NeurIPS

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

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Machine Learning

2021 · 2,334 papers

このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。

2021 · NeurIPS
ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs
Zhanqiu Zhang, Jie Wang, Jiajun Chen, Shuiwang Ji, Feng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Concentration inequalities under sub-Gaussian and sub-exponential conditions
Andreas Maurer, Massimiliano Pontil
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Conditional Generation Using Polynomial Expansions
Grigorios Chrysos, Markos Georgopoulos, Yannis Panagakis
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems
Jiayang Xu, Aniruddhe Pradhan, Karthikeyan Duraisamy
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Conditioning Sparse Variational Gaussian Processes for Online Decision-making
Wesley J Maddox, Samuel Stanton, Andrew G Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality
Songyuan Zhang, ZHANGJIE CAO, Dorsa Sadigh, Yanan Sui
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Confident Anchor-Induced Multi-Source Free Domain Adaptation
Jiahua Dong, Zhen Fang, Anjin Liu, Gan Sun, Tongliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Conflict-Averse Gradient Descent for Multi-task learning
Bo Liu, Xingchao Liu, Xiaojie Jin, Peter Stone, Qiang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Conformal Bayesian Computation
Edwin Fong, Chris C Holmes
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Conformal Prediction using Conditional Histograms
Matteo Sesia, Yaniv Romano
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Conformal Time-series Forecasting
Kamile Stankeviciute, Ahmed M. Alaa, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Conic Blackwell Algorithm: Parameter-Free Convex-Concave Saddle-Point Solving
Julien Grand-Clément, Christian Kroer
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Tianhe Yu, Aviral Kumar, Yevgen Chebotar, Karol Hausman, Sergey Levine, Chelsea Finn
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Conservative Offline Distributional Reinforcement Learning
Yecheng Ma, Dinesh Jayaraman, Osbert Bastani
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Consistency Regularization for Variational Auto-Encoders
Samarth Sinha, Adji Bousso Dieng
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers
Tommaso d'Orsi, Chih-Hung Liu, Rajai Nasser, Gleb Novikov, David Steurer, Stefan Tiegel
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Consistent Non-Parametric Methods for Maximizing Robustness
Robi Bhattacharjee, Kamalika Chaudhuri
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes
Sara Sangalli, Ertunc Erdil, Andeas Hötker, Olivio Donati, Ender Konukoglu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Constrained Robust Submodular Partitioning
Shengjie Wang, Tianyi Zhou, Chandrashekhar Lavania, Jeff A Bilmes
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Constrained Two-step Look-Ahead Bayesian Optimization
Yunxiang Zhang, Xiangyu Zhang, Peter Frazier
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Container: Context Aggregation Networks
peng gao, Jiasen Lu, hongsheng Li, Roozbeh Mottaghi, Aniruddha Kembhavi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms
Sreenivas Gollapudi, Guru Guruganesh, Kostas Kollias, Pasin Manurangsi, Renato Leme, Jon Schneider
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Contextual Similarity Aggregation with Self-attention for Visual Re-ranking
Jianbo Ouyang, Hui Wu, Min Wang, Wengang Zhou, Houqiang Li
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Continual Auxiliary Task Learning
Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Continual Learning via Local Module Composition
Oleksiy Ostapenko, Pau Rodriguez, Massimo Caccia, Laurent Charlin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
Maciej Wołczyk, Michał Zając, Razvan Pascanu, Łukasz Kuciński, Piotr Miłoś
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms
Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Hadrien Hendrikx, Pierre Gaillard, Laurent Massoulié, Adrien Taylor
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Continuous Doubly Constrained Batch Reinforcement Learning
Rasool Fakoor, Jonas W Mueller, Kavosh Asadi, Pratik Chaudhari, Alexander J Smola
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Continuous Latent Process Flows
Ruizhi Deng, Marcus A Brubaker, Greg Mori, Andreas Lehrmann
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Continuous Mean-Covariance Bandits
Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Continuous vs. Discrete Optimization of Deep Neural Networks
Omer Elkabetz, Nadav Cohen
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Continuous-time edge modelling using non-parametric point processes
Xuhui Fan, Bin Li, Feng Zhou, Scott SIsson
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
Aadarsh Sahoo, Rutav Shah, Rameswar Panda, Kate Saenko, Abir Das
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Contrastive Active Inference
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels
Sheng Wan, Yibing Zhan, Liu Liu, Baosheng Yu, Shirui Pan, Chen Gong
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Contrastive Laplacian Eigenmaps
Hao Zhu, Ke Sun, Peter Koniusz
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Contrastive Learning for Neural Topic Model
Thong Nguyen, Anh Tuan Luu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Contrastive Learning of Global and Local Video Representations
shuang ma, Zhaoyang Zeng, Daniel McDuff, Yale Song
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Contrastive Reinforcement Learning of Symbolic Reasoning Domains
Gabriel Poesia, WenXin Dong, Noah Goodman
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Contrastively Disentangled Sequential Variational Autoencoder
Junwen Bai, Weiran Wang, Carla P. Gomes
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Control Variates for Slate Off-Policy Evaluation
Nikos Vlassis, Ashok Chandrashekar, Fernando Amat, Nathan Kallus
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Controllable and Compositional Generation with Latent-Space Energy-Based Models
Weili Nie, Arash Vahdat, Anima Anandkumar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Controlled Text Generation as Continuous Optimization with Multiple Constraints
Sachin Kumar, Eric Malmi, Aliaksei Severyn, Yulia Tsvetkov
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Controlling Neural Networks with Rule Representations
Sungyong Seo, Sercan Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance
Hongjian Wang, Mert Gurbuzbalaban, Lingjiong Zhu, Umut Simsekli, Murat A Erdogdu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights
Ganlin Song, Ruitu Xu, John D. Lafferty
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Convergence of adaptive algorithms for constrained weakly convex optimization
Ahmet Alacaoglu, Yura Malitsky, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Convex Polytope Trees
Mohammadreza Armandpour, Ali Sadeghian, Mingyuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Convex-Concave Min-Max Stackelberg Games
Denizalp Goktas, Amy Greenwald
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training
Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback
Lin Yang, Yu-Zhen Janice Chen, Stephen Pasteris, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Coordinated Proximal Policy Optimization
Zifan Wu, Chao Yu, Deheng Ye, Junge Zhang, haiyin piao, Hankz Hankui Zhuo
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Coresets for Classification – Simplified and Strengthened
Tung Mai, Cameron Musco, Anup Rao
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Coresets for Clustering with Missing Values
Vladimir Braverman, Shaofeng Jiang, Robert Krauthgamer, Xuan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Coresets for Decision Trees of Signals
Ibrahim Jubran, Ernesto Evgeniy Sanches Shayda, Ilan I Newman, Dan Feldman
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Coresets for Time Series Clustering
Lingxiao Huang, K Sudhir, Nisheeth Vishnoi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
Miklos Racz, Anirudh Sridhar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Corruption Robust Active Learning
Yifang Chen, Simon S Du, Kevin G. Jamieson
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction
Leo Lebrat, Rodrigo Santa Cruz, Frederic de Gournay, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Cortico-cerebellar networks as decoupling neural interfaces
Joseph Pemberton, Ellen Boven, Richard Apps, Rui Ponte Costa
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Counterbalancing Learning and Strategic Incentives in Allocation Markets
Jamie Kang, Faidra Monachou, Moran Koren, Itai Ashlagi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Counterexample Guided RL Policy Refinement Using Bayesian Optimization
Briti Gangopadhyay, Pallab Dasgupta
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Counterfactual Explanations Can Be Manipulated
Dylan Slack, Anna Hilgard, Himabindu Lakkaraju, Sameer Singh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Counterfactual Explanations in Sequential Decision Making Under Uncertainty
Stratis Tsirtsis, Abir De, Manuel Rodriguez
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Counterfactual Invariance to Spurious Correlations in Text Classification
Victor Veitch, Alexander D'Amour, Steve Yadlowsky, Jacob Eisenstein
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Counterfactual Maximum Likelihood Estimation for Training Deep Networks
Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Coupled Gradient Estimators for Discrete Latent Variables
Zhe Dong, Andriy Mnih, George Tucker
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation
Zhiding Yu, Rui Huang, Wonmin Byeon, Sifei Liu, Guilin Liu, Thomas Breuel, Anima Anandkumar, Jan Kautz
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
Gavin Brown, Marco Gaboardi, Adam Smith, Jonathan Ullman, Lydia Zakynthinou
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Credal Self-Supervised Learning
Julian Lienen, Eyke Hüllermeier
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Credit Assignment Through Broadcasting a Global Error Vector
David Clark, L F Abbott, Sueyeon Chung
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Credit Assignment in Neural Networks through Deep Feedback Control
Alexander Meulemans, Matilde Tristany Farinha, Javier Garcia Ordonez, Pau Vilimelis Aceituno, João Sacramento, Benjamin F. Grewe
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning
Xiong-Hui Chen, Shengyi Jiang, Feng Xu, Zongzhang Zhang, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Cross-view Geo-localization with Layer-to-Layer Transformer
Hongji Yang, Xiufan Lu, Yingying Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
CrypTen: Secure Multi-Party Computation Meets Machine Learning
Brian Knott, Shobha Venkataraman, Awni Hannun, Shubho Sengupta, Mark Ibrahim, Laurens van der Maaten
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Curriculum Design for Teaching via Demonstrations: Theory and Applications
Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Curriculum Disentangled Recommendation with Noisy Multi-feedback
Hong Chen, Yudong Chen, Xin Wang, Ruobing Xie, Rui Wang, Feng Xia, Wenwu Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Curriculum Learning for Vision-and-Language Navigation
Jiwen Zhang, zhongyu wei, Jianqing Fan, Jiajie Peng
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Curriculum Offline Imitating Learning
Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Cycle Self-Training for Domain Adaptation
Hong Liu, Jianmin Wang, Mingsheng Long
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation
Abhishek Sinha, Jiaming Song, Chenlin Meng, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer
Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
DNN-based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel
Benjamin Dupuis, Arthur Jacot
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages
Marie-Anne Lachaux, Baptiste Roziere, Marc Szafraniec, Guillaume Lample
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
DOCTOR: A Simple Method for Detecting Misclassification Errors
Federica Granese, Marco Romanelli, Daniele Gorla, Catuscia Palamidessi, Pablo Piantanida
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
Yi Xu, Jiandong Ding, Lu Zhang, Shuigeng Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
DRIVE: One-bit Distributed Mean Estimation
Shay Vargaftik, Ran Ben-Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
Zachary Teed, Jia Deng
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
DRONE: Data-aware Low-rank Compression for Large NLP Models
Patrick Chen, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed Chi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
Ke Sun, Yafei Wang, Yi Liu, yingnan zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dangers of Bayesian Model Averaging under Covariate Shift
Pavel Izmailov, Patrick Nicholson, Sanae Lotfi, Andrew G Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Data Augmentation Can Improve Robustness
Sylvestre-Alvise Rebuffi, Sven Gowal, Dan Andrei Calian, Florian Stimberg, Olivia Wiles, Timothy A Mann
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Data Sharing and Compression for Cooperative Networked Control
Jiangnan Cheng, Marco Pavone, Sachin Katti, Sandeep Chinchali, Ao Tang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Data driven semi-supervised learning
Maria-Florina F Balcan, Dravyansh Sharma
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective
Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Data-Efficient Instance Generation from Instance Discrimination
Ceyuan Yang, Yujun Shen, Yinghao Xu, Bolei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dataset Distillation with Infinitely Wide Convolutional Networks
Timothy Nguyen, Roman Novak, Lechao Xiao, Jaehoon Lee
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
De-randomizing MCMC dynamics with the diffusion Stein operator
Zheyang Shen, Markus Heinonen, Samuel Kaski
Machine Learning
日本大学: 関与なし（対象大学）