hunoutl/paperlists huggingface dataset:
Title: TAPEX: Table Pre-training via Learning a Neural SQL Executor
Authors: Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou
Affiliations: Microsoft Research Asia; Microsoft Azure AI; Xi’an Jiaotong University; Beihang University
Conference: iclr 2022 (main track)
Keywords: table pre-training;sythetic pre-training;SQL execution;table-based question answering;table-based fact verification
Decision: Poster
Title: Convergent and Efficient Deep Q Learning Algorithm
Authors: Zhikang T Wang, Masahito Ueda
Affiliations: Department of Physics and Institute for Physics of Intelligence, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan; RIKEN Center for Emergent Matter Science (CEMS), Wako, Saitama 351-0198, Japan; Department of Physics and Institute for Physics of Intelligence, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
Conference: iclr 2022 (main track)
Keywords: DQN;reinforcement learning;convergence
Decision: Poster
Title: IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes
Authors: QI LI, Kaichun Mo, Yanchao Yang, Hang Zhao, Leonidas Guibas
Affiliations: Stanford University; Tsinghua University
Conference: iclr 2022 (main track)
Keywords: Inter-object Functional Relationship;Learning Interactive Policy for Exploration;Interactive Perception;3D Scene Understanding
Decision: Poster
Title: A Zest of LIME: Towards Architecture-Independent Model Distances
Authors: Hengrui Jia, Hongyu Chen, Jonas Guan, Ali Shahin Shamsabadi, Nicolas Papernot
Affiliations: Vector Institute and The Alan Turing Institute; University of Toronto and Vector Institute; University of Toronto
Conference: iclr 2022 (main track)
Keywords: model distance;model stealing;machine unlearning;fairwashing
Decision: Poster
Title: A Loss Curvature Perspective on Training Instabilities of Deep Learning Models
Authors: Justin Gilmer, Behrooz Ghorbani, Ankush Garg, Sneha Kudugunta, Behnam Neyshabur, David Cardoze, George Dahl, Zachary Nado, Orhan Firat
Affiliations: ; Google
Conference: iclr 2022 (main track)
Keywords: Optimization;Deep Learning;Training Instability;Curvature;Loss Landscape;Hessian
Decision: Poster
Title: Contextualized Scene Imagination for Generative Commonsense Reasoning
Authors: PeiFeng Wang, Jonathan Zamora, Junfeng Liu, Filip Ilievski, Muhao Chen, Xiang Ren
Affiliations: Department of Computer Science, University of California, San Diego; Department of Computer Science, University of Southern California; Information Sciences Institute, University of Southern California
Conference: iclr 2022 (main track)
Keywords: Commonsense reasoning;constrained text generation;knowledge representation
Decision: Poster
Title: Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks
Authors: Arber Zela, Julien Niklas Siems, Lucas Zimmer, Jovita Lukasik, Margret Keuper, Frank Hutter
Affiliations: University of Freiburg, Bosch Center for AI; University of Freiburg; University of Mannheim
Conference: iclr 2022 (main track)
Keywords: neural architecture search;AutoML;benchmarking;surrogate model
Decision: Poster
Title: MetaMorph: Learning Universal Controllers with Transformers
Authors: Agrim Gupta, Jim Fan, Surya Ganguli, Li Fei-Fei
Affiliations: Stanford University; Stanford University, Stanford Institute for Human-Centered Artiﬁcial Intelligence; Stanford University, NVIDIA Corporation
Conference: iclr 2022 (main track)
Keywords: RL;Modular Robots;Transformers
Decision: Poster
Title: Pareto Policy Pool for Model-based Offline Reinforcement Learning
Authors: Yijun Yang, Jing Jiang, Tianyi Zhou, Jie Ma, Yuhui Shi
Affiliations: Department of Computer Science and Engineering, Southern University of Science and Technology; University of Washington, Seattle; Australian Artiﬁcial Intelligence Institute, University of Technology Sydney
Conference: iclr 2022 (main track)
Keywords: model-based offline RL;Pareto front;multi-objective optimization;policy pool;model return-uncertainty trade-off
Decision: Poster
Title: HTLM: Hyper-Text Pre-Training and Prompting of Language Models
Authors: Armen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu, Gargi Ghosh, Luke Zettlemoyer
Conference: iclr 2022 (main track)
Keywords: prompting;nlp;representational learning;priming
Decision: Poster
Title: Explaining Point Processes by Learning Interpretable Temporal Logic Rules
Authors: Shuang Li, Mingquan Feng, Lu Wang, Abdelmajid Essofi, Yufeng Cao, Junchi Yan, Le Song
Affiliations: CUHK, Shenzhen; Shenzhen Institute of Artificial Intelligence and Robotics for Society; Shanghai Jiao Tong University; MoE Key Lab of Artificial Intelligence; SJTU-Yale Joint Center for Biostatistics and Data Science; National Center for Translational Medicine; MBZUAI; BioMap; Shanghai Jiao Tong University; Antai College of Economics and Management; Data-Driven Management Decision Making Lab; MBZUAI; Microsoft Research
Conference: iclr 2022 (main track)
Keywords: Temporal Point Process;Temporal Logic Rules;Explainable Models
Decision: Poster
Title: The Spectral Bias of Polynomial Neural Networks
Authors: Moulik Choraria, Leello Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher
Affiliations: University of Illinois at Urbana-Champaign; EPFL, Switzerland; Univ. Grenoble-Alpes, Inria
Conference: iclr 2022 (main track)
Keywords: Deep Neural Networks;Polynomials;Spectral Bias;Neural Tangent Kernel;Deep Image Prior;Infinite Width;Mercer Decomposition
Decision: Poster
Title: Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification
Authors: Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Michael Blumenstein, Jing Jiang
Affiliations: University of Washington, Seattle; Australian Artiﬁcial Intelligence Institute, University of Technology Sydney
Conference: iclr 2022 (main track)
Keywords: Time series classification
Decision: Poster
Title: Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory
Authors: Zhi Zhang, Zhuoran Yang, Han Liu, Pratap Tokekar, Furong Huang
Affiliations: University of Maryland, College Park; Northwestern University; Yale University
Conference: iclr 2022 (main track)
Keywords: Multi-agent Reinforcement Learning;Predictive State Representation;Dynamic Interaction Graph
Decision: Spotlight
Title: Discovering Latent Concepts Learned in BERT
Authors: Fahim Dalvi, Abdul Khan, Firoj Alam, Nadir Durrani, Jia Xu, Hassan Sajjad
Affiliations: Qatar Computing Research Institute, HBKU Research Complex, Doha 5825, Qatar; School of Engineering and Science, Steven Institute of Technology, Hoboken, NJ 07030, USA
Conference: iclr 2022 (main track)
Keywords: interpretation;BERT;NLP
Decision: Poster
Title: DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
Authors: Aviral Kumar, Rishabh Agarwal, Tengyu Ma, Aaron Courville, George Tucker, Sergey Levine
Affiliations: UC Berkeley, Google Research; MILA; Google Research; Stanford University; Google Research, MILA
Conference: iclr 2022 (main track)
Keywords: Q-learning;offline RL;regularization
Decision: Spotlight
Title: You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction
Authors: Osama Makansi, Julius von Kuegelgen, Francesco Locatello, Peter Gehler, Dominik Janzing, Thomas Brox, Bernhard Schoelkopf
Affiliations: Amazon, Max Planck Institute for Intelligent Systems T¨ubingen; Amazon; Amazon, University of Freiburg; Max Planck Institute for Intelligent Systems T¨ubingen, University of Cambridge
Conference: iclr 2022 (main track)
Keywords: Feature Attribution;Shapley values;Trajectory Prediction;Causality
Decision: Poster
Title: Particle Stochastic Dual Coordinate Ascent: Exponential convergent algorithm for mean field neural network optimization
Authors: Kazusato Oko, Taiji Suzuki, Atsushi Nitanda, Denny Wu
Affiliations: University of Tokyo; Kyushu Institute of Technology, JST PRESTO, RIKEN AIP; University of Toronto, Vector Institute; University of Tokyo, RIKEN AIP
Conference: iclr 2022 (main track)
Keywords: Neural Network Optimization;Mean field Regime;Overparameterization
Decision: Poster
Title: On feature learning in neural networks with global convergence guarantees
Authors: Zhengdao Chen, Eric Vanden-Eijnden, Joan Bruna
Affiliations: Courant Institute of Mathematical Sciences, New York University, New York, NY 10012, USA; Courant Institute of Mathematical Sciences and Center for Data Science, New York University, New York, NY 10012, USA
Conference: iclr 2022 (main track)
Keywords: neural networks;feature learning;gradient descent;global convergence
Decision: Poster
Title: Inductive Relation Prediction Using Analogy Subgraph Embeddings
Authors: Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Zheng Zhang, David Wipf, Yong Yu, Quan Gan
Affiliations: Amazon; Shanghai Jiao Tong University
Conference: iclr 2022 (main track)
Keywords: Link Prediction;Relation Modelling;Heterogeneous Graphs;Knowledge Graphs
Decision: Poster
Title: ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
Authors: Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B Tenenbaum, Chuang Gan
Affiliations: MIT BCS, CBMM, CSAIL; MIT; The University of Hong Kong; Harvard University; MIT-IBM Watson AI Lab
Conference: iclr 2022 (main track)
Keywords: Compositional;Intutive Physics;Video Reasoning;Neural-Symbolic
Decision: Poster
Title: GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation
Authors: Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang
Affiliations: Stanford University; Mila - Québec AI Institute, Université de Montréal; Mila - Québec AI Institute, HEC Montréal, CIFAR AI Research Chair
Conference: iclr 2022 (main track)
Keywords: molecular conformation generation;deep generative models;diffusion probabilistic models
Decision: Oral
Title: Differentially Private Fine-tuning of Language Models
Authors: Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang
Affiliations: Microsoft Research Asia; Sun Yat-sen University†, Microsoft Research Asia; Microsoft Research, University of Washington; Cheriton School of Computer Science, University of Waterloo; Microsoft; Microsoft Research
Conference: iclr 2022 (main track)
Keywords: differential privacy;large language models;fine-tuning
Decision: Poster
Title: AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
Authors: David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alexey Kurakin
Affiliations: Google Research
Conference: iclr 2022 (main track)
Keywords: unsupervised domain adaptation;semi-supervised learning;semi-supervised domain adaptation
Decision: Poster
Title: THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
Authors: Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, Fabien Moutarde
Conference: iclr 2022 (main track)
Keywords: Trajectory prediction;Multi-agent;Motion forecasting;Motion estimation;Autonomous driving
Decision: Poster
Title: Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space
Authors: Yaohua Wang, Yaobin Zhang, Fangyi Zhang, Senzhang Wang, Ming Lin, Yuqi Zhang, Xiuyu Sun
Affiliations: Alibaba Group; Central South University
Conference: iclr 2022 (main track)
Keywords: Face Clustering;Graph Convolutional Networks (GCN);Computer Vision
Decision: Poster
Title: Multimeasurement Generative Models
Authors: Saeed Saremi, Rupesh K Srivastava
Affiliations: NNAISENSE Inc.; NNAISENSE Inc. and Redwood Center, UC Berkeley
Conference: iclr 2022 (main track)
Keywords: energy based models;Langevin MCMC;score matching;denoising autoencoders;empirical Bayes
Decision: Poster
Title: NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training
Authors: Chengyue Gong, Dilin Wang, Meng Li, Xinlei Chen, Zhicheng Yan, Yuandong Tian, Qiang Liu, Vikas Chandra
Affiliations: University of Texas at Austin; Meta Reality Labs
Conference: iclr 2022 (main track)
Keywords: vision transformer;gradient conflict;neural architecture search
Decision: Poster
Title: StyleAlign: Analysis and Applications of Aligned StyleGAN Models
Authors: Zongze Wu, Yotam Nitzan, Eli Shechtman, Dani Lischinski
Affiliations: Adobe Research; The Hebrew University; Tel-Aviv University
Conference: iclr 2022 (main track)
Keywords: StyleGAN;transfer learning;fine tuning;model alignment;image-to-image translation;image morphing
Decision: Oral
Title: Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data
Authors: Yaxing Wang, Joost van de Weijer, Lu Yu, SHANGLING JUI
Affiliations: College of Computer Science, Nankai University, China; Computer Vision Center, Universitat Aut `onoma de Barcelona, Spain; School of Computer Science and Engineering, Tianjin University of Technology, China; Huawei Kirin Solution, China
Conference: iclr 2022 (main track)
Keywords: Transfer learning;image synthesis;limited data.
Decision: Poster
Title: Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains
Authors: Qilong Zhang, Xiaodan Li, YueFeng Chen, Jingkuan Song, Lianli Gao, Yuan He, Hui Xue'
Affiliations: University of Electronic Science and Technology of China, China; Alibaba Group, China
Conference: iclr 2022 (main track)
Keywords: practice black-box attack;cross-domain transferability
Decision: Poster
Title: Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization
Authors: Xi Lin, Zhiyuan Yang, Qingfu Zhang
Affiliations: Department of Computer Science, City University of Hong Kong
Conference: iclr 2022 (main track)
Keywords: Multiobjective Combinatorial Optimization;Combinatorial Optimization;Neural Combinatorial Optimization;Multiobjective Optimization
Decision: Poster
Title: Understanding the Variance Collapse of SVGD in High Dimensions
Authors: Jimmy Ba, Murat A Erdogdu, Marzyeh Ghassemi, Shengyang Sun, Taiji Suzuki, Denny Wu, Tianzong Zhang
Affiliations: University of Tokyo, RIKEN AIP; Tsinghua University; University of Toronto, Vector Institute
Conference: iclr 2022 (main track)
Keywords: Stein Variational Gradient Descent;Approximate Inference;Particle-based Variational Inference
Decision: Poster
Title: A global convergence theory for deep ReLU implicit networks via over-parameterization
Authors: Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao
Affiliations: Department of Computer Science, Iowa State University; Dept. of Electrical and Computer Engineering, The Ohio State University; Department of Mathematics, Iowa State University
Conference: iclr 2022 (main track)
Keywords: Deep learning;Deep implicit learning;deep equilibrium model;gradient descent;stochastic gradient descent;over-parameterization
Decision: Poster
Title: Toward Faithful Case-based Reasoning through Learning Prototypes in a Nearest Neighbor-friendly Space.
Authors: Seyed Omid Davoudi, Majid Komeili
Affiliations: School of Computer Science, Carleton University, Ottawa, ON, Canada
Conference: iclr 2022 (main track)
Keywords: case-based reasoning;interpretable machine learning;explainable artificial intelligence;xai;prototype learning
Decision: Poster
Title: Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning
Authors: Shaofeng Zhang, Feng Zhu, Junchi Yan, Rui Zhao, Xiaokang Yang
Affiliations: Shanghai Jiao Tong University, SenseTime Research; Shanghai Jiao Tong University; SenseTime Research
Conference: iclr 2022 (main track)
Keywords: Self supervised learning;representation learning
Decision: Poster
Title: Offline Reinforcement Learning with Value-based Episodic Memory
Authors: Xiaoteng Ma, Yiqin Yang, Hao Hu, Jun Yang, Chongjie Zhang, Qianchuan Zhao, Bin Liang, Qihan Liu
Affiliations: Institute for Interdisciplinary Information Sciences, Tsinghua University; Department of Automation, Tsinghua University
Conference: iclr 2022 (main track)
Keywords: Reinforcement Learning;Offline Learning;Episodic Memory Control
Decision: Poster
Title: Learning Temporally Causal Latent Processes from General Temporal Data
Authors: Weiran Yao, Yuewen Sun, Alex Ho, Changyin Sun, Kun Zhang
Affiliations: Southeast University, Nanjing, China; Carnegie Mellon University, Pittsburgh PA, USA; Rice University, Houston TX, USA; Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates
Conference: iclr 2022 (main track)
Decision: Poster
Title: Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
Authors: Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Mocanu
Affiliations: Eindhoven University of Technology, University of Twente; University of Texas at Austin; Eindhoven University of Technology; University of Twente
Conference: iclr 2022 (main track)
Keywords: efficient ensemble;FreeTickets;dynamic sparse training;deep ensemble;dynamic sparsity
Decision: Poster
Title: A Deep Variational Approach to Clustering Survival Data
Authors: Laura Manduchi, Ričards Marcinkevičs, Michela Massi, Thomas Weikert, Alexander Sauter, Verena Gotta, Timothy Müller, Flavio Vasella, Marian Neidert, Marc Pfister, Bram Stieltjes, Julia E Vogt
Affiliations: University Children’s Hospital Basel; Politecnico di Milano; CADS, Human Technopole; St. Gallen Cantonal Hospital; University of Zürich; ETH Zürich; University Hospital Basel
Conference: iclr 2022 (main track)
Keywords: survival analysis;clustering;healthcare;variational autoencoders;deep generative models
Decision: Poster
Title: Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics
Authors: Yonathan Efroni, Dipendra Kumar Misra, Akshay Krishnamurthy, Alekh Agarwal, John Langford
Affiliations: Google; Microsoft Research, New York, NY
Conference: iclr 2022 (main track)
Keywords: Reinforcement Learning Theory;Invariant Representation;Rich Observation Reinforcement Learning;Exogenous Noise;Inverse Dynamics
Decision: Oral
Title: Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity
Authors: Byungseok Roh, JaeWoong Shin, Wuhyun Shin, Saehoon Kim
Affiliations: Lunit; KakaoBrain
Conference: iclr 2022 (main track)
Keywords: Transformer Query Sparsification Mechanism;Efficient End-to-End Object Detection
Decision: Poster
Title: Semi-relaxed Gromov-Wasserstein divergence and applications on graphs
Authors: Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
Affiliations: MSI3; Univ. Lyon, Inria, CNRS, ENS de Lyon, LIP UMR 5668; Univ. C ˆote d’Azur, Inria, Maasai, CNRS, LJAD; Univ. Bretagne-Suf, CNRS, IRISA; IP Paris, CMAP, UMR 7641
Conference: iclr 2022 (main track)
Keywords: Optimal Transport;Graph Learning
Decision: Poster
Title: Anti-Concentrated Confidence Bonuses For Scalable Exploration
Authors: Jordan Ash, Cyril Zhang, Surbhi Goel, Akshay Krishnamurthy, Sham M Kakade
Affiliations: Microsoft Research NYC; Microsoft Research NYC, Harvard University
Conference: iclr 2022 (main track)
Keywords: deep reinforcement learning;reinforcement learning;bandits;exploration
Decision: Poster
Title: Exploring extreme parameter compression for pre-trained language models
Authors: Wang Benyou, Yuxin Ren, Lifeng Shang, Xin Jiang, Qun Liu
Affiliations: Huawei Noah’s Ark Lab; University of Padua; Tsinghua University
Conference: iclr 2022 (main track)
Keywords: pre-trained language models;tensor decomposition;compression;BERT
Decision: Poster
Title: Language-driven Semantic Segmentation
Authors: Boyi Li, Kilian Weinberger, Serge Belongie, Vladlen Koltun, Rene Ranftl
Affiliations: Intel Labs; University of Copenhagen; Cornell University, Cornell Tech; Cornell University; Apple
Conference: iclr 2022 (main track)
Keywords: language-driven;semantic segmentation;zero-shot;transformer
Decision: Poster
Title: Transformer Embeddings of Irregularly Spaced Events and Their Participants
Authors: Hongyuan Mei, Chenghao Yang, Jason Eisner
Affiliations: Dept. of Computer Science, Johns Hopkins University; Toyota Tech. Institute at Chicago; Dept. of Computer Science, Columbia University
Conference: iclr 2022 (main track)
Keywords: irregular time series;generative Transformers;neuro-symbolic architectures;logic programming
Decision: Poster
Title: Looking Back on Learned Experiences For Class/task Incremental Learning
Authors: Mozhgan Pourkeshavarz, Guoying Zhao, Mohammad Sabokrou
Affiliations: Center for Machine Vision and Signal Analysis, University of Oulu, Finland; School of Computer Science, Institute for Research in Fundamental Sciences (IPM)
Conference: iclr 2022 (main track)
Keywords: Deepl Learning;Class Incremental learning;Continual learning;Experiences
Decision: Spotlight
Title: Equivariant Graph Mechanics Networks with Constraints
Authors: Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
Affiliations: Department of Computer Science and Engineering, University of Texas at Arlington; Institute for AI Industry Research (AIR), Tsinghua University; Beijing National Research Center for Information Science and Technology (BNRist), Department of Computer Science and Technology, Tsinghua University; Tencent AI Lab
Conference: iclr 2022 (main track)
Decision: Poster
Title: Auto-Transfer: Learning to Route Transferable Representations
Authors: Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar
Affiliations: IBM Research, Yorktown Heights; Rensselaer Polytechnic Institute, New York
Conference: iclr 2022 (main track)
Keywords: Feature routing;Transferable Representations
Decision: Poster
Title: Evaluating Model-Based Planning and Planner Amortization for Continuous Control
Authors: Arunkumar Byravan, Leonard Hasenclever, Piotr Trochim, Mehdi Mirza, Alessandro Ialongo, Yuval Tassa, Jost Tobias Springenberg, Abbas Abdolmaleki, Nicolas Heess, Josh Merel, Martin Riedmiller
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany and Computational and Biological Learning Group, University of Cambridge; Facebook Reality Labs; DeepMind
Conference: iclr 2022 (main track)
Keywords: Model-based Reinforcement Learning;Planning;Robotics;Model Predictive Control;Learning
Decision: Poster
Title: On the Existence of Universal Lottery Tickets
Authors: Rebekka Burkholz, Nilanjana Laha, Rajarshi Mukherjee, Alkis Gotovos
Affiliations: MIT CSAIL; CISPA Helmholtz Center for Information Security; Harvard T.H. Chan School of Public Health
Conference: iclr 2022 (main track)
Keywords: theory;deep learning;lottery tickets;universality
Decision: Poster
Title: Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
Authors: Tianlong Chen, Zhenyu Zhang, pengjun wang, Santosh Balachandra, Haoyu Ma, Zehao Wang, Zhangyang Wang
Affiliations: University of Texas at Austin; University of Science and Technology of China; University of California, Irvine
Conference: iclr 2022 (main track)
Decision: Poster
Title: Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Authors: Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William Freeman
Affiliations: MIT, Microsoft; MIT; MIT, Google; Cornell University, Google; Cornell University
Conference: iclr 2022 (main track)
Keywords: Unsupervised Semantic Segmentation;Unsupervised Learning;Deep Features;Contrastive Learning;Visual Transformers;Cocostuff;Cityscapes;Semantic Segmentation
Decision: Poster
Title: Improving Mutual Information Estimation with Annealed and Energy-Based Bounds
Authors: Rob Brekelmans, Sicong(Sheldon) Huang, Marzyeh Ghassemi, Greg Ver Steeg, Roger Grosse, Alireza Makhzani
Conference: iclr 2022 (main track)
Keywords: mutual information estimation;annealed importance sampling;energy-based models
Decision: Poster
Title: Trigger Hunting with a Topological Prior for Trojan Detection
Authors: Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen
Affiliations: Stony Brook University; SRI International
Conference: iclr 2022 (main track)
Keywords: Trojan detection;diversity loss;topological prior
Decision: Poster