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

2023 · 3,218 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。

2023 · NeurIPS
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors
Paul Scotti, Atmadeep Banerjee, Jimmie Goode, Stepan Shabalin, Alex Nguyen, ethan cohen, Aidan Dempster, Nathalie Verlinde, Elad Yundler, David Weisberg, Kenneth A. Norman, Tanishq Abraham
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares
Christian Kümmerle, Johannes Maly
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Recovering Unbalanced Communities in the Stochastic Block Model with Application to Clustering with a Faulty Oracle
Chandra Sekhar Mukherjee, Pan Peng, Jiapeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning
Ke Jiang, Jia-Yu Yao, Xiaoyang Tan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
Jacob Beck, Risto Vuorio, Zheng Xiong, Shimon Whiteson
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Recurrent Temporal Revision Graph Networks
Yizhou Chen, Anxiang Zeng, Qingtao Yu, Kerui Zhang, Cao Yuanpeng, Kangle Wu, Guangda Huzhang, Han Yu, Zhiming Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability
Jishnu Ray Chowdhury, Cornelia Caragea
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Red Teaming Deep Neural Networks with Feature Synthesis Tools
Stephen Casper, Tong Bu, Yuxiao Li, Jiawei Li, Kevin Zhang, Kaivalya Hariharan, Dylan Hadfield-Menell
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Reduced Policy Optimization for Continuous Control with Hard Constraints
Shutong Ding, Jingya Wang, Yali Du, Ye Shi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor
Julien Grand-Clément, Marek Petrik
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Reducing Shape-Radiance Ambiguity in Radiance Fields with a Closed-Form Color Estimation Method
Qihang Fang, Yafei Song, Keqiang Li, Liefeng Bo
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Reference-Based POMDPs
Edward Kim, Yohan Karunanayake, Hanna Kurniawati
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Refined Mechanism Design for Approximately Structured Priors via Active Regression
Christos Boutsikas, Petros Drineas, Marios Mertzanidis, Alexandros Psomas, Paritosh Verma
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans
Kyowoon Lee, Seongun Kim, Jaesik Choi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Reflexion: language agents with verbal reinforcement learning
Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
RegBN: Batch Normalization of Multimodal Data with Regularization
Morteza Ghahremani Boozandani, Christian Wachinger
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Regression with Cost-based Rejection
Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Regret Matching+: (In)Stability and Fast Convergence in Games
Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Regret Minimization via Saddle Point Optimization
Johannes Kirschner, Alireza Bakhtiari, Kushagra Chandak, Volodymyr Tkachuk, Csaba Szepesvari
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Regret-Optimal Model-Free Reinforcement Learning for Discounted MDPs with Short Burn-In Time
Xiang Ji, Gen Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Regularity as Intrinsic Reward for Free Play
Cansu Sancaktar, Justus Piater, Georg Martius
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Regularization properties of adversarially-trained linear regression
Antonio Ribeiro, Dave Zachariah, Francis R. Bach, Thomas Schön
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Regularized Behavior Cloning for Blocking the Leakage of Past Action Information
Seokin Seo, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Regularizing Neural Networks with Meta-Learning Generative Models
Shin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai, Hisashi Kashima
Machine Learning
日本大学: 京都大学
2023 · NeurIPS
Rehearsal Learning for Avoiding Undesired Future
Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Reinforcement Learning with Fast and Forgetful Memory
Steven Morad, Ryan Kortvelesy, Stephan Liwicki, Amanda Prorok
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Reinforcement Learning with Simple Sequence Priors
Tankred Saanum, Noémi Éltető, Peter Dayan, Marcel Binz, Eric Schulz
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions
Dongjie Wang, Meng Xiao, Min Wu, pengfei wang, Yuanchun Zhou, Yanjie Fu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Reining Generalization in Offline Reinforcement Learning via Representation Distinction
Yi Ma, Hongyao Tang, Dong Li, Zhaopeng Meng
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification
Liangliang Shi, Haoyu Zhen, Gu Zhang, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Relax, it doesn’t matter how you get there: A new self-supervised approach for multi-timescale behavior analysis
Mehdi Azabou, Michael Mendelson, Nauman Ahad, Maks Sorokin, Shantanu Thakoor, Carolina Urzay, Eva Dyer
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Reliable Off-Policy Learning for Dosage Combinations
Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Reliable learning in challenging environments
Maria-Florina F Balcan, Steve Hanneke, Rattana Pukdee, Dravyansh Sharma
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach
Haoxuan Li, Kunhan Wu, Chunyuan Zheng, Yanghao Xiao, Hao Wang, Zhi Geng, Fuli Feng, Xiangnan He, Peng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective
Huayang Li, Tian Lan, Zihao Fu, Deng Cai, Lemao Liu, Nigel Collier, Taro Watanabe, Yixuan Su
Machine Learning
日本大学: 奈良先端科学技術大学院大学
2023 · NeurIPS
Replicability in Reinforcement Learning
Amin Karbasi, Grigoris Velegkas, Lin Yang, Felix Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Replicable Clustering
Hossein Esfandiari, Amin Karbasi, Vahab Mirrokni, Grigoris Velegkas, Felix Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Replicable Reinforcement Learning
Eric Eaton, Marcel Hussing, Michael J. Kearns, Jessica Sorrell
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning
Francesca Bartolucci, Emmanuel de Bézenac, Bogdan Raonic, Roberto Molinaro, Siddhartha Mishra, Rima Alaifari
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Representation Learning via Consistent Assignment of Views over Random Partitions
Thalles Santos Silva, Adín Ramírez Rivera
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Representational Strengths and Limitations of Transformers
Clayton Sanford, Daniel J. Hsu, Matus J. Telgarsky
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests
Edward Raff, James Holt
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone
Zeyinzi Jiang, Chaojie Mao, Ziyuan Huang, Ao Ma, Yiliang Lv, Yujun Shen, Deli Zhao, Jingren Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
ResMem: Learn what you can and memorize the rest
Zitong Yang, MICHAL LUKASIK, Vaishnavh Nagarajan, Zonglin Li, Ankit Rawat, Manzil Zaheer, Aditya K Menon, Sanjiv Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting
Zongsheng Yue, Jianyi Wang, Chen Change Loy
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Resetting the Optimizer in Deep RL: An Empirical Study
Kavosh Asadi, Rasool Fakoor, Shoham Sabach
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Residual Alignment: Uncovering the Mechanisms of Residual Networks
Jianing Li, Vardan Papyan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Residual Q-Learning: Offline and Online Policy Customization without Value
Chenran Li, Chen Tang, Haruki Nishimura, Jean Mercat, Masayoshi TOMIZUKA, Wei Zhan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Resilient Constrained Learning
Ignacio Hounie, Alejandro Ribeiro, Luiz F. O. Chamon
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
Victor Letzelter, Mathieu Fontaine, Mickael Chen, Patrick Pérez, Slim Essid, Gaël Richard
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction
Alfredo De Goyeneche Macaya, Shreya Ramachandran, Ke Wang, Ekin Karasan, Joseph Y. Cheng, Stella X. Yu, Michael Lustig
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning
Junyi Li, Heng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline
Zangwei Zheng, Xiaozhe Ren, Fuzhao Xue, Yang Luo, Xin Jiang, Yang You
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Responsible AI (RAI) Games and Ensembles
Yash Gupta, Runtian Zhai, Arun Suggala, Pradeep K. Ravikumar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Restart Sampling for Improving Generative Processes
Yilun Xu, Mingyang Deng, Xiang Cheng, Yonglong Tian, Ziming Liu, Tommi Jaakkola
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption
Yige Hong, Qiaomin Xie, Yudong Chen, Weina Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Retaining Beneficial Information from Detrimental Data for Neural Network Repair
Long-Kai Huang, Peilin Zhao, Junzhou Huang, Sinno Pan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition
Samuel Dooley, Rhea Sukthanker, John Dickerson, Colin White, Frank Hutter, Micah Goldblum
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Rethinking Conditional Diffusion Sampling with Progressive Guidance
Anh-Dung Dinh, Daochang Liu, Chang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Rethinking Gauss-Newton for learning over-parameterized models
Michael Arbel, Romain Menegaux, Pierre Wolinski
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Divin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, zengfeng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, David Clifton, S. Kevin Zhou, Lawrence Staib, James Duncan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules
ZHIYUAN LIU, Yaorui Shi, An Zhang, Enzhi Zhang [北海道大学] [東京科学大学], Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
Machine Learning
日本大学: 北海道大学 / 東京科学大学
2023 · NeurIPS
Rethinking the Backward Propagation for Adversarial Transferability
Wang Xiaosen, Kangheng Tong, Kun He
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
Jinhyuk Lee, Zhuyun Dai, Sai Meher Karthik Duddu, Tao Lei, Iftekhar Naim, Ming-Wei Chang, Vincent Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Retrieval-Augmented Multiple Instance Learning
Yufei CUI, Ziquan Liu, Yixin Chen, Yuchen Lu, Xinyue Yu, Xue (Steve) Liu, Tei-Wei Kuo, Miguel Rodrigues, Chun Jason Xue, Antoni B. Chan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Reusable Slotwise Mechanisms
Trang Nguyen, Amin Mansouri, Kanika Madan, Khuong Duy Nguyen, Kartik Ahuja, Dianbo Liu, Yoshua Bengio
Machine Learning
日本大学: 北陸先端科学技術大学院大学
2023 · NeurIPS
Reusing Pretrained Models by Multi-linear Operators for Efficient Training
Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
RevColV2: Exploring Disentangled Representations in Masked Image Modeling
Qi Han, Yuxuan Cai, Xiangyu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Reverse Engineering Self-Supervised Learning
Ido Ben-Shaul, Ravid Shwartz-Ziv, Tomer Galanti, Shai Dekel, Yann LeCun
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Reversible and irreversible bracket-based dynamics for deep graph neural networks
Anthony Gruber, Kookjin Lee, Nathaniel Trask
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective
Yingying Fan, Yu Wu, Bo Du, Yutian Lin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale
Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness
Xinli Yue, Mou Ningping, Qian Wang, Lingchen Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models
Naman Deep Singh, Francesco Croce, Matthias Hein
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Revisiting Area Convexity: Faster Box-Simplex Games and Spectrahedral Generalizations
Arun Jambulapati, Kevin Tian
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Revisiting Implicit Differentiation for Learning Problems in Optimal Control
Ming Xu, Timothy L. Molloy, Stephen Gould
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification
Tianjun Ke, Haoqun Cao, Zenan Ling, Feng Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective
Yuzheng Hu, Ruicheng Xian, Qilong Wu, Qiuling Fan, Lang Yin, Han Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Revisiting Visual Model Robustness: A Frequency Long-Tailed Distribution View
Zhiyu Lin, Yifei Gao, Yunfan Yang, Jitao Sang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Revisiting the Minimalist Approach to Offline Reinforcement Learning
Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery
Katie Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Reward Imputation with Sketching for Contextual Batched Bandits
Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks
Ryan Sullivan, Akarsh Kumar, Shengyi Huang, John Dickerson, Joseph Suarez
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement
Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Minshuo Chen, Mengdi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning
Gen Li, Wenhao Zhan, Jason Lee, Yuejie Chi, Yuxin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards
Alexandre Rame, Guillaume Couairon, Corentin Dancette, Jean-Baptiste Gaya, Mustafa Shukor, Laure Soulier, Matthieu Cord
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Rewiring Neurons in Non-Stationary Environments
Zhicheng Sun, Yadong Mu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Rewrite Caption Semantics: Bridging Semantic Gaps for Language-Supervised Semantic Segmentation
Yun Xing, Jian Kang, Aoran Xiao, Jiahao Nie, Ling Shao, Shijian Lu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Riemannian Laplace approximations for Bayesian neural networks
Federico Bergamin, Pablo Moreno-Muñoz, Søren Hauberg, Georgios Arvanitidis
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Riemannian Projection-free Online Learning
Zihao Hu, Guanghui Wang, Jacob D. Abernethy
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Riemannian Residual Neural Networks
Isay Katsman, Eric Chen, Sidhanth Holalkere, Anna Asch, Aaron Lou, Ser Nam Lim, Christopher M De Sa
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds
Jihun Yun, Eunho Yang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Riemannian stochastic optimization methods avoid strict saddle points
Ya-Ping Hsieh, Mohammad Reza Karimi Jaghargh, Andreas Krause, Panayotis Mertikopoulos
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems
Anh Viet Do, Aneta Neumann, Frank Neumann, Andrew Sutton
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Risk-Averse Active Sensing for Timely Outcome Prediction under Cost Pressure
Yuchao Qin, Mihaela van der Schaar, Changhee Lee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning
James Queeney, Mouhacine Benosman
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
Siqi Shen, Chennan Ma, Chao Li, Weiquan Liu, Yongquan Fu, Songzhu Mei, Xinwang Liu, Cheng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
RoboCLIP: One Demonstration is Enough to Learn Robot Policies
Sumedh Sontakke, Jesse Zhang, Séb Arnold, Karl Pertsch, Erdem Bıyık, Dorsa Sadigh, Chelsea Finn, Laurent Itti
Machine Learning
日本大学: 関与なし（対象大学）