hunoutl/paperlists huggingface dataset:
Title: Solving Compositional Reinforcement Learning Problems via Task Reduction
Authors: Yunfei Li, Yilin Wu, Huazhe Xu, Xiaolong Wang, Yi Wu
Affiliations: UC Berkeley; Institute for Interdisciplinary Information Sciences, Tsinghua University; UCSD; Shanghai Qi Zhi Institute
Conference: iclr 2021 (main track)
Keywords: compositional task;sparse reward;reinforcement learning;task reduction;imitation learning
Decision: Poster
Title: Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks
Authors: Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma
Affiliations: University of Illinois at Urbana–Champaign; The University of Melbourne; Xidian University; Deakin University, Geelong; Ant Group
Conference: iclr 2021 (main track)
Keywords: Backdoor Defense;Deep Neural Networks;Neural Attention Distillation
Decision: Poster
Title: Evaluation of Similarity-based Explanations
Authors: Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui
Affiliations: RIKEN Center for Advanced Intelligence Project1, Tohoku University2; Osaka University3; Tohoku University2, RIKEN Center for Advanced Intelligence Project1
Conference: iclr 2021 (main track)
Keywords: Interpretability;Explainability
Decision: Poster
Title: A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference
Authors: Sanghyun Hong, Yigitcan Kaya, Ionut-Vlad Modoranu, Tudor Dumitras
Affiliations: †Alexandru Ioan Cuza University, Ias ,i, Romania; University of Maryland, College Park, USA
Conference: iclr 2021 (main track)
Keywords: Slowdown attacks;efficient inference;input-adaptive multi-exit neural networks;adversarial examples
Decision: Spotlight
Title: MetaNorm: Learning to Normalize Few-Shot Batches Across Domains
Authors: Yingjun Du, Xiantong Zhen, Ling Shao, Cees G Snoek
Affiliations: Inception Institute of Artiﬁcial Intelligence; AIM Lab, University of Amsterdam
Conference: iclr 2021 (main track)
Keywords: Meta-learning;batch normalization;few-shot domain generalization
Decision: Poster
Title: Explainable Deep One-Class Classification
Authors: Philipp Liznerski, Lukas Ruff, Robert A Vandermeulen, Billy J Franks, Marius Kloft, Klaus R Muller
Affiliations: ML group, Technical University of Berlin, Germany; ML group, Technical University of Kaiserslautern, Germany
Conference: iclr 2021 (main track)
Keywords: anomaly-detection;deep-learning;explanations;interpretability;xai;one-class-classification;deep-anomaly-detection;novelty-detection;outlier-detection
Decision: Poster
Title: Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning
Authors: Zhiyuan Li, Yuping Luo, Kaifeng Lyu
Affiliations: Princeton University; Tsinghua University
Conference: iclr 2021 (main track)
Keywords: matrix factorization;gradient descent;implicit regularization;implicit bias
Decision: Poster
Title: SEED: Self-supervised Distillation For Visual Representation
Authors: Zhiyuan Fang, Jianfeng Wang, Lijuan Wang, Lei Zhang, 'YZ' Yezhou Yang, Zicheng Liu
Affiliations: Microsoft Corporation; Arizona State University
Conference: iclr 2021 (main track)
Keywords: Self Supervised Learning;Knowledge Distillation;Representation Learning
Decision: Poster
Title: Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning
Authors: Kanil Patel, William H Beluch, Bin Yang, Michael Pfeiffer, Dan Zhang
Affiliations: Bosch Center for Artiﬁcial Intelligence, Renningen, Germany; Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany
Conference: iclr 2021 (main track)
Keywords: uncertainty calibration;post-hoc calibration;histogram binning;mutual information;deep neural networks
Decision: Poster
Title: Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
Authors: Yatin Nandwani, Deepanshu Jindal, Mausam ., Parag Singla
Affiliations: Department of Computer Science, Indian Institute of Technology Delhi, INDIA
Conference: iclr 2021 (main track)
Keywords: Neuro symbolic;constraint satisfaction;reasoning
Decision: Poster
Title: Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation
Authors: Tanner Fiez, Lillian J Ratliff
Affiliations: Department of Electrical and Computer Engineering, University of Washington, Seattle, WA 98195
Conference: iclr 2021 (main track)
Keywords: game theory;continuous games;generative adversarial networks;theory;gradient descent-ascent;equilibrium;convergence
Decision: Poster
Title: On InstaHide, Phase Retrieval, and Sparse Matrix Factorization
Authors: Sitan Chen, Xiaoxiao Li, Zhao Song, Danyang Zhuo
Affiliations: Duke University; Princeton University; MIT; Columbia University, Princeton University / IAS
Conference: iclr 2021 (main track)
Keywords: Distributed learning;InstaHide;phase retrieval;matrix factorization
Decision: Poster
Title: Nonseparable Symplectic Neural Networks
Authors: Shiying Xiong, Yunjin Tong, Xingzhe He, Shuqi Yang, Cheng Yang, Bo Zhu
Affiliations: ByteDance AI Lab, Beijing, China; Dartmouth College, Hanover, NH, United States
Conference: iclr 2021 (main track)
Keywords: Data-driven modeling;nonseparable Hailtonian system;symplectic networks
Decision: Poster
Title: Federated Learning Based on Dynamic Regularization
Authors: Durmus Alp Emre Acar, Yue Zhao, Ramon Matas, Matthew Mattina, Paul Whatmough, Venkatesh Saligrama
Affiliations: Boston University, Boston, MA; Arm ML Research Lab, Boston, MA
Conference: iclr 2021 (main track)
Keywords: Federated Learning;Deep Neural Networks;Distributed Optimization
Decision: Oral
Title: Counterfactual Generative Networks
Authors: Axel Sauer, Andreas Geiger
Affiliations: 1Max Planck Institute for Intelligent Systems, Tübingen2University of Tübingen
Conference: iclr 2021 (main track)
Keywords: Causality;Counterfactuals;Generative Models;Robustness;Image Classification;Data Augmentation
Decision: Poster
Title: Coping with Label Shift via Distributionally Robust Optimisation
Authors: Jingzhao Zhang, Aditya Krishna Menon, Andreas Veit, Srinadh Bhojanapalli, Sanjiv Kumar, Suvrit Sra
Affiliations: Massachusetts Institute of Technology; Google Research
Conference: iclr 2021 (main track)
Keywords: Label shift;distributional robust optimization
Decision: Poster
Title: Understanding Over-parameterization in Generative Adversarial Networks
Authors: Yogesh Balaji, Mohammadmahdi Sajedi, Neha Kalibhat, Mucong Ding, Dominik Stöger, Mahdi Soltanolkotabi, Soheil Feizi
Affiliations: University of Southern California, Los Angeles, CA; University of Maryland, College Park, MD
Conference: iclr 2021 (main track)
Keywords: GAN;Over-parameterization;min-max optimization
Decision: Poster
Title: Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks
Authors: Timothy Castiglia, Anirban Das, Stacy Patterson
Affiliations: Department of Computer Science, Rensselaer Polytechnic Institute, 110 8th St, Troy, NY 12180, sep@cs.rpi.edu; Department of Computer Science, Rensselaer Polytechnic Institute, 110 8th St, Troy, NY 12180, castit@rpi.edu; Department of Computer Science, Rensselaer Polytechnic Institute, 110 8th St, Troy, NY 12180, dasa2@rpi.edu
Conference: iclr 2021 (main track)
Keywords: Machine Learning;Stochastic Gradient Descent;Federated Learning;Hierarchical Networks;Distributed;Heterogeneous;Convergence Analysis
Decision: Poster
Title: Optimism in Reinforcement Learning with Generalized Linear Function Approximation
Authors: Yining Wang, Ruosong Wang, Simon Du, Akshay Krishnamurthy
Affiliations: University of Washington; University of Florida; Carnegie Mellon University; Microsoft Research
Conference: iclr 2021 (main track)
Keywords: reinforcement learning;optimism;exploration;function approximation;theory;regret analysis;provable sample efficiency
Decision: Poster
Title: Spatio-Temporal Graph Scattering Transform
Authors: Chao Pan, Siheng Chen, Antonio Ortega
Affiliations: University of Illinois at Urbana-Champaign, Champaign, IL, USA; University of Southern California, Los Angeles, CA, USA; Shanghai Jiao Tong University, Shanghai, China
Conference: iclr 2021 (main track)
Keywords: scattering transform;spatio-temporal graph;graph neural networks;skeleton-based action recognition
Decision: Poster
Title: NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition
Authors: Abhinav Mehrotra, Alberto Gil Couto Pimentel Ramos, Sourav Bhattacharya, Łukasz Dudziak, Ravichander Vipperla, Thomas C Chau, Mohamed Abdelfattah, Samin Ishtiaq, Nicholas Lane
Affiliations: Samsung AI Center, Cambridge ⋅ University of Cambridge; Samsung AI Center, Cambridge
Conference: iclr 2021 (main track)
Keywords: NAS;ASR;Benchmark
Decision: Poster
Title: Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective
Authors: Wuyang Chen, Xinyu Gong, Zhangyang Wang
Affiliations: Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA
Conference: iclr 2021 (main track)
Keywords: Neural Architecture Search;neural tangent kernel;number of linear regions
Decision: Poster
Title: Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach
Authors: Malik Tiomoko, Hafiz Tiomoko Ali, Romain Couillet
Affiliations: Laboratoire des Signaux et Systèmes, Université Paris-Sud, Orsay, France; Huawei Technologies Research and Development (UK), London, UK; Gipsa Lab, Université Grenoble-Alpes, Saint Martin d’Hères, France
Conference: iclr 2021 (main track)
Keywords: Transfer Learning;Multi Task Learning;Random Matrix Theory
Decision: Spotlight
Title: SAFENet: A Secure, Accurate and Fast Neural Network Inference
Authors: Qian Lou, Yilin Shen, Hongxia Jin, Lei Jiang
Affiliations: Indiana University Bloomington; Samsung Research America
Conference: iclr 2021 (main track)
Keywords: Cryptographic inference;Channel-Wise Approximated Activation;Hyper-Parameter Optimization;Garbled Circuits
Decision: Poster
Title: MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning
Authors: Nanyi Fei, Zhiwu Lu, Tao Xiang, Songfang Huang
Affiliations: Gaoling School of Artiﬁcial Intelligence, Renmin University of China, Beijing, China; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China; University of Surrey, Guildford, Surrey, UK; Alibaba DAMO Academy, Hangzhou, China; School of Information, Renmin University of China, Beijing, China
Conference: iclr 2021 (main track)
Keywords: few-shot learning;episodic training;cross-episode attention
Decision: Poster
Title: Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Authors: Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella Yu
Affiliations: Nanyang Technological University; UC Berkeley / ICSI
Conference: iclr 2021 (main track)
Keywords: Long-tailed Recognition;Bias-variance Decomposition
Decision: Spotlight
Title: Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
Authors: Joshua Chang, Patrick A Fletcher, Jungmin Han, Ted Chang, Shashaank Vattikuti, Bart Desmet, Ayah Zirikly, Carson Chow
Affiliations: National Institutes of Health & med εrrata; National Institutes of Health; medεrrata; Walter Reed Army Institute of Research & medεrrata
Conference: iclr 2021 (main track)
Keywords: poisson matrix factorization;generalized additive model;probabilistic matrix factorization;bayesian;sparse coding;interpretability;factor analysis
Decision: Poster
Title: Shape-Texture Debiased Neural Network Training
Authors: Yinigwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan Yuille, Cihang Xie
Affiliations: University of California, Santa Cruz; Shanghai Jiaotong University; Johns Hopkins University; Google Brain
Conference: iclr 2021 (main track)
Keywords: data augmentation;representation learning;debiased training
Decision: Poster
Title: Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein
Authors: Khai Nguyen, Son Nguyen, Nhat Ho, Tung Pham, Hung Bui
Affiliations: VinAI Research, Vietnam; University of Texas, Austin; VinAI Research, Vietnam
Conference: iclr 2021 (main track)
Keywords: Relational regularized autoencoder;deep generative model;sliced fused Gromov Wasserstein;spherical distributions
Decision: Poster
Title: AdaSpeech: Adaptive Text to Speech for Custom Voice
Authors: Mingjian Chen, Xu Tan, Bohan Li, Eric Liu, Tao Qin, sheng zhao, Tie-Yan Liu
Affiliations: Microsoft Research Asia, Microsoft Azure Speech
Conference: iclr 2021 (main track)
Keywords: Text to speech;adaptation;fine-tuning;custom voice;acoustic condition modeling;conditional layer normalization
Decision: Poster
Title: A teacher-student framework to distill future trajectories
Authors: Alexander Neitz, Giambattista Parascandolo, Bernhard Schoelkopf
Affiliations: MPI for Intelligent Systems, Tübingen; MPI for Intelligent Systems, Tübingen, ETH, Zürich
Conference: iclr 2021 (main track)
Keywords: meta-learning;privileged information
Decision: Poster
Title: Efficient Continual Learning with Modular Networks and Task-Driven Priors
Authors: Tom Veniat, Ludovic Denoyer, Marc'Aurelio Ranzato
Affiliations: LIP6, Sorbonne Université, France; Facebook Artificial Intelligence Research
Conference: iclr 2021 (main track)
Keywords: Continual learning;Lifelong learning;Benchmark;Modular network;Neural Network
Decision: Poster
Title: Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
Authors: Wenhan Xiong, Xiang Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz
Affiliations: University of Massachusetts Amherst; University College London; University of California, Santa Barbara; Facebook AI
Conference: iclr 2021 (main track)
Keywords: multi-hop question answering;recursive dense retrieval;open domain complex question answering
Decision: Poster
Title: Deep Learning meets Projective Clustering
Authors: Alaa Maalouf, Harry Lang, Daniela Rus, Dan Feldman
Affiliations: CSAIL, MIT; Robotics & Big Data Labs, Department of Computer Science, University of Haifa
Conference: iclr 2021 (main track)
Keywords: Compressing Deep Networks;NLP;Matrix Factorization;SVD
Decision: Poster
Title: Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis
Authors: Zhipeng Bao, Yu-Xiong Wang, Martial Hebert
Affiliations: University of Illinois at Urbana-Champaign; Carnegie Mellon University
Conference: iclr 2021 (main track)
Keywords: computer vision;object recognition;few-shot learning;generative models;adversarial training
Decision: Poster
Title: Learning with AMIGo: Adversarially Motivated Intrinsic Goals
Authors: Andres Campero, Roberta Raileanu, Heinrich Kuttler, Joshua B Tenenbaum, Tim Rocktaeschel, Edward Grefenstette
Affiliations: New York University, New York, USA; Facebook AI Research, London, UK; University College London & Facebook AI Research, London, UK; Brain and Cognitive Sciences, MIT, Cambridge, USA
Conference: iclr 2021 (main track)
Keywords: reinforcement learning;exploration;meta-learning
Decision: Poster
Title: Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
Authors: David Klindt, Lukas Schott, Yash Sharma, Ivan Ustyuzhaninov, Wieland Brendel, Matthias Bethge, Dylan Paiton
Affiliations: University of Tübingen
Conference: iclr 2021 (main track)
Keywords: disentanglement;independent component analysis;natural scene statistics
Decision: Oral
Title: Hyperbolic Neural Networks++
Authors: Ryohei Shimizu, YUSUKE Mukuta, Tatsuya Harada
Affiliations: The University of Tokyo, RIKEN AIP; The University of Tokyo
Conference: iclr 2021 (main track)
Keywords: Hyperbolic Geometry;Poincaré Ball Model;Parameter-Reduced MLR;Geodesic-Aware FC Layer;Convolutional Layer;Attention Mechanism
Decision: Poster
Title: Neural gradients are near-lognormal: improved quantized and sparse training
Authors: Brian Chmiel, Liad Ben-Uri, Moran Shkolnik, Elad Hoffer, Ron Banner, Daniel Soudry
Affiliations: Habana Labs – An Intel company, Caesarea, Israel; Department of Electrical Engineering - Technion, Haifa, Israel
Conference: iclr 2021 (main track)
Decision: Poster
Title: NASLib: A Modular and Flexible Neural Architecture Search Library
Affiliations: Department of Computer Science, University of Freiburg; Department of Computer Science, University of Freiburg; Bosch Center for Artiﬁcial Intelligence
Conference: iclr 2021 (main track)
Keywords: Neural Architecture Search;Automated Machine Learning;Deep Learning;Open-Source;Software;Python;PyTorch
Decision: Withdraw
Title: Robust early-learning: Hindering the memorization of noisy labels
Authors: Xiaobo Xia, Tongliang Liu, Bo Han, Chen Gong, Nannan Wang, Zongyuan Ge, Yi Chang
Affiliations: School of Artiﬁcial Intelligence, Jilin University; Trustworthy Machine Learning Lab, School of Computer Science, The University of Sydney; Department of Computer Science, Hong Kong Baptist University; Medical AI Group, Faculty of Engineering, Monash University; School of Computer Science and Engineering, Nanjing University of Science and Technology; ISN State Key Laboratory, School of Telecommunications Engineering, Xidian University
Conference: iclr 2021 (main track)
Decision: Poster
Title: Support-set bottlenecks for video-text representation learning
Authors: Mandela Patrick, Po-Yao Huang, Yuki Asano, Florian Metze, Alexander G Hauptmann, Joao F. Henriques, Andrea Vedaldi
Affiliations: Facebook AI; Visual Geometry Group, University of Oxford; Language Technologies Institute, Carnegie Mellon University
Conference: iclr 2021 (main track)
Keywords: video representation learning;multi-modal learning;video-text learning;contrastive learning
Decision: Spotlight
Title: Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models
Authors: Zirui Wang, Yulia Tsvetkov, Orhan Firat, Yuan Cao
Affiliations: Google AI; Carnegie Mellon University; Carnegie Mellon University, Google AI
Conference: iclr 2021 (main track)
Keywords: Multi-task Learning;Multilingual Modeling
Decision: Spotlight
Title: CPR: Classifier-Projection Regularization for Continual Learning
Authors: Sungmin Cha, Hsiang Hsu, Taebaek Hwang, Flavio Calmon, Taesup Moon
Affiliations: Harvard University; Seoul National University; Sungkyunkwan University
Conference: iclr 2021 (main track)
Keywords: continual learning;regularization;wide local minima
Decision: Poster
Title: Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
Authors: T. Konstantin Rusch, Siddhartha Mishra
Affiliations: Seminar for Applied Mathematics (SAM), Department of Mathematics, ETH Zürich, Zürich, 8092, Switzerland
Conference: iclr 2021 (main track)
Keywords: RNNs;Oscillators;Gradient stability;Long-term dependencies
Decision: Oral
Title: Contrastive Syn-to-Real Generalization
Authors: Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jose M. Alvarez, Zhangyang Wang, Anima Anandkumar
Affiliations: NVIDIA; NVIDIA, California Institute of Technology; The University of Texas at Austin
Conference: iclr 2021 (main track)
Keywords: synthetic-to-real generalization;domain generalization
Decision: Poster
Title: Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs
Authors: Xingang Pan, Bo DAI, Ziwei Liu, Chen Change Loy, Ping Luo
Affiliations: The University of Hong Kong; S-Lab, Nanyang Technological University; The Chinese University of Hong Kong
Conference: iclr 2021 (main track)
Keywords: Generative Adversarial Network;3D Reconstruction
Decision: Oral
Title: A Critique of Self-Expressive Deep Subspace Clustering
Authors: Benjamin Haeffele, Chong You, Rene Vidal
Affiliations: Mathematical Institute for Data Science, Johns Hopkins University, Baltimore, MD, USA; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
Conference: iclr 2021 (main track)
Keywords: Subspace clustering;Manifold clustering;Theory of deep learning;Autoencoders
Decision: Poster
Title: Isometric Transformation Invariant and Equivariant Graph Convolutional Networks
Authors: Masanobu Horie, Naoki Morita, Toshiaki Hishinuma, Yu Ihara, Naoto Mitsume
Affiliations: University of Tsukuba, Research Institute for Computational Science Co. Ltd.; Research Institute for Computational Science Co. Ltd.; University of Tsukuba
Conference: iclr 2021 (main track)
Keywords: Machine Learning;Graph Neural Network;Invariance;Equivariance;Simulation;Mesh
Decision: Poster
Title: Linear Mode Connectivity in Multitask and Continual Learning
Authors: Seyed Iman Mirzadeh, Mehrdad Farajtabar, Dilan Gorur, Razvan Pascanu, Hassan Ghasemzadeh
Affiliations: DeepMind, USA; DeepMind, UK; Washington State University, USA
Conference: iclr 2021 (main track)
Keywords: continual learning;catastrophic forgetting;mode connectivity;multitask learning
Decision: Poster
Title: Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
Authors: Maruan Al-Shedivat, Jennifer Gillenwater, Eric P Xing, Afshin Rostamizadeh
Affiliations: CMU and Google; Google; MBZUAI & CMU
Conference: iclr 2021 (main track)
Keywords: federated learning;posterior inference;MCMC
Decision: Poster
Title: A Geometric Analysis of Deep Generative Image Models and Its Applications
Authors: Binxu Wang, Carlos Ponce
Affiliations: Department of Neuroscience, Washington University in St Louis, St Louis, MO, USA
Conference: iclr 2021 (main track)
Keywords: Deep generative model;Interpretability;GAN;Differential Geometry;Optimization;Model Inversion;Feature Visualization
Decision: Poster
Title: Unsupervised Object Keypoint Learning using Local Spatial Predictability
Authors: Anand Gopalakrishnan, Sjoerd van Steenkiste, Jürgen Schmidhuber
Affiliations: The Swiss AI Lab IDSIA, USI, SUPSI
Conference: iclr 2021 (main track)
Keywords: unsupervised representation learning;object-keypoint representations;visual saliency
Decision: Spotlight
Title: Learning Manifold Patch-Based Representations of Man-Made Shapes
Authors: Dmitriy Smirnov, Mikhail Bessmeltsev, Justin Solomon
Affiliations: MIT; Universit ´e de Montr ´eal
Conference: iclr 2021 (main track)
Keywords: 3D shape representations;CAD modeling;sketch-based modeling;computer graphics;computer vision;deep learning
Decision: Poster
Title: Legendre Deep Neural Network (LDNN) and its application for approximation of nonlinear Volterra–Fredholm–Hammerstein integral equations
Affiliations: Paper under double-blind review
Conference: iclr 2021 (main track)
Keywords: Deep neural network;Volterra–Fredholm–Hammerstein integral equations;Legendre orthogonal polynomials;Gaussian quadrature method;Collocation method
Decision: Reject
Title: Average-case Acceleration for Bilinear Games and Normal Matrices
Authors: Carles Domingo i Enrich, Fabian Pedregosa, Damien Scieur
Affiliations: Samsung SAIT AI Lab & Mila, Montreal, Canada; Google Research; Computer Science Department, Courant Institute of Mathematical Sciences, New York University, New York, NY 10012, USA
Conference: iclr 2021 (main track)
Keywords: Smooth games;First-order Methods;Acceleration;Bilinear games;Average-case Analysis;Orthogonal Polynomials
Decision: Poster
Title: Layer-adaptive Sparsity for the Magnitude-based Pruning
Authors: Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
Affiliations: KAIST EE; KAIST AIM; MBZUAI
Conference: iclr 2021 (main track)
Keywords: network pruning;layerwise sparsity;magnitude-based pruning
Decision: Poster
Title: Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent
Authors: El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault
Affiliations: ´Ecole Polytechnique, France; ´Ecole Polytechnique F´ed´erale de Lausanne (EPFL), Switzerland
Conference: iclr 2021 (main track)
Keywords: Byzantine SGD;Distributed ML;Momentum
Decision: Poster
Title: Explaining the Efficacy of Counterfactually Augmented Data
Authors: Divyansh Kaushik, Amrith Setlur, Eduard H Hovy, Zachary Lipton
Affiliations: Carnegie Mellon University, Pittsburgh, PA, USA
Conference: iclr 2021 (main track)
Keywords: humans in the loop;annotation artifacts;text classification;sentiment analysis;natural language inference
Decision: Poster