hunoutl/paperlists huggingface dataset:
Title: The Hidden Convex Optimization Landscape of Regularized Two-Layer ReLU Networks: an Exact Characterization of Optimal Solutions
Authors: Yifei Wang, Jonathan Lacotte, Mert Pilanci
Affiliations: Department of Electrical Engineering, Stanford University
Conference: iclr 2022 (main track)
Keywords: Neural networks;global optimization;convex optimization;convex analysis
Decision: Oral
Title: SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search
Authors: Hyeonmin Ha, Ji Hoon Kim, Semin Park, Byung-Gon Chun
Affiliations: Yonsei University; Seoul National University; Seoul National University; FriendliAI; NA VER AI Lab, NA VER Corporation; NA VER CLOV A, NA VER Corporation
Conference: iclr 2022 (main track)
Keywords: Neural architecture search
Decision: Poster
Title: Stochastic Training is Not Necessary for Generalization
Authors: Jonas Geiping, Micah Goldblum, Phil Pope, Michael Moeller, Tom Goldstein
Affiliations: University of Siegen; University of Maryland
Conference: iclr 2022 (main track)
Keywords: Optimization;Generalization;Stochasticity;SGD;full-batch;implicit regularization;implicit bias
Decision: Poster
Title: It Takes Two to Tango: Mixup for Deep Metric Learning
Authors: Shashanka Venkataramanan, Bill Psomas, Ewa Kijak, laurent amsaleg, Konstantinos Karantzalos, Yannis Avrithis
Affiliations: Inria, Univ Rennes, CNRS, IRISA; Athena RC; National Technical University of Athens
Conference: iclr 2022 (main track)
Decision: Poster
Title: Generalisation in Lifelong Reinforcement Learning through Logical Composition
Authors: Geraud Nangue Tasse, Steven James, Benjamin Rosman
Affiliations: School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa
Conference: iclr 2022 (main track)
Keywords: Reinforcement Learning;Lifelong learning;Multi task learning;Transfer learning;Logical composition;Deep Reinforcement Learning
Decision: Poster
Title: Accelerated Policy Learning with Parallel Differentiable Simulation
Authors: Jie Xu, Viktor Makoviychuk, Yashraj Narang, Fabio Ramos, Wojciech Matusik, Animesh Garg, Miles Macklin
Affiliations: NVIDIA, University of Toronto; NVIDIA, Massachusetts Institute of Technology; NVIDIA; NVIDIA, University of Sydney; Massachusetts Institute of Technology
Conference: iclr 2022 (main track)
Keywords: Robot Control;Policy Learning;Differentiable Simulation;Reinforcement Learning
Decision: Poster
Title: Learning to Extend Molecular Scaffolds with Structural Motifs
Authors: Krzysztof Maziarz, Henry Jackson-Flux, Pashmina Cameron, Finton Sirockin, Nadine Schneider, Nikolaus Stiefl, Marwin Segler, Marc Brockschmidt
Affiliations: Microsoft Research, United Kingdom; Novartis, Switzerland
Conference: iclr 2022 (main track)
Keywords: molecules;graph neural networks;scaffold;generative model
Decision: Poster
Title: FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning
Authors: Charlie Hou, Kiran Thekumparampil, Giulia Fanti, Sewoong Oh
Affiliations: Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA; Allen School of Computer Science and Engineering, University of Washington, Seattle, Washington, USA; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA
Conference: iclr 2022 (main track)
Keywords: Federated Learning;Optimization;Distributed Optimization
Decision: Poster
Title: FastSHAP: Real-Time Shapley Value Estimation
Authors: Neil Jethani, Mukund Sudarshan, Ian Covert, Su-In Lee, Rajesh Ranganath
Affiliations: New York University; University of Washington
Conference: iclr 2022 (main track)
Keywords: interpretability;shapley;amortization;explainability;game theory
Decision: Poster
Title: Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
Authors: Matthew Farrell, Blake Bordelon, Shubhendu Trivedi, Cengiz Pehlevan
Affiliations: Harvard University; Massachusetts Institute of Technology
Conference: iclr 2022 (main track)
Keywords: representation learning;perceptron capacity;perceptual manifolds;equivariance;cover's theorem;vc dimension
Decision: Poster
Title: Towards Evaluating the Robustness of Neural Networks Learned by Transduction
Authors: Jiefeng Chen, Xi Wu, Yang Guo, Yingyu Liang, Somesh Jha
Affiliations: University of Wisconsin-Madison; Google; XaiPient
Conference: iclr 2022 (main track)
Keywords: adversarial robustness;transductive learning;test-time defense;dynamic defense;attacking model spaces
Decision: Poster
Title: PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior
Authors: Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu
Affiliations: Data Science & AI Lab., Seoul National University; Microsoft Research Asia; AIIS, ASRI, INMC, ISRC, NSI, and Interdisciplinary Program in Artiﬁcial Intelligence, Seoul National University
Conference: iclr 2022 (main track)
Keywords: diffusion-based model;generative model;speech synthesis
Decision: Poster
Title: F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
Authors: Qing Jin, Jian Ren, Richard Zhuang, Sumant Hanumante, Zhengang Li, Zhiyu Chen, Yanzhi Wang, Kaiyuan Yang, Sergey Tulyakov
Affiliations: Snap Inc.; Snap Inc. and Northeastern University, USA; Northeastern University, USA; Rice University, USA
Conference: iclr 2022 (main track)
Keywords: Neural Network Quantization;Fixed-Point Arithmetic
Decision: Oral
Title: CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention
Authors: Wenxiao Wang, Lu Yao, Long Chen, Binbin Lin, Deng Cai, Xiaofei He, Wei Liu
Affiliations: Data Platform, Tencent; State Key Lab of CAD & CG, Zhejiang University; School of Software Technology, Zhejiang University; Columbia University
Conference: iclr 2022 (main track)
Keywords: vision transformers;architecture
Decision: Poster
Title: Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization
Authors: Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Affiliations: Department of Electrical and Computer Engineering, University of Texas at Austin; Department of Computer Science and Engineering, Michigan State University
Conference: iclr 2022 (main track)
Keywords: federated learning
Decision: Poster
Title: CURVATURE-GUIDED DYNAMIC SCALE NETWORKS FOR MULTI-VIEW STEREO
Authors: Khang Truong Giang, Soohwan Song, Sungho Jo
Affiliations: School of Computing, KAIST, Daejeon, 34141, Republic of Korea; Intelligent Robotics Research Division, ETRI, Daejeon 34129, Republic of Korea
Conference: iclr 2022 (main track)
Keywords: multi-view stereo;3D reconstruction;dynamic scale
Decision: Poster
Title: A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications
Authors: Fuchao Wei, Chenglong Bao, Yang Liu
Affiliations: Department of Computer Science and Technology, Tsinghua University; Yanqi Lake Beijing Institute of Mathematical Sciences and Applications; Yau Mathematical Sciences Center, Tsinghua University
Conference: iclr 2022 (main track)
Keywords: Anderson mixing;sequence acceleration;fixed-point iteration;nonconvex optimization;stochastic optimization
Decision: Poster
Title: Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
Authors: Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu
Affiliations: University of Electronic Science and Technology of China, Shenzhen Institute for Advanced Study, UESTC; University of Electronic Science and Technology of China, Shenzhen Institute for Advanced Study, UESTC, Peng Cheng Laboratory; Peking University; Yale University
Conference: iclr 2022 (main track)
Keywords: Spiking Neural Networks;Direct Training;Surrogate Gradient;Generalizability
Decision: Poster
Title: Generalizing Few-Shot NAS with Gradient Matching
Authors: Shoukang Hu, Ruochen Wang, Lanqing HONG, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng
Affiliations: University of California, Los Angeles; Huawei Noah’s Ark Lab; National University of Singapore; The Chinese University of Hong Kong
Conference: iclr 2022 (main track)
Decision: Poster
Title: The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models
Authors: Cassidy Laidlaw, Anca Dragan
Affiliations: University of California, Berkeley
Conference: iclr 2022 (main track)
Keywords: human model;boltzmann rationality;suboptimality;HRI;human-robot collaboration;generative models;reinforcement learning;deep RL
Decision: Poster
Title: Path Integral Sampler: A Stochastic Control Approach For Sampling
Authors: Qinsheng Zhang, Yongxin Chen
Affiliations: Center for Machine Learning, Georgia Institute of Technology; School of Aerospace Engineering, Georgia Institute of Technology
Conference: iclr 2022 (main track)
Keywords: Sampling;Path Integral;Stochastic Differential Equation;MCMC
Decision: Poster
Title: Geometric and Physical Quantities improve E(3) Equivariant Message Passing
Authors: Johannes Brandstetter, Rob Hesselink, Elise van der Pol, Erik Bekkers, Max Welling
Affiliations: University of Amsterdam, Johannes Kepler University Linz; University of Amsterdam; UvA-Bosch DeltaLab, University of Amsterdam
Conference: iclr 2022 (main track)
Keywords: equivariant graph neural networks;steerable message passing;non-linear convolutions;molecular modeling;covariant information
Decision: Spotlight
Title: Distributionally Robust Models with Parametric Likelihood Ratios
Authors: Paul Michel, Tatsunori Hashimoto, Graham Neubig
Affiliations: Centre Sciences des Données, École normale supérieure PSL, Paris, 75005, France; School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA; Computer Science Department, Stanford University, Stanford, CA 94305, USA
Conference: iclr 2022 (main track)
Keywords: distributionally robust optimization;fairness;deep learning;robustness;adversarial learning
Decision: Poster
Title: Memory Replay with Data Compression for Continual Learning
Authors: Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing HONG, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu
Affiliations: Huawei Noah’s Ark Lab; School of Life Sciences, IDG/McGovern Institute for Brain Research, Tsinghua University; Gaoling School of AI, Renmin University of China; Dept. of Comp. Sci. & Tech., Institute for AI, BNRist Center, THBI Lab, Tsinghua University
Conference: iclr 2022 (main track)
Keywords: Continual Learning;Memory Replay;Data Compression
Decision: Poster
Title: Unrolling PALM for Sparse Semi-Blind Source Separation
Authors: Mohammad Fahes, Christophe Kervazo, Jerome Bobin, Florence Tupin
Affiliations: CEA Saclay, Gif-sur-Yvette, France; LTCI, Télémécom Paris, Institut Polytechnique de Paris, Palaiseau, France
Conference: iclr 2022 (main track)
Keywords: Algorithm Unrolling/Unfolding;Blind Source Separation;Sparse Representations;Multi-Convex Optimization;Hyper-parameter Choice
Decision: Poster
Title: Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps
Authors: Nico Courts, Henry Kvinge
Affiliations: University of Washington, Paciﬁc Northwest National Laboratory; Paciﬁc Northwest National Laboratory, University of Washington
Conference: iclr 2022 (main track)
Keywords: generative models;applications of topology to deep learning;many-to-one maps;invertible neural nets
Decision: Poster
Title: Divisive Feature Normalization Improves Image Recognition Performance in AlexNet
Authors: Michelle Miller, SueYeon Chung, Ken Miller
Affiliations: Center for Neural Science, New York University; Flatiron Institute, Simons Foundation; Center for Theoretical Neuroscience, Columbia University; Swartz Program in Theoretical Neuroscience, Kavli Institute for Brain Science, Department of Neuroscience, College of Physicians and Surgeons, Zuckerman Mind Brain Behavior Institute, Columbia University
Conference: iclr 2022 (main track)
Keywords: divisive normalization;AlexNet;ImageNet;CIFAR-100;manifold capacity;sparsity;receptive fields;Batch Normalization;Group Normalization;Layer Normalization
Decision: Poster
Title: On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks
Authors: Maximilian Seitzer, Arash Tavakoli, Dimitrije Antic, Georg Martius
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; University of Tübingen, Tübingen, Germany
Conference: iclr 2022 (main track)
Keywords: Uncertainty Estimation;Probabilistic Neural Networks;Aleatoric Uncertainty;Heteroscedastic Uncertainty;Analysis
Decision: Poster
Title: Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs
Authors: Jaewoong Choi, Junho Lee, Changyeon Yoon, Jung Ho Park, Geonho Hwang, Myungjoo Kang
Affiliations: Seoul National University
Conference: iclr 2022 (main track)
Keywords: generative adversarial network;disentanglement;semantic factorization;latent space control;image manipulation;grassmannian
Decision: Poster
Title: Mimicking Randomized Controlled Trials to Learn End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation
Affiliations: Paper under double-blind review
Conference: iclr 2022 (main track)
Keywords: causal treatment effect estimation;representation learning;self-supervised learning;end-to-end causal effect estimation;randomized controlled trials
Decision: Withdraw
Title: Rethinking Class-Prior Estimation for Positive-Unlabeled Learning
Authors: Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Gang Niu, Masashi Sugiyama, Dacheng Tao
Affiliations: RIKEN AIP; Hong Kong Baptist University; The University of Melbourne; The University of Sydney; JD Explore Academy, China
Conference: iclr 2022 (main track)
Keywords: Positive-Unlabeled Learning;Class-Prior Estimation
Decision: Poster
Title: RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning
Authors: Xiaojian Ma, Weili Nie, Zhiding Yu, Huaizu Jiang, Chaowei Xiao, Yuke Zhu, Song-Chun Zhu, Anima Anandkumar
Affiliations: NVIDIA & Caltech; NVIDIA; Northeastern University; NVIDIA & ASU; NVIDIA & UT Austin; UCLA
Conference: iclr 2022 (main track)
Keywords: visual relational reasoning;representation learning;systematic generalization
Decision: Poster
Title: WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection
Authors: Liang Peng, Senbo Yan, Boxi Wu, Zheng Yang, Xiaofei He, Deng Cai
Affiliations: State Key Lab of CAD&CG, Zhejiang University; FABU Inc.; State Key Lab of CAD&CG, Zhejiang University; FABU Inc.
Conference: iclr 2022 (main track)
Keywords: Computer vision;monocular 3D object detection;weakly supervised
Decision: Poster
Title: Neural Stochastic Dual Dynamic Programming
Authors: Hanjun Dai, Yuan Xue, Zia Syed, Dale Schuurmans, Bo Dai
Affiliations: Google Cloud AI; Google Research, Brain Team
Conference: iclr 2022 (main track)
Keywords: data-driven algorithm design;learning to optimize;multi-stage stochastic optimization;primal-dual dynamic programming
Decision: Poster
Title: Boosted Curriculum Reinforcement Learning
Authors: Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
Affiliations: Department of Electrical Engineering and Automation, Aalto University, Finland; Department of Computer Science, TU Darmstadt, Germany
Conference: iclr 2022 (main track)
Keywords: reinforcement learning;curriculum learning;boosting;residual learning
Decision: Poster
Title: Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions
Authors: Nicholas Gao, Stephan Günnemann
Affiliations: Department of Informatics & Munich Data Science Institute, Technical University of Munich, Germany
Conference: iclr 2022 (main track)
Keywords: Graph Neural Networks;Computational Physics;Self-Generative Learning;Machine Learning for Science
Decision: Spotlight
Title: Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
Authors: Benjamin Hudson, Qingbiao Li, Matthew Malencia, Amanda Prorok
Affiliations: Department of Electrical and Systems Engineering, University of Pennsylvania; Department of Computer Science and Technology, University of Cambridge
Conference: iclr 2022 (main track)
Keywords: Traveling Salesman Problem;Graph Neural Network;Metaheuristic;Guided Local Search;Hybrid
Decision: Poster
Title: Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface
Authors: Tuan Anh Le, Katherine Collins, Luke Hewitt, Kevin Ellis, Siddharth N, Samuel Gershman, Joshua B Tenenbaum
Affiliations: Harvard University; Cornell University; MIT; University of Edinburgh & The Alan Turing Institute
Conference: iclr 2022 (main track)
Keywords: wake-sleep;variational inference;neuro-symbolic generative models
Decision: Poster
Title: Learning Features with Parameter-Free Layers
Authors: Dongyoon Han, YoungJoon Yoo, Beomyoung Kim, Byeongho Heo
Affiliations: NAVER AI Lab, NAVER CLOVA; NAVER CLOVA; NAVER AI Lab
Conference: iclr 2022 (main track)
Keywords: ImageNet;efficient network architecture;network design;image classification
Decision: Poster
Title: Evaluating Distributional Distortion in Neural Language Modeling
Authors: Benjamin LeBrun, Alessandro Sordoni, Timothy O'Donnell
Affiliations: McGill University, Mila – Quebec Artiﬁcial Intelligence Institute, Canada CIFAR AI Chair, Mila; Microsoft Research; McGill University, Mila – Quebec Artiﬁcial Intelligence Institute
Conference: iclr 2022 (main track)
Decision: Poster
Title: DIVA: Dataset Derivative of a Learning Task
Authors: Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto
Affiliations: Amazon Web Services; Amazon Web Services and Department of Mathematics, University of California, Los Angeles
Conference: iclr 2022 (main track)
Keywords: Leave one out cross validation;AutoML;dataset optimization
Decision: Poster
Title: Online Adversarial Attacks
Authors: Andjela Mladenovic, Joey Bose, Hugo Berard, William Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel
Affiliations: Mila, Université de Montréal; Mila, McGill University
Conference: iclr 2022 (main track)
Keywords: Online Algorithms;Adversarial Attacks
Decision: Poster
Title: A NON-PARAMETRIC REGRESSION VIEWPOINT : GENERALIZATION OF OVERPARAMETRIZED DEEP RELU NETWORK UNDER NOISY OBSERVATIONS
Authors: Namjoon Suh, Hyunouk Ko, Xiaoming Huo
Affiliations: H.Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Conference: iclr 2022 (main track)
Keywords: Overparametrized Deep Neural Network;Neural Tangent Kernel;Minimax;Non-parametric regression
Decision: Poster
Title: Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning
Authors: Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao
Affiliations: Institute for AI Industry Research, Tsinghua University, China; JD Explore Academy, JD.com Inc, China
Conference: iclr 2022 (main track)
Keywords: unlearnable examples;adversarial training;privacy
Decision: Poster
Title: Learning Efficient Online 3D Bin Packing on Packing Configuration Trees
Authors: Hang Zhao, Yang Yu, Kai Xu
Affiliations: School of Computer Science, National University of Defense Technology, China; National Key Lab for Novel Software Technology, Nanjing University, China
Conference: iclr 2022 (main track)
Keywords: Bin Packing Problem;Online 3D-BPP;Reinforcement Learning
Decision: Poster
Title: Subspace Regularizers for Few-Shot Class Incremental Learning
Authors: Afra Feyza Akyürek, Ekin Akyürek, Derry Wijaya, Jacob Andreas
Affiliations: Boston University; MIT CSAIL
Conference: iclr 2022 (main track)
Keywords: few-shot class incremental learning;incremental learning;incremental classification;subspace regularization;manifold regularization;few-shot learning
Decision: Poster
Title: Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods
Authors: Xueyuan She, Saurabh Dash, Saibal Mukhopadhyay
Affiliations: School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
Conference: iclr 2022 (main track)
Keywords: spiking neural network;spatiotemporal processing;feedforward network
Decision: Poster
Title: Generalized Natural Gradient Flows in Hidden Convex-Concave Games and GANs
Authors: Andjela Mladenovic, Iosif Sakos, Gauthier Gidel, Georgios Piliouras
Affiliations: SUTD; Univ. of Montr´eal & Mila
Conference: iclr 2022 (main track)
Decision: Poster
Title: How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning
Authors: Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang Yoo, In Kweon
Affiliations: Korea Advanced Institute of Science and Technology (KAIST), South Korea
Conference: iclr 2022 (main track)
Keywords: SimSiam;Negative samples;SSL;Collapse;Covariance
Decision: Poster
Title: SketchODE: Learning neural sketch representation in continuous time
Authors: Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song
Affiliations: SketchX, CVSSP, University of Surrey, UK; School of Informatics, University of Edinburgh, UK; SketchX, CVSSP, University of Surrey, UK; iFlyTek-Surrey Joint Research Centre on Artificial Intelligence; School of Informatics, University of Edinburgh, UK
Conference: iclr 2022 (main track)
Keywords: Chirography;Sketch;Free-form;Neural ODE
Decision: Poster
Title: GiraffeDet: A Heavy-Neck Paradigm for Object Detection
Authors: yiqi jiang, Zhiyu Tan, Junyan Wang, Xiuyu Sun, Ming Lin, Li Hao
Affiliations: DAMO Academy, Alibaba Group
Conference: iclr 2022 (main track)
Keywords: Object Detection;fpn;space-to-depth;representation
Decision: Poster
Title: Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift
Authors: Taesung Kim, Jinhee Kim, Yunwon Tae, Cheonbok Park, Jang-Ho Choi, Jaegul Choo
Affiliations: NAVER Corp.; KAIST AI; ETRI; VUNO
Conference: iclr 2022 (main track)
Keywords: Time-series forecasting;Normalization;Distribution shift
Decision: Poster
Title: Label Leakage and Protection in Two-party Split Learning
Authors: Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang
Affiliations: Carnegie Mellon University, ByteDance Inc.; Carnegie Mellon University; ByteDance Inc.
Conference: iclr 2022 (main track)
Keywords: Split Learning;label leakage;privacy;privacy protection
Decision: Poster
Title: Learning more skills through optimistic exploration
Authors: DJ Strouse, Kate Baumli, David Warde-Farley, Volodymyr Mnih, Steven Hansen
Affiliations: DeepMind
Conference: iclr 2022 (main track)
Keywords: intrinsic control;skill discovery;unsupervised skill learning;uncertainty estimation;optimistic exploration;variational information maximization
Decision: Spotlight
Title: Adversarial Robustness Through the Lens of Causality
Authors: Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schoelkopf, Kun Zhang
Conference: iclr 2022 (main track)
Keywords: Adversarial examples;Causality
Decision: Poster
Title: Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality
Authors: Jiawei Huang, Jinglin Chen, Li Zhao, Tao Qin, Nan Jiang, Tie-Yan Liu
Affiliations: Microsoft Research Asia; Department of Computer Science, University of Illinois at Urbana-Champaign
Conference: iclr 2022 (main track)
Keywords: reinforcement learning theory;deployment efficiency;linear MDP
Decision: Spotlight
Title: Deep ReLU Networks Preserve Expected Length
Authors: Boris Hanin, Ryan Jeong, David Rolnick
Affiliations: School of Computer Science, McGill University, Montr´eal, QC H3A 0G4 Canada; Dept. of Mathematics, University of Pennsylvania, Philadelphia, PA 19104 USA; Dept. of Operations Research & Financial Engineering, Princeton University, Princeton, NJ 08544 USA
Conference: iclr 2022 (main track)
Keywords: deep learning theory;random ReLU networks;length distortion;initialization;expressivity
Decision: Poster