hunoutl/paperlists huggingface dataset:
Title: HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
Authors: Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Cong Hao, Yingyan Lin
Affiliations: Department of Electrical and Computer Engineering, Rice University
Conference: iclr 2021 (main track)
Keywords: Hardware-Aware Neural Architecture Search;AutoML;Benchmark
Decision: Spotlight
Title: Return-Based Contrastive Representation Learning for Reinforcement Learning
Authors: Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Li Jian, Nenghai Yu, Tie-Yan Liu
Affiliations: University of Science and Technology of China; IIIS, Tsinghua University; Microsoft Research
Conference: iclr 2021 (main track)
Keywords: reinforcement learning;auxiliary task;representation learning;contrastive learning
Decision: Poster
Title: Understanding the role of importance weighting for deep learning
Authors: Da Xu, Yuting Ye, Chuanwei Ruan
Affiliations: Division of Biostatistics, University of California, Berkeley, Berkeley, CA 94720, USA; Instacart, San Francisco, CA 94107, USA; Walmart Labs, Sunnyvale, CA 94086, USA
Conference: iclr 2021 (main track)
Keywords: Importance Weighting;Deep Learning;Implicit Bias;Gradient Descent;Learning Theory
Decision: Spotlight
Title: Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies
Authors: Dominik Schmidt, Georgia Koppe, Zahra Monfared, Max Beutelspacher, Daniel Durstewitz
Affiliations: Department of Theoretical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University & Faculty of Physics and Astronomy, Heidelberg University & Bernstein Center Computational Neuroscience; Department of Theoretical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University; Department of Theoretical Neuroscience, Clinic for Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University
Conference: iclr 2021 (main track)
Keywords: nonlinear dynamical systems;recurrent neural networks;attractors;computational neuroscience;vanishing gradient problem;LSTM
Decision: Spotlight
Title: Online Adversarial Purification based on Self-supervised Learning
Authors: Changhao Shi, Chester Holtz, Gal Mishne
Affiliations: Department of Electrical and Computer Engineering, University of California, San Diego; Department of Computer Science and Engineering, University of California, San Diego; The Halıcıo ˘glu Data Science Institute, University of California, San Diego
Conference: iclr 2021 (main track)
Keywords: Adversarial Robustness;Self-Supervised Learning
Decision: Poster
Title: Decentralized Attribution of Generative Models
Authors: Changhoon Kim, Yi Ren, 'YZ' Yezhou Yang
Affiliations: School for Engineering of Matter, Transport, and Energy, Arizona State University; School of Computing, Informatics, and Decision Systems Engineering, Arizona State University
Conference: iclr 2021 (main track)
Keywords: GANs;Generative Model;Deepfake;Model Attribution
Decision: Poster
Title: Adversarially Guided Actor-Critic
Authors: Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, philippe preux, Matthieu Geist
Affiliations: Google Research, Brain team; Inria, Scool team, Univ. Lille, CRIStAL, CNRS; Google Research, Brain team, Inria, Scool team, Univ. Lille, CRIStAL, CNRS
Conference: iclr 2021 (main track)
Decision: Poster
Title: Are wider nets better given the same number of parameters?
Authors: Anna Golubeva, Guy Gur-Ari, Behnam Neyshabur
Affiliations: Blueshift, Alphabet, Mountain View, CA; Perimeter Institute for Theoretical Physics, Waterloo, Canada
Conference: iclr 2021 (main track)
Keywords: network width;over-parametrization;understanding deep learning
Decision: Poster
Title: DiffWave: A Versatile Diffusion Model for Audio Synthesis
Authors: Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro
Affiliations: Baidu Research; NVIDIA; Computer Science and Engineering, UCSD
Conference: iclr 2021 (main track)
Keywords: diffusion probabilistic models;audio synthesis;speech synthesis;generative models
Decision: Oral
Title: Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models
Authors: Justin Bayer, Maximilian Soelch, Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt
Affiliations: Machine Learning Research Lab, Volkswagen Group, Munich, Germany
Conference: iclr 2021 (main track)
Keywords: variational inference;state-space models;amortized inference;recurrent networks
Decision: Poster
Title: Chaos of Learning Beyond Zero-sum and Coordination via Game Decompositions
Authors: Yun Kuen Cheung, Yixin Tao
Affiliations: Department of Computer Science, Royal Holloway University of London, Egham, UK; Department of Mathematics, London School of Economics, London, UK
Conference: iclr 2021 (main track)
Keywords: Learning in Games;Lyapunov Chaos;Game Decomposition;Multiplicative Weights Update;Follow-the-Regularized-Leader;Volume Analysis;Dynamical Systems
Decision: Poster
Title: Prototypical Representation Learning for Relation Extraction
Authors: Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Hai-Tao Zheng, Rui Zhang
Affiliations: ; Alibaba Group; Sun Yat-sen University; The University of Edinburgh; Tsinghua University
Conference: iclr 2021 (main track)
Keywords: NLP;Relation Extraction;Representation Learning
Decision: Poster
Title: Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling
Authors: Yang Zhao, Jianwen Xie, Ping Li
Affiliations: Cognitive Computing Lab, Baidu Research, 10900 NE 8th St. Bellevue, WA 98004, USA
Conference: iclr 2021 (main track)
Keywords: Energy-based model;generative model;image translation;Langevin dynamics
Decision: Poster
Title: Efficient Inference of Flexible Interaction in Spiking-neuron Networks
Authors: Feng Zhou, Yixuan Zhang, Jun Zhu
Affiliations: Dept. of Comp. Sci. & Tech., BNRist Center, THU-Bosch Joint ML Center, Tsinghua University; Data Science Institute, University of Technology Sydney
Conference: iclr 2021 (main track)
Keywords: neural spike train;nonlinear Hawkes process;auxiliary latent variable;conjugacy
Decision: Poster
Title: The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods
Authors: Louis THIRY, Michael Arbel, Eugene Belilovsky, Edouard Oyallon
Affiliations: Département d’Informatique de l’ENS, ENS, CNRS, PSL University, Paris, France; Concordia University and Mila, Montreal, Canada; Gatsby Computational Neuroscience Unit, University College London, London, United Kingdom; CNRS, LIP6, Sorbonne University, Paris, France
Conference: iclr 2021 (main track)
Keywords: convolutional kernel methods;image classification
Decision: Poster
Title: Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders
Authors: Mangal Prakash, Alexander Krull, Florian Jug
Affiliations: Center for Systems Biology Dresden, Max-Planck Institute (CBG), Dresden, Germany; Fondazione Human Technopole, Milano, Italy; School of Computer Science, University of Birmingham, Birmingham, UK; Center for Systems Biology Dresden, Max-Planck Institute (CBG), Dresden, Germany
Conference: iclr 2021 (main track)
Keywords: Diversity denoising;Unsupervised denoising;Variational Autoencoders;Noise model
Decision: Poster
Title: Adaptive and Generative Zero-Shot Learning
Authors: Yu-Ying Chou, Hsuan-Tien Lin, Tyng-Luh Liu
Affiliations: Department of Computer Science, National Taiwan University, Taiwan; Institute of Information Science, Academia Sinica, Taiwan; Institute of Information Science, Academia Sinica, Taiwan2Taiwan AI Labs, Taiwan
Conference: iclr 2021 (main track)
Keywords: Generalized zero-shot learning;mixup
Decision: Poster
Title: A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
Authors: Leon Lang, Maurice Weiler
Affiliations: AMLab, CSL, University of Amsterdam; AMLab, QUV A Lab, University of Amsterdam
Conference: iclr 2021 (main track)
Keywords: Group Equivariant Convolution;Steerable Kernel;Quantum Mechanics;Wigner-Eckart Theorem;Representation Theory;Harmonic Analysis;Peter-Weyl Theorem
Decision: Poster
Title: Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation
Authors: Mrigank Raman, Aaron Chan, Siddhant Agarwal, PeiFeng Wang, Hansen Wang, Sungchul Kim, Ryan Rossi, Handong Zhao, Nedim Lipka, Xiang Ren
Affiliations: Indian Institute of Technology, Kharagpur; Indian Institute of Technology, Delhi; University of Southern California; Adobe Research; Tsinghua University
Conference: iclr 2021 (main track)
Keywords: neural symbolic reasoning;interpretability;model explanation;faithfulness;knowledge graph;commonsense question answering;recommender system
Decision: Poster
Title: Systematic generalisation with group invariant predictions
Authors: Faruk Ahmed, Yoshua Bengio, Harm van Seijen, Aaron Courville
Affiliations: Université de Montréal, Mila, CIFAR Fellow; Université de Montréal, Mila; Microsoft Research
Conference: iclr 2021 (main track)
Keywords: Systematic generalisation;invariance penalty;semantic anomaly detection
Decision: Spotlight
Title: Wasserstein-2 Generative Networks
Authors: Alexander Korotin, Vage Egiazarian, Arip Asadulaev, Alexander Safin, Evgeny Burnaev
Affiliations: Skolkovo Institute of Science and Technology, Moscow, Russia; ITMO University, Saint Petersburg, Russia
Conference: iclr 2021 (main track)
Keywords: wasserstein-2 distance;optimal transport maps;non-minimax optimization;cycle-consistency regularization;input-convex neural networks
Decision: Poster
Title: AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition
Authors: Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogerio Feris
Affiliations: Boston University; MIT-IBM Watson AI Lab; Massachusetts Institute of Technology; IBM Research
Conference: iclr 2021 (main track)
Decision: Poster
Title: Graph Information Bottleneck for Subgraph Recognition
Authors: Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
Affiliations: Tencent AI LAB, China; NLPR&CRIPAC, Institute of Automation, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China and Tencent AI LAB, China; NLPR&CRIPAC, Institute of Automation, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China and Center for Excellence in Brain Science and Intelligence Technology, CAS, China
Conference: iclr 2021 (main track)
Decision: Poster
Title: Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
Authors: Zhenfang Chen, Jiayuan Mao, Jiajun Wu, Kwan-Yee K Wong, Joshua B Tenenbaum, Chuang Gan
Affiliations: MIT BCS, CBMM, CSAIL; The University of Hong Kong; MIT-IBM Watson AI Lab; Stanford University; MIT CSAIL
Conference: iclr 2021 (main track)
Keywords: Concept Learning;Neuro-Symbolic Learning;Video Reasoning;Visual Reasoning
Decision: Poster
Title: Cut out the annotator, keep the cutout: better segmentation with weak supervision
Authors: Sarah Hooper, Michael Wornow, Ying Seah, Peter Kellman, Hui Xue, Frederic Sala, Curtis Langlotz, Christopher Re
Affiliations: Department of Radiology, Stanford University, Stanford CA, USA; National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda MD, USA; Department of Computer Science, Stanford University, Stanford CA, USA; Department of Electrical Engineering, Stanford University, Stanford CA, USA
Conference: iclr 2021 (main track)
Keywords: Weak supervision;segmentation;CNN;latent variable;medical imaging
Decision: Poster
Title: Memory Optimization for Deep Networks
Authors: Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krähenbühl
Affiliations: University of Texas at Austin; University of Texas at Austin, VMware Research
Conference: iclr 2021 (main track)
Keywords: memory optimized training;memory efficient training;checkpointing;deep network training
Decision: Spotlight
Title: Fourier Neural Operator for Parametric Partial Differential Equations
Authors: Zongyi Li, Nikola B Kovachki, Kamyar Azizzadenesheli, Burigede liu, Kaushik Bhattacharya, Andrew Stuart, Anima Anandkumar
Affiliations: Purdue University; California Institute of Technology
Conference: iclr 2021 (main track)
Keywords: Partial differential equation;Fourier transform;Neural operators
Decision: Poster
Title: Saliency is a Possible Red Herring When Diagnosing Poor Generalization
Authors: Joseph Viviano, Becks Simpson, Francis Dutil, Yoshua Bengio, Joseph Paul Cohen
Affiliations: Mila, Quebec Artificial Intelligence Institute, Universite de Montreal; Imagia Cybernetics; Mila, Quebec Artificial Intelligence Institute, Universite de Montreal; CIFAR Senior Fellow
Conference: iclr 2021 (main track)
Keywords: Feature Attribution;Generalization;Saliency
Decision: Poster
Title: Revisiting Few-sample BERT Fine-tuning
Authors: Tianyi Zhang, Felix Wu, Arzoo Katiyar, Kilian Weinberger, Yoav Artzi
Affiliations: Stanford University; Cornell University; Penn State University; ASAPP Inc.
Conference: iclr 2021 (main track)
Keywords: Fine-tuning;Optimization;BERT
Decision: Poster
Title: Large Batch Simulation for Deep Reinforcement Learning
Authors: Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian
Affiliations: Stanford University; Georgia Institute of Technology; Simon Fraser University; Intel Labs
Conference: iclr 2021 (main track)
Keywords: reinforcement learning;simulation
Decision: Poster
Title: SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments
Authors: Glen Berseth, Daniel Geng, Coline M Devin, Nicholas Rhinehart, Chelsea Finn, Dinesh Jayaraman, Sergey Levine
Affiliations: Stanford; University of Pennsylvania; UC Berkeley
Conference: iclr 2021 (main track)
Keywords: Reinforcement learning
Decision: Oral
Title: Learning to Set Waypoints for Audio-Visual Navigation
Authors: Changan Chen, Sagnik Majumder, Ziad Al-Halah, Ruohan Gao, Santhosh Kumar Ramakrishnan, Kristen Grauman
Affiliations: UT Austin, Facebook AI Research; UT Austin
Conference: iclr 2021 (main track)
Keywords: visual navigation;audio visual learning;embodied vision
Decision: Poster
Title: Learning Accurate Entropy Model with Global Reference for Image Compression
Authors: Yichen Qian, Zhiyu Tan, Xiuyu Sun, Ming Lin, Dongyang Li, Zhenhong Sun, Li Hao, Rong Jin
Affiliations: Alibaba Group, Bellevue, WA, 98004, USA; Alibaba Group, Hangzhou, China
Conference: iclr 2021 (main track)
Keywords: Image compression;Entropy Model;Global Reference
Decision: Poster
Title: gradSim: Differentiable simulation for system identification and visuomotor control
Authors: Krishna Murthy Jatavallabhula, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jérôme Parent-Lévesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai, Sanja Fidler
Affiliations: Montreal Robotics and Embodied AI Lab, Université de Montréal; University of Toronto, Vector Institute; Mila, Université de Montréal; Mila, McGill; NVIDIA; University of Copenhagen; NVIDIA, University of Toronto, Vector Institute; Mila
Conference: iclr 2021 (main track)
Keywords: Differentiable simulation;System identification;Physical parameter estimation;3D scene understanding;3D vision;Differentiable rendering;Differentiable physics
Decision: Poster
Title: Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning
Authors: Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang
Affiliations: AITRICS, Seoul, South Korea; School of Computing, KAIST, Daejeon, South Korea; Graduate School of AI, KAIST, Seoul, South Korea
Conference: iclr 2021 (main track)
Keywords: Federated Learning
Decision: Poster
Title: Grounding Language to Autonomously-Acquired Skills via Goal Generation
Authors: Ahmed Akakzia, Cédric Colas, Pierre-Yves Oudeyer, Mohamed CHETOUANI, Olivier Sigaud
Affiliations: Inria; Sorbonne Universit ´e
Conference: iclr 2021 (main track)
Keywords: Deep reinforcement learning;intrinsic motivations;symbolic representations;autonomous learning
Decision: Poster
Title: Contextual Dropout: An Efficient Sample-Dependent Dropout Module
Authors: XINJIE FAN, Shujian Zhang, Korawat Tanwisuth, Xiaoning Qian, Mingyuan Zhou
Affiliations: Texas A&M University; The University of Texas at Austin
Conference: iclr 2021 (main track)
Keywords: Efficient Inference Methods;Probabilistic Methods;Supervised Deep Networks
Decision: Poster
Title: Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Authors: Beliz Gunel, Jingfei Du, Alexis Conneau, Veselin Stoyanov
Affiliations: Stanford University; Facebook AI
Conference: iclr 2021 (main track)
Keywords: pre-trained language model fine-tuning;supervised contrastive learning;natural language understanding;few-shot learning;robustness;generalization
Decision: Poster
Title: Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds
Authors: Yihao Feng, Ziyang Tang, Na Zhang, Qiang Liu
Affiliations: University of Texas at Austin; Tsinghua University
Conference: iclr 2021 (main track)
Keywords: Non-asymptotic Confidence Intervals;Off Policy Evaluation;Reinforcement Learnings
Decision: Poster
Title: Representation and Bias in Multilingual NLP: Insights from Controlled Experiments on Conditional Language Modeling
Conference: iclr 2021 (main track)
Keywords: multilinguality;science for NLP;fundamental science in the era of AI/DL;representation learning for language;conditional language modeling;Transformer;Double Descent;non-monotonicity;fairness;meta evaluation;visualization or interpretation of learned representations
Decision: Reject
Title: Teaching Temporal Logics to Neural Networks
Authors: Christopher Hahn, Frederik Schmitt, Jens Kreber, Markus Rabe, Bernd Finkbeiner
Affiliations: Google Research, Mountain View, CA, USA; CISPA Helmholtz Center for Information Security, Saarbrücken, 66123 Saarland, Germany; Saarland University, Saarbrücken, 66123 Saarland, Germany
Conference: iclr 2021 (main track)
Keywords: Logic;Verification;Transformer
Decision: Poster
Title: Training with Quantization Noise for Extreme Model Compression
Authors: Pierre Stock, Angela Fan, Benjamin Graham, Edouard Grave, Rémi Gribonval, Hervé Jégou, Armand Joulin
Affiliations: Facebook AI Research; Inria; Facebook AI Research, Inria; Facebook AI Research, LORIA
Conference: iclr 2021 (main track)
Keywords: Compression;Efficiency;Product Quantization
Decision: Poster
Title: Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data
Authors: Jonathan Pilault, Amine EL hattami, Chris J Pal
Affiliations: Element AI, Canada CIFAR AI Chair; Polytechnique Montreal & Mila
Conference: iclr 2021 (main track)
Keywords: Multi-Task Learning;Adaptive Learning;Transfer Learning;Natural Language Processing;Hypernetwork
Decision: Poster
Title: Evaluating the Disentanglement of Deep Generative Models through Manifold Topology
Authors: Sharon Zhou, Eric Zelikman, Fred Lu, Andrew Ng, Gunnar E Carlsson, Stefano Ermon
Affiliations: Computer Science & Math Departments, Stanford University
Conference: iclr 2021 (main track)
Keywords: generative models;evaluation;disentanglement
Decision: Poster
Title: Graph Edit Networks
Authors: Benjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara E Hammer
Affiliations: Bielefeld University; Università della Svizzera italiana; Università della Svizzera italiana, Politecnico di Milano; The University of Sydney
Conference: iclr 2021 (main track)
Keywords: graph neural networks;graph edit distance;time series prediction;structured prediction
Decision: Poster
Title: Linear Last-iterate Convergence in Constrained Saddle-point Optimization
Authors: Chen-Yu Wei, Chung-Wei Lee, Mengxiao Zhang, Haipeng Luo
Affiliations: University of Southern California
Conference: iclr 2021 (main track)
Keywords: Saddle-point Optimization;Optimistic Mirror Decent;Optimistic Gradient Descent Ascent;Optimistic Multiplicative Weights Update;Last-iterate Convergence;Game Theory
Decision: Poster
Title: Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
Authors: Csaba Toth, Patric Bonnier, Harald Oberhauser
Affiliations: Mathematical Institute, University of Oxford
Conference: iclr 2021 (main track)
Keywords: time series;sequential data;representation learning;low-rank tensors;classification;generative modelling
Decision: Poster
Title: Information Laundering for Model Privacy
Authors: Xinran Wang, Yu Xiang, Jun Gao, Jie Ding
Affiliations: School of Statistics, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA; Electrical and Computer Engineering, University of Utah, Salt Lake City, UT 84112, USA; Department of Mathematics, Stanford University, Stanford, CA 94305, USA
Conference: iclr 2021 (main track)
Keywords: Adversarial Attack;Machine Learning;Model privacy;Privacy-utility tradeoff;Security
Decision: Spotlight
Title: Group Equivariant Conditional Neural Processes
Authors: Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, Yutaka Matsuo
Affiliations: RIKEN AIP, Tokyo, Japan; The University of Tokyo, RIKEN AIP, Tokyo, Japan; The University of Tokyo, Tokyo, Japan
Conference: iclr 2021 (main track)
Keywords: Neural Processes;Conditional Neural Processes;Stochastic Processes;Regression;Group Equivariance;Symmetry
Decision: Poster
Title: WaNet - Imperceptible Warping-based Backdoor Attack
Authors: Tuan Anh Nguyen, Anh T Tran
Affiliations: VinUniversity, VinAI Research; VinAI Research, Hanoi University of Science and Technology
Conference: iclr 2021 (main track)
Keywords: backdoor attack;image warping;wanet
Decision: Poster
Title: Removing Undesirable Feature Contributions Using Out-of-Distribution Data
Authors: Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon
Affiliations: Electrical and Computer Engineering, AIIS, ASRI, INMC, and Institute of Engineering Research, Seoul National University, Seoul 08826, South Korea
Conference: iclr 2021 (main track)
Keywords: adversarial training;adversarial robustness;generalization;out-of-distribution
Decision: Poster
Title: Adversarial score matching and improved sampling for image generation
Authors: Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Ioannis Mitliagkas, Remi Combes
Affiliations: Paper under double-blind review
Conference: iclr 2021 (main track)
Keywords: adversarial;score matching;Langevin dynamics;GAN;generative model
Decision: Poster
Title: DeepAveragers: Offline Reinforcement Learning By Solving Derived Non-Parametric MDPs
Authors: aayam shrestha, Stefan Lee, Prasad Tadepalli, Alan Fern
Affiliations: Oregon State University, Corvallis, OR 97330, USA
Conference: iclr 2021 (main track)
Keywords: Offline Reinforcement Learning;Planning
Decision: Spotlight
Title: Uncertainty Sets for Image Classifiers using Conformal Prediction
Authors: Anastasios Angelopoulos, Stephen Bates, Michael Jordan, Jitendra Malik
Affiliations: Departments of Electrical Engineering and Computer Sciences and Statistics, University of California, Berkeley
Conference: iclr 2021 (main track)
Keywords: classification;predictive uncertainty;conformal inference;computer vision;imagenet
Decision: Spotlight
Title: Calibration of Neural Networks using Splines
Authors: Kartik Gupta, Amir Rahimi, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley
Affiliations: Australian National University, Google Research; Australian National University; Australian National University, Data61, CSIRO; Google Research
Conference: iclr 2021 (main track)
Keywords: neural network calibration;uncertainty;calibration measure
Decision: Poster
Title: Learning to live with Dale's principle: ANNs with separate excitatory and inhibitory units
Authors: Jonathan Cornford, Damjan Kalajdzievski, Marco Leite, Amélie Lamarquette, Dimitri Kullmann, Blake A Richards
Affiliations: UCL; University of Cambridge; Université de Montréal, MILA; McGill University, MILA
Conference: iclr 2021 (main track)
Decision: Poster