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ORCIDCoRR, June 2021
- Vikrant Singhal, Thomas Steinke:
Privately Learning Subspaces.
- Junjie Liu, Yiyang Sun, Jing Ma, Jiachen Tu, Yuhui Deng, Ping He, Huaxiong Huang, Xiaoshuang Zhou, Shixin Xu:
Analysis and classification of main risk factors causing stroke in Shanxi Province. - Firas Hamze:
Parallelized Computation and Backpropagation Under Angle-Parametrized Orthogonal Matrices. - Manuel Ntumba
, Saurabh Gore, Jean-Baptiste Awanyo:
DikpolaSat Mission: Improvement of Space Flight Performance and Optimal Control Using Trained Deep Neural Network - Trajectory Controller for Space Objects Collision Avoidance. - Hao Xu, Dongxiao Zhang:
Robust discovery of partial differential equations in complex situations. - Lu Ma, Song Yang, Yaguang Gong, Zhongqin Wu:
Multi-Scale Attention Neural Network for Acoustic Echo Cancellation. - Fahri Wisnu Murti, Samad Ali, Matti Latva-aho:
Constrained Deep Reinforcement Based Functional Split Optimization in Virtualized RANs. - Asier Gutiérrez-Fandiño, David Pérez Fernández, Jordi Armengol-Estapé, Marta Villegas:
Persistent Homology Captures the Generalization of Neural Networks Without A Validation Set. - M. Andrecut:
Diffusion Self-Organizing Map on the Hypersphere. - Ziming Liu, Bohan Wang, Qi Meng, Wei Chen, Max Tegmark, Tie-Yan Liu:
Machine-Learning Non-Conservative Dynamics for New-Physics Detection. - Qian Lou, Lei Jiang:
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture. - Milliam Maxime Zekeng Ndadji:
A Grammatical Approach for Distributed Business Process Management using Structured and Cooperatively Edited Mobile Artifacts. - Tudor Berariu, Wojciech Czarnecki, Soham De, Jörg Bornschein, Samuel L. Smith, Razvan Pascanu, Claudia Clopath:
A study on the plasticity of neural networks. - Abhishek Panigrahi, Navin Goyal:
Learning and Generalization in RNNs. - Lukas Hedegaard, Alexandros Iosifidis:
Continual 3D Convolutional Neural Networks for Real-time Processing of Videos. - Thomas Bott, Dominik Schlechtweg, Sabine Schulte im Walde:
More than just Frequency? Demasking Unsupervised Hypernymy Prediction Methods. - Bahareh Tolooshams, Demba E. Ba:
PUDLE: Implicit Acceleration of Dictionary Learning by Backpropagation. - Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He:
Controllable Gradient Item Retrieval. - Andrew Adamatzky, Antoni Gandia:
Living mycelium composites discern weights. - Ninad Hogade, Sudeep Pasricha, Howard Jay Siegel:
Energy and Network Aware Workload Management for Geographically Distributed Data Centers. - Jacob Brown, Tanujay Saha, Niraj K. Jha:
GRAVITAS: Graphical Reticulated Attack Vectors for Internet-of-Things Aggregate Security. - Sebastian Cygert, Bartlomiej Wróblewski, Karol Wozniak, Radoslaw Slowinski, Andrzej Czyzewski:
Closer Look at the Uncertainty Estimation in Semantic Segmentation under Distributional Shift. - Nicolas Steven Holliman:
Automating Visualization Quality Assessment: a Case Study in Higher Education. - Daniel Engel, Maurice Herlihy:
Composing Networks of Automated Market Makers. - Clara Meister, Ryan Cotterell:
Language Model Evaluation Beyond Perplexity. - Fernando Gama, Brendon G. Anderson, Somayeh Sojoudi:
Node-Variant Graph Filters in Graph Neural Networks. - Zhikun Liu, Yuanpeng Liu, Yuan Hong, Jinwen Meng, Jianguo Wang, Shusen Zheng, Xiao Xu:
Deep learning for prediction of hepatocellular carcinoma recurrence after resection or liver transplantation: a discovery and validation study. - Kamesh Munagala, Zeyu Shen, Kangning Wang:
Optimal Algorithms for Multiwinner Elections and the Chamberlin-Courant Rule. - Kushal Chakrabarti, Nikhil Chopra:
Generalized AdaGrad (G-AdaGrad) and Adam: A State-Space Perspective. - Gilad Chase, Yuval Filmus, Dor Minzer, Elchanan Mossel, Nitin Saurabh:
Approximate polymorphisms. - Harsh Satija, Philip S. Thomas, Joelle Pineau, Romain Laroche:
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs. - Juraj Visnovsky, Ondrej Kassák, Michal Kompan, Mária Bieliková:
The Cold-start Problem: Minimal Users' Activity Estimation. - Yumo Xu, Mirella Lapata:
Text Summarization with Latent Queries. - Terence Lines, Ana Basiri:
3D map creation using crowdsourced GNSS data. - Jong Gwang Kim:
Equilibrium Computation of Generalized Nash Games: A New Lagrangian-Based Approach. - Anna K. Yanchenko, Mohammadreza Soltani, Robert J. Ravier, Sayan Mukherjee, Vahid Tarokh:
Towards Explainable Convolutional Features for Music Audio Modeling. - Waleed Mustafa, Yunwen Lei, Antoine Ledent, Marius Kloft:
Fine-grained Generalization Analysis of Structured Output Prediction. - Mehdi Cherti, Jenia Jitsev:
Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images. - Daniel T. Chang:
Probabilistic Deep Learning with Probabilistic Neural Networks and Deep Probabilistic Models. - Yuan Wang, Sebin Gracy, Hideaki Ishii, Karl Henrik Johansson:
Suppressing the endemic equilibrium in SIS epidemics: A state dependent approach. - Tidor-Vlad Pricope:
Deep Reinforcement Learning in Quantitative Algorithmic Trading: A Review. - Helen Xu, Sean Fraser, Charles E. Leiserson:
Multidimensional Included and Excluded Sums. - Qingyu Guo, Yuan Wang, Xiaoxin Cui:
Integer-Only Neural Network Quantization Scheme Based on Shift-Batch-Normalization. - Rui Meng, Khushboo Thaker, Lei Zhang, Yue Dong, Xingdi Yuan, Tong Wang, Daqing He:
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents. - Yaling Tao, Kentaro Takagi, Kouta Nakata:
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation. - Zhifeng Kong, Wei Ping:
On Fast Sampling of Diffusion Probabilistic Models. - Maayan Shvo, Zhiming Hu, Rodrigo Toro Icarte, Iqbal Mohomed, Allan D. Jepson, Sheila A. McIlraith:
AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement Learning. - Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen:
GANs Can Play Lottery Tickets Too. - Mohannad Alkhraijah, Carlos Menendez, Daniel K. Molzahn:
Evaluating the Performance of Distributed Optimal Power Flow Algorithms with Nonideal Communication. - Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar:
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. - Jiaming Shen, Jialu Liu, Tianqi Liu, Cong Yu, Jiawei Han:
Training ELECTRA Augmented with Multi-word Selection. - Shamaria Engram, Tyler Kaczmarek, Alice Lee, David Bigelow:
Proactive Provenance Policies for Automatic Cryptographic Data Centric Security. - Ujun Jeong, Kaize Ding, Huan Liu:
FBAdTracker: An Interactive Data Collection and Analysis Tool for Facebook Advertisements. - Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov:
An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers. - Robert Mieth, Yury Dvorkin, Miguel A. Ortega-Vazquez:
Risk-Aware Dimensioning and Procurement of Contingency Reserve. - Tedo Vrbanec, Ana Mestrovic:
Corpus-Based Paraphrase Detection Experiments and Review. - Jiaao Chen, Dinghan Shen, Weizhu Chen, Diyi Yang:
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalization. - Daniel Rakita, Bilge Mutlu, Michael Gleicher:
Single-query Path Planning Using Sample-efficient Probability Informed Trees. - Daniel Rakita, Bilge Mutlu, Michael Gleicher:
Strobe: An Acceleration Meta-algorithm for Optimizing Robot Paths using Concurrent Interleaved Sub-Epoch Pods. - João Marques-Silva, Thomas Gerspacher, Martin C. Cooper, Alexey Ignatiev, Nina Narodytska:
Explanations for Monotonic Classifiers. - Artur Polanski, Eryk Lipka:
Detecting a single fault in a deterministic finite automaton. - Lin Yan, Talha Bin Masood, Raghavendra Sridharamurthy, Farhan Rasheed, Vijay Natarajan, Ingrid Hotz, Bei Wang:
Scalar Field Comparison with Topological Descriptors: Properties and Applications for Scientific Visualization. - David Paulius, Alejandro Agostini, Yu Sun, Dongheui Lee:
A Road-map to Robot Task Execution with the Functional Object-Oriented Network. - Travis J. E. Munyer, Daniel Brinkman, Chenyu Huang, Xin Zhong:
Integrative Use of Computer Vision and Unmanned Aircraft Technologies in Public Inspection: Foreign Object Debris Image Collection. - Weixin Liang, Kaihui Liang, Zhou Yu:
HERALD: An Annotation Efficient Method to Detect User Disengagement in Social Conversations. - Emma Pieroni, Peter Jachim, Nathaniel Jachim, Filipo Sharevski:
Parlermonium: A Data-Driven UX Design Evaluation of the Parler Platform. - Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis:
Rethinking Pseudo Labels for Semi-Supervised Object Detection. - Adithya Renduchintala, Denise Díaz, Kenneth Heafield, Xian Li, Mona T. Diab:
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation. - Brandon Victor, Aiden Nibali, Zhen He, David L. Carey:
Enhancing Trajectory Prediction using Sparse Outputs: Application to Team Sports. - Kumail Abbas, Sajjad Haider:
Duckworth-Lewis-Stern Method Comparison with Machine Learning Approach. - Tsu-Jui Fu, Xin Eric Wang, William Yang Wang:
Language-Driven Image Style Transfer. - Tokuhiro Nishikawa, Daiki Shimada, Jerry Jun Yokono:
Dual Normalization Multitasking for Audio-Visual Sounding Object Localization. - Meichun Jiao, Ziyang Luo:
Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives. - Levente J. Klein, Wang Zhou, Conrad M. Albrecht:
Quantification of Carbon Sequestration in Urban Forests. - Binghao Liu, Yao Ding, Jianbin Jiao, Xiangyang Ji, Qixiang Ye:
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation. - Tzu-Chi Yen:
Construction of Simplicial Complexes with Prescribed Degree-Size Sequences. - Geonmo Gu, ByungSoo Ko, SeoungHyun Go, Sung-Hyun Lee, Jingeun Lee, Minchul Shin:
Towards Real-time and Light-weight Line Segment Detection. - Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi:
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. - Assem Zhunis, Tung-Duong Mai, Sundong Kim:
Responses to COVID-19 with Probabilistic Programming. - Yu-Hsiang Lan, Paul F. Fischer, Elia Merzari, Misun Min:
All-Hex Meshing Strategies For Densely Packed Spheres. - Xingshan Zeng, Liangyou Li, Qun Liu:
Multilingual Speech Translation with Unified Transformer: Huawei Noah's Ark Lab at IWSLT 2021. - Runyu Zhang, Zhaolin Ren, Na Li:
Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence. - Haitian Sun, William W. Cohen, Ruslan Salakhutdinov:
End-to-End Multihop Retrieval for Compositional Question Answering over Long Documents. - Yosuke Sunayama, Masato Kimura, Julius Fergy T. Rabago:
Comoving mesh method for certain classes of moving boundary problems. - Hoda Shajari, Jaemoon Lee, Sanjay Ranka, Anand Rangarajan:
Hybrid Generative Models for Two-Dimensional Datasets. - Ju He, Adam Kortylewski, Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang, Alan L. Yuille:
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning. - Zonghai Yao, Hong Yu:
Improving Formality Style Transfer with Context-Aware Rule Injection. - Yunhan Huang, Quanyan Zhu:
Game-Theoretic Frameworks for Epidemic Spreading and Human Decision Making: A Review. - Yongjian Deng, Hao Chen, Huiying Chen, Youfu Li:
EV-VGCNN: A Voxel Graph CNN for Event-based Object Classification. - Chinmay Garg, Aravind Machiry, Andrea Continella, Christopher Kruegel, Giovanni Vigna:
Toward a Secure Crowdsourced Location Tracking System. - Yucheng Wang, Bowen Yu, Hongsong Zhu, Tingwen Liu, Nan Yu, Limin Sun:
Discontinuous Named Entity Recognition as Maximal Clique Discovery. - Shweta Yadav, Deepak Gupta, Asma Ben Abacha, Dina Demner-Fushman:
Question-aware Transformer Models for Consumer Health Question Summarization. - Mark Gillespie, Nicholas Sharp, Keenan Crane:
Integer Coordinates for Intrinsic Geometry Processing. - Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You:
Concurrent Adversarial Learning for Large-Batch Training. - Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Locally Valid and Discriminative Confidence Intervals for Deep Learning Models. - Grégory Etangsale, Marwan Fahs, Vincent Fontaine, A. R. Isa-Abadi:
Families of hybridizable interior penalty discontinuous Galerkin methods for degenerate advection-diffusion-reaction problems. - Haotian Hu, Fanyi Wang, Huixiao Le:
VA-GCN: A Vector Attention Graph Convolution Network for learning on Point Clouds. - Qian-Ping Gu, Jiajian Leo Liang:
Multimodal Transportation with Ridesharing of Personal Vehicles. - Sunny Consolvo, Patrick Gage Kelley, Tara Matthews, Kurt Thomas, Lee Dunn, Elie Bursztein:
"Why wouldn't someone think of democracy as a target?": Security practices & challenges of people involved with U.S. political campaigns. - Nicolas Zampieri, Irina Illina, Dominique Fohr:
Improving Automatic Hate Speech Detection with Multiword Expression Features. - Sergio Armando Gutierrez, John Willian Branch, Luciano Paschoal Gaspary, Juan Felipe Botero:
Watching Smartly from the Bottom: Intrusion Detection revamped through Programmable Networks and Artificial Intelligence. - Kshitij Gupta, Devansh Gautam, Radhika Mamidi:
Volta at SemEval-2021 Task 6: Towards Detecting Persuasive Texts and Images using Textual and Multimodal Ensemble. - Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. - Aashrith Vishwanath, Hamza Anwar, Apurva Chunodkar, Qadeer Ahmed:
Comprehensive Energy Footprint Benchmarking of Strong Parallel Electrified Powertrain. - Linjie Li, Jie Lei, Zhe Gan, Jingjing Liu:
Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models. - Marc Zeller, Francesco Montrone:
Combination of component fault trees and Markov chains to analyze complex, software-controlled systems. - Devansh Gautam, Kshitij Gupta, Manish Shrivastava:
Volta at SemEval-2021 Task 9: Statement Verification and Evidence Finding with Tables using TAPAS and Transfer Learning. - Kshitij Gupta, Devansh Gautam, Radhika Mamidi:
ViTA: Visual-Linguistic Translation by Aligning Object Tags. - Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone:
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning. - Hamed Haggi, Wei Sun, James M. Fenton, Paul Brooker:
Proactive Scheduling of Hydrogen Systems for Resilience Enhancement of Distribution Networks. - Hao Cheng, Kim-Hui Yap, Bihan Wen:
Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set Classification. - Yu Wang, Hongxia Jin:
A Coarse to Fine Question Answering System based on Reinforcement Learning. - Qianyu Feng, Bang Zhang, Yi Yang:
Divide and Rule: Recurrent Partitioned Network for Dynamic Processes. - Hui Jiang, Chulun Zhou, Fandong Meng, Biao Zhang, Jie Zhou, Degen Huang, Qingqiang Wu, Jinsong Su:
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation. - Mengfan Liu, Pengyang Shao, Kun Zhang:
Graph-based Exercise- and Knowledge-Aware Learning Network for Student Performance Prediction. - Bo Liu, Qiulei Dong, Zhanyi Hu:
Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning. - Sharu Theresa Jose, Osvaldo Simeone:
A unified PAC-Bayesian framework for machine unlearning via information risk minimization. - Oriol Corcoll, Raul Vicente:
Did I do that? Blame as a means to identify controlled effects in reinforcement learning. - Sabah Al-Fedaghi:
Classes in Object-Oriented Modeling (UML): Further Understanding and Abstraction. - Haibin Wu, Xu Li, Andy T. Liu, Zhiyong Wu, Helen Meng, Hung-yi Lee:
Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning. - Alex Díaz, Damian Steele:
Analysis of classifiers robust to noisy labels. - He Yang:
H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning. - Ruxandra Marinescu-Ghemeci, Camelia Obreja, Alexandru Popa:
Approximate and exact results for the harmonious chromatic number. - Quentin F. Stout:
L0 Isotonic Regression With Secondary Objectives. - Martin Genzel, Jan MacDonald, Maximilian März:
AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry. - Chao Zhang, Igor Menshov, Lifeng Wang, Zhijun Shen:
Diffuse interface relaxation model for two-phase compressible flows with diffusion processes. - Kensuke Aihara, Akira Imakura, Keiichi Morikuni:
Cross-interactive residual smoothing for global and block Lanczos-type solvers for linear systems with multiple right-hand sides. - Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao:
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning. - Vishnu Iyer, Avishay Tal, Michael Whitmeyer:
Junta Distance Approximation with Sub-Exponential Queries. - Pranay Mathur, Nikhil Khedekar, Kostas Alexis:
Resource-aware Online Parameter Adaptation for Computationally-constrained Visual-Inertial Navigation Systems. - Yinpei Dai, Hangyu Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Xiaodan Zhu:
Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking. - Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Hong Xu:
More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring.