hunoutl/paperlists huggingface dataset:
Title: Extracting Strong Policies for Robotics Tasks from Zero-Order Trajectory Optimizers
Authors: Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Georg Martius
Affiliations: Autonomous Learning Group, Max Planck Institute for Intelligent Systems, Tübingen, Germany; Department of Engineering Cybernetics, NTNU, Trondheim, Norway; Autonomous Learning Group, Max Planck Institute for Intelligent Systems, Tübingen, Germany; Department of Computer Science, ETH Zurich and Max Planck ETH Center for Learning Systems; Autonomous Learning Group, Max Planck Institute for Intelligent Systems, Tübingen, Germany
Conference: iclr 2021 (main track)
Keywords: reinforcement learning;zero-order optimization;policy learning;model-based learning;robotics;model predictive control
Decision: Poster
Title: Shape or Texture: Understanding Discriminative Features in CNNs
Authors: Md Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Kosta Derpanis, Neil Bruce
Affiliations: Department of Computer Science, Ryerson University, Canada; Vector Institute for AI, Canada; Department of Computer Science, Ryerson University, Canada; Samsung AI Centre Toronto, Canada; Vector Institute for AI, Canada; School of Computer Science, University of Guelph, Canada; Vector Institute for AI, Canada; University of Waterloo, Canada; IWR, HCI, Heidelberg University, Germany
Conference: iclr 2021 (main track)
Keywords: Shape;Texture;Shape Bias;Texture Bias;Shape Encoding;Mutual Information
Decision: Poster
Title: WaveGrad: Estimating Gradients for Waveform Generation
Authors: Nanxin Chen, Yu Zhang, Heiga Zen, Ron Weiss, Mohammad Norouzi, William Chan
Affiliations: Johns Hopkins University, Center for Language and Speech Processing; Google Research, Brain Team
Conference: iclr 2021 (main track)
Keywords: vocoder;diffusion;score matching;text-to-speech;gradient estimation;waveform generation
Decision: Poster
Title: PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
Authors: Hehe Fan, Xin Yu, Yuhang Ding, Yi Yang, Mohan Kankanhalli
Affiliations: Baidu Research; School of Computing, National University of Singapore; ReLER, University of Technology Sydney
Conference: iclr 2021 (main track)
Keywords: Point cloud;spatio-temporal modeling;video analysis;action recognition;semantic segmentation;convolutional neural network
Decision: Poster
Title: Disentangled Recurrent Wasserstein Autoencoder
Authors: Jun Han, Martin Min, Ligong Han, Erran Li, Xuan Zhang
Affiliations: Rutgers University; PCG, Tencent; NEC Laboratories America; Texas A&M University; Alexa AI, Amazon
Conference: iclr 2021 (main track)
Keywords: Sequential  Representation Learning;Disentanglement;Recurrent Generative Model
Decision: Spotlight
Title: Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
Authors: Aviral Kumar, Rishabh Agarwal, Dibya Ghosh, Sergey Levine
Affiliations: Google Research, MILA, Université de Montréal; UC Berkeley, Google Research; UC Berkeley
Conference: iclr 2021 (main track)
Keywords: deep Q-learning;data-efficient RL;rank-collapse;offline RL
Decision: Poster
Title: Training independent subnetworks for robust prediction
Authors: Marton Havasi, Rodolphe Jenatton, Stanislav Fort, Jeremiah Zhe Liu, Jasper Snoek, Balaji Lakshminarayanan, Andrew Dai, Dustin Tran
Affiliations: Stanford University; Department of Engineering, University of Cambridge; Google Research & Harvard University; Google Research
Conference: iclr 2021 (main track)
Keywords: Efficient ensembles;robustness
Decision: Poster
Title: Active Contrastive Learning of Audio-Visual Video Representations
Authors: Shuang Ma, Zhaoyang Zeng, Daniel McDuff, Yale Song
Affiliations: Microsoft Research, Redmond, WA, USA; Microsoft, Redmond, WA, USA; Sun Yat-sen University, Guangzhou, China
Conference: iclr 2021 (main track)
Keywords: self-supervised learning;contrastive representation learning;active learning;audio-visual representation;video recognition
Decision: Poster
Title: Trusted Multi-View Classification
Authors: Zongbo Han, Changqing Zhang, Huazhu FU, Joey T Zhou
Affiliations: Inception Institute of Artiﬁcial Intelligence, Abu Dhabi, UAE; Institute of High Performance Computing, A*STAR, Singapore; College of Intelligence and Computing, Tianjin University, Tianjin, China
Conference: iclr 2021 (main track)
Keywords: Multi-Modal Learning;Multi-View Learning;Uncertainty Machine Learning
Decision: Poster
Title: Better Fine-Tuning by Reducing Representational Collapse
Authors: Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta
Affiliations: Facebook
Conference: iclr 2021 (main track)
Keywords: finetuning;nlp;representational learning;glue
Decision: Poster
Title: Multiplicative Filter Networks
Authors: Rizal Fathony, Anit Kumar Sahu, Devin Willmott, Zico Kolter
Affiliations: Bosch Center for Artiﬁcial Intelligence, Pittsburgh, PA; Bosch Center for Artiﬁcial Intelligence, Carnegie Mellon University, Pittsburgh, PA; Amazon Alexa AI, Seattle, WA
Conference: iclr 2021 (main track)
Keywords: Deep Architectures;Implicit Neural Representations;Fourier Features
Decision: Poster
Title: Neural Topic Model via Optimal Transport
Authors: He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray Buntine
Affiliations: Department of Data Science and Artiﬁcial Intelligence, Faculty of Information Technology, Monash University, Australia
Conference: iclr 2021 (main track)
Keywords: topic modelling;optimal transport;document analysis
Decision: Spotlight
Title: MOFA: Modular Factorial Design for Hyperparameter Optimization
Affiliations: Huawei Noah’s Ark Lab, China; University of Stuttgart, Germany; University of Stuttgart, Germany and University of Southampton, United Kingdom
Conference: iclr 2021 (main track)
Keywords: Automated Hyperparameter Optimization;Factorial Analysis;Model-Free;Sample Efficiency;Orthogonal Latin Hypercubes
Decision: Withdraw
Title: Exploring Balanced Feature Spaces for Representation Learning
Authors: Bingyi Kang, Yu Li, Sain Xie, Zehuan Yuan, Jiashi Feng
Affiliations: National University of Singapore; Institute of Computing Technology, CAS; ByteDance AI Lab
Conference: iclr 2021 (main track)
Keywords: Representation Learning;Contrastive Learning;Long-Tailed Recognition
Decision: Poster
Title: Mutual Information State Intrinsic Control
Authors: Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu
Affiliations: Ludwig Maximilian University of Munich, Siemens AG; Horizon Robotics; University of California, Berkeley; Tsinghua University
Conference: iclr 2021 (main track)
Keywords: Intrinsically Motivated Reinforcement Learning;Intrinsic Reward;Intrinsic Motivation;Deep Reinforcement Learning;Reinforcement Learning
Decision: Spotlight
Title: Semantic Re-tuning with Contrastive Tension
Authors: Fredrik Carlsson, Amaru C Gyllensten, Evangelia Gogoulou, Erik Y Hellqvist, Magnus Sahlgren
Affiliations: RISE - NLU Group
Conference: iclr 2021 (main track)
Keywords: Semantic Textual Similarity;Transformers;Language Modelling;Sentence Embeddings;Sentence Representations;Pre-training;Fine-tuning
Decision: Poster
Title: Negative Data Augmentation
Authors: Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon
Affiliations: Department of Computer Science, Stanford University; Samsung Research America
Conference: iclr 2021 (main track)
Keywords: generative models;self-supervised learning;data augmentation;anomaly detection
Decision: Poster
Title: CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding
Authors: Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Weizhu Chen, Jiawei Han
Affiliations: University of Illinois, Urbana-Champaign; Microsoft Dynamics 365 AI
Conference: iclr 2021 (main track)
Keywords: data augmentation;natural language understanding;consistency training;contrastive learning
Decision: Poster
Title: Learning Safe Multi-agent Control with Decentralized Neural Barrier Certificates
Authors: Zengyi Qin, Kaiqing Zhang, Yuxiao Chen, Jingkai Chen, Chuchu Fan
Affiliations: University of Illinois Urbana-Champaign; Massachusetts Institute of Technology; California Institute of Technology
Conference: iclr 2021 (main track)
Keywords: Multi-agent;safe;control barrier function;reinforcement learning
Decision: Poster
Title: Generating Adversarial Computer Programs using Optimized Obfuscations
Authors: Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly
Conference: iclr 2021 (main track)
Keywords: Machine Learning (ML) for Programming Languages (PL)/Software Engineering (SE);Adversarial computer programs;Program obfuscation;Combinatorial optimization;Differentiable program generator;Models for code
Decision: Poster
Title: BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction
Authors: Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, fengwei yu, Wei Wang, Shi Gu
Affiliations: University of Electronic Science and Technology of China; Not specified; SenseTime Research
Conference: iclr 2021 (main track)
Keywords: Post Training Quantization;Mixed Precision;Second-order analysis
Decision: Poster
Title: Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study
Authors: Zhiqiang Shen, Zhiqiang Shen, Dejia Xu, Zitian Chen, Kwang-Ting Cheng, Marios Savvides
Affiliations: UMass Amherst; Peking University; CMU; CMU & HKUST; HKUST
Conference: iclr 2021 (main track)
Keywords: label smoothing;knowledge distillation;image classification;neural machine translation;binary neural networks
Decision: Poster
Title: Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime
Authors: Atsushi Nitanda, Taiji Suzuki
Affiliations: Graduate School of Information Science and Technology, The University of Tokyo; Center for Advanced Intelligence Project, RIKEN; PRESTO, Japan Science and Technology Agency; Graduate School of Information Science and Technology, The University of Tokyo; Center for Advanced Intelligence Project, RIKEN
Conference: iclr 2021 (main track)
Keywords: stochastic gradient descent;two-layer neural network;over-parameterization;neural tangent kernel
Decision: Oral
Title: Byzantine-Resilient Non-Convex Stochastic Gradient Descent
Authors: Zeyuan Allen-Zhu, Faeze Ebrahimianghazani, Jerry Li, Dan Alistarh
Affiliations: Microsoft Research Redmond, jerrl@microsoft.com; Microsoft Research Redmond, zeyuan@csail.mit.edu; University of Waterloo, faezeeb75@gmail.com; IST Austria, dan.alistarh@ist.ac.at
Conference: iclr 2021 (main track)
Keywords: distributed machine learning;distributed deep learning;robust deep learning;non-convex optimization;Byzantine resilience
Decision: Poster
Title: Orthogonalizing Convolutional Layers with the Cayley Transform
Authors: Asher Trockman, Zico Kolter
Affiliations: Computer Science Department, Carnegie Mellon University & Bosch Center for AI; Computer Science Department, Carnegie Mellon University
Conference: iclr 2021 (main track)
Keywords: orthogonal layers;Lipschitz constrained networks;adversarial robustness
Decision: Spotlight
Title: Iterated learning for emergent systematicity in VQA
Authors: Ankit Vani, Max Schwarzer, Yuchen Lu, Eeshan Dhekane, Aaron Courville
Affiliations: Mila, Université de Montréal; Mila, Université de Montréal, CIFAR Fellow
Conference: iclr 2021 (main track)
Keywords: iterated learning;cultural transmission;neural module network;clevr;shapes;vqa;visual question answering;systematic generalization;compositionality
Decision: Oral
Title: Generative Time-series Modeling with Fourier Flows
Authors: Ahmed Alaa, Alex Chan, Mihaela van der Schaar
Affiliations: University of Cambridge, UK; University of California, Los Angeles, USA; Cambridge Center for AI in Medicine, UK; The Alan Turing Institute, UK; University of California, Los Angeles, USA; University of Cambridge, UK
Conference: iclr 2021 (main track)
Decision: Poster
Title: CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation
Authors: Xin Ding, Yongwei Wang, Zuheng Xu, William J Welch, Z. J Wang
Affiliations: The University of British Columbia
Conference: iclr 2021 (main track)
Keywords: Conditional generative adversarial networks;image generation;continuous and scalar conditions
Decision: Poster
Title: Prediction and generalisation over directed actions by grid cells
Authors: Changmin Yu, Timothy Behrens, Neil Burgess
Affiliations: Institute of Cognitive Neuroscience, UCL, London, UK; Centre for Artiﬁcial Intelligence, UCL, London, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK; Sainsbury Wellcome Centre, UCL, London, UK; Institute of Cognitive Neuroscience, UCL, London, UK; Sainsbury Wellcome Centre, UCL, London, UK
Conference: iclr 2021 (main track)
Keywords: Computational neuroscience;grid cells;normative models
Decision: Poster
Title: Score-Based Generative Modeling through Stochastic Differential Equations
Authors: Yang Song, Jascha Sohl-Dickstein, Durk Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole
Affiliations: Stanford University; Google Brain
Conference: iclr 2021 (main track)
Keywords: generative models;score-based generative models;stochastic differential equations;score matching;diffusion
Decision: Oral
Title: Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling
Authors: Jiahui Yu, Wei Han, Anmol Gulati, Chung-Cheng Chiu, Bo Li, Tara Sainath, Yonghui Wu, Ruoming Pang
Affiliations: Google LLC; Google Brain
Conference: iclr 2021 (main track)
Keywords: Speech Recognition;Streaming ASR;Low-latency ASR;Dual-mode ASR
Decision: Poster
Title: Neural Delay Differential Equations
Authors: Qunxi Zhu, Yao Guo, Wei Lin
Affiliations: School of Mathematical Science, Research Institute of Intelligent Complex Systems and ISTBI, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai 200433, China
Conference: iclr 2021 (main track)
Keywords: Delay differential equations;neural networks
Decision: Poster
Title: Reinforcement Learning with Random Delays
Authors: Yann Bouteiller, Simon Ramstedt, Giovanni Beltrame, Chris J Pal, Jonathan Binas
Affiliations: Polytechnique Montreal; Mila, Polytechnique Montreal; Mila, McGill University; Mila, University of Montreal
Conference: iclr 2021 (main track)
Keywords: Reinforcement Learning;Deep Reinforcement Learning
Decision: Poster
Title: Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency
Authors: Qiang Zhang, Tete Xiao, Alexei Efros, Lerrel Pinto, Xiaolong Wang
Affiliations: New York University; UC San Diego; Shanghai Jiao Tong University; UC Berkeley
Conference: iclr 2021 (main track)
Keywords: self-supervised learning;robotics
Decision: Oral
Title: Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization
Authors: Judith Borowski, Roland Zimmermann, Judith Schepers, Robert Geirhos, Thomas S Wallis, Matthias Bethge, Wieland Brendel
Affiliations: Institute of Psychology and Center for Cognitive Science, Technische Universität Darmstadt; University of Tübingen, Germany
Conference: iclr 2021 (main track)
Keywords: evaluation of interpretability;feature visualization;activation maximization;human psychophysics;understanding CNNs;explanation method
Decision: Poster
Title: Distributional Sliced-Wasserstein and Applications to Generative Modeling
Authors: Khai Nguyen, Nhat Ho, Tung Pham, Hung Bui
Affiliations: VinAI Research, Vietnam; University of Texas, Austin; VinAI Research, Vietnam
Conference: iclr 2021 (main track)
Keywords: Deep generative models;Sliced Wasserstein;Optimal Transport
Decision: Spotlight
Title: Stabilized Medical Image Attacks
Authors: Gege Qi, Lijun GONG, Yibing Song, Kai Ma, Yefeng Zheng
Affiliations: Tencent Jarvis Lab, Shenzhen, China; Tencent AI Lab, Shenzhen, China
Conference: iclr 2021 (main track)
Keywords: Healthcare;Biometrics
Decision: Spotlight
Title: AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
Authors: Ke Sun, Zhanxing Zhu, Zhouchen Lin
Affiliations: Zhejiang Lab, Key Lab. of Machine Perception (MoE), School of EECS, Peking University; Key Lab. of Machine Perception (MoE), School of EECS, Peking University, Pazhou Lab, Guangzhou, China; Beijing Institute of Big Data Research, Beijing, China
Conference: iclr 2021 (main track)
Keywords: Graph Neural Networks;AdaBoost
Decision: Poster
Title: Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory
Authors: Jason Ramapuram, Yan Wu, Alexandros Kalousis
Affiliations: University of Geneva & Geneva School of Business Administration, HES-SO; Currently at Apple; Deepmind; University of Geneva & Geneva School of Business Administration, HES-SO
Conference: iclr 2021 (main track)
Keywords: memory;generative model;latent variable;heap allocation
Decision: Poster
Title: Representation Balancing Offline Model-based Reinforcement Learning
Authors: Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim
Affiliations: School of Computing, KAIST, Daejeon, Republic of Korea; Gauss Labs Inc., Seoul, Republic of Korea; School of Computing, KAIST, Daejeon, Republic of Korea; Graduate School of AI, KAIST, Daejeon, Republic of Korea; School of Computing, KAIST, Daejeon, Republic of Korea
Conference: iclr 2021 (main track)
Keywords: Reinforcement Learning;Model-based Reinforcement Learning;Offline Reinforcement Learning;Batch Reinforcement Learning;Off-policy policy evaluation
Decision: Poster
Title: Simple Augmentation Goes a Long Way: ADRL for DNN Quantization
Authors: Lin Ning, Guoyang Chen, Weifeng Zhang, Xipeng Shen
Affiliations: North Carolina State University, Raleigh, NC, USA; Alibaba Group, Sunnyvale, CA, USA
Conference: iclr 2021 (main track)
Keywords: Reinforcement Learning;Quantization;mixed precision;augmented deep reinforcement learning;DNN
Decision: Poster
Title: Random Feature Attention
Authors: Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah Smith, Lingpeng Kong
Affiliations: Department of Computer Science, The University of Hong Kong; School of Computer Science & Engineering, Hebrew University of Jerusalem; Paul G. Allen School of Computer Science & Engineering, University of Washington; DeepMind
Conference: iclr 2021 (main track)
Keywords: Attention;transformers;machine translation;language modeling
Decision: Spotlight
Title: Domain-Robust Visual Imitation Learning with Mutual Information Constraints
Authors: Edoardo Cetin, Oya Celiktutan
Affiliations: Centre for Robotics Research, Department of Engineering, King’s College London
Conference: iclr 2021 (main track)
Keywords: Imitation Learning;Reinforcement Learning;Observational Imitation;Third-Person Imitation;Mutual Information;Domain Adaption;Machine Learning
Decision: Poster
Title: Transient Non-stationarity and Generalisation in Deep Reinforcement Learning
Authors: Maximilian Igl, Gregory Farquhar, Jelena Luketina, Wendelin Boehmer, Shimon Whiteson
Affiliations: Delft University of Technology; University of Oxford; University of Oxford, Now at DeepMind, London
Conference: iclr 2021 (main track)
Keywords: Reinforcement Learning;Generalization
Decision: Poster
Title: Adaptive Extra-Gradient Methods for Min-Max Optimization and Games
Authors: Kimon ANTONAKOPOULOS, E. Belmega, Panayotis Mertikopoulos
Affiliations: Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG, 38000 Grenoble, France & Criteo AI Lab; ETIS /ENSEA, Univ. de Cergy-Pontoise-CNRS, France; Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG, 38000 Grenoble, France
Conference: iclr 2021 (main track)
Keywords: min-max optimization;games;mirror-prox;adaptive methods;regime agnostic methods
Decision: Poster
Title: DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation
Authors: Alexandre Rame, MATTHIEU CORD
Affiliations: Sorbonne Universit ´e & valeo.ai, Paris, France; Sorbonne Universit ´e, Paris, France
Conference: iclr 2021 (main track)
Keywords: Deep Learning;Deep Ensembles;Information Theory;Information Bottleneck;Adversarial Learning
Decision: Poster
Title: Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy
Authors: Akinori Ebihara, Taiki Miyagawa, Kazuyuki Sakurai, Hitoshi Imaoka
Affiliations: NEC Corporation, RIKEN Center for Advanced Intelligence Project (AIP); NEC Corporation
Conference: iclr 2021 (main track)
Keywords: Sequential probability ratio test;Early classification;Density ratio estimation
Decision: Spotlight
Title: VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments
Authors: Lizhen Nie, Mao Ye, Qiang Liu, Dan Nicolae
Affiliations: Department of Computer Science, University of Texas at Austin; Department of Statistics, The University of Chicago
Conference: iclr 2021 (main track)
Keywords: causal inference;continuous treatment effect;doubly robustness
Decision: Oral
Title: Text Generation by Learning from Demonstrations
Authors: Richard Yuanzhe Pang, He He
Affiliations: Courant Institute of Mathematical Sciences, New York University, New York, NY 10011, USA; Courant Institute of Mathematical Sciences, New York University, New York, NY 10011, USA; Center for Data Science, New York University, New York, NY 10011, USA
Conference: iclr 2021 (main track)
Keywords: text generation;learning from demonstrations;nlp
Decision: Poster
Title: When does preconditioning help or hurt generalization?
Authors: Shun-ichi Amari, Jimmy Ba, Roger Grosse, Xuechen Li, Atsushi Nitanda, Taiji Suzuki, Denny Wu, Ji Xu
Affiliations: RIKEN CBS; Columbia University; University of Toronto, Vector Institute; University of Tokyo, RIKEN AIP; Google Research, Brain Team
Conference: iclr 2021 (main track)
Keywords: generalization;second-order optimization;natural gradient descent;high-dimensional asymptotics
Decision: Poster
Title: GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images
Authors: Sungmin Cha, Taeeon Park, Byeongjoon Kim, Jongduk Baek, Taesup Moon
Affiliations: Yonsei University; Seoul National University; Sungkyunkwan University
Conference: iclr 2021 (main track)
Keywords: blind denoising;unsupervised learning;iterative training;generative learning
Decision: Poster
Title: CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Authors: Ossama Ahmed, Frederik Träuble, Anirudh Goyal, Alexander Neitz, Manuel Wuthrich, Yoshua Bengio, Bernhard Schoelkopf, Stefan Bauer
Affiliations: Mila, University of Montreal; Max Planck Institute for Intelligent Systems; ETH Zurich
Conference: iclr 2021 (main track)
Keywords: reinforcement learning;transfer learning;sim2real transfer;domain adaptation;causality;generalization;robotics
Decision: Poster
Title: Neural Approximate Sufficient Statistics for Implicit Models
Authors: Yanzhi Chen, Dinghuai Zhang, Michael U Gutmann, Aaron Courville, Zhanxing Zhu
Affiliations: The University of Edinburgh; Beijing Institute of Big Data Research; MILA
Conference: iclr 2021 (main track)
Keywords: likelihood-free inference;bayesian inference;mutual information;representation learning;summary statistics
Decision: Spotlight
Title: AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly
Authors: Yuchen Jin, Tianyi Zhou, Liangyu Zhao, Yibo Zhu, Chuanxiong Guo, Marco Canini, Arvind Krishnamurthy
Affiliations: University of Washington; ByteDance Inc.; KAUST
Conference: iclr 2021 (main track)
Decision: Poster
Title: Probabilistic Numeric Convolutional Neural Networks
Authors: Marc Finzi, Roberto Bondesan, Max Welling
Affiliations: Qualcomm AI Research, New York University; Qualcomm AI Research
Conference: iclr 2021 (main track)
Keywords: probabilistic numerics;gaussian processes;discretization error;pde;superpixel;irregularly spaced time series;misssing data;spatial uncertainty
Decision: Poster
Title: $i$-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
Authors: Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee
Affiliations: University of Michigan, Amazon Web Services; University of Michigan; Google Cloud AI; KAIST; University of Michigan, LG AI Research
Conference: iclr 2021 (main track)
Keywords: self-supervised learning;unsupervised representation learning;contrastive representation learning;data augmentation;MixUp
Decision: Poster