hunoutl/paperlists huggingface dataset:
Title: Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions
Authors: Rayan Mazouz, Karan Muvvala, Akash Ratheesh Babu, Luca Laurenti, Morteza Lahijanian
Affiliations: Department of Aerospace Engineering Sciences, University of Colorado Boulder, USA; Delft Center for Systems and Control, Delft University of Technology, The Netherlands
Conference: nips 2022 (main track)
Keywords: Safety Certificate;Neural Networks;Stochastic Dynamical Systems;Barrier Functions;Convex Optimization;Robotics and Control
Decision: Poster
Title: Rashomon Capacity: A Metric for Predictive Multiplicity in Classification
Authors: Hsiang Hsu, Flavio Calmon
Affiliations: John A. Paulson School of Engineering and Applied Sciences, Harvard University
Conference: nips 2022 (main track)
Keywords: Rashomon effect;Rashomon set;predictive multiplicity;channel capacity;Rashomon capacity;probabilistic classifier.
Decision: Poster
Title: Neuron with Steady Response Leads to Better Generalization
Authors: Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
Affiliations: Michigan State University, Michigan, U.S.; Microsoft Research Asia, Beijing, China; Tsinghua University, Beijing, China
Conference: nips 2022 (main track)
Keywords: deep learning;regularization;generalization
Decision: Poster
Title: Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders
Authors: Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper
Affiliations: Bosch Center for Artificial Intelligence; University of Siegen, Max Planck Institute for Informatics, Saarland Informatics Campus
Conference: nips 2022 (main track)
Keywords: Adversarial robustness;Generative models;Deterministic autoencoder
Decision: Poster
Title: When to Update Your Model: Constrained Model-based Reinforcement Learning
Authors: Tianying Ji, Yu Luo, Fuchun Sun, Mingxuan Jing, Fengxiang He, Wenbing Huang
Affiliations: Department of Computer Science and Technology, Tsinghua University; JD Explore Academy, JD.com Inc; Gaoling School of Artiﬁcial Intelligence, Renmin University of China; Science & Technology on Integrated Information System Laboratory, Institute of Software Chinese Academy of Sciences
Conference: nips 2022 (main track)
Keywords: Model-Based Reinforcement Learning;monotonic improvements;event-triggered mechanism
Decision: Poster
Title: Counterfactual Fairness with Partially Known Causal Graph
Authors: Aoqi Zuo, Susan Wei, Tongliang Liu, Bo Han, Kun Zhang, Mingming Gong
Affiliations: Carnegie Mellon University & MBZUAI; Hong Kong Baptist University; The University of Melbourne; The University of Sydney
Conference: nips 2022 (main track)
Keywords: causal inference;machine learning;fairness
Decision: Poster
Title: SwinTrack: A Simple and Strong Baseline for Transformer Tracking
Authors: Liting Lin, Heng Fan, Zhipeng Zhang, Yong Xu, Haibin Ling
Affiliations: Department of Computer Science, Stony Brook University, Stony Brook, USA; School of Computer Science & Engineering, South China Univ. of Tech., Guangzhou, China; Peng Cheng Laboratory, Shenzhen, China; DiDi Chuxing, Beijing, China; Department of Computer Science and Engineering, University of North Texas, Denton, USA
Conference: nips 2022 (main track)
Decision: Poster
Title: How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents
Authors: Yoav Kolumbus, Noam Nisan
Affiliations: The Hebrew University of Jerusalem
Conference: nips 2022 (main track)
Keywords: Regret minimization;Meta games;User incentives;Parameter manipulation;Learning agents;Algorithmic game theory;Multi-agent systems
Decision: Poster
Title: Matryoshka Representation Learning
Authors: Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham Kakade, Prateek Jain, Ali Farhadi
Affiliations: Harvard University; University of Washington; Google Research
Conference: nips 2022 (main track)
Keywords: Representation Learning;Efficient Deployment;Large-scale Retrieval;Large-scale Classification;Deep Learning;Computer Vision
Decision: Poster
Title: Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm
Authors: Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
Affiliations: CSoI, Purdue University; Indiana University; CSoI, Purdue University
Conference: nips 2022 (main track)
Keywords: Sequential probability assignment;Online Regression;Logarithmic Loss;Bayesian Algorithm;Shtarkov Sum
Decision: Highlighted
Title: LieGG: Studying Learned Lie Group Generators
Authors: Artem Moskalev, Anna Sepliarskaia, Ivan Sosnovik, Arnold Smeulders
Affiliations: Machine Learning Research Unit, TU Wien; UvA-Bosch Delta Lab, University of Amsterdam
Conference: nips 2022 (main track)
Keywords: invariance;equivariance;symmetry;Lie groups;interpretability
Decision: Poster
Title: Motion Transformer with Global Intention Localization and Local Movement Refinement
Authors: Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele
Affiliations: Max Planck Institute for Informatics, Saarland Informatics Campus
Conference: nips 2022 (main track)
Keywords: Motion Prediction;Autonomous Driving;Transformer
Decision: Highlighted
Title: Attention-based Neural Cellular Automata
Authors: Mattie Tesfaldet, Derek Nowrouzezahrai, Chris Pal
Affiliations: McGill University, Mila; Polytechnique Montréal, Mila
Conference: nips 2022 (main track)
Keywords: neural cellular automata;cellular automata;vision transformer;transformer;denoising autoencoding;computer vision;deep learning
Decision: Poster
Title: DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
Authors: Ruizhong Qiu, Zhiqing Sun, Yiming Yang
Affiliations: Language Technologies Institute, Carnegie Mellon University; Department of Computer Science, University of Illinois Urbana–Champaign
Conference: nips 2022 (main track)
Keywords: Combinatorial Optimization;Graph Neural Network;Meta Learning;Traveling Salesman Problem (TSP);Minimum Indepedent Set (MIS)
Decision: Poster
Title: Zero-Shot Video Question Answering via Frozen Bidirectional Language Models
Authors: Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid
Affiliations: DeepMind; CIIRC CTU Prague; Inria Paris, Département d’informatique de l’ENS, CNRS, PSL Research University
Conference: nips 2022 (main track)
Keywords: Video Question Answering;Zero-Shot;Vision and Language;Computer Vision
Decision: Poster
Title: 360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning
Authors: Bolivar Solarte, Chin-Hsuan Wu, Yueh-Cheng Liu, Yi-Hsuan Tsai, Min Sun
Affiliations: National Tsing Hua University; Phiar Technologies
Conference: nips 2022 (main track)
Keywords: self-training;scene understanding;omnidirectional vision
Decision: Poster
Title: Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
Authors: Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Harald Oberhauser, Michael A Osborne
Affiliations: Machine Learning Research Group, University of Oxford; Toyota Motor Corporation; Mathematical Institute, University of Oxford; Machine Learning Research Group, University of Oxford
Conference: nips 2022 (main track)
Keywords: Bayesian Quadrature;Kernel Quadrature;Gaussian Process;Active Learning;Model Evidence;Approximate Bayesian Computation
Decision: Poster
Title: Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks
Authors: Arian Jamasb, Ramon Viñas Torné, Eric Ma, Yuanqi Du, Charles Harris, Kexin Huang, Dominic Hall, Pietro Lió, Tom Blundell
Affiliations: Department of Biochemistry, University of Cambridge; Department of Computer Science, Stanford University; Department of Computer Science & Technology, University of Cambridge; PyMC Labs
Conference: nips 2022 (main track)
Keywords: Protein;Drug Discovery;Geometric Deep Learning;Biomolecules
Decision: Poster
Title: Hybrid Neural Autoencoders for Stimulus Encoding in Visual and Other Sensory Neuroprostheses
Authors: Jacob Granley, Lucas Relic, Michael Beyeler
Affiliations: Department of Computer Science, University of California, Santa Barbara; Department of Computer Science, Department of Psychological & Brain Sciences, University of California, Santa Barbara
Conference: nips 2022 (main track)
Keywords: Sensory Neuroprostheses;Bionic Vision;Brain Computer Interfaces;BCI;Stimulus Encoding;Autoencoder;Perception;Computational Modeling;Inverse Problem;Retinal Prostheses;Argus;Cortical Prostheses;Vision
Decision: Poster
Title: Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization
Authors: Tianyi Lin, Zeyu Zheng, Michael Jordan
Affiliations: University of California, Berkeley
Conference: nips 2022 (main track)
Keywords: gradient-free methods;nonsmooth nonconvex optimization;finite-time convergence guarantee;Goldstein subdifferential;smoothing
Decision: Poster
Title: TransTab: Learning Transferable Tabular Transformers Across Tables
Authors: Zifeng Wang, Jimeng Sun
Affiliations: Department of Computer Science, University of Illinois Urbana-Champaign; Department of Computer Science, University of Illinois Urbana-Champaign and Carle Illinois College of Medicine, University of Illinois Urbana-Champaign
Conference: nips 2022 (main track)
Keywords: tabular data;pretraining;transfer learning;contrastive learning
Decision: Poster
Title: Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
Authors: Derrick Xin, Behrooz Ghorbani, Justin Gilmer, Ankush Garg, Orhan Firat
Affiliations: Google Research, Mountain View, CA
Conference: nips 2022 (main track)
Keywords: Multi-Task Optimization;Multi-Task Neural Networks;Task Interference;Reproducible Research
Decision: Poster
Title: Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
Authors: Yongqiang Chen, Yonggang Zhang, Yatao Bian, Han Yang, MA Kaili, Binghui Xie, Tongliang Liu, Bo Han, James Cheng
Conference: nips 2022 (main track)
Keywords: Graph Neural Networks;Out-of-Distribution Generalization;Graph Representation Learning;Invariant Learning;Causal Representation Learning;Drug Discovery
Decision: Poster
Title: Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
Authors: Yibo Yang, Shixiang Chen, Xiangtai Li, Liang Xie, Zhouchen Lin, Dacheng Tao
Affiliations: Key Lab. of Machine Perception (MoE), School of Intelligence Science and Technology, Peking University; State Key Lab of CAD&CG, Zhejiang University; JD Explore Academy, Beijing, China; Institute for Artificial Intelligence, Peking University
Conference: nips 2022 (main track)
Keywords: neural collapse;simplex ETF;imbalanced learning;machine learning;learning theory
Decision: Poster
Title: Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
Authors: Madeline Chantry, Shruti Vyas, Hamid Palangi, Yogesh Rawat, Vibhav Vineet
Affiliations: Microsoft Research; University of Central Florida
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: robustness;multimodal modeling;text-to-video retrieval;benchmark;video-language modeling
Decision: Poster
Title: On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory
Authors: Yang Hu, Adam Wierman, Guannan Qu
Affiliations: ECE, Carnegie Mellon University, Pennsylvania, USA; SEAS, Harvard University, Massachusetts, USA; CMS, California Institute of Technology, California, USA
Conference: nips 2022 (main track)
Keywords: linear time-invariant systems;sample complexity;stability;learning-based control
Decision: Poster
Title: Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients
Authors: Kyurae Kim, Jisu Oh, Jacob Gardner, Adji Bousso Dieng, Hongseok Kim
Affiliations: Sogang University; Princeton University; University of Pennsylvania
Conference: nips 2022 (main track)
Keywords: variational inference;Bayesian inference;inclusive Kullback-Leibler divergence;Markov chain gradient descent;Markov chain
Decision: Poster
Title: Uncertainty-Aware Hierarchical Refinement for Incremental Implicitly-Refined Classification
Authors: Jian Yang, Kai Zhu, Kecheng Zheng, Yang Cao
Affiliations: University of Science and Technology of China; Ant Group; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center
Conference: nips 2022 (main track)
Keywords: incremental learning
Decision: Poster
Title: Formalizing Consistency and Coherence of Representation Learning
Authors: Harald Strömfelt, Luke Dickens, Artur Garcez, Alessandra Russo
Affiliations: Department of Information Studies, University College London, London, WC1E 6BT; Department of Computer Science, City, University of London, London, EC1V 0HB; Department of Computing, Imperial College London, London, SW7 2AZ
Conference: nips 2022 (main track)
Keywords: autoencoders;neuro-symbolic;consistency;coherence;transfer learning
Decision: Poster
Title: A General Framework for Auditing Differentially Private Machine Learning
Authors: Fred Lu, Joseph Munoz, Maya Fuchs, Tyler LeBlond, Elliott Zaresky-Williams, Edward Raff, Francis Ferraro, Brian Testa
Affiliations: University of Maryland, Baltimore County; Booz Allen Hamilton; Air Force Research Laboratory
Conference: nips 2022 (main track)
Keywords: differential privacy;privacy evaluation;private machine learning
Decision: Poster
Title: Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels
Authors: Mohamad Amin Mohamadi, Wonho Bae, Danica J. Sutherland
Affiliations: University of British Columbia, Alberta Machine Intelligence Institute; University of British Columbia
Conference: nips 2022 (main track)
Keywords: active learning;neural tangent kernels;retraining
Decision: Poster
Title: Improving Intrinsic Exploration with Language Abstractions
Authors: Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah Goodman, Tim Rocktäschel, Edward Grefenstette
Affiliations: University of Washington; Meta AI; University College London; University College London, Cohere; Stanford University
Conference: nips 2022 (main track)
Keywords: reinforcement learning;intrinsic motivation;exploration;language;deep rl;language-guided rl
Decision: Poster
Title: Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems
Authors: Rushang Karia, Rashmeet Kaur Nayyar, Siddharth Srivastava
Affiliations: School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85281, U.S.A.
Conference: nips 2022 (main track)
Keywords: Generalization;Sequential Decision Making;Transfer Learning;Stochastic Shortest Path Problems;Relational Abstractions;Model-based Policy Learning
Decision: Poster
Title: Markovian Interference in Experiments
Authors: Vivek Farias, Andrew Li, Tianyi Peng, Andrew Zheng
Affiliations: Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA 02139; Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA 02139; Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA 02139; Tepper School of Business, Carnegie Mellon University, Pittsburgh, PA 15213
Conference: nips 2022 (main track)
Keywords: Causal inference;Off-policy Evaluation;Experimentation;Interference;Reinforcement Learning
Decision: Highlighted
Title: Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems
Authors: Hyunwoong Chang, Changwoo Lee, Zhao Tang Luo, Huiyan Sang, Quan Zhou
Affiliations: Department of Statistics, Texas A&M University
Conference: nips 2022 (main track)
Keywords: Bayesian model selection;Markov chain Monte Carlo;mixing time;Multiple-try Metropolis
Decision: Highlighted
Title: Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning
Authors: Milad Sefidgaran, Romain Chor, Abdellatif Zaidi
Affiliations: Paris Research Center, Huawei Technologies France; Université Paris-Est, Champs-sur-Marne 77454, France
Conference: nips 2022 (main track)
Keywords: Distributed learning;Generalization error;Rate-distortion;SVM
Decision: Poster
Title: MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification
Authors: Zhenbin Wang, Mao Ye, Xiatian Zhu, Liuhan Peng, Liang Tian, Yingying Zhu
Affiliations: University of Electronic Science and Technology of China, Chengdu, China; University of Texas, Arlington, US; Xinjiang University, Ürümqi, China; University of Surrey, Guildford, UK
Conference: nips 2022 (main track)
Keywords: Meta learning;Medical image classification;Domain adaptation
Decision: Poster
Title: Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator
Authors: Lior Danon, Dan Garber
Affiliations: Technion - Israel Institute of Technology, Haifa, Israel 3200003
Conference: nips 2022 (main track)
Keywords: Frank-Wolfe;conditional gradient;projection-free;Tyler's M-estimator;robust covariance estimation;heavy tailed distributions;elliptical distributions;convex optimization;nonconvex optimization
Decision: Poster
Title: Molecule Generation by Principal Subgraph Mining and Assembling
Authors: Xiangzhe Kong, Wenbing Huang, Zhixing Tan, Yang Liu
Affiliations: Gaoling School of Artificial Intelligence, Renmin University of China; Institute for AIR, Tsinghua University; Beijing Academy of Artificial Intelligence; Dept. of Comp. Sci. & Tech., Institute for AI, BNRist Center, Tsinghua University
Conference: nips 2022 (main track)
Keywords: molecule generation;principal subgraph;global assembling
Decision: Highlighted
Title: AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Authors: Shoufa Chen, Chongjian GE, Zhan Tong, Jiangliu Wang, Yibing Song, Jue Wang, Ping Luo
Affiliations: The University of Hong Kong; Tencent AI Lab
Conference: nips 2022 (main track)
Keywords: Efficient Finetuning;Visual Adapter
Decision: Poster
Title: Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Authors: Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu
Affiliations: Stanford University; Massachusetts Institute of Technology; Carnegie Mellon University
Conference: nips 2022 (main track)
Keywords: Sparse;Generative Models;Diffusion Models;GANs;Efficiency
Decision: Poster
Title: A Reparametrization-Invariant Sharpness Measure Based on Information Geometry
Authors: Cheongjae Jang, Sungyoon Lee, Frank Park, Yung-Kyun Noh
Affiliations: Hanyang University; Seoul National University, Saige Research; Hanyang University, Korea Institute for Advanced Study; Korea Institute for Advanced Study
Conference: nips 2022 (main track)
Keywords: Deep learning;Information geometry;Sharpness measure;Reparametrization invariance;Generalization;the Fisher information matrix
Decision: Poster
Title: QC-StyleGAN - Quality Controllable Image Generation and Manipulation
Authors: Dat Viet Thanh Nguyen, Phong Tran The, Tan M. Dinh, Cuong Pham, Anh Tran
Affiliations: Posts & Telecommunications Institute of Technology, VinAI Research; VinAI Research; MBZUAI, VinAI Research
Conference: nips 2022 (main track)
Keywords: StyleGAN;GAN Inversion;Image restoration;Image Generation;Image Manipulation;Image Editing;Degradation Synthesis
Decision: Poster
Title: Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
Authors: Bowen Baker, Ilge Akkaya, Peter Zhokov, Joost Huizinga, Jie Tang, Adrien Ecoffet, Brandon Houghton, Raul Sampedro, Jeff Clune
Affiliations: University of British Columbia; OpenAI
Conference: nips 2022 (main track)
Decision: Highlighted
Title: Diffusion Curvature for Estimating Local Curvature in High Dimensional Data
Authors: Dhananjay Bhaskar, Kincaid MacDonald, Oluwadamilola Fasina, Dawson Thomas, Bastian Rieck, Ian Adelstein, Smita Krishnaswamy
Affiliations: Department of Computer Science, Department of Genetics, Applied Mathematics Program, Program for Computational Biology and Bioinformatics, Yale University; Institute of AI for Health, Helmholtz Pioneer Campus, Helmholtz Munich; Department of Mathematics, Yale University; Department of Mathematics, Department of Physics, Yale University; Applied Mathematics Program, Yale University; Department of Genetics, Yale University
Conference: nips 2022 (main track)
Keywords: local curvature estimation;neural network loss landscape;diffusion
Decision: Poster
Title: Efficient identification of informative features in simulation-based inference
Authors: Jonas Beck, Michael Deistler, Yves Bernaerts, Jakob H Macke, Philipp Berens
Affiliations: University of Tübingen, Max Planck Institute for Intelligent Systems; University of Tübingen
Conference: nips 2022 (main track)
Keywords: Simulation-based Inference;Feature Selection;Hodgkin-Huxley Model;Mechanistic Models;Neuroscience
Decision: Poster
Title: Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs
Authors: Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
Affiliations: Purdue University, West Lafayette, IN 47907; The George Washington University, Washington, DC 20052
Conference: nips 2022 (main track)
Keywords: Multi-agent Reinforcement Learning;Option Discovery;Kronecker Product
Decision: Poster
Title: Grounding Aleatoric Uncertainty for Unsupervised Environment Design
Authors: Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob Foerster
Affiliations: UCL & Meta AI; University of Oxford; UCL; FLAIR, U of Oxford; Inflection AI; UCL & Cohere; MILA & Meta AI; UC Berkeley
Conference: nips 2022 (main track)
Keywords: reinforcement learning;curriculum learning;generalization;environment design;procedural content generation
Decision: Poster
Title: Continuous MDP Homomorphisms and Homomorphic Policy Gradient
Authors: Sahand Rezaei-Shoshtari, Rosie Zhao, Prakash Panangaden, David Meger, Doina Precup
Affiliations: McGill University, Mila, and DeepMind; McGill University and Mila
Conference: nips 2022 (main track)
Keywords: reinforcement learning;state abstraction;policy optimization;continuous control;representation learning in reinforcement learning
Decision: Poster
Title: Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources
Authors: Peter Lippmann, Enrique Fita Sanmartín, Fred Hamprecht
Affiliations: IWR at Heidelberg University, 69120 Heidelberg, Germany
Conference: nips 2022 (main track)
Keywords: Combinatorial Optimization;Optimal Transport;Irrigation Networks;Structured Prediction;Steiner Tree Problem;Branched Optimal Transport;Transportation Networks
Decision: Poster
Title: Tensor Wheel Decomposition and Its Tensor Completion Application
Authors: Zhong-Cheng Wu, Ting-Zhu Huang, Liang-Jian Deng, Hong-Xia Dou, Deyu Meng
Affiliations: School of Mathematical Sciences, University of Electronic Science and Technology of China; School of Science, Xihua University; School of Mathematics and Statistics, Xi’an Jiaotong University
Conference: nips 2022 (main track)
Keywords: Tensor wheel decomposition;Computer vision;Tensor completion
Decision: Poster
Title: Learning State-Aware Visual Representations from Audible Interactions
Authors: Himangi Mittal, Pedro Morgado, Unnat Jain, Abhinav Gupta
Affiliations: Carnegie Mellon University; Meta AI Research
Conference: nips 2022 (main track)
Keywords: Video Representation learning;self-supervised learning;contrastive learning;audio-visual learning;egocentric videos;Ego4D;EPIC-Kitchens
Decision: Poster
Title: VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Authors: Zhan Tong, Yibing Song, Jue Wang, Limin Wang
Affiliations: State Key Laboratory for Novel Software Technology, Nanjing University; Tencent AI Lab; Shanghai AI Lab
Conference: nips 2022 (main track)
Keywords: video representation learning;action recognition;self-supervised learning
Decision: Poster