hunoutl/paperlists huggingface dataset:
Title: Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding
Authors: Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu
Affiliations: Key Laboratory of Machine Perception, MOE, School of EECS, Peking University; Princeton University; Institute for Artiﬁcial Intelligence, Peking University; Center for Data Science, Peking University; University of Science and Technology of China; Microsoft Research
Conference: nips 2021 (main track)
Keywords: Attention;Transformer;Relative Positional Encoding;Fast Fourier Transform;Language Pre-training;Language Modelling;Machine Translation;Image Classification
Decision: Poster
Title: Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN
Authors: Zhenyu Xie, Zaiyu Huang, Fuwei Zhao, Haoye Dong, Michael Kampffmeyer, Xiaodan Liang
Affiliations: Shenzhen Campus of Sun Yat-Sen University, Peng Cheng Laboratory; Shenzhen Campus of Sun Yat-Sen University; Huya Inc; UiT The Arctic University of Norway
Conference: nips 2021 (main track)
Keywords: image manipulation;unpaired virtual try-on;patch-routed warping
Decision: Poster
Title: Neural Flows: Efficient Alternative to Neural ODEs
Authors: Marin Biloš, Johanna Sommer, Syama Sundar Rangapuram, Tim Januschowski, Stephan Günnemann
Affiliations: Technical University of Munich; AWS AI Labs, Germany
Conference: nips 2021 (main track)
Keywords: neural flow;neural ode;time series;density estimation;normalizing flow
Decision: Poster
Title: Reinforcement Learning in Reward-Mixing MDPs
Authors: Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
Affiliations: Technion, NVIDIA; The University of Texas at Austin; Microsoft Research, NYC
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Partially Observable;Sample-Complexity;Method-of-Moments;Latent Confounders;Mixture Models
Decision: Poster
Title: Solving Graph-based Public Goods Games with Tree Search and Imitation Learning
Authors: Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi
Affiliations: University College London, The Alan Turing Institute, University of Bologna; University College London, The Alan Turing Institute; University College London
Conference: nips 2021 (main track)
Keywords: public goods games;network games;multi-agent systems;maximal independent sets;tree search
Decision: Poster
Title: Rethinking gradient sparsification as total error minimization
Authors: Atal Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis
Affiliations: KAUST; University of Kansas
Conference: nips 2021 (main track)
Keywords: Gradient compression;Distributed optimization
Decision: Spotlight
Title: DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
Authors: Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar
Affiliations: University of California, Los Angeles; University of Cambridge; University of Cambridge, University of California, Los Angeles, The Alan Turing Institute
Conference: nips 2021 (main track)
Keywords: synthetic data;generative models;fairness
Decision: Poster
Title: ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation
Authors: Guoqiang Wei, Cuiling Lan, Wenjun Zeng, Zhizheng Zhang, Zhibo Chen
Affiliations: Microsoft Research Asia; University of Science and Technology of China
Conference: nips 2021 (main track)
Keywords: Domain adaptation;Image classification;Adversarial learning
Decision: Poster
Title: On Calibration and Out-of-Domain Generalization
Authors: Yoav Wald, Amir Feder, Daniel Greenfeld, Uri Shalit
Affiliations: Jether Energy Research; Technion; Johns Hopkins University
Conference: nips 2021 (main track)
Keywords: Out-of-Domain Generalization;Calibration;Invariance;Causality
Decision: Poster
Title: A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks
Authors: Jacob Springer, Melanie Mitchell, Garrett Kenyon
Affiliations: Los Alamos National Laboratory, Los Alamos, NM, 87545; Santa Fe Institute, Santa Fe, NM, 87501
Conference: nips 2021 (main track)
Keywords: adversarial examples;robustness;transferability
Decision: Poster
Title: Pure Exploration in Kernel and Neural Bandits
Authors: Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, Robert Nowak
Affiliations: Department of Statistics and Computer Science, University of Chicago, Chicago, IL 60637; Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706; Department of Computer Science, University of Chicago, Chicago, IL 60637; Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095; Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI 53706
Conference: nips 2021 (main track)
Keywords: bandits;pure exploration;reproducible kernel Hilbert space;neural network
Decision: Poster
Title: On the Value of Interaction and Function Approximation in Imitation Learning
Authors: Nived Rajaraman, Yanjun Han, Lin Yang, Jingbo Liu, Jiantao Jiao, Kannan Ramchandran
Affiliations: University of California, Los Angeles; University of California, Berkeley; University of Illinois, Urbana-Champaign
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Imitation Learning;Minimax rates
Decision: Poster
Title: On the Universality of Graph Neural Networks on Large Random Graphs
Authors: Nicolas Keriven, Alberto Bietti, Samuel Vaiter
Affiliations: CNRS, LJAD, Nice, France; NYU Center for Data Science, New York, USA; CNRS, GIPSA-lab, Grenoble, France
Conference: nips 2021 (main track)
Keywords: graph neural network;random graph;universality
Decision: Poster
Title: Planning from Pixels in Environments with Combinatorially Hard Search Spaces
Authors: Marco Bagatella, Miroslav Olšák, Michal Rolínek, Georg Martius
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; Computer Science Department, University Innsbruck, Austria
Conference: nips 2021 (main track)
Keywords: World Model;Representation Learning;Model-Based Reinforcement Learning
Decision: Poster
Title: Clustering Effect of Adversarial Robust Models
Authors: Yang Bai, Xin Yan, Yong Jiang, Shu-Tao Xia, Yisen Wang
Affiliations: PCL Research Center of Networks and Communications, Peng Cheng Laboratory, China; Tsinghua Shenzhen International Graduate School, Tsinghua University; Key Lab. of Machine Perception, School of Artiﬁcial Intelligence, Peking University; Tsinghua Berkeley Shenzhen Institute, Tsinghua University
Conference: nips 2021 (main track)
Keywords: Adversarial robust models;hierarchical clustering effect;domain adaption tasks
Decision: Spotlight
Title: Augmented Shortcuts for Vision Transformers
Authors: Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang
Affiliations: Central Software Institution, Huawei Technologies.; School of Computer Science, Faculty of Engineering, University of Sydney.; Huawei Noah’s Ark Lab.; Key Lab of Machine Perception (MOE), Dept. of Machine Intelligence, Peking University.
Conference: nips 2021 (main track)
Keywords: Vision transformer;computer vision;ImageNet
Decision: Poster
Title: Catch-A-Waveform: Learning to Generate Audio from a Single Short Example
Authors: Gal Greshler, Tamar Shaham, Tomer Michaeli
Affiliations: Technion – Israel Institute of Technology
Conference: nips 2021 (main track)
Keywords: Audio Generation;Single Example;Raw Waveform;GAN;Bandwidth Extension;Audio Inpainting;Audio Denoising;Music Generation
Decision: Poster
Title: An Exact Characterization of the Generalization Error for the Gibbs Algorithm
Authors: Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel Rodrigues, Gregory Wornell
Affiliations: Massachusetts Institute of Technology; University College London
Conference: nips 2021 (main track)
Keywords: Gibbs algorithm;generalization error;information-theoretic bounds;PAC-Bayesian bounds
Decision: Poster
Title: Low-Rank Subspaces in GANs
Authors: Jiapeng Zhu, Ruili Feng, Yujun Shen, Deli Zhao, Zheng-Jun Zha, Jingren Zhou, Qifeng Chen
Affiliations: Hong Kong University of Science and Technology; University of Science and Technology of China; Alibaba Group; ByteDance Inc.
Conference: nips 2021 (main track)
Keywords: generative adversarial network;network interpretation;local image editing
Decision: Poster
Title: Pretraining Representations for Data-Efficient Reinforcement Learning
Authors: Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch, Ankesh Anand, Laurent Charlin, R Devon Hjelm, Philip Bachman, Aaron Courville
Affiliations: Mila, Université de Montréal; Microsoft Research, Mila; Mila, Université de Montréal, CIFAR; HEC Montréal, Mila, CIFAR; Microsoft Research
Conference: nips 2021 (main track)
Keywords: Pretraining;Sample Efficiency;Reinforcement Learning;Self-Supervised Learning
Decision: Poster
Title: On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning
Authors: Alireza Fallah, Kristian Georgiev, Aryan Mokhtari, Asuman Ozdaglar
Affiliations: ECE Department, The University of Texas at Austin; EECS Department, Massachusetts Institute of Technology
Conference: nips 2021 (main track)
Keywords: meta-learning theory;reinforcement learning theory;optimization
Decision: Poster
Title: NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation
Affiliations: Huawei Noah’s Ark Lab; Vector Institute, University of Waterloo; RALI/DIRO, Université de Montréal
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: slot filling;intent detection;voice assistant;dialog system;natural language understanding;virtual assistant;intent classification
Decision: Poster
Title: Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs
Authors: harsh satija, Philip Thomas, Joelle Pineau, Romain Laroche
Affiliations: McGill University, Mila, Facebook AI Research; McGill University, Mila; Microsoft Research; University of Massachusetts
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Multi-Objective RL;RL Safety;Safe Policy Improvement;Seldonian Algorithms
Decision: Poster
Title: Training Over-parameterized Models with Non-decomposable Objectives
Authors: Harikrishna Narasimhan, Aditya Menon
Affiliations: Google Research, Mountain View; Google Research, New York
Conference: nips 2021 (main track)
Keywords: Non-decomposable objectives;Class imbalance;Cost-sensitive Losses;Over-parameterized Models;Logit-adjustment;Margin;Constraints
Decision: Poster
Title: On Plasticity, Invariance, and Mutually Frozen Weights in Sequential Task Learning
Authors: Julian Zilly, Alessandro Achille, Andrea Censi, Emilio Frazzoli
Affiliations: ETH Zürich; Caltech
Conference: nips 2021 (main track)
Keywords: Transfer learning;Deep learning;Sparsity;Invariance;Sequential learning;Critical learning periods;Curriculum learning
Decision: Poster
Title: Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias
Authors: Raanan Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik
Affiliations: Intel Labs
Conference: nips 2021 (main track)
Keywords: Causal Discovery;Causal Structure Learning;Constraint-based Structure Learning;Causal Graph;Ancestral Graph Learning
Decision: Poster
Title: Intelligent Sight and Sound: A Chronic Cancer Facial Pain Dataset
Affiliations: Booz Allen Hamilton; University of Maryland, Baltimore County; University of Maryland, Baltimore County; Booz Allen Hamilton; Center for Cancer Research, National Cancer Institute, National Institutes of Health
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: pain detection;facial emotion recognition;multimodal;healthcare;cancer
Decision: Poster
Title: Robustness between the worst and average case
Authors: Leslie Rice, Anna Bair, Huan Zhang, J. Zico Kolter
Affiliations: Department of Machine Learning, Carnegie Mellon University, Pittsburgh, PA; Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA; Department of Computer Science, Carnegie Mellon University & Bosch Center for Artiﬁcial Intelligence, Pittsburgh, PA
Conference: nips 2021 (main track)
Keywords: adversarial robustness;data augmentation;Hamiltonian Monte Carlo;path sampling
Decision: Poster
Title: Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning
Authors: Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi
Affiliations: Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ 08544, USA.; Department of Electronic Engineering, Tsinghua University, Beijing 100084, China.; Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Conference: nips 2021 (main track)
Keywords: reinforcement learning;memory efficiency;model-free RL;episodic MDPs;variance reduction;exploration
Decision: Spotlight
Title: Privately Learning Subspaces
Authors: Vikrant Singhal, Thomas Steinke
Affiliations: Cheriton School of Computer Science, University of Waterloo, Waterloo, ON - N2L 3G1, Canada; Google Research, Brain Team, Mountain View, CA, United States of America
Conference: nips 2021 (main track)
Keywords: Differential Privacy;Learning;Machine Learning;Data Privacy;Subspaces
Decision: Poster
Title: Federated Multi-Task Learning under a Mixture of Distributions
Authors: Othmane Marfoq, Giovanni Neglia, Aurélien Bellet, Laetitia Kameni, Richard Vidal
Affiliations: Inria, Université Côte d’Azur, France; Accenture Labs, France; Inria, Université de Lille, France
Conference: nips 2021 (main track)
Keywords: Federated learning;multi-task learning;personalized models;expectation-maximization;personalized federated learning
Decision: Poster
Title: Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering
Authors: Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs
Affiliations: KAIST; University of North Carolina at Chapel Hill; Adobe Research
Conference: nips 2021 (main track)
Keywords: Novel view synthesis;Neural radiance fields;Human performance capture;Generalizable Neural radiance fields
Decision: Spotlight
Title: Rail-5k: a Real-World Dataset for Rail Surface Defects Detection
Affiliations: The Key Laboratory of Road and Trafﬁc Engineering, Ministry of Education, Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji University, Shanghai; Department of Computer Science, Tongji University, Shanghai
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Real-world;Object detection;Semantic segmentation;Rail surface defects
Decision: Reject
Title: Validation Free and Replication Robust Volume-based Data Valuation
Authors: Xinyi Xu, Zhaoxuan Wu, Chuan Sheng Foo, Bryan Kian Hsiang Low
Affiliations: Dept. of Computer Science, National University of Singapore, Republic of Singapore; Institute for Infocomm Research, A*STAR, Republic of Singapore; Institute of Data Science, National University of Singapore, Republic of Singapore
Conference: nips 2021 (main track)
Keywords: Data Valuation;Replication Robustness;Linear Regression;Model-Agnostic;Task-Agnostic
Decision: Poster
Title: Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models
Authors: Matej Zečević, Devendra Dhami, Athresh Karanam, Sriraam Natarajan, Kristian Kersting
Affiliations: Computer Science Department, The University of Texas at Dallas; Computer Science Department, TU Darmstadt, and Hessian Center for AI (hessian.AI); Computer Science Department, TU Darmstadt
Conference: nips 2021 (main track)
Keywords: Interventions;Causality;Tractablity;Probabilistic Models
Decision: Poster
Title: Exploring Forensic Dental Identification with Deep Learning
Authors: Yuan Liang, Weikun Han, Liang Qiu, Chen Wu, Yiting Shao, Kun Wang, Lei He
Affiliations: University of California, Los Angeles; University of California, Los Angeles; Topaz Labs
Conference: nips 2021 (main track)
Keywords: person identification;medical imaging;forensics
Decision: Poster
Title: Topological Relational Learning on Graphs
Authors: Yuzhou Chen, Baris Coskunuzer, Yulia Gel
Affiliations: Department of Mathematical Sciences, University of Texas at Dallas and National Science Foundation; Department of Mathematical Sciences, University of Texas at Dallas; Department of Electrical Engineering, Princeton University
Conference: nips 2021 (main track)
Keywords: Topological relational learning;Graph neural networks;Persistence based graph representation;Robust graph learning
Decision: Poster
Title: TriBERT: Human-centric Audio-visual Representation Learning
Authors: Tanzila Rahman, Mengyu Yang, Leonid Sigal
Affiliations: University of Toronto, Vector Institute for AI; University of British Columbia, Vector Institute for AI; University of British Columbia, Vector Institute for AI, Canada CIFAR AI Chair
Conference: nips 2021 (main track)
Keywords: BERT;Transformer;multi-modal;joint representation
Decision: Poster
Title: Discrete-Valued Neural Communication
Authors: Dianbo Liu, Alex Lamb, Kenji Kawaguchi, Anirudh Goyal, Chen Sun, Michael Mozer, Yoshua Bengio
Affiliations: Harvard University; Mila, Harvard University; Mila; Google Research, Brain Team
Conference: nips 2021 (main track)
Keywords: structured architecture;discretization;communication;specialist components;system 2
Decision: Poster
Title: SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
Authors: Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matt Botvinick, Alexander Lerchner, Chris Burgess
Affiliations: Wayve; DeepMind
Conference: nips 2021 (main track)
Keywords: scene understanding;view invariance;object representations;unsupervised learning
Decision: Poster
Title: FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention
Authors: Tan Nguyen, Vai Suliafu, Stanley Osher, Long Chen, Bao Wang
Affiliations: Department of Mathematics, University of California, Irvine, Irvine, CA, USA; Department of Mathematics, Scientiﬁc Computing and Imaging (SCI) Institute, University of Utah, Salt Lake City, UT, USA; Department of Mathematics, University of California, Los Angeles, Los Angeles, CA, USA; School of Computing, Scientiﬁc Computing and Imaging (SCI) Institute, University of Utah, Salt Lake City, UT, USA
Conference: nips 2021 (main track)
Keywords: Efficient attention;near-field and far-field decomposition;fast multipole method
Decision: Poster
Title: EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization
Authors: Ondrej Bohdal, Yongxin Yang, Timothy Hospedales
Affiliations: School of Informatics, The University of Edinburgh; School of Informatics, The University of Edinburgh; Samsung AI Research Centre, Cambridge
Conference: nips 2021 (main track)
Keywords: Meta-learning;Hyperparameter optimization;Evolution
Decision: Poster
Title: Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
Authors: Jason Altschuler, Sinho Chewi, Patrik R Gerber, Austin Stromme
Affiliations: MIT
Conference: nips 2021 (main track)
Keywords: Bures-Wasserstein barycenter;dimension-free convergence;entropic regularization;first-order optimization;geometric median;non-convex optimization;Riemannian optimization
Decision: Spotlight
Title: Reinforcement Learning with Latent Flow
Authors: Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Misha Laskin
Affiliations: UC Berkeley; OpenAI; DeepMind; Tsinghua University; UC Berkeley, Covariant; Facebook AI Research, University of Washington
Conference: nips 2021 (main track)
Keywords: Machine Learning;Reinforcement Learning;Latent Flow
Decision: Poster
Title: Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization
Authors: Zhenghao Peng, Quanyi Li, Ka Ming Hui, Chunxiao Liu, Bolei Zhou
Affiliations: Centre for Perceptual and Interactive Intelligence; The Chinese University of Hong Kong; SenseTime Research
Conference: nips 2021 (main track)
Keywords: Multi-agent Reinforcement Learning;Traffic Simulation
Decision: Poster
Title: Backward-Compatible Prediction Updates: A Probabilistic Approach
Authors: Frederik Träuble, Julius von Kügelgen, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Peter Gehler
Affiliations: Max Planck Institute for Intelligent Systems, T¨ubingen, Germany; Max Planck Institute for Intelligent Systems, T¨ubingen, Germany; Department of Engineering, University of Cambridge, United Kingdom; Amazon T¨ubingen, Germany
Conference: nips 2021 (main track)
Keywords: Backward Compatibility;Algorithm Evaluation;Applications in Computer Vision;Probabilistic Methods
Decision: Poster
Title: DiBS: Differentiable Bayesian Structure Learning
Authors: Lars Lorch, Jonas Rothfuss, Bernhard Schölkopf, Andreas Krause
Affiliations: ETH Zurich, Zurich, Switzerland; MPI for Intelligent Systems, Tübingen, Germany
Conference: nips 2021 (main track)
Keywords: causality;structure learning;Bayesian networks;Bayesian inference
Decision: Spotlight
Title: MCMC Variational Inference via Uncorrected Hamiltonian Annealing
Authors: Tomas Geffner, Justin Domke
Affiliations: College of Information and Computer Science, University of Massachusetts, Amherst, Amherst, MA
Conference: nips 2021 (main track)
Keywords: Variational Inference;Annealed Importance Sampling;MCMC;Hamiltonian Monte Carlo;differentiable
Decision: Poster
Title: A Central Limit Theorem for Differentially Private Query Answering
Authors: Jinshuo Dong, Weijie Su, Linjun Zhang
Affiliations: Department of Statistics and Data Science, University of Pennsylvania; Department of Computer Science, Northwestern University and IDEAL∗; Department of Statistics, Rutgers University
Conference: nips 2021 (main track)
Keywords: differential privacy;central limit theorem;uncertainty principle;Cramer-Rao lower bound
Decision: Spotlight
Title: Measuring Generalization with Optimal Transport
Authors: Ching-Yao Chuang, Youssef Mroueh, Kristjan Greenewald, Antonio Torralba, Stefanie Jegelka
Affiliations: MIT CSAIL; MIT-IBM Watson AI Lab; IBM Research AI
Conference: nips 2021 (main track)
Keywords: generalization;optimal transport;representation
Decision: Spotlight
Title: Local plasticity rules can learn deep representations using self-supervised contrastive predictions
Authors: Bernd Illing, Jean Ventura, Guillaume Bellec, Wulfram Gerstner
Affiliations: Department of Computer Science & Department of Life Sciences, École Polytechnique Fédérale de Lausanne, 1015 Switzerland
Conference: nips 2021 (main track)
Keywords: Synaptic plasticity;Hebbian learning;deep learning;self-supervised learning;contrastive predictive coding
Decision: Poster
Title: BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain
Authors: Zhao Tang Luo, Huiyan Sang, Bani Mallick
Affiliations: Department of Statistics, Texas A&M University
Conference: nips 2021 (main track)
Keywords: Bayesian nonparametric regression;Constrained domain;Ensemble learning;Manifold;Random spanning trees
Decision: Poster
Title: Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Authors: Tianhe Yu, Aviral Kumar, Yevgen Chebotar, Karol Hausman, Sergey Levine, Chelsea Finn
Affiliations: Stanford University, Google Research; Google Research; Google Research, UC Berkeley
Conference: nips 2021 (main track)
Keywords: offline reinforcement learning;multi-task reinforcement learning;deep reinforcement learning
Decision: Poster
Title: A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness
Authors: James Diffenderfer, Brian Bartoldson, Shreya Chaganti, Jize Zhang, Bhavya Kailkhura
Affiliations: Lawrence Livermore National Laboratory
Conference: nips 2021 (main track)
Keywords: robustness;compression;pruning;binarization;lottery-ticket hypothesis
Decision: Poster
Title: Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural Networks
Authors: Woochul Kang, Daeyeon Kim
Affiliations: Dain Technology, Inc.; Department of Embedded Systems Engineering, Incheon National University, Yeonsu-gu, South Korea 22012
Conference: nips 2021 (main track)
Keywords: parameter sharing;recursive networks;model compression;CNN;convolution networks;regularization;parameter-efficiency;efficiency
Decision: Poster