hunoutl/paperlists huggingface dataset:
Title: Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning
Authors: Yixuan Pei, Zhiwu Qing, Jun CEN, Xiang Wang, Shiwei Zhang, Yaxiong Wang, Mingqian Tang, Nong Sang, Xueming Qian
Affiliations: Huazhong University of Science and Technology; The Hong Kong University of Science and Technology; Xi’an Jiaotong University; Alibaba Group
Conference: nips 2022 (main track)
Decision: Poster
Title: Robust Semi-Supervised Learning when Not All Classes have Labels
Authors: Lan-Zhe Guo, Yi-Ge Zhang, Zhi-Fan Wu, Jie-Jing Shao, Yu-Feng Li
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
Conference: nips 2022 (main track)
Keywords: semi-supervised learning;novel class discovery;robust
Decision: Poster
Title: Data Distributional Properties Drive Emergent In-Context Learning in Transformers
Authors: Stephanie Chan, Adam Santoro, Andrew Lampinen, Jane Wang, Aaditya Singh, Pierre Richemond, James McClelland, Felix Hill
Affiliations: DeepMind, Stanford University; University College London; DeepMind
Conference: nips 2022 (main track)
Keywords: in-context learning;few-shot learning;transformers
Decision: Highlighted
Title: C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting
Authors: Shane Bergsma, Tim Zeyl, Javad Rahimipour Anaraki, Lei Guo
Affiliations: Huawei Cloud, Alkaid Lab Canada
Conference: nips 2022 (main track)
Keywords: time series;probabilistic forecasting;autoregressive generative models;neural networks
Decision: Poster
Title: Latent Hierarchical Causal Structure Discovery with Rank Constraints
Authors: Biwei Huang, Charles Jia Han Low, Feng Xie, Clark Glymour, Kun Zhang
Affiliations: Beijing Technology and Business University, China; Carnegie Mellon University; Carnegie Mellon University and Mohamed bin Zayed University of Artiﬁcial Intelligence
Conference: nips 2022 (main track)
Keywords: Latent hierarchical causal structure identification;Rank deficiency constraint
Decision: Poster
Title: Exact learning dynamics of deep linear networks with prior knowledge
Authors: Lukas Braun, Clémentine Dominé, James Fitzgerald, Andrew Saxe
Affiliations: Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom; Gatsby Computational Neuroscience Unit, University College London, London, United Kingdom; Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, USA; Sainsbury Wellcome Centre, University College London, London, United Kingdom
Conference: nips 2022 (main track)
Decision: Poster
Title: Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems
Authors: Miguel Suau, Jinke He, Mustafa Mert Çelikok, Matthijs Spaan, Frans Oliehoek
Affiliations: Aalto University; Delft University of Technology
Conference: nips 2022 (main track)
Keywords: Simulation;Multi-Agent Reinforcement Learning;Influence;State Abstraction;Factorization.
Decision: Poster
Title: Fairness in Federated Learning via Core-Stability
Authors: Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta
Affiliations: University of Illinois at Urbana Champaign
Conference: nips 2022 (main track)
Keywords: Fairness;Federated Learning;Core-Stability;Social Choice
Decision: Poster
Title: Recipe for a General, Powerful, Scalable Graph Transformer
Authors: Ladislav Rampášek, Michael Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini
Affiliations: Mila, Université de Montréal; Valence Discovery, Mila, Université de Montréal; Mila, McGill University; Nanyang Technological University, Singapore
Conference: nips 2022 (main track)
Keywords: graph transformers;graph neural networks;transformers;learning on graphs;graph representation learning
Decision: Poster
Title: Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data
Authors: Armin Thomas, Christopher Ré, Russell Poldrack
Affiliations: Department of Computer Science, Stanford University; Department of Psychology, Stanford University
Conference: nips 2022 (main track)
Keywords: pre-training;self-supervised learning;neuroimaging;mental state decoding;natural language processing;language modelling
Decision: Poster
Title: Robust Feature-Level Adversaries are Interpretability Tools
Authors: Stephen Casper, Max Nadeau, Dylan Hadfield-Menell, Gabriel Kreiman
Affiliations: 1MIT CSAIL;2Boston Children’s Hospital, Harvard Medical School;3Center for Brains, Minds, and Machines; 1MIT CSAIL; 2Boston Children’s Hospital, Harvard Medical School;3Center for Brains, Minds, and Machines; 2Boston Children’s Hospital, Harvard Medical School;3Center for Brains, Minds, and Machines;4Harvard College, Harvard University
Conference: nips 2022 (main track)
Keywords: Interpretability;Explainability;Adversarial Attacks
Decision: Poster
Title: How Transferable are Video Representations Based on Synthetic Data?
Authors: Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogerio Feris
Affiliations: MIT, MIT-IBM Watson AI Lab; MIT; Boston University; MIT-IBM Watson AI Lab; MIT-IBM Watson AI Lab, Goethe University; MIT-IBM Watson AI Lab, Boston University
Conference: nips 2022 (Datasets & Benchmarks track)
Decision: Poster
Title: Blackbox Attacks via Surrogate Ensemble Search
Authors: Zikui Cai, Chengyu Song, Srikanth Krishnamurthy, Amit Roy-Chowdhury, Salman Asif
Affiliations: University of California Riverside
Conference: nips 2022 (main track)
Keywords: surrogate ensemble;bilevel optimization;limited query attacks;surrogate ensemble;hard-label attacks
Decision: Poster
Title: EZNAS: Evolving Zero-Cost Proxies For Neural Architecture Scoring
Authors: Yash Akhauri, Juan Munoz, Nilesh Jain, Ravishankar Iyer
Affiliations: Cornell University; Intel Labs
Conference: nips 2022 (main track)
Keywords: Zero Shot Neural Architecture Search;Neural Architecture Search;Program Synthesis;Evolutionary Search;Genetic Programming
Decision: Poster
Title: Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models
Authors: Fan LIU, Hao Liu, Wenzhao Jiang
Affiliations: AI Thrust, The Hong Kong University of Science and Technology (Guangzhou); AI Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou HKUST Fok Ying Tung Research Institute, CSE, The Hong Kong University of Science and Technology; AI Thrust&RBM, The Hong Kong University of Science and Technology (Guangzhou)
Conference: nips 2022 (main track)
Keywords: Spatiotemporal traffic foresting;Adversarial attack
Decision: Poster
Title: Learning Fractional White Noises in Neural Stochastic Differential Equations
Authors: Anh Tong, Thanh Nguyen-Tang, Toan Tran, Jaesik Choi
Affiliations: KAIST; KAIST, INEEJI; Johns Hopkins University; VinAI Research, Vietnam
Conference: nips 2022 (main track)
Keywords: Neural Differential Equation;Neural Stochastic Differential Equation;Gaussian Process
Decision: Poster
Title: Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution
Authors: Antonio Orvieto, Simon Lacoste-Julien, Nicolas Loizou
Affiliations: Department of Computer Science, ETH Zürich; Mila and DIRO, Université de Montréal; AMS and MINDS, Johns Hopkins University
Conference: nips 2022 (main track)
Keywords: Optimization;Convex Optimization;SGD;Gradient Descent;Adaptive Methods;Polyak Stepsize
Decision: Poster
Title: Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation
Authors: Zhun Zhong, Yuyang Zhao, Gim Hee Lee, Nicu Sebe
Affiliations: Department of Computer Science, National University of Singapore; Department of Information Engineering and Computer Science, University of Trento
Conference: nips 2022 (main track)
Keywords: Domain Generalization;Semantic Segmentation;Adversarial Style Augmentation
Decision: Poster
Title: Get More at Once: Alternating Sparse Training with Gradient Correction
Authors: Li Yang, Jian Meng, Jae-sun Seo, Deliang Fan
Affiliations: School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85287
Conference: nips 2022 (main track)
Keywords: Sparse training;Alternating training scheme
Decision: Poster
Title: S3GC: Scalable Self-Supervised Graph Clustering
Authors: Fnu Devvrit, Aditya Sinha, Inderjit Dhillon, Prateek Jain
Affiliations: Department of Computer Science, University of Texas at Austin; Google & Department of Computer Science, University of Texas at Austin; Google Research, Bengaluru, India, 560016
Conference: nips 2022 (main track)
Keywords: Graph Clustering;GNN;Contrastive Learning
Decision: Poster
Title: Group Meritocratic Fairness in Linear Contextual Bandits
Authors: Riccardo Grazzi, Arya Akhavan, John IF Falk, Leonardo Cella, Massimiliano Pontil
Affiliations: CSML, Istituto Italiano di Tecnologia, Genoa, Italy; CSML, Istituto Italiano di Tecnologia, Genoa, Italy and CREST, ENSAE, Institut Polytechnique de Paris, France; CSML, Istituto Italiano di Tecnologia, Genoa, Italy and Dept. of Computer Science, University College London, UK
Conference: nips 2022 (main track)
Keywords: Bandits;Algorithmic Fairness;Relative Rank
Decision: Poster
Title: TotalSelfScan: Learning Full-body Avatars from Self-Portrait Videos of Faces, Hands, and Bodies
Authors: Junting Dong, Qi Fang, Yudong Guo, Sida Peng, Qing Shuai, Xiaowei Zhou, Hujun Bao
Affiliations: Zhejiang University; Image Derivative Inc.
Conference: nips 2022 (main track)
Keywords: human reconstruction and view synthesis
Decision: Poster
Title: Polynomial time guarantees for the Burer-Monteiro method
Authors: Diego Cifuentes, Ankur Moitra
Affiliations: School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332; Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139
Conference: nips 2022 (main track)
Keywords: Semidefinite programming;Burer-Monteiro;Low rank factorization
Decision: Poster
Title: Self-Supervised Image Restoration with Blurry and Noisy Pairs
Authors: Zhilu Zhang, RongJian Xu, Ming Liu, Zifei Yan, Wangmeng Zuo
Affiliations: Harbin Institute of Technology, Harbin, China; Peng Cheng Laboratory, China; Harbin Institute of Technology, Harbin, China
Conference: nips 2022 (main track)
Keywords: self-supervised learning;image restoration;blurry and noisy pair
Decision: Poster
Title: Infinite Recommendation Networks: A Data-Centric Approach
Authors: Noveen Sachdeva, Mehak Dhaliwal, Carole-Jean Wu, Julian Mcauley
Affiliations: Meta AI; University of California, San Diego
Conference: nips 2022 (main track)
Keywords: Dataset Distillation;NTK;Data-centric AI;Recommender Systems
Decision: Poster
Title: UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes
Authors: Alexander Kolesnikov, André Susano Pinto, Lucas Beyer, Xiaohua Zhai, Jeremiah Harmsen, Neil Houlsby
Affiliations: Google Research, Brain Team Zürich
Conference: nips 2022 (main track)
Keywords: computer vision;deep learning;discrete representations;unified model
Decision: Highlighted
Title: Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
Authors: Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang (Bernie) Wang, Mu Li, Dit-Yan Yeung
Affiliations: Amazon Web Services; Hong Kong University of Science and Technology; Rutgers University
Conference: nips 2022 (main track)
Keywords: Machine Learning for Earth Science;Spatiotemporal Forecasting;Transformers
Decision: Poster
Title: Spectrum Random Masking for Generalization in Image-based Reinforcement Learning
Authors: Yangru Huang, Peixi Peng, Yifan Zhao, Guangyao Chen, Yonghong Tian
Affiliations: School of Computer Science, Peking University, Beijing, China; School of Computer Science, Peking University, Beijing, China; Peng Cheng Laboratory, ShenZhen, China
Conference: nips 2022 (main track)
Keywords: Data augmentation;Image-based Reinforcement Learning;Specturm
Decision: Poster
Title: Smoothed Embeddings for Certified Few-Shot Learning
Authors: Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan Oseledets
Affiliations: Moscow State University, Nuro, Inc.; Skolkovo Institute of Science and Technology; Skolkovo Institute of Science and Technology, AIRI; The University of North Carolina at Chapel Hill
Conference: nips 2022 (main track)
Keywords: Certified robustness;randomized smoothing;few-shot learning
Decision: Poster
Title: Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation
Authors: Xiang Gu, Yucheng Yang, Wei Zeng, Jian Sun, Zongben Xu
Affiliations: School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China; Pazhou Laboratory (Huangpu), Guangzhou, China; Peng Cheng Laboratory, Shenzhen, China; School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China
Conference: nips 2022 (main track)
Keywords: optimal transport;keypoint-guided model;relation preservation
Decision: Poster
Title: Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators
Authors: Scott Lowe, Robert Earle, Jason d'Eon, Thomas Trappenberg, Sageev Oore
Affiliations: Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada; Vector Institute for Artiﬁcial Intelligence, Toronto, Ontario, Canada; Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada
Conference: nips 2022 (main track)
Keywords: activation;activation functions;logit;probabilistic;Bayesian;Boolean;logic;dendritic computation
Decision: Poster
Title: Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition
Authors: Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng
Affiliations: Huawei Noah’s Ark Lab; National University of Singapore; ByteDance
Conference: nips 2022 (main track)
Keywords: Long-tail Recognition;Class Distribution Shifts
Decision: Poster
Title: Distributional Convergence of the Sliced Wasserstein Process
Authors: Jiaqi Xi, Jonathan Niles-Weed
Affiliations: Courant Institute of Mathematical Sciences, New York University, NY 10012; Center for Data Science, New York University, NY 10011; Courant Institute of Mathematical Sciences, New York University, NY 10012
Conference: nips 2022 (main track)
Decision: Poster
Title: Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
Authors: Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
Affiliations: EPFL, Switzerland
Conference: nips 2022 (main track)
Keywords: over-parameterized model;robustness;perturbation stability;initialization scheme
Decision: Poster
Title: Para-CFlows: $C^k$-universal diffeomorphism approximators as superior neural surrogates
Authors: Junlong Lyu, Zhitang Chen, Chang Feng, Wenjing Cun, Shengyu Zhu, Yanhui Geng, ZHIJIE XU, Chen Yongwei
Affiliations: Huawei Noah’s Ark Lab, China; Huawei Noah’s Ark Lab, Hong Kong SAR, China; Huawei, China
Conference: nips 2022 (main track)
Keywords: Invertible Neural Networks;Bayesian Optimization;Universality
Decision: Poster
Title: ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs
Authors: Limei Wang, Yi Liu, Yuchao Lin, Haoran Liu, Shuiwang Ji
Affiliations: Florida State University, Tallahassee, FL 32306; Texas A&M University, College Station, TX 77843
Conference: nips 2022 (main track)
Decision: Poster
Title: Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret
Authors: Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu
Affiliations: Microsoft Research Asia; Department of Computer Science, University of Illinois at Urbana-Champaign
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;Regret Minimization
Decision: Poster
Title: Breaking Bad: A Dataset for Geometric Fracture and Reassembly
Authors: Silvia Sellán, Yun-Chun Chen, Ziyi Wu, Animesh Garg, Alec Jacobson
Affiliations: University of Toronto, Vector Institute, NVIDIA; University of Toronto, Vector Institute, Adobe Research, Toronto; University of Toronto; University of Toronto, Vector Institute
Conference: nips 2022 (Datasets & Benchmarks track)
Decision: Highlighted
Title: Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning
Authors: Veit David Wild, Robert Hu, Dino Sejdinovic
Affiliations: School of Computer and Mathematical Sciences, University of Adelaide; Amazon; Department of Statistics, University of Oxford
Conference: nips 2022 (main track)
Keywords: Function Space Inference;Variational Inference;Bayesian Learning;Bayesian Inference;Generalised Variational Inference;Gaussian Processes;Gaussian Measures
Decision: Poster
Title: Deconfounded Representation Similarity for Comparison of Neural Networks
Authors: Tianyu Cui, Yogesh Kumar, Pekka Marttinen, Samuel Kaski
Affiliations: Department of Computer Science, Aalto University; Department of Computer Science, Aalto University and University of Manchester
Conference: nips 2022 (main track)
Keywords: deep neural networks;representation similarity;CKA;RSA;functional similarity;covariate adjustment regression
Decision: Highlighted
Title: GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
Authors: Chen Liang, Wenguan Wang, Jiaxu Miao, Yi Yang
Affiliations: CCAI, Zhejiang University and Baidu Research; ReLER, AAII, University of Technology Sydney; CCAI, Zhejiang University
Conference: nips 2022 (main track)
Keywords: Semantic Segmentation;Generative Classifier;Anomaly Segmentation
Decision: Poster
Title: GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs
Authors: Zenan Li, Qitian Wu, Fan Nie, Junchi Yan
Affiliations: Department of Computer Science and Engineering and MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University; Department of Computer Science and Engineering and MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University; Shanghai AI Laboratory
Conference: nips 2022 (main track)
Keywords: Graph Data;Debiased Learning;OOD Detection.
Decision: Poster
Title: Amplifying Membership Exposure via Data Poisoning
Authors: Yufei Chen, Chao Shen, Yun Shen, Cong Wang, Yang Zhang
Affiliations: 2City University of Hong Kong; 4CISPA Helmholtz Center for Information Security; 3NetApp; 1Xi’an Jiaotong University, 2City University of Hong Kong; 1Xi’an Jiaotong University
Conference: nips 2022 (main track)
Keywords: Data poisoning;membership inference;data privacy
Decision: Poster
Title: Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation
Authors: Ziyu Jiang, Xuxi Chen, Xueqin Huang, Xianzhi Du, Denny Zhou, Zhangyang Wang
Affiliations: University of Texas at Austin; Texas A&M University; Google
Conference: nips 2022 (main track)
Keywords: Memory Efficiency;Sparsity;Prune
Decision: Poster
Title: APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking
Authors: Yuxiang Yang, Junjie Yang, Yufei Xu, Jing Zhang, Long Lan, Dacheng Tao
Affiliations: JD Explore Academy, Beijing 101111, China; School of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China; School of Computer Science, The University of Sydney, NSW 2006, Australia; National University of Defense Technology, Changsha 410073, China
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Animal pose;pose estimation;pose tracking
Decision: Poster
Title: On the Representation Collapse of Sparse Mixture of Experts
Authors: Zewen Chi, Li Dong, Shaohan Huang, Damai Dai, Shuming Ma, Barun Patra, Saksham Singhal, Payal Bajaj, XIA SONG, Xian-Ling Mao, Heyan Huang, Furu Wei
Affiliations: Peking University; Beijing Institute of Technology; Microsoft Corporation
Conference: nips 2022 (main track)
Decision: Poster
Title: OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics
Authors: Mohit Prabhushankar, Kiran Kokilepersaud, Yash-yee Logan, Stephanie Trejo Corona, Ghassan AlRegib, Charles Wykoff
Affiliations: OLIVES at the Centre for Signal and Info. Processing, Georgia Tech, Atlanta, GA 30332, USA; Retina Consultants Texas, Retina Consultants of America, Houston, Texas 77030, USA
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Ophthamology datasets;Biomarker analysis;Treatment prediction;Self-supervised learning
Decision: Poster
Title: DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning
Authors: Siqi Xu, Lin Liu, Zhonghua Liu
Affiliations: Department of Statistics and Actuarial Sciences, University of Hong Kong, Hong Kong SAR, China; Institute of Natural Sciences, MOE-LSC, School of Mathematical Sciences, CMA-Shanghai, and SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University and Shanghai Artiﬁcial Intelligence Laboratory, Shanghai, China; Department of Biostatistics, Columbia University, New York, NY, USA
Conference: nips 2022 (main track)
Keywords: Causal Inference;Causal Mediation Analysis;Causal Machine Learning;Deep Learning;Semiparametric Statistics;Fairness
Decision: Poster
Title: Regret Bounds for Multilabel Classification in Sparse Label Regimes
Authors: Róbert Busa-Fekete, Heejin Choi, Krzysztof Dembczynski, Claudio Gentile, Henry Reeve, Balazs Szorenyi
Affiliations: Yahoo Research, Poznan University of Technology; Yahoo Research; University of Bristol; Google Research; Google
Conference: nips 2022 (main track)
Keywords: regret bounds;sparse multilabel classification
Decision: Poster
Title: Generalized One-shot Domain Adaptation of Generative Adversarial Networks
Authors: Zicheng Zhang, Yinglu Liu, Congying Han, Tiande Guo, Ting Yao, Tao Mei
Affiliations: University of Chinese Academy of Sciences; JD AI Research
Conference: nips 2022 (main track)
Keywords: Generative Adversarial Network;Computer vision;domain adaptation
Decision: Poster
Title: ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift
Authors: Athresh Karanam, Krishnateja Killamsetty, Harsha Kokel, Rishabh Iyer
Affiliations: University of Texas at Dallas
Conference: nips 2022 (main track)
Keywords: Data Subset Selection;Submodular Mutual Information Measures;Supervised Domain Adaptation;Efficient Domain Adaptation;Distribution Shift
Decision: Poster
Title: Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
Authors: Yue Tan, Guodong Long, Jie Ma, LU LIU, Tianyi Zhou, Jing Jiang
Affiliations: University of Washington, University of Maryland; Australian Artiﬁcial Intelligence Institute, FEIT, University of Technology Sydney; Google Research
Conference: nips 2022 (main track)
Keywords: Federated Learning;Contrastive Learning;Pre-trained Models
Decision: Poster
Title: Predictive Querying for Autoregressive Neural Sequence Models
Authors: Alex Boyd, Samuel Showalter, Stephan Mandt, Padhraic Smyth
Affiliations: Department of Statistics, University of California, Irvine; Department of Computer Science, University of California, Irvine; Department of Statistics and Department of Computer Science, University of California, Irvine
Conference: nips 2022 (main track)
Keywords: probabilistic querying;neural sequence models;recurrent neural networks
Decision: Highlighted
Title: Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
Authors: AJAY JAISWAL, Peihao Wang, Tianlong Chen, Justin Rousseau, Ying Ding, Zhangyang Wang
Affiliations: University of Texas at Austin
Conference: nips 2022 (main track)
Keywords: Deep Graph Neural Networks;Gradient Flow;Initialization;Isometric Learning
Decision: Poster
Title: I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification
Authors: Muhammad Ferjad Naeem, Yongqin Xian, Luc V Gool, Federico Tombari
Affiliations: ETH Zürich; TUM and Google
Conference: nips 2022 (main track)
Keywords: Zero-shot Learning;Multimodal learning;Transformer;Attention
Decision: Poster
Title: CoNT: Contrastive Neural Text Generation
Authors: Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang
Affiliations: 1Fudan University; 1Fudan University, 4Shanghai Collaborative Innovation Center of Intelligent Visual Computing; 1Fudan University, 2Shark-NLP Shanghai AI Laboratory; 2Shark-NLP Shanghai AI Laboratory, 3The University of Hong Kong; 2Shark-NLP Shanghai AI Laboratory
Conference: nips 2022 (main track)
Decision: Poster