hunoutl/paperlists huggingface dataset:
Title: Three million images and morphological profiles of cells treated with matched chemical and genetic perturbations
Affiliations: Merck Healthcare KGaA; Broad Institute of MIT and Harvard; Biogen, Inc.
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Image-based profiling;chemical perturbations;genetic perturbations;CRISPR;ORF;target identification;target deconvolution;representation learning
Decision: Reject
Title: Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning
Authors: Christopher Hoang, Sungryull Sohn, Jongwook Choi, Wilka Carvalho, Honglak Lee
Affiliations: University of Michigan; University of Michigan, LG AI Research
Conference: nips 2021 (main track)
Keywords: successor features;goal-conditioned RL;graph-based planning
Decision: Poster
Title: Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge
Authors: Reda Ouhamma, Odalric-Ambrym Maillard, Vianney Perchet
Affiliations: Criteo, ENSAE, ENS PARIS-SACLAY; Univ. Lille, CNRS, Inria, Centrale Lille, UMR 9189 - CRIStAL, F-59000
Conference: nips 2021 (main track)
Keywords: Online linear regression;Multi-armed bandit
Decision: Poster
Title: Residual Relaxation for Multi-view Representation Learning
Authors: Yifei Wang, Zhengyang Geng, Feng Jiang, Chuming Li, Yisen Wang, Jiansheng Yang, Zhouchen Lin
Affiliations: School of Mathematical Sciences, Peking University, China; Institute for Artiﬁcial Intelligence, Peking University, Beijing, China; Key Lab. of Machine Perception, School of Artiﬁcial Intelligence, Peking University, Beijing, China; School of Engineering, The University of Sydney, Australia
Conference: nips 2021 (main track)
Keywords: Self-supervised Learning;Representation Learning;Multi-view Learning
Decision: Poster
Title: Direct Multi-view Multi-person 3D Pose Estimation
Authors: tao wang, Jianfeng Zhang, Yujun Cai, Shuicheng Yan, Jiashi Feng
Affiliations: National University of Singapore; Sea AI Lab, National University of Singapore; Sea AI Lab
Conference: nips 2021 (main track)
Keywords: Human Pose Estimation;3D;Multi-view;Transformer;End-to-End;Direct;Camera Ray
Decision: Poster
Title: Spatio-Temporal Variational Gaussian Processes
Authors: Oliver Hamelijnck, William Wilkinson, Niki Loppi, Arno Solin, Theodoros Damoulas
Affiliations: Aalto University; NVIDIA; The Alan Turing Institute / University of Warwick
Conference: nips 2021 (main track)
Keywords: Gaussian processes;Variational Inference;Spatio-Temporal Analysis
Decision: Poster
Title: Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex
Authors: Colin Conwell, David Mayo, Andrei Barbu, Michael Buice, George Alvarez, Boris Katz
Affiliations: Department of Psychology, Harvard University; CSAIL & CBMM, MIT; Modeling, Analysis & Theory, Allen Institute MindScope Program
Conference: nips 2021 (main track)
Keywords: neuro_ai;deep neural networks;rodent visual cortex;mouse brains;optical physiology
Decision: Poster
Title: Universal Approximation Using Well-Conditioned Normalizing Flows
Authors: Holden Lee, Chirag Pabbaraju, Anish Prasad Sevekari, Andrej Risteski
Affiliations: Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213; Department of Mathematical Sciences, Carnegie Mellon University, Pittsburgh, PA 15213; Computer Science Department, Stanford University, Stanford, CA 94305; Mathematics Department, Duke University, Durham, NC 27708
Conference: nips 2021 (main track)
Keywords: Generative Models;Normalizing Flows;Universal Approximation;Langevin;Dynamical Systems;Deep Learning Theory
Decision: Poster
Title: DUE: End-to-End Document Understanding Benchmark
Affiliations: Poznan University of Technology; Applica.ai; Jagiellonian University, Krakow; Adam Mickiewicz University, Poznan
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Document Understanding;Multi-modal Models;Language Models;NLP;Multimodal Data;Key Information Extraction;Question Answering;Information Extraction;Table Comprehension;KIE;NLI;Visual QA;Layout-aware Language Models
Decision: Poster
Title: Least Square Calibration for Peer Reviews
Authors: Sijun Tan, Jibang Wu, Xiaohui Bei, Haifeng Xu
Affiliations: Department of Computer Science, University of Virginia, Charlottesville, VA 22903; School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 637371
Conference: nips 2021 (main track)
Keywords: peer review;calibration
Decision: Poster
Title: Making a (Counterfactual) Difference One Rationale at a Time
Authors: Mitchell Plyler, Michael Green, Min Chi
Affiliations: Laboratory for Analytic Sciences, North Carolina State University; Department of Computer Science, North Carolina State University
Conference: nips 2021 (main track)
Keywords: interpretability;rationales;counterfactual;data augmentation;natural language processing;information theory
Decision: Poster
Title: Optimal Order Simple Regret for Gaussian Process Bandits
Authors: Sattar Vakili, Nacime Bouziani, Sepehr Jalali, Alberto Bernacchia, Da-shan Shiu
Affiliations: MediaTek Research; Imperial College London
Conference: nips 2021 (main track)
Keywords: Gaussian Process Bandit;Confidence Intervals;RKHS;Optimal Order Simple Regret
Decision: Poster
Title: $\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression
Authors: JIABO HE, Sarah Erfani, Xingjun Ma, James Bailey, Ying Chi, Xian-Sheng Hua
Affiliations: School of Computing and Information Systems, The University of Melbourne; School of Computer Science, Fudan University; DAMO Academy, Alibaba Group
Conference: nips 2021 (main track)
Keywords: bounding box regression;localization loss;object detection;intersection over union
Decision: Poster
Title: ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions
Authors: Luigi Carratino, Stefano Vigogna, Daniele Calandriello, Lorenzo Rosasco
Affiliations: MaLGa - DIBRIS, University of Genova, IIT, CBMM - MIT; DeepMind Paris; MaLGa - DIBRIS, University of Genova
Conference: nips 2021 (main track)
Keywords: Large-scale kernel methods;kernel ridge regression;random projections;partitions
Decision: Poster
Title: Probabilistic Margins for Instance Reweighting in Adversarial Training
Authors: qizhou wang, Feng Liu, Bo Han, Tongliang Liu, Chen Gong, Gang Niu, Mingyuan Zhou, Masashi Sugiyama
Affiliations: TML Lab, School of Computer Science, Faculty of Engineering, The University of Sydney; McCombs School of Business, The University of Texas at Austin; RIKEN Center for Advanced Intelligence Project (AIP); PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of MoE, Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology; Department of Computer Science, Hong Kong Baptist University; DeSI Lab, Australian Artiﬁcial Intelligence Institute, University of Technology Sydney; RIKEN Center for Advanced Intelligence Project (AIP), Graduate School of Frontier Sciences, The University of Tokyo
Conference: nips 2021 (main track)
Keywords: Adversarial robustness
Decision: Poster
Title: Multiple Descent: Design Your Own Generalization Curve
Authors: Lin Chen, Yifei Min, Mikhail Belkin, Amin Karbasi
Affiliations: School of Engineering and Applied Science, Yale University, CT 06511; Halıcıoğlu Data Science Institute, University of California, San Diego, CA 92093; Department of Statistics and Data Science, Yale University, CT 06511; Simons Institute for the Theory of Computing, University of California, Berkeley, CA 94720
Conference: nips 2021 (main track)
Keywords: generalization;double descent;multiple descent
Decision: Poster
Title: Progressive Feature Interaction Search for Deep Sparse Network
Authors: Chen Gao, Yinfeng Li, Quanming Yao, Depeng Jin, Yong Li
Affiliations: Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Tsinghua University
Conference: nips 2021 (main track)
Keywords: Deep Sparse Network;Neural Architecture Search;Automated Machine Learning
Decision: Poster
Title: SOFT: Softmax-free Transformer with Linear Complexity
Authors: Jiachen Lu, Jinghan Yao, Junge Zhang, Xiatian Zhu, Hang Xu, Weiguo Gao, Chunjing XU, Tao Xiang, Li Zhang
Affiliations: Huawei Noah’s Ark Lab; University of Surrey; Fudan University
Conference: nips 2021 (main track)
Keywords: Transformer
Decision: Spotlight
Title: Charting and Navigating the Space of Solutions for Recurrent Neural Networks
Authors: Elia Turner, Kabir V Dabholkar, Omri Barak
Affiliations: Department of Mathematics, Technion, Israel Institute of Technology; Rappaport Faculty of Medicine and Network Biology Research Laboratory, Technion, Israel Institute of Technology
Conference: nips 2021 (main track)
Keywords: RNN;underspecification;variability;space of solutions;neuroscience;reverse engineering;task optimized networks
Decision: Poster
Title: Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions
Authors: Alejandro Carderera, Mathieu Besançon, Sebastian Pokutta
Affiliations: Zuse Institute Berlin and Technische Universität Berlin; Zuse Institute Berlin; Georgia Institute of Technology
Conference: nips 2021 (main track)
Keywords: Convex Optimization;Machine Learning
Decision: Poster
Title: Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models
Authors: Phil Chen, Masha Itkina, Ransalu Senanayake, Mykel J Kochenderfer
Affiliations: Stanford University
Conference: nips 2021 (main track)
Keywords: Deep Learning or Neural Networks;Sparsity and Feature Selection;Variational Inference;(Application) Natural Language and Text Processing
Decision: Poster
Title: Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery
Authors: Ramesha Rakesh Mugaludi, Jogendra Nath Kundu, Varun Jampani, Venkatesh Babu R
Affiliations: Indian Institute of Science, Bangalore; Google Research
Conference: nips 2021 (main track)
Keywords: 3D Human pose estimation;Human mesh recovery;3D from Single Images;Domain adaptation;Silhouette topology extraction
Decision: Poster
Title: Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction
Authors: Dominik Stöger, Mahdi Soltanolkotabi
Affiliations: University of Southern California, Los Angeles, CA 90089; Katholische Universität Eichstätt-Ingolstadt, 85072 Eichstätt, Germany
Conference: nips 2021 (main track)
Keywords: low-rank matrix recovery;overparameterized learning;non-convex optimization
Decision: Poster
Title: On Joint Learning for Solving Placement and Routing in Chip Design
Authors: Ruoyu Cheng, Junchi Yan
Affiliations: Department of Computer Science and Engineering, MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China, 200240
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Combinatorial Optimization
Decision: Poster
Title: PLUGIn: A simple algorithm for inverting generative models with recovery guarantees
Authors: Babhru Joshi, Xiaowei Li, Yaniv Plan, Ozgur Yilmaz
Affiliations: Department of Mathematics, The University of British Columbia
Conference: nips 2021 (main track)
Keywords: generative neural network;inverse problem;denoise;gradient type method;non-convex optimization
Decision: Spotlight
Title: Optimal Sketching for Trace Estimation
Authors: Shuli Jiang, Hai Pham, David Woodruff, Richard Zhang
Affiliations: Robotics Institute, Carnegie Mellon University; Language Technologies Institute, Carnegie Mellon University; Google Brain; Computer Science Department, Carnegie Mellon University
Conference: nips 2021 (main track)
Keywords: Trace estimation;Query complexity;Sketching algorithms
Decision: Spotlight
Title: Optimizing Reusable Knowledge for Continual Learning via Metalearning
Authors: Julio Hurtado, Alain Raymond, Alvaro Soto
Affiliations: Department of Computer Science, Pontiﬁcia Universidad Católica de Chile
Conference: nips 2021 (main track)
Keywords: Continual Learning;Meta-learning;Knowledge transfer;Catastrophic forgetting
Decision: Poster
Title: Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
Affiliations: College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China; School of Computer Science and Engineering, Nanyang Technological University, Singapore
Conference: nips 2021 (main track)
Keywords: noisy labels;weakly supervised learning;open-set noisy labels;Out-of-Distribution detection;deep learning
Decision: Poster
Title: Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization
Authors: Arnab Maiti, Vishakha Patil, Arindam Khan
Affiliations: Indian Institute of Science, Bangalore, India; Indian Institute of Technology, Kharagpur, India
Conference: nips 2021 (main track)
Keywords: Multi-Armed Bandits;Bounded Arm-Memory;Best-Arm Identification;Regret Minimization;KL-Divergence;Hoeffding's Inequality
Decision: Poster
Title: Global Convergence of Gradient Descent for Asymmetric Low-Rank Matrix Factorization
Authors: Tian Ye, Simon Du
Affiliations: Institute for Interdisciplinary Information Sciences, Tsinghua University; Paul G. Allen School of Computer Science and Engineering, University of Washington
Conference: nips 2021 (main track)
Keywords: non-convex optimization;theory;global convergence;random initialization
Decision: Poster
Title: Calibration and Consistency of Adversarial Surrogate Losses
Authors: Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong
Affiliations: Google Research, New York, NY 10011; Courant Institute, New York, NY 10012; Google Research & Courant Institute, New York, NY 10011
Conference: nips 2021 (main track)
Keywords: Adversarial Robustness;Learning Theory;Consistency;Calibration;Statistical learning;Classification.
Decision: Spotlight
Title: Collaborative Uncertainty in Multi-Agent Trajectory Forecasting
Authors: Bohan Tang, Yiqi Zhong, Ulrich Neumann, Gang Wang, Siheng Chen, Ya Zhang
Affiliations: Beijing Institute of Technology; Shanghai Jiao Tong University; University of Southern California
Conference: nips 2021 (main track)
Keywords: Multi-agent Trajectory Forecasting;Uncertainty Analysis;Interaction Modeling;Deep Learning
Decision: Poster
Title: Antipodes of Label Differential Privacy: PATE and ALIBI
Authors: Mani Malek Esmaeili, Ilya Mironov, Karthik Prasad, Igor Shilov, Florian Tramer
Affiliations: Facebook AI; Stanford University
Conference: nips 2021 (main track)
Keywords: differential privacy;label differential privacy;PATE;ALIBI;memorization attacks
Decision: Poster
Title: Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning
Authors: Chongjian GE, Youwei Liang, YIBING SONG, Jianbo Jiao, Jue Wang, Ping Luo
Affiliations: The University of Hong Kong; University of Oxford; Tencent AI Lab
Conference: nips 2021 (main track)
Keywords: Self-Supervised Visual Representation Learning;Vision Transformers
Decision: Poster
Title: On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
Authors: Tim G. J. Rudner, Cong Lu, Michael A Osborne, Yarin Gal, Yee Teh
Affiliations: University of Oxford
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Expert Demonstrations;Behavioral Cloning;Gaussian processes;Uncertainty Quantification
Decision: Poster
Title: A PAC-Bayes Analysis of Adversarial Robustness
Authors: Paul Viallard, Eric Guillaume VIDOT, Amaury Habrard, Emilie Morvant
Affiliations: Univ Lyon, UJM-Saint-Etienne, CNRS, Institut d Optique Graduate School, Laboratoire Hubert Curien UMR 5516, F-42023, SAINT-ETIENNE, France; Airbus Opération S.A.S, University of Toulouse, Institut de Recherche en Informatique de Toulouse, France
Conference: nips 2021 (main track)
Keywords: Adversarial Robustness;PAC-Bayesian;Generalization Bound
Decision: Poster
Title: Multi-modal Dependency Tree for Video Captioning
Authors: Wentian Zhao, Xinxiao Wu, Jiebo Luo
Affiliations: Department of Computer Science, University of Rochester, Rochester, NY 14627 USA; Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, No. 5, Zhongguancun South Street, Beijing, China
Conference: nips 2021 (main track)
Keywords: video captioning;tree-structured decoding
Decision: Poster
Title: VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media
Authors: Yizhou Zhang, Karishma Sharma, Yan Liu
Affiliations: Department of Computer Science, Viterbi School of Engineering, University of Southern California
Conference: nips 2021 (main track)
Keywords: Coordinated Influence Campaigns;Disinformation;Social Media;Fake News;Temporal Point Process;Variational Inference
Decision: Poster
Title: Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs
Authors: Jinwoo Kim, Saeyoon Oh, Seunghoon Hong
Affiliations: School of Computing, KAIST
Conference: nips 2021 (main track)
Keywords: transformer;graph;hypergraph;self-attention;graph transformer;kernel attention;graph regression;graph prediction;hyperedge prediction;graph neural network
Decision: Poster
Title: On the Suboptimality of Thompson Sampling in High Dimensions
Authors: Raymond Zhang, Richard Combes
Affiliations: ENS Paris Saclay, Département de Mathématiques, Gif-sur-Yvette, France; Centrale-Supelec, Laboratoire des Signaux et Systèmes (L2S), Gif-sur-Yvette, France
Conference: nips 2021 (main track)
Keywords: Combinatorial Bandits;Thompson sampling
Decision: Poster
Title: Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation
Authors: Florian Bernard, Daniel Cremers, Johan Thunberg
Affiliations: TU Munich; Halmstad University; TU Munich, University of Bonn
Conference: nips 2021 (main track)
Keywords: Stiefel manifold;quadratic optimisation;permutation synchronisation;sparsity;multi-matching;correspondence problems;manifold optimisation;QR decomposition;orthogonal iteration algorithm
Decision: Poster
Title: Fuzzy Clustering with Similarity Queries
Authors: Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal
Affiliations: College of Information & Computer Sciences, University of Massachusetts Amherst, Amherst, MA 01003; Halıcıoğlu Data Science Institute, University of California, San Diego, La Jolla, CA 92093; Department of Electrical Engineering, Tel Aviv University, Tel Aviv 6997801, Israel
Conference: nips 2021 (main track)
Keywords: Fuzzy clustering;oracle;similarity queries;k-means;soft clustering.
Decision: Poster
Title: Revisiting Smoothed Online Learning
Authors: Lijun Zhang, Wei Jiang, Shiyin Lu, Tianbao Yang
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China; Peng Cheng Laboratory, Shenzhen, Guangdong, China; National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China; Department of Computer Science, The University of Iowa, Iowa City, IA 52242, USA
Conference: nips 2021 (main track)
Keywords: Smoothed online learning;competitive ratio;dynamic regret with switching cost;polyhedral functions;quadratic growth functions
Decision: Poster
Title: Re-ranking for image retrieval and transductive few-shot classification
Authors: Xi SHEN, Yang Xiao, Shell Xu Hu, Othman Sbai, Mathieu Aubry
Affiliations: LIGM (UMR 8049), École des Ponts ParisTech; Samsung AI Center, Cambridge
Conference: nips 2021 (main track)
Keywords: meta-learning;few-shot classification;synthetic gradient;image retrieval
Decision: Poster
Title: Generative vs. Discriminative: Rethinking The Meta-Continual Learning
Authors: Mohammadamin Banayeeanzade, Rasoul Mirzaiezadeh, Hosein Hasani, Mahdieh Soleymani
Affiliations: Department of Computer Engineering, Sharif University of Technology
Conference: nips 2021 (main track)
Keywords: Continual Learning;Meta-Learning;Meta-Continual Learning;Generative Classifier;Bayesian Classifier;Neuro-Inspired Artificial Intelligence
Decision: Poster
Title: Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
Authors: Liming Jiang, Bo Dai, Wayne Wu, Chen Change Loy
Affiliations: S-Lab, Nanyang Technological University; SenseTime Research
Conference: nips 2021 (main track)
Keywords: image and video synthesis;generative adversarial networks;limited data;discriminator overfitting
Decision: Poster
Title: Learning Student-Friendly Teacher Networks for Knowledge Distillation
Authors: Dae Young Park, Moon-Hyun Cha, changwook jeong, Daesin Kim, Bohyung Han
Affiliations: ECE & ASRI, Seoul National University, Korea; DIT Center, Samsung Electronics, Korea
Conference: nips 2021 (main track)
Keywords: deep learning;transfer learning;knowledge distillation
Decision: Poster
Title: Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions
Authors: Jiachen Sun, Yulong Cao, Christopher B Choy, Zhiding Yu, Anima Anandkumar, Zhuoqing Morley Mao, Chaowei Xiao
Affiliations: ASU; NVIDIA; Caltech; University of Michigan
Conference: nips 2021 (main track)
Keywords: Adversarial Training;Point Cloud Recognition;Self-supervised Learning
Decision: Poster
Title: Learning Generalized Gumbel-max Causal Mechanisms
Authors: Guy Lorberbom, Daniel D. Johnson, Chris Maddison, Daniel Tarlow, Tamir Hazan
Affiliations: Google Research, Montreal, QC, Canada; Technion, Haifa, Israel; Google Research, Toronto, ON, Canada; University of Toronto & Vector Institute, Toronto, ON, Canada
Conference: nips 2021 (main track)
Keywords: Gumbel max;reparameterization trick;structural causal model
Decision: Spotlight
Title: Large-Scale Learning with Fourier Features and Tensor Decompositions
Authors: Frederiek Wesel, Kim Batselier
Affiliations: Delft Center for Systems and Control, Delft University of Technology
Conference: nips 2021 (main track)
Keywords: Fourier Features;Kernel Methods;Kernel Machines;Tensors;Tensor Decomposition;Tensor Networks;Kernel Ridge Regression;Gaussian Process Regression;Least-Squares Support Vector Machine
Decision: Poster
Title: DRONE: Data-aware Low-rank Compression for Large NLP Models
Authors: Patrick Chen, Hsiang-Fu Yu, Inderjit Dhillon, Cho-Jui Hsieh
Affiliations: UCLA & Amazon, Los Angeles, CA; UT Austin & Amazon, Palo Alto, CA; UCLA, Los Angeles, CA; Amazon, Palo Alto, CA
Conference: nips 2021 (main track)
Keywords: Acceleration;low-rank
Decision: Poster
Title: Network-to-Network Regularization: Enforcing Occam's Razor to Improve Generalization
Authors: Rohan Ghosh, Mehul Motani
Affiliations: Department of Electrical and Computer Engineering, N.1 Institute for Health, Institute of Data Science, National University of Singapore
Conference: nips 2021 (main track)
Keywords: Generalization;Deep Learning;Complexity;Label Noise
Decision: Poster
Title: Relative Flatness and Generalization
Authors: Henning Petzka, Michael Kamp, Linara Adilova, Cristian Sminchisescu, Mario Boley
Affiliations: CISPA Helmholtz Center for Information Security, Germany and Monash University, Australia; Lund University, Sweden; Ruhr University Bochum, Germany and Fraunhofer IAIS; Monash University, Australia; Lund University, Sweden and Google Research, Switzerland
Conference: nips 2021 (main track)
Keywords: Flatness;generalization;interpolation
Decision: Poster
Title: Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent
Authors: Priyank Jaini, Lars Holdijk, Max Welling
Affiliations: Bosch-Delta Lab, University of Amsterdam
Conference: nips 2021 (main track)
Keywords: Energy Based Models;Equivariance;Equivariant Sampling;Stein Variational Gradient Descent;Unsupervised Learning;Self-Supervised Learning
Decision: Poster
Title: Learning in Non-Cooperative Configurable Markov Decision Processes
Authors: Giorgia Ramponi, Alberto Maria Metelli, Alessandro Concetti, Marcello Restelli
Affiliations: Politecnico di Milano, Milan, Italy; ETH AI Center, Zurich, Switzerland
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Configurable MDP;Multi-agent learning
Decision: Poster