NeurIPS

2021–2025 確定版

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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
Neural Scene Flow Prior
Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems
Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi
Machine Learning
日本大学: 神戸大学 / 大阪大学
2021 · NeurIPS
Neural Tangent Kernel Maximum Mean Discrepancy
Xiuyuan Cheng, Yao Xie
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Neural Trees for Learning on Graphs
Rajat Talak, Siyi Hu, Lisa Peng, Luca Carlone
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose
Angtian Wang, Shenxiao Mei, Alan L. Yuille, Adam Kortylewski
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Neural optimal feedback control with local learning rules
Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan Sengupta, Dmitri B. Chklovskii
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
Mark Boss, Varun Jampani, Raphael Braun, Ce Liu, Jonathan Barron, Hendrik PA Lensch
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem
Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
NeuroMLR: Robust & Reliable Route Recommendation on Road Networks
Jayant Jain, Vrittika Bagadia, Sahil Manchanda, Sayan Ranu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Never Go Full Batch (in Stochastic Convex Optimization)
Idan Amir, Yair Carmon, Tomer Koren, Roi Livni
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update
Michal Derezinski, Jonathan Lacotte, Mert Pilanci, Michael W. Mahoney
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
No RL, No Simulation: Learning to Navigate without Navigating
Meera Hahn, Devendra Singh Chaplot, Shubham Tulsiani, Mustafa Mukadam, James M. Rehg, Abhinav Gupta
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
No Regrets for Learning the Prior in Bandits
Soumya Basu, Branislav Kveton, Manzil Zaheer, Csaba Szepesvari
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
No-Press Diplomacy from Scratch
Anton Bakhtin, David Wu, Adam Lerer, Noam Brown
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
No-regret Online Learning over Riemannian Manifolds
Xi Wang, Zhipeng Tu, Yiguang Hong, Yingyi Wu, Guodong Shi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Node Dependent Local Smoothing for Scalable Graph Learning
Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin CUI
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Noether Networks: meta-learning useful conserved quantities
Ferran Alet, Dylan Doblar, Allan Zhou, Josh Tenenbaum, Kenji Kawaguchi, Chelsea Finn
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Noether’s Learning Dynamics: Role of Symmetry Breaking in Neural Networks
Hidenori Tanaka, Daniel Kunin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising without Clean Images
Kwanyoung Kim, Jong Chul Ye
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks
Xingsi Dong, Tianhao Chu, Tiejun Huang, Zilong Ji, Si Wu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Noisy Recurrent Neural Networks
Soon Hoe Lim, N. Benjamin Erichson, Liam Hodgkinson, Michael W. Mahoney
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation
Yue Wang, Shaofeng Zou, Yi Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Non-Gaussian Gaussian Processes for Few-Shot Regression
Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemysław Spurek, Maciej Zieba
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm
Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Non-asymptotic Error Bounds for Bidirectional GANs
Shiao Liu, Yunfei Yang, Jian Huang, Yuling Jiao, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Non-asymptotic convergence bounds for Wasserstein approximation using point clouds
Quentin Mérigot, Filippo Santambrogio, Clément SARRAZIN
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation
Jogendra Nath Kundu, Siddharth Seth, Anirudh Jamkhandi, Pradyumna YM, Varun Jampani, Anirban Chakraborty, Venkatesh Babu R
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Nonparametric estimation of continuous DPPs with kernel methods
Michaël Fanuel, Rémi Bardenet
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Nonsmooth Implicit Differentiation for Machine-Learning and Optimization
Jérôme Bolte, Tam Le, Edouard Pauwels, Tony Silveti-Falls
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data
HaiYing Wang, Aonan Zhang, Chong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition
Yulin Wang, Rui Huang, Shiji Song, Zeyi Huang, Gao Huang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Not All Low-Pass Filters are Robust in Graph Convolutional Networks
Heng Chang, Yu Rong, Tingyang Xu, Yatao Bian, Shiji Zhou, Xin Wang, Junzhou Huang, Wenwu Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Novel Upper Bounds for the Constrained Most Probable Explanation Task
Tahrima Rahman, Sara Rouhani, Vibhav Gogate
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation
Bingchen Zhao, Kai Han
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
NovelD: A Simple yet Effective Exploration Criterion
Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E Gonzalez, Yuandong Tian
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Numerical Composition of Differential Privacy
Sivakanth Gopi, Yin Tat Lee, Lukas Wutschitz
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Numerical influence of ReLU’(0) on backpropagation
David Bertoin, Jérôme Bolte, Sébastien Gerchinovitz, Edouard Pauwels
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM
Connor Holmes, Minjia Zhang, Yuxiong He, Bo Wu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression
Chen Zhang, Shifeng Zhang, Fabio Maria Carlucci, Zhenguo Li
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Object DGCNN: 3D Object Detection using Dynamic Graphs
Yue Wang, Justin M Solomon
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning
Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Object-Centric Representation Learning with Generative Spatial-Temporal Factorization
Nanbo Li, Muhammad Ahmed Raza, Wenbin Hu, Zhaole Sun, Robert Fisher
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Object-aware Contrastive Learning for Debiased Scene Representation
Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Observation-Free Attacks on Stochastic Bandits
Yinglun Xu, Bhuvesh Kumar, Jacob D. Abernethy
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
OctField: Hierarchical Implicit Functions for 3D Modeling
Jia-Heng Tang, Weikai Chen, jie Yang, Bo Wang, Songrun Liu, Bo Yang, Lin Gao
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Off-Policy Risk Assessment in Contextual Bandits
Audrey Huang, Liu Leqi, Zachary Lipton, Kamyar Azizzadenesheli
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration
Runzhe Wu, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies
Ron Dorfman, Idan Shenfeld, Aviv Tamar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Offline Model-based Adaptable Policy Learning
Xiong-Hui Chen, Yang Yu, Qingyang Li, Fan-Ming Luo, Zhiwei Qin, Wenjie Shang, Jieping Ye
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Offline RL Without Off-Policy Evaluation
David Brandfonbrener, Will Whitney, Rajesh Ranganath, Joan Bruna
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Offline Reinforcement Learning as One Big Sequence Modeling Problem
Michael Janner, Qiyang Li, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Offline Reinforcement Learning with Reverse Model-based Imagination
Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making
Stelios Triantafyllou, Adish Singla, Goran Radanovic
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Calibration and Out-of-Domain Generalization
Yoav Wald, Amir Feder, Daniel Greenfeld, Uri Shalit
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Component Interactions in Two-Stage Recommender Systems
Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Contrastive Representations of Stochastic Processes
Emile Mathieu, Adam Foster, Yee W. Teh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Effective Scheduling of Model-based Reinforcement Learning
Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
Abhishek Roy, Krishnakumar Balasubramanian, Murat A Erdogdu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Episodes, Prototypical Networks, and Few-Shot Learning
Steinar Laenen, Luca Bertinetto
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Inductive Biases for Heterogeneous Treatment Effect Estimation
Alicia Curth, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness
Eric Mintun, Alexander Kirillov, Saining Xie
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Joint Learning for Solving Placement and Routing in Chip Design
Ruoyu Cheng, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Large-Cohort Training for Federated Learning
Zachary Charles, Zachary Garrett, Zhouyuan Huo, Sergei Shmulyian, Virginia Smith
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
Trung Phung, Trung Le, Tung-Long Vuong, Toan Tran, Anh Tran, Hung Bui, Dinh Phung
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Linear Stability of SGD and Input-Smoothness of Neural Networks
Chao Ma, Lexing Ying
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Locality of Local Explanation Models
Sahra Ghalebikesabi, Lucile Ter-Minassian, Karla DiazOrdaz, Chris C Holmes
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Margin-Based Cluster Recovery with Oracle Queries
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Memorization in Probabilistic Deep Generative Models
Gerrit van den Burg, Chris Williams
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
Tai-Yu Pan, Cheng Zhang, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Optimal Interpolation in Linear Regression
Eduard Oravkin, Patrick Rebeschini
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Optimal Robustness to Adversarial Corruption in Online Decision Problems
Shinji Ito
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Path Integration of Grid Cells: Group Representation and Isotropic Scaling
Ruiqi Gao, Jianwen Xie, Xue-Xin Wei, Song-Chun Zhu, Ying Nian Wu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
Tim G. J. Rudner, Cong Lu, Michael A Osborne, Yarin Gal, Yee W. Teh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Plasticity, Invariance, and Mutually Frozen Weights in Sequential Task Learning
Julian Zilly, Alessandro Achille, Andrea Censi, Emilio Frazzoli
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Provable Benefits of Depth in Training Graph Convolutional Networks
Weilin Cong, Morteza Ramezani, Mehrdad Mahdavi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry
Andi Han, Bamdev Mishra, Pratik Kumar Jawanpuria, Junbin Gao
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Robust Optimal Transport: Computational Complexity and Barycenter Computation
Khang Le, Huy Nguyen, Quang M Nguyen, Tung Pham, Hung Bui, Nhat Ho
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
Zhengyu Zhao, Zhuoran Liu, Martha Larson
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons
Vishnu Veerathu, Arun Rajkumar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On Training Implicit Models
Zhengyang Geng, Xin-Yu Zhang, Shaojie Bai, Yisen Wang, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On UMAP's True Loss Function
Sebastian Damrich, Fred A. Hamprecht
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On learning sparse vectors from mixture of responses
Nikita Polyanskii
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On sensitivity of meta-learning to support data
Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On the Algorithmic Stability of Adversarial Training
Yue Xing, Qifan Song, Guang Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On the Bias-Variance-Cost Tradeoff of Stochastic Optimization
Yifan Hu, Xin Chen, Niao He
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning
Alireza Fallah, Kristian Georgiev, Aryan Mokhtari, Asuman Ozdaglar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
Junyu Zhang, Chengzhuo Ni, zheng Yu, Csaba Szepesvari, Mengdi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms
Shuyu Cheng, Guoqiang Wu, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On the Convergence of Step Decay Step-Size for Stochastic Optimization
Xiaoyu Wang, Sindri Magnússon, Mikael Johansson
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On the Cryptographic Hardness of Learning Single Periodic Neurons
Min Jae Song, Ilias Zadik, Joan Bruna
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On the Equivalence between Neural Network and Support Vector Machine
Yilan Chen, Wei Huang, Lam Nguyen, Tsui-Wei Weng
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On the Estimation Bias in Double Q-Learning
Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On the Existence of The Adversarial Bayes Classifier
Pranjal Awasthi, Natalie Frank, Mehryar Mohri
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On the Expected Complexity of Maxout Networks
Hanna Tseran, Guido F. Montufar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On the Expressivity of Markov Reward
David Abel, Will Dabney, Anna Harutyunyan, Mark K Ho, Michael L. Littman, Doina Precup, Satinder P. Singh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On the Frequency Bias of Generative Models
Katja Schwarz, Yiyi Liao, Andreas Geiger
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On the Generative Utility of Cyclic Conditionals
Chang Liu, Haoyue Tang, Tao Qin, Jintao Wang, Tie-Yan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
Rui Huang, Andrew Geng, Yixuan Li
Machine Learning
日本大学: 関与なし（対象大学）