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
Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis
Atsushi Nitanda, Denny Wu, Taiji Suzuki
Machine Learning
日本大学: 九州工業大学 / 東京大学
2021 · NeurIPS
Partition and Code: learning how to compress graphs
Giorgos Bouritsas, Andreas Loukas, Nikolaos Karalias, Michael Bronstein
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks
Calvin Tsay, Jan Kronqvist, Alexander Thebelt, Ruth Misener
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Passive attention in artificial neural networks predicts human visual selectivity
Thomas Langlois, Haicheng Zhao, Erin Grant, Ishita Dasgupta, Tom Griffiths, Nori Jacoby
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
PatchGame: Learning to Signal Mid-level Patches in Referential Games
Kamal Gupta, Gowthami Somepalli, Anubhav Anubhav, Vinoj Yasanga Jayasundara Magalle Hewa, Matthias Zwicker, Abhinav Shrivastava
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Pay Attention to MLPs
Hanxiao Liu, Zihang Dai, David So, Quoc V Le
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling
Hongyu Gong, Yun Tang, Juan Pino, Xian Li
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Bowen Cheng, Alex Schwing, Alexander Kirillov
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
Anish Agarwal, Abdullah Alomar, Varkey Alumootil, Devavrat Shah, Dennis Shen, Zhi Xu, Cindy Yang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Perceptual Score: What Data Modalities Does Your Model Perceive?
Itai Gat, Idan Schwartz, Alex Schwing
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Periodic Activation Functions Induce Stationarity
Lassi Meronen, Martin Trapp, Arno Solin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning
Robin Winter, Frank Noe, Djork-Arné Clevert
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Permuton-induced Chinese Restaurant Process
Masahiro Nakano, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, naonori ueda
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Personalized Federated Learning With Gaussian Processes
Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, Ethan Fetaya
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Perturb-and-max-product: Sampling and learning in discrete energy-based models
Miguel Lazaro-Gredilla, Antoine Dedieu, Dileep George
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Perturbation Theory for the Information Bottleneck
Vudtiwat Ngampruetikorn, David J Schwab
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems
Yiheng Lin, Yang Hu, Guanya Shi, Haoyuan Sun, Guannan Qu, Adam Wierman
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL
Minshuo Chen, Yan Li, Ethan Wang, Zhuoran Yang, Zhaoran Wang, Tuo Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
PettingZoo: Gym for Multi-Agent Reinforcement Learning
J KTerry, Benjamin Black, Nathaniel Grammel, Mario Jayakumar, Ananth Hari, Ryan Sullivan, Luis S Santos, Clemens Dieffendahl, Caroline Horsch, Rodrigo Perez-Vicente, Niall Williams, Yashas Lokesh, Praveen Ravi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Photonic Differential Privacy with Direct Feedback Alignment
Ruben Ohana, Hamlet Medina, Julien Launay, Alessandro Cappelli, Iacopo Poli, Liva Ralaivola, Alain Rakotomamonjy
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling
Niv Giladi, Zvika Ben-Haim, Sella Nevo, Yossi Matias, Daniel Soudry
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
Naoya Takeishi, Alexandros Kalousis
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
PiRank: Scalable Learning To Rank via Differentiable Sorting
Robin Swezey, Aditya Grover, Bruno Charron, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Pipeline Combinators for Gradual AutoML
Guillaume Baudart, Martin Hirzel, Kiran Kate, Parikshit Ram, Avi Shinnar, Jason Tsay
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Piper: Multidimensional Planner for DNN Parallelization
Jakub M Tarnawski, Deepak Narayanan, Amar Phanishayee
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Planning from Pixels in Environments with Combinatorially Hard Search Spaces
Marco Bagatella, Miroslav Olšák, Michal Rolínek, Georg Martius
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Play to Grade: Testing Coding Games as Classifying Markov Decision Process
Allen Nie, Emma Brunskill, Chris Piech
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
Tao Yu, Cuiling Lan, Wenjun Zeng, Mingxiao Feng, Zhizheng Zhang, Zhibo Chen
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Pointwise Bounds for Distribution Estimation under Communication Constraints
Wei-Ning Chen, Peter Kairouz, Ayfer Ozgur
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
PolarStream: Streaming Object Detection and Segmentation with Polar Pillars
Qi Chen, Sourabh Vora, Oscar Beijbom
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning
Tengyang Xie, Nan Jiang, Huan Wang, Caiming Xiong, Yu Bai
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Policy Learning Using Weak Supervision
Jingkang Wang, Hongyi Guo, Zhaowei Zhu, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses
Haipeng Luo, Chen-Yu Wei, Chung-Wei Lee
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Pooling by Sliced-Wasserstein Embedding
Navid Naderializadeh, Joseph F Comer, Reed Andrews, Heiko Hoffmann, Soheil Kolouri
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
PortaSpeech: Portable and High-Quality Generative Text-to-Speech
Yi Ren, Jinglin Liu, Zhou Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Post-Contextual-Bandit Inference
Aurelien Bibaut, Maria Dimakopoulou, Nathan Kallus, Antoine Chambaz, Mark van der Laan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Post-Training Quantization for Vision Transformer
Zhenhua Liu, Yunhe Wang, Kai Han, Wei Zhang, Siwei Ma, Wen Gao
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Post-Training Sparsity-Aware Quantization
Gil Shomron, Freddy Gabbay, Samer Kurzum, Uri Weiser
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Post-processing for Individual Fairness
Felix Petersen, Debarghya Mukherjee, Yuekai Sun, Mikhail Yurochkin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Posterior Collapse and Latent Variable Non-identifiability
Yixin Wang, David M. Blei, John P. Cunningham
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Posterior Meta-Replay for Continual Learning
Christian Henning, Maria Cervera, Francesco D'Angelo, Johannes von Oswald, Regina Traber, Benjamin Ehret, Seijin Kobayashi, Benjamin F. Grewe, João Sacramento
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Powerpropagation: A sparsity inducing weight reparameterisation
Jonathan Schwarz, Siddhant Jayakumar, Razvan Pascanu, Peter E Latham, Yee W. Teh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient
David Applegate, Mateo Diaz, Oliver Hinder, Haihao Lu, Miles Lubin, Brendan O'Donoghue, Warren Schudy
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Practical Near Neighbor Search via Group Testing
Joshua Engels, Benjamin Coleman, Anshumali Shrivastava
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers
Julian Katz-Samuels, Blake Mason, Kevin G. Jamieson, Rob Nowak
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Pragmatic Image Compression for Human-in-the-Loop Decision-Making
Sid Reddy, Anca Dragan, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Precise characterization of the prior predictive distribution of deep ReLU networks
Lorenzo Noci, Gregor Bachmann, Kevin Roth, Sebastian Nowozin, Thomas Hofmann
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
Jialun Zhang, Salar Fattahi, Richard Y Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Predicting Deep Neural Network Generalization with Perturbation Response Curves
Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Predicting Event Memorability from Contextual Visual Semantics
Qianli Xu, Fen Fang, Ana Molino, Vigneshwaran Subbaraju, Joo-Hwee Lim
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Predicting Molecular Conformation via Dynamic Graph Score Matching
Shitong Luo, Chence Shi, Minkai Xu, Jian Tang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Predicting What You Already Know Helps: Provable Self-Supervised Learning
Jason Lee, Qi Lei, Nikunj Saunshi, JIACHENG ZHUO
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics
Bhavin Choksi, Milad Mozafari, Callum Biggs O'May, B. ADOR, Andrea Alamia, Rufin VanRullen
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning
Neehar Peri, Michael Curry, Samuel Dooley, John Dickerson
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Preserved central model for faster bidirectional compression in distributed settings
Constantin Philippenko, Aymeric Dieuleveut
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Pretraining Representations for Data-Efficient Reinforcement Learning
Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch, Ankesh Anand, Laurent Charlin, R Devon Hjelm, Philip Bachman, Aaron C. Courville
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Prior-independent Dynamic Auctions for a Value-maximizing Buyer
Yuan Deng, Hanrui Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Private Non-smooth ERM and SCO in Subquadratic Steps
Janardhan Kulkarni, Yin Tat Lee, Daogao Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Private and Non-private Uniformity Testing for Ranking Data
Róbert Busa-Fekete, Dimitris Fotakis, Emmanouil Zampetakis
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Private learning implies quantum stability
Yihui Quek, Srinivasan Arunachalam, John A Smolin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Privately Learning Mixtures of Axis-Aligned Gaussians
Ishaq Aden-Ali, Hassan Ashtiani, Christopher Liaw
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Privately Learning Subspaces
Vikrant Singhal, Thomas Steinke
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Privately Publishable Per-instance Privacy
Rachel Redberg, Yu-Xiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
ProTo: Program-Guided Transformer for Program-Guided Tasks
Zelin Zhao, Karan Samel, Binghong Chen, lee song
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Probabilistic Attention for Interactive Segmentation
Prasad Gabbur, Manjot Bilkhu, Javier R. Movellan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan Reddy
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Probabilistic Forecasting: A Level-Set Approach
Hilaf Hasson, Bernie Wang, Tim Januschowski, Jan Gasthaus
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Probabilistic Margins for Instance Reweighting in Adversarial Training
qizhou wang, Feng Liu, Bo Han, Tongliang Liu, Chen Gong, Gang Niu, Mingyuan Zhou, Masashi Sugiyama
Machine Learning
日本大学: 東京大学
2021 · NeurIPS
Probabilistic Tensor Decomposition of Neural Population Spiking Activity
Hugo Soulat, Sepiedeh Keshavarzi, Troy Margrie, Maneesh Sahani
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Probabilistic Transformer For Time Series Analysis
Binh Tang, David S Matteson
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Probability Paths and the Structure of Predictions over Time
Zhiyuan Jerry Lin, Hao Sheng, Sharad Goel
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training
Hongwei Xue, Yupan Huang, Bei Liu, Houwen Peng, Jianlong Fu, Houqiang Li, Jiebo Luo
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets
Irene Solaiman, Christy Dennison
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent
Xingchao Liu, Xin Tong, Qiang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments
Yichen Yang, Jeevana Priya Inala, Osbert Bastani, Yewen Pu, Armando Solar-Lezama, Martin Rinard
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Progressive Coordinate Transforms for Monocular 3D Object Detection
Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, Xiangyang Xue
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Progressive Feature Interaction Search for Deep Sparse Network
Chen Gao, Yinfeng Li, Quanming Yao, Depeng Jin, Yong Li
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Projected GANs Converge Faster
Axel Sauer, Kashyap Chitta, Jens Müller, Andreas Geiger
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Proper Value Equivalence
Christopher Grimm, Andre Barreto, Greg Farquhar, David Silver, Satinder P. Singh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
Yaqing Wang, Abulikemu Abuduweili, Quanming Yao, Dejing Dou
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Proportional Participatory Budgeting with Additive Utilities
Dominik Peters, Grzegorz Pierczyński, Piotr Skowron
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
Lei Ke, Xia Li, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning
Andrea Zanette, Martin J Wainwright, Emma Brunskill
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Jeff Z. HaoChen, Colin Wei, Adrien Gaidon, Tengyu Ma
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature
Kefan Dong, Jiaqi Yang, Tengyu Ma
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Provable Representation Learning for Imitation with Contrastive Fourier Features
Ofir Nachum, Mengjiao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning
Guanlin Liu, Lifeng LAI
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data
Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Provably Efficient Reinforcement Learning with Linear Function Approximation under Adaptivity Constraints
Tianhao Wang, Dongruo Zhou, Quanquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Provably Faster Algorithms for Bilevel Optimization
Junjie Yang, Kaiyi Ji, Yingbin Liang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Provably Strict Generalisation Benefit for Invariance in Kernel Methods
Bryn Elesedy
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Provably efficient multi-task reinforcement learning with model transfer
Chicheng Zhang, Zhi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Provably efficient, succinct, and precise explanations
Guy Blanc, Jane Lange, Li-Yang Tan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent
Spencer Frei, Quanquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence
Antoine Labatie, Dominic Masters, Zach Eaton-Rosen, Carlo Luschi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Pruning Randomly Initialized Neural Networks with Iterative Randomization
Daiki Chijiwa, Shin'ya Yamaguchi, Yasutoshi Ida, Kenji Umakoshi, Tomohiro INOUE
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Pseudo-Spherical Contrastive Divergence
Lantao Yu, Jiaming Song, Yang Song, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Pure Exploration in Kernel and Neural Bandits
Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, Robert Nowak
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples
Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes
Sanghyun Hong, Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Tudor Dumitras
Machine Learning
日本大学: 関与なし（対象大学）