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

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
Integral Imprecise Probability Metrics
Siu Lun (Alan) Chau, Michele Caprio, Krikamol Muandet
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Integrating Drug Substructures and Longitudinal Electronic Health Records for Personalized Drug Recommendation
Wenjie Du, Xuqiang Li, Jinke Feng, Shuai Zhang, Wen Zhang, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Integration Matters for Learning PDEs with Backward SDEs
Sungje Park, Stephen Tu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Interaction-Centric Knowledge Infusion and Transfer for Open Vocabulary Scene Graph Generation
Lin Li, Chuhan ZHANG, Dong Zhang, Chong Sun, Chen Li, Long Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Interactive Anomaly Detection for Articulated Objects via Motion Anticipation
Ankan Bhunia, Changjian Li, Hakan Bilen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Interactive Cross-modal Learning for Text-3D Scene Retrieval
Yanglin Feng, Yongxiang Li, Yuan Sun, Yang Qin, Dezhong Peng, Peng Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Interactive and Hybrid Imitation Learning: Provably Beating Behavior Cloning
Yichen Li, Chicheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Intermediate Domain Alignment and Morphology Analogy for Patent-Product Image Retrieval
Haifan Gong, Xuanye Zhang, Ruifei Zhang, Yun Su, Zhuo Li, Yuhao Du, Anningzhe Gao, Xiang Wan, Haofeng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Interpretable Next-token Prediction via the Generalized Induction Head
Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh, Sungroh Yoon, Jianfeng Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Interpretable and Parameter Efficient Graph Neural Additive Models with Random Fourier Features
Thummaluru Siddartha Reddy, Vempalli Naga Sai Saketh, Mahesh Chandran
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Interpreting Arithmetic Reasoning in Large Language Models using Game-Theoretic Interactions
蕾蕾温, Liwei Zheng, Hongda Li, Lijun Sun, Zhihua Wei, Wen Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Interpreting Emergent Features in Deep Learning-based Side-channel Analysis
Sengim Karayalcin, Marina Krček, Stjepan Picek
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Interpreting vision transformers via residual replacement model
Jinyeong Kim, Junhyeok Kim, Yumin Shim, Joohyeok Kim, Sunyoung Jung, Seong Jae Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations across Alignment Formats
Jiaye Qian, Ge Zheng, Yuchen Zhu, Sibei Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
IntrinsiX: High-Quality PBR Generation using Image Priors
Peter Kocsis, Lukas Höllein, Matthias Niessner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning
Ke Sun, Yingnan Zhao, Enze Shi, Yafei Wang, Xiaodong Yan, Bei Jiang, Linglong Kong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Intrinsic Goals for Autonomous Agents: Model-Based Exploration in Virtual Zebrafish Predicts Ethological Behavior and Whole-Brain Dynamics
Reece Keller, Alyn Kirsch, Felix Pei, Xaq Pitkow, Leo Kozachkov, Aran Nayebi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models
Haoyi Song, Ruihan Ji, Naichen Shi, Fan Lai, Raed AL Kontar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
InvFusion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems
Noam Elata, Hyungjin Chung, Jong Chul Ye, Tomer Michaeli, Miki Elad
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems
Alan Anis Lahoud, Erik Schaffernicht, Johannes Andreas Stork
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Inverse Q-Learning Done Right: Offline Imitation Learning in $Q^\pi$-Realizable MDPs
Antoine Moulin, Gergely Neu, Luca Viano
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Investigating Hallucinations of Time Series Foundation Models through Signal Subspace Analysis
Yufeng Zou, Zijian Wang, Diego Klabjan, Han Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Investigating and Mitigating Catastrophic Forgetting in Medical Knowledge Injection through Internal Knowledge Augmentation Learning
Yuxuan Zhou, Xien Liu, Xiao Zhang, Chen Ning, Shijin Wang, Guoping Hu, Ji Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy
Vishnu Vinod, Krishna Pillutla, Abhradeep Guha Thakurta
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Irrational Complex Rotations Empower Low-bit Optimizers
Zhen Tian, Xin Zhao, Ji-Rong Wen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Is Grokking a Computational Glass Relaxation?
Xiaotian Zhang, Yue Shang, Entao Yang, Ge Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Is Limited Participant Diversity Impeding EEG-based Machine Learning?
Philipp Bomatter, Henry Gouk
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models
JIPENG LI, Yanning Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs
Zhangyin Feng, Qianglong Chen, Ning Lu, Yongqian Li, Siqi Cheng, Shuangmu Peng, Duyu Tang, Shengcai Liu, Zhirui Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Is Your Diffusion Model Actually Denoising?
Daniel Pfrommer, Zehao Dou, Christopher Scarvelis, Max Simchowitz, Ali Jadbabaie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Is the acquisition worth the cost? Surrogate losses for Consistent Two-stage Classifiers
florence regol, Joseph Cotnareanu, Theodore Glavas, Mark Coates
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Isotropic Noise in Stochastic and Quantum Convex Optimization
Annie Marsden, Liam O'Carroll, Aaron Sidford, Chenyi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
Sagnik Bhattacharya, Abhiram Gorle, Ahsan Bilal, Connor Ding, Amit Kumar Singh Yadav, Tsachy Weissman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Iterative Foundation Model Fine-Tuning on Multiple Rewards
Pouya M. Ghari, simone sciabola, Ye Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Iterative Missing Data Imputation with Model Form Adaptation and Non-Missing Feature Supervision
Hao Wang, zhengnan li, Zhichao Chen, Xu Chen, Shuting He, Guangyi Liu, Haoxuan Li, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers
Zhengliang Shi, Lingyong Yan, Dawei Yin, Suzan Verberne, Maarten Rijke, Zhaochun Ren
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference Tuning
Pengxiang Li, Zhi Gao, Bofei Zhang, Yapeng Mi, Xiaojian (Shawn) Ma, Chenrui Shi, Tao Yuan, Yuwei Wu, Yunde Jia, Song-Chun Zhu, Qing Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
It’s Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation
Jikai Jin, Lester Mackey, Vasilis Syrgkanis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
JADE: Joint Alignment and Deep Embedding for Multi-Slice Spatial Transcriptomics
Yuanchuan Guo, Jun Liu, Huimin Cheng, Ying Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
JAFAR: Jack up Any Feature at Any Resolution
Paul Couairon, Loick Chambon, Louis Serrano, Jean-Emmanuel HAUGEARD, Matthieu Cord, Nicolas THOME
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
JAMUN: Bridging Smoothed Molecular Dynamics and Score-Based Learning for Conformational Ensemble Generation
Ameya Daigavane, Bodhi Vani, Darcy Davidson, Saeed Saremi, Joshua Rackers, Joseph Kleinhenz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Jacobian-Based Interpretation of Nonlinear Neural Encoding Model
Haoran Yang, cheng yue, Mengfei Zuo, Yiheng Liu, Peiyang Li, Xiaohui Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models
Jiaxin Song, Yixu Wang, Jie Li, Xuan Tong, rui yu, Yan Teng, Xingjun Ma, Yingchun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence
Octave Mariotti, Zhipeng Du, Yash Bhalgat, Oisin Mac Aodha, Hakan Bilen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Janus-Pro-R1: Advancing Collaborative Visual Comprehension and Generation via Reinforcement Learning
Kaihang Pan, Yang Wu, Wendong Bu, Shen Kai, Juncheng Li, Yingting Wang, Yunfei Li, Siliang Tang, Jun Xiao, Fei Wu, ZhaoHang, Yueting Zhuang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation Model
Qihao Duan, Bingding Huang, Zhenqiao Song, Irina Lehmann, Lei Gu, Roland Eils, Benjamin Wild
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent
Yunlong Lin, Zixu Lin, Kunjie Lin, Jinbin Bai, Panwang Pan, Chenxin Li, Haoyu Chen, Zhongdao Wang, Xinghao Ding, Wenbo Li, Shuicheng Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation
Jiyuan Wang, Chunyu Lin, cheng guan, Lang Nie, Jing He, Haodong Li, Kang Liao, Yao Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation
Kai Liu, Jungang Li, Yuchong Sun, Shengqiong Wu, jianzhang gao, Daoan Zhang, Wei Zhang, Sheng Jin, Sicheng Yu, Geng Zhan, Jiayi Ji, Fan Zhou, Liang Zheng, Shuicheng Yan, Hao Fei, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search
Yuxian Gu, Qinghao Hu, Haocheng Xi, Junyu Chen, Shang Yang, Song Han, Han Cai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Johnson-Lindenstrauss Lemma Beyond Euclidean Geometry
Chengyuan Deng, Jie Gao, Kevin Lu, Feng Luo, Cheng Xin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Joint Design of Protein Surface and Backbone Using a Diffusion Bridge Model
Guanlue Li, Xufeng Zhao, Fang Wu, Sören Laue
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance
Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Joint Modeling of fMRI and EEG Imaging Using Ordinary Differential Equation-Based Hypergraph Neural Networks
Yan Zhang, Yang Gao, Min Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Joint Relational Database Generation via Graph-Conditional Diffusion Models
Mohamed Amine Ketata, David Lüdke, Leo Schwinn, Stephan Günnemann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Joint Velocity-Growth Flow Matching for Single-Cell Dynamics Modeling
Dongyi Wang, Yuanwei Jiang, Zhenyi Zhang, Xiang Gu, Peijie Zhou, Jian Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Joint‑Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self‑Supervised Learning
Hugues Van Assel, Mark Ibrahim, Tommaso Biancalani, Aviv Regev, Randall Balestriero
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Jury-and-Judge Chain-of-Thought for Uncovering Toxic Data in 3D Visual Grounding
Kaixiang Huang, Qifeng Zhang, Jin Wang, Jingru Yang, Yang Zhou, Huan Yu, Guodong Lu, Shengfeng He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Just One Layer Norm Guarantees Stable Extrapolation
Juliusz Ziomek, George Whittle, Michael A Osborne
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
K-DeCore: Facilitating Knowledge Transfer in Continual Structured Knowledge Reasoning via Knowledge Decoupling
Yongrui Chen, Yi Huang, Yunchang Liu, Shenyu Zhang, Junhao He, Tongtong Wu, Guilin Qi, Tianxing Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
KAIROS: Scalable Model-Agnostic Data Valuation
Jiongli Zhu, Parjanya Prashant, Alex Cloninger, Babak Salimi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment
Yuxing Lu, Wei Wu, Xukai Zhao, Rui Peng, Jinzhuo Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
KGGen: Extracting Knowledge Graphs from Plain Text with Language Models
Belinda Mo, Kyssen Yu, Joshua Kazdan, Proud Mpala, Lisa Yu, Charilaos Kanatsoulis, Sanmi Koyejo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference
Rui Peng, Yuchen Lu, Qichen Sun, Yuxing Lu, Chi Zhang, Ziru Liu, Jinzhuo Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
KL Penalty Control via Perturbation for Direct Preference Optimization
Sangkyu Lee, Janghoon Han, Hosung Song, Stanley Jungkyu Choi, Honglak Lee, Youngjae Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
KL-Regularized RLHF with Multiple Reference Models: Exact Solutions and Sample Complexity
Gholamali Aminian, Amir R. Asadi, Idan Shenfeld, Youssef Mroueh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
KLASS: KL-Guided Fast Inference in Masked Diffusion Models
Seo Hyun Kim, Sunwoo Hong, Hojung Jung, Youngrok Park, Se-Young Yun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
KOALA++: Efficient Kalman-Based Optimization with Gradient-Covariance Products
Zixuan XIa, Aram Davtyan, Paolo Favaro
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation
Jiajun Shi, Jian Yang, Jiaheng Liu, Xingyuan Bu, Jiangjie Chen, Junting Zhou, Kaijing Ma, Zhoufutu Wen, Bingli Wang, Yancheng He, Liang Song, Hualei Zhu, Shilong Li, Xingjian Wang, Wei Zhang, Ruibin Yuan, Yifan Yao, Wenjun Yang, Yunli Wang, Siyuan Fang, Siyu Yuan, Qianyu He, Robert Tang, Yingshui Tan, Wangchunshu Zhou, ZHAO-XIANG ZHANG, Zhoujun Li, Wenhao Huang, Ge Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
KSP: Kolmogorov-Smirnov metric-based Post-Hoc Calibration for Survival Analysis
Jeongho Park, Daheen Kim, Cheoljun Kim, Hyungbin Park, Sangwook Kang, Gwangsu Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
KScope: A Framework for Characterizing the Knowledge Status of Language Models
Yuxin Xiao, Shan Chen, Jack Gallifant, Danielle Bitterman, Tom Hartvigsen, Marzyeh Ghassemi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
KTAE: A Model-Free Algorithm to Key-Tokens Advantage Estimation in Mathematical Reasoning
Wei Sun, Wen Yang, Pu Jian, Qianlong Du, Fuwei Cui, Shuo Ren, Jiajun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems
Hancheng Ye, Zhengqi Gao, Mingyuan Ma, Qinsi Wang, Yuzhe Fu, Ming-Yu Chung, Yueqian Lin, Zhijian Liu, Jianyi Zhang, Danyang Zhuo, Yiran Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows
Zaifeng Pan, AJJKUMAR DAHYALAL PATEL, Yipeng Shen, Zhengding Hu, Yue Guan, Wan-Lu Li, Lianhui Qin, Yida Wang, Yufei Ding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse
Jingbo Yang, Bairu Hou, Wei Wei, Yujia Bao, Shiyu Chang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction
Jang-Hyun Kim, Jinuk Kim, Sangwoo Kwon, Jae W. Lee, Sangdoo Yun, Hyun Oh Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
KaRF: Weakly-Supervised Kolmogorov-Arnold Networks-based Radiance Fields for Local Color Editing
Wudi Chen, Zhiyuan Zha, Shigang Wang, Bihan Wen, Xin Yuan, Jiantao Zhou, zipei fan, Gang Yan, Ce Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
KeeA*: Epistemic Exploratory A* Search via Knowledge Calibration
Dengwei Zhao, Shikui Tu, Yanan Sun, Lei Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning
Yaxin Hou, Bo Han, Yuheng Jia, Hui LIU, Junhui Hou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy
Jie Ren, Zhenwei Dai, Xianfeng Tang, Yue XING, Shenglai Zeng, Jingying Zeng, Qiankun Peng, Samarth Varshney, Suhang Wang, Qi He, Charu Aggarwal, Hui Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration
Yuyang Hu, Kangfu Mei, Mojtaba Sahraee-Ardakan, Ulugbek Kamilov, Peyman Milanfar, Mauricio Delbracio
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization
Antonio Ribeiro, David Vävinggren, Dave Zachariah, Thomas B Schön, Francis Bach
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning
Dechen Zhang, Zhenmei Shi, Zhang, Yingyu Liang, Difan Zou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Kernel conditional tests from learning-theoretic bounds
Pierre-François Massiani, Christian Fiedler, Lukas Haverbeck, Friedrich Solowjow, Sebastian Trimpe
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Kernel von Mises Formula of the Influence Function
Yaroslav Mukhin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning
Yijin Ni, Xiaoming Huo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
KeyDiff: Key Similarity-Based KV Cache Eviction for Long-Context LLM Inference in Resource-Constrained Environments
Junyoung Park, Dalton Jones, Matthew Morse, Raghavv Goel, Mingu Lee, Christopher Lott
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Kinaema: a recurrent sequence model for memory and pose in motion
Mert Bulent Sariyildiz, Philippe Weinzaepfel, Guillaume Bono, Gianluca Monaci, Christian Wolf
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Kinetics: Rethinking Test-Time Scaling Law
Ranajoy Sadhukhan, Zhuoming Chen, Haizhong Zheng, Beidi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Knee-Deep in C-RASP: A Transformer Depth Hierarchy
Andy J Yang, Michaël Cadilhac, David Chiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Know Thyself by Knowing Others: Learning Neuron Identity from Population Context
Vinam Arora, Divyansha Lachi, Ian Knight, Mehdi Azabou, Blake A. Richards, Cole Hurwitz, Joshua H Siegle, Eva L Dyer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Know What You Don't Know: Uncertainty Calibration of Process Reward Models
Young-Jin Park, Kristjan Greenewald, Kaveh Alimohammadi, Hao Wang, Navid Azizan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Knowing When to Stop: Efficient Context Processing via Latent Sufficiency Signals
Roy Xie, Junlin Wang, Paul Rosu, Chunyuan Deng, Bolun Sun, Zihao Lin, Bhuwan Dhingra
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Knowledge Distillation Detection for Open-weights Models
Qin Shi, Amber Yijia Zheng, Qifan Song, Raymond A. Yeh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Knowledge Distillation of Uncertainty using Deep Latent Factor Model
Sehyun Park, Jongjin Lee, Yunseop Shin, Ilsang Ohn, Yongdai Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
Xusheng Cao, Haori Lu, Linlan Huang, Fei Yang, Xialei Liu, Ming-Ming Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better
Danny Driess, Jost Springenberg, Brian Ichter, LILI YU, Adrian Li-Bell, Karl Pertsch, Allen Ren, Homer Walke, Quan Vuong, Lucy Xiaoyang Shi, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Knowledge Starts with Practice: Knowledge-Aware Exercise Generative Recommendation with Adaptive Multi-Agent Cooperation
Yangtao Zhou, Hua Chu, chen, Ziwen Wang, Jiacheng Liu, Jianan Li, Yueying Feng, Xiangming Li, Zihan Han, Qingshan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Knowledge-based Visual Question Answer with Multimodal Processing, Retrieval and Filtering
yuyang Hong, Jiaqi Gu, Yang Qi, Lubin Fan, Yue Wu, Ying Wang, Kun Ding, SHIMING XIANG, Jieping Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills
Weiji Xie, Jinrui Han, Jiakun Zheng, Huanyu Li, Xinzhe Liu, Jiyuan Shi, Weinan Zhang, Chenjia Bai, Xuelong Li
Machine Learning
日本大学: 関与なし（対象大学）