hunoutl/paperlists huggingface dataset:
Title: MsSVT: Mixed-scale Sparse Voxel Transformer for 3D Object Detection on Point Clouds
Authors: Shaocong Dong, lihe Ding, Haiyang Wang, Tingfa Xu, Xinli Xu, Jie Wang, Ziyang Bian, Ying Wang, Jianan Li
Affiliations: Peking University; Beijing Institute of Technology
Conference: nips 2022 (main track)
Decision: Poster
Title: DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing
Authors: Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang
Affiliations: Hong Kong University of Science and Technology (Guangzhou); Hong Kong University of Science and Technology
Conference: nips 2022 (main track)
Keywords: Federated Learning;non-IID problem;client dropouts;privacy-preserving learning;Lagrange coded computing
Decision: Poster
Title: Phase transitions in when feedback is useful
Authors: Lokesh Boominathan, Xaq Pitkow
Affiliations: Dept. of Neuroscience, Dept. of ECE, Baylor College of Medicine, Rice University, Houston, TX 77005; Department of ECE, Rice University, Houston, TX 77005
Conference: nips 2022 (main track)
Keywords: Bayesian Inference;Predictive Coding;Efficient Coding;Linear Quadratic Gaussian
Decision: Poster
Title: MCVD - Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation
Authors: Vikram Voleti, Alexia Jolicoeur-Martineau, Chris Pal
Affiliations: Mila, Polytechnique Montreal, Canada CIFAR AI Chair, ServiceNow Research; Mila, University of Montreal, Canada
Conference: nips 2022 (main track)
Keywords: score-based denoising diffusion;video prediction;video generation;video interpolation
Decision: Poster
Title: KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation
Authors: Ta-Chung Chi, Ting-Han Fan, Peter J Ramadge, Alexander Rudnicky
Affiliations: Princeton University; Carnegie Mellon University
Conference: nips 2022 (main track)
Keywords: Transformer Language Modeling;Length Extrapolation;Kernel Method
Decision: Poster
Title: Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm
Authors: Ashish K Jayant, Shalabh Bhatnagar
Affiliations: Department of Computer Science Automation, Indian Institute of Science, Bangalore
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;Safe Reinforcement Learning;Model-based Safe Reinforcement Learning
Decision: Poster
Title: Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap
Authors: Luca Pesce, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
Affiliations: École Polytechnique Fédérale de Lausanne (EPFL), Information, Learning and Physics lab.; École Polytechnique Fédérale de Lausanne (EPFL), Statistical Physics of Computation lab.
Conference: nips 2022 (main track)
Keywords: Replica method;Approximate Message Passing;Statistical Physics;Statistical-to-Computational Gap
Decision: Poster
Title: MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples
Authors: Jinyuan Jia, Wenjie Qu, Neil Gong
Affiliations: University of Illinois Urbana-Champaign; Duke University; Huazhong University of Science and Technology
Conference: nips 2022 (main track)
Keywords: Adversarial examples;multi-label classification;certified defense
Decision: Poster
Title: Self-Organized Group for Cooperative Multi-agent Reinforcement Learning
Authors: Jianzhun Shao, Zhiqiang Lou, Hongchang Zhang, Yuhang Jiang, Shuncheng He, Xiangyang Ji
Affiliations: Department of Automation, Tsinghua University, Beijing, China
Conference: nips 2022 (main track)
Keywords: multi-agent reinforcement learning
Decision: Poster
Title: Exploring the Latent Space of Autoencoders with Interventional Assays
Authors: Felix Leeb, Stefan Bauer, Michel Besserve, Bernhard Schölkopf
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany
Conference: nips 2022 (main track)
Keywords: Autoencoders;Interventions;Structured Representation;Manifold Learning
Decision: Poster
Title: DDXPlus: A New Dataset For Automatic Medical Diagnosis
Authors: Arsene Fansi Tchango, Rishab Goel, Zhi Wen, Julien Martel, Joumana Ghosn
Affiliations: rgoel0112@gmail.com; Mila-Quebec AI Institute; julien@datadoc.ca
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Automatic Diagnosis;Automatic Symptom Detection;Differential Diagnosis;Synthetic Patients
Decision: Poster
Title: Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers
Authors: Saikiran Bulusu, Geethu Joseph, M. Cenk Gursoy, Pramod Varshney
Affiliations: Faculty of EEMCS, Delft University of Technology, 2628 XE Delft, The Netherlands; Department of EECS, Syracuse University, Syracuse, NY 13244
Conference: nips 2022 (main track)
Keywords: Learning distribution;ReLU;Truncated Gaussian;Unsupervised learning
Decision: Poster
Title: Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks
Authors: Hongjoon Ahn, Yongyi Yang, Quan Gan, Taesup Moon, David P Wipf
Affiliations: Amazon Web Services; University of Michigan; ECE/IPAI/ASRI/INMC, Seoul National University
Conference: nips 2022 (main track)
Keywords: heterogeneous graph neural networks;bilevel optimization;unfolded optimization
Decision: Poster
Title: Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions
Authors: Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman
Affiliations: MIT EECS; Arena Technologies; MIT IDSS; Yahoo! Research; Stanford EE
Conference: nips 2022 (main track)
Keywords: Online learning;bandit;first-price auction
Decision: Poster
Title: CoNSoLe: Convex Neural Symbolic Learning
Authors: Haoran Li, Yang Weng, Hanghang Tong
Affiliations: Arizona State University, Tempe, AZ, 85287; University of Illinois Urbana-Champaign, Champaign, IL, 61820
Conference: nips 2022 (main track)
Keywords: Symbolic Regression;Physical Equations;Neural Networks;Convex Guarantees;Deep Q Learning
Decision: Poster
Title: Globally Gated Deep Linear Networks
Authors: Qianyi Li, Haim Sompolinsky
Affiliations: Biophysics Graduate Program, Harvard University; Center for Brain Science, Harvard University; Edmond and Lily Safra Center for Brain Sciences, Hebrew University
Conference: nips 2022 (main track)
Keywords: Neural Network Architectures;Kernel Methods;Deep Learning Theory;Gaussian Processes;Finite Width Networks;Gated Linear Networks
Decision: Poster
Title: Cluster Randomized Designs for One-Sided Bipartite Experiments
Authors: Jennifer Brennan, Vahab Mirrokni, Jean Pouget-Abadie
Affiliations: Google Research, New York, NY 10011; Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA 98195
Conference: nips 2022 (main track)
Keywords: causal inference;network interference;marketplace experiments
Decision: Poster
Title: Vision GNN: An Image is Worth Graph of Nodes
Authors: Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu
Affiliations: Peking University; Huawei Noah’s Ark Lab; State Key Lab of Computer Science, ISCAS & UCAS; University of Macau
Conference: nips 2022 (main track)
Decision: Poster
Title: On Elimination Strategies for Bandit Fixed-Confidence Identification
Authors: Andrea Tirinzoni, Rémy Degenne
Affiliations: Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France; Meta AI, Paris, France
Conference: nips 2022 (main track)
Decision: Poster
Title: Random Sharpness-Aware Minimization
Authors: Yong Liu, Siqi Mai, Minhao Cheng, Xiangning Chen, Cho-Jui Hsieh, Yang You
Affiliations: Department of Computer Science, University of California, Los Angeles; Department of Computer Science, National University of Singapore; Department of Computer Science and Engineering, HKUST; HPC-AI Technology Inc.
Conference: nips 2022 (main track)
Keywords: Sharpness-Aware Minimization;Generalization;Adversarial Training
Decision: Poster
Title: Robust Imitation via Mirror Descent Inverse Reinforcement Learning
Authors: Dong-Sig Han, Hyunseo Kim, Hyundo Lee, JeHwan Ryu, Byoung-Tak Zhang
Affiliations: Artificial Intelligence Institute, Seoul National University
Conference: nips 2022 (main track)
Keywords: inverse reinforcement learning;regularized Markov decision processes;imitation learning;learning theory
Decision: Poster
Title: Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation
Authors: Yixiong Zou, Shanghang Zhang, Yuhua Li, Ruixuan Li
Affiliations: School of Computer Science and Technology, Huazhong University of Science and Technology; School of Computer Science, Peking University
Conference: nips 2022 (main track)
Keywords: Few-shot class-incremental learning;Class-level overfitting;Margin-based classification
Decision: Poster
Title: If Influence Functions are the Answer, Then What is the Question?
Authors: Juhan Bae, Nathan Ng, Alston Lo, Marzyeh Ghassemi, Roger Grosse
Affiliations: Massachusetts Institute of Technology; University of Toronto, Vector Institute, Massachusetts Institute of Technology; University of Toronto, Vector Institute
Conference: nips 2022 (main track)
Keywords: Influence Function;Interpretability
Decision: Poster
Title: Does Momentum Change the Implicit Regularization on Separable Data?
Authors: Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
Affiliations: Microsoft Research Asia; University of Science & Technology of China; Chinese Academy of Sciences; The Chinese University of Hong Kong, Shenzhen, China
Conference: nips 2022 (main track)
Keywords: Implicit Regularization;Momentum-based Optimizers;Optimization
Decision: Poster
Title: Semi-supervised Active Linear Regression
Authors: Nived Rajaraman, Fnu Devvrit, Pranjal Awasthi
Affiliations: Department of Computer Science, University of Texas at Austin; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley; Google Research & Department of Computer Science, Rutgers University
Conference: nips 2022 (main track)
Keywords: Active Learning;Semi-supervised Learning;Ridge Regression;Kernel Ridge Regression
Decision: Poster
Title: Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class
Authors: Khoa D Doan, Yingjie Lao, Ping Li
Affiliations: LinkedIn Ads, 700 Bellevue Way NE, Bellevue, WA 98004, USA; College of Engineering and Computer Science, VinUniversity; Electrical and Computer Engineering, Clemson University, USA
Conference: nips 2022 (main track)
Keywords: arbitrary trigger;backdoor attacks;generative models
Decision: Poster
Title: Iterative Scene Graph Generation
Authors: Siddhesh Khandelwal, Leonid Sigal
Affiliations: Department of Computer Science, University of British Columbia; Vector Institute for AI; CIFAR AI Chair; Department of Computer Science, University of British Columbia; Vector Institute for AI
Conference: nips 2022 (main track)
Keywords: Scene Graphs;Object Detection;Transformer Networks;Image Understanding
Decision: Poster
Title: MBW: Multi-view Bootstrapping in the Wild
Authors: Mosam Dabhi, Chaoyang Wang, Tim Clifford, László Jeni, Ian Fasel, Simon Lucey
Affiliations: The University of Adelaide; Carnegie Mellon University; Apple
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Auto labeling;Multi-view 2D-3D;Keypoint Detection;Self-supervision
Decision: Poster
Title: Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations
Authors: Alexander Immer, Tycho van der Ouderaa, Gunnar Rätsch, Vincent Fortuin, Mark van der Wilk
Affiliations: Department of Computing, Imperial College London, UK; Department of Computer Science, ETH Zurich, Switzerland; Department of Computer Science, ETH Zurich, Switzerland; Department of Engineering, University of Cambridge, UK; Department of Computer Science, ETH Zurich, Switzerland; Max Planck Institute for Intelligent Systems, Tübingen, Germany
Conference: nips 2022 (main track)
Keywords: Bayesian deep learning;Laplace approximation;invariance learning;Bayesian model selection
Decision: Poster
Title: Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning
Authors: Qihua ZHOU, Song Guo, YI LIU, Jie ZHANG, Jiewei Zhang, Tao GUO, Zhenda XU, Xun Liu, Zhihao Qu
Affiliations: School of Computer and Information, Hohai University; Department of Computing, The Hong Kong Polytechnic University
Conference: nips 2022 (main track)
Keywords: Collaborative Learning;Feature Encoding;Traffic Saving
Decision: Poster
Title: Continual Learning with Evolving Class Ontologies
Authors: Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong
Affiliations: Texas A&M University; CMU; UIUC
Conference: nips 2022 (main track)
Keywords: Computer Vision;Machine Learning;Lifelong Learning;Visual Recognition;Continual Learning;Semi-Supervised Learning
Decision: Poster
Title: Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams
Authors: Sergey Denisov, H. Brendan McMahan, John Rush, Adam Smith, Abhradeep Guha Thakurta
Affiliations: University of Wisconsin-Madison; Boston University; Google Research
Conference: nips 2022 (main track)
Keywords: federated learning;differential privacy;adaptive streams;machine learning;matrix mechanism;matrix factorization
Decision: Poster
Title: TaiSu: A 166M Large-scale High-Quality Dataset for Chinese Vision-Language Pre-training
Authors: Yulong Liu, Guibo Zhu, Bin Zhu, Qi Song, Guojing Ge, Haoran Chen, GuanHui Qiao, Ru Peng, Lingxiang Wu, Jinqiao Wang
Affiliations: Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China; Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China; School of Artificial Intelligence, Beijing Normal University, Beijing, China
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Vision-Language Pretraining;Multi-modality;Dataset
Decision: Poster
Title: An empirical analysis of compute-optimal large language model training
Authors: Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Thomas Hennigan, Eric Noland, Katherine Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karén Simonyan, Erich Elsen, Oriol Vinyals, Jack Rae, Laurent Sifre
Affiliations: DeepMind
Conference: nips 2022 (main track)
Keywords: NLP;Deep Learning;Large Language Models
Decision: Highlighted
Title: Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping
Authors: Hao Sun, Lei Han, Rui Yang, Xiaoteng Ma, Jian Guo, Bolei Zhou
Affiliations: University of California, Los Angeles; Tencent RoboticsX; Hong Kong University of Science and Technology; Tsinghua University; University of Cambridge; IDEA
Conference: nips 2022 (main track)
Keywords: Reward Shifting;Value-Based Deep RL;Reward Shaping;Conservative Exploitation;Optimistic Exploration;Curiosity-Driven Exploration;Online RL;Offline RL
Decision: Poster
Title: Learning Active Camera for Multi-Object Navigation
Authors: Peihao Chen, Dongyu Ji, Kunyang Lin, Weiwen Hu, Wenbing Huang, Thomas Li, Mingkui Tan, Chuang Gan
Affiliations: South China University of Technology; MIT-IBM Watson AI Lab, UMass Amherst; Gaoling School of Artificial Intelligence, Renmin University of China; Information Technology R&D Innovation Center of Peking University; South China University of Technology, Pazhou Laboratory; South China University of Technology, Key Laboratory of Big Data and Intelligent Robot, Ministry of Education
Conference: nips 2022 (main track)
Keywords: Multi-object navigation;Visual indoor navigation;Active perception
Decision: Poster
Title: CUP: Critic-Guided Policy Reuse
Authors: Jin Zhang, Siyuan Li, Chongjie Zhang
Affiliations: Institute for Interdisciplinary Information Sciences, Tsinghua University, China; School of Computer Science and Technology, Harbin Institute of Technology, China
Conference: nips 2022 (main track)
Keywords: reinforcement learning;policy reuse;transfer learning
Decision: Poster
Title: SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections
Authors: Mark Boss, Andreas Engelhardt, Abhishek Kar, Yuanzhen Li, Deqing Sun, Jonathan Barron, Hendrik PA Lensch, Varun Jampani
Affiliations: Google; University of Tübingen
Conference: nips 2022 (main track)
Keywords: inverse rendering;reflectance decomposition;illumination estimation;pose estimation;neural fields
Decision: Poster
Title: STNDT: Modeling Neural Population Activity with Spatiotemporal Transformers
Authors: Trung Le, Eli Shlizerman
Affiliations: University of Washington, Seattle, WA
Conference: nips 2022 (main track)
Keywords: neuroscience;systems neuroscience;computational neuroscience;neural population dynamics;brain-computer interfaces;neuroprosthetics;electrophysiology;neural coding;transformers
Decision: Poster
Title: Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize
Authors: Xinyi Hu, Jasper Lee, Jimmy Lee, Allen Z. Zhong
Affiliations: Department of Computer Sciences & Institute for Foundations of Data Science, University of Wisconsin–Madison, WI, USA; Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong
Conference: nips 2022 (main track)
Decision: Poster
Title: MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning
Authors: Jiexi Yan, Erkun Yang, Cheng Deng, Heng Huang
Affiliations: School of Electronic Engineering, Xidian University, Xi’an 710071, China; School of Computer Science and Technology, Xidian University, Xi’an 710071, China; Electrical and Computer Engineering, University of Pittsburgh, PA 15261, USA
Conference: nips 2022 (main track)
Decision: Poster
Title: A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits
Authors: Ilija Bogunovic, Zihan Li, Andreas Krause, Jonathan Scarlett
Affiliations: ETH Zürich; National University of Singapore; University College London
Conference: nips 2022 (main track)
Keywords: Bandit optimization;corruption-tolerant;Gaussian process;kernelized bandits
Decision: Poster
Title: Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
Authors: Lin Chen, Zhixiang Wei, Xin Jin, Huaian Chen, Miao Zheng, Kai Chen, Yi Jin
Affiliations: University of Science and Technology of China; Eastern Institute for Advanced Study; Shanghai AI Laboratory
Conference: nips 2022 (main track)
Keywords: domain adaptive semantic segmentation;domain bridging;data mixing
Decision: Poster
Title: Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative
Authors: Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
Affiliations: University of Illinois Urbana-Champaign; Texas A&M University; University of Texas at Austin
Conference: nips 2022 (main track)
Keywords: hypergraph contrastive learning;generative augmentation
Decision: Poster
Title: $\alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay
Authors: Kumar K Agrawal, Arnab Kumar Mondal, Arna Ghosh, Blake Richards
Affiliations: Mila, Montreal Neurological Institute & McGill University, Montréal, QC, Canada; Learning in Machines and Brains Program, CIFAR, Toronto, ON, Canada; UC Berkeley, CA, USA; Mila & McGill University, Montréal, QC, Canada
Conference: nips 2022 (main track)
Keywords: Representation analysis;Representation learning;Self Supervised Learning;Eigenspectrum;Overparameterized Linear regression;Computer vision;Model Selection
Decision: Poster
Title: Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
Authors: Peng Jin, Jinfa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David Clifton, Jie Chen
Conference: nips 2022 (main track)
Keywords: Expectation-Maximization algorithm;contrastive learning;video-and-language representation learning;cross-modal retrieval
Decision: Poster
Title: Generalization for multiclass classification with overparameterized linear models
Authors: Vignesh Subramanian, Rahul Arya, Anant Sahai
Affiliations: Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA-94720, USA
Conference: nips 2022 (main track)
Keywords: overparameterized;multiclass;classification;theory;generalization;interpolation;bi-level;Gaussian model
Decision: Poster
Title: In the Eye of the Beholder: Robust Prediction with Causal User Modeling
Authors: Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld
Affiliations: Technion; Johns Hopkins University; Columbia University
Conference: nips 2022 (main track)
Keywords: Behavioral User Modeling;Bounded Rationality;Robust Prediction;Causal Representation Learning
Decision: Poster
Title: Long Range Graph Benchmark
Authors: Vijay Prakash Dwivedi, Ladislav Rampášek, Michael Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini
Affiliations: NJIT, Mila, Université de Montréal; Valence Discovery, Mila, Université de Montréal; Mila, McGill University; Mila, Université de Montréal; Nanyang Technological University, Singapore
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: graph learning benchmark;long range dependencies;graph transformers;graph datasets;graph neural networks
Decision: Poster
Title: A Transformer-Based Object Detector with Coarse-Fine Crossing Representations
Authors: Zhishan Li, Ying Nie, Kai Han, Jianyuan Guo, Lei Xie, Yunhe Wang
Affiliations: College of Control Science and Engineering, Zhejiang University; Huawei Noah’s Ark Lab
Conference: nips 2022 (main track)
Decision: Poster
Title: Single Model Uncertainty Estimation via Stochastic Data Centering
Authors: Jayaraman Thiagarajan, Rushil Anirudh, Vivek Sivaraman Narayanaswamy, Timo Bremer
Affiliations: Lawrence Livermore National Laboratory; Arizona State University
Conference: nips 2022 (main track)
Keywords: uncertainty quantification;calibration;active learning;deep ensembles;sequential optimization
Decision: Poster
Title: Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching
Authors: Byoungjip Kim, Sungik Choi, Dasol Hwang, Moontae Lee, Honglak Lee
Affiliations: LG AI Research, University of Illinois Chicago; LG AI Research
Conference: nips 2022 (main track)
Keywords: Multimodal Representation Learning;Transfer Learning;CLIP
Decision: Poster
Title: Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference
Authors: Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ayed
Affiliations: ÉTS Montreal; Université Paris-Saclay, Inria, CentraleSupélec, CVN
Conference: nips 2022 (main track)
Keywords: few-shot learning;transductive inference;minimum description length;primal-dual optimization;clustering
Decision: Poster
Title: DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning
Authors: Quan Vuong, Aviral Kumar, Sergey Levine, Yevgen Chebotar
Affiliations: Google Research, UC Berkeley; Google Research
Conference: nips 2022 (main track)
Keywords: Offline Reinforcement Learning;Generative Adversarial Networks
Decision: Poster
Title: Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity
Authors: Yiheng Lin, Yang Hu, Guannan Qu, Tongxin Li, Adam Wierman
Affiliations: Carnegie Mellon University, Pittsburgh, PA, USA; Harvard University, Cambridge, MA, USA; The Chinese University of Hong Kong (Shenzhen), Shenzhen, Guangdong, China; California Institute of Technology, Pasadena, CA, USA
Conference: nips 2022 (main track)
Keywords: Model Predictive Control;Regret;Perturbation Analysis;Prediction Error
Decision: Poster
Title: StrokeRehab: A Benchmark Dataset for Sub-second Action Identification
Authors: Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi Schambra, Carlos Fernandez-Granda
Affiliations: Courant Institute of Mathematical Sciences; NYU Center for Data Science; NYU School of Medicine
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Deep learning;Action segmentation;Action recognition;Benchmark dataset;Fine-grained actions;Stroke rehabilitation;Seq2seq models;sequence prediction
Decision: Poster