hunoutl/paperlists huggingface dataset:
Title: Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning
Authors: Joseph Early, Tom Bewley, Christine Evers, Sarvapali Ramchurn
Affiliations: University of Southampton, United Kingdom; The Alan Turing Institute, United Kingdom; University of Southampton, United Kingdom; University of Bristol, United Kingdom; The Alan Turing Institute, United Kingdom
Conference: nips 2022 (main track)
Keywords: reward modelling;reinforcement learning;multiple instance learning;interpretability
Decision: Poster
Title: Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation
Authors: Jinlong Li, Zequn Jie, Xu Wang, Xiaolin Wei, Lin Ma
Affiliations: Meituan Inc.; College of Computer Science and Software Engineering, Shenzhen University, China
Conference: nips 2022 (main track)
Keywords: deformable;expansion;shrinkage;weakly-supervised semantic segmentation
Decision: Poster
Title: Physically-Based Face Rendering for NIR-VIS Face Recognition
Authors: Yunqi Miao, Alexandros Lattas, Jiankang Deng, Jungong Han, Stefanos Zafeiriou
Affiliations: Department of Computer Science, Aberystwyth University; Huawei and InsightFace; Warwick Manufacturing Group, University of Warwick; Imperial College London and Huawei; Department of Computing, Imperial College London
Conference: nips 2022 (main track)
Decision: Poster
Title: Your Transformer May Not be as Powerful as You Expect
Authors: Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
Affiliations: Machine Learning Department, School of Computer Science, Carnegie Mellon University; National Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; Center for Data Science, Peking University; Microsoft Research; National Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University
Conference: nips 2022 (main track)
Keywords: Transformer;Positional Encoding;Expressive Power
Decision: Poster
Title: Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation
Authors: Zhouxing Shi, Yihan Wang, Huan Zhang, J. Zico Kolter, Cho-Jui Hsieh
Affiliations: University of California, Los Angeles; Carnegie Mellon University; Carnegie Mellon University, Bosch Center for AI
Conference: nips 2022 (main track)
Keywords: Lipschitz;verification;robustness
Decision: Poster
Title: EfficientFormer: Vision Transformers at MobileNet Speed
Authors: Yanyu Li, Geng Yuan, Yang Wen, Ju Hu, Georgios Evangelidis, Sergey Tulyakov, Yanzhi Wang, Jian Ren
Affiliations: Snap Inc.; Northeastern University; Snap Inc. and Northeastern University
Conference: nips 2022 (main track)
Keywords: Vision Transformer
Decision: Poster
Title: Locally Hierarchical Auto-Regressive Modeling for Image Generation
Authors: Tackgeun You, Saehoon Kim, Chiheon Kim, Doyup Lee, Bohyung Han
Affiliations: CSE, POSTECH, Korea; ECE,2IPAI,3AIIS, Seoul National University, Korea; Kakao Brain, Korea
Conference: nips 2022 (main track)
Decision: Poster
Title: "Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach
Authors: lingyu gu, Yongqi Du, yuan zhang, Di Xie, Shiliang Pu, Robert Qiu, Zhenyu Liao
Affiliations: Hikvision Research Institute, Hangzhou, China; EIC, Huazhong University of Science and Technology, Wuhan, China
Conference: nips 2022 (main track)
Keywords: Deep learning theory;high-dimensional statistics;neural network compression;neural tangent kernel;random matrix theory.
Decision: Poster
Title: Training Uncertainty-Aware Classifiers with Conformalized Deep Learning
Authors: Bat-Sheva Einbinder, Yaniv Romano, Matteo Sesia, Yanfei Zhou
Affiliations: Faculty of ECE and of Computer Science, Technion, Israel; Faculty of Electrical & Computer Engineering (ECE) Technion, Israel; Department of Data Sciences and Operations, University of Southern California, Los Angeles, California, USA
Conference: nips 2022 (main track)
Keywords: Deep learning;Uncertainty;Conformal inference;Multi-class classification;Overfitting;Confidence.
Decision: Poster
Title: Toward Robust Spiking Neural Network Against Adversarial Perturbation
Authors: LING LIANG, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie
Affiliations: Drexel University; UC Santa Barbara; SKL of Processors, Institute of Computing Technology, CAS; Alibaba Group; Tsinghua University
Conference: nips 2022 (main track)
Keywords: Spiking Neural Network;Certified Training;Adversarial Attack
Decision: Poster
Title: S-PIFu: Integrating Parametric Human Models with PIFu for Single-view Clothed Human Reconstruction
Authors: Kennard Chan, Guosheng Lin, Haiyu Zhao, Weisi Lin
Affiliations: Nanyang Technological University; S-Lab, Nanyang Technological University; SenseTime Research
Conference: nips 2022 (main track)
Keywords: Single-view clothed human reconstruction;parametric human body models;pixel-aligned implicit models
Decision: Poster
Title: Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability
Authors: Roman Levin, Manli Shu, Eitan Borgnia, Furong Huang, Micah Goldblum, Tom Goldstein
Affiliations: Center for Data Science, New York University; Department of Computer Science, University of Maryland; Department of Applied Mathematics, University of Washington
Conference: nips 2022 (main track)
Keywords: parameter saliency;explainability;saliency maps
Decision: Poster
Title: Rethinking Alignment in Video Super-Resolution Transformers
Authors: Shuwei Shi, Jinjin Gu, Liangbin Xie, Xintao Wang, Yujiu Yang, Chao Dong
Affiliations: Shenzhen International Graduate School, Tsinghua University; Shanghai AI Laboratory, The University of Sydney; ARC Lab, Tencent PCG; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shanghai AI Laboratory; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
Conference: nips 2022 (main track)
Keywords: Video Super-Resolution;Transformer;Self-attention;Alignment
Decision: Poster
Title: Divert More Attention to Vision-Language Tracking
Authors: Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing
Affiliations: Department of Computer Science and Engineering, University of North Texas; DiDi Chuxing, Beijing, China; Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University
Conference: nips 2022 (main track)
Keywords: Visual Object Tracking;Multimodal Learning;Vision-Language Representation;Asymmetrical Searching Strategy
Decision: Poster
Title: Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning
Authors: Ziyi Zhang, Weikai Chen, Hui Cheng, Zhen Li, Siyuan Li, Liang Lin, Guanbin Li
Affiliations: School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China; National Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China; Tencent America; AI Lab, School of Engineering, Westlake University, Hangzhou, China; The Chinese University of Hong Kong, Shenzhen, China
Conference: nips 2022 (main track)
Keywords: domain adaptation;source-free;contrastive learning
Decision: Poster
Title: VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
Authors: Che Wang, Xufang Luo, Keith Ross, Dongsheng Li
Affiliations: New York University Shanghai, New York University; Microsoft Research Asia, Shanghai, China; New York University Shanghai
Conference: nips 2022 (main track)
Keywords: deep reinforcement learning;visual control;data-driven framework;pretraining
Decision: Poster
Title: Revisiting Heterophily For Graph Neural Networks
Authors: Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
Affiliations: McGill University; McGill University;Mila;DeepMind; McGill University;Mila
Conference: nips 2022 (main track)
Keywords: Graph Neural Networks;Homophily Metrics;Heterophily;Non-Homophilous;Heterophilic Graphs;High-pass filter;Filterbank;Adaptive Channel Mixing
Decision: Poster
Title: Increasing Confidence in Adversarial Robustness Evaluations
Authors: Roland S. Zimmermann, Wieland Brendel, Florian Tramer, Nicholas Carlini
Affiliations: University of Tübingen, Tübingen AI Center; Google
Conference: nips 2022 (main track)
Keywords: adversarial robustness;robustness;adversarial attack
Decision: Poster
Title: Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class
Authors: Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi
Affiliations: University of Wollongong; Southeast University; University of Sydney; Nanjing University
Conference: nips 2022 (main track)
Keywords: barely supervised learning
Decision: Poster
Title: Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation
Authors: Cansu Sancaktar, Sebastian Blaes, Georg Martius
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany
Conference: nips 2022 (main track)
Keywords: Intrinsic Motivation;Reinforcement Learning;Model-based Planning;Manipulation;Zero-shot Generalization
Decision: Poster
Title: Learning Mixed Multinomial Logits with Provable Guarantees
Authors: Yiqun Hu, David Simchi-Levi, Zhenzhen Yan
Affiliations: Nanyang Technological University; MIT
Conference: nips 2022 (main track)
Keywords: Mixed Multinomial Logits (MMNL);Non-parametric estimation;Statistical learning;Provable algorithms;Sample complexity;Conditional gradient (Frank-Wolfe)
Decision: Poster
Title: Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing
Authors: Peng Ye, Shengji Tang, Baopu Li, Tao Chen, Wanli Ouyang
Affiliations: The University of Sydney, SenseTime Computer Vision Group, Australia, and Shanghai AI Lab; Oracle Health and AI, USA; School of Information Science and Technology, Fudan University
Conference: nips 2022 (main track)
Keywords: Residual Networks;Network Loafing;Stimulative Training
Decision: Poster
Title: Adversarial training for high-stakes reliability
Authors: Daniel Ziegler, Seraphina Nix, Lawrence Chan, Tim Bauman, Peter Schmidt-Nielsen, Tao Lin, Adam Scherlis, Noa Nabeshima, Benjamin Weinstein-Raun, Daniel de Haas, Buck Shlegeris, Nate Thomas
Affiliations: UC Berkeley. Work done at Redwood Research; Redwood Research
Conference: nips 2022 (main track)
Keywords: adversarial training;language model;redteaming;human adversaries;tool assisted
Decision: Poster
Title: Global Convergence of Direct Policy Search for State-Feedback $\mathcal{H}_\infty$ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential
Authors: Xingang Guo, Bin Hu
Affiliations: Department of Electrical and Computer Engineering, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign
Conference: nips 2022 (main track)
Keywords: policy gradient;robust control;reinforcement learning;nonsmooth optimization
Decision: Poster
Title: Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding
Authors: Yang Jin, yongzhi li, Zehuan Yuan, Yadong Mu
Affiliations: Peking University, Peng Cheng Laboratory; Peking University; ByteDance
Conference: nips 2022 (main track)
Keywords: Computer Vision;Video Understanding;Visual Grounding
Decision: Poster
Title: Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution
Authors: Khai Nguyen, Nhat Ho
Affiliations: Department of Statistics and Data Sciences, The University of Texas at Austin, Austin, TX 78712
Conference: nips 2022 (main track)
Keywords: Sliced Wasserstein;Optimal Transport;Generative Models;Convolutional Operators
Decision: Poster
Title: Efficient and Effective Augmentation Strategy for Adversarial Training
Authors: Sravanti Addepalli, Samyak Jain, Venkatesh Babu R
Affiliations: Indian Institute of Technology (BHU) Varanasi; Video Analytics Lab, Indian Institute of Science, Bangalore
Conference: nips 2022 (main track)
Keywords: Adversarial Training;Data Augmentation;Adversarial Robustness
Decision: Poster
Title: Triangulation candidates for Bayesian optimization
Authors: Robert Gramacy, Annie Sauer, Nathan Wycoff
Affiliations: Department of Statistics, Virginia Tech, Blacksburg, V A 24060, USA; The McCourt School’s Massive Data Institute, Georgetown University, Washington DC, 20057, USA
Conference: nips 2022 (main track)
Keywords: surrogate modeling;Gaussian process;active learning;sequential design;space-filling design;Delaunay triangulation;convex hull
Decision: Poster
Title: CCCP is Frank-Wolfe in disguise
Authors: Alp Yurtsever, Suvrit Sra
Affiliations: Massachusetts Institute of Technology; Umeå University
Conference: nips 2022 (main track)
Keywords: convex-concave procedure;cccp;frank-wolfe;conditional gradient method;difference of convex programming;expectation maximization;sinkhorn
Decision: Poster
Title: Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics
Authors: Cristopher Salvi, Maud Lemercier, Andris Gerasimovics
Affiliations: University of Bath; University of Warwick; Imperial College London & The Alan Turing Institute
Conference: nips 2022 (main track)
Keywords: operator learning;PDEs;neural differential equations;spatiotemporal data
Decision: Poster
Title: A Mixture Of Surprises for Unsupervised Reinforcement Learning
Authors: Andrew Zhao, Matthieu Lin, Yangguang Li, Yong-jin Liu, Gao Huang
Affiliations: Department of Automation, BNRist, Tsinghua University; Department of Computer Science, BNRist, Tsinghua University; SenseTime
Conference: nips 2022 (main track)
Keywords: Unsupervised Reinforcement Learning
Decision: Poster
Title: Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
Authors: Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik
Affiliations: Harvard University; MIT Lincoln Laboratory; Harvard University†, University of North Carolina at Charlotte
Conference: nips 2022 (main track)
Keywords: time series;pre-training;contrastive learning;transfer learning;self-supervised learning
Decision: Poster
Title: Domain Adaptation under Open Set Label Shift
Authors: Saurabh Garg, Sivaraman Balakrishnan, Zachary Lipton
Affiliations: Machine Learning Department, Department of Statistics and Data Science, Carnegie Mellon University
Conference: nips 2022 (main track)
Keywords: Domain Adaptation;Label shift;PU learning;deep learning;open set domain adaptation;deep learning
Decision: Poster
Title: Tractable Function-Space Variational Inference in Bayesian Neural Networks
Authors: Tim G. J. Rudner, Zonghao Chen, Yee Whye Teh, Yarin Gal
Affiliations: University of Oxford; University College London
Conference: nips 2022 (main track)
Keywords: Variational Inference;Bayesian Neural Networks;Uncertainty Quantification
Decision: Poster
Title: Learning Symmetric Rules with SATNet
Authors: Sangho Lim, Eun-Gyeol Oh, Hongseok Yang
Affiliations: School of Computing and Kim Jaechul Graduate School of AI, KAIST, Discrete Mathematics Group, Institute for Basic Science (IBS), Daejeon, South Korea; School of Computing, KAIST, Daejeon, South Korea; Graduate School of Information Security, KAIST, Daejeon, South Korea
Conference: nips 2022 (main track)
Keywords: group equivariance;deep learning;MAXSAT;SATNet
Decision: Poster
Title: Evaluating Robustness to Dataset Shift via Parametric Robustness Sets
Authors: Nikolaj Thams, Michael Oberst, David Sontag
Affiliations: CSAIL & IMES, MIT, Cambridge, MA; Dept. of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmark
Conference: nips 2022 (main track)
Keywords: Causality;Robustness;Distributional Robustness;Distribution Shift;Dataset Shift
Decision: Poster
Title: SQ Lower Bounds for Learning Single Neurons with Massart Noise
Authors: Ilias Diakonikolas, Daniel Kane, Lisheng Ren, Yuxin Sun
Affiliations: University of Wisconsin-Madison; University of California, San Diego
Conference: nips 2022 (main track)
Keywords: learning theory;Statistical Query (SQ) model;Massart noise;single neuron;ReLU activation
Decision: Poster
Title: Private and Communication-Efficient Algorithms for Entropy Estimation
Authors: Gecia Bravo-Hermsdorff, Róbert Busa-Fekete, Mohammad Ghavamzadeh, Andres Munoz Medina, Umar Syed
Affiliations: Google Research; Department of Statistics, University College London
Conference: nips 2022 (main track)
Keywords: Shannon entropy;collision entropy;Gini entropy;differentially private algorithms;communication-efficient algorithms
Decision: Poster
Title: Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning
Authors: Runze Liu, Fengshuo Bai, Yali Du, Yaodong Yang
Affiliations: King’s College London; Institute of Automation, Chinese Academy of Science; Institute for AI, Peking University; Shandong University; Institute for AI, Peking University; Beijing Institute for General AI
Conference: nips 2022 (main track)
Keywords: preference-based reinforcement learning;human-in-the-loop reinforcement learning;deep reinforcement learning;bi-level optimization
Decision: Poster
Title: mRI: Multi-modal 3D Human Pose Estimation Dataset using mmWave, RGB-D, and Inertial Sensors
Authors: Sizhe An, Yin Li, Umit Ogras
Affiliations: University of Wisconsin-Madison
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Human Pose Estimation;Human Activity Recognition;IMU;Multi-Modal;mmWave;Healthcare;Rehabilitation
Decision: Poster
Title: LIPS - Learning Industrial Physical Simulation benchmark suite
Authors: Milad LEYLI ABADI, Antoine Marot, Jérôme Picault, David Danan, Mouadh Yagoubi, Benjamin Donnot, Seif Attoui, Pavel Dimitrov, Asma Farjallah, Clement Etienam
Affiliations: Nvidia; IRT SystemX, Palaiseau, France; RTE France, Paris, France
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: benchmark suite;physical simulations;surrogate model;industrial use case
Decision: Poster
Title: Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency
Authors: Viraj Prabhu, Sriram Yenamandra, Aaditya Singh, Judy Hoffman
Affiliations: Georgia Institute of Technology
Conference: nips 2022 (main track)
Keywords: domain adaptation;self-supervised learning;vision transformer;object recognition
Decision: Poster
Title: Scalable Infomin Learning
Authors: Yanzhi Chen, weihao sun, Yingzhen Li, Adrian Weller
Affiliations: University of Cambridge; University of Cambridge, Alan Turing Institute; Rutgers University; Imperial College London
Conference: nips 2022 (main track)
Keywords: mutual information;representation learning;fairness;disentangled representation learning;domain adaptation
Decision: Poster
Title: Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network
Authors: Giyoung Jeon, Haedong Jeong, Jaesik Choi
Affiliations: KAIST; KAIST, INEEJI; UNIST, INEEJI
Conference: nips 2022 (main track)
Keywords: Explainable AI;Input Attribution
Decision: Poster
Title: Efficient Submodular Optimization under Noise: Local Search is Robust
Authors: Lingxiao Huang, Yuyi Wang, Chunxue Yang, Huanjian Zhou
Affiliations: Nanyang Technological University; The University of Tokyo; Swiss Federal Institute of Technology; Huawei TCS Lab -> Nanjing University
Conference: nips 2022 (main track)
Keywords: submodular;optimization;noise;local search
Decision: Poster
Title: Wasserstein $K$-means for clustering probability distributions
Authors: Yubo Zhuang, Xiaohui Chen, Yun Yang
Affiliations: Department of Statistics, University of Illinois at Urbana-Champaign
Conference: nips 2022 (main track)
Keywords: Barycenter;K-means clustering;Optimal transport;Semi-definite programming;Wasserstein distance
Decision: Poster
Title: Falsification before Extrapolation in Causal Effect Estimation
Authors: Zeshan M Hussain, Michael Oberst, Ming-Chieh Shih, David Sontag
Affiliations: National Dong Hwa University, Hualien, Taiwan; MIT CSAIL & IMES, Cambridge, MA
Conference: nips 2022 (main track)
Keywords: Causal Inference;Randomized Trial;Hypothesis Testing;Causal Effects
Decision: Poster
Title: Contextual Bandits with Knapsacks for a Conversion Model
Authors: Zhen LI, Gilles Stoltz
Affiliations: BNP Paribas, 16 boulevard des Italiens, 75009 Paris, France; Université Paris-Saclay, CNRS, Laboratoire de mathématiques d’Orsay, 91405, Orsay, France; HEC Paris, 1 rue de la Libération, 78350 Jouy-en-Josas, France
Conference: nips 2022 (main track)
Keywords: mutli-armed bandits;bandits with knapsacks;logistic bandits;primal-dual approaches
Decision: Poster
Title: TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s
Authors: Felix Chern, Blake Hechtman, Andy Davis, Ruiqi Guo, David Majnemer, Sanjiv Kumar
Affiliations: Google Core ML; Google Research
Conference: nips 2022 (main track)
Keywords: TPU;K-nearest neighbor search;Approximate nearest neighbor search;roofline model;accelerator
Decision: Poster
Title: Pruning’s Effect on Generalization Through the Lens of Training and Regularization
Authors: Tian Jin, Michael Carbin, Dan Roy, Jonathan Frankle, Gintare Karolina Dziugaite
Affiliations: MIT; MosaicML; Google Research, Brain Team; University of Toronto, Vector Institute
Conference: nips 2022 (main track)
Keywords: pruning;generalization;empirical deep learning
Decision: Poster
Title: FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction
Authors: Samiul Alam, Luyang Liu, Ming Yan, Mi Zhang
Affiliations: The Chinese University of Hong Kong, Shenzhen, Michigan State University; The Ohio State University, Michigan State University; Michigan State University, The Ohio State University; Google Research
Conference: nips 2022 (main track)
Keywords: Federated Learning;Model Heterogeneity;Large ModeIs
Decision: Poster
Title: Discovery of Single Independent Latent Variable
Authors: Uri Shaham, Jonathan Svirsky, Ori Katz, Ronen Talmon
Affiliations: Electrical and Computer Engineering, Technion, Haifa, Israel; Department of Computer Science, Bar-Ilan University, Ramat Gan, Israel; Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel
Conference: nips 2022 (main track)
Keywords: Independent Component revcovery
Decision: Poster
Title: Communicating Natural Programs to Humans and Machines
Authors: Sam Acquaviva, Yewen Pu, Marta Kryven, Theodoros Sechopoulos, Catherine Wong, Gabrielle Ecanow, Maxwell Nye, Michael Tessler, Josh Tenenbaum
Affiliations: Autodesk Research; MIT
Conference: nips 2022 (Datasets & Benchmarks track)
Decision: Highlighted
Title: Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness
Authors: Amin Jaber, Adele Ribeiro, Jiji Zhang, Elias Bareinboim
Affiliations: Hong Kong Baptist University; Purdue University; Columbia University
Conference: nips 2022 (main track)
Keywords: causality;causal inference;Markov equivalence;causal effect identification
Decision: Highlighted
Title: Linear tree shap
Authors: peng yu, Albert Bifet, Jesse Read, Chao Xu
Affiliations: LIX, Ecole Polytechnique, IP Paris; University of Electronic Science and Technology of China; University of Electronic Science and Technology of China, LTCI, T ´el´ecom Paris, IP Paris, AI Institute, University of Waikato, Shopify; LTCI, T ´el´ecom Paris, IP Paris, AI Institute, University of Waikato
Conference: nips 2022 (main track)
Decision: Highlighted
Title: Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection
Authors: Tianyu Wang, Xiaowei Hu, Zhengzhe LIU, Chi-Wing Fu
Affiliations: 1The Chinese University of Hong Kong, 2The Shun Hing Institute of Advanced Engineering, 3Shanghai AI Laboratory; 1The Chinese University of Hong Kong, 2The Shun Hing Institute of Advanced Engineering; 1The Chinese University of Hong Kong; 3Shanghai AI Laboratory
Conference: nips 2022 (main track)
Keywords: 3D Object Detection;Sparse2Dense
Decision: Poster
Title: Stability and Generalization for Markov Chain Stochastic Gradient Methods
Authors: 王璞玉
Affiliations: Liu Bie Ju Centre for Mathematical Sciences, City University of Hong Kong; School of Computer Science, University of Birmingham; School of Mathematics and Statistics, University of Sydney; Department of Mathematics and Statistics, State University of New York at Albany
Conference: nips 2022 (main track)
Keywords: statistical learning theory;algorithmic stability;generalization analysis;stochastic gradient methods
Decision: Poster