hunoutl/paperlists huggingface dataset:
Title: Evaluating Gradient Inversion Attacks and Defenses in Federated Learning
Authors: Yangsibo Huang, Samyak Gupta, Zhao Song, Kai Li, Sanjeev Arora
Affiliations: Princeton University, Princeton, NJ 08540; Adobe Research, San Jose, CA 95110
Conference: nips 2021 (main track)
Keywords: Federated learning;gradient inversion;deep leakage from gradients
Decision: Oral
Title: Self-Supervised Learning with Kernel Dependence Maximization
Authors: Yazhe Li, Roman Pogodin, Danica J. Sutherland, Arthur Gretton
Affiliations: Gatsby Unit, UCL; DeepMind and Gatsby Unit, UCL; UBC and Amii
Conference: nips 2021 (main track)
Keywords: self-supervised learning;representation learning;dependence maximization;HSIC;deep kernel methods
Decision: Poster
Title: Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
Authors: Michael Boratko, Dongxu Zhang, Nicholas Monath, Luke Vilnis, Kenneth L Clarkson, Andrew McCallum
Affiliations: University of Massachusetts Amherst; IBM Research
Conference: nips 2021 (main track)
Keywords: graph embeddings;representation learning;knowledge graphs;structured prediction
Decision: Poster
Title: Adaptive Diffusion in Graph Neural Networks
Authors: Jialin Zhao, Yuxiao Dong, Ming Ding, Evgeny Kharlamov, Jie Tang
Affiliations: Bosch Center for Artiﬁcial Intelligence; Microsoft Research; Tsinghua University
Conference: nips 2021 (main track)
Keywords: Graph Convolutional Network
Decision: Poster
Title: Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation
Authors: Ke Wang, Vidya Muthukumar, Christos Thrampoulidis
Affiliations: Department of Statistics and Applied Probability, University of California, Santa Barbara, Santa Barbara, CA 93106; School of Electrical and Computer Engineering & Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332; Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC Canada V6T 1Z4
Conference: nips 2021 (main track)
Keywords: interpolation;multiclass classification;SVM;generalization bounds;Gaussian mixture model
Decision: Poster
Title: Towards Lower Bounds on the Depth of ReLU Neural Networks
Authors: Christoph Hertrich, Amitabh Basu, Marco Di Summa, Martin Skutella
Affiliations: Johns Hopkins University, Baltimore, USA; Technische Universität Berlin, Berlin, Germany; Università degli Studi di Padova, Padua, Italy
Conference: nips 2021 (main track)
Keywords: ReLU Neural Networks;Expressivity;Depth Bounds;Polyhedral Methods;Mixed-Integer Optimization
Decision: Poster
Title: Perceptual Score: What Data Modalities Does Your Model Perceive?
Authors: Itai Gat, Idan Schwartz, Alex Schwing
Affiliations: University of Illinois at Urbana-Champaign; Technion
Conference: nips 2021 (main track)
Keywords: VQA;Visual Question Answering;VQA-CP;Perceptiveness;Multimodal;Evaluation;Visual dialog;SocialIQ
Decision: Poster
Title: Towards a Theoretical Framework of Out-of-Distribution Generalization
Authors: Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang
Affiliations: Huawei Noah’s Ark Lab; Peking University; Key Laboratory of Machine Perception, MOE, School of EECS, Institute for Artiﬁcial Intelligence, Peking University; Peking University, Pazhou Lab
Conference: nips 2021 (main track)
Keywords: OOD Generalization;Theory;Model Selection
Decision: Poster
Title: Shapley Residuals: Quantifying the limits of the Shapley value for explanations
Authors: Indra Kumar, Carlos Scheidegger, Suresh Venkatasubramanian, Sorelle Friedler
Affiliations: Department of Computer Science, University of Arizona, Tucson, AZ 85721; Department of Computer Science, Brown University, Providence, RI 02912; Computer Science Dept., Haverford College, Haverford, PA 19041
Conference: nips 2021 (main track)
Keywords: shapley;shap;xai;explainability
Decision: Poster
Title: A unified framework for bandit multiple testing
Authors: Ziyu Xu, Ruodu Wang, Aaditya Ramdas
Affiliations: Department of Statistics and Data Science, Machine Learning Department, Carnegie Mellon University, USA; Department of Statistics and Data Science, Carnegie Mellon University, USA; Department of Statistics and Actuarial Science, University of Waterloo, Canada
Conference: nips 2021 (main track)
Keywords: bandits;multiple testing
Decision: Poster
Title: Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings
Authors: Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
Affiliations: London School of Economics and Political Science, London, UK; North Carolina State University, Raleigh, USA
Conference: nips 2021 (main track)
Keywords: Statistical Learning;Off-Policy Evaluation;Deep Learning;Continuous Treatments;Multi-Scale Change Point Detection;Precision medicine
Decision: Poster
Title: Stochastic $L^\natural$-convex Function Minimization
Authors: Haixiang Zhang, Zeyu Zheng, Javad Lavaei
Affiliations: Department of IEOR, University of California, Berkeley, Berkeley, CA 94704; Department of Mathematics, University of California, Berkeley, Berkeley, CA 94704
Conference: nips 2021 (main track)
Keywords: L#-convex function minimization;stochastic optimization;simulation optimization;submodular function minimization
Decision: Poster
Title: Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity
Authors: Vladimir Ivanov, Konstantinos Michmizos
Affiliations: Department of Computer Science, Rutgers University, Piscataway, NJ
Conference: nips 2021 (main track)
Keywords: liquid state machine;astrocytes;spiking neural networks;neuromorphic computing;neuron-astrocyte networks;STDP;self organized criticality
Decision: Poster
Title: Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes
Authors: Sanghyun Hong, Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Tudor Dumitras
Affiliations: Oregon State University; University of Maryland, College Park
Conference: nips 2021 (main track)
Keywords: Neural network quantization;adversarial attack;backdoor attack;behavioral disparity
Decision: Poster
Title: Per-Pixel Classification is Not All You Need for Semantic Segmentation
Authors: Bowen Cheng, Alex Schwing, Alexander Kirillov
Affiliations: University of Illinois at Urbana-Champaign (UIUC); Facebook AI Research (FAIR)
Conference: nips 2021 (main track)
Keywords: semantic segmentation;panoptic segmentation;mask classification
Decision: Spotlight
Title: VoiceMixer: Adversarial Voice Style Mixup
Authors: Sang-Hoon Lee, Ji-Hoon Kim, Hyunseung Chung, Seong-Whan Lee
Affiliations: Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea; Department of Artiﬁcial Intelligence, Korea University, Seoul, Korea
Conference: nips 2021 (main track)
Keywords: Voice Conversion;Style Transfer;Speech Processing
Decision: Poster
Title: Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
Authors: Naoya Takeishi, Alexandros Kalousis
Affiliations: University of Applied Sciences and Arts Western Switzerland (HES-SO), Geneva, Switzerland
Conference: nips 2021 (main track)
Keywords: generative models;variational autoencoders;physics-integrated machine learning;gray-box modeling;hybrid modeling
Decision: Poster
Title: Causal Effect Inference for Structured Treatments
Authors: Jean Kaddour, Yuchen Zhu, Qi Liu, Matt Kusner, Ricardo Silva
Affiliations: Department of Statistical Science, University College London; Department of Computer Science, University of Oxford; Centre for Artiﬁcial Intelligence, University College London
Conference: nips 2021 (main track)
Keywords: Causal Inference;Causal Effects
Decision: Poster
Title: Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems
Authors: Jiayang Xu, Aniruddhe Pradhan, Karthikeyan Duraisamy
Affiliations: Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI 48109.
Conference: nips 2021 (main track)
Keywords: mesh-based model;graph neural networks;conditional parameterization;computational physics
Decision: Poster
Title: Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Authors: Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu
Affiliations: School of Computer Science Engineering, Nanyang Technological University
Conference: nips 2021 (main track)
Keywords: Unsupervised Domain Adaptation;Model Adaptation;Contrastive Learning;Segmentation;Detection;Classification;Transfer Learning
Decision: Poster
Title: Adaptive Online Packing-guided Search for POMDPs
Authors: Chenyang Wu, Guoyu Yang, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu, Jianye Hao
Affiliations: Noah’s Ark Lab, Huawei Company; National Key Lab for Novel Software Technology, Nanjing University, Nanjing 210023, China; National Key Lab for Novel Software Technology, Nanjing University, Nanjing 210023, China; Pazhou Lab, Guangzhou 510330, China
Conference: nips 2021 (main track)
Keywords: POMDPs;Online Planning;Decision under Uncertainty
Decision: Poster
Title: Provably Faster Algorithms for Bilevel Optimization
Authors: Junjie Yang, Kaiyi Ji, Yingbin Liang
Affiliations: Department of ECE, The Ohio State University; Department of EECS, University of Michigan
Conference: nips 2021 (main track)
Keywords: Bilevel Optimization;Momentum;Recursive Gradient Estimator;Hessian Vector Computation
Decision: Spotlight
Title: Fast Axiomatic Attribution for Neural Networks
Authors: Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Affiliations: Department of Computer Science, TU Darmstadt; Department of Computer Science, TU Darmstadt; hessian.AI
Conference: nips 2021 (main track)
Keywords: deep learning;interpretability;attributions;explanations;attribution priors
Decision: Poster
Title: Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models
Authors: Behnoush Khavari
Affiliations: DIRO & Mila, Université de Montréal; DIRO & Mila, CIFAR AI Chair, Université de Montréal
Conference: nips 2021 (main track)
Keywords: Statistical Learning Theory;Tensor Networks;Generalization Bound;VC dimension;Tensor Decomposition Techniques;Tensor Train;Tensor Ring
Decision: Spotlight
Title: Set Prediction in the Latent Space
Authors: Konpat Preechakul, Chawan Piansaddhayanon, Burin Naowarat, Tirasan Khandhawit, Sira Sriswasdi, Ekapol Chuangsuwanich
Affiliations: Computational Molecular Biology Group, Faculty of Medicine, Chulalongkorn University; Department of Computer Engineering, Chulalongkorn University; Department of Mathematics, Faculty of Sciences, Mahidol University; Department of Computer Engineering, Chulalongkorn University and Computational Molecular Biology Group, Faculty of Medicine, Chulalongkorn University
Conference: nips 2021 (main track)
Keywords: set prediction;object detection;image captioning;medical report generation
Decision: Poster
Title: Interpretable agent communication from scratch (with a generic visual processor emerging on the side)
Authors: Roberto Dessi, Eugene Kharitonov, Baroni Marco
Affiliations: Facebook AI Research; Facebook AI Research, Universitat Pompeu Fabra; Facebook AI Research, Universitat Pompeu Fabra, ICREA
Conference: nips 2021 (main track)
Keywords: emergent communication;self-supervised learning;interpretability;multi-agent;deep neural networks
Decision: Poster
Title: Curriculum Design for Teaching via Demonstrations: Theory and Applications
Authors: Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla
Affiliations: Max Planck Institute for Software Systems (MPI-SWS), Saarbrucken, Germany; The Alan Turing Institute, London, UK; Max Planck Institute for Software Systems (MPI-SWS), Saarbrucken, Germany; Saarland University, Saarland Informatics Campus (SIC), Saarbrucken, Germany
Conference: nips 2021 (main track)
Keywords: imitation learning;teaching via demonstrations;curriculum design;inverse reinforcement learning
Decision: Poster
Title: Learning in two-player zero-sum partially observable Markov games with perfect recall
Authors: Tadashi Kozuno, Pierre Ménard, Remi Munos, Michal Valko
Affiliations: DeepMind Paris; Otto von Guericke Universität Magdeburg; University of Alberta
Conference: nips 2021 (main track)
Keywords: online learning;reinforcement learning;Nash equilibrium;Markov games
Decision: Poster
Title: Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation
Authors: Jinming Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Wang Li
Affiliations: Zhejiang University; Ant Group; Sony AI; Emory University
Conference: nips 2021 (main track)
Keywords: Social Recommendation;secure machine learning;MPC;PIR
Decision: Poster
Title: Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
Authors: Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm
Affiliations: Tulane University; Lawrence Livermore National Laboratory; IBM Research
Conference: nips 2021 (main track)
Keywords: data poisoning;unsupervised domain adaptation;domain adaptation
Decision: Poster
Title: A Comprehensively Tight Analysis of Gradient Descent for PCA
Authors: Zhiqiang Xu, Ping Li
Affiliations: Cognitive Computing Lab, Baidu Research, No. 10 Xibeiwang East Road, Beijing 100193, China; 10900 NE 8th St. Bellevue, Washington 98004, USA
Conference: nips 2021 (main track)
Keywords: PCA;Riemannian gradient descent;tight rate;gap-free rate
Decision: Poster
Title: Towards Instance-Optimal Offline Reinforcement Learning with Pessimism
Authors: Ming Yin, Yu-Xiang Wang
Affiliations: Department of Computer Science, UC Santa Barbara; Department of Computer Science, UC Santa Barbara and Department of Statistics and Applied Probability, UC Santa Barbara
Conference: nips 2021 (main track)
Keywords: Theory;Reinforcement Learning Theory;Markov Decision Process Theory
Decision: Poster
Title: Fast Federated Learning in the Presence of Arbitrary Device Unavailability
Authors: Xinran Gu, Kaixuan Huang, Jingzhao Zhang, Longbo Huang
Affiliations: ECE, Princeton University; IIIS, Tsinghua University; EECS, Massachusetts Institute of Technology
Conference: nips 2021 (main track)
Keywords: Federated Learning;Distributed Optimization
Decision: Poster
Title: Probabilistic Tensor Decomposition of Neural Population Spiking Activity
Authors: Hugo Soulat, Sepiedeh Keshavarzi, Troy Margrie, Maneesh Sahani
Affiliations: Sainsbury Wellcome Centre, University College London, London, W1T 4JG; Gatsby Unit, University College London, London, W1T 4JG
Conference: nips 2021 (main track)
Keywords: Probabilistic;Tensor Decomposition;Neuroscience;Spike;Population Activity;Count
Decision: Spotlight
Title: Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection
Authors: NA DONG, Yongqiang Zhang, Mingli Ding, Gim Hee Lee
Affiliations: School of Instrument Science and Engineering, Harbin Institute of Technology; Department of Computer Science, National University of Singapore; Department of Computer Science, National University of Singapore / School of Instrument Science and Engineering, Harbin Institute of Technology
Conference: nips 2021 (main track)
Keywords: Incremental learning;Object detection;Non co-occurrence
Decision: Poster
Title: Understanding Interlocking Dynamics of Cooperative Rationalization
Authors: Mo Yu, Yang Zhang, Shiyu Chang, Tommi Jaakkola
Affiliations: CSAIL MIT; MIT-IBM Watson AI Lab; MIT-IBM Watson AI Lab, UC Santa Barbara
Conference: nips 2021 (main track)
Keywords: Rationalization;interlocking;cooperative game;model explainability;natural language processing
Decision: Poster
Title: Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification
Authors: Clémence Réda, Andrea Tirinzoni, Rémy Degenne
Affiliations: Université de Paris, NeuroDiderot, Inserm, F-75019 Paris, France; Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France
Conference: nips 2021 (main track)
Keywords: misspecification;linear bandits;fixed-confidence top-m identification;pure exploration;recommendation systems;multi-armed bandits
Decision: Poster
Title: Curriculum Learning for Vision-and-Language Navigation
Authors: Jiwen Zhang, zhongyu wei, Jianqing Fan, Jiajie Peng
Affiliations: Research Institute of Intelligent and Complex Systems, Fudan University, China; Department of Operations Research and Financial Engineering, Princeton University, USA; School of Data Science, Fudan University, China
Conference: nips 2021 (main track)
Keywords: Vision-and-language navigation;curriculum learning;multimodal learning
Decision: Poster
Title: Towards Best-of-All-Worlds Online Learning with Feedback Graphs
Authors: Liad Erez, Tomer Koren
Affiliations: Blavatnik School of Computer Science, Tel Aviv University and Google Research; Blavatnik School of Computer Science, Tel Aviv University
Conference: nips 2021 (main track)
Keywords: Online Learning;Multi-armed Bandit;Feedback Graphs;Adversarial Corruptions
Decision: Poster
Title: HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
Affiliations: Albert-Ludwigs-Universität Freiburg; Amazon; Leibniz Universität Hannover
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Hyperparameter Optimization;Benchmarking;Multi-Fidelity;Bayesian Optimization
Decision: Poster
Title: Multiclass Boosting and the Cost of Weak Learning
Authors: Nataly Brukhim, Elad Hazan, Shay Moran, Indraneel Mukherjee, Robert Schapire
Affiliations: ; Technion, Google Research; Microsoft Research; Princeton University, Google AI Princeton
Conference: nips 2021 (main track)
Keywords: Boosting
Decision: Poster
Title: Boosting with Multiple Sources
Authors: Corinna Cortes, Mehryar Mohri, Dmitry Storcheus, Ananda Theertha Suresh
Affiliations: Google Research, New York, NY 10011; Courant Institute & Google, New York, NY 10012; Google & Courant Institute, New York, NY 10012
Conference: nips 2021 (main track)
Keywords: boosting;multiple sources;generalization bounds;federated learning
Decision: Poster
Title: Asymptotics of representation learning in finite Bayesian neural networks
Authors: Jacob Zavatone-Veth, Abdulkadir Canatar, Ben Ruben, Cengiz Pehlevan
Affiliations: Biophysics Graduate Program, Harvard University; Center for Brain Science, John A. Paulson School of Engineering and Applied Sciences, Harvard University; Department of Physics, Center for Brain Science, Harvard University
Conference: nips 2021 (main track)
Keywords: Representation learning;Bayesian neural networks;finite width corrections
Decision: Poster
Title: Topological Detection of Trojaned Neural Networks
Authors: Songzhu Zheng, Yikai Zhang, Hubert Wagner, Mayank Goswami, Chao Chen
Affiliations: University of Florida; Stony Brook University; Morgan Stanley; City University of New York
Conference: nips 2021 (main track)
Keywords: Topology;Persistence Homology;Trojan Attack
Decision: Poster
Title: A flow-based latent state generative model of neural population responses to natural images
Authors: Mohammad Bashiri, Edgar Walker, Konstantin-Klemens Lurz, Akshay Jagadish, Taliah Muhammad, Zhiwei Ding, Zhuokun Ding, Andreas Tolias, Fabian Sinz
Affiliations: Department for Neuroscience, Baylor College of Medicine, Houston, TX, USA; Center for Neuroscience and Artiﬁcial Intelligence, Baylor College of Medicine, Houston, TX, USA; Institute for Bioinformatics and Medical Informatics, University of Tübingen, Germany; Institute for Bioinformatics and Medical Informatics, University of Tübingen, Germany; Department of Computer Science, University Göttingen, Germany; Institute for Bioinformatics and Medical Informatics, University of Tübingen, Germany; Max Planck Institute for Biological Cybernetics, Tübingen, Germany
Conference: nips 2021 (main track)
Keywords: mouse visual cortex;neural system identification;latent variable models;normalizing flow;generative models;noise correlations
Decision: Spotlight
Title: Pooling by Sliced-Wasserstein Embedding
Authors: Navid Naderializadeh, Joseph F Comer, Reed Andrews, Heiko Hoffmann, Soheil Kolouri
Affiliations: Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104; HRL Laboratories, LLC., Malibu, CA 90265; Computer Science Department, Vanderbilt University, Nashville, TN 37235
Conference: nips 2021 (main track)
Keywords: Pooling;feature aggregation;permutation invariance;optimal transport;set learning;representation learning
Decision: Poster
Title: Shared Independent Component Analysis for Multi-Subject Neuroimaging
Authors: Hugo Richard, Pierre Ablin, Bertrand Thirion, Alexandre Gramfort, Aapo Hyvarinen
Affiliations: DMA, CNRS and ENS, Paris, France; Department of Computer Science, University of Helsinki, Helsinki, Finland; Inria, Université Paris-Saclay, Palaiseau, France
Conference: nips 2021 (main track)
Keywords: neuroimaging;fMRI;MEG;shared response modeling;component analysis;independent component analysis;multi-view learning
Decision: Poster
Title: Duplex Sequence-to-Sequence Learning for Reversible Machine Translation
Authors: Zaixiang Zheng, Hao Zhou, Shujian Huang, Jiajun Chen, Jingjing Xu, Lei Li
Affiliations: UC Santa Barbara and ByteDance AI Lab; National Key Laboratory for Novel Software Technology, Nanjing University; National Key Laboratory for Novel Software Technology, Nanjing University and ByteDance AI Lab; ByteDance AI Lab
Conference: nips 2021 (main track)
Keywords: duplex network;sequence-to-sequence learning;reversible machine translation
Decision: Poster
Title: SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning
Authors: Mattia Atzeni, Jasmina Bogojeska, Andreas Loukas
Affiliations: IBM Research, EPFL, Switzerland; EPFL, Switzerland; IBM Research, Switzerland
Conference: nips 2021 (main track)
Keywords: knowledge graphs;reasoning;question answering
Decision: Poster
Title: Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks
Authors: Iulia Duta, Andrei Nicolicioiu, Marius Leordeanu
Affiliations: Bitdefender, Romania; id366@cam.ac.uk; Bitdefender, Romania; Institute of Mathematics of the Romanian Academy; University 'Politehnica' of Bucharest; marius.leordeanu@imar.ro; Bitdefender, Romania; anicolicioiu@bitdefender.com
Conference: nips 2021 (main track)
Keywords: object-centric;graph neural networks;spatio-temporal
Decision: Poster
Title: A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems
Authors: Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Tong Xialiang, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng
Affiliations: Noah’s Ark Lab, Huawei; College of Intelligence and Computing, Tianjin University; Tsinghua University
Conference: nips 2021 (main track)
Keywords: Dynamic Pickup and Delivery Problem;Logistics;Reinforcement Learning
Decision: Poster
Title: Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
Authors: Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj
Affiliations: Inria, Lille - Nord Europe research centre, France; The Inria London Programme, France and UK; University College London, Department of Computer Science, Centre for Artiﬁcial Intelligence, UK; Univ Lyon, UJM-Saint-Etienne, CNRS, Institut d Optique Graduate School, Laboratoire Hubert Curien UMR 5516, F-42023, Saint-Etienne, France; Département d’informatique et de génie logiciel, Université Laval, Québec, Canada; Inria, Lille - Nord Europe research centre, France
Conference: nips 2021 (main track)
Keywords: majority vote;ensemble method;generalization bound;bound-driven algorithm;PAC-Bayes
Decision: Poster
Title: Unsupervised Learning of Compositional Energy Concepts
Authors: Yilun Du, Shuang Li, Yash Sharma, Josh Tenenbaum, Igor Mordatch
Affiliations: MIT CSAIL; MIT CSAIL, BCS, CBMM; University of Tübingen; Google Brain
Conference: nips 2021 (main track)
Keywords: Compositionality;Concept Learning;Object Discovery;Disentanglement;Representation Learning;Unsupervised Learning;Energy Based Models
Decision: Poster