hunoutl/paperlists huggingface dataset:
Title: Thinned random measures for sparse graphs with overlapping communities
Authors: Federica Zoe Ricci, Michele Guindani, Erik Sudderth
Affiliations: Departments of Computer Science and Statistics, University of California, Irvine, CA, USA; Department of Statistics, University of California, Irvine, CA, USA; Department of Biostatistics, University of California, Los Angeles, CA, USA
Conference: nips 2022 (main track)
Keywords: bayesian nonparametrics;network analysis;stochastic blockmodels;generalized gamma process;completely random measures
Decision: Poster
Title: FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning
Authors: Xiao-Yang Liu, Ziyi Xia, Jingyang Rui, Jiechao Gao, Hongyang Yang, Ming Zhu, Christina Wang, Zhaoran Wang, Jian Guo
Affiliations: University of Virginia; The University of Hongkong; New York University (Shanghai); Columbia University; IDEA Research, International Digital Economy Academy; SIAT CAS; Northwestern University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Market environments;financial reinforcement learning;data-driven machine learning;finance benchmarks
Decision: Poster
Title: Decision Trees with Short Explainable Rules
Authors: Victor Feitosa Souza, Ferdinando Cicalese, Eduardo Laber, Marco Molinaro
Affiliations: Departamento de Informática, Pontiﬁical Catholic University of Rio de Janeiro, Rio de Janeiro, RJ - Brazil; Departamento de Informática, Pontiﬁcal Catholic University of Rio de Janeiro, Rio de Janeiro, RJ - Brazil; Microsoft Research & Pontiﬁical Catholic University of Rio de Janeiro; Department of Computer Science, University of Verona, Verona - Italy
Conference: nips 2022 (main track)
Keywords: decision trees;explainable models;classification;approximation algorithms
Decision: Poster
Title: Hierarchical Agglomerative Graph Clustering in Poly-Logarithmic Depth
Authors: Laxman Dhulipala, David Eisenstat, Jakub Lacki, Vahab Mirrokni, Jessica Shi
Affiliations: University of Maryland and Google Research; MIT CSAIL; Google Research
Conference: nips 2022 (main track)
Keywords: hierarchical clustering;graph clustering;parallel algorithms;parallel graph algorithms;scalable algorithms
Decision: Poster
Title: Differentiable hierarchical and surrogate gradient search for spiking neural networks
Authors: Kaiwei Che, Luziwei Leng, Kaixuan Zhang, Jianguo Zhang, Qinghu Meng, Jie Cheng, Qinghai Guo, Jianxing Liao
Affiliations: Southern University of Science and Technology, China; ACS Lab, Huawei Technologies, Shenzhen, China
Conference: nips 2022 (main track)
Keywords: spiking neural network;architecture search;event-based stereo;image classification;surrogate gradient
Decision: Poster
Title: Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions
Authors: Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
Affiliations: McGill University, Quebec AI Institute; Google Brain; UC Berkeley
Conference: nips 2022 (main track)
Keywords: reinforcement learning;representation learning;self-supervised learning;generalization
Decision: Poster
Title: Fault-Aware Neural Code Rankers
Authors: Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andres Codas, Mark Encarnación, Shuvendu Lahiri, Madanlal Musuvathi, Jianfeng Gao
Affiliations: Microsoft Research
Conference: nips 2022 (main track)
Keywords: program synthesis;code generation;AI for code
Decision: Poster
Title: Learning Manifold Dimensions with Conditional Variational Autoencoders
Authors: Yijia Zheng, Tong He, Yixuan Qiu, David P Wipf
Affiliations: Amazon Web Services; School of Statistics and Management, Shanghai University of Finance and Economics; Department of Statistics, Purdue University
Conference: nips 2022 (main track)
Keywords: Conditional Variational Autoencoder;Deep Generative Model
Decision: Poster
Title: Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models
Authors: Rui Miao, Zhengling Qi, Xiaoke Zhang
Affiliations: The George Washington University; University of California, Irvine
Conference: nips 2022 (main track)
Keywords: Off-Policy Evaluation;Non-parametric Instrumental Variable;Reinforcement Learning Theory;Ill-posedness
Decision: Poster
Title: Implications of Model Indeterminacy for Explanations of Automated Decisions
Authors: Marc-Etienne Brunet, Ashton Anderson, Richard Zemel
Affiliations: University of Toronto, Columbia University, Vector Institute; University of Toronto, Vector Institute
Conference: nips 2022 (main track)
Keywords: underspecification;Rashomon effect;explainability;robustness;epistemic uncertainty
Decision: Highlighted
Title: Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization
Authors: Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Jing Huang, Larry Carin, Fan Li, Chenyang Tao
Affiliations: Duke University; Virginia Tech; Amazon
Conference: nips 2022 (main track)
Keywords: mutual information;variational inference;contrastive learning;few-shot learning;meta learning
Decision: Poster
Title: Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement
Authors: Cian Naik, Judith Rousseau, Trevor Campbell
Affiliations: Department of Statistics, University of British Columbia; Department of Statistics, University of Oxford
Conference: nips 2022 (main track)
Keywords: Bayesian coresets;Markov chain Monte Carlo;data subsampling
Decision: Highlighted
Title: LAION-5B: An open large-scale dataset for training next generation image-text models
Authors: Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, Patrick Schramowski, Srivatsa Kundurthy, Katherine Crowson, Ludwig Schmidt, Robert Kaczmarczyk, Jenia Jitsev
Affiliations: Stability AI; Technical University of Munich; EleutherAI; LAION; Gentec Data; University of Washington, Seattle; TU Darmstadt; Juelich Supercomputing Center (JSC), Research Center Juelich (FZJ); UC Berkeley
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: multi-modal learning;large-scale datasets;reproducibility;open source;CLIP
Decision: Highlighted
Title: Learning to Branch with Tree MDPs
Authors: Lara Scavuzzo, Feng Chen, Didier Chetelat, Maxime Gasse, Andrea Lodi, Neil Yorke-Smith, Karen Aardal
Affiliations: Mila, Polytechnique Montréal; Polytechnique Montréal; Delft University of Technology; Jacobs Technion-Cornell Institute, Cornell Tech and Technion - IIT
Conference: nips 2022 (main track)
Keywords: reinforcement learning;mixed integer programming;markov decision process
Decision: Poster
Title: Masked Autoencoders that Listen
Authors: Po-Yao Huang, Hu Xu, Juncheng Li, Alexei Baevski, Michael Auli, Wojciech Galuba, Florian Metze, Christoph Feichtenhofer
Affiliations: Meta AI; Carnegie Mellon University
Conference: nips 2022 (main track)
Keywords: self-supervised learning;audio representation learning;audio classification
Decision: Poster
Title: A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP
Authors: Fan Chen, Junyu Zhang, Zaiwen Wen
Affiliations: Beijing International Center for Mathematical Research, Center For Machine Learning Research, Peking University; Department of Industrial Systems Engineering and Management, National University of Singapore; School of Mathematics, Peking University
Conference: nips 2022 (main track)
Keywords: reinforcement learning theory;offline reinforcement learning;statistical optimality;safe reinforcement learning;primal-dual
Decision: Poster
Title: A Benchmark for Compositional Visual Reasoning
Authors: Aimen Zerroug, Mohit Vaishnav, Julien Colin, Sebastian Musslick, Thomas Serre
Affiliations: Artificial and Natural Intelligence Toulouse Institute, Université de Toulouse, France; Carney Institute for Brain Science, Dept. of Cognitive Linguistic & Psychological Sciences, Brown University, Providence, RI 02912; Centre de Recherche Cerveau et Cognition, CNRS, Université de Toulouse, France; Artificial and Natural Intelligence Toulouse Institute, Université de Toulouse, France; Carney Institute for Brain Science, Dept. of Cognitive Linguistic & Psychological Sciences, Brown University, Providence, RI 02912; Carney Institute for Brain Science, Dept. of Cognitive Linguistic & Psychological Sciences, Brown University, Providence, RI 02912
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Abstract Visual Reasoning;Compositionality;Data Efficiency;Transfer learning
Decision: Poster
Title: EcoFormer: Energy-Saving Attention with Linear Complexity
Authors: Jing Liu, Zizheng Pan, Haoyu He, Jianfei Cai, Bohan Zhuang
Affiliations: Department of Data Science & AI, Monash University, Australia
Conference: nips 2022 (main track)
Keywords: Energy-efficient Attention;Linear Complexity;Transformer;Binarization;Hashing
Decision: Poster
Title: Batch Multi-Fidelity Active Learning with Budget Constraints
Authors: Shibo Li, Jeff M Phillips, Xin Yu, Robert Kirby, Shandian Zhe
Affiliations: School of Computing, University of Utah
Conference: nips 2022 (main track)
Keywords: Multi-Fidelity Active Learning;Budget Constrint;High-dimensional Outputs;Physical Simulation;Computational Physics
Decision: Poster
Title: Model Zoos: A Dataset of Diverse Populations of Neural Network Models
Authors: Konstantin Schürholt, Diyar Taskiran, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
Affiliations: AIML Lab, School of Computer Science, University of St.Gallen; Institut de Robòtica i Informàtica Industrial, Universitat Politècnica de Catalunya; Samsung - SAIT AI Lab, Montreal
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Model Zoo;Population;Neural Networks;Model Analysis
Decision: Poster
Title: Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability
Authors: Whiyoung Jung, Myungsik Cho, Jongeui Park, Youngchul Sung
Affiliations: School of Electrical Engineering, KAIST, Daejeon 34141, Republic of Korea
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;Reinforcement Learning Theory;Constrained Reinforcement Learning;Safe Reinforcement Learning
Decision: Poster
Title: Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations
Authors: Miao Zhang, Wei Huang, Bin Yang
Affiliations: Harbin Institute of Technology (Shenzhen), Aalborg University; RIKEN AIP; East China Normal University
Conference: nips 2022 (main track)
Keywords: neural architecture search;influence function;operation selection
Decision: Poster
Title: TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction
Authors: Wei Lu, Qifeng Wu, Jixian Zhang, Jiahua Rao, Chengtao Li, Shuangjia Zheng
Affiliations: Sun Yat-sen University; Fudan University; Galixir Technologies; Galixir Technologies, Sun Yat-sen University
Conference: nips 2022 (main track)
Keywords: drug-protein interaction;protein-ligand docking;molecular docking;drug discovery;proteins;molecules;geometry deep learning;trigonometry;deep learning;neural networks
Decision: Poster
Title: GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations
Authors: Enmao Diao, Jie Ding, Vahid Tarokh
Affiliations: School of Statistics, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA; Department of Electrical and Computer Engineering, Duke University, Durhm, NC 27705, USA
Conference: nips 2022 (main track)
Keywords: Assisted Learning;Decentralized Machine Learning
Decision: Poster
Title: OpenXAI: Towards a Transparent Evaluation of Model Explanations
Authors: Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, Himabindu Lakkaraju
Affiliations: Harvard University; Carnegie Mellon University; University of Tubingen
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: explainable artificial intelligence;benchmark;evaluation;leaderboard
Decision: Poster
Title: Evolution of Neural Tangent Kernels under Benign and Adversarial Training
Authors: Noel Loo, Ramin Hasani, Alexander Amini, Daniela Rus
Affiliations: Computer Science and Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology (MIT)
Conference: nips 2022 (main track)
Keywords: Neural Tangent Kernel;Adversarial Training;generalization;robustness
Decision: Poster
Title: On Non-Linear operators for Geometric Deep Learning
Authors: Grégoire Sergeant-Perthuis, Jakob Maier, Joan Bruna, Edouard Oyallon
Affiliations: Courant Institute of Mathematical Sciences, New York University, New York; INRIA, DI/ENS, PSL Paris; Univ. Artois, UR 2462, Laboratoire de Mathématiques de Lens (LML), F-62300 Lens, France & OURAGAN team, Inria Paris & IMJ-PRG Paris, France.; MLIA - Machine Learning and Information Access, Sorbonne Université, CNRS, ISIR, F-75005 Paris, France
Conference: nips 2022 (main track)
Keywords: Manifold;Deep learning;Diffeomorphisms
Decision: Poster
Title: A Quadrature Rule combining Control Variates and Adaptive Importance Sampling
Authors: Rémi Leluc, François Portier, Johan Segers, Aigerim Zhuman
Affiliations: CREST, ENSAI, France; LTCI, Télécom Paris, Institut Polytechnique de Paris, France; LIDAM, ISBA, UCLouvain, Belgium
Conference: nips 2022 (main track)
Keywords: Monte Carlo;quadrature rule;control variates;adaptive importance sampling;Bayesian inference
Decision: Poster
Title: Towards Understanding the Mixture-of-Experts Layer in Deep Learning
Authors: Zixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, Yuanzhi Li
Affiliations: Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095, USA; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Conference: nips 2022 (main track)
Decision: Poster
Title: Improving Generative Adversarial Networks via Adversarial Learning in Latent Space
Authors: Yang Li, Yichuan Mo, Liangliang Shi, Junchi Yan
Affiliations: Key Lab. of Machine Perception (MoE), School of Intelligence Science and Technology, Peking University; Department of Computer Science and Engineering, MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University
Conference: nips 2022 (main track)
Keywords: Generative Adversarial Networks;Adversarial Learning;Latent Space
Decision: Poster
Title: Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
Authors: Renrui Zhang, Ziyu Guo, Peng Gao, Rongyao Fang, Bin Zhao, Dong Wang, Yu Qiao, Hongsheng Li
Affiliations: CUHK-SenseTime Joint Laboratory, The Chinese University of Hong Kong, Centre for Perceptual and Interactive Intelligence Limited; Shanghai AI Laboratory; CUHK-SenseTime Joint Laboratory, The Chinese University of Hong Kong
Conference: nips 2022 (main track)
Keywords: Masked autoencoders;self-supervised learning;3D point cloud pre-training
Decision: Poster
Title: Maximum Class Separation as Inductive Bias in One Matrix
Authors: Tejaswi Kasarla, Gertjan Burghouts, Max van Spengler, Elise van der Pol, Rita Cucchiara, Pascal Mettes
Affiliations: Microsoft Research AI4Science; TNO, Intelligent Imaging; University of Modena and Reggio Emilia; University of Amsterdam
Conference: nips 2022 (main track)
Keywords: maximum separation;inductive bias
Decision: Highlighted
Title: Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions
Authors: Saeed Masiha, Saber Salehkaleybar, Niao He, Negar Kiyavash, Patrick Thiran
Affiliations: Department of Computer Science, ETH, Zurich, Switzerland; School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland; College of Management of Technology, EPFL, Lausanne, Switzerland
Conference: nips 2022 (main track)
Keywords: Second-order methods;Stochastic optimization;Reinforcement learning;Gradient-dominated functions
Decision: Poster
Title: Trajectory Inference via Mean-field Langevin in Path Space
Authors: Lénaïc Chizat, Stephen Zhang, Matthieu Heitz, Geoffrey Schiebinger
Affiliations: Institute of mathematics, EPFL, Switzerland; University of Melbourne, Victoria, Australia; University of British Columbia, Canada
Conference: nips 2022 (main track)
Keywords: trajectory inference;path space;mean-field dynamics;interacting particle methods;Langevin algorithm;Wiener measure;entropic regularization;optimal transport;Schrödinger bridge
Decision: Poster
Title: HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks
Authors: Aibek Alanov, Vadim Titov, Dmitry Vetrov
Affiliations: HSE University, AIRI, Moscow, Russia; MIPT, AIRI, Moscow, Russia
Conference: nips 2022 (main track)
Keywords: GAN;StyleGAN;Transfer Learning;Domain Adaptation;CLIP;HyperNetwork
Decision: Poster
Title: Sparse Hypergraph Community Detection Thresholds in Stochastic Block Model
Authors: Erchuan Zhang, David Suter, Giang Truong, Syed Zulqarnain Gilani
Affiliations: School of Science, Edith Cowan University
Conference: nips 2022 (main track)
Keywords: community detection;hypergraph stochastic block model;Kesten-Stigun threshold
Decision: Poster
Title: Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions
Authors: Haanvid Lee, Jongmin Lee, Yunseon Choi, Wonseok Jeon, Byung-Jun Lee, Yung-Kyun Noh, Kee-Eung Kim
Affiliations: Hanyang Univ., KIAS; Korea Univ., Gauss Labs Inc.; KAIST; Mila/McGill University (Currently employed by Qualcomm Technologies Inc.); UC Berkeley
Conference: nips 2022 (main track)
Keywords: Off-Policy Evaluation;Contextual Bandit;Continuous Actions;Importance Sampling;Local Kernel Metric Learning
Decision: Poster
Title: The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning
Authors: Yunhao Tang, Remi Munos, Mark Rowland, Bernardo Avila Pires, Will Dabney, Marc Bellemare
Affiliations: DeepMind; Google Brain
Conference: nips 2022 (main track)
Keywords: Distributional Reinforcement Learning;Off-policy Learning
Decision: Poster
Title: Video compression dataset and benchmark of learning-based video-quality metrics
Authors: Anastasia Antsiferova, Sergey Lavrushkin, Maksim Smirnov, Aleksandr Gushchin, Dmitriy Vatolin, Dmitriy Kulikov
Affiliations: Lomonosov Moscow State University; ISP RAS Research Center for Trusted Artificial Intelligence; MSU Institute for Artificial Intelligence
Conference: nips 2022 (Datasets & Benchmarks track)
Decision: Poster
Title: PeRFception: Perception using Radiance Fields
Authors: Yoonwoo Jeong, Seungjoo Shin, Junha Lee, Chris Choy, Anima Anandkumar, Minsu Cho, Jaesik Park
Affiliations: POSTECH; NVIDIA; Caltech
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: dataset;neural radiance field;image classification;3D shape classification;3D semantic segmentation
Decision: Poster
Title: Online Algorithms for the Santa Claus Problem
Authors: Max Springer, MohammadTaghi Hajiaghayi, Debmalya Panigrahi, Mohammad Khani
Affiliations: Department of Computer Science, University of Maryland, College Park, MD; Department of Mathematics, University of Maryland, College Park, MD; Microsoft Bing Ads, Microsoft Corporation, Redmond, WA; Department of Computer Science, Duke University, Durham, NC
Conference: nips 2022 (main track)
Keywords: fair allocation;online algorithm;maxmin;random order model;optimal competitive ratio
Decision: Poster
Title: Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering
Authors: Lingxiao Huang, Zhize Li, Jialin Sun, Haoyu Zhao
Affiliations: Princeton Univeristy; Carnegie Mellon University; Fudan University; Nanjing University
Conference: nips 2022 (main track)
Keywords: vertical federated learning;coreset;linear regression;k-means clustering
Decision: Poster
Title: Knowledge-Aware Bayesian Deep Topic Model
Authors: Dongsheng Wang, Yi.shi Xu, Miaoge Li, Zhibin Duan, Chaojie Wang, Bo Chen, Mingyuan Zhou
Affiliations: McCombs School of Business, The University of Texas at Austin, Austin, TX 78712, USA; National Laboratory of Radar Signal Processing, Xidian University, Xi’an, Shanxi 710071, China
Conference: nips 2022 (main track)
Keywords: Topic modeling;hierarchical document representation;knowledge graph;WordNet
Decision: Poster
Title: CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains
Authors: Bonifaz Stuhr, Johann Haselberger, Julian Gebele
Affiliations: Technische Universität Berlin; Autonomous University of Barcelona; University of Applied Science Kempten
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: unsupervised;domain adaptation;lane detection;benchmark;dataset
Decision: Poster
Title: Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning
Authors: Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes
Affiliations: Microsoft Research, Montreal, Canada; McGill University, Montreal, Canada; Microsoft Research, New York, USA; University of Montreal, Montreal, Canada; Harvard University, Cambridge, USA; Beijing Institute of Technology, Beijing, China
Conference: nips 2022 (main track)
Keywords: goal conditioned RL;discrete bottleneck;vq-vae;self-supervised representations;hierarchical RL
Decision: Poster
Title: High-Order Pooling for Graph Neural Networks with Tensor Decomposition
Authors: Chenqing Hua, Guillaume Rabusseau, Jian Tang
Affiliations: Université de Montréal; DIRO; Mila; CIFAR AI Chair; HEC Montréal; Mila; CIFAR AI Chair; McGill University; Mila; CIFAR AI Chair
Conference: nips 2022 (main track)
Keywords: Tensor;Graph Neural Networks;Node Classification;Graph Classification;CP decomposition
Decision: Poster
Title: VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation
Authors: Kaizhi Zheng, Xiaotong Chen, Odest Chadwicke Jenkins, Xin Wang
Affiliations: University of California, Santa Cruz; University of Michigan, Ann Arbor
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Vision and Language;Robotics;Multimodal Learning
Decision: Poster
Title: Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
Authors: Pau de Jorge Aranda, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip Torr, Gregory Rogez, Puneet Dokania
Affiliations: University of Oxford; University of Oxford, Five AI Ltd.; ETH Zürich, ETH AI Center; NAVER LABS Europe; University of Oxford, NAVER LABS Europe
Conference: nips 2022 (main track)
Keywords: single-step adversarial training;catastrophic overfitting;FGSM;efficient adversarial training;fast adversarial training
Decision: Poster
Title: Debiased Self-Training for Semi-Supervised Learning
Authors: Baixu Chen, Junguang Jiang, Ximei Wang, Pengfei Wan, Jianmin Wang, Mingsheng Long
Affiliations: School of Software, BNRist, Tsinghua University, China; Y-tech, Kuaishou Technology; Not provided in the text
Conference: nips 2022 (main track)
Keywords: Deep learning;Semi-supervised learning;Self-training;Debiased pseudo labeling
Decision: Highlighted
Title: A contrastive rule for meta-learning
Authors: Nicolas Zucchet, Simon Schug, Johannes von Oswald, Dominic Zhao, João Sacramento
Affiliations: Department of Computer Science, ETH Zürich; Institute of Neuroinformatics, University of Zürich & ETH Zürich
Conference: nips 2022 (main track)
Keywords: meta-learning;meta-plasticity;synaptic consolidation;biologically-plausible learning;equilibrium propagation;complementary learning systems
Decision: Poster
Title: Deep Fourier Up-Sampling
Authors: man zhou, Hu Yu, Jie Huang, Feng Zhao, Jinwei Gu, Chen Change Loy, Deyu Meng, Chongyi Li
Affiliations: University of Science and Technology of China, China; Hefei Institute of Physical Science, Chinese Academy of Sciences, China and University of Science and Technology of China, China; SenseBrain Technology (SenseTime Research USA), USA; S-Lab, Nanyang Technological University, Singapore; Xi’an Jiaotong University, China and Pazhou Laboratory (Huangpu), China
Conference: nips 2022 (main track)
Keywords: Image restoration;image de-raining;image de-hazing;image super-resolution
Decision: Poster