hunoutl/paperlists huggingface dataset:
Title: This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish
Authors: Lukasz Augustyniak, Kamil Tagowski, Albert Sawczyn, Denis Janiak, Roman Bartusiak, Adrian Szymczak, Arkadiusz Janz, Piotr Szymański, Marcin Wątroba, Mikołaj Morzy, Tomasz Kajdanowicz, Maciej Piasecki
Affiliations: Poznan University of Technology; Wroclaw University of Science and Technology (WUST)
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: benchmark;leaderboard;NLP benchmarking;Polish language
Decision: Poster
Title: Patching open-vocabulary models by interpolating weights
Authors: Gabriel Ilharco, Mitchell Wortsman, Samir Yitzhak Gadre, Shuran Song, Hannaneh Hajishirzi, Simon Kornblith, Ali Farhadi, Ludwig Schmidt
Affiliations: University of Washington; Google Research, Brain Team; Columbia University
Conference: nips 2022 (main track)
Keywords: zero-shot models;open-vocabulary models;model editing;model patching;vision-and-language;image-text models;CLIP
Decision: Poster
Title: HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions
Authors: Lingjiao Chen, Zhihua Jin, Evan Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Zou
Affiliations: Stanford University; Hong Kong University of Science and Technology
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: ML API;performance shift;model update
Decision: Poster
Title: Uncoupled Learning Dynamics with $O(\log T)$ Swap Regret in Multiplayer Games
Authors: Ioannis Anagnostides, Gabriele Farina, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Tuomas Sandholm
Affiliations: Carnegie Mellon University, Strategy Robot, Inc., Optimized Markets, Inc., Strategic Machine, Inc., Pittsburgh, PA 15213; Carnegie Mellon University, Pittsburgh, PA 15213; Columbia University, New York, NY 10027; University of Southern California, Los Angeles, CA 90007
Conference: nips 2022 (main track)
Keywords: Uncoupled learning dynamics;optimism;swap regret;correlated equilibria
Decision: Highlighted
Title: Quantized Training of Gradient Boosting Decision Trees
Authors: Yu Shi, Guolin Ke, Zhuoming Chen, Shuxin Zheng, Tie-Yan Liu
Affiliations: DP Technology; Microsoft Research; Tsinghua University
Conference: nips 2022 (main track)
Keywords: Gradient Boosting;Quantized Training;Low-Precision Training;Decision Trees
Decision: Poster
Title: RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning
Authors: Yingbin Bai, Erkun Yang, Zhaoqing Wang, Yuxuan Du, Bo Han, Cheng Deng, Dadong Wang, Tongliang Liu
Affiliations: CSIRO; Hong Kong Baptist University; JD Explore Academy; Xidian University; TML Lab, The University of Sydney
Conference: nips 2022 (main track)
Decision: Poster
Title: DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision
Authors: Alex Tamkin, Gaurab Banerjee, Mohamed Owda, Vincent Liu, Shashank Rammoorthy, Noah Goodman
Affiliations: Stanford University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: self-supervised learning;domain agnostic
Decision: Poster
Title: SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning
Authors: Changan Chen, Carl Schissler, Sanchit Garg, Philip Kobernik, Alexander Clegg, Paul Calamia, Dhruv Batra, Philip Robinson, Kristen Grauman
Affiliations: Meta AI; Reality Labs at Meta; UT Austin; Georgia Tech
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: embodied learning;audio-visual learning;visual acoustic learning;acoustic simulation;sim2real
Decision: Poster
Title: Learning Energy Networks with Generalized Fenchel-Young Losses
Authors: Mathieu Blondel, Felipe Llinares-Lopez, Robert Dadashi, Leonard Hussenot, Matthieu Geist
Affiliations: Google Research, Brain team
Conference: nips 2022 (main track)
Keywords: energy networks;EBMs;structured prediction;convex analysis;Fenchel conjugates
Decision: Poster
Title: Lifting Weak Supervision To Structured Prediction
Authors: Harit Vishwakarma, Frederic Sala
Affiliations: Department of Computer Sciences, University of Wisconsin-Madison, WI, USA
Conference: nips 2022 (main track)
Keywords: Weak Supervision;Structured Prediction;Pseudo-Euclidean;Riemannian Manifolds;Learning with Noise
Decision: Poster
Title: Improving GANs with A Dynamic Discriminator
Authors: Ceyuan Yang, Yujun Shen, Yinghao Xu, Deli Zhao, Bo Dai, Bolei Zhou
Affiliations: 1CUHK, 3Shanghai AI Laboratory; 1CUHK; 4UCLA; 2Ant Group; 3Shanghai AI Laboratory
Conference: nips 2022 (main track)
Keywords: generative adversarial network;image synthesis
Decision: Poster
Title: Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks
Authors: Daiki Chijiwa, Shin'ya Yamaguchi, Atsutoshi Kumagai, Yasutoshi Ida
Affiliations: NTT Computer and Data Science Laboratories, NTT Corporation
Conference: nips 2022 (main track)
Keywords: Meta-learning;Few-shot learning;Lottery ticket hypothesis
Decision: Poster
Title: Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness
Authors: Eli Weinstein, Alan Amin, Jonathan Frazer, Debora Marks
Affiliations: Harvard Medical School; Harvard Medical School and Broad Institute of Harvard and MIT; Harvard Medical School and Centre for Genomic Regulation (CRG); Columbia University
Conference: nips 2022 (main track)
Keywords: identifiability;misspecification;robustness;proteins;phylogenetics
Decision: Highlighted
Title: Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal
Authors: Yucheng Shi, Yahong Han, Yu-an Tan, Xiaohui Kuang
Affiliations: Engineering Research Center of City Intelligence and Digital Governance, Ministry of Education of the People’s Republic of China; College of Intelligence and Computing, and Tianjin Key Lab of Machine Learning, Tianjin University, Tianjin, China; School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China; National Key Laboratory of Science and Technology on Information System Security, Beijing, China
Conference: nips 2022 (main track)
Keywords: Adversarial attack;Black-box attack;Decision-based attack;Vision transformer
Decision: Poster
Title: A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity
Authors: Seo Taek Kong, Soomin Jeon, Dongbin Na, Jaewon Lee, Hong-Seok Lee, Kyu-Hwan Jung
Affiliations: VUNO Inc.; Sungkyunkwan University; University of Illinois, Urbana-Champaign; Dong-A University
Conference: nips 2022 (main track)
Keywords: Active learning;neural tangent kernel;semi-supervised learning
Decision: Poster
Title: Learning Neural Acoustic Fields
Authors: Andrew Luo, Yilun Du, Michael Tarr, Josh Tenenbaum, Antonio Torralba, Chuang Gan
Affiliations: UMass Amherst and MIT-IBM Watson AI Lab; Massachusetts Institute of Technology; Carnegie Mellon University; MIT BCS, CBMM, CSAIL
Conference: nips 2022 (main track)
Keywords: Implicit representations;neural fields;deep learning
Decision: Poster
Title: Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning
Authors: Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, Hao Dong, Song-Chun Zhu, Yaodong Yang
Affiliations: Carnegie Mellon University; University College London; Center on Frontiers of Computing Studies, Peking University; School of Computer Science, Peking University; Institute for AI, Peking University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Multi-Agent RL;Robotics;Reinforcement Learning
Decision: Poster
Title: Hand-Object Interaction Image Generation
Authors: Hezhen Hu, Weilun Wang, Wengang Zhou, Houqiang Li
Affiliations: Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, University of Science and Technology of China (USTC); CAS Key Laboratory of GIPAS, EEIS Department, University of Science and Technology of China (USTC)
Conference: nips 2022 (main track)
Keywords: hand-object interaction;complex occulsion;image generation
Decision: Poster
Title: Open High-Resolution Satellite Imagery: The WorldStrat Dataset – With Application to Super-Resolution
Authors: Julien Cornebise, Ivan Oršolić, Freddie Kalaitzis
Affiliations: Why How Ltd; University of Oxford; University College London & Why How Ltd
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: satellite imagery;land use;transfer learning;multi-resolution;stratification;high-resolution
Decision: Poster
Title: GAMA: Generative Adversarial Multi-Object Scene Attacks
Authors: Abhishek Aich, Calvin-Khang Ta, Akash Gupta, Chengyu Song, Srikanth Krishnamurthy, Salman Asif, Amit Roy-Chowdhury
Affiliations: University of California, Riverside, CA, USA
Conference: nips 2022 (main track)
Keywords: adversarial machine learning;image classification;generative adversarial attack
Decision: Poster
Title: On the Effectiveness of Persistent Homology
Authors: Renata Turkes, Guido Montufar, Nina Otter
Affiliations: University of Antwerp; University of California, Los Angeles; Queen Mary University of London
Conference: nips 2022 (main track)
Keywords: persistent homology;Betti numbers;curvature;convexity;topology of data;geometry of data;point clouds
Decision: Poster
Title: Multi-layer State Evolution Under Random Convolutional Design
Authors: Max Daniels, Cedric Gerbelot, Florent Krzakala, Lenka Zdeborová
Affiliations: ENS Paris; Northeastern University; IdePHIcs Laboratory, EPFL; SPOC Laboratory, EPFL
Conference: nips 2022 (main track)
Keywords: Approximate Message Passing;State Evolution;High-dimensional statistics;Generative Models;Convolution;Spatial Coupling
Decision: Poster
Title: Diversity vs. Recognizability: Human-like generalization in one-shot generative models
Authors: Victor Boutin, Lakshya Singhal, Xavier Thomas, Thomas Serre
Affiliations: Carney Institute for Brain Science, Dpt. of Cognitive Linguistic & Psychological Sciences, Brown University, Providence, RI 02912; Artificial and Natural Intelligence Toulouse Institute, Université de Toulouse, France
Conference: nips 2022 (main track)
Keywords: neuroscience;cognitive science;human generalization;one-shot image generation;generalization;generative model;spatial attention;context integration;diversity vs recognizability
Decision: Poster
Title: Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world
Authors: Eugene Vinitsky, Nathan Lichtlé, Xiaomeng Yang, Brandon Amos, Jakob Foerster
Affiliations: Meta AI; UC Berkeley, École des Ponts ParisTech; Meta AI, UC Berkeley; Univeristy of Oxford
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Multi-Agent Reinforcement Learning;Benchmark;Simulator;Self-Driving;Human-Modeling
Decision: Poster
Title: OpenAUC: Towards AUC-Oriented Open-Set Recognition
Authors: Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
Affiliations: 3. Key Lab. of Intelligent Information Processing, Institute of Computing Tech., CAS; 4. School of Computer Science and Tech., University of Chinese Academy of Sciences; 3. Key Lab. of Intelligent Information Processing, Institute of Computing Tech., CAS; 7. BDKM, University of Chinese Academy of Sciences; 8. Peng Cheng Laboratory; 4. School of Computer Science and Tech., University of Chinese Academy of Sciences; 1. SKLOIS, Institute of Information Engineering, CAS; 2. School of Cyber Security, University of Chinese Academy of Sciences; 5. Alibaba Group; 6. School of Cyber Science and Tech., Shenzhen Campus, Sun Yat-sen University
Conference: nips 2022 (main track)
Decision: Poster
Title: Global Convergence of Federated Learning for Mixed Regression
Authors: Lili Su, Jiaming Xu, Pengkun Yang
Affiliations: Center for Statistical Science, Tsinghua University; Electrical and Computer Engineering, Northeastern University; The Fuqua School of Business, Duke University
Conference: nips 2022 (main track)
Keywords: Federated Learning;clustering;global convergence;FedAvg;FedProx;empirical process
Decision: Poster
Title: Decoupling Features in Hierarchical Propagation for Video Object Segmentation
Authors: Zongxin Yang, Yi Yang
Affiliations: CCAI, College of Computer Science and Technology, Zhejiang University; CCAI, College of Computer Science and Technology, Zhejiang University; Baidu Research
Conference: nips 2022 (main track)
Keywords: Video Object Segmentation;Metric Learning;Instance Segmentation
Decision: Poster
Title: Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification
Authors: Dandan Guo, Zhuo Li, meixi zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha
Affiliations: The University of Texas at Austin; Xidian University; CSIRO’s Data61; The University of Texas at Austin; School of Data Science, The Chinese University of Hong Kong, Shenzhen; Institute of Robotics and Intelligent Manufacturing; School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen; Shenzhen Research Institute of Big Data; School of Data Science, The Chinese University of Hong Kong, Shenzhen; Shenzhen Institute of Artificial Intelligence and Robotics for Society
Conference: nips 2022 (main track)
Keywords: imbalanced classification optimal transport  reweighting
Decision: Poster
Title: A Unifying Framework for Online Optimization with Long-Term Constraints
Authors: Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Giulia Romano, Nicola Gatti
Affiliations: DEIB, Politecnico di Milano; Computing Sciences Department, Bocconi University
Conference: nips 2022 (main track)
Keywords: online learning;long-term constraints
Decision: Poster
Title: Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
Authors: Penghao Wu, Xiaosong Jia, Li Chen, Junchi Yan, Hongyang Li, Yu Qiao
Affiliations: Shanghai AI Laboratory; Shanghai AI Laboratory, Shanghai Jiao Tong University; Shanghai Jiao Tong University, Shanghai AI Laboratory
Conference: nips 2022 (main track)
Keywords: End-to-end Autonomous Driving
Decision: Poster
Title: A Continuous Time Framework for Discrete Denoising Models
Authors: Andrew Campbell, Joe Benton, Valentin De Bortoli, Thomas Rainforth, George Deligiannidis, Arnaud Doucet
Affiliations: Department of Statistics, University of Oxford, UK; CNRS ENS Ulm, Paris, France
Conference: nips 2022 (main track)
Keywords: diffusion;score-based;score;markov chain;markov;continuous time
Decision: Highlighted
Title: Self-Supervised Learning Through Efference Copies
Authors: Franz Scherr, Qinghai Guo, Timoleon Moraitis
Affiliations: Huawei ACS Lab, Shenzhen, China; Huawei Zurich Research Center, Switzerland
Conference: nips 2022 (main track)
Keywords: Self-supervised Learning;Theoretical Neuroscience;Sensory-Motor Learning;Representation Learning;Visual Features;Visual Perception;Deep Learning;Neural Networks;Embodied Intelligence;Inverse Models
Decision: Poster
Title: Function Classes for Identifiable Nonlinear Independent Component Analysis
Authors: Simon Buchholz, Michel Besserve, Bernhard Schölkopf
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany
Conference: nips 2022 (main track)
Keywords: nonlinear ICA;independent component analysis;identifiability;blind source separation;unsupervised representation learning;conformal maps
Decision: Poster
Title: Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses
Authors: Yuzhou Cao, Tianchi Cai, Lei Feng, Lihong Gu, Jinjie GU, Bo An, Gang Niu, Masashi Sugiyama
Affiliations: RIKEN Center for Advanced Intelligence Project, Japan; College of Computer Science, Chongqing University, China; School of Computer Science and Engineering, Nanyang Technological University, Singapore; The University of Tokyo, Japan; Ant Group, China
Conference: nips 2022 (main track)
Keywords: classification with rejection;arbitrary losses;multi-class classification
Decision: Poster
Title: A Mean-Field Game Approach to Cloud Resource Management with Function Approximation
Authors: Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Ravishankar Iyer, Tamer Basar
Affiliations: University of Illinois Urbana-Champaign; IBM Research
Conference: nips 2022 (main track)
Keywords: Mean-field game;reinforcement learning;serverless computing;resource management
Decision: Poster
Title: NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation
Authors: Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee
Affiliations: KAIST, Daejeon, South Korea
Conference: nips 2022 (main track)
Keywords: test-time adaptation;domain adaptation;deep learning;machine learning
Decision: Poster
Title: PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
Authors: Guocheng Qian, Yuchen Li, Houwen Peng, Jinjie Mai, Hasan Hammoud, Mohamed Elhoseiny, Bernard Ghanem
Affiliations: King Abdullah University of Science and Technology (KAUST); Microsoft Research
Conference: nips 2022 (main track)
Keywords: Point Cloud;Training Strategy;Model Scaling;3D;Geometric Deep Learning
Decision: Poster
Title: Multi-view Subspace Clustering on Topological Manifold
Authors: Shudong Huang, Hongjie Wu, Yazhou Ren, Ivor Tsang, Zenglin Xu, Wentao Feng, Jiancheng Lv
Affiliations: School of Computer Science and Technology, Harbin Institute of Technology Shenzhen, China; School of Computer Science and Engineering, UESTC, China; College of Computer Science, Sichuan University, China; Centre for Frontier AI Research, A∗STAR, Singapore
Conference: nips 2022 (main track)
Keywords: Subspace Clustering;Multi-view Learning;Topological Manifold Learning
Decision: Poster
Title: Unsupervised Learning of Shape Programs with Repeatable Implicit Parts
Authors: Boyang Deng, Sumith Kulal, Zhengyang Dong, Congyue Deng, Yonglong Tian, Jiajun Wu
Affiliations: Stanford University; MIT
Conference: nips 2022 (main track)
Keywords: shape programs;structured shape representation;unsupervised shape decomposition
Decision: Poster
Title: MSDS: A Large-Scale Chinese Signature and Token Digit String Dataset for Handwriting Verification
Authors: Peirong Zhang, Jiajia Jiang, Yuliang Liu, Lianwen Jin
Affiliations: Huazhong University of Science and Technology; South China University of Technology
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Handwriting Verification;Datasets;Handwritten Token Digit String;Handwritten Chinese Signature;Multimodal
Decision: Poster
Title: Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints
Authors: Jiajin Li, Sirui Lin, Jose Blanchet, Viet Anh Nguyen
Affiliations: Stanford University; Chinese University of Hong Kong
Conference: nips 2022 (main track)
Keywords: Distributionally Robust Optimization;Optimal Transport;Tikhonov Regularization
Decision: Poster
Title: Lazy and Fast Greedy MAP Inference for Determinantal Point Process
Authors: Shinichi Hemmi, Taihei Oki, Shinsaku Sakaue, Kaito Fujii, Satoru Iwata
Affiliations: The University of Tokyo, Tokyo, Japan; ICReDD, Hokkaido University, Sapporo, Japan; The University of Tokyo, Tokyo, Japan; National Institute of Informatics, Tokyo, Japan
Conference: nips 2022 (main track)
Keywords: determinantal point process;maximum a posteriori inference;submodular function maximization;greedy algorithm;Cholesky factorization
Decision: Poster
Title: Intra-agent speech permits zero-shot task acquisition
Authors: Chen Yan, Federico Carnevale, Petko I Georgiev, Adam Santoro, Aurelia Guy, Alistair Muldal, Chia-Chun Hung, Joshua Abramson, Timothy Lillicrap, Gregory Wayne
Affiliations: DeepMind, London, UK; OpenAI, San Francisco, USA; Isomorphic Labs, London, UK
Conference: nips 2022 (main track)
Decision: Poster
Title: Deep Compression of Pre-trained Transformer Models
Authors: Naigang Wang, Chi-Chun (Charlie) Liu, Swagath Venkataramani, Sanchari Sen, Chia-Yu Chen, Kaoutar El Maghraoui, Vijayalakshmi (Viji) Srinivasan, Leland Chang
Affiliations: IBM T. J. Watson Research Center, Yorktown Heights, NY 10598, USA
Conference: nips 2022 (main track)
Keywords: Quantization;Sparsity;Pruning;Pre-trained;Transformer;Foundation Model;Inference;NLP;vision;speech;BERT;Wav2vec;ViT
Decision: Poster
Title: Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift
Authors: Christina Baek, Yiding Jiang, Aditi Raghunathan, J. Zico Kolter
Affiliations: Carnegie Mellon University; Carnegie Mellon University, Bosch Center for AI
Conference: nips 2022 (main track)
Keywords: generalization;out-of-distribution generalization;robustness
Decision: Highlighted
Title: A Large Scale Search Dataset for Unbiased Learning to Rank
Authors: Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin
Affiliations: Michigan State University; Baidu Inc.
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: unbiased learning to rank
Decision: Poster
Title: Flamingo: a Visual Language Model for Few-Shot Learning
Authors: Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob L Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikołaj Bińkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karén Simonyan
Affiliations: DeepMind
Conference: nips 2022 (main track)
Decision: Highlighted
Title: WT-MVSNet: Window-based Transformers for Multi-view Stereo
Authors: Jinli Liao, Yikang Ding, Yoli Shavit, Dihe Huang, Shihao Ren, Jia Guo, Wensen Feng, Kai Zhang
Affiliations: 1Tsinghua University, 2Huawei Technologies; 2Huawei Technologies; 1Tsinghua University; 1Tsinghua University, 4Research Institute of Tsinghua, Pearl River Delta; 3Bar-Ilan University
Conference: nips 2022 (main track)
Decision: Poster
Title: Minimax Regret for Cascading Bandits
Authors: Daniel Vial, Sujay Sanghavi, Sanjay Shakkottai, R. Srikant
Affiliations: UT Austin & UIUC; UT Austin; UIUC; UT Austin & Amazon
Conference: nips 2022 (main track)
Keywords: online learning-to-rank;cascading bandits;linear stochastic bandits
Decision: Highlighted
Title: Re-Analyze Gauss: Bounds for Private Matrix Approximation via Dyson Brownian Motion
Authors: Oren Mangoubi, Nisheeth Vishnoi
Affiliations: Worcester Polytechnic Institute; Yale University
Conference: nips 2022 (main track)
Keywords: Differential Privacy;Dyson Brownian Motion;Random Matrices;Rank-k Covariance Approximation;Subspace Recovery
Decision: Poster
Title: Self-Aware Personalized Federated Learning
Authors: Huili Chen, Jie Ding, Eric W. Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang
Affiliations: Alexa AI, Amazon
Conference: nips 2022 (main track)
Keywords: Federared Learning;Personalization
Decision: Poster
Title: TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification
Authors: Mingdong Wu, Fangwei Zhong, Yulong Xia, Hao Dong
Affiliations: Center on Frontiers of Computing Studies, School of Computer Science, Peking University; Peng Cheng Laboratory; School of Intelligence Science and Technology, Peking University
Conference: nips 2022 (main track)
Keywords: Object Rearrangement;Reward Learning;Score-matching;Reinforcement Learning
Decision: Poster
Title: Neural Topological Ordering for Computation Graphs
Authors: Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Roberto Bondesan, Herke van Hoof, Christopher Lott, Weiliang Zeng, Piero Zappi
Affiliations: Qualcomm AI Research; Google LLC; University of Amsterdam, Netherlands
Conference: nips 2022 (main track)
Keywords: Combinatorial Optimization;Graph Neural Network;Directed Acyclic Graph
Decision: Poster
Title: Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
Authors: Jing Xu, Xu Luo, Xinglin Pan, Yanan Li, Wenjie Pei, Zenglin Xu
Affiliations: Zhejiang Lab; Harbin Institute of Technology, Shenzhen; University of Electronic Science and Technology of China
Conference: nips 2022 (main track)
Keywords: Few-shot learning;metric learning;image classification
Decision: Poster