NeurIPS

2022–2026 LIVE

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Machine Learning

2025 · 5,286 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。

2025 · NeurIPS
Novel View Synthesis from A Few Glimpses via Test-Time Natural Video Completion
Yan Xu, Yixing Wang, Stella X. Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Nyström-Accelerated Primal LS-SVMs: Breaking the $O(an^3)$ Complexity Bottleneck for Scalable ODEs Learning
Weikuo Wang, Yue Liao, Huan Luo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration
Frank Wan, Jiaru Qian, Wenke Huang, Qilin Xu, Xianda Guo, Boheng Li, Guibin Zhang, Bo Du, Mang Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction
Juntong Wang, Xiyuan Wang, Muhan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OCTDiff: Bridged Diffusion Model for Portable OCT Super-Resolution and Enhancement
Ye Tian, Angela McCarthy, Gabriel Gomide, Nancy Liddle, Jedrzej Golebka, Royce Chen, Jeff Liebmann, Kaveri Thakoor
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ODG: Occupancy Prediction Using Dual Gaussians
Yunxiao Shi, Yinhao Zhu, Herbert Cai, Shizhong Han, Jisoo Jeong, Amin Ansari, Fatih Porikli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain
Wenzhen Yue, Yong Liu, Hao Wang, Haoxuan Li, Xianghua Ying, Ruohao Guo, Bowei Xing, Ji Shi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OMiSO: Adaptive optimization of state-dependent brain stimulation to shape neural population states
Yuki Minai, Joana Soldado-Magraner, Byron M Yu, Matthew A. Smith
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OOD-Barrier: Build a Middle-Barrier for Open-Set Single-Image Test Time Adaptation via Vision Language Models
Boyang Peng, Sanqing Qu, Tianpei Zou, Fan Lu, Ya Wu, Kai Chen, Siheng Chen, Yong Wu, Guang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OPHR: Mastering Volatility Trading with Multi-Agent Deep Reinforcement Learning
Zeting Chen, Xinyu Cai, Molei Qin, Bo An
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OPMapper: Enhancing Open-Vocabulary Semantic Segmentation with Multi-Guidance Information
Xuehui Wang, Chongjie Si, Xue Yang, Yuzhi Zhao, Wenhai Wang, Xiaokang Yang, Wei Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OPTFM: A Scalable Multi-View Graph Transformer for Hierarchical Pre-Training in Combinatorial Optimization
Hao Yuan, Wenli Ouyang, Changwen Zhang, Congrui Li, Yong Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ORIGAMISPACE: Benchmarking Multimodal LLMs in Multi-Step Spatial Reasoning with Mathematical Constraints
Rui Xu, Dakuan Lu, Zicheng Zhao, Xiaoyu Tan, Xintao Wang, Siyu Yuan, Jiangjie Chen, yinghui xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image Generation
Yunhong Min, Daehyeon Choi, Kyeongmin Yeo, Jihyun Lee, Minhyuk Sung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OSCAR: One-Step Diffusion Codec Across Multiple Bit-rates
Jinpei Guo, Yifei Ji, Zheng Chen, Kai Liu, Min Liu, Wang Rao, Wenbo Li, Yong Guo, Yulun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OSKAR: Omnimodal Self-supervised Knowledge Abstraction and Representation
Mohamed Abdelfattah, Kaouther Messaoud, Alexandre Alahi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OSTAR: Optimized Statistical Text-classifier with Adversarial Resistance
Yuhan Yao, Feifei Kou, Lei Shi, Xiao yang, Zhongbao Zhang, Suguo Zhu, Jiwei Zhang, Lirong Qiu, LI Haisheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory Generation
Raktim Goswami, Prashanth Krishnamurthy, Yann LeCun, Farshad Khorrami
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OVS Meets Continual Learning: Towards Sustainable Open-Vocabulary Segmentation
Dongjun Hwang, Yejin Kim, Minyoung Lee, Seong Joon Oh, Junsuk Choe
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
Mengkang Hu, Yuhang Zhou, Wendong Fan, Yuzhou Nie, Ziyu Ye, Bowei Xia, Tao Sun, Zhaoxuan Jin, Yingru Li, Zeyu Zhang, Yifeng Wang, Qianshuo Ye, Bernard Ghanem, Ping Luo, Guohao Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis
Junting Chen, Haotian Liang, Lingxiao Du, Weiyun Wang, Mengkang Hu, Yao Mu, Wenhai Wang, Jifeng Dai, Ping Luo, Wenqi Shao, Lin Shao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation
Haoqi Wu, Wei Dai, Ming Xu, Wang Li, Qiang Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Object Concepts Emerge from Motion
Haoqian Liang, Xiaohui Wang, Zhichao Li, Ya Yang, Naiyan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Object-Centric Concept-Bottlenecks
David Steinmann, Wolfgang Stammer, Antonia Wüst, Kristian Kersting
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction
KunHo Heo, GiHyun Kim, SuYeon Kim, MyeongAh Cho
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Object-X: Learning to Reconstruct Multi-Modal 3D Object Representations
Gaia Di Lorenzo, Federico Tombari, Marc Pollefeys, Daniel Barath
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Object-centric 3D Motion Field for Robot Learning from Human Videos
Zhao-Heng Yin, Sherry Yang, Pieter Abbeel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Object-centric binding in Contrastive Language-Image Pretraining
Rim Assouel, Pietro Astolfi, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Objective Soups: Multilingual Multi-Task Modeling for Speech Processing
A F M Saif, Lisha Chen, Xiaodong Cui, Songtao Lu, Brian Kingsbury, Tianyi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Obliviator Reveals the Cost of Nonlinear Guardedness in Concept Erasure
Ramin Akbari, Milad Afshari, Vishnu Boddeti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Off-policy Reinforcement Learning with Model-based Exploration Augmentation
Likun Wang, Xiangteng Zhang, Yinuo Wang, Guojian Zhan, Wenxuan Wang, Haoyu Gao, Jingliang Duan, Shengbo Eben Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Offline Actor-Critic for Average Reward MDPs
William Powell, Jeongyeol Kwon, Qiaomin Xie, Hanbaek Lyu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations
Vivek Myers, Bill Zheng, Benjamin Eysenbach, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies
Runze Yan, Xun Shen, Akifumi Wachi, Sebastien Gros, Anni Zhao, Xiao Hu
Machine Learning
日本大学: 東京農工大学
2025 · NeurIPS
Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization
Subhojyoti Mukherjee, Viet Lai, Raghavendra Addanki, Ryan Rossi, Seunghyun Yoon, Trung Bui, Anup B. Rao, Jayakumar Subramanian, Branislav Kveton
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Omni-DNA: A Genomic Model Supporting Sequence Understanding, Long-context, and Textual Annotation
Zehui Li, Vallijah Subasri, Yifei Shen, Dongsheng Li, Wentao Gu, Guy-Bart Stan, Yiren Zhao, Caihua Shan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Omni-Mol: Multitask Molecular Model for Any-to-any Modalities
Chengxin Hu, Hao Li, Yihe Yuan, Zezheng Song, Chenyang Zhao, Haixin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration
Hao Zhong, Muzhi Zhu, Zongze Du, Zheng Huang, Canyu Zhao, Mingyu Liu, Wen Wang, Hao Chen, Chunhua Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OmniCast: A Masked Latent Diffusion Model for Weather Forecasting Across Time Scales
Tung Nguyen, Tuan Pham, Troy Arcomano, Rao Kotamarthi, Ian Foster, Sandeep Madireddy, Aditya Grover
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data
Yiren Song, Cheng Liu, Mike Zheng Shou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OmniDraft: A cross-vocabulary, online adaptive drafter for on-device speculative decoding
Ramchalam Kinattinkara Ramakrishnan, Zhaocong Yuan, Jay Zhuo, Chen Feng, Yicheng Lin, Chenzheng Su, Xiaopeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OmniFC: Rethinking Federated Clustering via Lossless and Secure Distance Reconstruction
Jie Yan, Jing Liu, Zhong-Yuan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OmniGaze: Reward-inspired Generalizable Gaze Estimation in the Wild
Hongyu Qu, Jianan Wei, Xiangbo Shu, Yazhou Yao, Wenguan Wang, Jinhui Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OmniGen-AR: AutoRegressive Any-to-Image Generation
Junke Wang, Xun Wang, Qiushan Guo, Peize Sun, Weilin Huang, Zuxuan Wu, Yu-Gang Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions
Cheng Luo, Jianghui Wang, Bing Li, Siyang Song, Bernard Ghanem
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OmniSVG: A Unified Scalable Vector Graphics Generation Model
Yiying Yang, Wei Cheng, Sijin Chen, Xianfang Zeng, Fukun Yin, Jiaxu Zhang, Liao Wang, Gang Yu, Xingjun Ma, Yu-Gang Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation
Bo-Wen Yin, Jiao-Long Cao, Xuying Zhang, Yuming Chen, Ming-Ming Cheng, Qibin Hou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OmniSync: Towards Universal Lip Synchronization via Diffusion Transformers
Ziqiao Peng, Jiwen Liu, Haoxian Zhang, Xiaoqiang Liu, Songlin Tang, Pengfei Wan, Di ZHANG, Hongyan Liu, Jun He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OmniTalker: One-shot Real-time Text-Driven Talking Audio-Video Generation With Multimodal Style Mimicking
Zhongjian Wang, Peng Zhang, Jinwei Qi, wang yuan, Sheng Xu, Bang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OmniTry: Virtual Try-On Anything without Masks
Yutong Feng, Linlin Zhang, Hengyuan Cao, Yiming Chen, Xiaoduan Feng, Jian Cao, Yuxiong Wu, Bin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OmniVCus: Feedforward Subject-driven Video Customization with Multimodal Control Conditions
Yuanhao Cai, HE Zhang, Xi Chen, Jinbo Xing, Yiwei Hu, Yuqian Zhou, Kai Zhang, Zhifei Zhang, Soo Ye Kim, Tianyu Wang, Yulun Zhang, Xiaokang Yang, Zhe Lin, Alan L. Yuille
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OmniZoom: A Universal Plug-and-Play Paradigm for Cross-Device Smooth Zoom Interpolation
Xiaoan Zhu, Yue Zhao, Tianyang Hu, Jiaming Guo, Yulan Zeng, Renjing Pei, Fenglong Song, Huajun Feng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Omnidirectional 3D Scene Reconstruction from Single Image
Ren Yang, Jiahao Li, Yan Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization
Colin Doumont, Victor Picheny, Viacheslav (Slava) Borovitskiy, Henry Moss
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Agnostic PAC Learning in the Small Error Regime
Julian Asilis, Mikael Møller Høgsgaard, Grigoris Velegkas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders
Wenyu Mao, Jiancan Wu, Guoqing Hu, Zhengyi Yang, Wei Ji, Xiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models
Hoigi Seo, Dong Un Kang, Hyunjin Cho, Joohoon Lee, Se Young Chun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Evaluating LLM Alignment by Evaluating LLMs as Judges
Yixin Liu, Pengfei Liu, Arman Cohan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Evaluating Policies for Robust POMDPs
Merlijn Krale, Eline M. Bovy, Maris F. L. Galesloot, Thiago Simão, Nils Jansen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Extending Direct Preference Optimization to Accommodate Ties
Jinghong Chen, Guangyu Yang, Weizhe Lin, Jingbiao Mei, Chenxu Lyu, Bill Byrne
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Fairness of Unified Multimodal Large Language Model for Image Generation
Ming Liu, Hao Chen, Jindong Wang, Liwen Wang, Bhiksha Raj, Wensheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Feasible Rewards in Multi-Agent Inverse Reinforcement Learning
Till Freihaut, Giorgia Ramponi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation
Liyao Tang, Zhe Chen, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Group Sufficiency Under Label Bias
Haoran Zhang, Olawale Salaudeen, Marzyeh Ghassemi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Hierarchies of Fairness Notions in Cake Cutting: From Proportionality to Super Envy-Freeness
Arnav Mehra, Alexandros Psomas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Inductive Biases That Enable Generalization in Diffusion Transformers
Jie An, De Wang, Pengsheng Guo, Jiebo Luo, Alex Schwing
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Learning Verifiers and Implications to Chain-of-Thought Reasoning
Maria-Florina Balcan, Avrim Blum, Zhiyuan Li, Dravyansh Sharma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Linear Mode Connectivity of Mixture-of-Experts Architectures
Viet-Hoang Tran, Van Hoan Trinh, Khanh-Vinh Bui, Tan M. Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Local Limits of Sparse Random Graphs: Color Convergence and the Refined Configuration Model
Alexander Pluska, Sagar Malhotra
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Logic-based Self-Explainable Graph Neural Networks
Alessio Ragno, Marc Plantevit, Céline Robardet
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts
Fanqi Yan, Huy Nguyen, Le Dung, Pedram Akbarian, Nhat Ho, Alessandro Rinaldo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Optimal Steering to Achieve Exact Fairness
mohit sharma, Amit Deshpande, Chiranjib Bhattacharyya, Rajiv Ratn Shah
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Reasoning Strength Planning in Large Reasoning Models
Leheng Sheng, An Zhang, Zijian Wu, Weixiang Zhao, Changshuo Shen, zhang yi, Xiang Wang, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Traceability in $\ell_p$ Stochastic Convex Optimization
Sasha Voitovych, Mahdi Haghifam, Idan Attias, Gintare Karolina Dziugaite, Roi Livni, Dan Roy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Transferring Transferability: Towards a Theory for Size Generalization
Eitan Levin, Yuxin Ma, Mateo Diaz, Soledad Villar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Union-Closedness of Language Generation
Steve Hanneke, Amin Karbasi, Anay Mehrotra, Grigoris Velegkas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Universality Classes of Equivariant Networks
Marco Pacini, Gabriele Santin, Bruno Lepri, Shubhendu Trivedi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
Alvaro Arroyo, Alessio Gravina, Benjamin Gutteridge, Federico Barbero, Claudio Gallicchio, Xiaowen Dong, Michael Bronstein, Pierre Vandergheynst
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On scalable and efficient training of diffusion samplers
Minkyu Kim, Kiyoung Seong, Dongyeop Woo, Sungsoo Ahn, Minsu Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the $O(\frac{\sqrt{d}}{K^{1/4}})$ Convergence Rate of AdamW Measured by $\ell_1$ Norm
Huan Li, Yiming Dong, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the Bias of Next-Token Predictors Toward Systematically Inefficient Reasoning: A Shortest-Path Case Study
Riccardo Alberghi, Elizaveta Demyanenko, Luca Biggio, Luca Saglietti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity
Quentin Bertrand, Anne Gagneux, Mathurin Massias, Rémi Emonet
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the Coexistence and Ensembling of Watermarks
Aleksandar Petrov, Shruti Agarwal, Philip H.S. Torr, Adel Bibi, John Collomosse
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the Complexity of Finding Stationary Points in Nonconvex Simple Bilevel Optimization
Jincheng Cao, Ruichen Jiang, Erfan Yazdandoost Hamedani, Aryan Mokhtari
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the Convergence of Single-Timescale Actor-Critic
Navdeep Kumar, Priyank Agrawal, Giorgia Ramponi, Kfir Y. Levy, Shie Mannor
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the Convergence of Stochastic Smoothed Multi-Level Compositional Gradient Descent Ascent
Xinwen Zhang, Hongchang Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the Edge of Memorization in Diffusion Models
Sam Buchanan, Druv Pai, Yi Ma, Valentin De Bortoli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the Effect of Negative Gradient in Group Relative Deep Reinforcement Optimization
wenlong deng, Yi Ren, Muchen Li, Danica J. Sutherland, Xiaoxiao Li, Christos Thrampoulidis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the Emergence of Linear Analogies in Word Embeddings
Daniel Korchinski, Dhruva Karkada, Yasaman Bahri, Matthieu Wyart
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection
Weiqing He, Xiang Li, Tianqi Shang, Li Shen, Weijie Su, Qi Long
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the Entropy Calibration of Language Models
Steven Cao, Gregory Valiant, Percy Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the Existence and Complexity of Core-Stable Data Exchanges
Jiaxin Song, Pooja Kulkarni, Parnian Shahkar, Bhaskar Ray Chaudhury
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks
Mingze Wang, Weinan E
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the Global Optimality of Policy Gradient Methods in General Utility Reinforcement Learning
Anas Barakat, Souradip Chakraborty, Peihong Yu, Pratap Tokekar, Amrit Singh Bedi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the Hardness of Approximating Distributions with Tractable Probabilistic Models
John Leland, YooJung Choi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the Hardness of Conditional Independence Testing In Practice
Zheng He, Roman Pogodin, Yazhe Li, Namrata Deka, Arthur Gretton, Danica J. Sutherland
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting
Yisong Fu, Fei Wang, Zezhi Shao, Boyu Diao, Lin Wu, Zhulin An, Chengqing Yu, Yujie Li, Yongjun Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the Loss of Context Awareness in General Instruction Fine-tuning
Yihan Wang, Andrew Bai, Nanyun Peng, Cho-Jui Hsieh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective
Behrad Moniri, Hamed Hassani
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization
Shaocong Ma, Heng Huang
Machine Learning
日本大学: 関与なし（対象大学）