwei Zha, Zhangyang Wang:
AutoSpeech: Neural Architecture Search for Speaker Recognition. - Matthew D. Kvalheim, Paul Gustafson, Daniel E. Koditschek:
Conley's fundamental theorem for a class of hybrid systems. - Dai Taguchi, Akihiro Tanaka, Tomooki Yuasa:
Multi-dimensional Avikainen's estimates. - Ariel Rokem, Kendrick N. Kay:
Fractional ridge regression: a fast, interpretable reparameterization of ridge regression. - Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen:
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning. - Kazuha Itabashi, Quoc-Hoan Tran, Yoshihiko Hasegawa:
Evaluating the phase dynamics of coupled oscillators via time-variant topological features. - Illia Horenko, Ganna Marchenko, Patrick Gagliardini:
On a computationally-scalable sparse formulation of the multidimensional and non-stationary maximum entropy principle. - Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, Wanchun Gao, He Sui, Daoqiang Zhang, Dinggang Shen:
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. - Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu:
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. - Víctor Blanco, Ricardo Gázquez:
Continuous maximal covering location problems with interconnected facilities. - Seung Won Park, Doo-young Kim, Myun-chul Joe:
Cotatron: Transcription-Guided Speech Encoder for Any-to-Many Voice Conversion without Parallel Data. - Darshan Gadginmath, Pavankumar Tallapragada:
Safe Data-Driven Distributed Coordination of Intersection Traffic. - Nantheera Anantrasirichai, Fan Zhang, Alexandra Malyugina, Paul R. Hill, Angeliki V. Katsenou:
Encoding in the Dark Grand Challenge: An Overview. - Seung-bin Kim, Jee-weon Jung, Hye-jin Shim, Ju-ho Kim, Ha-Jin Yu:
Segment Aggregation for short utterances speaker verification using raw waveforms. - Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Keun Ho Ryu:
A Locally Adaptive Interpretable Regression. - Martin Emil Jakobsen, Jonas Peters:
Distributional Robustness of K-class Estimators and the PULSE. - Xi He:
Quantum correlation alignment for unsupervised domain adaptation. - Moajjem Hossain Chowdhury, Md Nazmul Islam Shuzan, Muhammad Enamul Hoque Chowdhury, Zaid Bin Mahbub, Mohammad Monir Uddin, Amith Khandakar, Mamun Bin Ibne Reaz:
Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques. - Jeremy Francis Tusubira, Benjamin Akera, Solomon Nsumba, Joyce Nakatumba-Nabende, Ernest Mwebaze:
Scoring Root Necrosis in Cassava Using Semantic Segmentation. - Xiaofeng Zhu, Bin Song, Feng Shi, Yanbo Chen, Rongyao Hu, Jiangzhang Gan, Wenhai Zhang, Man Li, Liye Wang, Yaozong Gao, Fei Shan, Dinggang Shen:
Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan. - Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham D. Finlayson, Shai Givati, Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu, Zhiqiang Lang, Wei Wei, Lei Zhang, Jiangtao Nie, Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin, Youngjung Kim, Changyeop Shin, Kyeongha Rho, Sungho Kim, Zhiyu Zhu, Junhui Hou, He Sun, Jinchang Ren, Zhenyu Fang, Yijun Yan, Hao Peng, Xiaomei Chen, Jie Zhao, Tarek Stiebel, Simon Koppers, Dorit Merhof, Honey Gupta, Kaushik Mitra, Biebele Joslyn Fubara, Mohamed H. Sedky, Dave Dyke, Atmadeep Banerjee, Akash Palrecha, Sabarinathan sabarinathan, K. Uma, D. Synthiya Vinothini, B. Sathya Bama, S. M. Md Mansoor Roomi:
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image. - Kazuaki Murayama, Shuichi Kawano:
Relevance Vector Machine with Weakly Informative Hyperprior and Extended Predictive Information Criterion. - Karush Suri, Rinki Gupta:
Transfer Learning for sEMG-based Hand Gesture Classification using Deep Learning in a Master-Slave Architecture. - Rito Murase, Masanori Suganuma, Takayuki Okatani:
How Can CNNs Use Image Position for Segmentation? - Tai-Yu Ma, Joseph Y. J. Chow, Sylvain Klein, Ziyi Ma:
A stochastic user-operator assignment game for microtransit service evaluation: A case study of Kussbus in Luxembourg. - Nayana Das, Goutam Paul:
Two Efficient Device Independent Quantum Dialogue Protocols. - Johannes Köhler, Lukas Schwenkel, Anne Koch, Julian Berberich, Patricia Pauli, Frank Allgöwer:
Robust and optimal predictive control of the COVID-19 outbreak. - Lukasz Debowski, Tomasz Steifer:
Universal Coding and Prediction on Martin-Löf Random Points. - Haiwei Wu, Yan Jia, Yuanfei Nie, Ming Li:
Mutli-task Learning with Alignment Loss for Far-field Small-Footprint Keyword Spotting. - Ivan Drokin, Elena Ericheva:
Deep Learning on Point Clouds for False Positive Reduction at Nodule Detection in Chest CT Scans. - Qi Li, Tijana Milenkovic:
Improving supervised prediction of aging-related genes via dynamic network analysis. - Florian Brandl:
Belief-Averaged Relative Utilitarianism. - Mladen Kovacevic:
Signaling to Relativistic Observers: An Einstein-Shannon-Riemann Encounter. - Max Rabinovich, Michael I. Jordan, Martin J. Wainwright:
Lower bounds in multiple testing: A framework based on derandomized proxies. - Johan Larsson, Malgorzata Bogdan, Jonas Wallin:
The Strong Screening Rule for SLOPE. - Nine Sellier, Pengcheng An:
How Peripheral Interactive Systems Can Support Teachers with Differentiated Instruction: Using FireFlies as a Probe. - Bert Wang-Chak Chan:
Lenia and Expanded Universe. - Sarah E. Marzen, James P. Crutchfield:
Inference, Prediction, and Entropy-Rate Estimation of Continuous-time, Discrete-event Processes. - Anatolij Zubow, Piotr Gawlowicz, Falko Dressler:
On Phase Offsets of 802.11ac Commodity WiFi. - Arash Rabbani, Reza Shams, Masoud Babaei:
DeePore: a deep learning workflow for rapid and comprehensive characterization of porous materials. - Miaomiao Wang, Abdelhamid Tayebi:
Nonlinear State Estimation for Inertial Navigation Systems With Intermittent Measurements. - Han Bao, Jinyong Feng, Nam Dinh, Hongbin Zhang:
Deep Learning Interfacial Momentum Closures in Coarse-Mesh CFD Two-Phase Flow Simulation Using Validation Data. - Yang Li, Jinqiao Duan:
A Data-Driven Approach for Discovering Stochastic Dynamical Systems with Non-Gaussian Levy Noise. - Marco Carreras, Gianfranco Deriu, Luigi Raffo, Luca Benini, Paolo Meloni:
Optimizing Temporal Convolutional Network inference on FPGA-based accelerators. - Anuradha Kar:
MLGaze: Machine Learning-Based Analysis of Gaze Error Patterns in Consumer Eye Tracking Systems. - John McManigle, Raquel Bartz, Lawrence Carin:
Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations. - Xikai Yang, Xuehang Zheng, Yong Long, Saiprasad Ravishankar:
Learned Multi-layer Residual Sparsifying Transform Model for Low-dose CT Reconstruction. - Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen:
Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images. - Alexander F. Lapanowski, Irina Gaynanova:
Compressing Large Sample Data for Discriminant Analysis. - Myunghun Jung, Youngmoon Jung, Jahyun Goo, Hoirin Kim:
Multi-Task Network for Noise-Robust Keyword Spotting and Speaker Verification using CTC-based Soft VAD and Global Query Attention. - Rasoul Sali, Sodiq Adewole, Lubaina Ehsan, Lee A. Denson, Paul Kelly, Beatrice C. Amadi, Lori Holtz, Syed Asad Ali, Sean R. Moore, Sana Syed, Donald E. Brown:
Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images. - Katrin Grunert, Anders Nordli, Susanne Solem:
Numerical conservative solutions of the Hunter-Saxton equation. - Yong Xu, Meng Yu, Shi-Xiong Zhang, Lianwu Chen, Chao Weng, Jianming Liu, Dong Yu:
Neural Spatio-Temporal Beamformer for Target Speech Separation. - Stefan T. Radev, Andreas Voss, Eva Marie Wieschen, Paul-Christian Bürkner:
Amortized Bayesian Inference for Models of Cognition. - Romualdo Pastor-Satorras, Claudio Castellano:
The localization of non-backtracking centrality in networks and its physical consequences. - Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quanzheng Sheng, Shoujin Wang, Xiaoshui Huang, Zhenmei Yu:
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation. - Ramin Hasibi, Tom Michoel:
Predicting gene expression from network topology using graph neural networks. - Yajun Zhao, Yu-Ngok Ruyue Li, Liujun Hu, Chenchen Zhang:
Dual connectivity and standalone modes for LTE-U. - Ha-Vu Tran, Georges Kaddoum, Hany Elgala, Chadi Abou-Rjeily, Hemani Kaushal:
Lightwave Power Transfer for Federated Learning-based Wireless Networks. - Mi Qian, Guofa Cai, Yi Fang, Guojun Han:
Design of Link-Selection Strategies for Buffer-Aided DCSK-SWIPT Relay System. - Zhan Yu, Daniel W. C. Ho, Deming Yuan:
Distributed Stochastic Optimization over Time-Varying Noisy Network. - Xishuang Dong, Shanta Chowdhury, Uboho Victor, Xiangfang Li, Lijun Qian:
Cell Type Identification from Single-Cell Transcriptomic Data via Semi-supervised Learning. - Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv:
DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation. - Enrico Ronchi, Ruggiero Lovreglio:
EXPOSED: An occupant exposure model for confined spaces to retrofit crowd models during a pandemic. - Mehmet Yamac, Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj:
Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images. - D. S. Shirokov:
On determinant, other characteristic polynomial coefficients, and inverses in Clifford algebras of arbitrary dimension. - Siu Lun Chau, Mihai Cucuringu, Dino Sejdinovic:
Spectral Ranking with Covariates. - Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen:
Hypergraph Learning for Identification of COVID-19 with CT Imaging. - Arkadius G. Kalka, Sonja Kuhnt:
The numerical statistical fan for noisy experimental designs. - Jiapan Gu, Ziyuan Zhao, Zeng Zeng, Yuzhe Wang, Zhengyiren Qiu, Bharadwaj Veeravalli, Brian Kim Poh Goh, Glenn Kunnath Bonney, Krishnakumar Madhavan, Chan Wan Ying, Lim Kheng Choon, Thng Choon Hua, Pierce K. H. Chow:
Multi-Phase Cross-modal Learning for Noninvasive Gene Mutation Prediction in Hepatocellular Carcinoma. - Sovan Saha, Anup Kumar Halder, Soumyendu Sekhar Bandyopadhyay, Piyali Chatterjee, Mita Nasipuri, Subhadip Basu:
Computational modeling of Human-nCoV protein-protein interaction network. - Rebecka Winqvist, Arun Venkitaraman, Bo Wahlberg:
On Training and Evaluation of Neural Network Approaches for Model Predictive Control. - Manuel Pariente, Samuele Cornell, Joris Cosentino, Sunit Sivasankaran, Efthymios Tzinis, Jens Heitkaemper, Michel Olvera, Fabian-Robert Stöter, Mathieu Hu, Juan M. Martín-Doñas, David Ditter, Ariel Frank, Antoine Deleforge, Emmanuel Vincent:
Asteroid: the PyTorch-based audio source separation toolkit for researchers. - Nanwei Wang, Laurent Briollais, Hélène Massam:
The scalable Birth-Death MCMC Algorithm for Mixed Graphical Model Learning with Application to Genomic Data Integration. - Wei Xiong, Karyn Doke, Petko Bogdanov, Mariya Zheleva:
LinksIQ: Robust and Efficient Modulation Recognition with Imperfect Spectrum Scans. - Setareh Maghsudi, Mihaela van der Schaar:
A Non-Stationary Bandit-Learning Approach to Energy-Efficient Femto-Caching with Rateless-Coded Transmission. - Caroline Wang, Bin Han, Bhrij Patel, Feroze Mohideen, Cynthia Rudin:
In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction. - Nguyen Thi Van Hang, Boris S. Mordukhovich, M. Ebrahim Sarabi:
Augmented Lagrangian Method for Second-Order Cone Programs under Second-Order Sufficiency. - Maria N. Brunet, Guilherme Aramizo Ribeiro, Nina Mahmoudian, Mo Rastgaar:
Stereo Vision for Unmanned Aerial VehicleDetection, Tracking, and Motion Control. - Mohamed K. M. Fadul, Donald R. Reising, T. Daniel Loveless, Abdul R. Ofoli:
Preprint: Using RF-DNA Fingerprints To Classify OFDM Transmitters Under Rayleigh Fading Conditions. - Alexandros Papadopoulos, Konstantinos Kyritsis, Lisa Klingelhöfer, Sevasti Bostantjopoulou, Kallol Ray Chaudhuri, Anastasios Delopoulos:
Detecting Parkinsonian Tremor from IMU Data Collected In-The-Wild using Deep Multiple-Instance Learning. - Tongge Huang, Pranamesh Chakraborty, Anuj Sharma:
Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images. - Peter Clifford, Raphaël Clifford:
Faster classical Boson Sampling. - Li Fu, Xiaoxiao Li, Libo Zi:
Incremental Learning for End-to-End Automatic Speech Recognition. - Walter Boscheri, Michael Dumbser, Matteo Ioriatti, Ilya Peshkov, Evgeniy I. Romenski:
A structure-preserving staggered semi-implicit finite volume scheme for continuum mechanics. - Abdullah-Al-Zubaer Imran, Demetri Terzopoulos:
Progressive Adversarial Semantic Segmentation. - Siddhant Garg, Goutham Ramakrishnan:
Advances in Quantum Deep Learning: An Overview. - Paul Kent, Jürgen Branke:
BOP-Elites, a Bayesian Optimisation algorithm for Quality-Diversity search. - Demetrius DiMucci:
JigSaw: A tool for discovering explanatory high-order interactions from random forests. - Adam Holmes, Anne Y. Matsuura:
Efficient Quantum Circuits for Accurate State Preparation of Smooth, Differentiable Functions. - Anshoo Tandon, Vincent Y. F. Tan, Shiyao Zhu:
Exact Asymptotics for Learning Tree-Structured Graphical Models with Side Information: Noiseless and Noisy Samples. - Daniela Calvetti, Alexander Hoover, Johnie Rose, Erkki Somersalo:
Bayesian dynamical estimation of the parameters of an SE(A)IR COVID-19 spread model. - Muhammad Naveed Tabassum, Esa Ollila:
A Compressive Classification Framework for High-Dimensional Data. - Ilaria Cardinali, Luca Giuzzi, Mariusz Kwiatkowski:
On the Grassmann Graph of Linear Codes. - Xingyao Wang, Chengyu Liu, Yuwen Li, Xianghong Cheng, Jianqing Li, Gari D. Clifford:
Temporal-Framing Adaptive Network for Heart Sound Segmentation without Prior Knowledge of State Duration. - Marta Tuninetti, Alberto Aleta, Daniela Paolotti, Yamir Moreno, Michele Starnini:
Prediction of scientific collaborations through multiplex interaction networks. - Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan K. Veerapaneni:
Natural evolution strategies and quantum approximate optimization. - Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran:
CFDNet: a deep learning-based accelerator for fluid simulations. - Haochen Wu, Ryan G. James, James P. Crutchfield, Raissa M. D'Souza:
Correlated structural evolution within multiplex networks. - Gokul Hariharan, Satish Kumar, Mihailo R. Jovanovic:
Well-conditioned ultraspherical and spectral integration methods for resolvent analysis of channel flows of Newtonian and viscoelastic fluids. - Saeed Saremi, Rupesh Srivastava:
Provable Robust Classification via Learned Smoothed Densities. - Xin Guo, Jiequn Han, Wenpin Tang:
Perturbed gradient descent with occupation time. - Nathan P. Lawrence, Gregory E. Stewart, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni:
Reinforcement Learning based Design of Linear Fixed Structure Controllers. - Nathan P. Lawrence, Gregory E. Stewart, Philip D. Loewen, Michael G. Forbes, Johan U. Backström, R. Bhushan Gopaluni:
Optimal PID and Antiwindup Control Design as a Reinforcement Learning Problem. - Xiaoyu Wu, David Borrelli, Zeyu Bai, Youzhi Liang:
A Multi-Variate Triple-Regression Forecasting Algorithm for Long-Term Customized Allergy Season Prediction. - Xiao-Wei Tang, Xin-Lin Huang:
A Design of SDR-based Pseudo-Analog Wireless Video Transmission System. - Qin Li, Huachun Tan, Xizhu Jiang, Yuankai Wu, Linhui Ye:
Non-recurrent Traffic Congestion Detection with a Coupled Scalable Bayesian Robust Tensor Factorization Model. - Li Zhang, Mingliang Wang, Mingxia Liu, Daoqiang Zhang:
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis. - Feifan Lv, Yinqiang Zheng, Yicheng Li, Feng Lu:
An Integrated Enhancement Solution for 24-hour Colorful Imaging. - Ali Rahmati, Seyyedali Hosseinalipour, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan:
Lifetime Maximization for UAV-assisted Data Gathering Networks in the Presence of Jamming. - Sharan Ramjee, Shengtai Ju, Diyu Yang, Xiaoyu Liu, Aly El Gamal, Yonina C. Eldar:
Ensemble Wrapper Subsampling for Deep Modulation Classification. - Zexin Cai, Chuxiong Zhang, Ming Li:
From Speaker Verification to Multispeaker Speech Synthesis, Deep Transfer with Feedback Constraint. - Adélie Garin, Teresa Heiss, Kelly Maggs, Bea Bleile, Vanessa Robins:
Duality in Persistent Homology of Images. - Ayan Chattopadhyay, Vikram Menon:
Fast simulation of Grover's quantum search on classical computer. - Mu Li, Kai Zhang, Wangmeng Zuo, Radu Timofte, David Zhang:
Learning Context-Based Non-local Entropy Modeling for Image Compression. - Meng Ge, Chenglin Xu, Longbiao Wang, Eng Siong Chng, Jianwu Dang, Haizhou Li:
SpEx+: A Complete Time Domain Speaker Extraction Network. - Jonathan Frawley, Chris G. Willcocks, Maged Habib, Caspar Geenen, David H. Steel, Boguslaw Obara:
Segmentation of Macular Edema Datasets with Small Residual 3D U-Net Architectures. - Daniel Ucko:
Peer Review: Objectivity, Anonymity, Trust. - Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin:
Hierarchical Regression Network for Spectral Reconstruction from RGB Images. - Aya Mostafa Ahmed, Alaa Alameer Ahmad, Stefano Fortunati, Aydin Sezgin, Maria S. Greco, Fulvio Gini:
Reinforcement Learning based Beamforming for Massive MIMO Radar Multi-target Detection. - N. S. Shlyankin, A. V. Gaidel:
Application of the Hidden Markov Model for determining PQRST complexes in electrocardiograms. - Behzad Salami, Osman S. Ünsal, Adrián Cristal:
Power and Accuracy of Multi-Layer Perceptrons (MLPs) under Reduced-voltage FPGA BRAMs Operation. - Volker Mehrmann, Paul Van Dooren:
Structured backward errors for eigenvalues of linear port-Hamiltonian descriptor systems. - Zvika Brakerski, Venkata Koppula, Umesh V. Vazirani, Thomas Vidick:
Simpler Proofs of Quantumness. - Micah Halter, Evan Patterson, Andrew Baas, James P. Fairbanks:
Compositional Scientific Computing with Catlab and SemanticModels. - Jean Feng, Noah Simon:
Ensembled sparse-input hierarchical networks for high-dimensional datasets. - Pipi Hu, Wuyue Yang, Yi Zhu, Liu Hong:
Revealing hidden dynamics from time-series data by ODENet. - Ye Bai, Jiangyan Yi, Jianhua Tao, Zhengkun Tian, Zhengqi Wen, Shuai Zhang:
Listen Attentively, and Spell Once: Whole Sentence Generation via a Non-Autoregressive Architecture for Low-Latency Speech Recognition. - Ming Bo Cai, Michael Shvartsman, Anqi Wu, Hejia Zhang, Xia Zhu:
Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis. - Yihong Zhang, Jing Zhang, Yang Song, Chaomin Shen, Guang Yang:
Gleason Score Prediction using Deep Learning in Tissue Microarray Image. - Shuo Liu, Xiwang Guan, Shuangling Luo, Haoxiang Xia:
Consensus, Bi-polarization and Multiformity in Opinion Dynamics with Bidirectional Thresholds. - Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Multi-View Graph Convolutional Networks for Relationship-Driven Stock Prediction. - David Melching, Michael Neunteufel, Joachim Schöberl, Ulisse Stefanelli:
A finite-strain model for incomplete damage in elastoplastic materials. - Fernando Navarro, Anjany Sekuboyina, Diana Waldmannstetter, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze:
Deep Reinforcement Learning for Organ Localization in CT. - Sergio Siccha:
Towards Efficient Normalizers of Primitive Groups. - Rachel Prudden, Samantha V. Adams, Dmitry Kangin, Niall H. Robinson, Suman V. Ravuri, Shakir Mohamed, Alberto Arribas:
A review of radar-based nowcasting of precipitation and applicable machine learning techniques. - Claudio Badii, Pierfrancesco Bellini, Stefano Bilotta, Daniele Bologna, Daniele Cenni, Angelo Difino, Luciano Alessandro Ipsaro Palesi, Nicola Mitolo, Paolo Nesi, Gianni Pantaleo, Irene Paoli, Michela Paolucci, Mirco Soderi:
Impact on Mobility and Environmental data of COVID-19 Lockdown on Florence Area. - Tuhin Sahai:
Dynamical Systems Theory and Algorithms for NP-hard Problems. - Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Alyson K. Fletcher, Sundeep Rangan, Michael Trumpis, Brinnae Bent, Chia-Han Chiang, Jonathan Viventi:
Low-Rank Nonlinear Decoding of $μ$-ECoG from the Primary Auditory Cortex. - Shohel Ahmed, Shah Abdullah Al Nahian:
Dynamics of an Intra-host Diffusive Pathogen Infection Model. - Wei Chien Benny Chin, Roland Bouffanais:
Spatial super-spreaders and super-susceptibles in human movement networks. - Rémy Priem, Nathalie Bartoli, Youssef Diouane, Alessandro Sgueglia:
Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design. - Said Boumaraf, Xiabi Liu, Chokri Ferkous, Xiaohong Ma:
A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in Mammograms. - Christopher J. Arthurs, Andrew P. King:
Active Training of Physics-Informed Neural Networks to Aggregate and Interpolate Parametric Solutions to the Navier-Stokes Equations. - Daniel AlShamaa, Farah Chehade, Paul Honeine:
Statistical learning for sensor localization in wireless networks. - Stefano Cerri, Oula Puonti, Dominik S. Meier, Jens Wuerfel, Mark Mühlau, Hartwig R. Siebner, Koen Van Leemput:
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis. - Edresson Casanova, Arnaldo Cândido Júnior, Frederico Santos de Oliveira, Christopher Shulby, João Paulo Teixeira, Moacir Antonelli Ponti, Sandra Maria Aluísio:
End-To-End Speech Synthesis Applied to Brazilian Portuguese. - Noah Topper:
Functional Decision Theory in an Evolutionary Environment. - Yuanfang Ren, Tyler J. Loftus, Rahul Sai Kasula, Prudhvee Narasimha Sadha, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti:
Development of Computable Phenotype to Identify and Characterize Transitions in Acuity Status in Intensive Care Unit. - Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet:
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality. - Lin Qiu, Vernon M. Chinchilli, Lin Lin:
Deep Latent Variable Model for Longitudinal Group Factor Analysis. - Luisa Frickes, Simone Dantas, Atílio G. Luiz:
On the Graceful Game. - Eshal Zahra, Bostan Ali, Wajahat Siddique:
Medical Image Segmentation Using a U-Net type of Architecture. - Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod:
Fundus2Angio: A Novel Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography. - Florent Dewez, Benjamin Guedj, Vincent Vandewalle:
From industry-wide parameters to aircraft-centric on-flight inference: improving aeronautics performance prediction with machine learning. - Prabhanjan Ananth, Rolando L. La Placa:
Secure Software Leasing. - Matthew Wilson, James Hefford, Guillaume Boisseau, Vincent Wang:
The Safari of Update Structures: Visiting the Lens and Quantum Enclosures. 1-18 - Arthur P. Goldberg, John A. P. Sekar, Jonathan R. Karr:
Exact Parallelization of the Stochastic Simulation Algorithm for Scalable Simulation of Large Biochemical Networks. - Thomas Drugman, Jérôme Urbain, Nathalie Bauwens, Ricardo Chessini, Anne-Sophie Aubriot, Patrick Lebecque, Thierry Dutoit:
Audio and Contact Microphones for Cough Detection. - Alex Viguerie, Guillermo Lorenzo, Ferdinando Auricchio, Davide Baroli, Thomas J. R. Hughes, Alessia Patton, Alessandro Reali, Thomas E. Yankeelov, Alessandro Veneziani:
Simulating the spread of COVID-19 via spatially-resolved susceptible-exposed-infected-recovered-deceased (SEIRD) model with heterogeneous diffusion. - Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus:
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers. - Shreeya Sriram, Shitij Avlani, Matthew P. Ward, Shreyas Sen:
Electro-Quasistatic Animal Body Communication for Chronic Untethered Rodent Biopotential Recording. - Nikolas Nüsken, Lorenz Richter:
Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space. - Neil Getty, Thomas S. Brettin, Dong Jin, Rick Stevens, Fangfang Xia:
Deep Medical Image Analysis with Representation Learning and Neuromorphic Computing. - Julien Grand-Clément, Christian Kroer:
Scalable First-Order Methods for Robust MDPs. - M. Keith Chen, Yilin Zhuo, Malena de la Fuente, Ryne Rohla, Elisa F. Long:
Causal Estimation of Stay-at-Home Orders on SARS-CoV-2 Transmission. - Shiyu Duan, Shujian Yu, José C. Príncipe:
Modularizing Deep Learning via Pairwise Learning With Kernels. - Jiae Kim, Yoonkyung Lee, Zhiyu Liang:
The Geometry of Nonlinear Embeddings in Kernel Discriminant Analysis. - Jan Bok, Richard C. Brewster, Tomás Feder, Pavol Hell, Nikola Jedlicková:
List homomorphism problems for signed graphs. - Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mehmet Akçakaya:
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks. - Sumit A. Raurale, Geraldine B. Boylan, Gordon Lightbody, John M. O'Toole:
Identifying trace alternant activity in neonatal EEG using an inter-burst detection approach. - Sumit A. Raurale, Geraldine B. Boylan, Gordon Lightbody, John M. O'Toole:
Grading the severity of hypoxic-ischemic encephalopathy in newborn EEG using a convolutional neural network. - Michael Kummer, Arunava Banerjee:
Spike-Triggered Descent. - Sampa Misra, Seungwan Jeon, Seiyon Lee, Ravi Managuli, Chulhong Kim:
Multi-Channel Transfer Learning of Chest X-ray Images for Screening of COVID-19. - Shoto Aoki, Kazuki Ikeda:
Repeated Quantum Games and Strategic Efficiency. - Ziyi Shen, Huazhu Fu, Jianbing Shen, Ling Shao:
Understanding and Correcting Low-quality Retinal Fundus Images for Clinical Analysis. - Fahreddin Abdullayev, Anatolii Serdyuk, Andrii Shidlich:
Widths of functional classes defined by majorants of generalized moduli of smoothness in the spaces ${\mathcal S}^p$. - Pedro Baptista de Castro, Kensei Terashima, Takafumi D. Yamamoto, Zhufeng Hou, Suguru Iwasaki, Ryo Matsumoto, Shintaro Adachi, Yoshito Saito, Peng Song, Hiroyuki Takeya, Yoshihiko Takano:
Machine Learning Guided Discovery of Gigantic Magnetocaloric Effect in HoB2 Near Hydrogen Liquefaction Temperature. - Baochao Shan, Runxi Wang, Peng Wang, Yonghao Zhang, Liehui Zhang, Zhaoli Guo:
Non-equilibrium transport of inhomogeneous shale gas under ultra-tight confinement. - Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu:
Invertible Image Rescaling. - Thomas Tilak, Arnaud Braun, David Chandler, Nicolas David, Sylvain Galopin, Amélie Lombard, Michaël Michaud, Camille Parisel, Matthieu Porte, Marjorie Robert:
Very High Resolution Land Cover Mapping of Urban Areas at Global Scale with Convolutional Neural Networks. - Svetlana Solodusha, Ekaterina Antipina:
Inversion formulas and their finite-dimensional analogs for multidimensional Volterra equations of the first kind. - Samira Masoudi, Syed Muhammad Anwar, Stephanie A. Harmon, Peter L. Choyke, Baris Turkbey, Ulas Bagci:
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation. - Mengjia Xu, David López-Sanz, Pilar Garcés, Fernando Maestú, Quanzheng Li, Dimitrios Pantazis:
A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression with MEG Brain Networks. - Ambar Jain, Shivam Pal, Kashyap Rajeevsarathy:
Estimating the Cheeger constant using machine learning. - Gary P. T. Choi, Siheng Chen, L. Mahadevan:
Control of connectivity and rigidity in prismatic assemblies. - Levi H. Dudte, Gary P. T. Choi, L. Mahadevan:
Additive origami. - Souvik Chakraborty, Sondipon Adhikari:
Machine learning based digital twin for dynamical systems with multiple time-scales. - Aleksandr Beznosikov, Abdurakhmon Sadiev, Alexander V. Gasnikov:
Gradient-Free Methods for Saddle-Point Problem. - Elyas Goli, Suzanne R. Peterson, Philippe H. Geubelle:
Instabilities driven by frontal polymerization in thermosetting polymers and composites. - Gregory Ongie, Ajil Jalal, Christopher A. Metzler, Richard G. Baraniuk, Alexandros G. Dimakis, Rebecca Willett:
Deep Learning Techniques for Inverse Problems in Imaging. - Steffi Knorn, Bart Besselink:
Scalable robustness of interconnected systems subject to structural changes. - Ali Abavisani, Mark Hasegawa-Johnson:
Automatic Estimation of Inteligibility Measure for Consonants in Speech. - Joan Gimeno, Jiaqi Yang, Rafael de la Llave:
Numerical computation of periodic orbits and isochrons for state-dependent delay perturbation of an ODE in the plane. - J. J. Kuczek, Japan K. Patel, Richard Vasques:
Nonlinear Fokker-Planck Acceleration for Forward-Peaked Transport Problems in Slab Geometry. - Hyuntae Lim, YounJoon Jung:
MLSolv-A: A Novel Machine Learning-Based Prediction of Solvation Free Energies from Pairwise Atomistic Interactions. - Minh-Chuong Huynh, Trung-Hieu Nguyen, Minh-Triet Tran:
Context Learning for Bone Shadow Exclusion in CheXNet Accuracy Improvement. - Alex Wozniakowski, Jayne Thompson, Mile Gu, Felix C. Binder:
Boosting on the shoulders of giants in quantum device calibration. - Jie Peng, Qing Ling:
Byzantine-Robust Decentralized Stochastic Optimization over Static and Time-Varying Networks. - Xinjia Chen:
Uncertainty Inference with Applications to Control and Decision. - Feifan Wang, Bharat B. Biswal:
Neural Architecture Search for Gliomas Segmentation on Multimodal Magnetic Resonance Imaging. - Venkanna Udutalapally, Saraju P. Mohanty, Vishal Pallagani, Vedant Khandelwal:
sCrop: A Internet-of-Agro-Things (IoAT) Enabled Solar Powered Smart Device for Automatic Plant Disease Prediction. - Wietske A. P. Bastiaansen, Melek Rousian, Régine P. M. Steegers-Theunissen, Wiro J. Niessen, Anton H. J. Koning, Stefan Klein:
Towards segmentation and spatial alignment of the human embryonic brain using deep learning for atlas-based registration. - Ivan Slobozhan, Peter Ormosi, Rajesh Sharma:
Which bills are lobbied? Predicting and interpreting lobbying activity in the US. - Louis Abraham, Gary Bécigneul, Bernhard Schölkopf:
Crackovid: Optimizing Group Testing. - Changlin Jiang, Amir Barati Farimani:
Deep Learning Convective Flow Using Conditional Generative Adversarial Networks. - Thomas Baranowski, Dascha Dobrovolskij, Kilian Dremel, Astrid Hölzing, Günter Lohfink, Katja Schladitz, Simon Zabler:
Local Fiber Orientation from X-ray Region-of-Interest Computed Tomography of large Fiber Reinforced Composite Components. - Gorjan Alagic, Zvika Brakerski, Yfke Dulek, Christian Schaffner:
Impossibility of Quantum Virtual Black-Box Obfuscation of Classical Circuits. - Austin Gilliam, Marco Pistoia, Constantin Gonciulea:
Optimizing Quantum Search Using a Generalized Version of Grover's Algorithm. - Paramanand Chandramouli, Kanchana Vaishnavi Gandikota, Andreas Görlitz, Andreas Kolb, Michael Moeller:
Generative Models for Generic Light Field Reconstruction. - Arthur Charpentier, Romuald Elie, Mathieu Laurière, Viet Chi Tran:
COVID-19 pandemic control: balancing detection policy and lockdown intervention under ICU sustainability. - Shreshth Saini, Divij Gupta, Anil Kumar Tiwari:
Detector-SegMentor Network for Skin Lesion Localization and Segmentation. - Ruriko Yoshida:
Tropical Data Science. - Charlie Kirkwood, Theo Economou, Henry Odbert, Nicolas Pugeault:
A framework for probabilistic weather forecast post-processing across models and lead times using machine learning. - Matthew Aldridge:
Conservative two-stage group testing. - Guy Avni, Ismaël Jecker, Dorde Zikelic:
Infinite-Duration All-Pay Bidding Games. - Arjun Pankajakshan, Helen L. Bear, Vinod Subramanian, Emmanouil Benetos:
Memory Controlled Sequential Self Attention for Sound Recognition. - Kenichi Nakazato, Masanori Takano:
Spreading dynamics of infectious diseases on structured society with daily cycles. - Sen Na, Sungho Shin, Mihai Anitescu, Victor M. Zavala:
Overlapping Schwarz Decomposition for Nonlinear Optimal Control. - Rohit Saha, Abenezer Teklemariam, Ian Shenyen Hsu, Alan M. Moses:
W-Cell-Net: Multi-frame Interpolation of Cellular Microscopy Videos. - S. Ryzhikov:
DAQ meta-software for HEP experimental setups. - Oleg Rybakov, Natasha Kononenko, Niranjan Subrahmanya, Mirkó Visontai, Stella Laurenzo:
Streaming keyword spotting on mobile devices. - Przemek Gardias, Eric Arthur, Huaming Sun:
Enhanced Residual Networks for Context-based Image Outpainting. - Siqi Li, Guobao Wang:
Low-Dose CT Image Denoising Using Parallel-Clone Networks. - Min Fu, Yong Zhou, Yuanming Shi:
Reconfigurable Intelligent Surface for Interference Alignment in MIMO Device-to-Device Networks. - Eduardo Sánchez Morales, Michael Botsch, Bertold Huber, Andrés García Higuera:
High Precision Indoor Navigation for Autonomous Vehicles. - Zhenghong Qiu, Jianhui Huang, Tinghan Xie:
Linear Quadratic Gaussian Mean-Field Controls of Social Optima. - Eduardo Sánchez Morales, Michael Botsch, Bertold Huber, Andrés García Higuera:
High precision indoor positioning by means of LiDAR. - Deepanshu Vasal, Randall Berry:
α-robust equilibrium in anonymous games. - Linda Bianchini, João Santinha, Nuno Loução, Mário A. T. Figueiredo, Francesca Botta, Daniela Origgi, Marta Cremonesi, Enrico Cassano, Nikolaos Papanikolaou, Alessandro Lascialfari:
A multicenter study on radiomic features from T2-weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics. - Baudouin Denis de Senneville, José V. Manjón, Pierrick Coupé:
RegQCNET: Deep Quality Control for Image-to-template Brain MRI Registration. - Ashok Bandi, R. Bhavani Shankar Mysore, Symeon Chatzinotas, Björn E. Ottersten:
Joint User Grouping, Scheduling, and Precoding for Multicast Energy Efficiency in Multigroup Multicast Systems. - Martin Wahl:
Information inequalities for the estimation of principal components. - Amin Ullah, Syed Muhammad Anwar, Muhammad Bilal, Raja Majid Mehmood:
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation. - Antoine Bera, Antoine-Sophie Bonnet-Bendhia, Lucas Chesnel:
A continuation method for building invisible obstacles in waveguides. - Maria-Gabriella Di Benedetto, Luca De Nardis:
Consonant gemination in Italian: the affricate and fricative case. - Maria-Gabriella Di Benedetto, Luca De Nardis:
Consonant gemination in Italian: the nasal and liquid case. - María J. Palazzi, Albert Solé-Ribalta, Violeta Calleja-Solanas, Sandro Meloni, Carlos A. Plata, Samir Suweis, Javier Borge-Holthoefer:
Resilience and elasticity of co-evolving information ecosystems. - Michel Olvera, Emmanuel Vincent, Romain Serizel, Gilles Gasso:
Foreground-Background Ambient Sound Scene Separation. - Yang Ye, Qingpeng Zhang, Zhongyuan Ruan, Zhidong Cao, Qi Xuan, Daniel Dajun Zeng:
Modeling the heterogeneous disease-behavior-information dynamics during epidemics. - Fahad Shamshad, Asif Hanif, Ali Ahmed:
Subsampled Fourier Ptychography using Pretrained Invertible and Untrained Network Priors. - Yi-Chen Chen, Jui-Yang Hsu, Cheng-Kuang Lee, Hung-yi Lee:
DARTS-ASR: Differentiable Architecture Search for Multilingual Speech Recognition and Adaptation. - Xuewen Yao, Megan Micheletti, Mckensey Johnson, Kaya de Barbaro:
Classification of Infant Crying in Real-World Home Environments Using Deep Learning. - Gustavo Adrian Bodanza:
On abstract F-systems. A graph-theoretic model for paradoxes involving a falsity predicate and its application to argumentation frameworks. - Luis A. Pinedo-Sanchez, Diego Alberto Mercado-Ravell, Carlos A. Carballo-Monsivais:
Vibration Analysis in Bearings for Failure Prevention using CNN. - Osamah S. Badarneh:
The α-η-F and α-κ-F Composite Fading Distributions. - Kartik Jain:
Efficacy of the FDA nozzle benchmark and the lattice Boltzmann method for the analysis of biomedical flows in transitional regime. - Edward O. Pyzer-Knapp:
Using Bayesian Optimization to Accelerate Virtual Screening for the Discovery of Therapeutics Appropriate for Repurposing for COVID-19. - Christos Chatzichristos, Eleftherios Kofidis, Lieven De Lathauwer, Sergios Theodoridis, Sabine Van Huffel:
Early soft and flexible fusion of EEG and fMRI via tensor decompositions. - Renzo Andri, Geethan Karunaratne, Lukas Cavigelli, Luca Benini:
ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator. - Abhishek Srivastava, Baibhab Chatterjee, Udit Rawat, Yanbo He, Dana Weinstein, Shreyas Sen:
Analysis and Design Considerations for Achieving the Fundamental Limits of Phase Noise in mmWave Oscillators with On-Chip MEMS Resonator. - Brecht Desplanques, Jenthe Thienpondt, Kris Demuynck:
ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification. - Aleksandr Laptev, Roman Korostik, Aleksey Svischev, Andrei Andrusenko, Ivan Medennikov, Sergey Rybin:
You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation. - Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun:
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression. - Padmaja Jonnalagedda, Brent D. Weinberg, Jason Allen, Taejin L. Min, Shiv Bhanu, Bir Bhanu:
SAGE: Sequential Attribute Generator for Analyzing Glioblastomas using Limited Dataset. - Linfang Wang, Maximilian Stark, Richard D. Wesel, Gerhard Bauch:
A Reconstruction-Computation-Quantization (RCQ) Approach to Node Operations in LDPC Decoding. - Alberto Paganini, Florian Wechsung:
Fireshape: a shape optimization toolbox for Firedrake. - Deepanshu Vasal:
Dynamic information design. - Ritam Guha, Anik Sengupta, Ankan Dutta:
Sewage Pooling Test for SARS-CoV-2. - Ivan Medennikov, Maxim Korenevsky, Tatiana Prisyach, Yuri Y. Khokhlov, Mariya Korenevskaya, Ivan Sorokin, Tatiana Timofeeva, Anton Mitrofanov, Andrei Andrusenko, Ivan Podluzhny, Aleksandr Laptev, Aleksei Romanenko:
Target-Speaker Voice Activity Detection: a Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario. - Jesse Geneson, Eunjeong Yi:
Broadcast Dimension of Graphs. - P. A. CrowdMath:
Propagation time for weighted zero forcing. - Christoph Adami:
On the Origin of Quantum Uncertainty. - Marcel Santana Santos, Tsang Ing Ren, Nima Khademi Kalantari:
Single Image HDR Reconstruction Using a CNN with Masked Features and Perceptual Loss. - Xiaoxiao Li, Xiaopeng Guo, Liye Mei, Mingyu Shang, Jie Gao, Maojing Shu, Xiang Wang:
Visual Perception Model for Rapid and Adaptive Low-light Image Enhancement. - Achintya Kumar Sarkar, Zheng-Hua Tan:
On Bottleneck Features for Text-Dependent Speaker Verification Using X-vectors. - Hideaki Ishibashi, Hideitsu Hino:
Stopping criterion for active learning based on deterministic generalization bounds. - Po-Chun Hsu, Hung-yi Lee:
WG-WaveNet: Real-Time High-Fidelity Speech Synthesis without GPU. - Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yinghuan Shi, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen:
TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation. - Svitlana H. Lytvynova:
Electronic Textbook as a Component of Smart Kids Technology of Education of Elementary School Pupils. - Ravi Tej Akella, Shirsendu Sukanta Halder, Arunav Pratap Shandeelya, Vinod Pankajakshan:
Enhancing Perceptual Loss with Adversarial Feature Matching for Super-Resolution. - Maureen van Eijnatten, Leonardo Rundo, Kees Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek:
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning. - Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding, Zitao Liu:
Siamese Neural Networks for Class Activity Detection. - Nils L. Westhausen, Bernd T. Meyer:
Dual-Signal Transformation LSTM Network for Real-Time Noise Suppression. - Lu Han, Guangcun Shan, H. Y. Wang, Shengqiao Gao, Wenxia Zhou:
Accelerating drug repurposing for COVID-19 via modeling drug mechanism of action with large scale gene-expression profiles. - Emir Zunic, Kemal Korjenic, Kerim Hodzic, Dzenana Donko:
Application of Facebook's Prophet Algorithm for Successful Sales Forecasting Based on Real-world Data. - Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Context-Dependent Acoustic Modeling without Explicit Phone Clustering. - A. Philip Dawid, Ambuj Tewari:
On Learnability under General Stochastic Processes. - Zekun Ren, Juhwan Noh, Siyu I. P. Tian, Felipe Oviedo, Guangzong Xing, Qiaohao Liang, Armin Aberle, Yi Liu, Qianxiao Li, Senthilnath Jayavelu, Kedar Hippalgaonkar, Yousung Jung, Tonio Buonassisi:
Inverse design of crystals using generalized invertible crystallographic representation. - Daniel Kohlsdorf, Denise Herzing, Thad Starner:
An Auto Encoder For Audio Dolphin Communication. - Y. Yan, Q. M. Li:
Design and implementation of the net zero displacement filter for the synthesis of a mechanical shock signal under specified shock response spectrum. - Hongsheng Chen, Teng Xiang, Kai Chen, Jing Lu:
Nonlinear Residual Echo Suppression Based on Multi-stream Conv-TasNet. - Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus:
How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy. - Baurzhan Muminov, Luat T. Vuong:
Small-brain neural networks rapidly solve inverse problems with vortex Fourier encoders. - Héctor J. Hortúa, Luigi Malagò, Riccardo Volpi:
Constraining the Reionization History using Bayesian Normalizing Flows. - Derek Jones, Hyojin Kim, Xiaohua Zhang, Adam T. Zemla, Garrett Stevenson, William D. Bennett, Dan Kirshner, Sergio Ernesto Wong, Felice C. Lightstone, Jonathan E. Allen:
Improved Protein-ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference. - Krasymyr Tretiak, James Buchanan, Rob J. Akers, Daniel Ruprecht:
Performance of the BGSDC integrator for computing fast ion trajectories in nuclear fusion reactors. - Michael Haus, Jörg Ott, Aaron Yi Ding:
Enabling Seamless Device Association with DevLoc using Light Bulb Networks for Indoor IoT Environments. - Shilpa Rao, Gonzalo Seco-Granados, Hessam Pirzadeh, A. Lee Swindlehurst:
Massive MIMO Channel Estimation with Low-Resolution Spatial Sigma-Delta ADCs. - Mostafa M. Mohamed, Björn W. Schuller:
"I have vxxx bxx connexxxn!": Facing Packet Loss in Deep Speech Emotion Recognition. - Julie Rolla, Amy Connolly, Kai Staats, Stephanie Wissel, Dean Arakaki, Ian Best, Adam Blenk, Brian Clark, Maximillian Clowdus, Suren Gourapura, Corey Harris, Hannah Hasan, Luke Letwin, David Liu, Carl Pfendner, Jordan Potter, Cade Sbrocco, Tom Sinha, Jacob Trevithick:
Evolving Antennas for Ultra-High Energy Neutrino Detection. - Mostafa M. Mohamed, Björn W. Schuller:
ConcealNet: An End-to-end Neural Network for Packet Loss Concealment in Deep Speech Emotion Recognition. - Danfeng Xie, Yiran Li, Hanlu Yang, Li Bai, Lei Zhang, Ze Wang:
A Learning-from-noise Dilated Wide Activation Network for denoising Arterial Spin Labeling (ASL) Perfusion Images. - Saumitra Mishra, Emmanouil Benetos, Bob L. Sturm, Simon Dixon:
Reliable Local Explanations for Machine Listening. - Mostafa M. Mohamed, Mina A. Nessiem, Björn W. Schuller:
On Deep Speech Packet Loss Concealment: A Mini-Survey. - Nicolás I. Tapia, Pablo A. Estévez:
RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection. - Dan Lim, Won Jang, Gyeonghwan O, Hyeyeong Park, Bongwan Kim, Jaesam Yoon:
JDI-T: Jointly trained Duration Informed Transformer for Text-To-Speech without Explicit Alignment. - Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang:
High-dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model. - Zhuohao Chen, Nikolaos Flemotomos, Victor Ardulov, Torrey A. Creed, Zac E. Imel, David C. Atkins, Shrikanth Narayanan:
Feature Fusion Strategies for End-to-End Evaluation of Cognitive Behavior Therapy Sessions. - Mohammad Asif Khan, Fabien Cardinaux, Stefan Uhlich, Marc Ferras, Asja Fischer:
Unsupervised Cross-Domain Speech-to-Speech Conversion with Time-Frequency Consistency. - Yurii Rebryk, Stanislav Beliaev:
ConVoice: Real-Time Zero-Shot Voice Style Transfer with Convolutional Network. - Yanpei Shi, Qiang Huang, Thomas Hain:
Weakly Supervised Training of Hierarchical Attention Networks for Speaker Identification. - Yanpei Shi, Qiang Huang, Thomas Hain:
Speaker Re-identification with Speaker Dependent Speech Enhancement. - Hao Peng, Pei Chen, Rui Liu:
Multi-step-ahead Prediction from Short-term Data by Delay-embedding-based Forecast Machine. - Kritika Singh, Vimal Manohar, Alex Xiao, Sergey Edunov, Ross B. Girshick, Vitaliy Liptchinsky, Christian Fuegen, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed:
Large scale weakly and semi-supervised learning for low-resource video ASR. - Tariq Daouda, Reda Chhaibi, Prudencio Tossou, Alexandra-Chloé Villani:
Geodesics in fibered latent spaces: A geometric approach to learning correspondences between conditions. - Deepesh Data, Suhas N. Diggavi:
Byzantine-Resilient SGD in High Dimensions on Heterogeneous Data. - Kevin D. Smith, Saber Jafarpour, Ananthram Swami, Francesco Bullo:
Topology Inference with Multivariate Cumulants: The Möbius Inference Algorithm. - Nick Altieri, Rebecca L. Barter, James Duncan, Raaz Dwivedi, Karl Kumbier, Xiao Li, Robert Netzorg, Briton Park, Chandan Singh, Yan Shuo Tan, Tiffany M. Tang, Yu Wang, Bin Yu:
Curating a COVID-19 data repository and forecasting county-level death counts in the United States. - Yi Zhao, Haoyu Li, Cheng-I Lai, Jennifer Williams, Erica Cooper, Junichi Yamagishi:
Improved Prosody from Learned F0 Codebook Representations for VQ-VAE Speech Waveform Reconstruction. - Xin Li, Simeng Sun, Zhizheng Zhang, Zhibo Chen:
Multi-scale Grouped Dense Network for VVC Intra Coding. - Zhiyuan Zha, Xin Yuan, Joey Tianyi Zhou, Jiantao Zhou, Bihan Wen, Ce Zhu:
The Power of Triply Complementary Priors for Image Compressive Sensing. - Zhengkun Tian, Jiangyan Yi, Jianhua Tao, Ye Bai, Shuai Zhang, Zhengqi Wen:
Spike-Triggered Non-Autoregressive Transformer for End-to-End Speech Recognition. - Michal Parnas:
Circulant almost cross intersecting families. - Hao Xu, Dongxiao Zhang, Junsheng Zeng:
Deep-learning of Parametric Partial Differential Equations from Sparse and Noisy Data. - Burin Naowarat, Thananchai Kongthaworn, Korrawe Karunratanakul, Sheng Hui Wu, Ekapol Chuangsuwanich:
Reducing Spelling Inconsistencies in Code-Switching ASR using Contextualized CTC Loss. - Stamatina Lamprinakou, Emma J. McCoy, Mauricio Barahona, Axel Gandy, Seth R. Flaxman, Sarah Filippi:
BART-based inference for Poisson processes. - Lee Prangnell, Victor Sanchez:
JNCD-Based Perceptual Compression of RGB 4: 4: 4 Image Data. - Hanna Meyer, Edzer J. Pebesma:
Predicting into unknown space? Estimating the area of applicability of spatial prediction models. - Jakob Raymaekers, Peter J. Rousseeuw:
Transforming variables to central normality. - Afroz Ahamad, Ankit Anand, Pranesh Bhargava:
AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition. - Chunping Qiu, Xiaochong Tong, Michael Schmitt, Benjamin Bechtel, Xiao Xiang Zhu:
Multi-level Feature Fusion-based CNN for Local Climate Zone Classification from Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42 Dataset. - Keqi Wang, Peng Gao, Steven C. H. Hoi, Qian Guo, Yuhua Qian:
Extreme Low-Light Imaging with Multi-granulation Cooperative Networks. - Indrakshi Dey, Hem Dutt Joshi, Nicola Marchetti:
Decision Fusion in Space-Time Spreading aided Distributed MIMO WSNs. - Tao Tu, Yuan-Jui Chen, Alexander H. Liu, Hung-yi Lee:
Semi-supervised Learning for Multi-speaker Text-to-speech Synthesis Using Discrete Speech Representation. - Xin Yuan:
Various Total Variation for Snapshot Video Compressive Imaging. - Matthew Leming, Simon Baron-Cohen, John Suckling:
Single-participant structural connectivity matrices lead to greater accuracy in classification of participants than function in autism in MRI. - Chunyang Wu, Yongqiang Wang, Yangyang Shi, Ching-Feng Yeh, Frank Zhang:
Streaming Transformer-based Acoustic Models Using Self-attention with Augmented Memory. - Xiaoyi Qin, Ming Li, Hui Bu, Wei Rao, Rohan Kumar Das, Shrikanth Narayanan, Haizhou Li:
The INTERSPEECH 2020 Far-Field Speaker Verification Challenge. - Samaherni M. Dias, Kurios I. P. de M. Queiroz, Allan de M. Martins:
Controlling epidemic diseases based only on social distancing level. - Qiang Huang, Thomas Hain:
Exploration of Audio Quality Assessment and Anomaly Localisation Using Attention Models. - Yang Feng, Qingfeng Liu:
Nested Model Averaging on Solution Path for High-dimensional Linear Regression. - Huanru Henry Mao, Shuyang Li, Julian J. McAuley, Garrison W. Cottrell:
Speech Recognition and Multi-Speaker Diarization of Long Conversations. - Sharif Amit Kamran, Alireza Tavakkoli, Stewart Lee Zuckerbrod:
Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images. - Anmol Gulati, James Qin, Chung-Cheng Chiu, Niki Parmar, Yu Zhang, Jiahui Yu, Wei Han, Shibo Wang, Zhengdong Zhang, Yonghui Wu, Ruoming Pang:
Conformer: Convolution-augmented Transformer for Speech Recognition. - Piotr Zelasko, Laureano Moro-Velázquez, Mark Hasegawa-Johnson, Odette Scharenborg, Najim Dehak:
That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages. - Hao Ma, Xiangyu Hu, Yuxuan Zhang, Nils Thuerey, Oskar J. Haidn:
A Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks. - Leonardo F. S. Scabini, Lucas Correia Ribas, Mariane Barros Neiva, Altamir G. B. Junior, Alex Josué Flórez Farfán, Odemir M. Bruno:
Social Interaction Layers in Complex Networks for the Dynamical Epidemic Modeling of COVID-19 in Brazil. - Nikita Moriakov, Ashwin Samudre, Michela Negro, Fabian Gieseke, Sydney Otten, Luc Hendriks:
Inferring astrophysical X-ray polarization with deep learning. - Aswin Sivaraman, Minje Kim:
Sparse Mixture of Local Experts for Efficient Speech Enhancement. - Babak Naderi, Ross Cutler:
An Open source Implementation of ITU-T Recommendation P.808 with Validation. - Sebastian W. Ober, Laurence Aitchison:
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes. - Anirban Bhowmick, Astik Biswas:
Identification/Segmentation of Indian Regional Languages with Singular Value Decomposition based Feature Embedding. - Gunnar Brinkmann:
A Practical Algorithm for the Computation of the Genus. - Liming Jiang, Yuanchang Xie, Danjue Chen, Tienan Li, Nicholas G. Evans:
Dampen the Stop-and-Go Traffic with Connected and Automated Vehicles - A Deep Reinforcement Learning Approach. - Rui Gao, Filip Tronarp, Simo Särkkä:
Variable Splitting Methods for Constrained State Estimation in Partially Observed Markov Processes. - Kirill V. Vedenev, Vladimir M. Deundyak:
The codes in some non-semisimple dihedral group algebras and their properties. - Luca Mariot, Martina Saletta, Alberto Leporati, Luca Manzoni:
Exploring Semi-bent Boolean Functions Arising from Cellular Automata. - Kwangjun Ahn:
From Proximal Point Method to Nesterov's Acceleration. - Phani Sankar Nidadavolu, Saurabh Kataria, L. Paola García-Perera, Jesús Villalba, Najim Dehak:
Single Channel Far Field Feature Enhancement For Speaker Verification In The Wild. - Fernando Llorente, Luca Martino, David Delgado, Javier López-Santiago:
Marginal likelihood computation for model selection and hypothesis testing: an extensive review. - Leyuan Qu, Cornelius Weber, Stefan Wermter:
Multimodal Target Speech Separation with Voice and Face References. - Yiming Wang, Hang Lv, Daniel Povey, Lei Xie, Sanjeev Khudanpur:
Wake Word Detection with Alignment-Free Lattice-Free MMI. - Ali K. Ibrahim, Hanqi Zhuang, Laurent M. Chérubin, Nurgun Erdol, Gregory O. Corry-Crowe, Ali Muhamed Ali:
North Atlantic Right Whales Up-call Detection Using Multimodel Deep Learning. - Rishikesh Ranade, Chris Hill, Jay Pathak:
DiscretizationNet: A Machine-Learning based solver for Navier-Stokes Equations using Finite Volume Discretization. - Solmaz Niknam, Abhishek Roy, Harpreet S. Dhillon, Sukhdeep Singh, Rahul Banerji, Jeffrey H. Reed, Navrati Saxena, Seungil Yoon:
Intelligent O-RAN for Beyond 5G and 6G Wireless Networks. - Nan Chen, Miao Wang, Ning Zhang, Xuemin Shen:
Energy and Information Management of Electric Vehicular Network: A Survey. - Yi Guo, Shen Wang, Ahmad F. Taha, Tyler H. Summers:
Optimal Pump Control for Water Distribution Networks via Data-based Distributional Robustness. - Yu-An Chung, Hao Tang, James R. Glass:
Vector-Quantized Autoregressive Predictive Coding. - Takashi Goda, Tomohiko Hironaka, Wataru Kitade:
Unbiased MLMC stochastic gradient-based optimization of Bayesian experimental designs. - Young Eun Lee, Minji Lee, Seong-Whan Lee:
Reconstructing ERP Signals Using Generative Adversarial Networks for Mobile Brain-Machine Interface. - Gengyan Zhao, Gyujoon Hwang, Cole J. Cook, Fang Liu, Mary E. Meyerand, Rasmus M. Birn:
Deep Learning and Bayesian Deep Learning Based Gender Prediction in Multi-Scale Brain Functional Connectivity. - Tien-Hong Lo, Fu-An Chao, Shi-Yan Weng, Berlin Chen:
The NTNU System at the Interspeech 2020 Non-Native Children's Speech ASR Challenge. - Tien-Hong Lo, Shi-Yan Weng, Hsiu-Jui Chang, Berlin Chen:
An Effective End-to-End Modeling Approach for Mispronunciation Detection. - Hirokazu Kameoka, Wen-Chin Huang, Kou Tanaka, Takuhiro Kaneko, Nobukatsu Hojo, Tomoki Toda:
Many-to-Many Voice Transformer Network. - Shuang Xu, Zixiang Zhao, Yicheng Wang, Chunxia Zhang, Junmin Liu, Jiangshe Zhang:
Deep Convolutional Sparse Coding Networks for Image Fusion. - Gengyan Zhao, Fang Liu, Jonathan A. Oler, Mary E. Meyerand, Ned H. Kalin, Rasmus M. Birn:
Bayesian convolutional neural network based MRI brain extraction on nonhuman primates. - Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Deep Latent-Variable Kernel Learning. - Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh:
HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network. - Seungwoo Choi, Seungju Han, Dongyoung Kim, Sungjoo Ha:
Attentron: Few-Shot Text-to-Speech Utilizing Attention-Based Variable-Length Embedding. - Bin Wang, Yan Yin, Hui Lin:
Attention-based Transducer for Online Speech Recognition. - Chengjian Sun, Jiajun Wu, Chenyang Yang:
Data Representation for Deep Learning with Priori Knowledge of Symmetric Wireless Tasks. - Jen-Yu Liu, Yu-Hua Chen, Yin-Cheng Yeh, Yi-Hsuan Yang:
Unconditional Audio Generation with Generative Adversarial Networks and Cycle Regularization. - Naihan Li, Shujie Liu, Yanqing Liu, Sheng Zhao, Ming Liu, Ming Zhou:
MoBoAligner: a Neural Alignment Model for Non-autoregressive TTS with Monotonic Boundary Search. - Leonardo Cella, Alessandro Lazaric, Massimiliano Pontil:
Meta-learning with Stochastic Linear Bandits. - Josué Page, Paolo Favaro:
Learning to Model and Calibrate Optics via a Differentiable Wave Optics Simulator. - Xinchi Qiu, Titouan Parcollet, Mirco Ravanelli, Nicholas D. Lane, Mohamed Morchid:
Quaternion Neural Networks for Multi-channel Distant Speech Recognition. - Jianwei Yu, Bo Wu, Rongzhi Gu, Shi-Xiong Zhang, Lianwu Chen, Yong Xu, Meng Yu, Dan Su, Dong Yu, Xunying Liu, Helen Meng:
Audio-visual Multi-channel Recognition of Overlapped Speech. - Po-Han Chi, Pei-Hung Chung, Tsung-Han Wu, Chun-Cheng Hsieh, Shang-wen Li, Hung-yi Lee:
Audio ALBERT: A Lite BERT for Self-supervised Learning of Audio Representation. - Brij Mohan Lal Srivastava, Natalia A. Tomashenko, Xin Wang, Emmanuel Vincent, Junichi Yamagishi, Mohamed Maouche, Aurélien Bellet, Marc Tommasi:
Design Choices for X-vector Based Speaker Anonymization. - Leendert A. Remmelzwaal, Amit Kumar Mishra, George F. R. Ellis:
Brain-inspired Distributed Cognitive Architecture. - Sameh Y. Elnaggar, Gregory N. Milford:
Properties of Translation Operator and the Solution of the Eigenvalue and Boundary Value Problems of Arbitrary Space-time Periodic Circuits. - Gi-Hwan Shin, Minji Lee, Seong-Whan Lee:
Assessment of Unconsciousness for Memory Consolidation Using EEG Signals. - Peter Hillmann, Bastian Kühnel, Tobias Uhlig, Gabi Dreo Rodosek, Oliver Rose:
Optimized Travel to Meetings on a Common Location of Geographical Distributed Participants. - Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich:
A Novel Column Generation Heuristic for Airline Crew Pairing Optimization with Large-scale Complex Flight Networks. - Moonseop Kim, Huayi Yin, Guang Lin:
Multi-Fidelity Gaussian Process based Empirical Potential Development for Si: H Nanowires. - Arne Winterhof, Zibi Xiao:
Binary sequences derived from differences of consecutive quadratic residues. - Yi-Chiao Wu, Tomoki Hayashi, Takuma Okamoto, Hisashi Kawai, Tomoki Toda:
Quasi-Periodic Parallel WaveGAN Vocoder: A Non-autoregressive Pitch-dependent Dilated Convolution Model for Parametric Speech Generation. - Yi-Chiao Wu, Patrick Lumban Tobing, Kazuki Yasuhara, Noriyuki Matsunaga, Yamato Ohtani, Tomoki Toda:
A Cyclical Post-filtering Approach to Mismatch Refinement of Neural Vocoder for Text-to-speech Systems. - R. Euser, Cornelis Vuik:
A non-reflective boundary condition for LBM based on the assumption of non-equilibrium symmetry. - Yosuke Higuchi, Shinji Watanabe, Nanxin Chen, Tetsuji Ogawa, Tetsunori Kobayashi:
Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict. - Woo-Seok Lee, Junghyo Jo, Taegeun Song:
Machine learning for the diagnosis of early stage diabetes using temporal glucose profiles. - Shahin Amiriparian, Pawel Winokurow, Vincent Karas, Sandra Ottl, Maurice Gerczuk, Björn W. Schuller:
A Novel Fusion of Attention and Sequence to Sequence Autoencoders to Predict Sleepiness From Speech. - Samuel H. Rudy, Themistoklis P. Sapsis:
Sparse Methods for Automatic Relevance Determination. - Tingzhi Mao, Yerbolat Khassanov, Van Tung Pham, Haihua Xu, Hao Huang, Eng Siong Chng:
Approaches to Improving Recognition of Underrepresented Named Entities in Hybrid ASR Systems. - Sofia Triantafillou, Gregory Cooper:
Learning Adjustment Sets from Observational and Limited Experimental Data. - Junjun Jiang, He Sun, Xianming Liu, Jiayi Ma:
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery. - Benoit Brummer, Christophe De Vleeschouwer:
Adapting JPEG XS gains and priorities to tasks and contents. - Jaesung Huh, Minjae Lee, Heesoo Heo, Seongkyu Mun, Joon Son Chung:
Metric Learning for Keyword Spotting. - Chien-yu Huang, Yist Y. Lin, Hung-yi Lee, Lin-Shan Lee:
Defending Your Voice: Adversarial Attack on Voice Conversion. - Boris Karanov, Mathieu Chagnon, Vahid Aref, Domaniç Lavery, Polina Bayvel, Laurent Schmalen:
Optical Fiber Communication Systems Based on End-to-End Deep Learning. - Mahsa Foruhandeh, Abdullah Zubair Mohammed, Gregor Kildow, Paul Berges, Ryan M. Gerdes:
Spotr: GPS Spoofing Detection via Device Fingerprinting. - Boris Karanov, Mathieu Chagnon, Vahid Aref, Filipe Ferreira, Domaniç Lavery, Polina Bayvel, Laurent Schmalen:
Experimental Investigation of Deep Learning for Digital Signal Processing in Short Reach Optical Fiber Communications. - Youle Wang, Guangxi Li, Xin Wang:
Variational quantum Gibbs state preparation with a truncated Taylor series. - Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar:
When to Lift the Lockdown? Global COVID-19 Scenario Planning and Policy Effects using Compartmental Gaussian Processes. - Matin Macktoobian, Denis Gillet, Jean-Paul Kneib:
Optimal target assignment for massive spectroscopic surveys. - Maciej Bendkowski:
How to generate random lambda terms? - Mostafa Shahriari, David Pardo, J. A. Rivera, Carlos Torres-Verdín, Artzai Picón, Javier Del Ser, S. Ossandón, Victor M. Calo:
Error Control and Loss Functions for the Deep Learning Inversion of Borehole Resistivity Measurements. - Tom van Sonsbeek, Veronika Cheplygina:
Predicting Scores of Medical Imaging Segmentation Methods with Meta-Learning. - Kirk E. Jordan, Ji Li, Thomas J. Peters:
Knot Morphing Algorithm for Quantum 'Fragile Topology'. - Danhang Tang, Saurabh Singh, Philip A. Chou, Christian Häne, Mingsong Dou, Sean Ryan Fanello, Jonathan Taylor, Philip Davidson, Onur G. Guleryuz, Yinda Zhang, Shahram Izadi, Andrea Tagliasacchi, Sofien Bouaziz, Cem Keskin:
Deep Implicit Volume Compression. - Byoung-Hee Kwon, Ji-Hoon Jeong, Jeong-Hyun Cho, Seong-Whan Lee:
Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment. - Frank Fuhlbrück, Johannes Köbler, Ilia Ponomarenko, Oleg Verbitsky:
The Weisfeiler-Leman Algorithm and Recognition of Graph Properties. - Christopher X. Ren, Amanda Ziemann, James Theiler, Alice M. S. Durieux:
Deep Snow: Synthesizing Remote Sensing Imagery with Generative Adversarial Nets. - Pu Li, Xiaobai Liu, K. J. Palmer, Erica Fleishman, Douglas Gillespie, Eva-Marie Nosal, Yu Shiu, Holger Klinck, Danielle Cholewiak, Tyler A. Helble, Marie A. Roch:
Learning Deep Models from Synthetic Data for Extracting Dolphin Whistle Contours. - Vishesh Jain, Ashwin Sah, Mehtaab Sawhney:
On the real Davies' conjecture. - Markus Grasmair, Fredrik Hildrum:
Subgradient-based Lavrentiev regularisation of monotone ill-posed problems. - Sergey Alyaev, Mostafa Shahriari, David Pardo, Angel Javier Omella, David Larsen, Nazanin Jahani, Erich Suter:
Modeling extra-deep EM logs using a deep neural network. - Jess Banks, Jorge Garza-Vargas, Archit Kulkarni, Nikhil Srivastava:
Overlaps, Eigenvalue Gaps, and Pseudospectrum under real Ginibre and Absolutely Continuous Perturbations. - Vikram Menon, Ayan Chattopadhyay:
Quantum string comparison method. - Lars Grüne:
Computing Lyapunov functions using deep neural networks. - Abdulelah S. Alshehri, Rafiqul Gani, Fengqi You:
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design - Toward a Unified Approach: State-of-the-Art and Future Directions. - Daniel Di Benedetto, József Solymosi, Ethan Patrick White:
Combinatorics of intervals in the plane I: trapezoids. - Nawaf Nazir, Mads Almassalkhi:
Stochastic multi-period optimal dispatch of energy storage in unbalanced distribution feeders. - Guido Novati, Hugues Lascombes de Laroussilhe, Petros Koumoutsakos:
Automating Turbulence Modeling by Multi-Agent Reinforcement Learning. - Youssef Skandarani, Nathan Painchaud, Pierre-Marc Jodoin, Alain Lalande:
On the effectiveness of GAN generated cardiac MRIs for segmentation. - Saeed Saremi:
Learning and Inference in Imaginary Noise Models. - Alexander Rolle, Luis Scoccola:
Stable and consistent density-based clustering. - Christina Kumler-Bonfanti, Jebb Q. Stewart, David Hall, Mark Govett:
Tropical and Extratropical Cyclone Detection Using Deep Learning. - Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou:
Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation. - Shane T. Barratt, Guillermo Angeris, Stephen P. Boyd:
Optimal Representative Sample Weighting. - Sebastian Lotter, Arman Ahmadzadeh, Robert Schober:
Synaptic Channel Modeling for DMC: Neurotransmitter Uptake and Spillover in the Tripartite Synapse. - Kimberly Glock, Charlie Napier, Andre Louie, Todd Gary, Joseph Gigante, Qingguo Wang:
Measles Rash Image Detection Using Deep Convolutional Neural Network. - Linhai Ma, Liang Liang:
Improve robustness of DNN for ECG signal classification: a noise-to-signal ratio perspective. - Rémi Le Priol, Reza Babanezhad Harikandeh, Yoshua Bengio, Simon Lacoste-Julien:
An Analysis of the Adaptation Speed of Causal Models. - Yangyang Shi, Yongqiang Wang, Chunyang Wu, Christian Fuegen, Frank Zhang, Duc Le, Ching-Feng Yeh, Michael L. Seltzer:
Weak-Attention Suppression For Transformer Based Speech Recognition. - Tyler G. R. Reid, Bryan Chan, Ashish Goel, Kazuma Gunning, Brian Manning, Jerami Martin, Andrew Neish, Adrien Perkins, Paul M. Tarantino:
Satellite Navigation for the Age of Autonomy. - Brian J. Park, Stephen J. Hunt, Gregory J. Nadolski, Terence P. Gade:
3D Augmented Reality-Assisted CT-Guided Interventions: System Design and Preclinical Trial on an Abdominal Phantom using HoloLens 2. - Frank Zhang, Yongqiang Wang, Xiaohui Zhang, Chunxi Liu, Yatharth Saraf, Geoffrey Zweig:
Fast, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces. - Anqi Dong, Amirhossein Taghvaei, Tryphon T. Georgiou:
Lasso formulation of the shortest path problem. - Minhyeok Lee, Junhee Seok:
Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies. - Feng Qi, Guanjun Jiang:
Human-like general language processing. - Sookyung Joo, Xiang Xu, Yanxiang Zhao:
Analysis for Allen-Cahn-Ohta-Nakazawa Model in a Ternary System. - Wei Huang, Yong Zeng, Yongming Huang:
Achievable Rate Region of MISO Interference Channel Aided by Intelligent Reflecting Surface. - Tingle Li, Qingjian Lin, Yuanyuan Bao, Ming Li:
Atss-Net: Target Speaker Separation via Attention-based Neural Network. - Jiayu Huo, Liping Si, Xi Ouyang, Kai Xuan, Weiwu Yao, Zhong Xue, Lichi Zhang, Qian Wang:
A Self-ensembling Framework for Semi-supervised Knee Osteoarthritis Localization and Classification with Dual-Consistency. - Hong Wang, Yichen Wu, Qi Xie, Qian Zhao, Yong Liang, Deyu Meng:
Structural Residual Learning for Single Image Rain Removal. - Kaori Suefusa, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Yohei Kawaguchi:
Anomalous sound detection based on interpolation deep neural network. - Guanyang Wang:
On the Theoretical Properties of Exchange Algorithm. - Jürgen Geiser, Paul Mertin:
Numerical Simulations of Electrohydrodynamics flow model based on Burgers' Equation with Transport of Bubbles. - Kohei Matsuura, Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara:
Generative Adversarial Training Data Adaptation for Very Low-resource Automatic Speech Recognition. - Parvin Nazari, Davoud Ataee Tarzanagh, George Michailidis:
Adaptive First-and Zeroth-order Methods for Weakly Convex Stochastic Optimization Problems. - Bolaji Yusuf, Lucas Ondel:
Bayesian Subspace HMM for the Zerospeech 2020 Challenge. - George Sterpu, Christian Saam, Naomi Harte:
Should we hard-code the recurrence concept or learn it instead ? Exploring the Transformer architecture for Audio-Visual Speech Recognition. - Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu:
AdaptiveWeighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images. - Albert Zeyer, André Merboldt, Ralf Schlüter, Hermann Ney:
A New Training Pipeline for an Improved Neural Transducer. - Albert Zeyer, Wei Zhou, Thomas Ng, Ralf Schlüter, Hermann Ney:
Investigations on Phoneme-Based End-To-End Speech Recognition. - Jun Zhang:
Coalition and Core in Resource Allocation and Exchange. - Martin Fencl, Julián López-Gómez:
Global bifurcation diagrams of positive solutions for a class of 1-D superlinear indefinite problems. - Rituparna Sarkar, Suvadip Mukherjee, Elisabeth Labruyère, Jean-Christophe Olivo-Marin:
Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection. - Elhachemi Guerrout, Ramdane Mahiou, Dominique Michelucci, Randa Boukabene, Assia Ouali:
hidden markov random fields and cuckoo search method for medical image segmentation. - Raghu Vamshi Hemadri, Akshay Rayaluru, Rahul Jashvantbhai Pandya:
AEVB-Comm: An Intelligent CommunicationSystem based on AEVBs. - Hirofumi Inaguma, Masato Mimura, Tatsuya Kawahara:
Enhancing Monotonic Multihead Attention for Streaming ASR. - Yagmur Çakiroglu, Oguz Yayla, Emrah Sercan Yilmaz:
The number of irreducible polynomials over finite fields with vanishing trace and reciprocal trace. - Filippo Fabiani, Kostas Margellos, Paul J. Goulart:
On the robustness of equilibria in generalized aggregative games. - Benjamin van Niekerk, Leanne Nortje, Herman Kamper:
Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge. - Filippo Fabiani, Kostas Margellos, Paul J. Goulart:
Probabilistic feasibility guarantees for solution sets to uncertain variational inequalities. - Gregor Pasemann, Sven Flemming, Sergio Alonso, Carsten Beta, Wilhelm Stannat:
Diffusivity Estimation for Activator-Inhibitor Models: Theory and Application to Intracellular Dynamics of the Actin Cytoskeleton. - Giuseppe Genovese:
Minimax formula for the replica symmetric free energy of deep restricted Boltzmann machines. - Teruyoshi Kobayashi, Mathieu Génois:
A simple model for the macroscopic fluctuations of temporal networks. - Daniel Sonntag, Fabrizio Nunnari, Hans-Jürgen Profitlich:
The Skincare project, an interactive deep learning system for differential diagnosis of malignant skin lesions. Technical Report. - Yihua Sun:
Review on Computer Vision in Gastric Cancer: Potential Efficient Tools for Diagnosis. - Pramit Saha, Sidney S. Fels:
Learning Joint Articulatory-Acoustic Representations with Normalizing Flows. - Donald R. Reising, Joseph Cancelleri, T. Daniel Loveless, Farah I. Kandah, Anthony Skjellum:
Pre-print: Radio Identity Verification-based IoT Security Using RF-DNA Fingerprints and SVM. - Abhash Kumar, Jawar Singh, Sai Manohar Beeraka, Bharat Gupta:
In-memory Implementation of On-chip Trainable and Scalable ANN for AI/ML Applications. - Yitan Zhu, Thomas S. Brettin, Yvonne A. Evrard, Alexander Partin, Fangfang Xia, Maulik Shukla, Hyun Seung Yoo, James H. Doroshow, Rick Stevens:
Ensemble Transfer Learning for the Prediction of Anti-Cancer Drug Response. - Craig S. Kaplan, Jeffrey O. Shallit:
A Frameless 2-Coloring of the Plane Lattice. - Josefine Bohr Brask, Samuel Ellis, Darren P. Croft:
Animal social networks - an introduction for complex systems scientists. - Mohammad S. Majdi, Khalil N. Salman, Michael F. Morris, Nirav C. Merchant, Jeffrey J. Rodríguez:
Deep learning classification of chest x-ray images. - Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Jacob Steinhardt, Aleksander Madry:
Identifying Statistical Bias in Dataset Replication. - Daniel S. Park, Yu Zhang, Ye Jia, Wei Han, Chung-Cheng Chiu, Bo Li, Yonghui Wu, Quoc V. Le:
Improved Noisy Student Training for Automatic Speech Recognition. - Teeratorn Kadeethum, Thomas M. Jørgensen, Hamidreza M. Nick:
Physics-informed Neural Networks for Solving Inverse Problems of Nonlinear Biot's Equations: Batch Training. - Zhongming Xiang, Ge Ou, Abbas Rashidi:
An Innovative Approach to Determine Rebar Depth and Size by Comparing GPR Data with a Theoretical Database. - Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet, Austin J. Stromme:
Exponential ergodicity of mirror-Langevin diffusions. - Liang Lu, Changliang Liu, Jinyu Li, Yifan Gong:
Exploring Transformers for Large-Scale Speech Recognition. - Jesse A. Livezey, Joshua I. Glaser:
Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI. - Benjamin Braun, Basak Taraktas, Brian Beckage, Jane Molofsky:
Phase transitions and social distancing control measures for SARS-CoV-2 on small world networks. - Cal Peyser, Tara N. Sainath, Golan Pundak:
Improving Proper Noun Recognition in End-to-End ASR By Customization of the MWER Loss Criterion. - Bastian Seifert, Markus Püschel:
Digraph Signal Processing with Generalized Boundary Conditions. - Dufan Wu, Hui Ren, Quanzheng Li:
Self-supervised Dynamic CT Perfusion Image Denoising with Deep Neural Networks. - Alejandro Osses Vecchi, Armin Kohlrausch:
Perceptual similarity between piano notes: Simulations with a template-based perception model. - Paulo Manrique-Mirón:
Random Toeplitz Matrices: The Condition Number under High Stochastic Dependence. - Vidya Raju, P. S. Krishnaprasad:
Lie algebra structure of fitness and replicator control. - Yiwen Shao, Yiming Wang, Daniel Povey, Sanjeev Khudanpur:
PyChain: A Fully Parallelized PyTorch Implementation of LF-MMI for End-to-End ASR. - Cheng Zhang, Qingsen Yan, Yu Zhu, Xianjun Li, Jinqiu Sun, Yanning Zhang:
Attention-based network for low-light image enhancement. - Tomohiro Nakatani, Christoph Böddeker, Keisuke Kinoshita, Rintaro Ikeshita, Marc Delcroix, Reinhold Haeb-Umbach:
Jointly optimal denoising, dereverberation, and source separation. - Loring J. Thomas, Peng Huang, Fan Yin, Xiaoshuang Iris Luo, Zack W. Almquist, John R. Hipp, Carter T. Butts:
Spatial Heterogeneity Can Lead to Substantial Local Variations in COVID-19 Timing and Severity. - Dongwei Jiang, Wubo Li, Ruixiong Zhang, Miao Cao, Ne Luo, Yang Han, Wei Zou, Xiangang Li:
A Further Study of Unsupervised Pre-training for Transformer Based Speech Recognition. - Paul Escande, Pierre Weiss:
Fast Wavelet Decomposition of Linear Operators through Product-Convolution Expansions. - Kohei Yatabe:
Consistent ICA: Determined BSS meets spectrogram consistency. - L. Maestrini, M. P. Wand:
The Inverse G-Wishart Distribution and Variational Message Passing. - Tengel Ekrem Skar, Einar J. Holsbø, Kristian Svendsen, Lars Ailo Bongo:
Interactive exploration of population scale pharmacoepidemiology datasets. - Natalia Shepeleva, Werner Zellinger, Michal Lewandowski, Bernhard Moser:
ReLU Code Space: A Basis for Rating Network Quality Besides Accuracy. - Jens Heitkaemper, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments. - Shota Horiguchi, Yusuke Fujita, Shinji Watanabe, Yawen Xue, Kenji Nagamatsu:
End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors. - Kunal Dutta:
On Limit Constants in Last Passage Percolation in Transitive Tournaments. - Kuo Gai, Shihua Zhang:
Tessellated Wasserstein Auto-Encoders. - Ngoc-Quan Pham, Thanh-Le Ha, Tuan-Nam Nguyen, Thai-Son Nguyen, Elizabeth Salesky, Sebastian Stüker, Jan Niehues, Alexander Waibel:
Relative Positional Encoding for Speech Recognition and Direct Translation. - André R. Brodtkorb, Anna Benedictow, Heiko Klein, Arve Kylling, Agnes Nyiri, Alvaro Valdebenito, Espen Sollum:
Estimating volcanic ash emissions using retrieved satellite ash columns and inverse ash transport modelling. - Martin Fencl, Julián López-Gómez:
Nodal solutions of weighted indefinite problems. - Yuqing Liu, Shiqi Wang, Jian Zhang, Shanshe Wang, Siwei Ma, Wen Gao:
Iterative Network for Image Super-Resolution. - Ahmet M. Elbir, Sinem Coleri:
Federated Deep Learning Framework For Hybrid Beamforming in mm-Wave Massive MIMO. - Oliver Rippel, Leon Weninger, Dorit Merhof:
AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018. - Kenny Storgel:
Improved bounds for some facially constrained colorings. - Branislav Gerazov, Daniel R. van Niekerk, Anqi Xu, Paul Konstantin Krug, Peter Birkholz, Yi Xu:
Evaluating Features and Metrics for High-Quality Simulation of Early Vocal Learning of Vowels. - Raian Noufel Lefgoum:
Iterative Domain Optimization. - Juste Raimbault, Eric Denis, Denise Pumain:
Empowering Urban Governance through Urban Science: Multi-scale Dynamics of Urban Systems Worldwide. - Paul-André Melliès, Nicolas Rolland:
Comprehension and quotient structures in the language of 2-categories. - Maciej Skorski:
Revisiting Concentration of Missing Mass. - Yixing Huang, Alexander Preuhs, Michael Manhart, Guenter Lauritsch, Andreas K. Maier:
Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images. - Antoine Blanchard, Themistoklis P. Sapsis:
Informative Path Planning for Anomaly Detection in Environment Exploration and Monitoring. - Baris Kanber:
Sparse data to structured imageset transformation. - Wilfried Michel, Ralf Schlüter, Hermann Ney:
Early Stage LM Integration Using Local and Global Log-Linear Combination. - Raghavendra Selvan, Erik B. Dam, Sofus Rischel, Kaining Sheng, Mads Nielsen, Akshay Pai:
Lung Segmentation from Chest X-rays using Variational Data Imputation. - Sergey Slavnov:
On embedding Lambek calculus into commutative categorial grammars. - Huaiqian You, Yue Yu, Nathaniel Trask, Mamikon A. Gulian, Marta D'Elia:
Data-driven learning of robust nonlocal physics from high-fidelity synthetic data. - Rupert McCallum:
Proving P!=NP in first-order PA. - Florent Bouchard, Ammar Mian, Jialun Zhou, Salem Said, Guillaume Ginolhac, Yannick Berthoumieu:
Riemannian geometry for Compound Gaussian distributions: application to recursive change detection. - Jingjing Huo, Yingbo Gao, Weiyue Wang, Ralf Schlüter, Hermann Ney:
Investigation of Large-Margin Softmax in Neural Language Modeling. - Yuhao Zhou, Jiaxin Shi, Jun Zhu:
Nonparametric Score Estimators. - Linhao Dong, Cheng Yi, Jianzong Wang, Shiyu Zhou, Shuang Xu, Xueli Jia, Bo Xu:
A Comparison of Label-Synchronous and Frame-Synchronous End-to-End Models for Speech Recognition. - Mariflor Vega-Carrasco, Jason O'sullivan, Rosie Prior, Ioanna Manolopoulou, Mirco Musolesi:
Modelling Grocery Retail Topic Distributions: Evaluation, Interpretability and Stability. - Eduardo Avila, Márcio Dorn, Clarice Sampaio Alho, Alessandro Kahmann:
Hemogram Data as a Tool for Decision-making in COVID-19 Management: Applications to Resource Scarcity Scenarios. - Marko Stamenovic:
Towards Cover Song Detection with Siamese Convolutional Neural Networks. - Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala:
Sensor Networks TDOA Self-Calibration: 2D Complexity Analysis and Solutions. - Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Martin Lindvall, Jonas Unger:
A Study of Deep Learning Colon Cancer Detection in Limited Data Access Scenarios. - Jussi Leinonen, Daniele Nerini, Alexis Berne:
Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial Network. - Meng Yu, Xuan Ji, Bo Wu, Dan Su, Dong Yu:
End-to-End Multi-Look Keyword Spotting. - Yusuke Yasuda, Xin Wang, Junichi Yamagishi:
Investigation of learning abilities on linguistic features in sequence-to-sequence text-to-speech synthesis. - Hemlata Tak, Jose Patino, Andreas Nautsch, Nicholas W. D. Evans, Massimiliano Todisco:
Spoofing Attack Detection using the Non-linear Fusion of Sub-band Classifiers. - Vladislav V. Kravchenko, Sergii M. Torba:
An improved Neumann series of Bessel functions representation for solutions of perturbed Bessel equations. - Andrew Hard, Kurt Partridge, Cameron Nguyen, Niranjan Subrahmanya, Aishanee Shah, Pai Zhu, Ignacio López-Moreno, Rajiv Mathews:
Training Keyword Spotting Models on Non-IID Data with Federated Learning. - Zhiping Zeng, Van Tung Pham, Haihua Xu, Yerbolat Khassanov, Eng Siong Chng, Chongjia Ni, Bin Ma:
Leveraging Text Data Using Hybrid Transformer-LSTM Based End-to-End ASR in Transfer Learning. - Jun Yu, HaiYing Wang, Mingyao Ai, Huiming Zhang:
Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data. - Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen:
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation. - Zexin Cai, Yaogen Yang, Ming Li:
Cross-lingual Multispeaker Text-to-Speech under Limited-Data Scenario. - Matin Macktoobian, Denis Gillet, Jean-Paul Kneib:
Complete coordination of robotic fiber positioners for massive spectroscopic surveys. - Wenjie Ai, Xiaoguang Tu, Shilei Cheng, Mei Xie:
Single Image Super-Resolution via Residual Neuron Attention Networks. - Sunghee Jung, Hoirin Kim:
Pitchtron: Towards audiobook generation from ordinary people's voices. - Jing Pan, Joshua Shapiro, Jeremy Wohlwend, Kyu Jeong Han, Tao Lei, Tao Ma:
ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition. - Kyu Jeong Han, Jing Pan, Venkata Krishna Naveen Tadala, Tao Ma, Dan Povey:
Multistream CNN for Robust Acoustic Modeling. - Wangyou Zhang, Aswin Shanmugam Subramanian, Xuankai Chang, Shinji Watanabe, Yanmin Qian:
End-to-End Far-Field Speech Recognition with Unified Dereverberation and Beamforming. - Gherardo Varando, Niels Richard Hansen:
Graphical continuous Lyapunov models. - Yutao Tang:
Multi-agent Optimal Consensus with Unknown Control Directions. - Yutao Tang, Ding Wang:
Neural Network-based Constrained Optimal Coordination for Heterogeneous Uncertain Nonlinear Multi-agent Systems. - Xiangjie Sui, Kede Ma, Yiru Yao, Yuming Fang:
Omnidirectional Images as Moving Camera Videos. - Neeraj Kumar Sharma, Prashant Krishnan V, Rohit Kumar, Shreyas Ramoji, Srikanth Raj Chetupalli, Nirmala R., Prasanta Kumar Ghosh, Sriram Ganapathy:
Coswara - A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis. - Soham Jana, Yury Polyanskiy, Yihong Wu:
Extrapolating the profile of a finite population. - Shusen Pu, Peter J. Thomas:
Fast and Accurate Langevin Simulations of Stochastic Hodgkin-Huxley Dynamics. - Makoto Naraoka, Teruaki Hayashi, Yukio Ohsawa, Takaaki Yoshino, Toshiaki Sugie, Kota Takano:
Detecting and explaining changes in various assets' relationships in financial markets. - Jhih-Yuan Lin, Yu-Cheng Chang, Winston H. Hsu:
Efficient and Phase-aware Video Super-resolution for Cardiac MRI. - Zhaofeng Wu, Ding Zhao, Qiao Liang, Jiahui Yu, Anmol Gulati, Ruoming Pang:
Dynamic Sparsity Neural Networks for Automatic Speech Recognition. - Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski:
Hidden Markov Chains, Entropic Forward-Backward, and Part-Of-Speech Tagging. - Alun Stokes, William Hum, Jonathan Zaslavsky:
A Minimal-Input Multilayer Perceptron for Predicting Drug-Drug Interactions Without Knowledge of Drug Structure. - Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié:
An Optimal Algorithm for Decentralized Finite Sum Optimization. - Nripendra Kumar Singh, Khalid Raza:
Medical Image Generation using Generative Adversarial Networks. - Hamed Vakili, Mohammad Nazmus Sakib, Samiran Ganguly, Mircea Stan, Matthew W. Daniels, Advait Madhavan, Mark D. Stiles, Avik W. Ghosh:
Temporal Memory with Magnetic Racetracks. - Devaun McFarland, Homayoun Valafar:
Assessing the Precision and Recall of msTALI as Applied to an Active-Site Study on Fold Families. - Yuetian Luo, Anru Zhang:
Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits. - Eduard Gorbunov, Marina Danilova, Alexander V. Gasnikov:
Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping. - Marcelo Menezes Morato, Saulo Benchimol Bastos, Daniel Oliveira Cajueiro, Julio Elias Normey-Rico:
An Optimal Predictive Control Strategy for COVID-19 (SARS-CoV-2) Social Distancing Policies in Brazil. - Wang Dai, Jinsong Zhang, Yingming Gao, Wei Wei, Dengfeng Ke, Binghuai Lin, Yanlu Xie:
Formant Tracking Using Dilated Convolutional Networks Through Dense Connection with Gating Mechanism. - Weinan E, Stephan Wojtowytsch:
Kolmogorov Width Decay and Poor Approximators in Machine Learning: Shallow Neural Networks, Random Feature Models and Neural Tangent Kernels. - Matthias Löffler, Alexander S. Wein, Afonso S. Bandeira:
Computationally efficient sparse clustering. - Xiangxiang Zeng, Xiang Song, Tengfei Ma, Xiaoqin Pan, Yadi Zhou, Yuan Hou, Zheng Zhang, George Karypis, Feixiong Cheng:
Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning. - Peter Bradshaw, Seyyed Aliasghar Hosseini, Bojan Mohar, Ladislav Stacho:
On the cop number of graphs of high girth. - (Withdrawn) Hyperspectral Unmixing Network Inspired by Unfolding an Optimization Problem.
- Minjia Shi, Shukai Wang, Xiaoxiao Li, Denis S. Krotov:
On the number of frequency hypercubes Fn(4;2, 2). - Satoshi Kako, Timothée G. Leleu, Yoshitaka Inui, Farad Khoyratee, Yoshihisa Yamamoto:
Coherent Ising machines with error correction feedback. - Artur M. Schweidtmann, Dominik Bongartz, Daniel Grothe, Tim Kerkenhoff, Xiaopeng Lin, Jaromil Najman, Alexander Mitsos:
Global Optimization of Gaussian processes. - Prudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, Charles L. Bormann, Raghav Gupta, Rohan Pooniwala, Hemanth Kandula, Irene Souter, Irene Dimitriadis, Hadi Shafiee:
Evaluation of deep convolutional neural networks in classifying human embryo images based on their morphological quality. - Rahul Mehta, Müge Karaman:
Correlated Mixed Membership Modeling of Somatic Mutations. - James Melbourne, Tomasz Tkocz:
Reversals of Rényi Entropy Inequalities under Log-Concavity. - Jonathan J. Mize:
A Novel Semantics for Belief, Knowledge and Psychological Alethic Modality. - Yiping Wang, David Farnell, Hossein Farahani, Mitchell Nursey, Basile Tessier-Cloutier, Steven J. M. Jones, David G. Huntsman, C. Blake Gilks, Ali Bashashati:
Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer Learning. - Yongxin Chen, Tryphon T. Georgiou, Michele Pavon:
Stochastic control liasons: Richard Sinkhorn meets Gaspard Monge on a Schroedinger bridge. - Seon-Woo Lee, YuHyeon Tak, HoJun Yang, JaeHeung Yang, GangMin Lim, Kyusung Kim, ByeongKeun Choi, Jangwoo Kwon:
Deep learning application of vibration data for predictive maintenance of gravity acceleration equipment. - Jieli Zhou, Baoyu Jing, Zeya Wang:
SODA: Detecting Covid-19 in Chest X-rays with Semi-supervised Open Set Domain Adaptation. - Hieu-Thi Luong, Junichi Yamagishi:
NAUTILUS: a Versatile Voice Cloning System. - Matthieu Paturet, Uros Markovic, Stefanos Delikaraoglou, Evangelos Vrettos, Petros Aristidou, Gabriela Hug:
Economic Valuation and Pricing of Inertia in Inverter-Dominated Power Systems. - Ashwin Venkatraman, Uros Markovic, Dmitry Shchetinin, Evangelos Vrettos, Petros Aristidou, Gabriela Hug:
Improving Dynamic Performance of Low-Inertia Systems through Eigensensitivity Optimization. - Maxime Chamberland, Sila Genc, Erika P. Raven, Greg D. Parker, Adam Cunningham, Joanne Doherty, Marianne B. M. van den Bree, Chantal M. W. Tax, Derek K. Jones:
Tractometry-based Anomaly Detection for Single-subject White Matter Analysis. - Yuanxin Ye, Chao Yang, Bai Zhu, Youquan He:
Misregistration Measurement and Improvement for Sentinel-1 SAR and Sentinel-2 Optical images. - Ziheng Duan, Daniel Montes, Yangsibo Huang, Dufan Wu, Javier M. Romero, Ramon Gilberto Gonzalez, Quanzheng Li:
Deep Learning Based Detection and Localization of Cerebal Aneurysms in Computed Tomography Angiography. - Mostafa Kiani:
On the suitability of generalized regression neural networks for GNSS position time series prediction for geodetic applications in geodesy and geophysics. - Kisung You:
Rdimtools: An R package for Dimension Reduction and Intrinsic Dimension Estimation. - Jakob Lindinger, David Reeb, Christoph Lippert, Barbara Rakitsch:
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties. - Ansgar Steland:
Extreme Learning and Regression for Objects Moving in Non-Stationary Spatial Environments. - Jaehyeon Kim, Sungwon Kim, Jungil Kong, Sungroh Yoon:
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search. - Igor Fedorov, Marko Stamenovic, Carl Jensen, Li-Chia Yang, Ari Mandell, Yiming Gan, Matthew Mattina, Paul N. Whatmough:
TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids. - Hailan Ma, Chang-Jiang Huang, Chunlin Chen, Daoyi Dong, Yuanlong Wang, Rebing Wu, Guo-Yong Xiang:
On compression rate of quantum autoencoders: Control design, numerical and experimental realization. - Thejan Rajapakshe, Siddique Latif, Rajib Rana, Sara Khalifa, Björn W. Schuller:
Deep Reinforcement Learning with Pre-training for Time-efficient Training of Automatic Speech Recognition. - Evangelos Galaris, Ioannis Gallos, Ivan Myatchin, Lieven Lagae, Constantinos I. Siettos:
EEG source localization analysis in epileptic children during a visual working-memory task. - Ashkan Javaherian, Felix Lucka, Ben T. Cox:
Refraction-corrected ray-based inversion for three-dimensional ultrasound tomography of the breast. - Alexander I. Barvinok, Nicholas Barvinok:
More on zeros and approximation of the Ising partition function. - Xinyang Wang:
Cooperation in Small Groups - an Optimal Transport Approach. - Amit Chandak, Debojyoti Dey, Bhaskar Mukhoty, Purushottam Kar:
Epidemiologically and Socio-economically Optimal Policies via Bayesian Optimization. - Yunzi Ding, Dmitriy Kunisky, Alexander S. Wein, Afonso S. Bandeira:
The Average-Case Time Complexity of Certifying the Restricted Isometry Property. - Guilhem Semerjian, Gabriele Sicuro, Lenka Zdeborová:
Recovery thresholds in the sparse planted matching problem. - Eric Ngondiep:
An efficient explicit approach for predicting the Covid-19 spreading with undetected infectious: The case of Cameroon. - Michael Booth, Jesse Berwald, Uchenna Chukwu, John Dawson, Raouf Dridi, DeYung Le, Mark Wainger, Steven P. Reinhardt:
QCI Qbsolv Delivers Strong Classical Performance for Quantum-Ready Formulation. - Thomas Foster, Chon Lok Lei, Martin Robinson, David Gavaghan, Ben Lambert:
Model Evidence with Fast Tree Based Quadrature. - Xavier Rafael-Palou, Anton Aubanell, Ilaria Bonavita, Mario Ceresa, Gemma Piella, Vicent J. Ribas, Miguel Ángel González Ballester:
Pulmonary Nodule Malignancy Classification Using its Temporal Evolution with Two-Stream 3D Convolutional Neural Networks. - Dimitri Leandro de Oliveira Silva, Tito Spadini, Ricardo Suyama:
Microphone Array Based Surveillance Audio Classification. - Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno:
Speaker diarization with session-level speaker embedding refinement using graph neural networks. - Yifan Chen, Houman Owhadi, Andrew M. Stuart:
Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation. - Nail A. Gumerov, Ross N. Adelman, Ramani Duraiswami:
Boundary Element Solution of Electromagnetic Fields for Non-Perfect Conductors at Low Frequencies and Thin Skin Depths. - Pedro Cisneros-Velarde, Francesco Bullo:
Multi-group SIS Epidemics with Simplicial and Higher-Order Interactions. - Junzhe Zhu, Mark Hasegawa-Johnson, Leda Sari:
Identify Speakers in Cocktail Parties with End-to-End Attention. - Aviad Levis, Yoav Y. Schechner, Anthony B. Davis, Jesse Loveridge:
Multi-view polarimetric scattering cloud tomography and retrieval of droplet size. - Deniz Mengu, Yifan Zhao, Nezih T. Yardimci, Yair Rivenson, Mona Jarrahi, Aydogan Ozcan:
Misalignment Resilient Diffractive Optical Networks. - Anas M. Tahir, Yazan Qiblawey, Amith Khandakar, Tawsifur Rahman, Uzair Khurshid, Farayi Musharavati, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury:
Coronavirus: Comparing COVID-19, SARS and MERS in the eyes of AI. - Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin, Robert Schober:
Joint Deployment and Multiple Access Design for Intelligent Reflecting Surface Assisted Networks. - Wennan Chang, Xinyu Zhou, Yong Zang, Chi Zhang, Sha Cao:
A New Algorithm using Component-wise Adaptive Trimming For Robust Mixture Regression. - Ke Li, Haifeng Nie, Huiru Gao, Xin Yao:
Knee Point Identification Based on Trade-Off Utility. - Yuichiro Koyama, Tyler Vuong, Stefan Uhlich, Bhiksha Raj:
Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks. - Yuichiro Koyama, Oluwafemi Azeez, Bhiksha Raj:
Efficient Integration of Multi-channel Information for Speaker-independent Speech Separation. - Omid Daei, Keivan Navi, Mariam Zomorodi Moghadam:
Optimized Quantum Circuit Partitioning. - Ang Li, Chunpeng Wu, Yiran Chen, Bin Ni:
MVStylizer: An Efficient Edge-Assisted Video Photorealistic Style Transfer System for Mobile Phones. - Richard Rohwer:
The Optimal 'AND'. - Shaokang Hu, Zhiqiang Wei, Yuanxin Cai, Derrick Wing Kwan Ng, Jinhong Yuan:
Sum-Rate Maximization for Multiuser MISO Downlink Systems with Self-sustainable IRS. - Amandeep Singh Bhatia, Ajay Kumar:
Quadratic Sieve Factorization Quantum Algorithm and its Simulation. - Thomas Drugman, Thomas Dubuisson, Alexis Moinet, Nicolas D'Alessandro, Thierry Dutoit:
Glottal source estimation robustness: A comparison of sensitivity of voice source estimation techniques. - Ralf Möller:
Derivation of Symmetric PCA Learning Rules from a Novel Objective Function. - Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey. - Piotr Nayar, Szymon Zwara:
Sharp variance-entropy comparison for nonnegative gaussian quadratic forms. - Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala:
A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection. - Shi Jin, Lei Li:
On the mean field limit of Random Batch Method for interacting particle systems. - Virginia Aglietti, Xiaoyu Lu, Andrei Paleyes, Javier González:
Causal Bayesian Optimization. - Paulina Pankowska, Daniel L. Oberski:
The effect of measurement error on clustering algorithms. - Chi-Chang Lee, Yu-Chen Lin, Hsuan-Tien Lin, Hsin-Min Wang, Yu Tsao:
SERIL: Noise Adaptive Speech Enhancement using Regularization-based Incremental Learning. - Alexander L. Gavrilyuk, Roman Nedela, Ilia Ponomarenko:
The Weisfeiler-Leman dimension of distance-hereditary graphs. - Shang-Yi Chuang, Yu Tsao, Chen-Chou Lo, Hsin-Min Wang:
Lite Audio-Visual Speech Enhancement. - Junjie Liang, Yanting Wu, Dongkuan Xu, Vasant G. Honavar:
Longitudinal Deep Kernel Gaussian Process Regression. - Murong Ma, Haiwei Wu, Xuyang Wang, Lin Yang, Junjie Wang, Ming Li:
Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection. - Deepanshu Vasal:
Model-free Reinforcement Learning for Stochastic Stackelberg Security Games. - Joseph Paul Cohen, Lan Dao, Paul Morrison, Karsten Roth, Yoshua Bengio, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Marzyeh Ghassemi, Haifang Li, Tim Q. Duong:
Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning. - V. Balaji:
Climbing down Charney's ladder: Machine Learning and the post-Dennard era of computational climate science. - Gengyan Zhao, Mary E. Meyerand, Rasmus M. Birn:
Bayesian Conditional GAN for MRI Brain Image Synthesis. - Zhou Fan, Zhichao Wang:
Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks. - Jiaye Lin, Yuze Zou, Xiaoru Dong, Shimin Gong, Dinh Thai Hoang, Dusit Niyato:
Optimization-driven Deep Reinforcement Learning for Robust Beamforming in IRS-assisted Wireless Communications. - Ronan Perry, Gavin Mischler, Richard Guo, Theo Lee, Alexander Chang, Arman Koul, Cameron Franz, Joshua T. Vogelstein:
mvlearn: Multiview Machine Learning in Python. - Yanshuai Tu, Duyan Ta, Zhonglin Lu, Yalin Wang:
Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmuller Map in Retinotopic Mapping. - Tryphon T. Georgiou, Anders Lindquist:
On a Fejer-Riesz factorization of generalized trigonometric polynomials. - Sheng Wang, Jiayu Huo, Xi Ouyang, Jifei Che, Xuhua Ren, Zhong Xue, Qian Wang, Jie-Zhi Cheng:
mr2NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography. - Arshyn Altybay, Michael V. Ruzhansky, Mohammed Elamine Sebih, Niyaz Tokmagambetov:
Tsunami propagation for singular topographies. - Anurag Lal, Ming-Hsien Hu, Pei-Yuan Lee, Min-Liang Wang:
A Novel Approach of using AR and Smart Surgical Glasses Supported Trauma Care. - Bi-Cheng Yan, Meng-Che Wu, Hsiao-Tsung Hung, Berlin Chen:
An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling. - Maxim Pisov, Vladimir Kondratenko, Alexey Zakharov, Alexey Petraikin, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev:
Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification. - Renlong Hang, Zhu Li, Qingshan Liu, Pedram Ghamisi, Shuvra S. Bhattacharyya:
Hyperspectral Image Classification with Attention Aided CNNs. - Markus Banagl, Tim Mäder, Filip Sadlo:
Stratified Formal Deformations and Intersection Homology of Data Point Clouds. - Oguzhan Karaahmetoglu, Fatih Ilhan, Ismail Balaban, Suleyman Serdar Kozat:
Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks. - Kenta Yamamoto, Ryota Kawamura, Kazuki Takazawa, Hiroyuki Osone, Yoichi Ochiai:
A Preliminary Study for Identification of Additive Manufactured Objects with Transmitted Images. - Seyed Mostafa Kia, Hester Huijsdens, Richard Dinga, Thomas Wolfers, Maarten Mennes, Ole A. Andreassen, Lars T. Westlye, Christian F. Beckmann, Andre F. Marquand:
Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data. - Sarah Schmell, Falk Zakrzewski, Walter de Back, Martin Weigert, Uwe Schmidt, Torsten Wenke, Silke Zeugner, Robert Mantey, Christian Sperling, Ingo Roeder, Pia Hoenscheid, Daniela Aust, Gustavo Baretton:
An interpretable automated detection system for FISH-based HER2 oncogene amplification testing in histo-pathological routine images of breast and gastric cancer diagnostics. - Konstantin Dobratulin, Andrey Gaidel, Irina Aupova, Anna Ivleva, Aleksandr Kapishnikov, Pavel Zelter:
The efficiency of deep learning algorithms for detecting anatomical reference points on radiological images of the head profile. - Mathis Petrovich, Chao Liang, Yanbin Liu, Yao-Hung Hubert Tsai, Linchao Zhu, Yi Yang, Ruslan Salakhutdinov, Makoto Yamada:
Feature Robust Optimal Transport for High-dimensional Data. - Matthew Davidow, David S. Matteson:
Factor Analysis of Mixed Data for Anomaly Detection. - Manuel Dalcastagné, Andrea Mariello, Roberto Battiti:
Reactive Sample Size for Heuristic Search in Simulation-based Optimization. - Daniel Padé, Stephen A. Fenner, Daniel Grier, Thomas Thierauf:
Depth-2 QAC circuits cannot simulate quantum parity. - Menghong Feng, Noman Bashir, Prashant J. Shenoy, David E. Irwin, Beka Kosanovic:
SunDown: Model-driven Per-Panel Solar Anomaly Detection for Residential Arrays. - Steven Finch:
Variance of Longest Run Duration in a Random Bitstring. - Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan L. Yuille, Le Lu, Chien-Hung Liao, Adam P. Harrison:
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans. - N. Pytheas Fogg, Camille Noûs:
Symbolic coding of linear complexity for generic translations of the torus, using continued fractions. - Paul Ferrand, Alexis Decurninge, Luis Garcia Ordóñez, Maxime Guillaud:
Triplet-Based Wireless Channel Charting. - Can Chen, Anthony M. Bloch, Indika Rajapakse:
Controllability of Uniform Hypergraphs. - Alexandre Salles da Cunha:
Improved Formulations and Branch-and-cut Algorithms for the Angular Constrained Minimum Spanning Tree Problem. - Jonathan M. Baker, Casey Duckering, Alexander Hoover, Frederic T. Chong:
Time-Sliced Quantum Circuit Partitioning for Modular Architectures. - Seid Miad Zandavi, Taha Hossein Rashidi, Fatemeh Vafaee:
Forecasting the Spread of Covid-19 Under Control Scenarios Using LSTM and Dynamic Behavioral Models. - Mathias Soeken, Martin Roetteler:
Quantum Circuits for Functionally Controlled NOT Gates. - Alessandro Ingrosso:
Optimal Learning with Excitatory and Inhibitory synapses. - Ioannis Gallos, Evangelos Galaris, Constantinos I. Siettos:
Construction of embedded fMRI resting state functional connectivity networks using manifold learning. - Daqian Sun, Martin T. Wells:
Robust Matrix Completion with Mixed Data Types. - Bin Han, Ran Lu:
Multivariate Quasi-tight Framelets with High Balancing Orders Derived from Any Refinable Vector Functions. - Kunal Sharma, Marco Cerezo, Lukasz Cincio, Patrick J. Coles:
Trainability of Dissipative Perceptron-Based Quantum Neural Networks. - Sima Esfandiarpour Borujeni, Nam H. Nguyen, Saideep Nannapaneni, Elizabeth C. Behrman, James Edward Steck:
Experimental evaluation of quantum Bayesian networks on IBM QX hardware. - Leslie Ching Ow Tiong, Jeongrae Kim, Sang-Soo Han, Donghun Kim:
Identification of Crystal Symmetry from Noisy Diffraction Patterns by A Shape Analysis and Deep Learning. - Ramkumar Harikrishnakumar, Saideep Nannapaneni, Nam H. Nguyen, James Edward Steck, Elizabeth C. Behrman:
A Quantum Annealing Approach for Dynamic Multi-Depot Capacitated Vehicle Routing Problem. - Büsra Özden, Oguz Yayla:
Partial direct product difference sets and sequences with ideal autocorrelation. - Fernanda L. Ribeiro, Steffen Bollmann, Alexander M. Puckett:
DeepRetinotopy: Predicting the Functional Organization of Human Visual Cortex from Structural MRI Data using Geometric Deep Learning. - Dongyang Dai, Li Chen, Yuping Wang, Mu Wang, Rui Xia, Xuchen Song, Zhiyong Wu, Yuxuan Wang:
Noise Robust TTS for Low Resource Speakers using Pre-trained Model and Speech Enhancement. - Philippe Chartier, Mohammed Lemou, Léopold Trémant:
Uniformly accurate numerical schemes for a class of dissipative systems. - Marco D'Orazio, Gabriele Bernardini, Enrico Quagliarini:
Sustainable and resilient strategies for touristic cities against COVID-19: an agent-based approach. - Helena Bergold, Stefan Felsner, Manfred Scheucher, Felix Schröder, Raphael Steiner:
Topological Drawings meet Classical Theorems from Convex Geometry. - Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Amina Bolatkan, Mototaka Miyake, Hirokazu Watanabe, Masamichi Takahashi, Naoki Mihara, Jun Itami, Tatsuya Harada, Ryuji Hamamoto:
Unsupervised Brain Abnormality Detection Using High Fidelity Image Reconstruction Networks. - Feng Ye, Zhijie Xia, Min Dai, Zhisheng Zhang:
Real-Time Fault Detection and Process Control Based on Multi-channel Sensor Data Fusion. - Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo:
Perceptual Extreme Super Resolution Network with Receptive Field Block. - Chang Liu, Kun Xu:
A Unified Gas-kinetic Scheme for Micro Flow Simulation Based on Linearized Kinetic Equation. - Pierre-Cyril Aubin-Frankowski, Zoltán Szabó:
Hard Shape-Constrained Kernel Machines. - Dainis Zegners, Uwe Sunde, Anthony Strittmatter:
On the Causes and Consequences of Deviations from Rational Behavior. - Konstantin Posch, Christian Truden, Philipp Hungerländer, Jürgen Pilz:
A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants. - Alistair Letcher:
On the Impossibility of Global Convergence in Multi-Loss Optimization. - Yuichiro Koyama, Bhiksha Raj:
Exploring Optimal DNN Architecture for End-to-End Beamformers Based on Time-frequency References. - Zhifang Gu, He Henry Chen, Pingping Xu, Yonghui Li, Branka Vucetic:
Physical Layer Authentication for Non-Coherent Massive SIMO-Enabled Industrial IoT Communications. - Sebastian Pina-Otey, Federico Sánchez, Thorsten Lux, Vicens Gaitan:
Exhaustive Neural Importance Sampling applied to Monte Carlo event generation. - Oliver Mey, Willi Neudeck, André Schneider, Olaf Enge-Rosenblatt:
Machine Learning-Based Unbalance Detection of a Rotating Shaft Using Vibration Data. - Anthony Bonato, Melissa A. Huggan, Trent G. Marbach:
The localization number of designs. - Habib Ammari, Bryn Davies:
A biomimetic basis for the perception of natural sounds. - Shiyu Duan, Huaijin G. Chen, Jinwei Gu:
JPAD-SE: High-Level Semantics for Joint Perception-Accuracy-Distortion Enhancement in Image Compression. - Éric Duchêne, Stéphane Gonzalez, Aline Parreau, Eric Rémila, Philippe Solal:
INFLUENCE: a partizan scoring game on graphs. - Ellis Wilson, Sudhakar Singh, Frank Mueller:
Just-in-time Quantum Circuit Transpilation Reduces Noise. - M. Alamgir Hossain, Petra M. Menz, John M. Stockie:
An open-access clicker question bank for numerical analysis. - Bo Li, Marius de Groot, Rebecca M. E. Steketee, Rozanna Meijboom, Marion Smits, Meike W. Vernooij, Mohammad Arfan Ikram, Jiren Liu, Wiro J. Niessen, Esther E. Bron:
Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging. - Gürkan Solmaz, Jonathan Fürst, Samet Aytaç, Fang-Jing Wu:
Group-In: Group Inference from Wireless Traces of Mobile Devices. - Monjoy Saha, Amit Kumar Ray, Swapan Kumar Basu:
3D CA model of tumor-induced angiogenesis. - Alexander Wong, Zhong Qiu Lin, Linda Wang, Audrey G. Chung, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Timothy Q. Duong:
Towards computer-aided severity assessment: training and validation of deep neural networks for geographic extent and opacity extent scoring of chest X-rays for SARS-CoV-2 lung disease severity. - Dominic C. Rose, Jamie F. Mair, Juan P. Garrahan:
A reinforcement learning approach to rare trajectory sampling. - Aniello Lampo, Javier Borge-Holthoefer, Sergio Gómez, Albert Solé-Ribalta:
Multiple abrupt phase transitions in urban transport congestion. - Amit Agarwal, James Bartusek, Vipul Goyal, Dakshita Khurana, Giulio Malavolta:
Post-Quantum Multi-Party Computation in Constant Rounds. - Ziyu Xu, Chen Dan, Justin Khim, Pradeep Ravikumar:
Class-Weighted Classification: Trade-offs and Robust Approaches. - Bingzhi Zhang, Quntao Zhuang:
Entanglement formation in continuous-variable random quantum networks. - Xiangji Wu, Ziwen Zhang, Jie Feng, Lei Zhou, Junmin Wu:
End-to-end Optimized Video Compression with MV-Residual Prediction. - Phan Huy Kinh, Viet Lam Phung, Anh Tuan Dinh, Quoc Bao Nguyen:
A comparison of Vietnamese Statistical Parametric Speech Synthesis Systems. - Janek Ebbers, Michael Kuhlmann, Reinhold Haeb-Umbach:
Adversarial Contrastive Predictive Coding for Unsupervised Learning of Disentangled Representations. - Neriman Tokcan, Jonathan Gryak, Kayvan Najarian, Harm Derksen:
Algebraic Methods for Tensor Data. - Alexander Barg:
Stolarsky's invariance principle for finite metric spaces. - Olivier Bodini, Antoine Genitrini, Bernhard Gittenberger, Isabella Larcher, Mehdi Naima:
Compaction for two models of logarithmic-depth trees: Analysis and Experiments. - Eiji Yamamura, Yoshiro Tsutsui:
Impact of the State of Emergency Declaration for COVID-19 on Preventive Behaviors and Mental Conditions in Japan: Difference in Difference Analysis using Panel Data. - Michael DiPasquale, Nelly Villamizar:
A lower bound for splines on tetrahedral vertex stars. - Zeynel A. Samak, Philip Clatworthy, Majid Mirmehdi:
Prediction of Thrombectomy Functional Outcomes using Multimodal Data. - Qifeng Li:
Uncertainty-aware Three-phase Optimal Power Flow based on Data-driven Convexification. - Sakshi Arya, Yuhong Yang:
To update or not to update? Delayed Nonparametric Bandits with Randomized Allocation. - Daoyi Dong, Chuan-Cun Shu, Jiangchao Chen, Xi Xing, Hailan Ma, Yu Guo, Herschel Rabitz:
Learning control of quantum systems using frequency-domain optimization algorithms. - Naoki Narisawa, Nicolas Chauvet, Mikio Hasegawa, Makoto Naruse:
Arm order recognition in multi-armed bandit problem with laser chaos time series. - Pedro Araújo, Fábio Botler, Guilherme Oliveira Mota:
Counting graph orientations with no directed triangles. - Murat A. Erdogdu, Rasa Hosseinzadeh:
On the Convergence of Langevin Monte Carlo: The Interplay between Tail Growth and Smoothness. - Jack Zichao Wang, Yi Gu, Andrew S. Lan, Richard G. Baraniuk:
VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics. - Ke Xu, Anton S. Tremsin, Jiaqi Li, Daniela M. Ushizima, Catherine A. Davy, Amine Bouterf, Ying Tsun Su, Milena Marroccoli, Anna Maria Mauro, Massimo Osanna, Antonio Telesca, Paulo J. M. Monteiro:
Microstructure and Water Absorption of Ancient Concrete from Pompeii: An Integrated Synchrotron Microtomography and Neutron Radiography Characterization. - Wael Jaafar, Shimaa Naser, Sami Muhaidat, Paschalis C. Sofotasios, Halim Yanikomeroglu:
Multiple Access in Aerial Networks: From Orthogonal and Non-Orthogonal to Rate-Splitting. - Matthew DelVecchio, Bryse Flowers, William C. Headley:
Effects of Forward Error Correction on Communications Aware Evasion Attacks. - Matthew DelVecchio, Vanessa Arndorfer, William C. Headley:
Investigating a Spectral Deception Loss Metric for Training Machine Learning-based Evasion Attacks. - Hangting Chen, Zuozhen Liu, Zongming Liu, Pengyuan Zhang:
ACGAN-based Data Augmentation Integrated with Long-term Scalogram for Acoustic Scene Classification. - Michael J. Bianco, Sharon Gannot, Peter Gerstoft:
Semi-supervised source localization with deep generative modeling. - Tianyi Li:
Structural Control Analysis of System Dynamics Models. - Ashwin Raju, Chi-Tung Cheng, Yuankai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation. - Yuya Fujita, Shinji Watanabe, Motoi Omachi, Xuankai Chang:
Insertion-Based Modeling for End-to-End Automatic Speech Recognition. - Marco Antonio Rodríguez Flores, Fragkiskos Papadopoulos:
Hyperbolic Mapping of Human Proximity Networks. - Stefan Klus, Feliks Nüske, Boumediene Hamzi:
Kernel-based approximation of the Koopman generator and Schrödinger operator. - Alexandre Cortiella, Kwang-Chun Park, Alireza Doostan:
Sparse Identification of Nonlinear Dynamical Systems via Reweighted 𝓁s1-regularized Least Squares. - Jose M. Peña:
On the Monotonicity of a Nondifferentially Mismeasured Binary Confounder. - Chihiro Watanabe, Taiji Suzuki:
Selective Inference for Latent Block Models. - Ziga Zaplotnik, Aleksandar Gavric, Luka Medic:
Simulation of the COVID-19 pandemic on the social network of Slovenia: estimating the intrinsic forecast uncertainty. - Nader Khammassi, Imran Ashraf, J. van Someren, Razvan Nane, Anna M. Krol, M. Adriaan Rol, Lingling Lao, Koen Bertels, Carmen G. Almudéver:
OpenQL : A Portable Quantum Programming Framework for Quantum Accelerators. - Alain Durmus, Pablo Jiménez, Éric Moulines, Salem Said, Hoi-To Wai:
Convergence Analysis of Riemannian Stochastic Approximation Schemes. - Jannis Born, Matteo Manica, Joris Cadow, Greta Markert, Nil Adell Mill, Modestas Filipavicius, María Rodríguez Martínez:
PaccMannRL on SARS-CoV-2: Designing antiviral candidates with conditional generative models. - Andrew Port, Chelhwon Kim, Mitesh Patel:
Earballs: Neural Transmodal Translation. - L. García-Guzmán, José Reinoso, Ángel de Jesús Valverde, Emilio Martínez-Pañeda, Luis Távara:
Numerical study of interface cracking in composite structures using a novel geometrically nonlinear Linear Elastic Brittle Interface Model: mixed-mode fracture conditions and application to structured interfaces. - Keyu An, Hongyu Xiang, Zhijian Ou:
CAT: A CTC-CRF based ASR Toolkit Bridging the Hybrid and the End-to-end Approaches towards Data Efficiency and Low Latency. - Hexin Bai, Peng Chu, Jeng-Yuan Tsai, Nathan Wilson, Xiaofeng Qian, Qimin Yan, Haibin Ling:
Graph Neural Network for Hamiltonian-Based Material Property Prediction. - Jong-Hoon Ahn:
Data-Driven Continuum Dynamics via Transport-Teleport Duality. - Santiago I. Betelu:
The limits of quantum circuit simulation with low precision arithmetic. - László Csató, Dóra Gréta Petróczy:
Bibliometric indices as a measure of competition in sports. - Hans-Georg Raumer, Carsten Spehr, Thorsten Hohage, Daniel Ernst:
Weighted Data Spaces for Correlation Based Array Imaging in Experimental Aeroacoustics. - Hyeoncheol Cho, Eok Kyun Lee, Insung S. Choi:
InteractionNet: Modeling and Explaining of Noncovalent Protein-Ligand Interactions with Noncovalent Graph Neural Network and Layer-Wise Relevance Propagation. - Jun Ma:
Segmentation Loss Odyssey. - Ziyu Shu, Alireza Entezari:
Gram filtering and sinogram interpolation for pixel-basis in parallel-beam X-ray CT reconstruction. - Florian Beyer, Philippe G. LeFloch:
A numerical algorithm for Fuchsian equations and fluid flows on cosmological spacetimes. - Gecia Bravo Hermsdorff, Valkyrie Felso, Emily Ray, Lee M. Gunderson, Mary E. Helander, Joana Maria, Yael Niv:
Gender and collaboration patterns in a temporal scientific authorship network. - Akhil Soman, Amee Trivedi, David E. Irwin, Beka Kosanovic, Benjamin McDaniel, Prashant J. Shenoy:
Peak Forecasting for Battery-based Energy Optimizations in Campus Microgrids. - Mah Parsa:
Emotion-Inspired Deep Structure (EiDS) for EEG Time Series Forecasting. - Seokhyeon Park, Ohyun Jo:
Q-NAV: NAV Setting Method based on Reinforcement Learning in Underwater Wireless Networks. - Weiran Yao, Sean Qian:
Learning to Recommend Signal Plans under Incidents with Real-Time Traffic Prediction. - Abdul Moeed:
Emotion-robust EEG Classification for Motor Imagery. - Mitch Hill, Jonathan Mitchell, Song-Chun Zhu:
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models. - (Withdrawn) Stochastic Potential Games.
- Seungmo Kim, Min Jae Suh:
Adequacy of 5.9 GHz Band for Safety-Critical Operations with DSRC. - Weicong Chen, Lin Bai, Wankai Tang, Shi Jin, Wei Xiang Jiang, Tie Jun Cui:
Angle-Dependent Phase Shifter Model for Reconfigurable Intelligent Surfaces: Does the Angle-Reciprocity Hold? - Stephan Wojtowytsch:
On the Convergence of Gradient Descent Training for Two-layer ReLU-networks in the Mean Field Regime. - Michael R. Kellman, Michael Lustig, Laura Waller:
How to do Physics-based Learning. - Shengkai Zhang, Wei Wang, Sheyang Tang, Shi Jin, Tao Jiang:
Robot-assisted Backscatter Localization for IoT Applications. - James Juno:
A Deep Dive into the Distribution Function: Understanding Phase Space Dynamics with Continuum Vlasov-Maxwell Simulations. - Subhadeep Mukhopadhyay, Kaijun Wang:
Breiman's "Two Cultures" Revisited and Reconciled. - Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang:
Dual Message Passing Neural Network for Molecular Property Prediction. - Ahmed Hussen Abdelaziz, Barry-John Theobald, Paul Dixon, Reinhard Knothe, Nicholas Apostoloff, Sachin Kajareker:
Modality Dropout for Improved Performance-driven Talking Faces. - Jean-Sébastien Coron, Luca Notarnicola, Gabor Wiese:
Simultaneous Diagonalization of Incomplete Matrices and Applications. - Abdul Qayyum, Alain Lalande, Thomas Decourselle, Thibaut Pommier, Alexandre Cochet, Fabrice Mériaudeau:
Segmentation of the Myocardium on Late-Gadolinium Enhanced MRI based on 2.5 D Residual Squeeze and Excitation Deep Learning Model. - Zihao Zhang, Stefan Zohren, Stephen Roberts:
Deep Learning for Portfolio Optimisation. - Hyemin Um, Jue Jiang, Maria Thor, Andreas Rimner, Leo Luo, Joseph O. Deasy, Harini Veeraraghavan:
Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT. - Mohammed Ahmed, Hongbo Du, Alaa AlZoubi:
An ENAS Based Approach for Constructing Deep Learning Models for Breast Cancer Recognition from Ultrasound Images. - Hyuntae Cho, Myungjoo Kang:
Fully implicit and accurate treatment of jump conditions for two-phase incompressible Navier-Stokes equation. - Han Bao, Clayton Scott, Masashi Sugiyama:
Calibrated Surrogate Losses for Adversarially Robust Classification. - Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes:
Review of Mathematical frameworks for Fairness in Machine Learning. - Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Rushil Anirudh, Andreas Spanias:
Unsupervised Audio Source Separation using Generative Priors. - Run Wang, Felix Juefei-Xu, Yihao Huang, Qing Guo, Xiaofei Xie, Lei Ma, Yang Liu:
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices. - Behrad Toghi, Divas Grover, Rodolfo Valiente Romero, Yaser P. Fallah:
A Maneuver-based Urban Driving Dataset and Model for Cooperative Vehicle Applications. - Carmen Amo Alonso, Nikolai Matni, James Anderson:
Explicit Distributed and Localized Model Predictive Control via System Level Synthesis. - He Huang, Martin Pouls, Anne Meyer, Markus Pauly:
Travel Time Prediction using Tree-Based Ensembles. - Marc Noy, Clément Requilé, Juanjo Rué:
On the expected number of perfect matchings in cubic planar graphs. - Da-Yi Wu, Yi-Hsuan Yang:
Speech-to-Singing Conversion based on Boundary Equilibrium GAN. - Gian Maria Marconi, Lorenzo Rosasco, Carlo Ciliberto:
Hyperbolic Manifold Regression. - Shucong Zhang, Erfan Loweimi, Peter Bell, Steve Renals:
When Can Self-Attention Be Replaced by Feed Forward Layers? - Tatiana Gabruseva, Dmytro Poplavskiy, Alexandr A. Kalinin:
Deep Learning for Automatic Pneumonia Detection. - Rem-Sophia Mouradi, Cédric Goeury, Olivier Thual, Fabrice Zaoui, Pablo Tassi:
Physically interpretable machine learning algorithm on multidimensional non-linear fields. - Debora Gil, Katerine Díaz-Chito, Carles Sánchez, Aura Hernández-Sabaté:
Early Screening of SARS-CoV-2 by Intelligent Analysis of X-Ray Images. - Iasson Karafyllis, Nicolás Espitia, Miroslav Krstic:
Event-triggered gain scheduling of reaction-diffusion PDEs. - Marie-Liesse Cauwet, Olivier Teytaud:
Population Control meets Doob's Martingale Theorems: the Noise-free Multimodal Case. - Can Yang, Junjie Zhai, Helong Li:
On the Bound of Cumulative Return in Trading Series and the Verification Using Technical Trading Rules. - Tiago P. Peixoto:
Revealing consensus and dissensus between network partitions. - Chandan K. A. Reddy, Vishak Gopal, Ross Cutler, Ebrahim Beyrami, Roger Cheng, Harishchandra Dubey, Sergiy Matusevych, Robert Aichner, Ashkan Aazami, Sebastian Braun, Puneet Rana, Sriram Srinivasan, Johannes Gehrke:
The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results. - Nikhel Gupta, C. L. Reichardt:
Mass Estimation of Galaxy Clusters with Deep Learning II: CMB Cluster Lensing. - Zhijian Ou, Yunfu Song:
Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models. - William Le, Francisco Perdigón Romero, Samuel Kadoury:
A Normalized Fully Convolutional Approach to Head and Neck Cancer Outcome Prediction. - Jian Ma:
copent: Estimating Copula Entropy in R. - Kalliopi Basioti, George V. Moustakides:
Image Restoration from Parametric Transformations using Generative Models. - Andrey Sergunin:
On the number of intersection points of lines and circles in R3. - David Merrell, Anthony Gitter:
Inferring Signaling Pathways with Probabilistic Programming. - Jinglin Zhang, Wenjun Xu, Hui Gao, Miao Pan, Zhu Han, Ping Zhang:
Codebook-Based Beam Tracking for Conformal ArrayEnabled UAV MmWave Networks. - Banghua Zhu, Jiantao Jiao, Jacob Steinhardt:
Robust estimation via generalized quasi-gradients. - Kai-Kit Wong, Kin-Fai Tong, Zhiyuan Chu, Yangyang Zhang:
A Vision to Smart Radio Environment: Surface Wave Communication Superhighways. - Carleton Coffrin, Bernard Knueven, Jesse Holzer, Marc Vuffray:
The Impacts of Convex Piecewise Linear Cost Formulations on AC Optimal Power Flow. - Liam L. H. Lau, Denis Werth:
ODEN: A Framework to Solve Ordinary Differential Equations using Artificial Neural Networks. - Christopher J. Dean:
Globular Multicategories with Homomorphism Types. - Mihalis Yannakakis:
Planar Graphs that Need Four Pages. - Danilo Avola, Luigi Cinque, Alessio Fagioli, Sebastiano Filetti, Giorgio Grani, Emanuele Rodolà:
Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification. - Hugo Tremonte de Carvalho, Flávio Rainho Ávila, Luiz Wagner Pereira Biscainho:
Bayesian Restoration of Audio Degraded by Low-Frequency Pulses Modeled via Gaussian Process. - Stéphane Gaubert, Marianne Akian, Xavier Allamigeon, Marin Boyet, Baptiste Colin, Théotime Grohens, Laurent Massoulié, David P. Parsons, Frédéric Adnet, Érick Chanzy, Laurent Goix, Frédéric Lapostolle, Éric Lecarpentier, Christophe Leroy, Thomas Loeb, Jean-Sébastien Marx, Caroline Télion, Laurent Tréluyer, Pierre Carli:
Forecasting the local progression of the Covid-19 epidemic from medical emergency calls: the example of the Paris area. - Edwin A. Bedolla-Montiel, Luis Carlos Padierna, Ramón Castañeda-Priego:
Machine Learning for Condensed Matter Physics. - Yaël Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner:
Joint Total Variation ESTATICS for Robust Multi-Parameter Mapping. - Mohammadreza Iman, Amy Giuntini, Hamid Reza Arabnia, Khaled Rasheed:
A Comparative Study of Machine Learning Models for Tabular Data Through Challenge of Monitoring Parkinson's Disease Progression Using Voice Recordings. - Alwyn Mathew, Abhijit Roy, Jimson Mathew:
Intelligent Residential Energy Management System using Deep Reinforcement Learning. - Adonis Bogris, Charis Mesaritakis, Stavros Deligiannidis, Pu Li:
Fabry-Perot Lasers as Enablers for Parallel Reservoir Computing. - Raghav Mehta, Angelos Filos, Yarin Gal, Tal Arbel:
Uncertainty Evaluation Metric for Brain Tumour Segmentation. - Jonne Pohjankukka, Tapio Pahikkala, Paavo Nevalainen, Jukka Heikkonen:
Estimating the Prediction Performance of Spatial Models via Spatial k-Fold Cross Validation. - Annie Millet, Svetlana Roudenko, Kai Yang:
Behavior of solutions to the 1D focusing stochastic L2-critical and supercritical nonlinear Schrödinger equation with space-time white noise. - Daniel Dylewsky, Eurika Kaiser, Steven L. Brunton, J. Nathan Kutz:
Principal Component Trajectories (PCT): Nonlinear dynamics as a superposition of time-delayed periodic orbits. - Jinyu Li, Yu Wu, Yashesh Gaur, Chengyi Wang, Rui Zhao, Shujie Liu:
On the Comparison of Popular End-to-End Models for Large Scale Speech Recognition. - Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang, Wei Fan, Kenneth M. C. Cheung, Michael Kai Tsun To, Zhen Qian, Demetri Terzopoulos:
Bipartite Distance for Shape-Aware Landmark Detection in Spinal X-Ray Images. - Hua Chen, Olivier Pinaud, Muhammad Tahir:
A simple real-space scheme for periodic Dirac operators. - Dilina Perera, Inimfon Akpabio, Firas Hamze, Salvatore Mandrà, Nathan Rose, Maliheh Aramon, Helmut G. Katzgraber:
Chook - A comprehensive suite for generating binary optimization problems with planted solutions. - Simge Küçükyavuz, Ali Shojaie, Hasan Manzour, Linchuan Wei:
Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks. - Dong Yang, Holger Roth, Xiaosong Wang, Ziyue Xu, Andriy Myronenko, Daguang Xu:
Enhancing Foreground Boundaries for Medical Image Segmentation. - Aleks J. Gurfinkel, Per Arne Rikvold:
A Current-Flow Centrality With Adjustable Reach. - Aditi Jha, Joshua Caleb Peterson, Thomas L. Griffiths:
Extracting low-dimensional psychological representations from convolutional neural networks. - Rongfang Wang, Fan Ding, Licheng Jiao, Jiawei Chen, Bo Liu, Wenping Ma, Mi Wang:
A Light-Weighted Convolutional Neural Network for Bitemporal SAR Image Change Detection. - Kashin Sugishita, Naoki Masuda:
Recurrence in the evolution of air transport networks. - Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng, Tai-Xiang Jiang, Gemine Vivone, Jocelyn Chanussot:
Hyperspectral Image Super-resolution via Deep Spatio-spectral Convolutional Neural Networks. - Xiang Hao, Shixue Wen, Xiangdong Su, Yun Liu, Guanglai Gao, Xiaofei Li:
Sub-band Knowledge Distillation Framework for Speech Enhancement. - Xiang Hao, Xiangdong Su, Zhiyu Wang, Qiang Zhang, Huali Xu, Guanglai Gao:
SNR-based teachers-student technique for speech enhancement. - Domagoj Cevid, Loris Michel, Nicolai Meinshausen, Peter Bühlmann:
Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression. - Sanjukta Krishnagopal:
Trajectory Clustering in Multi-layer Networks: Identifying Parkinson's Subtypes. - Yu-Chin Lu, Chia-Wei Tsai, Tzonelih Hwang:
Quantum Key Recycling can share key more efficient than BB84. - Manuel Sebastian Mariani, Linyuan Lü:
Network-based ranking in social systems: three challenges. - Benjamin Milde, Chris Biemann:
Improving Unsupervised Sparsespeech Acoustic Models with Categorical Reparameterization. - Danny Smyl, Tyler N. Tallman, Jonathan A. Black, Andreas Hauptmann, Dong Liu:
Learning and correcting non-Gaussian model errors. - Oleksandr Borysenko, Maksym Byshkin:
CoolMomentum: A Method for Stochastic Optimization by Langevin Dynamics with Simulated Annealing. - Sina Däubener, Lea Schönherr, Asja Fischer, Dorothea Kolossa:
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification. - Gal Shahaf, Ehud Shapiro, Nimrod Talmon:
Egalitarian and Just Digital Currency Networks. - Luisa Roa, Alejandro Correa Bahnsen, Gabriel Suarez, Fernando Cortés-Tejada, María A. Luque, Cristián Bravo:
Super-App Behavioral Patterns in Credit Risk Models: Financial, Statistical and Regulatory Implications. - Florian Ziel:
The energy distance for ensemble and scenario reduction. - Péter Kutas, Chloe Martindale, Lorenz Panny, Christophe Petit, Katherine E. Stange:
Weak instances of SIDH variants under improved torsion-point attacks. - Micha Pfeiffer, Carina Riediger, Stefan Leger, Jens-Peter Kühn, Danilo Seppelt, Ralf-Thorsten Hoffmann, Jürgen Weitz, Stefanie Speidel:
Non-Rigid Volume to Surface Registration using a Data-Driven Biomechanical Model. - Prasanna Sanjay Raut, Omid Sadeghi, Maryam Fazel:
Online DR-Submodular Maximization with Stochastic Cumulative Constraints. - Tiago Novello, Vinícius da Silva, Luiz Velho:
How to see the eight Thurston geometries. - Michal Narajewski, Florian Ziel:
Ensemble Forecasting for Intraday Electricity Prices: Simulating Trajectories. - Martin Hyland, Christine Tasson:
The linear-non-linear substitution 2-monad. 215-229 - Yosi Atia, Shantanav Chakraborty:
Improved Upper Bounds for the Hitting Times of Quantum Walks. - Raphaël Tinarrage:
Computing persistent Stiefel-Whitney classes of line bundles. - Michael Gref, Oliver Walter, Christoph Schmidt, Sven Behnke, Joachim Köhler:
Multi-Staged Cross-Lingual Acoustic Model Adaption for Robust Speech Recognition in Real-World Applications - A Case Study on German Oral History Interviews. - Christian Elbracht, Jakob Kneip, Maximilian Teegen:
A Note on Generic Tangle Algorithms.
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