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ORCIDCoRR, November 2020
- Guillaume Ducoffe:
Distance problems within Helly graphs and k-Helly graphs.
- Juan Liao, Wei Liu, Xiaoyan Wang:
Truncated Milstein method for non-autonomous stochastic differential equations and its modification. - Florent Foucaud, Shih-Shun Kao, Ralf Klasing, Mirka Miller, Joe Ryan:
Monitoring the edges of a graph using distances. - Ruben Grandia, Andrew J. Taylor, Aaron D. Ames, Marco Hutter:
Multi-Layered Safety for Legged Robots via Control Barrier Functions and Model Predictive Control. - Xutai Ma, Yongqiang Wang, Mohammad Javad Dousti, Philipp Koehn, Juan Miguel Pino:
Streaming Simultaneous Speech Translation with Augmented Memory Transformer. - Cassie Meeker, Michaela Fraser, Sangwoo Park, Ava Chen, Lynne M. Weber, Mitchell Miya, Joel Stein, Matei T. Ciocarlie:
Semi-Supervised Intent Inferral Using Ipsilateral Biosignals on a Hand Orthosis for Stroke Subjects. - Matthew Schwall, Tom Daniel, Trent Victor, Francesca Favaro, Henning Hohnhold:
Waymo Public Road Safety Performance Data. - Zhengyuan Yang, Amanda Kay, Yuncheng Li, Wendi Cross, Jiebo Luo:
Pose-based Body Language Recognition for Emotion and Psychiatric Symptom Interpretation. - Timon S. Gutleb
, José A. Carrillo, Sheehan Olver:
Computing Equilibrium Measures with Power Law Kernels. - Lucky Qiaofeng Li, Xizhi Su:
Numerical Method for a Class of Algebraic Riccati Equations. - Timothy Nguyen, Zhourong Chen, Jaehoon Lee:
Dataset Meta-Learning from Kernel Ridge-Regression. - Asmit Kumar Singh, Paras Mehan, Divyanshu Sharma, Rohan Pandey, Tavpritesh Sethi, Ponnurangam Kumaraguru:
(Un)Masked COVID-19 Trends from Social Media. - Nick Webb, Dan Smith, Christopher Ludwick, Trent Victor, Qi Hommes, Francesca Favaro, George Ivanov, Tom Daniel:
Waymo's Safety Methodologies and Safety Readiness Determinations. - Harshit Jain, Nishant Raj, Suyash Mishra:
A Sui Generis QA Approach using RoBERTa for Adverse Drug Event Identification. - Marzieh Fadaee, Olga Gureenkova, Fernando Rejon Barrera, Carsten Schnober, Wouter Weerkamp, Jakub Zavrel:
A New Neural Search and Insights Platform for Navigating and Organizing AI Research. - Janez Brest, Borko Boskovic:
In Searching of Long Skew-symmetric Binary Sequences with High Merit Factors. - Arissa Wongpanich, Hieu Pham, James Demmel, Mingxing Tan, Quoc V. Le, Yang You, Sameer Kumar:
Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour. - Shahbaz Abdul Khader, Hang Yin, Pietro Falco, Danica Kragic:
Learning Stable Normalizing-Flow Control for Robotic Manipulation. - Yao Yang, Andrew Nam, Mohamad M. Nasr-Azadani, Teresa Tung:
Resource-Aware Pareto-Optimal Automated Machine Learning Platform. - Alaa Alameer Ahmad, Yijie Mao, Aydin Sezgin, Bruno Clerckx:
Rate Splitting Multiple Access in C-RAN: A Scalable and Robust Design. - Olivier Sète, Jan Zur:
The transport of images method: computing all zeros of harmonic mappings by continuation. - John P. Lalor, Hong Yu:
Dynamic Data Selection for Curriculum Learning via Ability Estimation. - Jayadev Acharya, Yuhan Liu, Ziteng Sun:
Estimating Sparse Discrete Distributions Under Local Privacy and Communication Constraints. - Canran Wang, Netanel Raviv:
Low Latency Cross-Shard Transactions in Coded Blockchain. - Dhruvil Gala, Mohammad Omar Khursheed, Hannah Lerner, Brendan O'Connor, Mohit Iyyer:
Analyzing Gender Bias within Narrative Tropes. - Chaitanya Talnikar, Tatiana Likhomanenko, Ronan Collobert, Gabriel Synnaeve:
Joint Masked CPC and CTC Training for ASR. - Yuan Chen, Donglin Zeng, Tianchen Xu, Yuanjia Wang:
Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatments. - Sai Vemprala, Ashish Kapoor:
Adversarial Attacks on Optimization based Planners. - Martin Grohe, Peter Lindner:
Independence in Infinite Probabilistic Databases. - Frank A. Ibarra, Daniel Turizo, César Orozco-Henao, Javier Guerrero:
Generator Controller Tuning Considering Stochastic Load Variation Using Analysis of Variance and Response Surface Method. - Zhongliang Jiang, Zhenyu Li, Matthias Grimm, Mingchuan Zhou, Marco Esposito, Wolfgang Wein, Walter Stechele, Thomas Wendler, Nassir Navab:
Autonomous Robotic Screening of Tubular Structures based only on Real-Time Ultrasound Imaging Feedback. - Lubin Meng, Jian Huang, Zhigang Zeng, Xue Jiang, Shan Yu, Tzyy-Ping Jung, Chin-Teng Lin, Ricardo Chavarriaga, Dongrui Wu:
EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks. - Peiyao Sheng, Bowen Xue, Sreeram Kannan, Pramod Viswanath:
ACeD: Scalable Data Availability Oracle. - Kun Qian, Poornima Chozhiyath Raman, Yunyao Li, Lucian Popa:
Learning Structured Representations of Entity Names using Active Learning and Weak Supervision. - Houcemeddine Turki, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha:
Semantic similarity-based approach to enhance supervised classification learning accuracy. - Nick Karcher, Richard Gebauer, Robin Bauknecht, Rainer Illichmann, Oliver Sander:
Versatile Configuration and Control Framework for Real Time Data Acquisition Systems. - Eugene Vinitsky, Nathan Lichtle, Kanaad Parvate, Alexandre M. Bayen:
Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL. - Tongtong Li, Ivan Yotov:
A mixed elasticity formulation for fluid-poroelastic structure interaction. - Nathan Ng, Marzyeh Ghassemi, Narendran Thangarajan, Jiacheng Pan, Qi Guo:
Improving Dialogue Breakdown Detection with Semi-Supervised Learning. - Manuel Cruz Rodriguez, Victoria Hernández-Mederos, Jorge Estrada-Sarlabous, Eduardo Moreno Hernández, Ahmed Mansur Graverán:
Numerical solution of the wave propagation problem in a plate. - Samarth Gupta, Saurabh Amin:
Integer Programming-based Error-Correcting Output Code Design for Robust Classification. - Guoliang Kang, Yunchao Wei, Yi Yang, Yueting Zhuang, Alexander G. Hauptmann:
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation. - Anindo Saha, Prem Prasad, Abdullah Thabit:
Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation. - Anindo Saha, Fakrul Islam Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo:
Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features. - Azka Muji Burohman, Bart Besselink, Jacquelien M. A. Scherpen, M. Kanat Camlibel:
From data to reduced-order models via moment matching. - Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski:
Deep Reactive Planning in Dynamic Environments. - Xiaowu Dai, Michael I. Jordan:
Learning Strategies in Decentralized Matching Markets under Uncertain Preferences. - Gustavo Zanoni Felipe, Jacqueline Nelisis Zanoni, Camila C. Sehaber-Sierakowski, Gleison D. P. Bossolani, Sara R. G. Souza, Franklin César Flores, Luiz E. S. Oliveira, Rodolfo Miranda Pereira, Yandre M. G. Costa:
Automatic Chronic Degenerative Diseases Identification Using Enteric Nervous System Images. - Huibin Chang, Roland Glowinski, Stefano Marchesini, Xue-Cheng Tai, Yang Wang, Tieyong Zeng:
Overlapping Domain Decomposition Methods for Ptychographic Imaging. - Tao Xu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Longjie Shen, Maoguo Gong:
Differentially Private ADMM Algorithms for Machine Learning. - Esmaeil Seraj, Xiyang Wu, Matthew C. Gombolay:
FireCommander: An Interactive, Probabilistic Multi-agent Environment for Joint Perception-Action Tasks. - Aniruddha Tamhane, Jie Ying Wu, Mathias Unberath:
Multimodal and self-supervised representation learning for automatic gesture recognition in surgical robotics. - Hu Xu, Lei Shu, Philip S. Yu, Bing Liu:
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. - Pinyan Lu, Xuandi Ren, Enze Sun, Yubo Zhang:
Generalized Sorting with Predictions. - Guang Hua, Qingyi Wang, Dengpan Ye, Haijian Zhang:
Reliability of Power System Frequency on Times-Stamping Digital Recordings. - Maoqiang Wu, Xinyue Zhang, Jiahao Ding, Hien Van Nguyen, Rong Yu, Miao Pan, Stephen T. Wong:
Evaluation of Inference Attack Models for Deep Learning on Medical Data. - Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian:
Learning Open Set Network with Discriminative Reciprocal Points. - Shuman Peng, Weilian Song, Martin Ester:
Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification. - Renshu Gu, Gaoang Wang, Jenq-Neng Hwang:
Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated Convolution. - Chen Wei, Yiping Tang, Chuang Niu, Haihong Hu, Yue Wang, Jimin Liang:
Self-supervised Representation Learning for Evolutionary Neural Architecture Search. - Bingxu Li, Fanyong Cheng, Xin Zhang, Can Cui, Wenjian Cai:
A Novel Semi-Supervised Data-Driven Method for Chiller Fault Diagnosis with Unlabeled Data. - Gaofeng Huang, Amir H. Jafari:
Enhanced Balancing GAN: Minority-class Image Generation. - Hancheng Cao, Zhilong Chen, Mengjie Cheng, Shuling Zhao, Tao Wang, Yong Li:
You Recommend, I Buy: How and Why People Engage in Instant Messaging Based Social Commerce. - Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang:
Personalized Multimodal Feedback Generation in Education. - Ali Lotfi-Rezaabad, Rahi Kalantari, Sriram Vishwanath, Mingyuan Zhou, Jonathan I. Tamir:
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference. - Siddhartha Gairola, Francis Tom, Nipun Kwatra, Mohit Jain:
RespireNet: A Deep Neural Network for Accurately Detecting Abnormal Lung Sounds in Limited Data Setting. - Xu Xiang:
The xx205 System for the VoxCeleb Speaker Recognition Challenge 2020. - Junyuan Gao, Yongpeng Wu, Yongjian Wang, Wenjun Zhang, Fan Wei:
Uplink Transmission Design for Crowded Correlated Cell-Free Massive MIMO-OFDM Systems. - Sungyong Baik, Myungsub Choi, Janghoon Choi, Heewon Kim, Kyoung Mu Lee:
Meta-Learning with Adaptive Hyperparameters. - Wenhao Yang, Xiang Li, Guangzeng Xie, Zhihua Zhang:
Finding the Near Optimal Policy via Adaptive Reduced Regularization in MDPs. - Shuyin Xia, Wenhua Li, Guoyin Wang, Xinbo Gao, Changqing Zhang, Elisabeth Giem:
LRA: an accelerated rough set framework based on local redundancy of attribute for feature selection. - Vivek Kumar Singh, Prashasti Singh, Mousumi Karmakar, Jacqueline Leta, Philipp Mayr:
The Journal Coverage of Web of Science, Scopus and Dimensions: A Comparative Analysis. - Haiwen Cao, Pascal O. Vontobel:
Using List Decoding to Improve the Finite-Length Performance of Sparse Regression Codes. - Aniket Bhushan, Vishesh Vatsal, Sri Anish Vutukuri, C. Barath, Abhijit Bannerji:
GTOC X: Karmarkar's Gang's Approach and Results. - Kristina Marner, Stefan Wagner, Guenther Ruhe:
Stakeholder identification for a structured release planning approach in the automotive domain. - Ilia Sucholutsky, Matthias Schonlau:
Optimal 1-NN Prototypes for Pathological Geometries. - Jin-Yuan Wang, Xian-Tao Fu, Rong-Rong Lu, Jun-Bo Wang, Min Lin, Julian Cheng:
Tight Capacity Bounds for Indoor Visible Light Communications With Signal-Dependent Noise. - Bilal Abu-Salih:
Domain-specific Knowledge Graphs: A survey. - Khaled Alanezi, Shivakant Mishra:
An edge-based architecture to support the execution of ambience intelligence tasks using the IoP paradigm. - Sunil Vadera, Salem Ameen:
Methods for Pruning Deep Neural Networks. - Jhonny Mertz, Ingrid Nunes:
A Qualitative Study of Application-level Caching. - Ayesha Afzal, Georg Hager, Gerhard Wellein:
An analytic performance model for overlapping execution of memory-bound loop kernels on multicore CPUs. - Rodrigo Alejandro Chávez Mulsa, Gerasimos Spanakis:
Evaluating Bias In Dutch Word Embeddings. - Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Massimo Poesio:
Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution. - Jhonny Mertz, Ingrid Nunes:
Automation of application-level caching in a seamless way. - Márton Véges, András Lörincz:
Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People. - Rikke Bjerg Jensen:
Fragmented digital connectivity and security at sea. - Nikos Vasilakis, Cristian-Alexandru Staicu, Greg Ntousakis, Konstantinos Kallas, Ben Karel, André DeHon, Michael Pradel:
Mir: Automated Quantifiable Privilege Reduction Against Dynamic Library Compromise in JavaScript. - Gradimir V. Milovanovic:
Ostrowski type inequalities and some selected quadrature formulae. - Yudianto Sujana, Jiawen Li, Hung-Yu Kao:
Rumor Detection on Twitter Using Multiloss Hierarchical BiLSTM with an Attenuation Factor. - Cheng Fu, Robert Weibel:
Measuring Place Function Similarity with Trajectory Embedding. - Sebastian Cmentowski, Jens H. Krüger:
Playing With Friends - The Importance of Social Play During the COVID-19 Pandemic. - Weidong Shi, Guanghui Ren, Yunpeng Chen, Shuicheng Yan:
ProxylessKD: Direct Knowledge Distillation with Inherited Classifier for Face Recognition. - Pu Sun, Yuezun Li, Honggang Qi, Siwei Lyu:
LandmarkGAN: Synthesizing Faces from Landmarks. - Cory M. Knapp:
Partial Functions and Recursion in Univalent Type Theory. - Tobias Zaenker, Claus Smitt, Chris McCool, Maren Bennewitz:
Viewpoint Planning for Fruit Size and Position Estimation. - Abdulrahman Aloraini, Juntao Yu, Massimo Poesio:
Neural Coreference Resolution for Arabic. - Paul Hand, Oscar Leong, Vladislav Voroninski:
Optimal Sample Complexity of Gradient Descent for Amplitude Flow via Non-Lipschitz Matrix Concentration. - Lei Dong, Xiaohui Yuan, Meng Li, Carlo Ratti, Yu Liu:
A gridded establishment dataset as a proxy for economic activity in China. - Parikha Mehrotra, David Yang, Scott Weigand, Shreyas Sen:
In-The-Wild Interference Characterization and Modelling for Electro-Quasistatic-HBC with Miniaturized Wearables. - Zexi Chen, Jiaxin Guo, Xuecheng Xu, Yunkai Wang, Yue Wang, Rong Xiong:
Pose Randomization for Weakly Paired Image Style Translation. - Michael Dowd, Anna Dixon, Benjamin Kinsella:
Optimizing Waste Management Collection Routes in Urban Haiti: A Collaboration between DataKind and SOIL. - Liang Liao, Stephen John Maybank:
General Data Analytics with Applications to Visual Information Analysis: A Provable Backward-Compatible Semisimple Paradigm over T-Algebra. - S. D. Pogorilyy, A. A. Kramov:
Method of the coherence evaluation of Ukrainian text. - Xinyue Evelyn Zhao, Wenrui Hao, Bei Hu:
Convergence analysis of neural networks for solving a free boundary system. - Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, Ramesh Pathirana:
Effective Approach to Develop a Sentiment Annotator For Legal Domain in a Low Resource Setting. - Amirahmad Chapnevis, Babak Sadeghiyan:
A Secure Two-Party Computation Protocol for Intersection Detection between Two Convex Hulls. - Jhony Kaesemodel Pontes, James Hays, Simon Lucey:
Scene Flow from Point Clouds with or without Learning. - Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers:
Self-paced and self-consistent co-training for semi-supervised image segmentation. - Zona Kostic, Jared Jessup, Jeffrey Baglioni, Nathan T. Weeks, Johann Philipp Dreessen, Ning Chen, Tianyu Liu:
Visual Companion for Booklovers. - Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica, Michael I. Jordan, Ken Goldberg, Joseph E. Gonzalez:
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Nonlinear Scaling with Adaptive Parallelism. - Ella Rabinovich, Hila Gonen, Suzanne Stevenson:
Pick a Fight or Bite your Tongue: Investigation of Gender Differences in Idiomatic Language Usage. - Neil Yeung, Jonathan Lai, Jiebo Luo:
Face Off: Polarized Public Opinions on Personal Face Mask Usage during the COVID-19 Pandemic. - Yasin Almalioglu, Angel Santamaria-Navarro, Benjamin Morrell, Ali-akbar Agha-mohammadi:
Unsupervised Deep Persistent Monocular Visual Odometry and Depth Estimation in Extreme Environments. - Thomas Kober, Malihe Alikhani, Matthew Stone, Mark Steedman:
Aspectuality Across Genre: A Distributional Semantics Approach. - Ahmed Ali, Yasser Hifny:
Efficient Arabic emotion recognition using deep neural networks. - Yatong Chen, Jialu Wang, Yang Liu:
Strategic Recourse in Linear Classification. - Wenshan Wang, Yaoyu Hu, Sebastian A. Scherer:
TartanVO: A Generalizable Learning-based VO. - Ashish Jaiswal, Ashwin Ramesh Babu, Mohammad Zaki Zadeh, Debapriya Banerjee, Fillia Makedon:
A Survey on Contrastive Self-supervised Learning. - Cao Vien Phung, Admela Jukan:
Increasing Transmission Distance in THz systems with Erasure Coding and Auxiliary Channels. - Qahhar Muhammad Qadir:
Analysis of the reliability of LoRa. - Maryam Dialameh, Ali Hamzeh, Hossein Rahmani:
DL-Reg: A Deep Learning Regularization Technique using Linear Regression. - David Gundana, Hadas Kress-Gazit:
Event-Based Signal Temporal Logic Synthesis for Single and Multi-Robot Tasks. - Jiaming Hu, Hongyi Ling, Priyam Parashar, Aayush Naik, Henrik I. Christensen:
Pose Estimation of Specular and Symmetrical Objects. - Ankita Agarwal, Preetham Salehundam, Swati Padhee, William L. Romine, Tanvi Banerjee:
Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic. - Jialu Wang, Yang Liu, Caleb C. Levy:
Fair Classification with Group-Dependent Label Noise. - Shuonan Pei, Mingzhi Zhu:
Real-Time Text Detection and Recognition. - Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How:
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. - Meiyi Ma, John A. Stankovic, Ezio Bartocci, Lu Feng:
CityPM: Predictive Monitoring with Logic-Calibrated Uncertainty for Smart Cities. - Kaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu:
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification. - Adilson Luiz Bonifácio, Camila Sonoda Gomes:
A Model-Based Testing Tool for Asynchronous Reactive Systems.