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ORCIDCoRR, October 2020
- Estevão Testa, Rodrigo C. Barros, Soraia Raupp Musse:
CrowdEst: A Method for Estimating (and not Simulating) Crowd Evacuation Parameters in Generic Environments. - Hong-Ye Hu
, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen:
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior. - Kevin Leahy, Austin Jones, Cristian Ioan Vasile:
Fast Decomposition of Temporal Logic Specifications for Heterogeneous Teams. - Mohit Chandra, Ashwin Pathak, Eesha Dutta, Paryul Jain, Manish Gupta, Manish Shrivastava, Ponnurangam Kumaraguru:
AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts. - Maithilee Kunda, Irina Rabkina:
Creative Captioning: An AI Grand Challenge Based on the Dixit Board Game. - Kishor Kunal, Jitesh Poojary, Tonmoy Dhar, Meghna Madhusudan, Ramesh Harjani, Sachin S. Sapatnekar:
A general approach for identifying hierarchical symmetry constraints for analog circuit layout. - Irene Ballester, Alejandro Fontán, Javier Civera, Klaus H. Strobl, Rudolph Triebel:
DOT: Dynamic Object Tracking for Visual SLAM. - Florian Mirus, Terrence C. Stewart, Jörg Conradt:
Analyzing the Capacity of Distributed Vector Representations to Encode Spatial Information. - Eirik Valseth, Pouria Behnoudfar, Clint Dawson, Albert Romkes:
Automatic Variationally Stable Analysis for Finite Element Computations: Transient Convection-Diffusion Problems. - Juan-Ting Lin, Dengxin Dai, Luc Van Gool:
Depth Estimation from Monocular Images and Sparse Radar Data. - Andrew McLeod, James Owers, Kazuyoshi Yoshii:
The MIDI Degradation Toolkit: Symbolic Music Augmentation and Correction. - Ayush Jain, Alon Orlitsky:
Linear-Sample Learning of Low-Rank Distributions. - Ioannis Papakis, Abhijit Sarkar, Anuj Karpatne:
GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization. - Guneet S. Dhillon, Nicholas Carlini:
Erratum Concerning the Obfuscated Gradients Attack on Stochastic Activation Pruning. - Dheeraj Baby, Yu-Xiang Wang:
Adaptive Online Estimation of Piecewise Polynomial Trends. - Nicholas Greenspan, Yuqi Si, Kirk Roberts:
Extracting Concepts for Precision Oncology from the Biomedical Literature. - Ahmadreza Moradipari, Christos Thrampoulidis, Mahnoosh Alizadeh:
Stage-wise Conservative Linear Bandits. - Siamak Sarmady, Fazilah Haron, Abdullah Zawawi Talib:
Simulation of Wheelchair Movements in Crowd Using Fine Grid Cellular Automata. - Florian Mirus, Terrence C. Stewart, Jörg Conradt:
The Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations. - Claudio Moraga:
Realization of p_valued Deutsch quantum gates. - Vincent Cohen-Addad, Karthik C. S., Euiwoong Lee:
On Approximability of Clustering Problems Without Candidate Centers. - Min Yee Teh, Shizhen Zhao, Peirui Cao, Keren Bergman:
COUDER: Robust Topology Engineering for Optical Circuit Switched Data Center Networks. - Nikhil Vadgama, Paolo Tasca:
An Analysis of Blockchain Adoption in Supply Chains Between 2010 and 2020. - Carole Delporte, Hugues Fauconnier, Sergio Rajsbaum, Michel Raynal:
t-Resilient k-Immediate Snapshot and its Relation with Agreement Problems. - Mostafa Mohammadkarimi, Octavia A. Dobre, Moe Z. Win:
Massive Uncoordinated Multiple Access for Beyond 5G. - Shu Sun, Hangsong Yan:
Channel Estimation for Reconfigurable Intelligent Surface-Assisted Wireless Communications Considering Doppler Effect. - Pritam Sarkar, Ali Etemad:
CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG. - Yu Guo, Cameron Smith, Milos Hasan, Kalyan Sunkavalli, Shuang Zhao:
MaterialGAN: Reflectance Capture using a Generative SVBRDF Model. - Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han:
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning. - Ketan Mittal, Som Dutta, Paul F. Fischer:
Stability analysis of a singlerate and multirate predictor-corrector scheme for overlapping grids. - James E. Powell, Kari Sentz:
Interactive Re-Fitting as a Technique for Improving Word Embeddings. - Constantin Seibold, Jens Kleesiek, Heinz-Peter Schlemmer, Rainer Stiefelhagen:
Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs. - Sergi Abadal, Akshay Jain, Robert Guirado, Jorge López-Alonso, Eduard Alarcón:
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators. - Nikita Nangia, Clara Vania, Rasika Bhalerao, Samuel R. Bowman:
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models. - Yassine Yaakoubi, François Soumis, Simon Lacoste-Julien:
Machine Learning in Airline Crew Pairing to Construct Initial Clusters for Dynamic Constraint Aggregation. - Rong Ge, Holden Lee, Jianfeng Lu, Andrej Risteski:
Efficient sampling from the Bingham distribution. - Laurent Alfandari, Sophie Toulouse:
Approximation of the Double Travelling Salesman Problem with Multiple Stacks. - Kashin Sugishita, Mason A. Porter, Mariano Beguerisse-Díaz, Naoki Masuda:
Opinion dynamics in tie-decay networks. - Lena Reed, Vrindavan Harrison, Shereen Oraby, Dilek Hakkani-Tür, Marilyn A. Walker:
Learning from Mistakes: Combining Ontologies via Self-Training for Dialogue Generation. - Thanh Do, Goetz Graefe:
Sort-based grouping and aggregation. - Zining Zhu, Chuer Pan, Mohamed Abdalla, Frank Rudzicz:
Examining the rhetorical capacities of neural language models. - Xuan Xu, Xin Xiong, Jinge Wang, Xin Li:
Deformable Kernel Convolutional Network for Video Extreme Super-Resolution. - Eric Cristofalo, Eduardo Montijano, Mac Schwager:
GeoD: Consensus-based Geodesic Distributed Pose Graph Optimization. - Olusola Tolulope Odeyomi:
Unknown Delay for Adversarial Bandit Setting with Multiple Play. - Yayi Zou, Zhiwei Qin:
Value-based Bayesian Meta-reinforcement Learning and Traffic Signal Control. - Helio H. L. C. Monte-Alto, Mariela Morveli Espinoza, Cesar A. Tacla:
Multi-Agent Systems based on Contextual Defeasible Logic considering Focus. - Samiul Alam, Tahsin Reasat, Asif Shahriyar Sushmit, Sadi Mohammad Siddiquee, Fuad Rahman, Mahady Hasan, Ahmed Imtiaz Humayun:
Multi-label Classification of Common Bengali Handwritten Graphemes: Dataset and Challenge. - Fuzhong Nian, Hongyuan Diao:
Information Propagation Model in Hybrid Networks. - Yong Xiao, Guangming Shi, Yingyu Li, Walid Saad, H. Vincent Poor:
Towards Self-learning Edge Intelligence in 6G. - William H. Clark IV, Steven Conrad Hauser, William C. Headley, Alan J. Michaels:
Training Data Augmentation for Deep Learning RF Systems. - Yang Zhang, Qiang Ma:
Dual Attention Model for Citation Recommendation. - Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin:
Who Are the 'Silent Spreaders'?: Contact Tracing in Spatio-Temporal Memory Models. - Longxuan Ma, Weinan Zhang, Runxin Sun, Ting Liu:
A Compare Aggregate Transformer for Understanding Document-grounded Dialogue. - Yi-Dong Shen, Thomas Eiter:
Constraint Monotonicity, Epistemic Splitting and Foundedness Are Too Strong in Answer Set Programming. - Thai Binh Nguyen, Quang Minh Nguyen, Thi Thu Hien Nguyen, Quoc Truong Do, Luong Chi Mai:
Improving Vietnamese Named Entity Recognition from Speech Using Word Capitalization and Punctuation Recovery Models. - Michael Bendersky, Honglei Zhuang, Ji Ma, Shuguang Han, Keith B. Hall, Ryan T. McDonald:
RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble. - Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos:
Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control. - Teppei Sato, Keita Emura, Tomoki Fujitani, Kazumasa Omote:
An Anonymous Trust-Marking Scheme on Blockchain Systems. - Prakash Mallick, Zhiyong Chen:
Robust Stochastic Optimal Control for Multivariable Dynamical Systems Using Expectation Maximization. - Steven Cao, Swanand Kadhe, Kannan Ramchandran:
CoVer: Collaborative Light-Node-Only Verification and Data Availability for Blockchains. - Khaled A. Helal Kelany, Nikitas Dimopoulos, Clemens P. J. Adolphs, Bardia Barabadi, Amirali Baniasadi:
Quantum Annealing Approaches to the Phase-Unwrapping Problem in Synthetic-Aperture Radar Imaging. - Ramin Kaviani, Kory W. Hedman:
An Enhanced Energy Management System Including a Real-Time Load-Redistribution Threat Analysis Tool and Cyber-Physical SCED. - Ryoji Tanabe, Hisao Ishibuchi:
A Niching Indicator-Based Multi-modal Many-objective Optimizer. - Zhiqiang Zhong, Cheng-Te Li, Jun Pang:
Adaptive Multi-grained Graph Neural Networks. - Laércio Lima Pilla:
Optimal Task Assignment to Heterogeneous Federated Learning Devices. - Xiaoman Qi, Panpan Zhu, Yuebin Wang, Liqiang Zhang, Junhuan Peng, Mengfan Wu, Jialong Chen, Xudong Zhao, Ning Zang, P. Takis Mathiopoulos:
MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding. - Zheng Gu, Chuanqi Dong, Jing Huo, Wenbin Li, Yang Gao:
CariMe: Unpaired Caricature Generation with Multiple Exaggerations. - Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou:
WeChat Neural Machine Translation Systems for WMT20. - Mingshang Hu, Lianzi Jiang:
An Efficient Numerical Method for Forward-Backward Stochastic Differential Equations Driven by G-Brownian motion. - Simon Heybrock, Owen Arnold, Igor Gudich, Daniel Nixon, Neil Vaytet:
Scipp: Scientific data handling with labeled multi-dimensional arrays for C++ and Python. - Gergely Hajgató, Bálint Gyires-Tóth, György Paál:
Predicting the flow field in a U-bend with deep neural networks. - Abdulkadir Çelikkanat, Apostolos N. Papadopoulos, Fragkiskos D. Malliaros:
NodeSig: Random Walk Diffusion meets Hashing for Scalable Graph Embeddings. - Joe Watson, Abraham Imohiosen, Jan Peters:
Active Inference or Control as Inference? A Unifying View. - Miriam Bellver, Carles Ventura, Carina Silberer, Ioannis Kazakos, Jordi Torres, Xavier Giró-i-Nieto:
RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation. - Ryoji Tanabe, Hisao Ishibuchi:
Review and Analysis of Three Components of Differential Evolution Mutation Operator in MOEA/D-DE. - Moritz Schulze Darup, Andreea B. Alexandru, Daniel E. Quevedo, George J. Pappas:
Encrypted control for networked systems - An illustrative introduction and current challenges. - David Tolpin, Yuan Zhou, Hongseok Yang:
Probabilistic Programs with Stochastic Conditioning. - Nick Brown, Brian Bainbridge, Ciarán Beggan, Susan Macmillan, William Brown, Brian Hamilton:
Modelling the earth's geomagnetic environment on Cray machines using PETSc and SLEPc. - David Tolpin, Yuan Zhou, Hongseok Yang:
Bayesian Policy Search for Stochastic Domains. - Luca Pegolotti, Martin R. Pfaller, Alison L. Marsden, Simone Deparis:
Model order reduction of flow based on a modular geometrical approximation of blood vessels. - Ehsan Doostmohammadi, Minoo Nassajian, Adel Rahimi:
Joint Persian Word Segmentation Correction and Zero-Width Non-Joiner Recognition Using BERT. - Junya Saito, Ryosuke Kawamura, Akiyoshi Uchida, Sachihiro Youoku, Yuushi Toyoda, Takahisa Yamamoto, Xiaoyu Mi, Kentaro Murase:
Action Units Recognition by Pairwise Deep Architecture. - Nick Brown:
Weighing up the new kid on the block: Impressions of using Vitis for HPC software development. - Adrian Galdran, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed:
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images. - Zeyu Feng, Chang Xu, Dacheng Tao:
Open-Set Hypothesis Transfer with Semantic Consistency. - Anshul Wadhawan:
Phonemer at WNUT-2020 Task 2: Sequence Classification Using COVID Twitter BERT and Bagging Ensemble Technique based on Plurality Voting. - Benedikt Bollig, Normann Decker, Martin Leucker:
Erratum to "Frequency Linear-time Temporal Logic". - Daniil Ryabko:
Universal time-series forecasting with mixture predictors. - Anna Melman, Oleg Evsutin, Alexander Alexandrovich Shelupanov:
An authorship protection technology for electronic documents based on image watermarking. - Prakash Mallick, Zhiyong Chen, Mohsen Zamani:
Reinforcement Learning Using Expectation Maximization Based Guided Policy Search for Stochastic Dynamics. - Tianyu Liu, Chi Wang:
Understanding the hardness of approximate query processing with joins. - Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang:
CoLAKE: Contextualized Language and Knowledge Embedding. - Akshita Aggarwal, Anshul Wadhawan, Anshima Chaudhary, Kavita Maurya:
"Did you really mean what you said?" : Sarcasm Detection in Hindi-English Code-Mixed Data using Bilingual Word Embeddings. - Yubo Li, Kangquan Li, Longjiang Qu:
On two conjectures about the intersection distribution. - Lingjing Wang, Xiang Li, Yi Fang:
Deep-3DAligner: Unsupervised 3D Point Set Registration Network With Optimizable Latent Vector. - Nicolas Nagel, Martin Schäfer, Tino Ullrich:
A new upper bound for sampling numbers. - Renan Souza, Leonardo Guerreiro Azevedo, Vítor Lourenço, Elton F. S. Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto:
Workflow Provenance in the Lifecycle of Scientific Machine Learning. - Domenico Cotroneo, Luigi De Simone, Pietro Liguori, Roberto Natella:
Fault Injection Analytics: A Novel Approach to Discover Failure Modes in Cloud-Computing Systems. - Maxim Neumann, André Susano Pinto, Xiaohua Zhai, Neil Houlsby:
Training general representations for remote sensing using in-domain knowledge. - Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Efficient Time and Space Representation of Uncertain Event Data. - Stephan Wiefling, Markus Dürmuth, Luigi Lo Iacono:
More Than Just Good Passwords? A Study on Usability and Security Perceptions of Risk-based Authentication. - Michael Rodler, Wenting Li, Ghassan O. Karame, Lucas Davi:
EVMPatch: Timely and Automated Patching of Ethereum Smart Contracts. - Alejandro Cohen, Homa Esfahanizadeh, Bruno Sousa, João P. Vilela, Miguel Luís, Duarte M. G. Raposo, François Michel, Susana Sargento, Muriel Médard:
Bringing Network Coding into SDN: A Case-study for Highly Meshed Heterogeneous Communications. - Nina Beranek, M. Alexander Reinhold, Karsten Urban:
A Space-Time Variational Method for Optimal Control Problems. - Luca Ferranti, Xiaotian Li, Jani Boutellier, Juho Kannala:
Can You Trust Your Pose? Confidence Estimation in Visual Localization. - Bartlomiej Dudek, Pawel Gawrychowski:
Counting 4-Patterns in Permutations Is Equivalent to Counting 4-Cycles in Graphs. - Busra Tegin, Tolga M. Duman:
Machine Learning at Wireless Edge with OFDM and Low Resolution ADC and DAC. - K. J. Joseph, Vineeth N. Balasubramanian:
Meta-Consolidation for Continual Learning. - Antonio-Jesús Banegas-Luna, Jorge Peña-García, Adrian Iftene, Fiorella Guadagni, Patrizia Ferroni, Noemi Scarpato, Fabio Massimo Zanzotto, Andrés Bueno-Crespo, Horacio Pérez Sánchez:
When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey. - Artur Sterz, Matthias Eichholz, Ragnar Mogk, Lars Baumgärtner, Pablo Graubner, Matthias Hollick, Mira Mezini, Bernd Freisleben:
ReactiFi: Reactive Programming of Wi-Fi Firmware on Mobile Devices. - Van Thiem Pham, Thinh T. Doan, Dinh Hoa Nguyen:
Distributed two-time-scale methods over clustered networks. - Hind Saleh Alatawi, Areej Maatog Alhothali, Kawthar Mustafa Moria:
Detecting White Supremacist Hate Speech using Domain Specific Word Embedding with Deep Learning and BERT. - Jose Berengueres, Pavel Nesterov:
A Survey of H-index, Stress, Tenure & Reference Management software use in Academia. - Chenjian Pan, Chen Ling, Hongjin He, Liqun Qi, Yanwei Xu:
Low-Rank and Sparse Enhanced Tucker Decomposition for Tensor Completion. - Zipeng Xu, Fangxiang Feng, Xiaojie Wang, Yushu Yang, Huixing Jiang, Zhongyuan Ouyang:
Answer-Driven Visual State Estimator for Goal-Oriented Visual Dialogue. - Chihiro Shibata, Kei Uchiumi, Daichi Mochihashi:
How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text. - Suiyi Ling, Jing Li, Anne-Flore Perrin, Zhi Li, Lukás Krasula, Patrick Le Callet:
Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy. - Paul Samuel Ignacio, Jay-Anne Bulauan, David Uminsky:
LUMÁWIG: An Efficient Algorithm for Dimension Zero Bottleneck Distance Computation in Topological Data Analysis. - Haixia Liu:
Citation Sentiment Changes Analysis. - Jaroslav Schmidt, Alena Zemanová, Jan Zeman, Michal Sejnoha:
Phase-field Fracture Modelling of Thin Monolithic and Laminated Glass Plates under Quasi-static Bending. - Angelica I. Avilés-Rivero, Philip Sellars, Carola-Bibiane Schönlieb, Nicolas Papadakis:
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays. - Pierre De Handschutter, Nicolas Gillis, Xavier Siebert:
Deep matrix factorizations. - Ercument Ilhan, Diego Perez Liebana:
Student-Initiated Action Advising via Advice Novelty. - Neeraj, Jimson Mathew, Ranjan Kumar Behera, Zenin Easa Panthakkalakath:
A Deep Learning Framework for COVID Outbreak Prediction. - Fabrizia Auletta, Davide Fiore, Michael J. Richardson, Mario di Bernardo:
Design of herding autonomous agents via local control rules and global target selection strategies. - Mokanarangan Thayaparan, Marco Valentino, André Freitas:
A Survey on Explainability in Machine Reading Comprehension. - Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte:
Phase retrieval with Bregman divergences and application to audio signal recovery. - Atefe Darabi, Milad Siami:
Centrality in Epidemic Networks with Time-Delay: A Decision-Support Framework for Epidemic Containment. - Javier Hernandez-Ortega, Ruben Tolosana, Julian Fiérrez, Aythami Morales:
DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimation. - Aniruddh Herle, Janamejaya Channegowda, Dinakar Prabhu:
Quasar Detection using Linear Support Vector Machine with Learning From Mistakes Methodology. - Ines Chami, Albert Gu, Vaggos Chatziafratis, Christopher Ré:
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering. - The Anh Han, Luís Moniz Pereira, Tom Lenaerts, Francisco C. Santos:
Mediating Artificial Intelligence Developments through Negative and Positive Incentives. - Aaron Defazio:
Understanding the Role of Momentum in Non-Convex Optimization: Practical Insights from a Lyapunov Analysis. - Carlos Mastalli, Wolfgang Merkt, Josep Marti-Saumell, Joan Solà, Nicolas Mansard, Sethu Vijayakumar:
A Direct-Indirect Hybridization Approach to Control-Limited DDP. - Bo Sun, Ali Zeynali, Tongxin Li, Mohammad Hassan Hajiesmaili, Adam Wierman, Danny H. K. Tsang:
Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging. - Agustin Castellano, Juan Andrés Bazerque, Enrique Mallada:
Learning to be safe, in finite time. - Rupert W. Nash, Nick Brown, Michael R. Crusoe, Max Kontak:
Supercomputing with MPI meets the Common Workflow Language standards: an experience report. - Leonardo Colombo, Héctor García de Marina:
Forced Variational Integrators for the Formation Control of Multi-Agent Systems. - Alberto Bressan, Maria Teresa Chiri, Wen Shen:
A posteriori Error Estimates for Numerical Solutions to Hyperbolic Conservation Laws. - Dong Quan Ngoc Nguyen, Lin Xing, Lizhen Lin:
Community detection, pattern recognition, and hypergraph-based learning: approaches using metric geometry and persistent homology. - Chris Wendler, Andisheh Amrollahi, Bastian Seifert, Andreas Krause, Markus Püschel:
Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases. - Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel:
X-Fields: Implicit Neural View-, Light- and Time-Image Interpolation. - Claudia Kittask, Kirill Milintsevich, Kairit Sirts:
Evaluating Multilingual BERT for Estonian. - Jiale Cao, Yanwei Pang, Jin Xie, Fahad Shahbaz Khan, Ling Shao:
From Handcrafted to Deep Features for Pedestrian Detection: A Survey. - Fabrice Guillemin, Verónica Quintuna Rodriguez:
A baseline Model for the Relationships between Network Operators and Tower Companies. - Muaz Seydaoglu, Philipp Bader, Sergio Blanes, Fernando Casas:
Computing the matrix sine and cosine simultaneously with a reduced number of products. - Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu:
Bag of Tricks for Adversarial Training. - Eduardo Fonseca, Xavier Favory, Jordi Pons, Frederic Font, Xavier Serra:
FSD50K: an Open Dataset of Human-Labeled Sound Events. - Adi Ditkowski, Paz Fink Shustin:
Error Inhibiting Schemes for Initial Boundary Value Heat Equation. - Arash Golibagh Mahyari, Peter Pirolli:
Physical Exercise Recommendation and Success Prediction Using Interconnected Recurrent Neural Networks. - Darren J. Edwards, Min Chen:
Developing Effective Community Network Analysis Tools According to Visualization Psychology. - Daniel Deutsch, Tania Bedrax-Weiss, Dan Roth:
Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary. - Guillem Boquet, Pere Tuset-Peiró, Ferran Adelantado, Thomas Watteyne, Xavier Vilajosana:
LoRa-E: Overview and Performance Analysis. - Darko Volkov:
A stochastic algorithm for fault inverse problems in elastic half space with proof of convergence. - Charitha Dissanayake Lekamlage, Fabia Afzal, Erik Westerberg, Abbas Cheddad:
Mini-DDSM: Mammography-based Automatic Age Estimation. - Patrick Kenekayoro, Biralatei Fawei:
Meta-Heuristic Solutions to a Student Grouping Optimization Problem faced in Higher Education Institutions. - Justyna P. Zwolak, Sandesh S. Kalantre, Thomas McJunkin, Brian J. Weber, Jacob M. Taylor:
Ray-based classification framework for high-dimensional data. - Isabelly Rocha, Nathaniel Morris, Lydia Y. Chen, Pascal Felber, Robert Birke, Valerio Schiavoni:
PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters. - Gautam Kishore Shahi:
AMUSED: An Annotation Framework of Multi-modal Social Media Data. - Yingnan Ju, Yue Chen:
An Ultra Lightweight CNN for Low Resource Circuit Component Recognition. - Krzysztof R. Apt:
Edsger Dijkstra. The Man Who Carried Computer Science on His Shoulders. - Charles-Edouard Bréhier:
Approximation of the invariant distribution for a class of ergodic SPDEs using an explicit tamed exponential Euler scheme. - Sarah Alnegheimish, Najat Alrashed, Faisal Aleissa, Shahad Althobaiti, Dongyu Liu, Mansour Alsaleh, Kalyan Veeramachaneni:
Cardea: An Open Automated Machine Learning Framework for Electronic Health Records. - Ardhendu Shekhar Tripathi, Martin Danelljan, Luc Van Gool, Radu Timofte:
Few-Shot Classification By Few-Iteration Meta-Learning. - Charles-Edouard Bréhier:
Approximation of the invariant distribution for a class of ergodic SDEs with one-sided Lipschitz continuous drift coefficient using an explicit tamed Euler scheme. - Shaofei Huang, Tianrui Hui, Si Liu, Guanbin Li, Yunchao Wei, Jizhong Han, Luoqi Liu, Bo Li:
Referring Image Segmentation via Cross-Modal Progressive Comprehension. - Tianrui Hui, Si Liu, Shaofei Huang, Guanbin Li, Sansi Yu, Faxi Zhang, Jizhong Han:
Linguistic Structure Guided Context Modeling for Referring Image Segmentation. - Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Neural encoding with visual attention. - Dharmendra Dixit, Kishor Chandra Joshi, Sanjeev Sharma:
Performance of Intelligent Reconfigurable Surface-Based Wireless Communications Using QAM Signaling. - Litu Rout:
Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability. - Litu Rout:
Understanding the Role of Adversarial Regularization in Supervised Learning. - Oscar H. Ibarra, Ian McQuillan:
On Store Languages and Applications. - Francesca Bonizzoni, Guido Kanschat:
H1-conforming finite element cochain complexes and commuting quasi-interpolation operators on cartesian meshes. - Qianying Liu, Sicong Jiang, Yizhong Wang, Sujian Li:
LiveQA: A Question Answering Dataset over Sports Live. - Erik Hemberg, Jonathan Kelly, Michal Shlapentokh-Rothman, Bryn Marie Reinstadler, Katherine Xu, Nick Rutar, Una-May O'Reilly:
BRON - Linking Attack Tactics, Techniques, and Patterns with Defensive Weaknesses, Vulnerabilities and Affected Platform Configurations. - Xing Liang, Anastassia Angelopoulou, Epaminondas Kapetanios, Bencie Woll, Reda Al-batat, Tyron Woolfe:
A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia among British Sign Language Users. - Ujjwal Koley, Deep Ray, Tanmay Sarkar:
Multi-level Monte Carlo Finite Difference Methods for Fractional Conservation Laws with Random Data. - Spencer Frei, Yuan Cao, Quanquan Gu:
Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins. - Michael Everett, Golnaz Habibi, Jonathan P. How:
Robustness Analysis of Neural Networks via Efficient Partitioning: Theory and Applications in Control Systems. - Raj Shekhar:
Artificial Creations: Ascription, Ownership, Time-Specific Monopolies. - Imani N. Sherman, Elissa M. Redmiles, Jack W. Stokes:
Designing Indicators to Combat Fake Media. - Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel:
EigenGame: PCA as a Nash Equilibrium. - Jiaman Li, Zhengfei Kuang, Yajie Zhao, Mingming He, Karl Bladin, Hao Li:
Dynamic Facial Asset and Rig Generation from a Single Scan. - José Manuél Gómez-Pérez, Raúl Ortega:
ISAAQ - Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention. - Hassan Ismail Fawaz:
Deep learning for time series classification. - Julian Martin Eisenschlos, Syrine Krichene, Thomas Müller:
Understanding tables with intermediate pre-training. - Hanjiang Hu, Ming Cheng, Zhe Liu, Hesheng Wang:
DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based Localization. - Ian Gemp, Kevin R. McKee, Richard Everett, Edgar A. Duéñez-Guzmán, Yoram Bachrach, David Balduzzi, Andrea Tacchetti:
D3C: Reducing the Price of Anarchy in Multi-Agent Learning. - Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov:
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking. - Yuandong Tian, Lantao Yu, Xinlei Chen, Surya Ganguli:
Understanding Self-supervised Learning with Dual Deep Networks. - Kamal Ndousse, Douglas Eck, Sergey Levine, Natasha Jaques:
Multi-agent Social Reinforcement Learning Improves Generalization. - David Lafontaine, Euan A. Spence, Jared Wunsch:
Wavenumber-explicit convergence of the hp-FEM for the full-space heterogeneous Helmholtz equation with smooth coefficients. - Jiafan He, Dongruo Zhou, Quanquan Gu:
Minimax Optimal Reinforcement Learning for Discounted MDPs. - Ohad Elishco, Alexander Barg:
Recoverable Systems. - Isaac Waller, Ashton Anderson:
Community embeddings reveal large-scale cultural organization of online platforms. - Emily Chen, Ashok Deb, Emilio Ferrara:
#Election2020: The First Public Twitter Dataset on the 2020 US Presidential Election. - Vivek Natarajan:
Compensating PDE actuator and sensor dynamics using Sylvester equation. - Lucas Potter, Orlando Ayala, Xavier-Lewis Palmer:
Biocybersecurity - A Converging Threat as an Auxiliary to War. - Or Avnat, Irad Yavneh:
On the recursive structure of multigrid cycles. - Mehdi Ahmadi, Shervin Vakili, J. M. Pierre Langlois:
CARLA: A Convolution Accelerator with a Reconfigurable and Low-Energy Architecture. - Isaac Grosof, Mor Harchol-Balter, Alan Scheller-Wolf:
Stability for Two-class Multiserver-job Systems. - David Vilares, Carlos Gómez-Rodríguez:
Discontinuous Constituent Parsing as Sequence Labeling. - Wenlong Wu, James M. Keller, Jeffrey Dale, James C. Bezdek:
StreamSoNG: A Soft Streaming Classification Approach. - László Györfi, Roi Weiss:
Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces. - Insaf Ashrapov:
Tabular GANs for uneven distribution. - Massimo Germano:
The h-index and the Harmonic Mean. - Qingchao Zhang, Coy D. Heldermon, Corey Toler-Franklin:
Multiscale Detection of Cancerous Tissue in High Resolution Slide Scans. - Mohammad Javad Shayegan, Mohadese Valizadeh:
A Recommender System based on the analysis of personality traits in Telegram social network. - Piotr Faliszewski, Rica Gonen, Martin Koutecký, Nimrod Talmon:
Opinion Diffusion and Campaigning on Society Graphs. - Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat:
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models. - Rui Meng, Zhen Yue, Alyssa Glass:
Predicting User Engagement Status for Online Evaluation of Intelligent Assistants. - Nur Imtiazul Haque, Md Hasan Shahriar, Md Golam Dastgir, Anjan Debnath, Imtiaz Parvez, Arif I. Sarwat, Mohammad Ashiqur Rahman:
Machine Learning in Generation, Detection, and Mitigation of Cyberattacks in Smart Grid: A Survey. - Parinaz Rahimizadeh, Mohammad Javad Shayegan:
Event Detection in Twitter by Weighting Tweet's Features. - Hanjie Chen, Yangfeng Ji:
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers. - Sam Sattarzadeh, Mahesh Sudhakar, Anthony Lem, Shervin Mehryar, Kostas N. Plataniotis, Jongseong Jang, Hyunwoo Kim, Yeonjeong Jeong, Sangmin Lee, Kyunghoon Bae:
Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation. - Jiaming Shen, Heng Ji, Jiawei Han:
Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding. - Yan Shvartzshnaider, Ananth Balashankar, Vikas Patidar, Thomas Wies, Lakshminarayanan Subramanian:
Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling. - Li Jing, Jure Zbontar, Yann LeCun:
Implicit Rank-Minimizing Autoencoder. - Minsung Kim, Davide Venturelli, Kyle Jamieson:
Towards Hybrid Classical-Quantum Computation Structures in Wirelessly-Networked Systems. - Jussi Viinikka, Antti Hyttinen, Johan Pensar, Mikko Koivisto:
Towards Scalable Bayesian Learning of Causal DAGs. - Prithviraj Ammanabrolu, Jack Urbanek, Margaret Li, Arthur Szlam, Tim Rocktäschel, Jason Weston:
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds. - Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim:
Active Learning for Bayesian 3D Hand Pose Estimation. - Ramy Shahin, Marsha Chechik:
Automatic and Efficient Variability-Aware Lifting of Functional Programs. - Simon Niklaus, Xuaner Cecilia Zhang, Jonathan T. Barron, Neal Wadhwa, Rahul Garg, Feng Liu, Tianfan Xue:
Learned Dual-View Reflection Removal. - Arthur J. Redfern, Lijun Zhu, Molly K. Newquist:
BCNN: A Binary CNN with All Matrix Ops Quantized to 1 Bit Precision. - Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis:
Nearest Neighbor Machine Translation. - Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen:
A Survey of the State of Explainable AI for Natural Language Processing. - Jinjie Zhang, Rayan Saab:
Faster Binary Embeddings for Preserving Euclidean Distances. - Jarallah Alqahtani, Sultan Alanazi, Bechir Hamdaoui:
Traffic Behavior in Cloud Data Centers: A Survey. - Bruno Ferrarini, Michael Milford, Klaus D. McDonald-Maier, Shoaib Ehsan:
Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments. - Yanyu Zhang:
Deep Reinforcement Learning with Mixed Convolutional Network. - Sultan Alanazi, Bechir Hamdaoui:
CAFT: Congestion-Aware Fault-Tolerant Load Balancing for Three-Tier Clos Data Centers. - Spiridon Kasapis, Geng Zhang, Jonathon M. Smereka, Nickolas Vlahopoulos:
Using ROC and Unlabeled Data for Increasing Low-Shot Transfer Learning Classification Accuracy. - Ameet Deshpande, Mitesh M. Khapra:
Evaluating a Generative Adversarial Framework for Information Retrieval. - Amir Shahmoradi, Fatemeh Bagheri, Joshua Alexander Osborne:
Fast fully-reproducible serial/parallel Monte Carlo and MCMC simulations and visualizations via ParaMonte: : Python library. - Katsutoshi Yoshida, Yoshikazu Yamanaka:
Parameter Estimation via Fokker-Planck Type Residual: Application to Linear Stationary Random Vibration. - Christina Pavlopoulou, Michael J. Carey, Vassilis J. Tsotras:
Revisiting Runtime Dynamic Optimization for Join Queries in Big Data Management Systems. - Muhammad Marwan Muhammad Fuad:
Modifying the Symbolic Aggregate Approximation Method to Capture Segment Trend Information. - Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sidney Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun:
LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion. - Muhammad Marwan Muhammad Fuad:
Extreme-SAX: Extreme Points Based Symbolic Representation for Time Series Classification. - Rohith Talwar, Nancy Amala, George Medina, Akshadeep Singh Jida, Mohammed E. Eltayeb:
Exploiting Multi-Path for Safeguarding mmWave Communications Against Randomly Located Eavesdroppers. - Yufang Huang, Wentao Zhu, Deyi Xiong, Yiye Zhang, Changjian Hu, Feiyu Xu:
Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer. - Fei Lu:
Data-driven model reduction for stochastic Burgers equations. - M. Usman Maqbool Bhutta, Shoaib Aslam, Peng Yun, Jianhao Jiao, Ming Liu:
Smart-Inspect: Micro Scale Localization and Classification of Smartphone Glass Defects for Industrial Automation. - Mustafa Hajij, Kyle Istvan, Ghada Zamzmi:
Cell Complex Neural Networks. - Thomas Krenc, Robert Beverly, Georgios Smaragdakis:
Keep your Communities Clean: Exploring the Routing Message Impact of BGP Communities. - Yuhao Zhang, Hang Jiang, Yasuhide Miura, Christopher D. Manning, Curtis P. Langlotz:
Contrastive Learning of Medical Visual Representations from Paired Images and Text. - Noushin Mehdipour, Cristian Ioan Vasile, Calin Belta:
Specifying User Preferences using Weighted Signal Temporal Logic. - Kate Donahue, Jon M. Kleinberg:
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation. - Neil J. Gunther:
P = FS: Parallel is Just Fast Serial. - Zhe Jiang, Marcus Stephen Kirby, Wenchong He, Arpan Man Sainju:
Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors. - Jack G. M. Fitzgerald:
STIL - Simultaneous Slot Filling, Translation, Intent Classification, and Language Identification: Initial Results using mBART on MultiATIS++. - Hongyu Gong, Suma Bhat, Pramod Viswanath:
Enriching Word Embeddings with Temporal and Spatial Information. - Weili Nie, Zhiding Yu, Lei Mao, Ankit B. Patel, Yuke Zhu, Animashree Anandkumar:
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning. - Heng Yang, Biqing Zeng:
Enhancing Fine-grained Sentiment Classification Exploiting Local Context Embedding. - Yang Bai, Xiaoguang Li, Gang Wang, Chaoliang Zhang, Lifeng Shang, Jun Xu, Zhaowei Wang, Fangshan Wang, Qun Liu:
SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval. - Kexin Pei, Jonas Guan, David Williams-King, Junfeng Yang, Suman Jana:
XDA: Accurate, Robust Disassembly with Transfer Learning. - Talia Ringer, RanDair Porter, Nathaniel Yazdani, John Leo, Dan Grossman:
Proof Repair Across Type Equivalences. - Jingren Xu, Yukiyasu Domae, Toshio Ueshiba, Weiwei Wan, Kensuke Harada:
Planning a Sequence of Base Positions for a Mobile Manipulator to Perform Multiple Pick-and-Place Tasks. - Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto:
Towards Multi-Robot Task-Motion Planning for Navigation in Belief Space. - Kristjan Arumae, Qing Sun, Parminder Bhatia:
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training. - Santiago Gonzalez, Risto Miikkulainen:
Effective Regularization Through Loss-Function Metalearning. - Keng Meng Ng, Nazanin Roshandel Tavana, Yue Yang:
A recursion theoretic foundation of computation over real numbers. - Katsuhiko Ishiguro, Kazuya Ujihara, Ryohto Sawada, Hirotaka Akita, Masaaki Kotera:
Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis. - Chongyi Li, Runmin Cong, Chunle Guo, Hua Li, Chunjie Zhang, Feng Zheng, Yao Zhao:
A Parallel Down-Up Fusion Network for Salient Object Detection in Optical Remote Sensing Images. - Zheng Li, Ying Huang, Defang Chen, Tianren Luo, Ning Cai, Zhigeng Pan:
Online Knowledge Distillation via Multi-branch Diversity Enhancement. - Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng:
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. - MaungMaung AprilPyone, Hitoshi Kiya:
Block-wise Image Transformation with Secret Key for Adversarially Robust Defense. - Thomas Kurbiel, Akash Sachdeva, Kun Zhao, Markus Bühren:
PrognoseNet: A Generative Probabilistic Framework for Multimodal Position Prediction given Context Information. - Sudharsan Parthasarathy, Rakshith Jagannath:
Ranging success probability of PPP distributed automotive radar in presence of generalized fading. - Elisenda Feliu, AmirHosein Sadeghimanesh:
Kac-Rice formulas and the number of solutions of parametrized systems of polynomial equations. - Phat Thai, Sameer Alam, Nimrod Lilith, Phu N. Tran, Nguyen Thanh Binh:
Deep4Air: A Novel Deep Learning Framework for Airport Airside Surveillance. - Sebastian Reiche, Christoph Benzmüller:
Public Announcement Logic in HOL. - Alexandre Goy, Daniela Petrisan:
Combining Weak Distributive Laws: Application to Up-To Techniques. - Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Xiaofang Zhou:
Overcoming Data Sparsity in Group Recommendation. - Ryoji Tanabe, Hisao Ishibuchi:
An Analysis of Control Parameters of MOEA/D Under Two Different Optimization Scenarios. - Benjamín Gutiérrez-Becker, Ignacio Sarasua, Christian Wachinger:
Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks. - Wolfgang Fuhl, Yao Rong, Thomas Motz, Michael Scheidt, Andreas Hartel, Andreas Koch, Enkelejda Kasneci:
Explainable Online Validation of Machine Learning Models for Practical Applications. - Gede Artha Azriadi Prana, Denae Ford, Ayushi Rastogi, David Lo, Rahul Purandare, Nachiappan Nagappan:
Including Everyone, Everywhere: Understanding Opportunities and Challenges of Geographic Gender-Inclusion in OSS. - Sunghyeon Kim, Hyeyoon Lee, Sunjong Park, Jinho Lee, Keunwoo Choi:
Deep Composer Classification Using Symbolic Representation. - Lirui Wang, Yu Xiang, Dieter Fox:
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds. - Ronny Tredup, Evgeny Erofeev:
The Complexity of Boolean State Separation (Technical Report). - Patrick Kenekayoro:
Incorporating Machine Learning to Evaluate Solutions to the University Course Timetabling Problem. - Weitong Zhang, Dongruo Zhou, Lihong Li, Quanquan Gu:
Neural Thompson Sampling. - Joachim Meyer, James K. Kuchar:
Maximal benefits and possible detrimental effects of binary decision aids. - Bjarne Großmann, Francesco Rovida, Volker Krüger:
Continuous close-range 3D object pose estimation. - Tim T. Pedersen, Marta Victoria, Morten G. Rasmussen, Gorm Bruun Andresen:
Modeling all alternative solutions for highly renewable energy systems. - Leonardo Anjoletto Ferreira, Douglas De Rizzo Meneghetti, Paulo Eduardo Santos:
CAPTION: Correction by Analyses, POS-Tagging and Interpretation of Objects using only Nouns. - Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Raul Puri, Pascale Fung, Anima Anandkumar, Bryan Catanzaro:
MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models. - Dominique Duval, Rachid Echahed, Frédéric Prost:
All You Need Is CONSTRUCT. - Pawel Trajdos, Robert Burduk:
Linear Classifier Combination via Multiple Potential Functions. - Dongfang Xu, Xianghao Yu, Vahid Jamali, Derrick Wing Kwan Ng, Robert Schober:
Resource Allocation for Large IRS-Assisted SWIPT Systems with Non-linear Energy Harvesting Model. - Rui Tang, Songjie Xie, Youlong Wu:
On the Achievable Rate Region of the K-Receiver Broadcast Channels via Exhaustive Message Splitting. - Muhammad Rana, Quazi Mamun, Md. Rafiqul Islam:
Current Lightweight Cryptography Protocols in Smart City IoT Networks: A Survey. - Patrick Xia, Shijie Wu, Benjamin Van Durme:
Which *BERT? A Survey Organizing Contextualized Encoders. - Dinithi Sumanaweera, Lloyd Allison, Arun Siddharth Konagurthu:
Bridging the Gaps in Statistical Models of Protein Alignment. - Vani Kanjirangat, Sandra Mitrovic, Alessandro Antonucci, Fabio Rinaldi:
SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces. - Claire Nédellec, Wiktoria Golik, Sophie Aubin, Robert Bossy:
Building Large Lexicalized Ontologies from Text: a Use Case in Automatic Indexing of Biotechnology Patents. - Wenhui Zhang, Jindan Xu, Wei Xu, Derrick Wing Kwan Ng, Huan Sun:
Cascaded Channel Estimation for IRS-assisted Mmwave Multi-antenna with Quantized Beamforming. - Wolfgang Fuhl, Enkelejda Kasneci:
Weight and Gradient Centralization in Deep Neural Networks. - Francesc Aràndiga, Dionisio F. Yáñez:
General adaptive rational interpolation with maximum order close to discontinuities. - Niloofar Okati, Taneli Riihonen:
Stochastic Analysis of Satellite Broadband by Mega-Constellations with Inclined LEOs. - Wolfgang Fuhl, Enkelejda Kasneci:
Rotated Ring, Radial and Depth Wise Separable Radial Convolutions. - John N. Jomo, Oguz Oztoprak, Frits de Prenter, Nils Zander, Stefan Kollmannsberger, Ernst Rank:
Hierarchical multigrid approaches for the finite cell method on uniform and multi-level hp-refined grids. - Chao Tao, Ji Qi, Weipeng Lu, Hao Wang, Haifeng Li:
Remote Sensing Image Scene Classification with Self-Supervised Paradigm under Limited Labeled Samples. - Carlos Gaete-Morales, Martin Kittel, Alexander Roth, Wolf-Peter Schill, Alexander Zerrahn:
DIETERpy: a Python framework for The Dispatch and Investment Evaluation Tool with Endogenous Renewables. - Shreya Tayade, Peter Rost, Andreas Mäder, Hans D. Schotten:
Impact of Short Blocklength Coding on Stability of an AGV Control System in Industry 4.0. - Johannes Lederer:
No Spurious Local Minima: on the Optimization Landscapes of Wide and Deep Neural Networks. - An Nguyen, Srijeet Chatterjee, Sven Weinzierl, Leo Schwinn, Martin Matzner, Bjoern M. Eskofier:
Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring. - Javad Amirian, Bingqing Zhang, Francisco Valente Castro, Juan Jose Baldelomar, Jean-Bernard Hayet, Julien Pettré:
OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets. - Robert M. Gower, Mark Schmidt, Francis R. Bach, Peter Richtárik:
Variance-Reduced Methods for Machine Learning. - Vivek Mahato, Muhannad Ahmed Obeidi, Dermot Brabazon, Padraig Cunningham:
An Evaluation of Classification Methods for 3D Printing Time-Series Data. - Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni:
Autoregressive Entity Retrieval. - Vasisht Duddu, Antoine Boutet, Virat Shejwalkar:
Quantifying Privacy Leakage in Graph Embedding. - Nobukatsu Kajiura, Satoshi Kosugi, Xueting Wang, Toshihiko Yamasaki:
Self-Play Reinforcement Learning for Fast Image Retargeting. - Fei Mi, Liangwei Chen, Mengjie Zhao, Minlie Huang, Boi Faltings:
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems. - Yotam M. Y. Feldman, Artem Khyzha, Constantin Enea, Adam Morrison, Aleksandar Nanevski, Noam Rinetzky, Sharon Shoham:
Proving Highly-Concurrent Traversals Correct. - Vasisht Duddu, Antoine Boutet, Virat Shejwalkar:
GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep Learning. - Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund, H. Vincent Poor:
Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing. - Haim Kaplan, Yishay Mansour, Uri Stemmer:
The Sparse Vector Technique, Revisited. - Larry Bull:
Are Artificial Dendrites useful in NeuroEvolution? - Maximus Mutschler, Andreas Zell:
A straightforward line search approach on the expected empirical loss for stochastic deep learning problems. - Chaoqun Xia, Xiaorun Li, Liaoying Zhao, Shuhan Chen:
Multiple Infrared Small Targets Detection based on Hierarchical Maximal Entropy Random Walk. - Dimitrios Skarlatos, Panagiotis Agrafiotis:
Image-based underwater 3D reconstruction for Cultural Heritage: from image collection to 3D. Critical steps and considerations. - Huynh Van Luong, Boris Joukovsky, Yonina C. Eldar, Nikos Deligiannis:
A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation. - Benjamin Aram Berendsohn, László Kozma:
Splay trees on trees. - Jacob Evald, Viktor Fredslund-Hansen, Maximilian Probst Gutenberg, Christian Wulff-Nilsen:
Decremental APSP in Directed Graphs Versus an Adaptive Adversary. - Gian-Luca Savino:
Virtual Smartphone: High Fidelity Interaction with Proxy Objects in Virtual Reality. - Mahsa Pourbafrani, Wil M. P. van der Aalst:
PMSD: Data-Driven Simulation Using System Dynamics and Process Mining. - C. F. Sagar Zephania, Tapas Sil:
Study of autonomous conservative oscillator using an improved perturbation method. - Shengyu Zhang, Donghui Wang, Zhou Zhao, Siliang Tang, Di Xie, Fei Wu:
MGD-GAN: Text-to-Pedestrian generation through Multi-Grained Discrimination. - T. Konstantin Rusch, Siddhartha Mishra:
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies. - Muhammad Hammad, Önder Babur, Hamid Abdul Basit:
Augmenting Machine Learning with Information Retrieval to Recommend Real Cloned Code Methods for Code Completion. - Alessio Conte, Roberto Grossi, Andrea Marino, Luca Versari:
Efficient Estimation of Graph Trussness. - Yuchao Gu, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu, Ming-Ming Cheng:
DOTS: Decoupling Operation and Topology in Differentiable Architecture Search. - Siddharth Barman, Omar Fawzi, Paul Fermé:
Tight Approximation Guarantees for Concave Coverage Problems. - Rao Fu, Jie Yang, Jiawei Sun, Fang-Lue Zhang, Yu-Kun Lai, Lin Gao:
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval. - Zheming Wang, Raphaël M. Jungers, Chong-Jin Ong:
Computation of invariant sets via immersion for discrete-time nonlinear systems. - Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng:
Taking Modality-free Human Identification as Zero-shot Learning. - David W. Romero, Jean-Baptiste Cordonnier:
Group Equivariant Stand-Alone Self-Attention For Vision. - Henry B. Moss, Daniel Beck, Javier Gonzalez, David S. Leslie, Paul Rayson:
BOSS: Bayesian Optimization over String Spaces. - Andreas Rücklé, Jonas Pfeiffer, Iryna Gurevych:
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale. - Vito Walter Anelli, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra:
An Empirical Study of DNNs Robustification Inefficacy in Protecting Visual Recommenders. - Hu Liu, Jing Lu, Xiwei Zhao, Sulong Xu, Hao Peng, Yutong Liu, Zehua Zhang, Jian Li, Junsheng Jin, Yongjun Bao, Weipeng Yan:
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction. - Boris N. Oreshkin, Tal Arbel:
Uncertainty driven probabilistic voxel selection for image registration. - Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann:
Knowledge Graph Embeddings in Geometric Algebras. - Teddy Furon:
Note: An alternative proof of the vulnerability of k-NN classifiers in high intrinsic dimensionality regions. - Raphael Ortiz, Gustavo de Medeiros, Antoine H. F. M. Peters, Prisca Liberali, Markus Rempfler:
RDCNet: Instance segmentation with a minimalist recurrent residual network. - Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran:
MADRaS : Multi Agent Driving Simulator. - Dong Quan Ngoc Nguyen, Lin Xing:
A local geometry of hyperedges in hypergraphs, and its applications to social networks. - Ylva Ferstl, Michael Neff, Rachel McDonnell:
Understanding the Predictability of Gesture Parameters from Speech and their Perceptual Importance. - Awni Y. Hannun, Vineel Pratap, Jacob Kahn, Wei-Ning Hsu:
Differentiable Weighted Finite-State Transducers. - Vera Steinhoff, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Christian Grimme:
Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent. - Haoshu Fang, Yichen Xie, Dian Shao, Cewu Lu:
DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection. - Yichen Xie, Haoshu Fang, Dian Shao, Yong-Lu Li, Cewu Lu:
DecAug: Augmenting HOI Detection via Decomposition. - Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
Deep Convolutional Transform Learning - Extended version. - Bastian Alt, Matthias Schultheis, Heinz Koeppl:
POMDPs in Continuous Time and Discrete Spaces. - Qinbin Li, Bingsheng He, Dawn Song:
Model-Agnostic Round-Optimal Federated Learning via Knowledge Transfer. - Mostafa Haghir Chehreghani:
Generalized Centrality Aggregation and Exclusive Centrality. - Shubham Singh, Zengou Ma, Daniele Giunchi, Anthony Steed:
Real-time Collaboration Between Mixed Reality Users in Geo-referenced Virtual Environment. - Wolfgang Merkt, Vladimir Ivan, Traiko Dinev, Ioannis Havoutis, Sethu Vijayakumar:
Memory Clustering using Persistent Homology for Multimodality- and Discontinuity-Sensitive Learning of Optimal Control Warm-starts. - Yannis Kalantidis, Mert Bülent Sariyildiz, Noé Pion, Philippe Weinzaepfel, Diane Larlus:
Hard Negative Mixing for Contrastive Learning. - Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann:
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation. - Xiao Fan Liu, Xin-Jian Jiang, Si-Hao Liu, Chi Kong Tse:
Knowledge Discovery in Cryptocurrency Transactions: A Survey. - Ryoji Tanabe, Alex Fukunaga:
How Far Are We From an Optimal, Adaptive DE? - Sebastian Echeandia, Patrick M. Wensing:
Numerical Methods to Compute the Coriolis Matrix and Christoffel Symbols for Rigid-Body Systems. - Matthew Smith, Martin Strohmeier, Vincent Lenders, Ivan Martinovic:
Understanding Realistic Attacks on Airborne Collision Avoidance Systems. - Ryoji Tanabe, Alex Fukunaga:
Reviewing and Benchmarking Parameter Control Methods in Differential Evolution. - Sanjukta Krishnagopal, Jacob Bedrossian:
Encoded Prior Sliced Wasserstein AutoEncoder for learning latent manifold representations. - Grzegorz Gluch, Rüdiger L. Urbanke:
Query complexity of adversarial attacks. - Samuel Coward, Erik Visse-Martindale, Chithrupa Ramesh:
Attention-Based Clustering: Learning a Kernel from Context. - David Niblick, Avinash C. Kak:
Homography Estimation with Convolutional Neural Networks Under Conditions of Variance. - Alexander D. Gilbert, Robert Scheichl:
Multilevel quasi-Monte Carlo for random elliptic eigenvalue problems I: Regularity and error analysis. - Marwa Kechaou, Romain Hérault, Mokhtar Z. Alaya, Gilles Gasso:
Open Set Domain Adaptation using Optimal Transport. - Gen Li, Yuantao Gu, Jie Ding:
The Efficacy of L1s Regularization in Two-Layer Neural Networks. - Alper Kamil Bozkurt, Yu Wang, Michael M. Zavlanos, Miroslav Pajic:
Model-Free Reinforcement Learning for Stochastic Games with Linear Temporal Logic Objectives. - Minsuk Shin, Hyungjoo Cho, Sungbin Lim:
Neural Bootstrapper. - Jaume Banus, Maxime Sermesant, Oscar Camara, Marco Lorenzi:
Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets. - Eric Malmi, Aliaksei Severyn, Sascha Rothe:
Unsupervised Text Style Transfer with Padded Masked Language Models. - Duc Viet Le, Arthur Gervais:
AMR: Autonomous Coin Mixer with Privacy Preserving Reward Distribution. - Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, Yuji Matsumoto:
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention. - Zhuqing Jia, Syed Ali Jafar:
X-Secure T-Private Federated Submodel Learning. - Nils Rethmeier, Isabelle Augenstein:
Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data. - Luisa M. Zintgraf, Leo Feng, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson:
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning. - Tomasz Limisiewicz, David Marecek:
Syntax Representation in Word Embeddings and Neural Networks - A Survey. - Matthew Abate, Samuel Coogan:
Improving the Fidelity of Mixed-Monotone Reachable Set Approximations via State Transformations. - Shangtong Zhang, Romain Laroche, Harm van Seijen, Shimon Whiteson, Remi Tachet des Combes:
A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms. - Mark Jeeninga, Claudio De Persis, Arjan van der Schaft:
DC power grids with constant-power loads - Part I: A full characterization of power flow feasibility, long-term voltage stability and their correspondence. - Moritz Wolf, Dana Ruiter, Ashwin Geet D'Sa, Liane Reiners, Jan Alexandersson, Dietrich Klakow:
HUMAN: Hierarchical Universal Modular ANnotator. - Kurt Shuster, Eric Michael Smith, Da Ju, Jason Weston:
Multi-Modal Open-Domain Dialogue. - Caelan Reed Garrett, Rohan Chitnis, Rachel M. Holladay, Beomjoon Kim, Tom Silver, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Integrated Task and Motion Planning. - Marius Leordeanu, Mihai Cristian Pîrvu, Dragos Costea, Alina Marcu, Emil Slusanschi, Rahul Sukthankar:
Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus. - Giuseppe Cota, Riccardo Zese, Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi:
A Framework for Reasoning on Probabilistic Description Logics. - Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matthew J. Kusner:
Pre-Training by Completing Point Clouds. - Franziska Lippoldt:
Efficient Colon Cancer Grading with Graph Neural Networks. - Chaoyue Liu, Libin Zhu, Mikhail Belkin:
On the linearity of large non-linear models: when and why the tangent kernel is constant. - Kun Yuan, Quanquan Li, Dapeng Chen, Aojun Zhou, Junjie Yan:
Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks. - Harold N. Gabow:
A Weight-scaling Algorithm for f-factors of Multigraphs. - George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu:
Cross-Lingual Transfer Learning for Complex Word Identification. - Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli, Radu Timofte:
AIM 2020 Challenge on Image Extreme Inpainting. - Lanqing Li, Rui Yang, Dijun Luo:
Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization. - Anahid Rafieifar, Seyed Mohammad Razavizadeh:
Secrecy Rate Maximization in Multi-IRS Millimeter Wave Networks. - Patrick Dendorfer, Aljosa Osep, Laura Leal-Taixé:
Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation. - Henry B. Moss, Ryan-Rhys Griffiths:
Gaussian Process Molecule Property Prediction with FlowMO. - Harsh A. Shukla, Tafarel de Avila Ferreira, Timm Faulwasser, Dominique Bonvin, Colin N. Jones:
Convergence Certificate for Stochastic Derivative-Free Trust-Region Methods based on Gaussian Processes. - Boris Galkin, Erika Fonseca, Ramy Amer, Luiz A. DaSilva, Ivana Dusparic:
REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association. - Soham Shah, Siddhi Vinayak Pandey, Archit Sorathiya, Raj Sheth, Alok Kumar Singh, Jignesh Thaker:
Embedded Systems and Computer Vision Techniques utilized in Spray Painting Robots: A Review. - Chih-Ting Liu, Yu-Jhe Li, Shao-Yi Chien, Yu-Chiang Frank Wang:
Semantics-Guided Clustering with Deep Progressive Learning for Semi-Supervised Person Re-identification. - David R. Bellamy, Leo A. Celi, Andrew L. Beam:
Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data. - Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cécile Paris:
Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media. - Frederic Koehler, Viraj Mehta, Andrej Risteski:
Representational aspects of depth and conditioning in normalizing flows. - Zhenyu Wu, Duc Hoang, Shih-Yao Lin, Yusheng Xie, Liangjian Chen, Yen-Yu Lin, Zhangyang Wang, Wei Fan:
MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis. - Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa, David R. Mortensen, Zaid Sheikh, Yulia Tsvetkov, Graham Neubig:
Automatic Extraction of Rules Governing Morphological Agreement. - Renat Sergazinov, Miroslav Kramár:
Machine learning approach to force reconstruction in photoelastic materials. - Riccardo Bertolucci, Alessio Capitanelli, Carmine Dodaro, Nicola Leone, Marco Maratea, Fulvio Mastrogiovanni, Mauro Vallati:
Manipulation of Articulated Objects using Dual-arm Robots via Answer Set Programming. - Zeljko Kraljevic, Thomas Searle, Anthony Shek, Lukasz Roguski, Kawsar Noor, Daniel Bean, Aurelie Mascio, Leilei Zhu, Amos A. Folarin, Angus Roberts, Rebecca Bendayan, Mark P. Richardson, Robert Stewart, Anoop D. Shah, Wai Keong Wong, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson:
Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit. - Vineeth Ravi, Selim Amrouni, Andrea Stefanucci, Prashant P. Reddy, Manuela Veloso:
AI pptX: Robust Continuous Learning for Document Generation with AI Insights. - Brendon G. Anderson, Somayeh Sojoudi:
Data-Driven Assessment of Deep Neural Networks with Random Input Uncertainty. - Peng Zhang, Douglas C. Schmidt, Jules White:
A Pattern Sequence for Designing Blockchain-Based Healthcare Information Technology Systems. - Sumeet Menon, David R. Chapman, Phuong Nguyen, Yelena Yesha, Michael Morris, Babak Saboury:
Deep Expectation-Maximization for Semi-Supervised Lung Cancer Screening. - Lun Wang, Qi Pang, Shuai Wang, Dawn Song:
F2ED-Learning: Good Fences Make Good Neighbors. - Viktor Shipitsin, Iaroslav Bespalov, Dmitry V. Dylov:
Adaptive Neural Layer for Globally Filtered Segmentation. - Ralph Abboud, Ismail Ilkan Ceylan, Martin Grohe, Thomas Lukasiewicz:
The Surprising Power of Graph Neural Networks with Random Node Initialization. - Gianluca Brero, Alon Eden, Matthias Gerstgrasser, David C. Parkes, Duncan Rheingans-Yoo:
Reinforcement Learning of Simple Indirect Mechanisms. - Sukru Yagiz Olmez, Amirhossein Taghvaei, Prashant G. Mehta:
Deep FPF: Gain function approximation in high-dimensional setting. - Gergely Flamich, Marton Havasi, José Miguel Hernández-Lobato:
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding. - Laëtitia Shao, Max Moroz, Elad Eban, Yair Movshovitz-Attias:
Neighbourhood Distillation: On the benefits of non end-to-end distillation. - Sijin Cheng, Olaf Hartig:
FedQPL: A Language for Logical Query Plans over Heterogeneous Federations of RDF Data Sources (Extended Version). - Vincent Cartillier, Zhile Ren, Neha Jain, Stefan Lee, Irfan Essa, Dhruv Batra:
Semantic MapNet: Building Allocentric SemanticMaps and Representations from Egocentric Views. - Sanjeevan Ahilan, Peter Dayan:
Correcting Experience Replay for Multi-Agent Communication. - Saar Kuzi, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork:
Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach. - Shikhar Gupta, Arpan Vyas, Gaurav Trivedi:
FPGA Implementation of Simplified Spiking Neural Network. - John B. Sigman, Gregory P. Spell, Kevin J. Liang, Lawrence Carin:
Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images. - Kourosh Meshgi, Maryam Sadat Mirzaei, Shigeyuki Oba:
Leveraging Tacit Information Embedded in CNN Layers for Visual Tracking. - Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang:
f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning. - Abhishek Ninad Kulkarni, Jie Fu, Huan Luo, Charles A. Kamhoua, Nandi O. Leslie:
Decoy Allocation Games on Graphs with Temporal Logic Objectives. - Dmitry Zinoviev, Shana Cote, Robert Diaz:
Complex Network Analysis of North American Institutions of Higher Education on Twitter. - Brahayam Ponton, Majid Khadiv, Avadesh Meduri, Ludovic Righetti:
Efficient Multi-Contact Pattern Generation with Sequential Convex Approximations of the Centroidal Dynamics. - Vishal Mandal, Abdul Rashid Mussah, Peng Jin, Yaw Adu-Gyamfi:
Artificial Intelligence Enabled Traffic Monitoring System. - Giovanni Bellitto, Federica Proietto Salanitri, Simone Palazzo, Francesco Rundo, Daniela Giordano, Concetto Spampinato:
Video Saliency Detection with Domain Adaptation using Hierarchical Gradient Reversal Layers. - Long Teng, Weidong Zhao:
High-order combined Multi-step Scheme for solving forward Backward Stochastic Differential Equations. - Jinho Choi:
Random Access with Layered Preambles based on NOMA for Two Different Types of Devices in MTC. - Arun Das, Jeffrey Mock, Henry Chacon, Farzan Irani, Edward J. Golob, Peyman Najafirad:
Stuttering Speech Disfluency Prediction using Explainable Attribution Vectors of Facial Muscle Movements. - Tianjiao Ni, Minghao Qiao, Zhili Chen, Shun Zhang, Hong Zhong:
Utility-efficient Differentially Private K-means Clustering based on Cluster Merging. - Zhili Chen, Yuting Wang, Tianjiao Ni, Hong Zhong:
DCDChain: A Credible Architecture of Digital Copyright Detection Based on Blockchain. - Gustavo Olague, Gerardo Ibarra-Vázquez, Mariana Chan-Ley, Cesar Puente, Carlos Soubervielle-Montalvo, Axel Martinez:
A Deep Genetic Programming based Methodology for Art Media Classification Robust to Adversarial Perturbations. - Mingda Chen, Zewei Chu, Karl Stratos, Kevin Gimpel:
Mining Knowledge for Natural Language Inference from Wikipedia Categories. - Kesha Hietala, Robert Rand, Shih-Han Hung, Liyi Li, Michael Hicks:
Proving Quantum Programs Correct. - Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin:
Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. - Yae Jee Cho, Jianyu Wang, Gauri Joshi:
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies. - Jayanth Reddy Regatti, Aniket Anand Deshmukh, Eren Manavoglu, Ürün Dogan:
Consensus Clustering with Unsupervised Representation Learning. - Yifan Xing, Yuanjun Xiong, Wei Xia:
3D-Aided Data Augmentation for Robust Face Understanding. - Zhun Deng, Cynthia Dwork, Jialiang Wang, Linjun Zhang:
Interpreting Robust Optimization via Adversarial Influence Functions. - Zhichao Huang, Yaowei Huang, Tong Zhang:
CorrAttack: Black-box Adversarial Attack with Structured Search. - Jingfei Chang, Yang Lu, Ping Xue, Xing Wei, Zhen Wei:
UCP: Uniform Channel Pruning for Deep Convolutional Neural Networks Compression and Acceleration. - Xue-She Wang, Brian P. Mann:
Attractor Selection in Nonlinear Energy Harvesting Using Deep Reinforcement Learning. - Bernhard Jenny, Magnus Heitzler, Dilpreet Singh, Marianna Farmakis-Serebryakova, Jeffery Chieh Liu, Lorenz Hurni:
Cartographic Relief Shading with Neural Networks. - Yue Shen, Maxim Bichuch, Enrique Mallada:
On the Value of Energy Storage in Generation Cost Reduction. - Areej Alsini, Du Q. Huynh, Amitava Datta:
Hit ratio: An Evaluation Metric for Hashtag Recommendation. - Samuel Lavoie-Marchildon, Faruk Ahmed, Aaron C. Courville:
Integrating Categorical Semantics into Unsupervised Domain Translation. - Xuhui Zhou, Nikolaos Pappas, Noah A. Smith:
Multilevel Text Alignment with Cross-Document Attention. - Enmao Diao, Jie Ding, Vahid Tarokh:
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients. - Chuheng Zhang, Yuanqi Li, Xi Chen, Yifei Jin, Pingzhong Tang, Jian Li:
DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis. - Yi Xu, Asaf Noy, Ming Lin, Qi Qian, Hao Li, Rong Jin:
WeMix: How to Better Utilize Data Augmentation. - Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu:
Partially-Aligned Data-to-Text Generation with Distant Supervision. - Mucheng Ren, Xiubo Geng, Tao Qin, Heyan Huang, Daxin Jiang:
Towards Interpretable Reasoning over Paragraph Effects in Situation. - Andreas Munk, William Harvey, Frank Wood:
Assisting the Adversary to Improve GAN Training. - Kai Lin:
A Control Strategy for Capacity Allocation of Hybrid Energy Storage System Based on Hierarchical Processing of Demand Power. - Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu:
Efficient Robust Training via Backward Smoothing. - Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu:
Does Network Width Really Help Adversarial Robustness? - Chao Tan:
TCLNet: Learning to Locate Typhoon Center Using Deep Neural Network. - Chao Tan:
Generating the Cloud Motion Winds Field from Satellite Cloud Imagery Using Deep Learning Approach. - Lingjuan Lyu, Xuanli He, Yitong Li:
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness. - N. R. Aravind, Udit Maniyar:
Planar projections of graphs. - Jiahui Gao, Yi Zhou, Philip L. H. Yu, Jiuxiang Gu:
Unsupervised Cross-lingual Image Captioning. - Chao Tan, Xin Feng:
Unsupervised Shadow Removal Using Target Consistency Generative Adversarial Network. - Jing Shuang Li, Carmen Amo Alonso, John C. Doyle:
MPC Without the Computational Pain: The Benefits of SLS and Layering in Distributed Control. - Péter Karkus, Mehdi Mirza, Arthur Guez, Andrew Jaegle, Timothy P. Lillicrap, Lars Buesing, Nicolas Heess, Theophane Weber:
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban. - Hafiq Anas, Bacha Rehman, Ong Wee Hong:
Deep Convolutional Neural Network Based Facial Expression Recognition in the Wild. - Kun Zhao, Yongkun Liu, Siyuan Hao, Shaoxing Lu, Hongbin Liu, Lijian Zhou:
Bounding Boxes Are All We Need: Street View Image Classification via Context Encoding of Detected Buildings. - Amirmohammad Kazameini, Samin Fatehi, Yash Mehta, Sauleh Eetemadi, Erik Cambria:
Personality Trait Detection Using Bagged SVM over BERT Word Embedding Ensembles. - Lucas N. Egidio, Anders Hansson, Bo Wahlberg:
Learning the Step-size Policy for the Limited-Memory Broyden-Fletcher-Goldfarb-Shanno Algorithm. - Fan Zhang, David Hall, Tao Xu, Stephen Boyle, David Bull:
A simulation environment for drone cinematography. - Rob Procter, Mark Rouncefield, Peter Tolmie:
Accounts, Accountability and Agency for Safe and Ethical AI. - Yilin Xiong, Zijian Zhou, Yuhao Dou, Zhizhong Su:
Gaussian Vector: An Efficient Solution for Facial Landmark Detection. - Lorenc Kapllani, Long Teng:
Deep Learning algorithms for solving high dimensional nonlinear Backward Stochastic Differential Equations. - Gareth W. Young, Katie Crowley:
The Design of Tangible Digital Musical Instruments. - Gareth W. Young, Dave Murphy:
Digital Musical Instrument Analysis: The Haptic Bowl. - Gareth W. Young, Dave Murphy:
HCI Models for Digital Musical Instruments: Methodologies for Rigorous Testing of Digital Musical Instruments. - Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
Multi-Step Adversarial Perturbations on Recommender Systems Embeddings. - Chen Feng, Luoyi Fu, Bo Jiang, Haisong Zhang, Xinbing Wang, Feilong Tang, Guihai Chen:
Neighborhood Matters: Influence Maximization in Social Networks with Limited Access. - Lianmeng Jiao, Thierry Denoeux, Zhun-ga Liu, Quan Pan:
EGMM: an Evidential Version of the Gaussian Mixture Model for Clustering. - Mohammad Amin Saeidi, Mohammad Javad Emadi, Hamed Masoumi, Mohammad Robat Mili, Derrick Wing Kwan Ng, Ioannis Krikidis:
Weighted Sum-Rate Maximization for Multi-IRS-assisted Full-Duplex Systems with Hardware Impairments. - Ayse Serbetci, Yusuf Sinan Akgül:
End-to-End Training of CNN Ensembles for Person Re-Identification. - Ayush Srivastava, Oshin Dutta, Prathosh AP, Sumeet Agarwal, Jigyasa Gupta:
A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition. - Vinayak Ramkumar, Myna Vajha, S. B. Balaji, M. Nikhil Krishnan, Birenjith Sasidharan, P. Vijay Kumar:
Codes for Distributed Storage. - Zhao Meng, Roger Wattenhofer:
A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples. - Massimo Bartoletti, Stefano Lande, Roberto Zunino:
Computationally sound Bitcoin tokens. - Oriol Corcoll, Raul Vicente:
Disentangling causal effects for hierarchical reinforcement learning. - Brett Daley, Christopher Amato:
Expectigrad: Fast Stochastic Optimization with Robust Convergence Properties. - Jiafei Duan, Samson Yu, Hui Li Tan, Cheston Tan:
Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D Environment. - Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu:
Perplexity-free Parametric t-SNE. - Vahid Yazdanpanah, Devrim Murat Yazan, W. Henk M. Zijm:
Dynamics and Allocation of Transaction Cost in Multiagent Industrial Symbiosis. - Mitre Costa Dourado, Vitor S. Ponciano, Rômulo L. O. da Silva:
On the monophonic rank of a graph. - Jiaoyang Li, Wheeler Ruml, Sven Koenig:
EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding. - Eran Malach, Shai Shalev-Shwartz:
Computational Separation Between Convolutional and Fully-Connected Networks. - Suzhi Bi, Liang Huang, Hui Wang, Ying-Jun Angela Zhang:
Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks. - Taotao Wang, Chonghe Zhao, Qing Yang, Shengli Zhang:
Ethna: Analyzing the Underlying Peer-to-Peer Network of the Ethereum Blockchain. - Gellért Weisz, Philip Amortila, Csaba Szepesvári:
Exponential Lower Bounds for Planning in MDPs With Linearly-Realizable Optimal Action-Value Functions. - Elad Rapaport, Ingmar Poese, Polina Zilberman, Oliver Holschke, Rami Puzis:
Predicting traffic overflows on private peering. - Jing Shi, Jing Bi, Yingru Liu, Chenliang Xu:
Cubic Spline Smoothing Compensation for Irregularly Sampled Sequences. - Stanislav Harizanov, Svetozar Margenov, Nedyu Popivanov:
Spectral Fractional Laplacian with Inhomogeneous Dirichlet Data: Questions, Problems, Solutions. - Yating Wang, Wei Deng, Guang Lin:
An adaptive Hessian approximated stochastic gradient MCMC method. - Purnata Ghosal, B. V. Raghavendra Rao:
Limitations of Sums of Bounded-Read Formulas. - Balaji Arun, Binoy Ravindran:
DuoBFT: Resilience vs. Efficiency Trade-off in Byzantine Fault Tolerance. - Mikhail Hushchyn, Kenenbek Arzymatov, Denis Derkach:
Online Neural Networks for Change-Point Detection. - G. Nehmetallah, Théophile Chaumont-Frelet, Stéphane Descombes, Stéphane Lanteri:
A postprocessing technique for a discontinuous Galerkin discretization of time-dependent Maxwell's equations. - Xue Han, Tingting Yu:
Automated Performance Tuning for Highly-Configurable Software Systems. - Maryam Ramezani, Amirmohammad Ziaei, Hamid R. Rabiee:
Joint Inference of Structure and Diffusion in Partially Observed Social Networks. - Sadaf Gulshad, Jan Hendrik Metzen, Arnold W. M. Smeulders:
Adversarial and Natural Perturbations for General Robustness. - Madhu Babu Vankadari, Sourav Garg, Anima Majumder, Swagat Kumar, Ardhendu Behera:
Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation. - Masahiro Kato, Kei Nakagawa:
Policy Gradient with Expected Quadratic Utility Maximization: A New Mean-Variance Approach in Reinforcement Learning. - David Gros, Hariharan Sezhiyan, Prem Devanbu, Zhou Yu:
Code to Comment "Translation": Data, Metrics, Baselining & Evaluation. - Pierre Foret, Ariel Kleiner, Hossein Mobahi, Behnam Neyshabur:
Sharpness-Aware Minimization for Efficiently Improving Generalization. - Christoph Lenzen, Ben Wiederhake:
TRIX: Low-Skew Pulse Propagation for Fault-Tolerant Hardware. - Kun Xu, Haochen Tan, Linfeng Song, Han Wu, Haisong Zhang, Linqi Song, Dong Yu:
Semantic Role Labeling Guided Multi-turn Dialogue ReWriter. - Michael J. Kurtz, Roman Chyla:
Second Order Operators in the NASA Astrophysics Data System. - Sepehr Assadi, Thomas Kesselheim, Sahil Singla:
Improved Truthful Mechanisms for Subadditive Combinatorial Auctions: Breaking the Logarithmic Barrier. - Satyajit Tourani, Dhagash Desai, Udit Singh Parihar, Sourav Garg, Ravi Kiran Sarvadevabhatla, K. Madhava Krishna:
Early Bird: Loop Closures from Opposing Viewpoints for Perceptually-Aliased Indoor Environments. - Yael Hitron, Cameron Musco, Merav Parter:
Spiking Neural Networks Through the Lens of Streaming Algorithms. - Yi Wei, Zhe Gan, Wenbo Li, Siwei Lyu, Ming-Ching Chang, Lei Zhang, Jianfeng Gao, Pengchuan Zhang:
MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network. - Rinor Hajrizi, Krenare Pireva Nuçi:
Aspect-Based Sentiment Analysis in Education Domain. - Alexey Zakharov, Matthew Crosby, Zafeirios Fountas:
Episodic Memory for Learning Subjective-Timescale Models. - Jianxiong Guo, Xingjian Ding, Weili Wu:
A Double Auction for Charging Scheduling among Vehicles Using DAG-Blockchains. - Arya Tanmay Gupta:
Burning Geometric Graphs. - Utkarsh Sarawgi, Wazeer Zulfikar, Rishab Khincha, Pattie Maes:
Uncertainty-Aware Multi-Modal Ensembling for Severity Prediction of Alzheimer's Dementia. - Shiquan Yang, Rui Zhang, Sarah M. Erfani:
GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems. - Jun-Kun Wang, Jacob D. Abernethy:
Quickly Finding a Benign Region via Heavy Ball Momentum in Non-Convex Optimization. - Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao:
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization. - Wai-Tsun Yeung, Xiaohao Cai, Zizhen Liang, Byung-Ho Kang:
3D Orientation Field Transform. - Navonil Majumder, Pengfei Hong, Shanshan Peng, Jiankun Lu, Deepanway Ghosal, Alexander F. Gelbukh, Rada Mihalcea, Soujanya Poria:
MIME: MIMicking Emotions for Empathetic Response Generation. - Arun Ganesh, Jiazheng Zhao:
Privately Answering Counting Queries with Generalized Gaussian Mechanisms. - Jinchao Xu:
The Finite Neuron Method and Convergence Analysis. - Vaggos Chatziafratis, Neha Gupta, Euiwoong Lee:
Inapproximability for Local Correlation Clustering and Dissimilarity Hierarchical Clustering. - Tatyana Sorokina, Shangyou Zhang:
An interpolated Galerkin finite element method for the Poisson equation. - Yuncong Li, Cunxiang Yin, Sheng-hua Zhong:
Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks. - Dimitar Nikolov, Alessandro Flammini, Filippo Menczer:
Right and left, partisanship predicts vulnerability to misinformation. - Sandipan Banerjee, Ajjen Joshi, Prashant Mahajan, Sneha Bhattacharya, Survi Kyal, Taniya Mishra:
LEGAN: Disentangled Manipulation of Directional Lighting and Facial Expressions by Leveraging Human Perceptual Judgements. - Hongming Li, Yong Fan:
MDReg-Net: Multi-resolution diffeomorphic image registration using fully convolutional networks with deep self-supervision. - Lequn Wang, Thorsten Joachims:
Fairness and Diversity for Rankings in Two-Sided Markets. - Conghao Zhou, Wen Wu, Hongli He, Peng Yang, Feng Lyu, Nan Cheng, Xuemin Shen:
Deep Reinforcement Learning for Delay-Oriented IoT Task Scheduling in Space-Air-Ground Integrated Network. - Pavel Tolmachev, Jonathan H. Manton:
New Insights on Learning Rules for Hopfield Networks: Memory and Objective Function Minimisation. - Mahyar Khayatkhoei, Ahmed Elgammal:
Spatial Frequency Bias in Convolutional Generative Adversarial Networks. - Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Jiancheng Lv, Nan Duan, Ming Zhou:
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space. - Zhi-Gang Jia, Zi-Jin Qiu, Mei-Xiang Zhao:
Generalized Two-Dimensional Quaternion Principal Component Analysis with Weighting for Color Image Recognition. - Shruthi Chari, Oshani Seneviratne, Daniel M. Gruen, Morgan A. Foreman, Amar K. Das, Deborah L. McGuinness:
Explanation Ontology in Action: A Clinical Use-Case. - Shruthi Chari, Oshani Seneviratne, Daniel M. Gruen, Morgan A. Foreman, Amar K. Das, Deborah L. McGuinness:
Explanation Ontology: A Model of Explanations for User-Centered AI. - Junyi Li, Siqing Li, Wayne Xin Zhao, Gaole He, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network. - Haim Bar, HaiYing Wang:
Reproducible Science with LaTeX. - Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi:
Paragraph-Level Commonsense Transformers with Recurrent Memory. - Sai Raam Venkatraman, Ankit Anand, S. Balasubramanian, R. Raghunatha Sarma:
Learning Compositional Structures for Deep Learning: Why Routing-by-agreement is Necessary. - Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie:
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. - Yifan Gao, Piji Li, Wei Bi, Xiaojiang Liu, Michael R. Lyu, Irwin King:
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning. - Oana-Maria Camburu:
Explaining Deep Neural Networks. - Shehroze Farooqi, Álvaro Feal, Tobias Lauinger, Damon McCoy, Zubair Shafiq, Narseo Vallina-Rodriguez:
Understanding Incentivized Mobile App Installs on Google Play Store. - Silvia Liberata Ullo, Amrita Mohan, Alessandro Sebastianelli, Shaik Ejaz Ahamed, Basant Kumar, Ramji Dwivedi, Ganesh Ram Sinha:
A New Mask R-CNN Based Method for Improved Landslide Detection. - Arash Sadeghzadeh, Bardia Sharif, Roland Tóth:
Affine Linear Parameter-Varying Embedding of Nonlinear Models with Improved Accuracy and Minimal Overbounding. - Qi Jia, Yizhu Liu, Siyu Ren, Kenny Q. Zhu, Haifeng Tang:
Multi-turn Response Selection using Dialogue Dependency Relations. - Merav Parter:
Distributed Constructions of Dual-Failure Fault-Tolerant Distance Preservers. - Yingpeng Deng, Lina J. Karam:
A Study for Universal Adversarial Attacks on Texture Recognition. - Chen Zhang, Qiuchi Li, Dawei Song, Benyou Wang:
A Multi-task Learning Framework for Opinion Triplet Extraction. - Appalabathula Venkatesh, Shankar Nalinakshan, S. S. Kiran, Pradeepa H:
Energy transmission control for a Grid-connected modern power system Non-Linear loads with a Series Multi-Stage Transformer Voltage Reinjection with controlled converters. - Fengmei Jin, Wen Hua, Thomas Zhou, Jiajie Xu, Matteo Francia, Maria E. Orlowska, Xiaofang Zhou:
Trajectory-Based Spatiotemporal Entity Linking. - Valentina Breschi, Manas Mejari:
Shrinkage Strategies for Structure Selection and Identification of Piecewise Affine Models. - Shibli Nisar, Syed Muhammad Ali Zuhaib, Abasin Ulasyar, Muhammad Tariq:
A Privacy Preserved and Cost Efficient Control Scheme for Coronavirus Outbreak Using Call Data Record and Contact Tracing. - Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang:
RODE: Learning Roles to Decompose Multi-Agent Tasks. - Ofer M. Shir, Xi Xing, Herschel Rabitz:
Multi-Level Evolution Strategies for High-Resolution Black-Box Control. - Sahil Shah, Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi:
NLP Service APIs and Models for Efficient Registration of New Clients. - Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell:
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting. - Wenjuan Han, Yong Jiang, Hwee Tou Ng, Kewei Tu:
A Survey of Unsupervised Dependency Parsing. - J. J. Álvarez-Sánchez, Manuel Gadella, L. P. Lara:
A discussion on the approximate solutions of first order systems of non-linear ordinary equations. - Dmitry M. Kochetkov, Aliaksandr Birukou, Anna Ermolayeva:
The Importance of Conference Proceedings in Research Evaluation: a Methodology for Assessing Conference Impact. - Ludovic Anthony Richard Capelli, Nick Brown, Jonathan Mark Bull:
iPregel: Strategies to Deal with an Extreme Form of Irregularity in Vertex-Centric Graph Processing. - Gordon Gibb, Rupert Nash, Nick Brown, Bianca Prodan:
The Technologies Required for Fusing HPC and Real-Time Data to Support Urgent Computing. - Faria Huq, Masum Hasan, Mahim Anzum Haque Pantho, Sazan Mahbub, Anindya Iqbal, Toufique Ahmed:
Review4Repair: Code Review Aided Automatic Program Repairing. - Nick Brown:
Exploring the acceleration of the Met Office NERC Cloud model using FPGAs. - Shmulik Markovich-Golan, Barak Battach, Amit Bleiweiss:
Feature Whitening via Gradient Transformation for Improved Convergence. - Nick Brown, David Dolman:
It's all about data movement: Optimising FPGA data access to boost performance. - Maurice Jamieson, Nick Brown:
High level programming abstractions for leveraging hierarchical memories with micro-core architectures. - Faria Huq, Anindya Iqbal, Nafees Ahmed:
Holistic static and animated 3D scene generation from diverse text descriptions. - Ali Caner Türkmen, Tim Januschowski, Yuyang Wang, Ali Taylan Cemgil:
Intermittent Demand Forecasting with Renewal Processes. - Sina Ahmadi, Hossein Hassani, Daban Q. Jaff:
Leveraging Multilingual News Websites for Building a Kurdish Parallel Corpus. - Qianying Liu, Wenyu Guan, Sujian Li, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi:
Reverse Operation based Data Augmentation for Solving Math Word Problems. - Pablo V. A. Barros, Alessandra Sciutti:
The FaceChannelS: Strike of the Sequences for the AffWild 2 Challenge. - Michael J. Lyons:
Facial gesture interfaces for expression and communication. - Bill Verplank, Craig Sapp, Max V. Mathews:
A Course on Controllers. - David Wessel, Matthew Wright:
Problems and Prospects for Intimate Musical Control of Computers. - Nicola Orio, Norbert Schnell, Marcelo M. Wanderley:
Input Devices for Musical Expression: Borrowing Tools from HCI. - Camille Goudeseune, Guy E. Garnett, Timothy Johnson:
Resonant Processing of Instrumental Sound Controlled by Spatial Position. - Michael Gurevich, Stephan von Muehlen:
The Accordiatron: A MIDI Controller For Interactive Music. - Joseph A. Paradiso, Kai-yuh Hsiao, Ari Y. Benbasat:
Tangible Music Interfaces Using Passive Magnetic Tags. - Kenji Mase, Tomoko Yonezawa:
Body, Clothes, Water, and Toys: Media Towards Natural Music Expressions with Digital Sounds. - Dan Overholt:
The MATRIX: A Novel Controller for Musical Expression. - Gideon D'Arcangelo:
Creating Contexts of Creativity: Musical Composition with Modular Components. - Sergi Jordà:
New Musical Interfaces and New Music-making Paradigms. - Salvatore Saeli, Federica Bisio, Pierangelo Lombardo, Danilo Massa:
DNS Covert Channel Detection via Behavioral Analysis: a Machine Learning Approach. - Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf:
Mining and modeling complex leadership-followership dynamics of movement data. - Lima Agnel Tony, Shuvrangshu Jana, Varun V. P., Vidyadhara B. V, Mohitvishnu S. Gadde, Abhishek Kashyap, Rahul Ravichandran, Debasish Ghose:
Collaborative Tracking and Capture of Aerial Object using UAVs. - Rooji Jinan, Ajay Badita, Pradeep Kiran Sarvepalli, Parimal Parag:
Latency optimal storage and scheduling of replicated fragments for memory-constrained servers. - Ali Khodabakhsh:
Unknown Presentation Attack Detection against Rational Attackers. - Yang Jiao, Kai Yang, Shaoyu Dou, Pan Luo, Sijia Liu, Dongjin Song:
TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series. - Lara Kassab, Alona Kryshchenko, Hanbaek Lyu, Denali Molitor, Deanna Needell, Elizaveta Rebrova:
On Nonnegative Matrix and Tensor Decompositions for COVID-19 Twitter Dynamics. - Wenqiang Xiao, Jiguang Sun:
A Novel Computational Method for Band Structures of Dispersive Photonic Crystals. - Qinghua Liu, Tiancheng Yu, Yu Bai, Chi Jin:
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play. - Wenjuan Han, Liwen Zhang, Yong Jiang, Kewei Tu:
Adversarial Attack and Defense of Structured Prediction Models. - Liubov Nikolenko, Pouya Rezazadeh Kalehbasti:
When in Doubt, Ask: Generating Answerable and Unanswerable Questions, Unsupervised. - Uttaran Bhattacharya, Nicholas Rewkowski, Pooja Guhan, Niall L. Williams, Trisha Mittal, Aniket Bera, Dinesh Manocha:
Generating Emotive Gaits for Virtual Agents Using Affect-Based Autoregression. - Jun-Kun Wang, Jacob D. Abernethy:
Provable Acceleration of Neural Net Training via Polyak's Momentum. - Cheng Zhang, Jie Wang:
Meta Sequence Learning and Its Applications. - Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney:
Deep Just-In-Time Inconsistency Detection Between Comments and Source Code. - Dorit S. Hochbaum, Xu Rao:
A Fully Polynomial Time Approximation Scheme for the Replenishment Storage Problem. - Li Wang, Lei-Hong Zhang, Chungen Shen, Ren-Cang Li:
Orthogonal Multi-view Analysis by Successive Approximations via Eigenvectors. - Kai Wan, Hua Sun, Mingyue Ji, Giuseppe Caire:
On the Tradeoff Between Computation and Communication Costs for Distributed Linearly Separable Computation. - Jun-Kun Wang, Jacob D. Abernethy:
Understanding How Over-Parametrization Leads to Acceleration: A case of learning a single teacher neuron. - Frédéric Rousset, Katharina Schratz:
A general framework of low regularity integrators. - Avrim Blum, Yishay Mansour:
Kidney exchange and endless paths: On the optimal use of an altruistic donor. - Dietmar Gallistl, Timo Sprekeler, Endre Süli:
Mixed finite element approximation of periodic Hamilton-Jacobi-Bellman problems with application to numerical homogenization. - Christof Henkel, Philipp Singer:
Supporting large-scale image recognition with out-of-domain samples. - Huyen N. Nguyen, Vinh T. Nguyen, Tommy Dang:
Interface Design for HCI Classroom: From Learners' Perspective. - Honghao Wei, Lei Ying:
FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning. - Ilias Chalkidis, Manos Fergadiotis, Sotiris Kotitsas, Prodromos Malakasiotis, Nikolaos Aletras, Ion Androutsopoulos:
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels. - Wei-Jen Ko, Te-Yuan Chen, Yiyan Huang, Greg Durrett, Junyi Jessy Li:
Inquisitive Question Generation for High Level Text Comprehension. - Wei-Jen Ko, Avik Ray, Yilin Shen, Hongxia Jin:
Generating Dialogue Responses from a Semantic Latent Space. - Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou:
Data-efficient Online Classification with Siamese Networks and Active Learning. - Zhilong Chen, Hancheng Cao, Yuting Deng, Xuan Gao, Jinghua Piao, Fengli Xu, Yu Zhang, Yong Li:
A Large-Scale Mixed-Methods Analysis of Live Streaming Based Remote Education Experience in Chinese Colleges During the COVID-19 Pandemic. - Usman Sajid, Wenchi Ma, Guanghui Wang:
Multi-Resolution Fusion and Multi-scale Input Priors Based Crowd Counting. - Aashish Kumar Misraa, Ajinkya Kale, Pranav Aggarwal, Ali Aminian:
Multi-Modal Retrieval using Graph Neural Networks. - Luyu Gao, Xinyi Wang, Graham Neubig:
Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation. - Peter Blacker, Christopher Paul Bridges, Simon Hadfield:
Diagonal Memory Optimisation for Machine Learning on Micro-controllers. - Xinyuan Zhang:
Mixing Strategies in Cryptocurrencies and An Alternative Implementation. - Jiaao Chen, Diyi Yang:
Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization. - Faraz Khadivpour, Matthew Guzdial:
Explainability via Responsibility. - Jiaao Chen, Zhenghui Wang, Ran Tian, Zichao Yang, Diyi Yang:
Local Additivity Based Data Augmentation for Semi-supervised NER. - Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett:
Optimal Neural Program Synthesis from Multimodal Specifications. - Mallikarjun B. R., Ayush Tewari, Hans-Peter Seidel, Mohamed Elgharib, Christian Theobalt:
Learning Complete 3D Morphable Face Models from Images and Videos. - Junghoon Kim, Bruno Clerckx:
Range Expansion for Wireless Power Transfer: A Joint Beamforming and Waveform Architecture. - Adrián González-Casillas, Matthew Guzdial, Félix Ramos:
Generating Gameplay-Relevant Art Assets with Transfer Learning. - Wenlin Yao, Cheng Zhang, Shiva Saravanan, Ruihong Huang, Ali Mostafavi:
Weakly-supervised Fine-grained Event Recognition on Social Media Texts for Disaster Management. - Ayed M. Alrashdi:
Large System Analysis of Box-Relaxation in Correlated Massive MIMO Channels Under Imperfect CSI. - Nazanin Yousefzadeh Khameneh, Matthew Guzdial:
Entity Embedding as Game Representation. - Oluwatobi O. Olabiyi, Prarthana Bhattarai, C. Bayan Bruss, Zachary Kulis:
DLGNet-Task: An End-to-end Neural Network Framework for Modeling Multi-turn Multi-domain Task-Oriented Dialogue. - Stephane Aroca-Ouellette, Frank Rudzicz:
On Losses for Modern Language Models. - Marius Schubert, Karsten Kahl, Matthias Rottmann:
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection. - Breanna Devore-McDonald, Emery D. Berger:
Mossad: Defeating Software Plagiarism Detection. - Shantanu Shahane, Anand Radhakrishnan, Surya Pratap Vanka:
A High-Order Accurate Meshless Method for Solution of Incompressible Fluid Flow Problems. - Zhong-Qiu Wang, Peidong Wang, DeLiang Wang:
Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speaker Separation. - Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
A Polynomial Time Algorithm for Learning Halfspaces with Tsybakov Noise. - Bo Peng, Jiayu Li, Selahattin Akkas, Fugang Wang, Takuya Araki, Ohno Yoshiyuki, Judy Qiu:
Rank Position Forecasting in Car Racing. - William S. Moses, Valentin Churavy:
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients. - Nan Li, Anouck Girard, Ilya V. Kolmanovsky:
Chance-Constrained Controller State and Reference Governor. - Shiva Navabi, Osonde A. Osoba:
A Generative Machine Learning Approach to Policy Optimization in Pursuit-Evasion Games. - Gueltoum Bendiab, Stavros Shiaeles, Abdulrahman Alruban, Nicholas Kolokotronis:
IoT Malware Network Traffic Classification using Visual Representation and Deep Learning. - Anshuman Mishra, Dhruvesh Patel, Aparna Vijayakumar, Xiang Li, Pavan Kapanipathi, Kartik Talamadupula:
Reading Comprehension as Natural Language Inference: A Semantic Analysis. - Nader Akoury, Shufan Wang, Josh Whiting, Stephen Hood, Nanyun Peng, Mohit Iyyer:
STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation. - Mushu Li, Jie Gao, Lian Zhao, Xuemin Shen:
Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks. - Donald Pinckney, Arjun Guha, Yuriy Brun:
Wasm/k: Delimited Continuations for WebAssembly. - John X. Morris, Jin Yong Yoo, Yanjun Qi:
TextAttack: Lessons learned in designing Python frameworks for NLP. - Moshiur R. Farazi, Salman H. Khan, Nick Barnes:
Attention Guided Semantic Relationship Parsing for Visual Question Answering. - Youngeun Kim, Priyadarshini Panda:
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch. - (Withdrawn) Facebook Political Ads And Accountability: Outside Groups Are Most Negative, Especially When Microtargeting Or Hiding Donors.
- Max Revay, Ruigang Wang, Ian R. Manchester:
Lipschitz Bounded Equilibrium Networks. - Lu Zhang, Mo Yu, Tian Gao, Yue Yu:
MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning. - Jingfeng Zhang, Jianing Zhu, Gang Niu, Bo Han, Masashi Sugiyama, Mohan S. Kankanhalli:
Geometry-aware Instance-reweighted Adversarial Training. - Yinghao Li, Rui Feng, Isaac Rehg, Chao Zhang:
Transformer-Based Neural Text Generation with Syntactic Guidance. - Thuy-Trang Vu, Dinh Phung, Gholamreza Haffari:
Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models. - Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu:
Learning by Minimizing the Sum of Ranked Range. - Diego Ramirez-Echavarria, Antonis Bikakis, Luke Dickens, Rob Miller, Andreas Vlachidis:
On the Effects of Knowledge-Augmented Data in Word Embeddings. - Hossein Noorazar, Anurag K. Srivastava, K. Sadanandan Sajan, Sanjeev Pannala:
Data-driven Operation of the Resilient Electric Grid: A Case of COVID-19. - Jingkang Wang, Hongyi Guo, Zhaowei Zhu, Yang Liu:
Policy Learning Using Weak Supervision. - Rodrigo Toro Icarte, Richard Anthony Valenzano, Toryn Q. Klassen, Phillip J. K. Christoffersen, Amir-massoud Farahmand, Sheila A. McIlraith:
The act of remembering: a study in partially observable reinforcement learning. - Marina Haliem, Ganapathy Mani, Vaneet Aggarwal, Bharat K. Bhargava:
A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching using Deep Reinforcement Learning. - Fathi Mahdi Elsiddig Haroun, Siti Noratiqah Mohamad Deros, Norashidah Md Din:
A Review of Vegetation Encroachment Detection in Power Transmission Lines using Optical Sensing Satellite Imagery. - Yufan Zhou, Changyou Chen, Jinhui Xu:
Learning Manifold Implicitly via Explicit Heat-Kernel Learning. - Zejiang Shen, Jian Zhao, Melissa Dell, Yaoliang Yu, Weining Li:
OLALA: Object-Level Active Learning Based Layout Annotation. - Shayne Longpre, Yu Wang, Christopher DuBois:
How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers? - Ruizhi Liao, Daniel Moyer, Polina Golland, William M. Wells III:
DEMI: Discriminative Estimator of Mutual Information. - Riadul Islam, Biprangshu Saha, Ignatius Bezzam:
Resonant Energy Recycling SRAM Architecture. - John X. Morris