hunoutl/paperlists huggingface dataset:
Title: Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data
Authors: Colin Wei, Kendrick Shen, Yining Chen, Tengyu Ma
Affiliations: Department of Computer Science, Stanford University, Stanford, CA 94305, USA
Conference: iclr 2021 (main track)
Keywords: deep learning theory;domain adaptation theory;unsupervised learning theory;semi-supervised learning theory
Decision: Oral
Title: Efficient Generalized Spherical CNNs
Authors: Oliver Cobb, Christopher Wallis, Augustine Mavor-Parker, Augustin Marignier, Matthew Price, Mayeul d'Avezac, Jason McEwen
Affiliations: Kagenova Limited, Guildford GU5 9LD, UK
Conference: iclr 2021 (main track)
Decision: Poster
Title: Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters
Authors: Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Anh Tuan Luu, Siu Hui, Jie Fu
Affiliations: NTU, Singapore; Mila, Universite de Montreal; NTU, Singapore, VinAI; Amazon Web Services AI; Google Research; ETH Zurich
Conference: iclr 2021 (main track)
Keywords: hypercomplex representation learning
Decision: Spotlight
Title: Group Equivariant Generative Adversarial Networks
Authors: Neel Dey, Antong Chen, Soheil Ghafurian
Affiliations: New York University; Data Science & Scientific Informatics, Merck & Co., Inc.
Conference: iclr 2021 (main track)
Keywords: Group Equivariance;Geometric Deep Learning;Generative Adversarial Networks
Decision: Poster
Title: On the Origin of Implicit Regularization in Stochastic Gradient Descent
Authors: Samuel Smith, Benoit Dherin, David Barrett, Soham De
Affiliations: Google; DeepMind
Conference: iclr 2021 (main track)
Keywords: SGD;learning rate;batch size;optimization;generalization;implicit regularization;backward error analysis;SDE;stochastic differential equation;ODE;ordinary differential equation
Decision: Poster
Title: End-to-end Adversarial Text-to-Speech
Authors: Jeff Donahue, Sander Dieleman, Mikolaj Binkowski, Erich Elsen, Karen Simonyan
Affiliations: DeepMind
Conference: iclr 2021 (main track)
Keywords: text-to-speech;speech synthesis;adversarial;GAN;end-to-end;feed-forward;generative model
Decision: Oral
Title: Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
Authors: Huan Zhang, Hongge Chen, Duane S Boning, Cho-Jui Hsieh
Affiliations: Department of Computer Science, UCLA; Department of EECS, MIT
Conference: iclr 2021 (main track)
Keywords: reinforcement learning;robustness;adversarial attacks;adversarial defense
Decision: Poster
Title: Provably robust classification of adversarial examples with detection
Authors: Fatemeh Sheikholeslami, Ali Lotfi, Zico Kolter
Affiliations: Bosch Center for Artiﬁcial Intelligence, Pittsburgh, PA; Bosch Center for Artiﬁcial Intelligence, Carnegie Mellon University, Pittsburgh, PA; The University of Texas at Austin, Austin, TX
Conference: iclr 2021 (main track)
Keywords: Adversarial robustness;robust deep learning
Decision: Poster
Title: Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Authors: Shengyu Zhao, Jonathan Cui, Yilun Sheng, Yue Dong, Xiao Liang, Eric Chang, Yan Xu
Affiliations: IIIS, Tsinghua University; Vacaville Christian Schools; IIIS, Tsinghua University and Microsoft Research; The High School Afﬁliated to Renmin University of China; Microsoft Research; School of Biological Science and Medical Engineering and Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University
Conference: iclr 2021 (main track)
Keywords: image completion;generative adversarial networks;co-modulation
Decision: Spotlight
Title: Neural representation and generation for RNA secondary structures
Authors: Zichao Yan, William Hamilton, Mathieu Blanchette
Affiliations: School of Computer Science, McGill University; School of Computer Science, McGill University, Mila
Conference: iclr 2021 (main track)
Keywords: Graph neural network;Deep generative modeling;Machine learning;Drug discovery;RNA structure;RNA structure embedding;RNA-protein interaction prediction
Decision: Poster
Title: Learning Deep Features in Instrumental Variable Regression
Authors: Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton
Affiliations: Gatsby Unit; University of Washington; DeepMind
Conference: iclr 2021 (main track)
Keywords: Causal Inference;Instrumental Variable Regression;Deep Learning;Reinforcement Learning
Decision: Poster
Title: New Bounds For Distributed Mean Estimation and Variance Reduction
Authors: Peter Davies, Vijaykrishna Gurunathan, Niusha Moshrefi, Saleh Ashkboos, Dan Alistarh
Affiliations: IST Austria & NeuralMagic; IST Austria; IIT Bombay
Conference: iclr 2021 (main track)
Keywords: distributed machine learning;mean estimation;variance reduction;lattices
Decision: Poster
Title: RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
Authors: Meng Qu, Junkun Chen, Louis-Pascal A Xhonneux, Yoshua Bengio, Jian Tang
Affiliations: Mila - Quebec AI Institute, HEC Montreal, Canadian Institute for Advanced Research (CIFAR); Mila - Quebec AI Institute, Universite de Montreal, Canadian Institute for Advanced Research (CIFAR); Mila - Quebec AI Institute, Universite de Montreal; Tsinghua University
Conference: iclr 2021 (main track)
Keywords: Knowledge Graph Reasoning;Logic Rules;EM
Decision: Poster
Title: Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting
Authors: Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E Gonzalez, Marcus Rohrbach, trevor darrell
Affiliations: Facebook AI Research; UC Berkeley
Conference: iclr 2021 (main track)
Keywords: Continual Learning;Lifelong Learning;Catastrophic Forgetting;XAI;Explainability
Decision: Poster
Title: An Unsupervised Deep Learning Approach for Real-World Image Denoising
Authors: Dihan Zheng, Sia Huat Tan, Xiaowen Zhang, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao
Affiliations: Department of Mathemathcal Sciences, Tsinghua University; Hisilicon; Yau Mathematical Sciences Center, Tsinghua University; Institute for Interdisciplinary Information Science, Tsinghua University
Conference: iclr 2021 (main track)
Keywords: Real-world image denoising;unsupervised image denoising
Decision: Poster
Title: Hopfield Networks is All You Need
Authors: Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Thomas Adler, David Kreil, Michael K Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
Affiliations: 阿里巴巴集团; 哈尔滨工业大学; 北京大学
Conference: iclr 2021 (main track)
Keywords: Modern Hopfield Network;Energy;Attention;Convergence;Storage Capacity;Hopfield layer;Associative Memory
Decision: Poster
Title: Property Controllable Variational Autoencoder via Invertible Mutual Dependence
Authors: Xiaojie Guo, Yuanqi Du, Liang Zhao
Affiliations: Department of CS, Emory University, Atlanta, GA 30322, USA; Department of IST, George Mason University, Fairfax, VA 22030, USA; Department of CS, George Mason University, Fairfax, VA 22030, USA
Conference: iclr 2021 (main track)
Keywords: deep generative models;interpretable latent representation;disentangled representation learning
Decision: Poster
Title: C-Learning: Learning to Achieve Goals via Recursive Classification
Authors: Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine
Affiliations: UC Berkeley, Google Brain; CMU, Google Brain; CMU
Conference: iclr 2021 (main track)
Keywords: reinforcement learning;goal reaching;density estimation;Q-learning;hindsight relabeling
Decision: Poster
Title: Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Authors: Chin-Wei Huang, Tian Qi Chen, Christos Tsirigotis, Aaron Courville
Affiliations: University of Toronto & Vector Institute; University of Montreal, Mila & CIFAR Fellow; University of Montreal & Mila
Conference: iclr 2021 (main track)
Keywords: Normalizing flows;generative models;variational inference;invertible neural networks;universal approximation;optimal transport;convex optimization
Decision: Poster
Title: Learning-based Support Estimation in Sublinear Time
Authors: Talya Eden, Piotr Indyk, Shyam Narayanan, Ronitt Rubinfeld, Sandeep Silwal, Tal Wagner
Affiliations: Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Microsoft Research, Redmond, WA 98052, USA
Conference: iclr 2021 (main track)
Keywords: support estimation;sublinear;learning-based;distinct elements;chebyshev polynomial
Decision: Spotlight
Title: On Graph Neural Networks versus Graph-Augmented MLPs
Authors: Lei Chen, Zhengdao Chen, Joan Bruna
Affiliations: Courant Institute of Mathematical Sciences, New York University, New York, NY; Courant Institute of Mathematical Sciences, Center for Data Science, New York University, New York, NY
Conference: iclr 2021 (main track)
Keywords: Graph Neural Networks;expressive power;feature propagation;rooted graphs;attributed walks;community detection;depth separation
Decision: Poster
Title: Neural Thompson Sampling
Authors: Weitong ZHANG, Dongruo Zhou, Lihong Li, Quanquan Gu
Affiliations: Google Research, USA; Department of Computer Science, University of California, Los Angeles, Los Angeles, CA, USA, 90095
Conference: iclr 2021 (main track)
Keywords: Deep Learning;Contextual Bandits;Thompson sampling
Decision: Poster
Title: Efficient Conformal Prediction via Cascaded Inference with Expanded Admission
Authors: Adam Fisch, Tal Schuster, Tommi Jaakkola, Regina Barzilay
Affiliations: Computer Science and Artiﬁcial Intelligence Laboratory, Massachusetts Institute of Technology
Conference: iclr 2021 (main track)
Keywords: conformal prediction;uncertainty estimation;efficient inference methods;natural language processing;chemistry
Decision: Poster
Title: Intraclass clustering: an implicit learning ability that regularizes DNNs
Authors: Simon Carbonnelle, Christophe De Vleeschouwer
Affiliations: FNRS research fellows, ICTEAM, Universit catholique de Louvain, Louvain-La-Neuve, Belgium
Conference: iclr 2021 (main track)
Keywords: deep learning;generalization;implicit regularization
Decision: Poster
Title: not-MIWAE: Deep Generative Modelling with Missing not at Random Data
Authors: Niels Ipsen, Pierre-Alexandre Mattei, Jes Frellsen
Affiliations: Universit ´e Cˆote d’Azur, Inria (Maasai team), Laboratoire J.A. Dieudonn ´e, UMR CNRS 7351, France; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Denmark
Conference: iclr 2021 (main track)
Decision: Poster
Title: Efficient Empowerment Estimation for Unsupervised Stabilization
Authors: Ruihan Zhao, Kevin Lu, Pieter Abbeel, Stas Tiomkin
Affiliations: Berkeley Artificial Intelligence Research Lab, Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA
Conference: iclr 2021 (main track)
Keywords: unsupervised stabilization;representation of dynamical systems;neural networks;empowerment;intrinsic motivation
Decision: Poster
Title: Neural Synthesis of Binaural Speech From Mono Audio
Authors: Alexander Richard, Dejan Markovic, Israel Gebru, Steven Krenn, Gladstone A Butler, Fernando Torre, Yaser Sheikh
Affiliations: Facebook Reality Labs, Pittsburgh, USA
Conference: iclr 2021 (main track)
Keywords: binaural audio;sound spatialization;neural sound synthesis;binaural speech;speech processing;speech generation
Decision: Oral
Title: Data-Efficient Reinforcement Learning with Self-Predictive Representations
Authors: Max Schwarzer, Ankesh Anand, Rishab Goel, R Devon Hjelm, Aaron Courville, Philip Bachman
Affiliations: Mila; Mila, Université de Montréal; Mila, Université de Montréal, CIFAR Fellow; Microsoft Research, Mila, Université de Montréal; Microsoft Research
Conference: iclr 2021 (main track)
Keywords: Reinforcement Learning;Self-Supervised Learning;Representation Learning;Sample Efficiency
Decision: Spotlight
Title: Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors
Authors: Linfeng Zhang, Kaisheng Ma
Affiliations: Institute for Interdisciplinary Information Sciences, Tsinghua University
Conference: iclr 2021 (main track)
Keywords: Knowledge Distillation;Object Detection;Teacher-Student Learning;Non-Local Modules;Attention Modules
Decision: Poster
Title: Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
Authors: Emilio Parisotto, Ruslan Salakhutdinov
Affiliations: Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Conference: iclr 2021 (main track)
Keywords: Deep Reinforcement Learning;Memory;Transformers;Distillation
Decision: Poster
Title: Tent: Fully Test-Time Adaptation by Entropy Minimization
Authors: Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno Olshausen, trevor darrell
Affiliations: Adobe Research; UC Berkeley
Conference: iclr 2021 (main track)
Keywords: deep learning;unsupervised learning;domain adaptation;self-supervision;robustness
Decision: Spotlight
Title: Bayesian Context Aggregation for Neural Processes
Authors: Michael Volpp, Fabian Flürenbrock, Lukas Grossberger, Christian Daniel, Gerhard Neumann
Affiliations: Bosch Center for Artiﬁcial Intelligence, Renningen, Germany; Karlsruhe Institute of Technology, Karlsruhe, Germany; University of Tübingen, Tübingen, Germany; Bosch Center for Artiﬁcial Intelligence, Renningen, Germany; Karlsruhe Institute of Technology, Karlsruhe, Germany
Conference: iclr 2021 (main track)
Keywords: Aggregation Methods;Neural Processes;Latent Variable Models;Meta Learning;Multi-task Learning;Deep Sets
Decision: Poster
Title: DeLighT: Deep and Light-weight Transformer
Authors: Sachin Mehta, Marjan Ghazvininejad, Srini Iyer, Luke Zettlemoyer, Hannaneh Hajishirzi
Affiliations: Facebook AI Research; University of Washington; University of Washington, Allen Institute for AI; University of Washington, Facebook AI Research
Conference: iclr 2021 (main track)
Keywords: Transformers;Sequence Modeling;Machine Translation;Language Modeling;Representation learning;Efficient Networks
Decision: Poster
Title: Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning
Authors: Alihan Hüyük, Daniel Jarrett, Cem Tekin, Mihaela van der Schaar
Affiliations: University of Cambridge, UK; Bilkent University, Ankara, Turkey; University of Cambridge, UK; Cambridge Centre for AI in Medicine, UK; The Alan Turing Institute, UK; UCLA, USA
Conference: iclr 2021 (main track)
Keywords: interpretable policy learning;understanding decision-making
Decision: Poster
Title: Graph Coarsening with Neural Networks
Authors: Chen Cai, Dingkang Wang, Yusu Wang
Affiliations: University of California, San Diego, c1cai@ucsd.edu; Ohio State University, wang.6150@osu.edu; University of California, San Diego, yusuwang@ucsd.edu
Conference: iclr 2021 (main track)
Keywords: graph coarsening;graph neural network;Doubly-weighted Laplace operator
Decision: Poster
Title: One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks
Authors: Atish Agarwala, Abhimanyu Das, Brendan Juba, Rina Panigrahy, Vatsal Sharan, Xin Wang, Qiuyi Zhang
Affiliations: MIT; Washington U. St. Louis; Google Research
Conference: iclr 2021 (main track)
Keywords: deep learning theory;multi-task learning
Decision: Poster
Title: SSD: A Unified Framework for Self-Supervised Outlier Detection
Authors: Vikash Sehwag, Mung Chiang, Prateek Mittal
Affiliations: Princeton University; Purdue University
Conference: iclr 2021 (main track)
Keywords: Outlier detection;Out-of-distribution detection in deep learning;Anomaly detection with deep neural networks;Self-supervised learning
Decision: Poster
Title: Conditional Negative Sampling for Contrastive Learning of Visual Representations
Authors: Mike Wu, Milan Mosse, Chengxu Zhuang, Daniel Yamins, Noah Goodman
Affiliations: Department of Computer Science, Psychology, Stanford University; Department of Computer Science, Stanford University; Department of Computer Science, Psychology, and Philosophy, Stanford University
Conference: iclr 2021 (main track)
Keywords: contrastive learning;hard negative mining;mutual information;lower bound;detection;segmentation;MoCo
Decision: Poster
Title: UPDeT: Universal Multi-agent RL via Policy Decoupling with Transformers
Authors: Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang
Affiliations: Monash University; Sun Yat-sen University, Dark Matter AI Inc.
Conference: iclr 2021 (main track)
Keywords: Multi-agent Reinforcement Learning;Transfer Learning
Decision: Spotlight
Title: Learning Structural Edits via Incremental Tree Transformations
Authors: Ziyu Yao, Frank F Xu, Pengcheng Yin, Huan Sun, Graham Neubig
Affiliations: The Ohio State University; Carnegie Mellon University
Conference: iclr 2021 (main track)
Keywords: Tree-structured Data;Edit;Incremental Tree Transformations;Representation Learning;Imitation Learning;Source Code
Decision: Poster
Title: Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS
Authors: Lin Chen, Sheng Xu
Affiliations: Department of Statistics and Data Science, Yale University; Simons Institute for the Theory of Computing, University of California, Berkeley
Conference: iclr 2021 (main track)
Keywords: Neural tangent kernel;Reproducing kernel Hilbert space;Laplace kernel;Singularity analysis
Decision: Poster
Title: PDE-Driven Spatiotemporal Disentanglement
Authors: Jérémie DONA, Jean-Yves Franceschi, sylvain lamprier, patrick gallinari
Affiliations: Sorbonne Université, CNRS, LIP6, F-75005 Paris, France & Criteo AI Lab, Paris, France; Sorbonne Université, CNRS, LIP6, F-75005 Paris, France
Conference: iclr 2021 (main track)
Keywords: disentanglement;spatiotemporal prediction;representation learning;dynamical systems;separation of variables
Decision: Poster
Title: Learnable Embedding sizes for Recommender Systems
Authors: Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li
Affiliations: University of Electronic Science and Technology of China, Chengdu, China; University College London, London, United Kingdom; Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
Conference: iclr 2021 (main track)
Keywords: Recommender Systems;Deep Learning;Embedding Size
Decision: Poster
Title: Grid cell modeling with mapping representation of self-motion for path integration
Affiliations: College of Computer Science, Sichuan University, Chengdu 610065, China; College of Computer Science, Zhejiang University of Technology, Hangzhou 310023, China; College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China
Conference: iclr 2021 (main track)
Keywords: Grid cell;path integration;spatial cognition;recurrent neural network
Decision: Desk Reject
Title: Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs
Authors: Jonathan Frankle, David J Schwab, Ari Morcos
Affiliations: CUNY Graduate Center, ITS, Facebook AI Research; MIT CSAIL; Facebook AI Research
Conference: iclr 2021 (main track)
Keywords: affine parameters;random features;batchnorm
Decision: Poster
Title: Learning Energy-Based Models by Diffusion Recovery Likelihood
Authors: Ruiqi Gao, Yang Song, Ben Poole, Yingnian Wu, Durk Kingma
Affiliations: Stanford University; Google Brain; UCLA
Conference: iclr 2021 (main track)
Keywords: energy-based model;EBM;recovery likelihood;generative model;diffusion process;MCMC;Langevin dynamics;HMC
Decision: Poster
Title: Learning Task Decomposition with Ordered Memory Policy Network
Authors: Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron Courville, Joshua B Tenenbaum, Chuang Gan
Affiliations: University of Montreal, Mila, Montreal, Canada; University of Montreal, Mila, CIFAR, Montreal, Canada; MIT-IBM Watson AI Lab, Cambridge, United States; MIT BCS, CBMM, CSAIL, Cambridge, United States; Peking University, Beijing, China
Conference: iclr 2021 (main track)
Keywords: Task Segmentation;Hierarchical Imitation Learning;Network Inductive Bias
Decision: Poster
Title: Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks
Authors: Ingmar Schubert, Ozgur Oguz, Marc Toussaint
Affiliations: Machine Learning and Robotics Lab, University of Stuttgart, Germany; Learning and Intelligent Systems Group, TU Berlin, Germany; Max Planck Institute for Intelligent Systems, Stuttgart, Germany
Conference: iclr 2021 (main track)
Keywords: reinforcement learning;reward shaping;plan-based reward shaping;robotics;robotic manipulation
Decision: Poster
Title: Cross-Domain Few-Shot Learning by Representation Fusion
Authors: Thomas Adler, Johannes Brandstetter, Michael Widrich, Andreas Mayr, Michael Kopp, David Kreil, Günther Klambauer, Sepp Hochreiter
Conference: iclr 2021 (main track)
Keywords: cross-domain learning;few-shot learning;Hebbian learning;ensemble learning;domain shift;domain adaptation;representation fusion
Decision: Reject
Title: Capturing Label Characteristics in VAEs
Authors: Tom Joy, Sebastian Schmon, Philip Torr, Siddharth N, Tom Rainforth
Affiliations: University of Oxford & Improbable; University of Oxford & University of Edinburgh & The Alan Turing Institute; University of Oxford
Conference: iclr 2021 (main track)
Keywords: variational autoencoder;representation learning;deep generative models
Decision: Poster
Title: Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning
Authors: Dong Bok Lee, Dongchan Min, Seanie Lee, Sung Ju Hwang
Affiliations: KAIST; KAIST, AITRICS
Conference: iclr 2021 (main track)
Keywords: Unsupervised Learning;Meta-Learning;Unsupervised Meta-learning;Variational Autoencoders
Decision: Spotlight
Title: MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training
Authors: Beidi Chen, Zichang Liu, Binghui Peng, Zhaozhuo Xu, Jonathan L Li, Tri Dao, Zhao Song, Anshumali Shrivastava, Christopher Re
Affiliations: Stanford University; Princeton University; Rice University; Columbia University
Conference: iclr 2021 (main track)
Keywords: Large-scale Deep Learning;Large-scale Machine Learning;Efficient Training;Randomized Algorithms
Decision: Oral
Title: A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima
Authors: Zeke Xie, Issei Sato, Masashi Sugiyama
Affiliations: The University of Tokyo, RIKEN Center for AIP
Conference: iclr 2021 (main track)
Keywords: deep learning dynamics;SGD;diffusion;flat minima;stochastic optimization
Decision: Poster
Title: Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration
Authors: Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Yuan-Hong Liao, Joshua B Tenenbaum, Sanja Fidler, Antonio Torralba
Conference: iclr 2021 (main track)
Keywords: social perception;human-AI collaboration;theory of mind;multi-agent platform;virtual environment
Decision: Spotlight
Title: A Temporal Kernel Approach for Deep Learning with Continuous-time Information
Authors: Da Xu, Chuanwei Ruan, evren korpeoglu, Sushant Kumar, kannan achan
Affiliations: Instacart, San Francisco, CA 94107, USA; Walmart Labs, Sunnyvale, CA 94086, USA
Conference: iclr 2021 (main track)
Keywords: Kernel Learning;Continuous-time System;Spectral Distribution;Random Feature;Reparameterization;Learning Theory
Decision: Poster
Title: PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
Authors: Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B Tenenbaum, Chuang Gan
Affiliations: MIT BCS, CBMM, CSAIL; MIT; UC San Diego; Peking University; MIT-IBM Watson AI Lab
Conference: iclr 2021 (main track)
Keywords: Soft Body;Differentiable Physics;Benchmark
Decision: Spotlight
Title: ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations
Authors: Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, Deepak Gupta
Affiliations: Informatics Institute, University of Amsterdam, The Netherlands; Transmute AI Research, The Netherlands; Indian Institute of Technology, ISM Dhanbad, India
Conference: iclr 2021 (main track)
Keywords: Structured Pruning;Budget-Aware Pruning;Budget constraints;Sparsity Learning
Decision: Poster