hunoutl/paperlists huggingface dataset:
Title: Reinforcement Learning based Disease Progression Model for Alzheimer’s Disease
Authors: Krishnakant Saboo, Anirudh Choudhary, Yurui Cao, Gregory Worrell, David Jones, Ravishankar Iyer
Affiliations: Mayo Clinic; UIUC
Conference: nips 2021 (main track)
Keywords: disease progression model;Alzheimer's disease;cognition trajectory prediction;reinforcement learning;differential equations
Decision: Poster
Title: Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport
Authors: Hsin-Yi Lin, Huan-Hsin Tseng, Xugang Lu, Yu Tsao
Affiliations: National Institute of Information and Communications Technology (NICT), Japan; The Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, CO, 80309, USA; NOAA Physical Sciences Laboratory, Boulder, CO, 80305, USA; Research Center for Information Technology Innovation, Academia Sinica, Taiwan
Conference: nips 2021 (main track)
Keywords: Domain adaptation;Optimal Transport;adversarial training;speech enhancement
Decision: Poster
Title: Deep Self-Dissimilarities as Powerful Visual Fingerprints
Authors: Idan Kligvasser, Tamar Shaham, Yuval Bahat, Tomer Michaeli
Affiliations: Technion–Israel Institute of Technology
Conference: nips 2021 (main track)
Keywords: descriptors;deep-features;IQA;image-restoration;super-resolution;motion-deblurring
Decision: Spotlight
Title: Credit Assignment in Neural Networks through Deep Feedback Control
Authors: Alexander Meulemans, Matilde Tristany Farinha, Javier Garcia Ordonez, Pau Vilimelis Aceituno, João Sacramento, Benjamin F. Grewe
Affiliations: Institute of Neuroinformatics, University of Zürich and ETH Zürich
Conference: nips 2021 (main track)
Keywords: Biologically-plausible Deep Learning;Neuroscience;Deep Learning;Control theory;Optimization theory
Decision: Spotlight
Title: L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization
Authors: Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray Chen, David Pan
Affiliations: ECE Department, University of Texas at Austin
Conference: nips 2021 (main track)
Keywords: Optical Neural Networks;On-Chip Learning;Efficient Training;Scalability;Hardware-Software Co-Design
Decision: Poster
Title: Time-series Generation by Contrastive Imitation
Authors: Daniel Jarrett, Ioana Bica, Mihaela van der Schaar
Affiliations: University of Cambridge, UK; University of Oxford, UK; Alan Turing Institute, UK; University of California, Los Angeles; University of Cambridge, UK; Alan Turing Institute, UK
Conference: nips 2021 (main track)
Keywords: Time Series Data;Synthetic Data Generation
Decision: Poster
Title: Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Authors: Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu
Affiliations: Facebook AI Research; Department of Computer Science, University of Illinois at Chicago; Amazon AWS AI
Conference: nips 2021 (main track)
Keywords: continual learning;natural language processing applications of continual learning
Decision: Poster
Title: Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification
Authors: Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner
Affiliations: Worcester Polytechnic Institute, Worcester, MA
Conference: nips 2021 (main track)
Keywords: multilabel classification;recurrent classifier chains;classifier chains;recurrent networks;exact classification;subset accuracy
Decision: Poster
Title: Self-Supervised Learning Disentangled Group Representation as Feature
Authors: Tan Wang, Zhongqi Yue, Jianqiang Huang, Qianru Sun, Hanwang Zhang
Affiliations: Nanyang Technological University; Singapore Management University; Nanyang Technological University, Damo Academy, Alibaba Group
Conference: nips 2021 (main track)
Keywords: Self-Supervised Learning;Feature Disentanglement;Invariant Risk Minimization;Group Representation
Decision: Spotlight
Title: Relative stability toward diffeomorphisms indicates performance in deep nets
Authors: Leonardo Petrini, Alessandro Favero, Mario Geiger, Matthieu Wyart
Affiliations: Institute of Physics, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
Conference: nips 2021 (main track)
Keywords: deep learning;stability;diffeomorphisms;image classification;learning invariants
Decision: Poster
Title: Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space
Authors: Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia
Affiliations: SmartMore Technology Co. Ltd.; South China University of Technology, Peng Cheng Laboratory, Pazhou Laboratory; South China University of Technology; South China University of Technology, DexForce Co. Ltd.
Conference: nips 2021 (main track)
Keywords: 3D convolution;SE(3)-equivariant feature learning;pose estimation
Decision: Poster
Title: Learning with Holographic Reduced Representations
Authors: Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean
Affiliations: Laboratory for Physical Sciences; University of Maryland, Baltimore County; University of Maryland, Baltimore County; Laboratory for Physical Sciences; Booz Allen Hamilton
Conference: nips 2021 (main track)
Keywords: Holographic Reduced Representations;binding;neuro-symbolic
Decision: Spotlight
Title: Logarithmic Regret from Sublinear Hints
Authors: Manish Purohit
Affiliations: Dept. of Electrical and Computer Engineering, Boston University, Boston, MA; Google Research, Mountain View, CA; Department of Computer Science, University of Utah, Salt Lake City, UT
Conference: nips 2021 (main track)
Keywords: Online optimization;Full information;Regret bounds;Hints;Query cost
Decision: Poster
Title: Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings
Authors: Raef Bassily, Cristóbal Guzmán, Michael Menart
Affiliations: Department of Computer Science & Engineering, Translational Data Analytics Institute (TDAI), The Ohio State University; Department of Computer Science & Engineering, The Ohio State University; Department of Applied Mathematics, University of Twente, Inst. for Mathematical and Comput. Eng., Pontiﬁcia Universidad Católica de Chile
Conference: nips 2021 (main track)
Keywords: Differential Privacy;Stochastic Optimization
Decision: Poster
Title: Stochastic bandits with groups of similar arms.
Authors: Fabien Pesquerel, Hassan SABER, Odalric-Ambrym Maillard
Affiliations: Univ. Lille, CNRS, Inria, Centrale Lille, UMR 9198-CRIStAL, F-59000 Lille, France
Conference: nips 2021 (main track)
Keywords: Multi-armed Bandit;Indexed Minimum Empirical Divergence;Structure;Regret analysis;dependent arms
Decision: Poster
Title: Spherical Motion Dynamics: Learning Dynamics of Normalized Neural Network using SGD and Weight Decay
Authors: Ruosi Wan, Zhanxing Zhu, Xiangyu Zhang, Jian Sun
Affiliations: Megvii Technology; University of Edinburgh
Conference: nips 2021 (main track)
Keywords: normalization;weight decay;stochastic gradient descent;momentum;neural network
Decision: Spotlight
Title: Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality
Authors: Songyuan Zhang, ZHANGJIE CAO, Dorsa Sadigh, Yanan Sui
Affiliations: National Engineering Lab for Neuromodulation, SAE, Tsinghua University, China; Department of Computer Science, Stanford University, USA
Conference: nips 2021 (main track)
Keywords: Imitation Learning;Learning from Demonstration;Learning from Suboptimal Demonstrations
Decision: Poster
Title: On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
Authors: Junyu Zhang, Chengzhuo Ni, zheng Yu, Csaba Szepesvari, Mengdi Wang
Affiliations: Department of Computer Science, University of Alberta, Edmonton, Alberta, Canada T6G 2E8; Department of Industrial Systems Engineering and Management, National University of Singapore, Singapore, 119077; Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, 08544
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Policy Gradient Method;Variance Reduction;Gradient Truncation
Decision: Spotlight
Title: Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel
Authors: Yixin Chen, Tonmoy Dey, Alan Kuhnle
Affiliations: Department of Computer Science, Florida State University, Tallahassee, Florida
Conference: nips 2021 (main track)
Keywords: submodular maximization;parallelizable algorithms;adaptive complexity
Decision: Poster
Title: Minimax Regret for Stochastic Shortest Path
Authors: Alon Cohen, Yonathan Efroni, Yishay Mansour, Aviv Rosenberg
Affiliations: Tel-Aviv University; Tel-Aviv University and Google Research, Tel Aviv; Microsoft Research, New York
Conference: nips 2021 (main track)
Keywords: regret minimization;stochastic shortest path;reinforcement learning;online learning
Decision: Poster
Title: ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers
Authors: Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, LING LIANG, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen
Affiliations: Northeastern University; University of California, Santa Barbara; Institute of Computing Technology, CAS; Drexel University
Conference: nips 2021 (main track)
Keywords: Certified Defense;DNN Security;DNN Robustness
Decision: Poster
Title: Independent mechanism analysis, a new concept?
Authors: Luigi Gresele, Julius von Kügelgen, Vincent Stimper, Bernhard Schölkopf, Michel Besserve
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; Max Planck Institute for Intelligent Systems, Tübingen, Germany and University of Cambridge
Conference: nips 2021 (main track)
Keywords: causal inference;independent causal mechanisms;nonlinear ICA;independent component analysis;identifiability;blind source separation;unsupervised representation learning
Decision: Poster
Title: Data Sharing and Compression for Cooperative Networked Control
Authors: Jiangnan Cheng, Marco Pavone, Sachin Katti, Sandeep Chinchali, Ao Tang
Affiliations: Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX; Department of Computer Science, Stanford University, Stanford, CA; Department of Aeronautics and Astronautics, Stanford University, Stanford, CA; School of Electrical and Computer Engineering, Cornell University, Ithaca, NY
Conference: nips 2021 (main track)
Keywords: Decision and Control;Representation Learning;Applications (Societal Systems)
Decision: Poster
Title: Fine-Grained Zero-Shot Learning with DNA as Side Information
Authors: Sarkhan Badirli, Zeynep Akata, George Mohler, Christine Picard, Mehmet M Dundar
Affiliations: Department of Biology, Indiana University - Purdue University, Indianapolis, IN, USA; Computer and Information Science Department, Indiana University - Purdue University, Indianapolis, IN, USA; Computer and Information Science Department, Indiana University - Purdue University, Indianapolis, IN, USA; mdundar@iupui.edu; Department of Computer Science, Purdue University, West Lafayette, IN, USA; Indiana University-Purdue University Indianapolis, IN, USA; University of Tübingen; Max Planck Institute for Informatics; Max Planck Institute for Intelligent Systems
Conference: nips 2021 (main track)
Keywords: zero-shot learning;Bayesian;species classification;fine-grained classification;DNA;insects
Decision: Poster
Title: NORESQA: A Framework for Speech Quality Assessment using Non-Matching References
Authors: Pranay Manocha, Buye Xu, Anurag Kumar
Affiliations: Facebook Reality Labs Research, Redmond, WA; Department of Computer Science, Princeton University, Princeton, NJ
Conference: nips 2021 (main track)
Keywords: no-reference;speech quality;unsupervised learning;speech enhancement;perceptual similarity;speech processing
Decision: Poster
Title: Amortized Variational Inference for Simple Hierarchical Models
Authors: Abhinav Agrawal, Justin Domke
Affiliations: College of Information and Computer Science, Univeristy Of Massachusetts Amherst
Conference: nips 2021 (main track)
Keywords: Variational Inference;Black Box Variational Inference;Amortized Variational Inference;Scalable Variational Inference;Hierarchical Models;Structured Variational Inference;Gaussian VI
Decision: Poster
Title: Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation
Authors: Kazu Ghalamkari, Mahito Sugiyama
Affiliations: National Institute of Informatics, The Graduate University for Advanced Studies, SOKENDAI
Conference: nips 2021 (main track)
Keywords: Low-rank approximation;Tucker rank;tensor;mean-field theory;Information geometry
Decision: Poster
Title: Conformal Time-series Forecasting
Authors: Kamile Stankeviciute, Ahmed M. Alaa, Mihaela van der Schaar
Affiliations: University of California, Los Angeles; University of Oxford, University of Cambridge; University of Cambridge, University of California, Los Angeles, The Alan Turing Institute
Conference: nips 2021 (main track)
Keywords: Conformal prediction;time-series forecasting;uncertainty estimation;confidence intervals
Decision: Poster
Title: VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Authors: Hassan Akbari, Liangzhe Yuan, Rui Qian, Wei-Hong Chuang, Shih-Fu Chang, Yin Cui, Boqing Gong
Affiliations: Cornell University; Google; Columbia University
Conference: nips 2021 (main track)
Keywords: Self-supervised Learning;Multimodal Understanding;Transformer;Contrastive Learning;Video Recognition;Audio Recognition
Decision: Poster
Title: Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent
Authors: Xingchao Liu, Xin Tong, Qiang Liu
Affiliations: Department of Computer Science, University of Texas at Austin; Department of Mathematics, National University of Singapore
Conference: nips 2021 (main track)
Keywords: Pareto Front;Sampling;Multi-objective Learning
Decision: Spotlight
Title: Efficient Generalization with Distributionally Robust Learning
Authors: Soumyadip Ghosh, Mark Squillante, Ebisa Wollega
Affiliations: Mathematical Sciences, IBM Research AI, Thomas J. Watson Research Center, Yorktown Heights, NY 20198, USA; Department of Engineering, Colorado State University-Pueblo, Pueblo, CO 81001, USA
Conference: nips 2021 (main track)
Keywords: distributionally robust learning;distributionally robust optimization;generalization;robust learning
Decision: Poster
Title: A Gang of Adversarial Bandits
Authors: Mark Herbster, Stephen Pasteris, Fabio Vitale, Massimiliano Pontil
Affiliations: University of Lille, 59653 Villeneuve d’Ascq CEDEX, France; CSML, Istituto Italiano di Tecnologia and Department of Computer Science, University College London; Department of Computer Science, University College London, London WC1E 6BT
Conference: nips 2021 (main track)
Keywords: Online Learning;Bandits
Decision: Poster
Title: Learning with Noisy Correspondence for Cross-modal Matching
Authors: Zhenyu Huang, Guocheng Niu, Xiao Liu, Wenbiao Ding, Xinyan Xiao, Hua Wu, Xi Peng
Affiliations: TAL Education Group; Baidu Inc., China; College of Computer Science, Sichuan University, China
Conference: nips 2021 (main track)
Keywords: multimodal learning;noisy labels;cross-modal matching;mismatching
Decision: Oral
Title: Distributed Zero-Order Optimization under Adversarial Noise
Authors: Arya Akhavan, Massimiliano Pontil, Alexandre Tsybakov
Affiliations: CSML, Istituto Italiano di Tecnologia and CREST, ENSAE, IP Paris; CSML, Istituto Italiano di Tecnologia and University College London; CREST, ENSAE, IP Paris
Conference: nips 2021 (main track)
Keywords: Zero-order optimization;statistical learning theory;online learning
Decision: Poster
Title: RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks
Authors: Edouard YVINEC, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
Affiliations: Sorbonne Université, CNRS, ISIR, f-75005, 4 Place Jussieu 75005 Paris, France; Datakalab, 114 boulevard Malesherbes, 75017 Paris, France; Datakalab, 114 boulevard Malesherbes, 75017 Paris, France; Sorbonne Université, CNRS, ISIR, f-75005, 4 Place Jussieu 75005 Paris, France
Conference: nips 2021 (main track)
Keywords: deep learning;computer vision;pruning;data-free;hashing;compression;acceleration
Decision: Poster
Title: Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation
Authors: Yue Wang, Shaofeng Zou, Yi Zhou
Affiliations: Department of Electrical Engineering, University at Buffalo, Buffalo, NY, USA; Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, Utah, USA
Conference: nips 2021 (main track)
Keywords: TDC;finite-sample analysis;tracking error bound;Markovian noise;non-convex
Decision: Poster
Title: ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE
Authors: Qingzhong Ai, LIRONG HE, SHIYU LIU, Zenglin Xu
Affiliations: School of Science and Technology, Harbin Institute of Technology Shenzhen, Shenzhen China; Department of Network Intelligence, Peng Cheng National Lab, Shenzhen, China; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu China
Conference: nips 2021 (main track)
Keywords: Deep generative model;VAE;Coreset
Decision: Poster
Title: Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation
Authors: Lin Guan, Mudit Verma, Sihang Guo, Ruohan Zhang, Subbarao Kambhampati
Affiliations: Department of Computer Science, Stanford University, Stanford, CA 94305; Department of Computer Science, The University of Texas at Austin, Austin, TX 78712; School of Computing & AI, Arizona State University, Tempe, AZ 85281
Conference: nips 2021 (main track)
Keywords: human-in-the-loop reinforcement learning;interactive reinforcement learning;explanations;saliency map;visual explanations;human-agent interaction;multimodal human-agent interaction
Decision: Spotlight
Title: Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
Authors: Jinhee Lee, Haeri Kim, Youngkyu Hong, Hye Won Chung
Affiliations: School of Electrical Engineering, KAIST; Samsung Research, Samsung Electronics; NAVER AI Lab, NAVER
Conference: nips 2021 (main track)
Keywords: Generative Adversarial Networks (GAN);diversity in sample generation;fair generative model;minor attributes;training dynamics;statistics of log-density ratio;weighted sampling for SGD.
Decision: Poster
Title: AFEC: Active Forgetting of Negative Transfer in Continual Learning
Authors: Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong
Affiliations: IIIS, Tsinghua University; School of Life Sciences, IDG/McGovern Institute for Brain Research, Tsinghua University; Tsinghua-Peking Center for Life Sciences; Yau Mathematical Sciences Center, Tsinghua University; AI Center, University College London; Dept. of Comp. Sci. & Tech., Institute for AI, BNRist Center, THBI Lab, Tsinghua University
Conference: nips 2021 (main track)
Keywords: bio-inspired learning;continual learning;neuroscience;memory;forgetting
Decision: Poster
Title: Subgraph Federated Learning with Missing Neighbor Generation
Authors: Ke ZHANG, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu Ming Yiu
Affiliations: Emory University, University of Hong Kong; University of Hong Kong; Lehigh University; University of British Columbia; Emory University
Conference: nips 2021 (main track)
Keywords: graph mining;federated learning;subgraph node classification;neighbor prediction;generative model
Decision: Spotlight
Title: Quantifying and Improving Transferability in Domain Generalization
Authors: Guojun Zhang, Han Zhao, Yaoliang Yu, Pascal Poupart
Affiliations: Department of Computer Science, University of Illinois at Urbana-Champaign; School of Computer Science, University of Waterloo, Vector Institute
Conference: nips 2021 (main track)
Keywords: domain generalization;transferability;transfer learning;out-of-distribution generalization
Decision: Poster
Title: On the Representation of Solutions to Elliptic PDEs in Barron Spaces
Authors: Ziang Chen, Jianfeng Lu, Yulong Lu
Affiliations: Department of Mathematics, Duke University, Box 90320, Durham, NC 27708; Department of Mathematics and Statistics, Lederle Graduate Research Tower, University of Massachusetts, 710 N. Pleasant Street, Amherst, MA 01003; Departments of Mathematics, Physics, and Chemistry, Duke University, Box 90320, Durham, NC 27708
Conference: nips 2021 (main track)
Keywords: partial differential equations;neural networks;Barron norms;high dimension;approximation
Decision: Spotlight
Title: Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms
Authors: Jeremy Seeman, Matthew Reimherr, Aleksandra Slavković
Affiliations: Department of Statistics, Penn State University, State College, PA 16803
Conference: nips 2021 (main track)
Keywords: Differential Privacy;Markov Chain Monte Carlo;Perfect Simulation
Decision: Poster
Title: Scatterbrain: Unifying Sparse and Low-rank Attention
Authors: Beidi Chen, Tri Dao, Eric Winsor, Zhao Song, Atri Rudra, Christopher Ré
Affiliations: Department of Computer Science, Stanford University; Department of Computer Science and Engineering, University at Buffalo, SUNY; Adobe Research
Conference: nips 2021 (main track)
Keywords: Sparsity;Low-rank;Locality Sensitive Hashing;Kernel Approximation;Efficient Transformers
Decision: Poster
Title: KS-GNN: Keywords Search over Incomplete Graphs via Graphs Neural Network
Authors: YU HAO, Xin Cao, Yufan Sheng, Yixiang Fang, Wei Wang
Affiliations: University of New South Wales, NSW, Australia; Chinese University of Hong Kong, Shenzhen, China; The Hong Kong University of Science and Technology, Guangzhou, China
Conference: nips 2021 (main track)
Keywords: GNN;Keyword search;Graph Representation Learning;Node Embedding
Decision: Poster
Title: Bubblewrap: Online tiling and real-time flow prediction on neural manifolds
Authors: Anne Draelos, Pranjal Gupta, Na Young Jun, Chaichontat Sriworarat, John Pearson
Affiliations: Biostatistics & Bioinformatics, Electrical & Computer Engineering, Neurobiology, Psychology & Neuroscience, Duke University; Psychology & Neuroscience, Duke University; Neurobiology, Duke University; Biostatistics & Bioinformatics, Duke University; Biomedical Engineering, Duke University
Conference: nips 2021 (main track)
Keywords: neuroscience;neural populations;online;real-time
Decision: Poster
Title: FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
Authors: Quoc Tran Dinh, Nhan H Pham, Dzung Phan, Lam Nguyen
Affiliations: IBM Research, Thomas J. Watson Research Center, Yorktown Heights, NY, USA.; Department of Statistics and Operations Research, The University of North Carolina at Chapel Hill
Conference: nips 2021 (main track)
Keywords: Randomized Douglas-Rachford splitting method;nonconvex federated optimization;asynchronous algorithm
Decision: Poster
Title: NeuroMLR: Robust & Reliable Route Recommendation on Road Networks
Authors: Jayant Jain, Vrittika Bagadia, Sahil Manchanda, Sayan Ranu
Affiliations: Indian Institute of Technology Delhi
Conference: nips 2021 (main track)
Keywords: Route recommendation;Spatio-temporal;Deep Learning;Road networks;Graph Convolutional Networks;Inductive Learning
Decision: Poster
Title: Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network
Authors: Xiaolin Hu, Kai Li, Weiyi Zhang, Yi Luo, Jean-Marie Lemercier, Timo Gerkmann
Affiliations: Department of Informatics, University of Hamburg, Hamburg, Germany; Department of Computer Science and Technology, Tsinghua Laboratory of Brain and Intelligence (THBI), IDG/McGovern Institute of Brain Research Tsinghua University, Beijing, China; Department of Electrical Engineering, Columbia University, NY, USA
Conference: nips 2021 (main track)
Keywords: speech separation;single-channel;time-domain;recurrent convolutional neural network;deep learning
Decision: Poster