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ORCIDCoRR, June 2020
- Karine Miras, Eliseo Ferrante, A. E. Eiben:
Environmental regulation using Plasticoding for the evolution of robots. - Thomas Weng, Amith Pallankize, Yimin Tang, Oliver Kroemer, David Held:
Multi-modal Transfer Learning for Grasping Transparent and Specular Objects. - Onel L. Alcaraz López, Nurul Huda Mahmood, Hirley Alves
, Matti Latva-aho:
CSI-free vs CSI-based multi-antenna WET schemes for massive low-power Internet of Things. - Nikolay Arefyev, Boris Sheludko, Alexander Podolskiy, Alexander Panchenko:
A Comparative Study of Lexical Substitution Approaches based on Neural Language Models. - David Kent, Sonia Chernova:
Human-Centric Active Perception for Autonomous Observation. - Haw-minn Lu:
Quasi-orthonormal Encoding for Machine Learning Applications. - Marina Groshaus, André Luiz Pires Guedes:
Biclique Graphs of K3-free Graphs and Bipartite Graphs. - Vuk Lesi, Zivana Jakovljevic, Miroslav Pajic:
Security Analysis for Distributed IoT-Based Industrial Automation. - Khuong An Nguyen, Zhiyuan Luo, Chris Watkins:
Epidemic contact tracing with smartphone sensors. - Ivan Kovynyov, Axel Buerck, Ralf Mikut:
Design of Transformation Initiatives Implementing Organisational Agility - An Empirical Study. - Marjan Hosseinia, Eduard C. Dragut, Arjun Mukherjee:
Stance Prediction for Contemporary Issues: Data and Experiments. - Riccardo Giubilato, Andrea Masili, Sebastiano Chiodini, Marco Pertile, Stefano Debei:
Simulation Framework for Mobile Robots in Planetary-Like Environments. - Christopher A. George, Eduardo A. Barrera, Kenric P. Nelson:
Applying the Decisiveness and Robustness Metrics to Convolutional Neural Networks. - Vasiliki Kondyli, Mehul Bhatt, Jakob Suchan:
Towards a Human-Centred Cognitive Model of Visuospatial Complexity in Everyday Driving. - Ranendu Adhikary, Kaustav Bose, Satwik Mukherjee, Bodhayan Roy:
Complexity of Maximum Cut on Interval Graphs. - Nishanth Thumbavanam Arun, Nathan Gaw, Praveer Singh, Ken Chang, Katharina Viktoria Hoebel, Jay B. Patel, Mishka Gidwani, Jayashree Kalpathy-Cramer:
Assessing the validity of saliency maps for abnormality localization in medical imaging. - Scott Schneider, Xavier Guerin, Shaohan Hu, Kun-Lung Wu:
A Cloud Native Platform for Stateful Streaming. - Brian D. Leahy, Won-Dong Jang, Helen Y. Yang, Robbert Struyven, Donglai Wei, Zhe Sun, Kylie R. Lee, Charlotte Royston, Liz Cam, Yael Kalma, Foad Azem, Dalit Ben-Yosef, Hanspeter Pfister, Daniel Needleman:
Automated Measurements of Key Morphological Features of Human Embryos for IVF. - Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva, Alex Alvarado:
Refined Reliability Combining for Binary Message Passing Decoding of Product Codes. - Zhengyang Wang, Xia Hu, Shuiwang Ji:
iCapsNets: Towards Interpretable Capsule Networks for Text Classification. - Zhuojia Shen, John Criswell:
Fast Execute-Only Memory for Embedded Systems. - Lu Zhang, Siyang Wang, N. Anders Petersson:
Elastic wave propagation in curvilinear coordinates with mesh refinement interfaces by a fourth order finite difference method. - Chenglong Ye, Jie Ding, Reza Ghanadan:
Meta Clustering for Collaborative Learning. - Filip Ilievski, Daniel Garijo, Hans Chalupsky, Naren Teja Divvala, Yixiang Yao, Craig Milo Rogers, Ronpeng Li, Jun Liu, Amandeep Singh, Daniel Schwabe, Pedro A. Szekely:
KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysis. - Marianne Rakic, John V. Guttag, Adrian V. Dalca:
Anatomical Predictions using Subject-Specific Medical Data. - Giulia Vilone, Luca Longo:
Explainable Artificial Intelligence: a Systematic Review. - Sudhanshu Chanpuriya, Cameron Musco:
InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a Nonlinearity. - Liang Wang, Hyojoon Kim, Prateek Mittal, Jennifer Rexford:
Programmable In-Network Obfuscation of Traffic. - Nina Pardal:
Structural characterization of some problems on circle and interval graphs. - Sharmishtaa Seshamani, Leila Elabbady, Casey Schneider-Mizell, Gayathri Mahalingam, Sven Dorkenwald, Agnes Bodor, Thomas Macrina, Daniel Bumbarger, JoAnn Buchanan, Marc Takeno, Wenjing Yin, Derrick Brittain, Russel Torres, Daniel Kapner, Kisuk Lee, Ran Lu, Jingpeng Wu, Nuno daCosta, R. Clay Reid, Forrest Collman:
Automated Neuron Shape Analysis from Electron Microscopy. - Derek Onken, Samy Wu Fung, Xingjian Li, Lars Ruthotto:
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport. - Abdelaziz Lakhfif, Mohamed Tayeb Laskri:
A frame semantics based approach to comparative study of digitized corpus. - Abdelaziz Lakhfif:
Design and Implementation of a Virtual 3D Educational Environment to improve Deaf Education. - Nofar Carmeli, Xiaolan Wang, Yoshihiko Suhara, Stefanos Angelidis, Yuliang Li, Jinfeng Li, Wang-Chiew Tan:
ExplainIt: Explainable Review Summarization with Opinion Causality Graphs. - Shahriar Talebi, Siavash Alemzadeh, Niyousha Rahimi, Mehran Mesbahi:
Online Regulation of Unstable LTI Systems from a Single Trajectory. - Areej Alokaili, Nikolaos Aletras, Mark Stevenson:
Automatic Generation of Topic Labels. - María P. Raveau, Juan P. Couyoumdjian, Claudio Fuentes Bravo, Carlos Rodríguez-Sickert, Cristian Candia:
Citizens at the forefront of the constitutional debate: Participation determinants and emergent content in Chile. - Wei Chen, Jian Sun, Weishuo Li, Dapeng Zhao:
A real-time multi-constraints obstacle avoidance method based on LiDAR. - Jun Yu, Mengyan Li, Xinlong Hao, Guochen Xie:
Deep Fusion Siamese Network for Automatic Kinship Verification. - Xue Li, Yuanzhi Cheng:
Understanding the Message Passing in Graph Neural Networks via Power Iteration. - Pengyuan Li, Lei Huang, Guang-Jie Ren:
Topic Detection and Summarization of User Reviews. - Min Qiu, Yu-Chih Huang, Jinhong Yuan:
Discrete Signaling and Treating Interference as Noise for the Gaussian Interference Channel. - Hiroshi Hirai, Ryuhei Mizutani:
Minimum 0-Extension Problems on Directed Metrics. - Zhipeng Luo, Zhiguang Zhang, Zhenyu Xu, Lixuan Che:
Challenge report: Recognizing Families In the Wild Data Challenge. - Hantao Yao, Changsheng Xu:
Joint Person Objectness and Repulsion for Person Search. - Bi Liu, Qi Huang, Junbo Zhao, Federico Milano, Yingchen Zhang:
Nonlinear Virtual Inertia Control of WTGs for Enhancing Primary Frequency Response and Suppressing Drive-Train Torsional Oscillations. - Yuqi Gao, Hang Hua, Jiebo Luo:
Tracking Public Opinion in China through Various Stages of the COVID-19 Pandemic. - Ashraf Tantawy, Sherif Abdelwahed, Abdelkarim Erradi:
Cyber LOPA: A New Approach for CPS Safety Design in the Presence of Cyber Attacks. - Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, Susan T. Dumais:
Analyzing and Learning from User Interactions for Search Clarification. - Linda Capito, Keith A. Redmill, Ümit Özgüner:
Optical Flow based Visual Potential Field for Autonomous Driving. - Alexandra Gallyas-Sanhueza, Seyed Hadi Mirfarshbafan, Ramina Ghods, Christoph Studer:
Sparsity-Adaptive Beamspace Channel Estimation for 1-Bit mmWave Massive MIMO Systems. - Jun Yu, Guochen Xie, Mengyan Li, Xinlong Hao:
Retrieval of Family Members Using Siamese Neural Network. - Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, Zsolt Kira:
When2com: Multi-Agent Perception via Communication Graph Grouping. - Akond Rahman, Effat Farhana, Laurie A. Williams:
The 'as Code' Activities: Development Anti-patterns for Infrastructure as Code. - Warut Suksompong:
On the Number of Almost Envy-Free Allocations. - Hu Xu, Seungwhan Moon, Honglei Liu, Bing Liu, Pararth Shah, Bing Liu, Philip S. Yu:
User Memory Reasoning for Conversational Recommendation. - Lipu Zhou, Daniel Koppel, Hui Ju, Frank Steinbrücker, Michael Kaess:
An Efficient Planar Bundle Adjustment Algorithm. - Rishabh Baghel, Ravi Kiran Sarvadevabhatla:
OPAL-Net: A Generative Model for Part-based Object Layout Generation. - Seung-Hyun Nam, Si-Hyeon Lee:
Secrecy Capacity of a Gaussian Wiretap Channel With ADCs is Always Positive. - Parvin Malekzadeh, Mohammad Salimibeni, Arash Mohammadi, Akbar Assa, Konstantinos N. Plataniotis:
MM-KTD: Multiple Model Kalman Temporal Differences for Reinforcement Learning. - Sule Anjomshoae, Kary Främling, Amro Najjar:
Explanations of Black-Box Model Predictions by Contextual Importance and Utility. - Chao Chen, Zhihong Chen, Xinyu Jin, Lanjuan Li, William Speier, Corey W. Arnold:
Attention-Guided Discriminative Region Localization for Bone Age Assessment. - Mostafa Zaman Chowdhury, Moh. Khalid Hasan, Md. Shahjalal, Md. Tanvir Hossan, Yeong Min Jang:
Optical wireless hybrid networks for 5G and beyond communications. - Mostafa Zaman Chowdhury, Moh. Khalid Hasan, Md. Shahjalal, Eun Bi Shin, Yeong Min Jang:
Opportunities of Optical Spectrum for Future Wireless Communications. - Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran, Ruba Priyadharshini, John P. McCrae:
Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text. - Bharathi Raja Chakravarthi, Navya Jose, Shardul Suryawanshi, Elizabeth Sherly, John P. McCrae:
A Sentiment Analysis Dataset for Code-Mixed Malayalam-English. - Julia Novo, Samuele Rubino:
Error analysis of proper orthogonal decomposition stabilized methods for incompressible flows. - Bo Pang, Kaiwen Zha, Hanwen Cao, Jiajun Tang, Minghui Yu, Cewu Lu:
Complex Sequential Understanding through the Awareness of Spatial and Temporal Concepts. - Takafumi Inoue, Shunsuke Inenaga, Hideo Bannai:
Longest Square Subsequence Problem Revisited. - Shanshan Wang, Lei Zhang:
Self-adaptive Re-weighted Adversarial Domain Adaptation. - Fahri Aydos, A. Murat Özbayoglu, Yahya Sirin, M. Fatih Demirci:
Web page classification with Google Image Search results. - Yang Song, Yu Gu, Rui Zhang, Ge Yu:
BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances. - Fan Zhang, MinChao Yan, Chen Hu, Jun Ni, Fei Ma:
Integrating global spatial features in CNN based Hyperspectral/SAR imagery classification. - Rik Eshuis:
Extracting Features From Process Variants in Case Management. - Parvathy Panicker:
Critical pedagogy in the implementation of educational technologies. - Fanghui Liu, Xiaolin Huang, Yingyi Chen, Johan A. K. Suykens:
Generalizing Random Fourier Features via Generalized Measures. - Yuekun Yao, Barry Haddow:
Dynamic Masking for Improved Stability in Spoken Language Translation. - Varun Narayanan, Jithin Ravi, Vivek K. Mishra, Bikash Kumar Dey, Nikhil Karamchandani, Vinod M. Prabhakaran:
Private Index Coding. - Sosuke Nishikawa, Ryokan Ri, Yoshimasa Tsuruoka:
Data Augmentation for Learning Bilingual Word Embeddings with Unsupervised Machine Translation. - Yujie Hu, Joni A. Downs:
Measuring and Visualizing Place-Based Space-Time Job Accessibility. - Jiawei Zhao, Yifan Zhao, Jia Li, Xiaowu Chen:
Is Depth Really Necessary for Salient Object Detection? - Georgios P. Balomenos, Yujie Hu, Jamie E. Padgett, Kyle Shelton:
Impact of Coastal Hazards on Residents Spatial Accessibility to Health Services. - Liuyuan Chen, Kanglei Zhou, Junchang Jing, Haiju Fan, Juntao Li:
Solution Path Algorithm for Twin Multi-class Support Vector Machine. - Dennis J. N. J. Soemers, Éric Piette, Matthew Stephenson, Cameron Browne:
Manipulating the Distributions of Experience used for Self-Play Learning in Expert Iteration. - HyungSeon Oh:
Unit Commitment Considering the Impact of Deep Cycling. - Shi Tingsheng, Ian K. Duncan, Yen-Ning Chang, Michael T. Gastner:
Motivating Good Practices for the Creation of Contiguous Area Cartograms. - Wei Xiao, Christos G. Cassandras, Calin Belta:
Decentralized Optimal Control in Multi-lane Merging for Connected and Automated Vehicles. - Praful D. Mankar, Mohamed A. Abd-Elmagid, Harpreet S. Dhillon:
Spatial Distribution of the Mean Peak Age of Information in Wireless Networks. - Mahsa Taheri, Fang Xie, Johannes Lederer:
Statistical Guarantees for Regularized Neural Networks. - Yixun Xue, Mohammad Shahidehpour, Zhaoguang Pan, Bin Wang, Quan Zhou, Qinglai Guo, Hongbin Sun:
Reconfiguration of District Heating Network for Operational Flexibility Enhancement in Power System Unit Commitment. - Jianqiang Wan, Yang Liu, Donglai Wei, Xiang Bai, Yongchao Xu:
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation. - Shiv Gehlot, Anubha Gupta, Ritu Gupta:
SDCT-AuxNetθ: DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis. - Yue Zhang, David DeFazio, Arti Ramesh:
RelEx: A Model-Agnostic Relational Model Explainer. - Ahmed Raoof, Chung-Horng Lung, Ashraf Matrawy:
Introducing Network Coding to RPL: The Chained Secure Mode (CSM). - Oluwasegun Ayokunle Somefun, Kayode Akingbade, Folasade Mojisola Dahunsi:
"Closed Proportional-Integral-Derivative-Loop Model" Following Control. - Sleiman Safaoui, Lars Lindemann, Dimos V. Dimarogonas, Iman Shames, Tyler H. Summers:
Control Design for Risk-Based Signal Temporal Logic Specifications. - Gustavo Mendes Platt, Fran Sérgio Lobato, Gustavo Barbosa Libotte, Francisco Duarte Moura Neto:
Basins of attraction and critical curves for Newton-type methods in a phase equilibrium problem. - Francisco Castillo-Zunino, Pinar Keskinocak:
Bi-Criteria Multiple Knapsack Problem with Grouped Items. - Ioannis Krikidis:
Wireless Power Transfer Under Kullback-Leibler Distribution Uncertainty: A Mathematical Framework. - Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft:
Rethinking Assumptions in Deep Anomaly Detection. - MohammadReza Tavakoli, Maliheh Izadi, Abbas Heydarnoori:
Improving Quality of a Post's Set of Answers in Stack Overflow. - Hemant Kumar Mehta, Paul Harvey, Omer F. Rana, Rajkumar Buyya, Blesson Varghese:
WattsApp: Power-Aware Container Scheduling. - Derek Xiao, Linfang Wang, Richard D. Wesel:
Finite-Support Capacity-Approaching Distributions for AWGN Channels. - Eftychios Protopapadakis, Anastasios D. Doulamis, Nikolaos Doulamis, Evangelos Maltezos:
Semi-Supervised Fine-Tuning for Deep Learning Models in Remote Sensing Applications. - Enrique Orduña-Malea:
Crossing the Academic Ocean? Judit Bar-Ilan's Oeuvre on Search Engines studies. - Enrique Orduña-Malea, Selenay Aytac, Clara Y. Tran:
Universities through the Eyes of Bibliographic Databases: A Retroactive Growth Comparison of Google Scholar, Scopus and Web of Science. - Pantelimon Stanica, Aaron Geary:
The c-differential behavior of the inverse function under the EA-equivalence. - Davood Karimi, Simon K. Warfield, Ali Gholipour:
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks. - Riya Jain, Niraj N. Sharma, Farhad Merchant, Sachin B. Patkar, Rainer Leupers:
CLARINET: A RISC-V Based Framework for Posit Arithmetic Empiricism. - MohammadReza Tavakoli, Ali Faraji, Stefan T. Mol, Gábor Kismihók:
OER Recommendations to Support Career Development. - Olasimbo Ayodeji Arigbabu:
Entropy Decision Fusion for Smartphone Sensor based Human Activity Recognition. - Sabah Al-Fedaghi, Jassim Al-Fadhli:
Thinging-Oriented Modeling of Unmanned Aerial Vehicles. - Nava Haghighi, Nathalie Vladis, Yuanbo Liu, Arvind Satyanarayan:
The Effectiveness of Haptic Properties Under Cognitive Load: An Exploratory Study. - Yifei Huang:
Situation Awareness and Information Fusion in Sales and Customer Engagement: A Paradigm Shift. - Jonas C. Kiemel, Robin Weitemeyer, Pascal Meißner, Torsten Kröger:
TrueAdapt: Learning Smooth Online Trajectory Adaptation with Bounded Jerk, Acceleration and Velocity in Joint Space. - Peter Manohar, Jalani Williams:
Lower Bounds for Caching with Delayed Hits. - Tovly Deutsch, Masoud Jasbi, Stuart M. Shieber:
Linguistic Features for Readability Assessment. - Boris Teabe, Peterson Yuhala, Alain Tchana, Fabien Hermenier, Daniel Hagimont, Gilles Muller:
Memory virtualization in virtualized systems: segmentation is better than paging. - Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan, Thomas Zimmermann, Ahmed Hassan Awadallah:
An Empirical Study of Software Exceptions in the Field using Search Logs. - Susanne Albers, Maximilian Janke:
Scheduling in the Random-Order Model. - Zheng Xu, Ali Shafahi, Tom Goldstein:
Exploring Model Robustness with Adaptive Networks and Improved Adversarial Training. - Sourav Mondal, Goutam Das, Elaine Wong:
Centralized and Decentralized Non-Cooperative Load-Balancing Games among Competing Cloudlets. - Zhifeng Kong, Kamalika Chaudhuri:
The Expressive Power of a Class of Normalizing Flow Models. - Hongyuan You, Furkan Kocayusufoglu, Ambuj K. Singh:
DANR: Discrepancy-aware Network Regularization. - Zhu Wang, Anat V. Lubetzky, Charles Hendee, Marta Gospodarek, Ken Perlin:
A Virtual Obstacle Course within Diverse Sensory Environments. - Hantao Yao, Shaobo Min, Yongdong Zhang, Changsheng Xu:
Attribute-Induced Bias Eliminating for Transductive Zero-Shot Learning. - Ankit Goel, Abdulazeez Mohammed Salim, Ahmad Ansari, Sai Ravela, Dennis S. Bernstein:
Adaptive Digital PID Control of a Quadcopter with Unknown Dynamics. - Jeiyoon Park, Chanhee Lee, Kuekyeng Kim, Heuiseok Lim:
Variational Reward Estimator Bottleneck: Learning Robust Reward Estimator for Multi-Domain Task-Oriented Dialog. - Julia White, Jesse Mu, Noah D. Goodman:
Learning to refer informatively by amortizing pragmatic reasoning. - Yanjun Cao, Giovanni Beltrame:
VIR-SLAM: Visual, Inertial, and Ranging SLAM for single and multi-robot systems. - Nil-Jana Akpinar, Aaditya Ramdas, Umut A. Acar:
Analyzing Student Strategies In Blended Courses Using Clickstream Data. - Deepak Singla, Vivek Mohan, Tarun Pulluri, Andrés Ussa, Bharath Ramesh, Arindam Basu:
EBBINNOT: A Hardware Efficient Hybrid Event-Frame Tracker for Stationary Neuromorphic Vision Sensors. - Liang Liu, Xiaopeng Luo:
A New Accelerated Stochastic Gradient Method with Momentum. - Jae Sung Park, Dinesh Manocha:
HMPO: Human Motion Prediction in Occluded Environments for Safe Motion Planning. - Song-Bo Yang, Tian-Li Yu:
Pseudo-Representation Labeling Semi-Supervised Learning. - Abhishek Gupta, Tania De Gasperis:
Participatory Design to build better contact- and proximity-tracing apps. - Georgios Katsouleas, Efthymios N. Karatzas, Aikaterini Aretaki:
Equal higher order analysis of an unfitted discontinuous Galerkin method for Stokes flow systems. - Feifan Lv, Bo Liu, Feng Lu:
Fast Enhancement for Non-Uniform Illumination Images using Light-weight CNNs. - Qinggang Zhou, Yawen Zhang, Pengcheng Li, Xiaoyong Liu, Jun Yang, Runsheng Wang, Ru Huang:
DaSGD: Squeezing SGD Parallelization Performance in Distributed Training Using Delayed Averaging. - Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh:
Evaluations and Methods for Explanation through Robustness Analysis. - Xueqi Yang, Jianfeng Chen, Rahul Yedida, Zhe Yu, Tim Menzies:
How to Recognize Actionable Static Code Warnings (Using Linear SVMs). - Ehsan Haghighat, Ali Can Bekar, Erdogan Madenci, Ruben Juanes:
A nonlocal physics-informed deep learning framework using the peridynamic differential operator. - Igor Molybog, Javad Lavaei:
Global Convergence of MAML for LQR. - Weijun Fang, Shu-Tao Xia, Fang-Wei Fu:
Construction of MDS Euclidean Self-Dual Codes via Two Subsets. - Hichem Rahab, Abdelhafid Zitouni, Mahieddine Djoudi:
SANA : Sentiment Analysis on Newspapers comments in Algeria. - Eliav Buchnik, Edith Cohen:
Graph Learning with Loss-Guided Training. - Pin Tang, Pinli Yang, Yuang Shi, Yi Zhou, Feng Lin, Yan Wang:
Recognizing Chinese Judicial Named Entity using BiLSTM-CRF. - Girma Negashe, Adane Letta Mamuye:
Modified Segmentation Algorithm for Recognition of Older Geez Scripts Written on Vellum. - Yura Zharkovsky, Ovadya Menadeva:
End-to-End Change Detection for High Resolution Drone Images with GAN Architecture. - Jingtao Guo, Yi Liu, Zhenzhen Qian, Zuowei Zhou:
Exemplar-based Generative Facial Editing. - Dana Weitzner, David Mendlovic, Raja Giryes:
Face Authentication from Grayscale Coded Light Field. - Siddharth Barman, Nidhi Rathi:
Fair Cake Division Under Monotone Likelihood Ratios. - Erwin de Gelder, Jeroen Manders, Corrado Grappiolo, Jan-Pieter Paardekooper, Olaf Op den Camp, Bart De Schutter:
Real-World Scenario Mining for the Assessment of Automated Vehicles. - Lu Xia, Martijn Anthonissen, Michiel E. Hochstenbach, Barry Koren:
Improved stochastic rounding. - Brenda Salenave Santana, Aline Aver Vanin:
Detecting Group Beliefs Related to 2018's Brazilian Elections in Tweets A Combined Study on Modeling Topics and Sentiment Analysis. - Wei Li, Wei Shao, Shaoxiong Ji, Erik Cambria:
BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis. - Mustafa Aggul:
Defect-Deferred Correction Method Based on a Subgrid Artificial Viscosity Modeling. - Brandon Reagen, Wooseok Choi, Yeongil Ko, Vincent T. Lee, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks:
Cheetah: Optimizations and Methods for PrivacyPreserving Inference via Homomorphic Encryption. - Tianlun Chen, Albert Y. S. Lam, Yue Song, David J. Hill:
Robust Transient Stability Constrained Optimal Power Flow with Power Flow Routers Considering Renewable Uncertainties. - Alexander Fuerst, Ahmed Ali-Eldin, Prashant J. Shenoy, Prateek Sharma:
Cloud-scale VM Deflation for Running Interactive Applications On Transient Servers. - Tianlun Chen, Albert Y. S. Lam, Yue Song, David J. Hill:
Reducing BESS Capacity for Accommodating Renewables in Subtransmission Systems with Power Flow Routers. - Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato, Cyril Leung, Chunyan Miao, Qiang Yang:
Incentive Mechanism Design for Resource Sharing in Collaborative Edge Learning. - Sebastiaan Scholten, Danny Merkx, Odette Scharenborg:
Learning to Recognise Words using Visually Grounded Speech. - Fedor I. Ivanov, Eugenii Krouk:
New Code-Based Cryptosystem with Arbitrary Error Vectors. - Mariska Heemskerk, Michel Mandjes, B. Mathijsen:
Staffing for many-server systems facing non-standard arrival processes. - Georgios Magklaras, Lucia Nikolaia López-Bojórquez:
A review of information security aspects of the emerging COVID-19 contact tracing mobile phone applications. - Yoonho Boo, Sungho Shin, Wonyong Sung:
Quantized Neural Networks: Characterization and Holistic Optimization. - János Végh:
How to extend the Single-Processor Paradigm to the Explicitly Many-Processor Approach. - Abhinav Bhatt, Kaustubh D. Dhole:
Benchmarking BioRelEx for Entity Tagging and Relation Extraction. - Mustafa Aggul, Songül Kaya:
Defect-Deferred Correction Method Based on a Subgrid Artificial Viscosity Model for Fluid-Fluid Interaction. - Xingyu Lei, Zhifang Yang, Juan Yu, Junbo Zhao, Qian Gao, Hongxin Yu:
Data-driven Optimal Power Flow: A Physics-Informed Machine Learning Approach. - Ajay Kumar Tanwani, Pierre Sermanet, Andy Yan, Raghav Anand, Mariano Phielipp, Ken Goldberg:
Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos. - Di Cao, Junbo Zhao, Weihao Hu, Fei Ding, Qi Huang, Zhe Chen:
Distributed Voltage Regulation of Active Distribution System Based on Enhanced Multi-agent Deep Reinforcement Learning. - Carolin Mehlmann, Peter Korn:
Sea-ice dynamics on triangular grids. - Firas Abbaas, Gürsel Serpen:
Evaluation of biometric user authentication using an ensemble classifier with face and voice recognition. - Samira Abnar, Mostafa Dehghani, Willem H. Zuidema:
Transferring Inductive Biases through Knowledge Distillation. - Haoji Hu, Xiangnan He, Jinyang Gao, Zhi-Li Zhang:
Modeling Personalized Item Frequency Information for Next-basket Recommendation. - José Gómez-Torrecillas, Gabriel Navarro, José Patricio Sánchez-Hernández:
Decoding Reed-Solomon Skew-Differential Codes. - Bangyong Sun, Vincent Jacob Whannou de Dravo, Zhe Yu:
A General-Purpose Dehazing Algorithm based on Local Contrast Enhancement Approaches. - Jiehua Chen, Wojciech Czerwinski, Yann Disser, Andreas Emil Feldmann, Danny Hermelin, Wojciech Nadara, Michal Pilipczuk, Marcin Pilipczuk, Manuel Sorge, Bartlomiej Wróblewski, Anna Zych-Pawlewicz:
On Dynamic Parameterized k-Path. - Erfaneh Gharavi, Hadi Veisi:
Improve Document Embedding for Text Categorization Through Deep Siamese Neural Network. - Özge Sevgili, Artem Shelmanov, Mikhail Y. Arkhipov, Alexander Panchenko, Chris Biemann:
Neural Entity Linking: A Survey of Models based on Deep Learning. - Alessandro Ecclesie Agazzi:
Phishing and Spear Phishing: examples in Cyber Espionage and techniques to protect against them. - Aparna Garimella, Carmen Banea, Nabil Hossain, Rada Mihalcea:
"Judge me by my size (noun), do you?" YodaLib: A Demographic-Aware Humor Generation Framework. - Francisco Salas-Molina, Juan Antonio Rodríguez-Aguilar, Filippo Bistaffa:
Shared value economics: an axiomatic approach. - Ankur Mani, Lav R. Varshney, Alex Pentland:
Quantization Games on Social Networks and Language Evolution. - Akond Rahman, Effat Farhana:
An Exploratory Characterization of Bugs in COVID-19 Software Projects. - Jianhao Wang, Zhizhou Ren, Beining Han, Chongjie Zhang:
Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning. - Rishi Shah, Yuqian Jiang, Justin W. Hart, Peter Stone:
Deep R-Learning for Continual Area Sweeping. - Anthony M. Colas, Trung Bui, Franck Dernoncourt, Moumita Sinha, Doo Soon Kim:
Efficient Deployment of Conversational Natural Language Interfaces over Databases. - Sahan Bulathwela, María Pérez-Ortiz, Aldo Lipani, Emine Yilmaz, John Shawe-Taylor:
Predicting Engagement in Video Lectures. - Rajaswa Patil, Somesh Singh, Swati Agarwal:
BPGC at SemEval-2020 Task 11: Propaganda Detection in News Articles with Multi-Granularity Knowledge Sharing and Linguistic Features based Ensemble Learning. - Yakov Babichenko, Oren Dean, Moshe Tennenholtz:
Incentive-Compatible Selection Mechanisms for Forests. - Pranjal Awasthi, Xue Chen, Aravindan Vijayaraghavan:
Estimating Principal Components under Adversarial Perturbations. - Johannes Marti:
Conditional Logic is Complete for Convexity in the Plane. - Kamil Khadiev, Maxim Yagafarov:
A Fast Algorithm for Online k-servers Problem on Trees. - Siddhant Mahurkar, Rajaswa Patil:
LRG at SemEval-2020 Task 7: Assessing the Ability of BERT and Derivative Models to Perform Short-Edits based Humor Grading. - Rajaswa Patil, Veeky Baths:
CNRL at SemEval-2020 Task 5: Modelling Causal Reasoning in Language with Multi-Head Self-Attention Weights based Counterfactual Detection. - Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma:
Content-aware Neural Hashing for Cold-start Recommendation. - Mohamad Khedmati, Masoud Erfani, Mohammad GhasemiGol:
Applying support vector data description for fraud detection. - Gal Vardi, Ohad Shamir:
Neural Networks with Small Weights and Depth-Separation Barriers. - Yin Li, Miao Liu, James M. Rehg:
In the Eye of the Beholder: Gaze and Actions in First Person Video. - Guido Cavraro, Emiliano Dall'Anese, Joshua Comden, Andrey Bernstein:
Online State Estimation for Systems with Asynchronous Sensors. - Paolo Mancuso, Veronica Piccialli, Antonio Maria Sudoso:
A machine learning approach for forecasting hierarchical time series. - Hiroki Ishizaka, Kenta Kobayashi, Takuya Tsuchiya:
Crouzeix-Raviart and Raviart-Thomas finite-element error analysis on anisotropic meshes violating the maximum-angle condition. - Alan Ramponi, Barbara Plank:
Neural Unsupervised Domain Adaptation in NLP - A Survey. - Emily Allaway, Kathleen R. McKeown:
A Unified Feature Representation for Lexical Connotations. - Juan Ungredda, Michael Pearce, Jürgen Branke:
Bayesian Optimisation vs. Input Uncertainty Reduction. - Mahdi Elhousni, Yecheng Lyu, Ziming Zhang, Xinming Huang:
Automatic Building and Labeling of HD Maps with Deep Learning. - Mahdi Elhousni, Xinming Huang:
Review on 3D Lidar Localization for Autonomous Driving Cars. - Peng Yan, Nengkun Yu:
The QQUIC Transport Protocol: Quantum assisted UDP Internet Connections. - Rafael B. Mangolin, Rodolfo Miranda Pereira, Alceu S. Britto Jr., Carlos Nascimento Silla Jr., Valéria Delisandra Feltrim, Diego Bertolini, Yandre M. G. Costa:
A multimodal approach for multi-label movie genre classification. - Sho Takemori, Masahiro Sato, Takashi Sonoda, Janmajay Singh, Tomoko Ohkuma:
Submodular Bandit Problem Under Multiple Constraints. - Yiming Liu, Erwu Liu, Rui Wang, Yuanzhe Geng:
Beamforming Designs and Performance Evaluations for Intelligent Reflecting Surface Enhanced Wireless Communication System with Hardware Impairments. - Wenjie Liu, Li-Lian Wang, Boying Wu:
Optimal error estimates for Legendre approximation of singular functions with limited regularity. - Somil Gupta, Bhanu Pratap Singh Rawat:
Conversational Machine Comprehension: a Literature Review. - Milad Haghani, Michiel C. J. Bliemer:
Covid-19 pandemic and the unprecedented mobilisation of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCov literature. - Md Hasan Shahriar, Nur Imtiazul Haque, Mohammad Ashiqur Rahman, Miguel Alonso Jr.:
G-IDS: Generative Adversarial Networks Assisted Intrusion Detection System. - Shouvik Roy, Usama Mehmood, Radu Grosu, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari:
Learning Distributed Controllers for V-Formation. - Flavia Bonomo-Braberman, Carolina Lucía Gonzalez:
The generalized locally checkable problem in bounded treewidth graphs. - Alireza Rezvanifar, Melissa Cote, Alexandra Branzan Albu:
Symbol Spotting on Digital Architectural Floor Plans Using a Deep Learning-based Framework. - Chong Chen, Runqian Wang:
An Algorithm to Compute the X-ray Transform. - Ramon Alfonso Villa Cox, Sumeet Kumar, Matthew Babcock, Kathleen M. Carley:
Stance in Replies and Quotes (SRQ): A New Dataset For Learning Stance in Twitter Conversations. - Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin:
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. - Milos Nikolic, Haozhe Zhang, Ahmet Kara, Dan Olteanu:
F-IVM: Learning over Fast-Evolving Relational Data. - Thanh Tung Khuat, Bogdan Gabrys:
Random Hyperboxes. - Patricio Cerda-Mardini, Vladimir Araujo, Alvaro Soto:
Translating Natural Language Instructions for Behavioral Robot Navigation with a Multi-Head Attention Mechanism. - Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang:
Locally Differentially Private (Contextual) Bandits Learning. - Xiaoyu Chen, Kai Zheng, Zixin Zhou, Yunchang Yang, Wei Chen, Liwei Wang:
(Locally) Differentially Private Combinatorial Semi-Bandits. - Alexey Sidnev, Alexander Krapivin, Alexey Trushkov, Ekaterina Krasikova, Maxim Kazakov:
DeepMark++: CenterNet-based Clothing Detection. - Kangfei Zhao, Shengcai Liu, Yu Rong, Jeffrey Xu Yu:
Leveraging TSP Solver Complementarity via Deep Learning. - Zhewei Yao, Amir Gholami, Sheng Shen, Kurt Keutzer, Michael W. Mahoney:
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning. - Noah Shutty, Casimir Wierzynski:
Learning Irreducible Representations of Noncommutative Lie Groups. - Sahil Singla, Soheil Feizi:
Second-Order Provable Defenses against Adversarial Attacks. - Warren L. Hare, Gabriel Jarry-Bolduc, Chayne Planiden:
Error bounds for overdetermined and underdetermined generalized centred simplex gradients. - Guy Blanc, Jane Lange, Li-Yang Tan:
Provable guarantees for decision tree induction: the agnostic setting. - Assyr Abdulle, Marcus J. Grote, Giacomo Rosilho de Souza:
Stabilized explicit multirate methods for stiff differential equations. - Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen:
Global Distance-distributions Separation for Unsupervised Person Re-identification. - Chenyu Gao, Qi Zhu, Peng Wang, Hui Li, Yuliang Liu, Anton van den Hengel, Qi Wu:
Structured Multimodal Attentions for TextVQA. - Gang Wang, Chaoli Wang, Zhengtao Ding, Yunfeng Ji:
Distributed Consensus of Nonlinear Multi-Agent Systems With Mismatched Uncertainties and Unknown High-Frequency Gains (Extended Version). - Yafei Zhang, Lin Wang, Jonathan J. H. Zhu, Xiaofan Wang:
Conspiracy vs Science: A Large-scale Analysis of Online Discussion Cascades. - Desmond Cai, Duc Thien Nguyen, Shiau Hong Lim, Laura Wynter:
Variational Bayesian Inference for Crowdsourcing Predictions. - Benet Oriol, Jordi Luque, Ferran Diego, Xavier Giró-i-Nieto:
Transcription-Enriched Joint Embeddings for Spoken Descriptions of Images and Videos. - Alejandro Acien, Aythami Morales, Rubén Vera-Rodríguez, Julian Fiérrez:
Smartphone Sensors for Modeling Human-Computer Interaction: General Outlook and Research Datasets for User Authentication. - Enrica Loria, Johanna Pirker, Anders Drachen, Annapaola Marconi:
Do Influencers Influence? - Analyzing Players' Activity in an Online Multiplayer Game. - Mohammed Emtiaz Ahmed, Md. Rafiqul Islam Rabin, Farah Naz Chowdhury:
COVID-19: Social Media Sentiment Analysis on Reopening. - (Withdrawn) Note to "An efficient Data Structure for Lattice Operation".
- Konstantin Sofiiuk, Polina Popenova, Anton Konushin:
Foreground-aware Semantic Representations for Image Harmonization. - Yajue Yang, Jia Pan, Pinxin Long, Xibin Song, Liangjun Zhang:
Time Variable Minimum Torque Trajectory Optimization for Autonomous Excavator. - Linna Ruan, Shaoyong Guo, Xuesong Qiu, Rajkumar Buyya:
Fog Computing for Smart Grids: Challenges and Solutions. - Maha Elbayad, Michael Ustaszewski, Emmanuelle Esperança-Rodier, Francis Brunet-Manquat, Laurent Besacier:
Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English. - Aunas Manzoor, Kitae Kim, Shashi Raj Pandey, S. M. Ahsan Kazmi, Nguyen Hoang Tran, Walid Saad, Choong Seon Hong:
Ruin Theory for Energy-Efficient Resource Allocation in UAV-assisted Cellular Networks. - Paul Bakker, Henk-Jan Boele, Zaid Al-Ars, Christos Strydis:
Real-Time Face and Landmark Localization for Eyeblink Detection. - Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop:
Adversarial Attacks on Reinforcement Learning based Energy Management Systems of Extended Range Electric Delivery Vehicles. - Junchang Wang, Xiong Fu, Fu Xiao, Chen Tian:
DHash: Enabling Dynamic and Efficient Hash Tables. - Farzeen Munir, Shoaib Azam, Muhammad Aasim Rafique, Ahmad Muqeem Sheri, Moongu Jeon:
Thermal Object Detection using Domain Adaptation through Style Consistency. - Hongjia Wu, Mengdi Liu:
A Survey on Universal Design for Fitness Wearable Devices. - Javier Hernandez-Ortega, Roberto Daza, Aythami Morales, Julian Fiérrez, Ruben Tolosana:
Heart Rate Estimation from Face Videos for Student Assessment: Experiments on edBB. - Fadime Sener, Dipika Singhania, Angela Yao:
Temporal Aggregate Representations for Long Term Video Understanding. - Markku Luotamo, Sari Metsämäki, Arto Klami:
Multi-scale Cloud Detection in Remote Sensing Images using a Dual Convolutional Neural Network. - Mathieu Dehouck, Mark Anderson, Carlos Gómez-Rodríguez:
Efficient EUD Parsing. - Ben Wang:
LFTag: A Scalable Visual Fiducial System with Low Spatial Frequency. - Anne Lauscher, Lily Ng, Courtney Napoles, Joel R. Tetreault:
Rhetoric, Logic, and Dialectic: Advancing Theory-based Argument Quality Assessment in Natural Language Processing. - Mark Anderson, Carlos Gómez-Rodríguez:
Distilling Neural Networks for Greener and Faster Dependency Parsing. - Kartikey Pant, Tanvi Dadu:
Sarcasm Detection using Context Separators in Online Discourse. - Guibin Chen, Jiong Deng, Dongze Huang, Shuo Zhang:
3D Lidar Mapping Relative Accuracy Automatic Evaluation Algorithm. - Nerea Martínez, Alejandro Fernández Villaverde:
Nonlinear observability algorithms with known and unknown inputs: analysis and implementation. - Inken Hagestedt, Michael Backes, Andreas Bulling:
Adversarial Attacks on Classifiers for Eye-based User Modelling. - Antoine Wehenkel, Gilles Louppe:
You say Normalizing Flows I see Bayesian Networks. - Denisse Martinez-Mejorado, Razieh L. Saremi, Ye Yang, Jose Emmanuel Ramirez-Marquez:
Study on Patterns and Effect of Task Diversity in Software Crowdsourcing. - Nabil M. Atallah, Claudio Canuto, Guglielmo Scovazzi:
Analysis of the Shifted Boundary Method for the Poisson Problem in General Domains. - James Morrill, Adeline Fermanian, Patrick Kidger, Terry J. Lyons:
A Generalised Signature Method for Time Series. - Michael Benedikt, Pierre Bourhis, Louis Jachiet, Efthymia Tsamoura:
Balancing expressiveness and inexpressiveness in view design. - Nikheel Soni, Reza Malekian, Dijana Capeska Bogatinoska:
Algorithms for Computing in Fog Systems: principles, algorithms, and Challenges. - Hanrong Ye, Hong Liu, Fanyang Meng, Xia Li:
Bi-directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-Identification. - Jakob Thrane, Krzysztof Mateusz Malarski, Henrik Lehrmann Christiansen, Sarah Ruepp:
Experimental Evaluation of Empirical NB-IoT Propagation Modelling in a Deep-Indoor Scenario. - Adrien Bennetot, Vicky Charisi, Natalia Díaz Rodríguez:
Should artificial agents ask for help in human-robot collaborative problem-solving? - Limeng Cui, Dongwon Lee:
CoAID: COVID-19 Healthcare Misinformation Dataset. - M. Z. Naser, Amir Alavi:
Insights into Performance Fitness and Error Metrics for Machine Learning. - Ursin Brunner, Kurt Stockinger:
ValueNet: A Neural Text-to-SQL Architecture Incorporating Values. - Petro Feketa, Alexander Schaum, Thomas Meurer:
Stability of cluster formations in adaptive Kuramoto networks. - Olivier Carton:
Preservation of normality by unambiguous transducers. - Amir Saberi, Farhad Farokhi, Girish N. Nair:
An Explicit Formula for the Zero-Error Feedback Capacity of a Class of Finite-State Additive Noise Channels. - Jinhan Kim, Jeongil Ju, Robert Feldt, Shin Yoo:
Reducing DNN Labelling Cost using Surprise Adequacy: An Industrial Case Study for Autonomous Driving. - Stijn Verdenius, Maarten Stol, Patrick Forré:
Pruning via Iterative Ranking of Sensitivity Statistics. - Yaqiong Zhao, Wei Xu, Jindan Xu, Shi Jin, Kezhi Wang, Mohamed-Slim Alouini:
Analog Versus Hybrid Precoding for Multiuser Massive MIMO with Quantized CSI Feedback. - Henry Charlesworth, Giovanni Montana:
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals. - Jose David Fernández Rodriguez, David Daniel Albarracín-Molina, Jesús Hormigo Cebolla:
Implementing AI-powered semantic character recognition in motor racing sports. - Qian Feng, Zhaopeng Chen, Jun Deng, Chunhui Gao, Jianwei Zhang, Alois C. Knoll:
Center-of-Mass-based Robust Grasp Planning for Unknown Objects Using Tactile-Visual Sensors. - Shengxue He:
An Approach to Avoid the Unreal High Flows on Congested Links and Investigates the Evolution of Congestion over Network. - Vo Anh Khoa, Grant W. Bidney, Michael V. Klibanov, Loc H. Nguyen, Lam H. Nguyen, Anders J. Sullivan, Vasily N. Astratov:
An inverse problem of a simultaneous reconstruction of the dielectric constant and conductivity from experimental backscattering data. - A. Jesse Jiryu Davis, Max Hirschhorn, Judah Schvimer:
eXtreme Modelling in Practice. - Nayara Aguiar, Indraneel Chakraborty, Vijay Gupta:
Power Trades and Network Congestion Externalities. - Tobias Uhlig, Peter Hillmann, Oliver Rose:
Evaluation of the general applicability of Dragoon for the k-center problem. - Hasan Basri Çelebi, Antonios Pitarokoilis, Mikael Skoglund:
Latency and Reliability Limits with Decoding Complexity Constraints. - Lluís Gómez, Ali Furkan Biten, Rubèn Tito, Andrés Mafla, Marçal Rusiñol, Ernest Valveny, Dimosthenis Karatzas:
Multimodal grid features and cell pointers for Scene Text Visual Question Answering. - Sooraj Boominathan, Michael Oberst, Helen Zhou, Sanjat Kanjilal, David A. Sontag:
Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes. - Sebastian Müller, Andreas Penzkofer, Bartosz Kusmierz, Darcy Camargo, William J. Buchanan:
Fast Probabilistic Consensus with Weighted Votes. - Andra M. Voicu, Ljiljana Simic, Marina Petrova:
Limitations of Stochastic Geometry Modelling for Estimating the Performance of CSMA Networks. - Wiebke Toussaint, Deshendran Moodley:
Using competency questions to select optimal clustering structures for residential energy consumption patterns. - Federico Errica, Ludovic Denoyer, Bora Edizel, Fabio Petroni, Vassilis Plachouras, Fabrizio Silvestri, Sebastian Riedel:
Concept Matching for Low-Resource Classification. - Chepuri Shri Krishna, Ashish Gupta, Himanshu Rai, Swarnim Narayan:
Neural Architecture Search with Reinforce and Masked Attention Autoregressive Density Estimators. - Linfang Hou, Liang Pang, Xin Hong, Yanyan Lan, Zhiming Ma, Dawei Yin:
Robust Reinforcement Learning with Wasserstein Constraint. - Ilias Kanellos, Thanasis Vergoulis, Dimitris Sacharidis, Theodore Dalamagas, Yannis Vassiliou:
Ranking Papers by their Short-Term Scientific Impact. - Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch:
One Versus all for deep Neural Network Incertitude (OVNNI) quantification. - Cyrus Anderson, Ram Vasudevan, Matthew Johnson-Roberson:
Off The Beaten Sidewalk: Pedestrian Prediction In Shared Spaces For Autonomous Vehicles. - Le Anh Dao, Alireza Dehghani Pilehvarani, Achilleas Markou, Luca Ferrarini:
A hierarchical distributed predictive control approach for microgrids energy management. - Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi:
Learning LWF Chain Graphs: A Markov Blanket Discovery Approach. - Kiarash Aryankia, Rastko R. Selmic:
Neuro-Adaptive Formation Control and Target Tracking for Nonlinear Multi-Agent Systems with Time-Delay. - Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao:
On the Number of Linear Regions of Convolutional Neural Networks. - Matt Hoffman, Bobak Shahriari, John Aslanides, Gabriel Barth-Maron, Feryal M. P. Behbahani, Tamara Norman, Abbas Abdolmaleki, Albin Cassirer, Fan Yang, Kate Baumli, Sarah Henderson, Alexander Novikov, Sergio Gómez Colmenarejo, Serkan Cabi, Çaglar Gülçehre, Tom Le Paine, Andrew Cowie, Ziyu Wang, Bilal Piot, Nando de Freitas:
Acme: A Research Framework for Distributed Reinforcement Learning. - Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich:
Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space. - Shashank Sonkar, Andrew E. Waters, Richard G. Baraniuk:
Attention Word Embedding. - Zemin Sun, Yanheng Liu, Jian Wang, Anil Carie, Dongpu Cao:
Game Theoretic Approaches in Vehicular Networks: A Survey. - Yanai Elazar, Shauli Ravfogel, Alon Jacovi, Yoav Goldberg:
When Bert Forgets How To POS: Amnesic Probing of Linguistic Properties and MLM Predictions. - Lucas Deecke, Timothy M. Hospedales, Hakan Bilen:
Latent Domain Learning with Dynamic Residual Adapters. - Tao Bian, Zhong-Ping Jiang:
Temporal-Differential Learning in Continuous Environments. - John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, Nithum Thain, Ion Androutsopoulos:
Toxicity Detection: Does Context Really Matter? - Mihaela Duta, Kim Plunkett:
A Neural Network Model of Lexical Competition during Infant Spoken Word Recognition. - Itay Safran, Gilad Yehudai, Ohad Shamir:
The Effects of Mild Over-parameterization on the Optimization Landscape of Shallow ReLU Neural Networks. - Weidong Mei, Rui Zhang:
Uplink Cooperative Interference Cancellation for Cellular-Connected UAV: A Quantize-and-Forward Approach. - Mohammad Abdulaziz, Dominik Berger:
Computing Plan-Length Bounds Using Lengths of Longest Paths. - Abhishek Das, Federico Carnevale, Hamza Merzic, Laura Rimell, Rosalia Schneider, Josh Abramson, Alden Hung, Arun Ahuja, Stephen Clark, Gregory Wayne, Felix Hill:
Probing Emergent Semantics in Predictive Agents via Question Answering. - Nabil Kahalé:
Least-squares regressions via randomized Hessians. - Muhammad Zuhair Qadir, Songhao Piao, Haiyang Jiang, Mohammed El Habib Souidi:
A novel approach for multi-agent cooperative pursuit to capture grouped evaders. - Jie Sun, Abd AlRahman R. AlMomani, Erik M. Bollt:
Data-Driven Learning of Boolean Networks and Functions by Optimal Causation Entropy Principle (BoCSE). - Jad Hachem, Nikhil Karamchandani, Suhas N. Diggavi, Sharayu Moharir:
Coded Caching for Heterogeneous Wireless Networks. - Antonios Antoniadis, Themis Gouleakis, Pieter Kleer, Pavel Kolev:
Secretary and Online Matching Problems with Machine Learned Advice. - Yan Leng, Tara Sowrirajan, Alex Pentland:
Interpretable Stochastic Block Influence Model: measuring social influence among homophilous communities. - (Withdrawn) Fault-Tolerant Distributed Implementation of Digital Social Contracts.
- Anatoly Belikov, Alexey Potapov:
GoodPoint: unsupervised learning of keypoint detection and description. - Valentin Peretroukhin, Matthew Giamou, David M. Rosen, W. Nicholas Greene, Nicholas Roy, Jonathan Kelly:
A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with Uncertainty. - Sejin Seo, Sang Won Choi, Sujin Kook, Seong-Lyun Kim, Seung-Woo Ko:
Understanding Uncertainty of Edge Computing: New Principle and Design Approach. - Marco Buongiorno Nardelli:
Tonal harmony, the topology of dynamical score networks and the Chinese postman problem. - Olivier Gouvert, Thomas Oberlin, Cédric Févotte:
Ordinal Non-negative Matrix Factorization for Recommendation. - David H. Silver, Martin Feder, Yael Gold-Zamir, Avital L. Polsky, Shahar Rosentraub, Efrat Shachor, Adi Weinberger, Pavlo Mazur, Valery D. Zukin, Alex M. Bronstein:
Data-Driven Prediction of Embryo Implantation Probability Using IVF Time-lapse Imaging. - Minghao Li, Yiheng Xu, Lei Cui, Shaohan Huang, Furu Wei, Zhoujun Li, Ming Zhou:
DocBank: A Benchmark Dataset for Document Layout Analysis. - Xiaoyi Chen, Ahmed Salem, Michael Backes, Shiqing Ma, Yang Zhang:
BadNL: Backdoor Attacks Against NLP Models. - Shu-Yu Chen, Wanchao Su, Lin Gao, Shihong Xia, Hongbo Fu:
Deep Generation of Face Images from Sketches. - Jordan Urbaczek, Razieh L. Saremi, Mostaan Lotfalian Saremi, Julian Togelius:
Scheduling Tasks for Software Crowdsourcing Platforms to Reduce Task Failure. - George Papadimitriou, Athanasios Chatzidimitriou, Dimitris Gizopoulos, Vijay Janapa Reddi, Jingwen Leng, Behzad Salami, Osman S. Unsal, Adrián Cristal Kestelman:
Exceeding Conservative Limits: A Consolidated Analysis on Modern Hardware Margins. - Andrea Tilli, Alessandro Bosso, Elena Ruggiano, Alessandro Samorì:
Periodic Motion Optimization for an Underactuated Mechanical System through Synergistic Structure-Control Design. - David Fuentes-Jiménez, Roberto Martín-López, Cristina Losada-Gutiérrez, David Casillas-Perez, Javier Macías Guarasa, Daniel Pizarro, Carlos A. Luna:
DPDnet: A Robust People Detector using Deep Learning with an Overhead Depth Camera. - Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, Kijung Shin:
SSumM: Sparse Summarization of Massive Graphs. - Alon Jacovi, Yoav Goldberg:
Aligning Faithful Interpretations with their Social Attribution. - Chenxing Li, Fan Long, Guang Yang:
GHAST: Breaking Confirmation Delay Barrier in Nakamoto Consensus via Adaptive Weighted Blocks. - Fabian Ruffy, Tao Wang, Anirudh Sivaraman:
Gauntlet: Finding Bugs in Compilers for Programmable Packet Processing. - Alina Karakanta, Matteo Negri, Marco Turchi:
Is 42 the Answer to Everything in Subtitling-oriented Speech Translation? - Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung:
Emergence of Separable Manifolds in Deep Language Representations. - Anoopkumar Sonar, Vincent Pacelli, Anirudha Majumdar:
Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning. - Quang-Trung Luu, Sylvaine Kerboeuf, Michel Kieffer:
Uncertainty-Aware Resource Provisioning for Network Slicing. - Alex Ayoub, Zeyu Jia, Csaba Szepesvári, Mengdi Wang, Lin F. Yang:
Model-Based Reinforcement Learning with Value-Targeted Regression. - Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How:
Collision Probabilities for Continuous-Time Systems Without Sampling [with Appendices]. - Yen-Ling Kuo, Boris Katz, Andrei Barbu:
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas. - Yuntian Deng, Alexander M. Rush:
Cascaded Text Generation with Markov Transformers. - Joshua Bambrick, Minjie Xu, Andy Almonte, Igor Malioutov, Guim Perarnau, Vittorio Selo, Iat Chong Chan:
NSTM: Real-Time Query-Driven News Overview Composition at Bloomberg. - Wen-Chiao Tsai, Chieh-Fang Teng, Han-Mo Ou, An-Yeu Wu:
Neural Network-Aided BCJR Algorithm for Joint Symbol Detection and Channel Decoding. - Sándor Bozóki, Zsombor Szádoczki, Hailemariam Abebe Tekile:
Filling in pattern designs for incomplete pairwise comparison matrices: (quasi-)regular graphs with minimal diameter. - János Végh:
Introducing temporal behavior to computing science. - Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, Akiko Takeda:
Theory and Algorithms for Shapelet-based Multiple-Instance Learning. - Saif M. Mohammad:
NLP Scholar: An Interactive Visual Explorer for Natural Language Processing Literature. - Ellen Rushe, Brian Mac Namee:
Deep Context-Aware Novelty Detection. - Rob van der Goot, Özlem Çetinoglu:
Lexical Normalization for Code-switched Data and its Effect on POS-tagging. - Andrea Bonito, Murtazo Nazarov:
Numerical Simulations of Surface-Quasi Geostrophic Flows on Periodic Domains. - Mohammad Ghafari, Pascal Gadient, Oscar Nierstrasz:
Security Smells in Android. - Humberto De las Casas, Hanz Richter:
Backstepping Control of Muscle Driven Systems with Redundancy Resolution. - Shi-Yan Weng, Tien-Hong Lo, Berlin Chen:
An Effective Contextual Language Modeling Framework for Speech Summarization with Augmented Features. - Michael Benedikt, Egor V. Kostylev, Tony Tan:
Two variable logic with ultimately periodic counting. - Konstantin S. Yakovlev, Anton Andreychuk, Roni Stern:
Revisiting Bounded-Suboptimal Safe Interval Path Planning. - Mingyuan Meng, Shaojun Liu:
High-quality Panorama Stitching based on Asymmetric Bidirectional Optical Flow. - Zachary Abel, Hugo A. Akitaya, Erik D. Demaine, Martin L. Demaine, Adam Hesterberg, Matias Korman, Jason S. Ku, Jayson Lynch:
Negative Instance for the Edge Patrolling Beacon Problem. - Satanik Mitra, Mamata Jenamani:
Hybrid Improved Document-level Embedding (HIDE). - Shiting Xu, Wenbiao Ding, Zitao Liu:
Automatic Dialogic Instruction Detection for K-12 Online One-on-one Classes. - Sirwe Saeedi, Aliakbar Panahi, Seyran Saeedi, Alvis Cheuk M. Fong:
CS-NLP team at SemEval-2020 Task 4: Evaluation of State-of-the-artNLP Deep Learning Architectures on Commonsense Reasoning Task. - Or Haim Anidjar, Chen Hajaj, Amit Dvir, I. Gilad:
A Thousand Words are Worth More Than One Recording: NLP Based Speaker Change Point Detection. - Jens Helge Reelfs, Oliver Hohlfeld, Markus Strohmaier, Niklas Henckell:
Word-Emoji Embeddings from large scale Messaging Data reflect real-world Semantic Associations of Expressive Icons. - Nikhita Vedula, Rahul Gupta, Aman Alok, Mukund Sridhar:
Automatic Discovery of Novel Intents & Domains from Text Utterances. - Xingyuan Pan, Maitrey Mehta, Vivek Srikumar:
Learning Constraints for Structured Prediction Using Rectifier Networks. - Qinghua Chen, Yan Wang, Mengmeng Wang, Xiaomeng Li:
The 'Letter' Distribution in the Chinese Language. - Benjamin D. Horne, Maurício Gruppi, Sibel Adali:
Do All Good Actors Look The Same? Exploring News Veracity Detection Across The U.S. and The U.K. - Frank Uhlig:
On the Decomposability of 1-Parameter Matrix Flows. - George K. Sidiropoulos, Chairi Kiourt, Lefteris Moussiades:
Crowd simulation for crisis management: the outcomes of the last decade. - Tanvi Dadu, Kartikey Pant, Radhika Mamidi:
BERT-based Ensembles for Modeling Disclosure and Support in Conversational Social Media Text. - Rachit Chhaya, Jayesh Choudhari, Anirban Dasgupta, Supratim Shit:
Streaming Coresets for Symmetric Tensor Factorization. - Michael A. Beck, Chen-Yi Liu, Christopher P. Bidinosti, Christopher J. Henry, Cara M. Godee, Manisha Ajmani:
An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture. - Ruben Grandia, Andrew J. Taylor, Andrew Singletary, Marco Hutter, Aaron D. Ames:
Nonlinear Model Predictive Control of Robotic Systems with Control Lyapunov Functions. - Andreas Van Barel, Stefan Vandewalle:
MG/OPT and MLMC for Robust Optimization of PDEs. - Albara Ah Ramli, Rex Liu, Rahul Krishnamoorthy, Vishal I B, Xiaoxiao Wang, Ilias Tagkopoulos, Xin Liu:
BWCNN: Blink to Word, a Real-Time Convolutional Neural Network Approach. - Yuichiro Tanaka, Yutaro Ishida, Yushi Abe, Tomohiro Ono, Kohei Kabashima, Takuma Sakata, Masashi Fukuyado, Fuyuki Muto, Takumi Yoshii, Kazuki Kanamaru, Daichi Kamimura, Kentaro Nakamura, Yuta Nishimura, Takashi Morie, Hakaru Tamukoh:
Hibikino-Musashi@Home 2019 Team Description Paper. - Dino Mandrioli, Matteo Pradella, Stefano Crespi-Reghizzi:
Aperiodicity, Star-freeness, and First-order Definability of Structured Context-Free Languages. - Brendan Reidy, Ramtin Zand:
SOT-MRAM based Sigmoidal Neuron for Neuromorphic Architectures. - Frank Uhlig:
Constructing the Field of Values of Decomposable and General Matrices. - Aaron Defazio, Robert M. Gower:
Factorial Powers for Stochastic Optimization. - Enrique Amigó, Julio Gonzalo, Stefano Mizzaro, Jorge Carrillo-de-Albornoz:
An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results. - Anna Ma, Denali Molitor:
Randomized Kaczmarz for Tensor Linear Systems. - (Withdrawn) Learning to Detect 3D Objects from Point Clouds in Real Time.
- Pedro García López, Aleksander Slominski, Simon Shillaker, Michael Behrendt, Bernard Metzler:
Serverless End Game: Disaggregation enabling Transparency. - Joshua Ani, Jeffrey Bosboom, Erik D. Demaine, Yevhenii Diomidov, Dylan H. Hendrickson, Jayson Lynch:
Walking through Doors is Hard, even without Staircases: Proving PSPACE-hardness via Planar Assemblies of Door Gadgets. - Chaoting Xuan:
An End-to-End Encryption Solution for Enterprise Content Applications. - AbdelRahim A. Elmadany, Chiyu Zhang, Muhammad Abdul-Mageed, Azadeh Hashemi:
Leveraging Affective Bidirectional Transformers for Offensive Language Detection. - Christopher Frye, Damien de Mijolla, Laurence Cowton, Megan Stanley, Ilya Feige:
Shapley-based explainability on the data manifold. - Andre Mendes, Julian Togelius, Leandro dos Santos Coelho:
Multi-Stage Transfer Learning with an Application to Selection Process. - Fubao Wu, Lixin Gao:
Scalable Top-k Query on Information Networks with Hierarchical Inheritance Relations. - Zois Boukouvalas, Christine Mallinson, Evan Crothers, Nathalie Japkowicz, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tülay Adali:
Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19. - Ivano Lauriola, Alessandro Moschitti:
Context-based Transformer Models for Answer Sentence Selection. - Corneliu T. C. Arsene:
Fusion of Real Time Thermal Image and 1D/2D/3D Depth Laser Readings for Remote Thermal Sensing in Industrial Plants by Means of UAVs and/or Robots. - Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng, Hong Huang, Emine Yilmaz:
Outlier Resilient Collaborative Web Service QoS Prediction. - Aytunc Sahin, Yatao Bian, Joachim M. Buhmann, Andreas Krause:
From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models. - Fubao Wu, Han Hee Song, Jiangtao Yin, Lixin Gao, Mario Baldi, Narendra Anand:
NEMA: Automatic Integration of Large Network Management Databases. - Hanieh Hashemi, Yongqin Wang, Murali Annavaram:
DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks. - Kyungmi Lee, Anantha P. Chandrakasan:
Rethinking Empirical Evaluation of Adversarial Robustness Using First-Order Attack Methods. - Adnan Iftekhar, Xiaohui Cui, Mir Hassan, Wasif Afzal:
Application of Blockchain and Internet of Things to Ensure Tamper-Proof Data Availability for Food Safety. - Antonio Ricardo Alexandre Brasil, Jefferson Oliveira Andrade, Karin Satie Komati:
Eye Movements Biometrics: A Bibliometric Analysis from 2004 to 2019. - Badreddine Benreguia, Hamouma Moumen:
Self-stabilizing Algorithm for Minimal α-Dominating Set. - Oualid Laiadi, Abdelmalik Ouamane, Abdelhamid Benakcha, Abdelmalik Taleb-Ahmed, Abdenour Hadid:
Multi-view Deep Features for Robust Facial Kinship Verification. - Michael Larionov:
Sampling Techniques in Bayesian Target Encoding. - Tarek Elgamal, Shu Shi, Varun Gupta, Rittwik Jana, Klara Nahrstedt:
SiEVE: Semantically Encoded Video Analytics on Edge and Cloud. - Fanqing Lin, Connor Wilhelm, Tony R. Martinez:
Two-hand Global 3D Pose Estimation Using Monocular RGB. - Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun:
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding. - Gregorio Perez Bernal, Luisa Toro Villegas, Mauricio Toro:
Saber Pro success prediction model using decision tree based learning. - Bay Wei Heng, Jonathan Scarlett:
Non-Adaptive Group Testing in the Linear Regime: Strong Converse and Approximate Recovery. - Prasanth Chatarasi, Stephen Neuendorffer, Samuel Bayliss, Kees A. Vissers, Vivek Sarkar:
Vyasa: A High-Performance Vectorizing Compiler for Tensor Convolutions on the Xilinx AI Engine. - Fouad Hasan, Amin Kargarian, Javad Mohammadi:
Hybrid Learning Aided Inactive Constraints Filtering Algorithm to Enhance AC OPF Solution Time. - Joshua Ackerman, George Cybenko:
A Survey of Neural Networks and Formal Languages. - Warit Sirichotedumrong, Hitoshi Kiya:
A GAN-Based Image Transformation Scheme for Privacy-Preserving Deep Neural Networks. - Jie Cai, Zhengzhou Zhu, Ping Nie, Qian Liu:
A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension. - Samarth Tambad, Rohit Nandwani, Suzanne K. McIntosh:
Analyzing programming languages by community characteristics on Github and StackOverflow. - Bon Adriel Aseniero, Charles Perin, Wesley Willett, Anthony Tang, Sheelagh Carpendale:
Activity River: Visualizing Planned and Logged Personal Activities for Reflection. - Tan N. Le, Zhenhua Liu:
Flex: Closing the Gaps between Usage and Allocation. - Chuchu Chen, Jialin Hong, Diancong Jin, Liying Sun:
Large deviations principles for symplectic discretizations of stochastic linear Schrödinger Equation. - Sandra L. Ramirez-Mora, Hanna Oktaba, Helena Gómez-Adorno:
Descriptions of issues and comments for predicting issue success in software projects. - Jiabao Wang, Yang Li, Yangshuo Zhang, Zhuang Miao, Rui Zhang:
A heterogeneous branch and multi-level classification network for person re-identification. - Takuma Kato, Kaori Abe, Hiroki Ouchi, Shumpei Miyawaki, Jun Suzuki, Kentaro Inui:
Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition. - Shalinda Adikari, Kaushik Dutta:
Identifying Fake Profiles in LinkedIn. - David Rey, Michael W. Levin, Vinayak V. Dixit:
Online Incentive-Compatible Mechanisms for Traffic Intersection Auctions. - Thomas P. Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh:
DeepCoDA: personalized interpretability for compositional health data. - Kaito Fujii:
Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions. - Maher Kachmar, David R. Kaeli:
A Smart Background Scheduler for Storage Systems. - A. S. Narmadha:
Trust-Based Winnow Linear Multiplicative Classification For Secure Multipath Routing In Manet. - Jay N. Paranjape, Rahul Kumar Dubey, Vijendran V. Gopalan:
Exploring the role of Input and Output Layers of a Deep Neural Network in Adversarial Defense. - Yen-Ting Liu, Yu-Jhe Li, Yu-Chiang Frank Wang:
Transforming Multi-Concept Attention into Video Summarization. - Lokesh Das, Myounggyu Won:
D-ACC: Dynamic Adaptive Cruise Control for Highways with On-Ramps Based on Deep Q-Learning. - Trong Huy Phan, Kazuma Yamamoto:
Resolving Class Imbalance in Object Detection with Weighted Cross Entropy Losses. - Xinyu Wang, Yong Jiang, Kewei Tu:
Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data. - Isidro M. Alvarez, Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems. - Yuan Shangguan, Kate Knister, Yanzhang He, Ian McGraw, Françoise Beaufays:
Analyzing the Quality and Stability of a Streaming End-to-End On-Device Speech Recognizer. - Antoine Riard, Gleb Naumenko:
Time-Dilation Attacks on the Lightning Network. - Seungyul Han, Youngchul Sung:
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration. - Yucheng Chen, Yingli Tian, Mingyi He:
Monocular Human Pose Estimation: A Survey of Deep Learning-based Methods. - Yiqun Mei, Yuchen Fan, Yuqian Zhou, Lichao Huang, Thomas S. Huang, Humphrey Shi:
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining. - Xueyan Wang, Jianlei Yang, Yinglin Zhao, Xiaotao Jia, Gang Qu, Weisheng Zhao:
Hardware Security in Spin-Based Computing-In-Memory: Analysis, Exploits, and Mitigation Techniques. - Daniël Reijsbergen, Pawel Szalachowski, Junming Ke, Zengpeng Li, Jianying Zhou:
ProPoS: A Probabilistic Proof-of-Stake Protocol. - Sanjeev Saxena:
Zone Theorem for Arrangements in three dimensions. - Minxuan Lin, Fan Tang, Weiming Dong, Xiao Li, Chongyang Ma, Changsheng Xu:
Distribution Aligned Multimodal and Multi-Domain Image Stylization. - Somil Gupta, Nilesh Khade:
BERT Based Multilingual Machine Comprehension in English and Hindi. - Chen Gao, Si Liu, Ran He, Shuicheng Yan, Bo Li:
Recapture as You Want. - Samrat Mukhopadhyay, Mrityunjoy Chakraborty:
Modified Hard Thresholding Pursuit with Regularization Assisted Support Identification. - Onur Dizdar, Yijie Mao, Wei Han, Bruno Clerckx:
Rate-Splitting Multiple Access: A New Frontier for the PHY Layer of 6G. - Maria Janina Sarol, Ly Dinh, Rezvaneh Rezapour, Chieh-Li Chin, Pingjing Yang, Jana Diesner:
An Empirical Methodology for Detecting and Prioritizing Needs during Crisis Events. - Bilal Ali Ahmad:
Real time Detection of Spectre and Meltdown Attacks Using Machine Learning. - Kai Sauerwald, Jonas Haldimann, Martin von Berg, Christoph Beierle:
Descriptor Revision for Conditionals: Literal Descriptors and Conditional Preservation. - Kai-Cheng Yang, Pik-Mai Hui, Filippo Menczer:
How Twitter Data Sampling Biases U.S. Voter Behavior Characterizations. - Chen Hajaj, Nitay Hason, Nissim Harel, Amit Dvir:
Less is More: Robust and Novel Features for Malicious Domain Detection. - Vladimir A. Kazeev, Ivan V. Oseledets, Maksim Rakhuba, Christoph Schwab:
Quantized tensor FEM for multiscale problems: diffusion problems in two and three dimensions. - Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem:
Perturbation Analysis of Gradient-based Adversarial Attacks. - Seungwhan Moon, Satwik Kottur, Paul A. Crook, Ankita De, Shivani Poddar, Theodore Levin, David Whitney, Daniel Difranco, Ahmad Beirami, Eunjoon Cho, Rajen Subba, Alborz Geramifard:
Situated and Interactive Multimodal Conversations. - Arun Baby, Saranya Vinnaitherthan, Nagaraj Adiga, Pranav Jawale, Sumukh Badam, Sharath Adavanne, Srikanth Konjeti:
An ASR Guided Speech Intelligibility Measure for TTS Model Selection. - Xibin Song, Yuchao Dai, Dingfu Zhou, Liu Liu, Wei Li, Hongdong Li, Ruigang Yang:
Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution. - Emmanouil Rigas, Panayiotis Kolios, Georgios Ellinas:
Extending the Multiple Traveling Salesman Problem for Scheduling a Fleet of Drones Performing Monitoring Missions. - Julien Launay, Iacopo Poli, Kilian Müller, Igor Carron, Laurent Daudet, Florent Krzakala, Sylvain Gigan:
Light-in-the-loop: using a photonics co-processor for scalable training of neural networks. - Zhenhao Wu, Jiashuo Zhang, Jianbo Gao, Yue Li, Qingshan Li, Zhi Guan, Zhong Chen:
Kaya: A Testing Framework for Blockchain-based Decentralized Applications. - Xinyi Jiang, Xiaoyu Liu, Riqing Chen, Yuntian Wang, Feng Shu, Jiangzhou Wang:
Efficient Receive Beamformers for Secure Spatial Modulation against a Malicious Full-duplex Attacker with Eavesdropping Ability. - Yaodong Yang, Ying Wen, Liheng Chen, Jun Wang, Kun Shao, David Mguni, Weinan Zhang:
Multi-Agent Determinantal Q-Learning. - Samir Aberkane, Vasile Dragan:
On the existence of the stabilizing solution of generalized Riccati equations arising in zero sum stochastic difference games: The time-varying case. - Andreas Pavlogiannis:
The Fine-Grained Complexity of Andersen's Pointer Analysis. - (Withdrawn) Cross-Domain Imitation Learning with a Dual Structure.
- Gilles Audemard, Loïc Paulevé, Laurent Simon:
SAT Heritage: a community-driven effort for archiving, building and running more than thousand SAT solvers. - Graham W. Van Goffrier, Cyrus Mostajeran, Rodolphe Sepulchre:
Inductive Geometric Matrix Midranges. - Panagiotis Gkikopoulos, Josef Spillner, Valerio Schiavoni:
Monitoring Data Distribution and Exploitation in a Global-Scale Microservice Artefact Observatory. - Emmanouil Fountoulakis, Themistoklis Charalambous, Nikolaos Nomikos, Nikolaos Pappas:
Information Freshness and Packet Drop Rate Interplay in a Two-User Multi-Access Channel. - Erik Burman, Peter Hansbo, Mats G. Larson:
A cut finite element method for a model of pressure in fractured media. - Shuhuang Xiang:
Convergence rates of spectral orthogonal projection approximation for functions of algebraic and logarithmatic regularities. - Stefan Hochwarter, Pierre Tangermann, Martin Heinze, Julian Schwarz:
Psychiatric Home Treatment for Inpatient Care - Design, Implementation and Participation. - Thomas Müller, Fabrice Rousselle, Jan Novák, Alexander Keller:
Neural Control Variates. - Mohamad Yaser Jaradeh, Markus Stocker, Sören Auer:
Question Answering on Scholarly Knowledge Graphs. - Sandra Dylus:
Effectful Programming in Declarative Languages with an Emphasis on Non-Determinism: Applications and Formal Reasoning. - Sampo Pyysalo, Jenna Kanerva, Antti Virtanen, Filip Ginter:
WikiBERT models: deep transfer learning for many languages. - Basheer Al-Duwairi, Öznur Özkasap, Ahmet Uysal, Ceren Kocaogullar, Kaan Yildirim:
LogDos: A Novel Logging-based DDoS Prevention Mechanism in Path Identifier-Based Information Centric Networks. - Christian Frese, Angelika Zube, Christian Frey:
Workspace monitoring and planning for safe mobile manipulation. - José Elias Laier:
Dispersion and spurious reflections of viscoelastic wave. - Weibin Ma, Lena Mashayekhy:
Truthful Computation Offloading Mechanisms for Edge Computing. - (Withdrawn) A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking.
- Maximilian Bauer, Mario Bebendorf, Bernd Feist:
Kernel-independent adaptive construction of H2-matrix approximations. - Mustafa Umit Oner, Jared Marc Song Kye-Jet, Hwee Kuan Lee, Wing-Kin Sung:
Studying The Effect of MIL Pooling Filters on MIL Tasks. - Jouni Luoma, Sampo Pyysalo:
Exploring Cross-sentence Contexts for Named Entity Recognition with BERT. - Ruben Wiersma, Elmar Eisemann, Klaus Hildebrandt:
CNNs on Surfaces using Rotation-Equivariant Features. - Michael Fairbank, Spyridon Samothrakis:
Deep Learning in Target Space. - Johan M. M. van Rooij:
Fast Algorithms for Join Operations on Tree Decompositions. - Hou Pong Chan, Wang Chen, Irwin King:
A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss. - Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Mikel Artetxe:
Training Multilingual Machine Translation by Alternately Freezing Language-Specific Encoders-Decoders. - Peter Hillmann, Tobias Uhlig, Gabi Dreo Rodosek, Oliver Rose:
A Novel Approach to Solve K-Center Problems with Geographical Placement. - Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw:
Optimizing carbon tax for decentralized electricity markets using an agent-based model. - Damien Sileo, Tim Van de Cruys, Camille Pradel, Philippe Muller:
DiscSense: Automated Semantic Analysis of Discourse Markers. - Chang Cai, Huiyuan Yang, Xiaojun Yuan, Ying-Chang Liang:
Two-Timescale Optimization for Intelligent Reflecting Surface Aided D2D Underlay Communication. - Nathan E. Frick:
An Informal Introduction to Multiplet Neural Networks. - Mariya Bessonov, Dima Grigoriev, Vladimir Shpilrain:
Probability theory and public-key cryptography. - Sander Huyghebaert, Thomas Van Strydonck, Steven Keuchel, Dominique Devriese:
Uninitialized Capabilities. - Quentin Cappart, Thierry Moisan, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, André Augusto Ciré:
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization. - Stefan Hörmann, Martin Knoche, Gerhard Rigoll:
A Multi-Task Comparator Framework for Kinship Verification. - Aina Niemetz, Mathias Preiner:
Bitwuzla at the SMT-COMP 2020. - Manuel Kauers, Jakob Moosbauer:
Good pivots for small sparse matrices. - Bilal Abu-Salih, Marwan Al-Tawil, Ibrahim Aljarah, Hossam Faris, Pornpit Wongthongtham:
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding. - Peng Wang, Dongyang Liu, Hui Li, Qi Wu:
Give Me Something to Eat: Referring Expression Comprehension with Commonsense Knowledge. - Chengjian Sun, Changyang She, Chenyang Yang:
Optimizing Ultra-Reliable and Low-Latency Communication Systems with Unsupervised Learning. - Ioannis Arapakis, Luis A. Leiva:
Learning Efficient Representations of Mouse Movements to Predict User Attention. - Genta Kobayashi, Hayaru Shouno:
Interpretation of ResNet by Visualization of Preferred Stimulus in Receptive Fields. - Zhongliang Jiang, Long Lei, Yu Sun, Xiaozhi Qi, Ying Hu, Bing Li, Nassir Navab, Jianwei Zhang:
Model-Based Compensation of Moving Tissue for State Recognition in Robotic-Assisted Pedicle Drilling. - Spyridon Mastorakis, Tianxiang Li, Lixia Zhang:
DAPES: Named Data for Off-the-Grid File Sharing with Peer-to-Peer Interactions. - Loren Lugosch, Derek Nowrouzezahrai, Brett H. Meyer:
Surprisal-Triggered Conditional Computation with Neural Networks. - Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Martin O'Reilly, Georgiana Ifrim:
Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic Representations. - Xavier Alameda-Pineda, Vincent Drouard, Radu Horaud:
Variational Inference and Learning of Piecewise-linear Dynamical Systems. - Corrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi:
Learning Opinion Dynamics From Social Traces. - Francesco Vatalaro, Gianfranco Ciccarella:
A network paradigm for very high capacity mobile and fixed telecommunications ecosystem sustainable evolution. - Niklas Heim, Tomás Pevný, Václav Smídl:
Neural Power Units. - Zaida Zhou, Chaoran Zhuge, Xinwei Guan, Wen Liu:
Channel Distillation: Channel-Wise Attention for Knowledge Distillation. - Shasha Guo, Lei Wang, Xiaofan Chen, Limeng Zhang, Ziyang Kang, Weixia Xu:
SeqXFilter: A Memory-efficient Denoising Filter for Dynamic Vision Sensors. - Danny Hucke, Markus Lohrey, Louisa Seelbach Benkner:
A Comparison of Empirical Tree Entropies. - Tierui Gong, Zhijia Yang, Meng Zheng, Zhifeng Liu, Gengshan Wang:
Compressive Subspace Learning with Antenna Cross-correlations for Wideband Spectrum Sensing. - Shiliang Zhang, Zhifu Gao, Haoneng Luo, Ming Lei, Jie Gao, Zhijie Yan, Lei Xie:
Streaming Chunk-Aware Multihead Attention for Online End-to-End Speech Recognition. - Zhifu Gao, Shiliang Zhang, Ming Lei, Ian McLoughlin:
SAN-M: Memory Equipped Self-Attention for End-to-End Speech Recognition. - Alireza Saleh Sedghpour, Mohammad Reza Saleh Sedghpour:
Web Document Categorization Using Naive Bayes Classifier and Latent Semantic Analysis. - Zhenyuan Li, Qi Alfred Chen, Runqing Yang, Yan Chen:
Threat Detection and Investigation with System-level Provenance Graphs: A Survey. - Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl, Bernhard Sick:
Toward Optimal Probabilistic Active Learning Using a Bayesian Approach. - Adrien Bolland, Ioannis Boukas, François Cornet, Mathias Berger, Damien Ernst:
Learning optimal environments using projected stochastic gradient ascent. - Riley Borgard, Steven N. Harding, Haley Duba, Chloe M. Makdad, Jay Mayfield, Randal Tuggle, Eric Weber:
Accelerating the Distributed Kaczmarz Algorithm by Strong Over-relaxation. - Steven L. Song, Weiqi Shi, Michael Reed:
Accurate Face Rig Approximation with Deep Differential Subspace Reconstruction. - Allard Oelen, Mohamad Yaser Jaradeh, Markus Stocker, Sören Auer:
Generate FAIR Literature Surveys with Scholarly Knowledge Graphs. - Jinani Sooriyaarachchi, Suranga Seneviratne, Kanchana Thilakarathna, Albert Y. Zomaya:
MusicID: A Brainwave-based User Authentication System for Internet of Things. - Francesco Cosentino, Harald Oberhauser, Alessandro Abate:
A Randomized Algorithm to Reduce the Support of Discrete Measures. - Henri Aare, Peter Vitols:
The Ritva Blockchain: Enabling Confidential Transactions at Scale. - Atilla Özgür, Sevim Seda Yamaç:
Modelling of daily reference evapotranspiration using deep neural network in different climates. - Matthew J. Colbrook, Andrew Horning, Alex Townsend:
Computing spectral measures of self-adjoint operators. - Lily Hu, Issa Kohler-Hausmann:
What's Sex Got To Do With Fair Machine Learning? - Richard Jumar, Heiko Maaß, Benjamin Schäfer, Leonardo Rydin Gorjão, Veit Hagenmeyer:
Power grid frequency data base. - Angelika Skarysz, Dahlia Salman, Michael Eddleston, Martin Sykora, Eugénie Hunsicker, William H. Nailon, Kareen Darnley, Duncan B. McLaren, C. L. Paul Thomas, Andrea Soltoggio:
Fast and automated biomarker detection in breath samples with machine learning. - André Bourdoux, André Noll Barreto, Barend van Liempd, Carlos H. M. de Lima, Davide Dardari, Didier Belot, Elena Simona Lohan, Gonzalo Seco-Granados, Hadi Sarieddeen, Henk Wymeersch, Jaakko Suutala, Jani Saloranta, Maxime Guillaud, Minna Isomursu, Mikko Valkama, Muhammad Reza Kahar Aziz, Rafael Berkvens, Tachporn Sanguanpuak, Tommy Svensson, Yang Miao:
6G White Paper on Localization and Sensing. - Rahat Yeasin Emon:
A Novel Nudity Detection Algorithm for Web and Mobile Application Development. - Will Dabney, Georg Ostrovski, André Barreto:
Temporally-Extended ε-Greedy Exploration. - Vahid Yazdanpanah, Devrim Murat Yazan, W. Henk Zijm:
Coordinating Multiagent Industrial Symbiosis. - Daniel T. Chang:
Geometric Graph Representations and Geometric Graph Convolutions for Deep Learning on Three-Dimensional (3D) Graphs. - Dimitrios Michael Manias, Hassan Hawilo, Manar Jammal, Abdallah Shami:
Depth-Optimized Delay-Aware Tree (DO-DAT) for Virtual Network Function Placement. - A. F. M. Shahab Uddin, Mst. Sirazam Monira, Wheemyung Shin, TaeChoong Chung, Sung-Ho Bae:
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization. - Merlin Carl:
Number Theory and Axiomatic Geometry in the Diproche System. 56-78 - Marco Ancona, Cengiz Öztireli, Markus Gross:
Shapley Value as Principled Metric for Structured Network Pruning. - Patrick Rosenberger, Akansel Cosgun, Rhys Newbury, Jun Kwan, Valerio Ortenzi, Peter Corke, Manfred Grafinger:
Object-Independent Human-to-Robot Handovers using Real Time Robotic Vision. - Girish Joshi:
Robust and Precision Satellite Formation Flying Guidance Using Adaptive Optimal Control Techniques. - Emre Ozfatura, Baturalp Buyukates, Deniz Gündüz, Sennur Ulukus:
Age-Based Coded Computation for Bias Reduction in Distributed Learning. - Haw-minn Lu, Adrian Kwong, José Unpingco:
Securing Your Collaborative Jupyter Notebooks in the Cloud using Container and Load Balancing Services. - Francesco Cosentino, Harald Oberhauser, Alessandro Abate:
Acceleration of Descent-based Optimization Algorithms via Carathéodory's Theorem. - Adnan Aijaz:
Private 5G: The Future of Industrial Wireless. - Djamal Belazzougui, Gregory Kucherov:
Efficient tree-structured categorical retrieval. - Reinhard Diestel:
Tangles: a new paradigm for clusters and types. - Joel Chacon, Sean McKeown, Richard Macfarlane:
Towards Identifying Human Actions, Intent, and Severity of APT Attacks Applying Deception Techniques - An Experiment. - Zhigang Kan, Linbo Qiao, Sen Yang, Feng Liu, Feng Huang:
Event Arguments Extraction via Dilate Gated Convolutional Neural Network with Enhanced Local Features. - Reid McIlroy-Young, Siddhartha Sen, Jon M. Kleinberg, Ashton Anderson:
Aligning Superhuman AI and Human Behavior: Chess as a Model System. - Hussein Mozannar, David A. Sontag:
Consistent Estimators for Learning to Defer to an Expert. - Alexander Engelmann, Yuning Jiang, Henrieke Benner, Ruchuan Ou, Boris Houska, Timm Faulwasser:
ALADIN-α - An open-source MATLAB toolbox for distributed non-convex optimization. - Eli Goldweber, Nuda Zhang, Manos Kapritsos:
On the Significance of Consecutive Ballots in Paxos. - Zhuoran Liu, Martha A. Larson:
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start. - Paulius Dilkas, Vaishak Belle:
Generating Random Logic Programs Using Constraint Programming. - Zhenwei Liu, Ali Saberi, Anton A. Stoorvogel, Donya Nojavanzadeh:
Scale-free H2 Almost State Synchronization for Homogeneous Networks of Non-Introspective Agents. - Lincen Yang, Mitra Baratchi, Matthijs van Leeuwen:
Unsupervised Discretization by Two-dimensional MDL-based Histogram. - Pengsheng Guo, Chen-Yu Lee, Daniel Ulbricht:
Learning to Branch for Multi-Task Learning. - Stefan Hoffmann:
On a Class of Constrained Synchronization Problems in NP. - Ashok K. Goel:
AI-Powered Learning: Making Education Accessible, Affordable, and Achievable. - Emiel Hoogeboom, Victor Garcia Satorras, Jakub M. Tomczak, Max Welling:
The Convolution Exponential and Generalized Sylvester Flows. - Ethan Gotlieb Wilcox, Jon Gauthier, Jennifer Hu, Peng Qian, Roger Levy:
On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior. - Jason Ingyu Choi, Eugene Agichtein:
Quantifying the Effects of Prosody Modulation on User Engagement and Satisfaction in Conversational Systems. - Jason Ingyu Choi, Ali Ahmadvand, Eugene Agichtein:
Offline and Online Satisfaction Prediction in Open-Domain Conversational Systems. - Kooktae Lee:
Asynchronous Distributed Averaging: A Switched System Framework for Average Error Analysis. - Harshita Sahijwani, Jason Ingyu Choi, Eugene Agichtein:
Would You Like to Hear the News? Investigating Voice-BasedSuggestions for Conversational News Recommendation. - Noga Alon, Yossi Azar, Danny Vainstein:
Hierarchical Clustering: a 0.585 Revenue Approximation. - Arnold Reusken, Benjamin Stamm:
Analysis of the Schwarz domain decomposition method for the conductor-like screening continuum model. - Vaibhav Kumar, Tenzin Singhay Bhotia, Tanmoy Chakraborty:
Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings. - Chinmaya Patnayak, Pradipta Roy, Bibekanand Patnaik:
A New Chaos and Permutation Based Algorithm for Image and Video Encryption. - Shuxing Li, Wilfried Meidl, Alexandr Polujan, Alexander Pott, Constanza Riera, Pantelimon Stanica:
Vanishing Flats: A Combinatorial Viewpoint on the Planarity of Functions and Their Application. - Dogucan Yaman, Fevziye Irem Eyiokur, Hazim Kemal Ekenel:
Ear2Face: Deep Biometric Modality Mapping. - Aditya Dhar, Jason Huang:
Designing Differentially Private Estimators in High Dimensions. - Damian Campo, Giulia Slavic, Mohamad Baydoun, Lucio Marcenaro, Carlo S. Regazzoni:
Continual Learning of Predictive Models in Video Sequences via Variational Autoencoders. - Cheuk Ting Li:
Asymptotically Scale-invariant Multi-resolution Quantization. - Jacky Liang, Saumya Saxena, Oliver Kroemer:
Learning Active Task-Oriented Exploration Policies for Bridging the Sim-to-Real Gap. - Muhammad Hafizhuddin Hilman, Maria Alejandra Rodriguez, Rajkumar Buyya:
Workflow-as-a-Service Cloud Platform and Deployment of Bioinformatics Workflow Applications. - Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Kui Wu:
Nucleus Decomposition in Probabilistic Graphs: Hardness and Algorithms. - Miguel Jaques, Michael Burke, Timothy M. Hospedales:
NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces. - Shiwali Mohan, Matthew Klenk, Matthew Shreve, Kent Evans, Aaron Ang, John Maxwell III:
Characterizing an Analogical Concept Memory for Newellian Cognitive Architectures. - Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial:
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. - Cenek Albl, Zuzana Kukelova, Viktor Larsson, Tomás Pajdla, Konrad Schindler:
From two rolling shutters to one global shutter. - Ella Rabinovich, Yang Xu, Suzanne Stevenson:
The Typology of Polysemy: A Multilingual Distributional Framework. - Jiabao Wang, Yang Li, Shanshan Jiao, Zhuang Miao, Rui Zhang:
Grafted network for person re-identification. - Johannes M. van Hulst, Faegheh Hasibi, Koen Dercksen, Krisztian Balog, Arjen P. de Vries:
REL: An Entity Linker Standing on the Shoulders of Giants. - Joshua Garland, Keyan Ghazi-Zahedi, Jean-Gabriel Young, Laurent Hébert-Dufresne, Mirta Galesic:
Countering hate on social media: Large scale classification of hate and counter speech. - Ruoxu Cen, Yu Cheng, Debmalya Panigrahi, Kevin Sun:
Sparsification of Directed Graphs via Cut Balance. - Vidal Attias, Luigi Vigneri, Vassil S. Dimitrov:
Preventing Denial of Service Attacks in IoT Networks through Verifiable Delay Functions. - Jack D. Kendall, Ross D. Pantone, Kalpana Manickavasagam, Yoshua Bengio, Benjamin Scellier:
Training End-to-End Analog Neural Networks with Equilibrium Propagation. - Jyot R. Buch, Peter Seiler:
Finite Horizon Robust Synthesis Using Integral Quadratic Constraints. - Yuquan Wang, Niels Dehio, Arnaud Tanguy, Abderrahmane Kheddar:
Impact-Aware Task-Space Quadratic-Programming Control. - Benny Gamus, Amir D. Gat, Yizhar Or:
Inertial Inchworm Crawling. - Saeid Tizpaz-Niari, Pavol Cerný, Ashutosh Trivedi:
Detecting and Understanding Real-World Differential Performance Bugs in Machine Learning Libraries. - Chase Smith, Alex Rusnak:
Dynamic Merkle B-tree with Efficient Proofs. - Virapat Kieuvongngam, Bowen Tan, Yiming Niu:
Automatic Text Summarization of COVID-19 Medical Research Articles using BERT and GPT-2. - Nemanja Djuric, Henggang Cui, Zhaoen Su, Shangxuan Wu, Huahua Wang, Fang-Chieh Chou, Luisa San Martin, Song Feng, Rui Hu, Yang Xu, Alyssa Dayan, Sidney Zhang, Brian C. Becker, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington:
MultiXNet: Multiclass Multistage Multimodal Motion Prediction. - Alexander Cao, Yuan Luo, Diego Klabjan:
Open-Set Recognition with Gaussian Mixture Variational Autoencoders. - Chase Smith, Alex Rusnak:
Proximity-based Networking: Small world overlays optimized with particle swarm optimization. - Junhong Xu, Kai Yin, Lantao Liu:
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes. - Furkan Ercan, Thibaud Tonnellier, Carlo Condo, Warren J. Gross:
Operation Merging for Hardware Implementations of Fast Polar Decoders. - Xuebo Liu, Houtim Lai, Derek F. Wong, Lidia S. Chao:
Norm-Based Curriculum Learning for Neural Machine Translation. - Ti-Chung Lee, Ying Tan, Youfeng Su, Iven Mareels:
Invariance Principles and Observability in Switched Systems with an Application in Consensus. - Peter Englert, Isabel M. Rayas Fernández, Ragesh K. Ramachandran, Gaurav S. Sukhatme:
Sampling-Based Motion Planning on Manifold Sequences. - Wensi Tang, Lu Liu, Guodong Long:
Interpretable Time-series Classification on Few-shot Samples. - Lingzhi Zhang, Jiancong Wang, Yinshuang Xu, Jie Min, Tarmily Wen, James C. Gee, Jianbo Shi:
Nested Scale Editing for Conditional Image Synthesis. - Ting-Cian Bai, Chin-Ya Huang:
SD-FFR: Software Defined Fast Failure Recovery Mechanism in the Automatic Warehouse. - Evangelos Spiliotis, Mahdi Abolghasemi, Rob J. Hyndman, Fotios Petropoulos, Vassilios Assimakopoulos:
Hierarchical forecast reconciliation with machine learning. - Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo:
Fairness-Aware Explainable Recommendation over Knowledge Graphs. - Haoyang Cao, Xin Guo:
Approximation and convergence of GANs training: an SDE approach. - Ronen Gradwohl, Niklas Hahn, Martin Hoefer, Rann Smorodinsky:
Reaping the Informational Surplus in Bayesian Persuasion. - Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez:
FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function. - Qiyao Deng, Jie Cao, Yunfan Liu, Zhenhua Chai, Qi Li, Zhenan Sun:
Reference Guided Face Component Editing. - Davood Ghatreh Samani, Chavit Denninnart, Josef Bacik, Mohsen Amini Salehi:
The Art of CPU-Pinning: Evaluating and Improving the Performance of Virtualization and Containerization Platforms. - Xiuqiang He, Hua Geng:
Transient Stability of Power Systems Integrated with VSCs. - Jun Zhang, Jia Zhao, JinRong Wang:
A Non-uniform Time-stepping Convex Splitting Scheme for the Time-fractional Cahn-Hilliard Equation. - Noriaki Hirose, Satoshi Koide, Keisuke Kawano, Ruho Kondo:
PLG-IN: Pluggable Geometric Consistency Loss with Wasserstein Distance in Monocular Depth Estimation. - Nadia Labai, Magdalena Ortiz, Mantas Simkus:
An ExpTime Upper Bound for ALC with Integers (Extended Version). - Jérôme Bolte, Edouard Pauwels:
A mathematical model for automatic differentiation in machine learning. - Olivier Bailleux, Yacine Boufkhad:
Constraint Reductions. - Johnu George, Ce Gao, Richard Liu, Hou Gang Liu, Yuan Tang, Ramdoot Pydipaty, Amit Kumar Saha:
A Scalable and Cloud-Native Hyperparameter Tuning System. - Maël Fabien, Seyyed Saeed Sarfjoo, Petr Motlícek, Srikanth R. Madikeri:
Improving Speaker Identification using Network Knowledge in Criminal Conversational Data. - Tor Inge Reigstad, Kjetil Uhlen:
Nonlinear Model Predictive Control of Variable Speed Hydropower for Provision of Fast Frequency Reserves. - Tiberiu T. Cocias, Alexandru Razvant, Sorin Mihai Grigorescu:
GFPNet: A Deep Network for Learning Shape Completion in Generic Fitted Primitives. - Gang Yang, Yating Liao, Ying-Chang Liang, Olav Tirkkonen:
Reconfigurable Intelligent Surface Empowered Underlaying Device-to-Device Communication. - Arkaitz Zubiaga:
Exploiting Class Labels to Boost Performance on Embedding-based Text Classification. - Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi:
Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules. - Marinos Charalambides, Daphné Tuncer, Ning Wang, George Pavlou:
KCN: Knowledge Centric Networking. - Tim Y. Tang, Daniele De Martini, Shangzhe Wu, Paul Newman:
Self-Supervised Localisation between Range Sensors and Overhead Imagery. - Igor Kviatkovsky, Nadav Bhonker, Gérard G. Medioni:
From Real to Synthetic and Back: Synthesizing Training Data for Multi-Person Scene Understanding. - Dimos Tzoumanikas, Felix Graule, Qingyue Yan, Dhruv Shah, Marija Popovic, Stefan Leutenegger:
Aerial Manipulation Using Hybrid Force and Position NMPC Applied to Aerial Writing. - Boris Mocialov, Graham Turner, Helen F. Hastie:
Towards Large-Scale Data Mining for Data-Driven Analysis of Sign Languages. - Takuya Mieno, Kiichi Watanabe, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
Computing Palindromic Trees for a Sliding Window and Its Applications. - Noble Saji Mathews, Sridhar Chimalakonda, Suresh Jain:
AiR - An Augmented Reality Application for Visualizing Air Pollution. - Soyoung Yoo, Sunghee Lee, Seongsin Kim, Kwang Hyeon Hwang, Jong Ho Park, Namwoo Kang:
Integrating Deep Learning into CAD/CAE System: Case Study on Road Wheel Design Automation. - Liang Chen, Kostyantyn Y. Sirenko, Hakan Bagci:
An Efficient Discontinuous Galerkin Scheme for Simulating Terahertz Photoconductive Devices with Periodic Nanostructures. - Yu-Chin Chan, Faez Ahmed, Liwei Wang, Wei Chen:
METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design. - Boris Mocialov, Graham Turner, Helen F. Hastie:
Transfer Learning for British Sign Language Modelling. - Riccardo Aragona, Roberto Civino, Norberto Gavioli, Marco Pugliese:
An Authenticated Key Scheme over Elliptic Curves for Topological Networks. - Oliver J. Wieczorek, Mark Wittek, Raphael Heiko Heiberger:
Being published successfully or getting arXived? The importance of social capital and interdisciplinary collaboration for getting printed in a high impact journal in Physics. - Carlo Curino, Neha Godwal, Brian Kroth, Sergiy Kuryata, Greg Lapinski, Siqi Liu, Slava Oks, Olga Poppe, Adam Smiechowski, Ed Thayer, Markus Weimer, Yiwen Zhu:
MLOS: An Infrastructure for Automated Software Performance Engineering. - Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak:
Interpolation-based semi-supervised learning for object detection. - Xuan-Phi Nguyen, Shafiq R. Joty, Wu Kui, Ai Ti Aw:
Multi-Agent Cross-Translated Diversification for Unsupervised Machine Translation. - Jiawei Shao, Jun Zhang:
Communication-Computation Trade-Off in Resource-Constrained Edge Inference. - Jinghai Rao, Dimitar Dimitrov, Paul Hofmann, Norman M. Sadeh:
A Mixed Initiative Semantic Web Framework for Process Composition. - Alessandro Suglia, Ioannis Konstas, Andrea Vanzo, Emanuele Bastianelli, Desmond Elliott, Stella Frank, Oliver Lemon:
CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning. - Allan Grønlund, Lior Kamma, Kasper Green Larsen:
Near-Tight Margin-Based Generalization Bounds for Support Vector Machines. - Lixiang Ru, Bo Du, Chen Wu:
Multi-Temporal Scene Classification and Scene Change Detection with Correlation based Fusion. - (Withdrawn) Information Consumption and Social Response in a Segregated Environment: the Case of Gab.
- Katarína Cechlárová, Ágnes Cseh, Zsuzsanna Jankó, Marián Kires, Lukás Mino:
A quest for a fair schedule: The Young Physicists' Tournament. - Fabrizia Corona, Alex De Vita, Giovanni Filocamo, Michaela Foà, Pier Luca Lanzi, Amalia Lopopolo, Antonella Petaccia:
Lower Limb Rehabilitation in Juvenile Idiopathic Arthritis using Serious Games. - Aditya Mehta, Arun Paudyal, Atul Sharma, Zyanya Ambros, Ipek Baris, Jun Sun, Oul Han, Akram Sadat Hosseini:
Does the First Mover Advantage Exist on GitHub? - Wilmer Ariza Ramirez, Jus Kocijan, Zhi Quan Leong, Hung Duc Nguyen, Shantha Gamini Jayasinghe:
Dynamic System Identification of Underwater Vehicles Using Multi-Output Gaussian Processes. - Shicong Liu, Zhen Gao, Jun Zhang, Marco Di Renzo, Mohamed-Slim Alouini:
Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces. - Dimitur Krustev:
Controlling the Size of Supercompiled Programs using Multi-result Supercompilation. - Thi Thanh Van Nguyen, Manh Duong Phung, Dinh Tuan Pham, Quang Vinh Tran:
Development of a Fuzzy-based Patrol Robot Using in Building Automation System. - Sebastian Garcia-Valencia:
Cross entropy as objective function for music generative models. - Jonas Ellert, Johannes Fischer, Nodari Sitchinava:
LCP-Aware Parallel String Sorting. - Andriy Serdega, Dae-Shik Kim:
Variational Mutual Information Maximization Framework for VAE Latent Codes with Continuous and Discrete Priors. - Sanket Tavarageri, Alexander Heinecke, Sasikanth Avancha, Gagandeep Goyal, Ramakrishna Upadrasta, Bharat Kaul:
PolyDL: Polyhedral Optimizations for Creation of High Performance DL primitives. - Naveen Karunanayake, Jathushan Rajasegaran, Ashanie Gunathillake, Suranga Seneviratne, Guillaume Jourjon:
A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps: A Case Study on Google Play Store. - Mehmet Karaca:
Joint optimization of TWT mechanism and scheduling for IEEE 802.11ax. - Shishir Nagaraja:
Unlinking super-linkers: the topology of epidemic response (Covid-19). - Will Dabney, André Barreto, Mark Rowland, Robert Dadashi, John Quan, Marc G. Bellemare, David Silver:
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning. - Yaniv Shulman:
SimPool: Towards Topology Based Graph Pooling with Structural Similarity Features. - Marco Forgione, Dario Piga:
dynoNet: a neural network architecture for learning dynamical systems. - Dmitry Igorevich Sorokin, Alexander E. Ulanov, Ekaterina A. Sazhina, Alexander I. Lvovsky:
Interferobot: aligning an optical interferometer by a reinforcement learning agent. - Alex Bespalov, Dirk Praetorius, Michele Ruggeri:
Two-level a posteriori error estimation for adaptive multilevel stochastic Galerkin FEM. - Catarina Moreira, Matheus Hammes, Rasim Serdar Kurdoglu, Peter Bruza:
QuLBIT: Quantum-Like Bayesian Inference Technologies for Cognition and Decision. - Chris Xiaoxuan Lu, Muhamad Risqi Utama Saputra, Peijun Zhao, Yasin Almalioglu, Pedro P. B. de Gusmao, Changhao Chen, Ke Sun, Niki Trigoni, Andrew Markham:
milliEgo: mmWave Aided Egomotion Estimation with Deep Sensor Fusion. - Junaid Malik, Serkan Kiranyaz, Moncef Gabbouj:
FastONN - Python based open-source GPU implementation for Operational Neural Networks. - Kerim Gökarslan:
Menes: Towards a Generic, Fully-Automated Test and Validation Platform for Wireless Networks. - Cedric Aaron Beschle, Balázs Kovács:
Error estimates for general non-linear Cahn-Hilliard equations on evolving surfaces. - Zhipeng Yang, Xinping Gui, Ju Ming, Guanghui Hu:
Bayesian Approach to Inverse Time-harmonic Acoustic Scattering from Sound-soft Obstacles with Phaseless Data.