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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
Graphs Help Graphs: Multi-Agent Graph Socialized Learning
Jialu Li, Yu Wang, Pengfei Zhu, Wanyu Lin, Xinjie Yao, Qinghua Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Graph–Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry
Masanari Kimura
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Grasp2Grasp: Vision-Based Dexterous Grasp Translation via Schrödinger Bridges
Tao Zhong, Jonah Buchanan, Christine Allen-Blanchette
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Greed is Good: A Unifying Perspective on Guided Generation
Zander Blasingame, Chen Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Greedy Algorithms for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure
Aleksandrs Slivkins, Yunzong Xu, Shiliang Zuo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Greedy Sampling Is Provably Efficient For RLHF
Di Wu, Chengshuai Shi, Jing Yang, Cong Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Grids Often Outperform Implicit Neural Representation at Compressing Dense Signals
Namhoon Kim, Sara Fridovich-Keil
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data
Andrew C. Li, Toryn Klassen, Andrew Wang, Parand A. Alamdari, Sheila A. McIlraith
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Grounded Reinforcement Learning for Visual Reasoning
Gabriel Sarch, Snigdha Saha, Naitik Khandelwal, Ayush Jain, Michael J. Tarr, Aviral Kumar, Katerina Fragkiadaki
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs
Hao Fang, Changle Zhou, Jiawei Kong, Kuofeng Gao, Bin Chen, Tao Liang, Guojun Ma, Shu-Tao Xia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Group-Level Data Selection for Efficient Pretraining
Zichun Yu, Fei Peng, Jie Lei, Arnold Overwijk, Scott Yih, Chenyan Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Group-in-Group Policy Optimization for LLM Agent Training
Lang Feng, Zhenghai Xue, Tingcong Liu, Bo An
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Guarantees for Alternating Least Squares in Overparameterized Tensor Decompositions
Dionysis Arvanitakis, Vaidehi Srinivas, Aravindan Vijayaraghavan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes
Kaiqing Lin, Zhiyuan Yan, Ke-Yue Zhang, Li Hao, Yue Zhou, Yuzhen Lin, Weixiang Li, Taiping Yao, Shouhong Ding, Bin Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning
Yue Liu, Shengfang Zhai, Mingzhe Du, Yulin Chen, Tri Cao, Hongcheng Gao, Cheng Wang, Xinfeng Li, Kun Wang, Junfeng Fang, Jiaheng Zhang, Bryan Hooi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer
Sayan Deb Sarkar, Sinisa Stekovic, Vincent Lepetit, Iro Armeni
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Guided Diffusion Sampling on Function Spaces with Applications to PDEs
Jiachen Yao, Abbas Mammadov, Julius Berner, Gavin Kerrigan, Jong Chul Ye, Kamyar Azizzadenesheli, Animashree Anandkumar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Guiding Cross-Modal Representations with MLLM Priors via Preference Alignment
Pengfei Zhao, Rongbo Luan, Wei Zhang, Peng Wu, Sifeng He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Guiding LLM Decision-Making with Fairness Reward Models
Zara Hall, Melanie Subbiah, Thomas Zollo, Kathleen McKeown, Richard S. Zemel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations
Fabian Paischer, Gianluca Galletti, William Hornsby, Paul Setinek, Lorenzo Zanisi, Naomi Carey, Stanislas Pamela, Johannes Brandstetter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition
Lukas Miklautz, Chengzhi Shi, Andrii Shkabrii, Theodoros Thirimachos Davarakis, Prudence Lam, Claudia Plant, Jennifer Dy, Stratis Ioannidis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
H3D-DGS: Exploring Heterogeneous 3D Motion Representation for Deformable 3D Gaussian Splatting
Bing He, Yunuo Chen, Guo Lu, Qi Wang, Qunshan Gu, Rong Xie, Li Song, Wenjun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HAIF-GS: Hierarchical and Induced Flow-Guided Gaussian Splatting for Dynamic Scene
Jianing Chen, Zehao Li, Yujun Cai, Hao Jiang, Chengxuan Qian, Juyuan Kang, Shuqin Gao, Honglong Zhao, Tianlu Mao, Yucheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs
Saleh Ashkboos, Mahdi Nikdan, Rush Tabesh, Roberto Castro, Torsten Hoefler, Dan Alistarh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HAODiff: Human-Aware One-Step Diffusion via Dual-Prompt Guidance
JUE GONG, Tingyu Yang, Jingkai Wang, Zheng Chen, Xing Liu, Hong Gu, Yulun Zhang, Xiaokang Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HBLLM: Wavelet-Enhanced High-Fidelity 1-Bit Quantization for LLMs
Ningning Chen, Weicai Ye, Ying Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HCRMP: An LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving
Zhiwen Chen, Hanming Deng, Zhuoren Li, Huanxi Wen, Guizhe Jin, Ran Yu, Bo Leng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HEIR: Learning Graph-Based Motion Hierarchies
Cheng Zheng, William Koch, Baiang Li, Felix Heide
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts
Neil He, Rishabh Anand, Hiren Madhu, Ali Maatouk, Smita Krishnaswamy, Leandros Tassiulas, Menglin Yang, Rex Ying
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery
Vaibhav Rathore, Divyam Gupta, Biplab Banerjee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models
Yu Zhou, Xingyu Wu, Jibin Wu, Liang Feng, KC Tan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HMARL-CBF – Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems
H M Sabbir Ahmad, Ehsan Sabouni, Alexander Wasilkoff, Param Budhraja, Zijian Guo, Songyuan Zhang, Chuchu Fan, Christos G Cassandras, Wenchao Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HMVLM:Human Motion-Vision-Language Model via MoE LoRA
Lei Hu, Yongjing Ye, Shihong Xia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HOComp: Interaction-Aware Human-Object Composition
Dong Liang, Jinyuan Jia, Yuhao LIU, Rynson Lau
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HOI-Dyn: Learning Interaction Dynamics for Human-Object Motion Diffusion
Lin Wu, Zhixiang Chen, Jianglin Lan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HPSERec: A Hierarchical Partitioning and Stepwise Enhancement Framework for Long-tailed Sequential Recommendation
Xiaolong Xu, Xudong Zhao, Haolong Xiang, Xuyun Zhang, Wei Shen, Hongsheng Hu, Lianyong Qi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HQA-VLAttack: Towards High Quality Adversarial Attack on Vision-Language Pre-Trained Models
Han Liu, Jiaqi Li, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Fenglong Ma, Yuanman Li, Hong Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning
Frank Wan, Xiaoran Shang, Yuxin Wu, Guibin Zhang, Jinhe Bi, Liangtao Zheng, Xin Lin, Yue Liu, Yanbiao Ma, Wenke Huang, Bo Du
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hadamard Test is Sufficient for Efficient Quantum Gradient Estimation with Lie Algebraic Symmetries
Mohsen Heidari, Masih Mozakka, Wojciech Szpankowski
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hadamax Encoding: Elevating Performance in Model-Free Atari
Jacob Eeuwe Kooi, Zhao Yang, Vincent Francois-Lavet
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HairFree: Compositional 2D Head Prior for Text-Driven 360° Bald Texture Synthesis
Mirela Ostrek, Michael J. Black, Justus Thies
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning
Tianyi Bai, Yuxuan Fan, Qiu Jiantao, Fupeng Sun, Jiayi Song, Junlin Han, Zichen Liu, Conghui He, Wentao Zhang, Binhang Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hamiltonian Descent Algorithms for Optimization: Accelerated Rates via Randomized Integration Time
Qiang Fu, Andre Wibisono
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hamiltonian Neural PDE Solvers through Functional Approximation
Anthony Zhou, Amir Barati Farimani
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization
Kuan Zhang, Chengliang Chai, Jingzhe Xu, Chi Zhang, Han Han, Ye Yuan, Guoren Wang, Lei Cao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Handling Missing Responses under Cluster Dependence with Applications to Language Model Evaluation
Zhenghao Zeng, David Arbour, Avi Feller, Ishita Dasgupta, Atanu Sinha, Edward H. Kennedy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hankel Singular Value Regularization for Highly Compressible State Space Models
Paul Schwerdtner, Jules Berman, Benjamin Peherstorfer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hardware-aligned Hierarchical Sparse Attention for Efficient Long-term Memory Access
Xiang Hu, Jiaqi Leng, Jun Zhao, Kewei Tu, Wei Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning
Qitao Tan, Jun Liu, Zheng Zhan, Caiwen Ding, Yanzhi Wang, Xiaolong Ma, Jaewoo Lee, Jin Lu, Geng Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection
Shenzhi Yang, Junbo Zhao, Sharon Li, Shouqing Yang, Dingyu Yang, Xiaofang Zhang, Haobo Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Harnessing the Computation Redundancy in ViTs to Boost Adversarial Transferability
Jiani Liu, Zhiyuan Wang, Zeliang Zhang, Chao Huang, Susan Liang, Yunlong Tang, Chenliang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Harnessing the Universal Geometry of Embeddings
Rishi Jha, Collin Zhang, Vitaly Shmatikov, John Morris
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hawaii: Hierarchical Visual Knowledge Transfer for Efficient Vision-Language Models
Yimu Wang, Mozhgan Nasr Azadani, Sean Sedwards, Krzysztof Czarnecki
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hawk: Leveraging Spatial Context for Faster Autoregressive Text-to-Image Generation
Zhi-Kai Chen, Jun-Peng Jiang, Han-Jia Ye, De-Chuan Zhan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Head Pursuit: Probing Attention Specialization in Multimodal Transformers
Lorenzo Basile, Valentino Maiorca, Diego Doimo, Francesco Locatello, Alberto Cazzaniga
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Heavy-Ball Momentum Method in Continuous Time and Discretization Error Analysis
Bochen Lyu, Xiaojing Zhang, Fangyi Zheng, He Wang, Zheng Wang, Zhanxing Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HeavyWater and SimplexWater: Distortion-free LLM Watermarks for Low-Entropy Distributions
Dor Tsur, Carol Long, Claudio Mayrink Verdun, Sajani Vithana, Hsiang Hsu, Richard Chen, haim permuter, Flavio Calmon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-scale QoS Degradation
Nguyen Do, Bach Ngo, Youval Kashuv, Canh Pham, Hanghang Tong, My T. Thai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation
Ling Yang, Xinchen Zhang, Ye Tian, Shiyi Zhang, Chenming Shang, Minghao Xu, Wentao Zhang, Bin CUI
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations
Shuaicheng Zhang, Haohui Wang, Junhong Lin, Xiaojie Guo, Yada Zhu, Si Zhang, Dongqi Fu, Dawei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hessian-guided Perturbed Wasserstein Gradient Flows for Escaping Saddle Points
Naoya Yamamoto, Juno Kim, Taiji Suzuki
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
HetSyn: Versatile Timescale Integration in Spiking Neural Networks via Heterogeneous Synapses
Zhichao Deng, Zhikun Liu, Junxue Wang, Shengqian Chen, Xiang Wei, Qiang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Heterogeneous Adversarial Play in Interactive Environments
Manjie Xu, Xinyi Yang, Jiayu Zhan, Wei Liang, Chi Zhang, Yixin Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Heterogeneous Graph Transformers for Simultaneous Mobile Multi-Robot Task Allocation and Scheduling under Temporal Constraints
Batuhan Altundas, Shengkang Chen, Shivika Singh, Shivangi Deo, Minwoo Cho, Matthew Gombolay
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems
Shangbin Feng, Zifeng Wang, Palash Goyal, Yike Wang, Weijia Shi, Huang Xia, Hamid Palangi, Luke Zettlemoyer, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HiFC: High-efficiency Flash-based KV Cache Swapping for Scaling LLM Inference
Inho Jeong, Sunghyeon Woo, Sol Namkung, Dongsuk Jeon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance
Jiazi Bu, Pengyang Ling, Yujie Zhou, Pan Zhang, Tong Wu, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Dahua Lin, Jiaqi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HiMoLE: Towards OOD-Robust LoRA via Hierarchical Mixture of Experts
Yinuo Jiang, Yan Xiaodong, Keyan Ding, Deng Zhao, Lei Liang, Qiang Zhang, Huajun Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell data
Siddharth Viswanath, Hiren Madhu, Dhananjay Bhaskar, Jake Kovalic, Dave Johnson, Christopher Tape, Ian Adelstein, Rex Ying, Michael Perlmutter, Smita Krishnaswamy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hierachical Balance Packing: Towards Efficient Supervised Fine-tuning for Long-Context LLM
Yongqiang Yao, Jingru Tan, Kaihuan Liang, Feizhao Zhang, Jiahao Hu, Shuo Wu, Yazhe Niu, Ruihao Gong, Dahua Lin, Ningyi Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hierarchical Demonstration Order Optimization for Many-shot In-Context Learning
Yinhan He, Wendy Zheng, Song Wang, Zaiyi Zheng, Yushun Dong, Yaochen Zhu, Jundong Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation
Harold Haodong Chen, Haojian Huang, Qifeng Chen, Harry Yang, Ser Nam Lim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hierarchical Frequency Tagging Probe (HFTP): A Unified Approach to Investigate Syntactic Structure Representations in Large Language Models and the Human Brain
Jingmin An, Yilong Song, Ruolin Yang, Nai Ding, Lingxi Lu, Yuxuan Wang, Wei Wang, Chu Zhuang, Qian Wang, Fang Fang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hierarchical Implicit Neural Emulators
Ruoxi Jiang, Xiao Zhang, Karan Jakhar, Peter Y. Lu, Pedram Hassanzadeh, Michael Maire, Rebecca Willett
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hierarchical Information Aggregation for Incomplete Multimodal Alzheimer's Disease Diagnosis
Chengliang Liu, Yuanxi Que, Qihao Xu, Yabo Liu, Jie Wen, Jinghua Wang, Xiaoling Luo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory
Hanru Bai, Weiyang Ding, Difan Zou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hierarchical Optimization via LLM-Guided Objective Evolution for Mobility-on-Demand Systems
Yi Zhang, Yushen Long, Yun Ni, Liping Huang, Xiaohong Wang, Jun Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe
Chong You, Rajesh Jayaram, Ananda Theertha Suresh, Robin Nittka, Felix Yu, Sanjiv Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
Saeed Amizadeh, Sara Abdali, Yinheng Li, Kazuhito Koishida
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hierarchical Semantic-Augmented Navigation: Optimal Transport and Graph-Driven Reasoning for Vision-Language Navigation
Xiang Fang, Wanlong Fang, Changshuo Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hierarchical Shortest-Path Graph Kernel Network
Jiaxin Wang, Wenxuan Tu, Jieren Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
High Dynamic Range Imaging with Time-Encoding Spike Camera
Zhenkun Zhu, Ruiqin Xiong, Jiyu Xie, Yuanlin Wang, Xinfeng Zhang, Tiejun Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
High Resolution UDF Meshing via Iterative Networks
Federico Stella, Nicolas Talabot, Hieu Le, Pascal Fua
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
High-Dimensional Calibration from Swap Regret
Maxwell Fishelson, Noah Golowich, Mehryar Mohri, Jon Schneider
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
High-Order Flow Matching: Unified Framework and Sharp Statistical Rates
Maojiang Su, Jerry Yao-Chieh Hu, Yi-Chen Lee, Ning Zhu, Jui-Hui Chung, Shang Wu, Zhao Song, Minshuo Chen, Han Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search
Xilin Xia, Jie Wang, Wanbo Zhang, Zhihai Wang, Mingxuan Yuan, Jianye Hao, Feng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model
Valentin Schmutz, Ali Haydaroğlu, Shuqi Wang, Yixiao Feng, Matteo Carandini, Kenneth D Harris
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction
Seongsu Kim, Nayoung Kim, Dongwoo Kim, Sungsoo Ahn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
High-order Interactions Modeling for Interpretable Multi-Agent Q-Learning
Qinyu Xu, Yuanyang Zhu, Xuefei Wu, Chunlin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings
Raphaël Pellegrin, Lukas Fesser, Melanie Weber
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval
Siting Li, Xiang Gao, Simon S Du
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hippocampal-like Sequential Editing for Continual Knowledge Updates in Large Language Models
Quntian Fang, Zhen Huang, Zhiliang Tian, Minghao Hu, Dongsheng Li, Yiping Yao, Xinyue Fang, Menglong Lu, Guotong Geng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HoPE: Hybrid of Position Embedding for Long Context Vision-Language Models
Haoran Li, Yingjie Qin, Baoyuan Ou, Lai Xu, Ruiwen Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations
Junxi Xiao, Qinliang Su, Zexin Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Hogwild! Inference: Parallel LLM Generation via Concurrent Attention
Gleb Rodionov, Roman Garipov, Alina Shutova, George Yakushev, Erik Schultheis, Vage Egiazarian, Anton Sinitsin, Denis Kuznedelev, Dan Alistarh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HoliGS: Holistic Gaussian Splatting for Embodied View Synthesis
Xiaoyuan Wang, Yizhou Zhao, Botao Ye, Shan Xiaojun, Weijie Lyu, Lu Qi, Kelvin Chan, Yinxiao Li, Ming-Hsuan Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HoliTom: Holistic Token Merging for Fast Video Large Language Models
Kele Shao, Keda TAO, Can Qin, Haoxuan You, Yang Sui, Huan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Holistic Large-Scale Scene Reconstruction via Mixed Gaussian Splatting
Chuandong Liu, Huijiao Wang, Lei YU, Gui-Song Xia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Holistic Order Prediction in Natural Scenes
Pierre Musacchio, Hyunmin Lee, Jaesik Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
HollowFlow: Efficient Sample Likelihood Evaluation using Hollow Message Passing
Johann Flemming Gloy, Simon Olsson
Machine Learning
日本大学: 関与なし（対象大学）