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
Improved Bounds for Swap Multicalibration and Swap Omniprediction
Haipeng Luo, Spandan Senapati, Vatsal Sharan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improved Confidence Regions and Optimal Algorithms for Online and Offline Linear MNL Bandits
Yuxuan Han, Jose Blanchet, Zhengyuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization
Shogo Iwazaki
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improved Regret and Contextual Linear Extension for Pandora's Box and Prophet Inequality
Junyan Liu, Ziyun Chen, Kun Wang, Haipeng Luo, Lillian J. Ratliff
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improved Representation Steering for Language Models
Zhengxuan Wu, Qinan Yu, Aryaman Arora, Christopher D Manning, Chris Potts
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point
Hongjie Chen, Jingqiu Ding, Yiding Hua, Stefan Tiegel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improved Scaling Laws in Linear Regression via Data Reuse
Licong Lin, Jingfeng Wu, Peter L Bartlett
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improved Training Technique for Shortcut Models
Anh Nguyen, Viet Nguyen, Duc Vu, Trung Dao, Chi Tran, Toan Tran, Anh Tran
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving Bilinear RNN with Closed-loop Control
Jiaxi Hu, Yongqi Pan, Jusen Du, Disen Lan, Tang, Qingsong Wen, Yuxuan Liang, Weigao Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay
Yifan Sun, Jingyan Shen, Yibin Wang, Tianyu Chen, Zhendong Wang, Mingyuan Zhou, Huan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving Decision Trees through the Lens of Parameterized Local Search
Juha Harviainen, Frank Sommer, Manuel Sorge
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Linear Extrapolation
Jiawei Zhang, Ziyuan Liu, Leon Yan, Gen Li, Yuantao Gu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving Energy Natural Gradient Descent through Woodbury, Momentum, and Randomization
Andrés Guzmán-Cordero, Felix Dangel, Gil Goldshlager, Marius Zeinhofer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias
Xinyan Liang, Shuai Li, Qian Guo, Yuhua Qian, Bingbing Jiang, Tingjin Luo, Liang Du
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning
Yuanyao Chen, Rongsheng Chen, Fu Luo, Zhenkun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking
Junhyuk So, Chiwoong Lee, Shinyoung Lee, Jungseul Ok, Eunhyeok Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving LLM General Preference Alignment via Optimistic Online Mirror Descent
Yuheng Zhang, Dian Yu, Tao Ge, Linfeng Song, Zhichen Zeng, Haitao Mi, Nan Jiang, Dong Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads
Zhoutong Wu, Yuan Zhang, Yiming Dong, Chenheng Zhang, Cong Fang, Kun Yuan, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving Model-Based Reinforcement Learning by Converging to Flatter Minima
Shrinivas Ramasubramanian, Benjamin Freed, Alexandre Capone, Jeff G. Schneider
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving Monte Carlo Tree Search for Symbolic Regression
Zhengyao Huang, Daniel Huang, Tiannan Xiao, Dina Ma, Zhenyu Ming, Hao Shi, Yuanhui Wen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration
Thomas Decker, Volker Tresp, Florian Buettner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving Progressive Generation with Decomposable Flow Matching
Moayed Haji-Ali, Willi Menapace, Ivan Skorokhodov, Arpit Sahni, Sergey Tulyakov, Vicente Ordonez, Aliaksandr Siarohin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving Regret Approximation for Unsupervised Dynamic Environment Generation
Harry Mead, Bruno Lacerda, Jakob Foerster, Nick Hawes
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
Yiqun Chen, Lingyong Yan, Weiwei Sun, Xinyu Ma, Yi Zhang, Shuaiqiang Wang, Dawei Yin, Yiming Yang, Jiaxin Mao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving Reward Models with Proximal Policy Exploration for Preference-Based Reinforcement Learning
Yiwen Zhu, Jinyi Liu, Pengjie Gu, Yifu Yuan, Zhenxing Ge, Wenya Wei, Zhou Fang, Yujing Hu, Bo An
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving Target Sound Extraction via Disentangled Codec Representations with Privileged Knowledge Distillation
Dail Kim, Joon-Hyuk Chang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving Task-Specific Multimodal Sentiment Analysis with General MLLMs via Prompting
Haoyu Zhang, Yinan Zhang, Chaolong Ying, Xiaoying Tang, Tianshu Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving Time Series Forecasting via Instance-aware Post-hoc Revision
Zhiding Liu, Mingyue Cheng, Guanhao Zhao, Jiqian Yang, Qi Liu, Enhong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving Video Generation with Human Feedback
Jie Liu, Gongye Liu, Jiajun Liang, Ziyang Yuan, Xiaokun Liu, Mingwu Zheng, Xiele Wu, Qiulin Wang, Menghan Xia, Xintao Wang, Xiaohong Liu, Fei Yang, Pengfei Wan, Di ZHANG, Kun Gai, Yujiu Yang, Wanli Ouyang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving planning and MBRL with temporally-extended actions
Palash Chatterjee, Roni Khardon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving the Euclidean Diffusion Generation of Manifold Data by Mitigating Score Function Singularity
Zichen Liu, Wei Zhang, Tiejun Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference
Harry Amad, Zhaozhi Qian, Dennis Frauen, Julianna Piskorz, Stefan Feuerriegel, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Improving the Straight-Through Estimator with Zeroth-Order Information
Ningfeng Yang, Tor Aamodt
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
In Search of Adam’s Secret Sauce
Antonio Orvieto, Robert Gower
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
In Silico Mapping of Visual Categorical Selectivity Across the Whole Brain
Ethan Hwang, Hossein Adeli, Wenxuan Guo, Andrew Luo, Nikolaus Kriegeskorte
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
In-Context Compositional Learning vis Sparse Coding Transformer
Wei Chen, Jingxi Yu, Zichen Miao, Qiang Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
In-Context Fully Decentralized Cooperative Multi-Agent Reinforcement Learning
Chao Li, Bingkun BAO, Yang Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
In-Context Learning Strategies Emerge Rationally
Daniel Wurgaft, Ekdeep S Lubana, Core Francisco Park, Hidenori Tanaka, Gautam Reddy, Noah D. Goodman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
In-Context Learning of Stochastic Differential Equations with Foundation Inference Models
Patrick Seifner, Kostadin Cvejoski, David Berghaus, César Ali Ojeda Marin, Ramsés J. Sánchez
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
In-context Learning of Linear Dynamical Systems with Transformers: Approximation Bounds and Depth-separation
Frank Cole, Yuxuan Zhao, Yulong Lu, Tianhao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints
Yan Dai, Negin Golrezaei, Patrick Jaillet
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty
Valia Efthymiou, Chara Podimata, Diptangshu Sen, Juba Ziani
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
Xiaoxue Cheng, Junyi Li, Zhenduo Zhang, Xinyu Tang, Xin Zhao, Xinyu Kong, Zhiqiang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Incentivizing LLMs to Self-Verify Their Answers
Fuxiang Zhang, Jiacheng Xu, Chaojie Wang, Ce Cui, Yang Liu, Bo An
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models
Yulei Qin, Gang Li, Zongyi Li, Zihan Xu, Yuchen Shi, Zhekai Lin, Xiao Cui, Ke Li, Xing Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Incentivizing Time-Aware Fairness in Data Sharing
Jiangwei Chen, Kieu Thao Nguyen Pham, Rachael Sim, Arun Verma, Zhaoxuan Wu, Chuan Sheng Foo, Bryan Kian Hsiang Low
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Incentivizing Truthful Language Models via Peer Elicitation Games
Baiting Chen, Tong Zhu, Jiale Han, Lexin Li, Gang Li, Xiaowu Dai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Incomplete Multi-view Clustering via Hierarchical Semantic Alignment and Cooperative Completion
Xiaojian Ding, Lin Zhao, Xian Li, Xiaoying Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Incomplete Multi-view Deep Clustering with Data Imputation and Alignment
Jiyuan Liu, Xinwang Liu, Xinhang Wan, KE LIANG, Weixuan Liang, sihang zhou, Huijun Wu, Kehua Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Increasing the Utility of Synthetic Images through Chamfer Guidance
Nicola DallAsen, Xiaofeng Zhang, Reyhane Askari Hemmat, Melissa Hall, Jakob J. Verbeek, Adriana Romero-Soriano, Michal Drozdzal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Incremental Sequence Classification with Temporal Consistency
Lucas Maystre, Gabriel Barello, Tudor Berariu, Cambray, Rares Dolga, Alvaro Ortega Gonzalez, Andrei Nica, David Barber
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Individual Fairness In Strategic Classification
Zhiqun Zuo, Mohammad Mahdi Khalili
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Individual Regret in Cooperative Stochastic Multi-Armed Bandits
Idan Barnea, Tal Lancewicki, Yishay Mansour
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Individually Fair Diversity Maximization
Ruien Li, Yanhao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Inductive Domain Transfer In Misspecified Simulation-Based Inference
Ortal Senouf, Antoine Wehenkel, Cédric Vincent-Cuaz, Emmanuel Abbe, Pascal Frossard
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
IneqSearch: Hybrid Reasoning for Olympiad Inequality Proofs
Zhaoqun Li, Beishui Liao, Qiwei Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Inexact Column Generation for Bayesian Network Structure Learning via Difference-of-Submodular Optimization
Yiran Yang, Rui Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions
Liangjian Wen, Qun Dai, Jianzhuang Liu, Jiangtao Zheng, Yong Dai, Dongkai Wang, Zhao Kang, Jun Wang, Zenglin Xu, Jiang Duan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction
Bin Lei, Weitai Kang, Zijian Zhang, Winson Chen, Xi Xie, Shan Zuo, Mimi Xie, Ali Payani, Mingyi Hong, Yan Yan, Caiwen Ding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Inference of Whole Brain Electrophysiological Networks Through Multimodal Integration of Simultaneous Scalp and Intracranial EEG
Shihao Yang, Feng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Inference with correlated priors using sisters cells
Sina Tootoonian, Andreas Schaefer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Inference-Time Hyper-Scaling with KV Cache Compression
Adrian Łańcucki, Konrad Staniszewski, Piotr Nawrot, Edoardo Maria Ponti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Inference-Time Personalized Alignment with a Few User Preference Queries
Victor-Alexandru Pădurean, Parameswaran Kamalaruban, Nachiket Kotalwar, Alkis Gotovos, Adish Singla
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Inference-Time Reward Hacking in Large Language Models
Hadi Khalaf, Claudio Mayrink Verdun, Alex Oesterling, Himabindu Lakkaraju, Flavio Calmon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing
Jaihoon Kim, Taehoon Yoon, Jisung Hwang, Minhyuk Sung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search
Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
Inference-time Alignment in Continuous Space
Yige Yuan, Teng Xiao, Li Yunfan, Bingbing Xu, Shuchang Tao, Yunqi Qiu, Huawei Shen, Xueqi Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Inferring stochastic dynamics with growth from cross-sectional data
Stephen Zhang, Suryanarayana Maddu, Xiaojie Qiu, Victor Chardès
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models
Yanggan Gu, Yuanyi Wang, Zhaoyi Yan, Yiming Zhang, Qi Zhou, Fei Wu, Hongxia Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion
Yuanyi Wang, Zhaoyi Yan, Yiming Zhang, Qi Zhou, Yanggan Gu, Fei Wu, Hongxia Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
InfiniPot-V: Memory-Constrained KV Cache Compression for Streaming Video Understanding
Minsoo Kim, Kyuhong Shim, Jungwook Choi, Simyung Chang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Infinite Neural Operators: Gaussian processes on functions
Daniel Augusto de Souza, Yuchen Zhu, Jake Cunningham, Yuri F. Saporito, Diego Mesquita, Marc Deisenroth
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Infinite-Width Limit of a Single Attention Layer: Analysis via Tensor Programs
Mana Sakai, Ryo Karakida, Masaaki Imaizumi
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
InfinityStar: Uniﬁed Spacetime AutoRegressive Modeling for Visual Generation
Jinlai Liu, Jian Han, Bin Yan, Hui Wu, Fengda Zhu, Xing Wang, Yi Jiang, BINGYUE PENG, Zehuan Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
Jaeseung Heo, Kyeongheung Yun, Seokwon Yoon, MoonJeong Park, Jungseul Ok, Dongwoo Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Influence Guided Context Selection for Effective Retrieval-Augmented Generation
Jiale Deng, Yanyan Shen, Ziyuan Pei, Youmin Chen, Linpeng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Information Retrieval Induced Safety Degradation in AI Agents
Cheng Yu, Benedikt Stroebl, Diyi Yang, Orestis Papakyriakopoulos
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Information Theoretic Learning for Diffusion Models with Warm Start
Yirong Shen, Lu GAN, Cong Ling
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
Ilias Diakonikolas, Chao Gao, Daniel Kane, John D. Lafferty, Ankit Pensia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Information-Driven Design of Imaging Systems
Henry Pinkard, Leyla Kabuli, Eric Markley, Tiffany Chien, Jiantao Jiao, Laura Waller
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Information-Theoretic Discrete Diffusion
Moongyu Jeon, Sangwoo Shin, Dongjae Jeon, Albert No
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Information-Theoretic Reward Decomposition for Generalizable RLHF
Liyuan Mao, Haoran Xu, Amy Zhang, Weinan Zhang, Chenjia Bai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables
Futoshi Futami, Masahiro Fujisawa
Machine Learning
日本大学: 大阪大学
2025 · NeurIPS
Informed Correctors for Discrete Diffusion Models
Yixiu Zhao, Jiaxin Shi, Feng Chen, Shaul Druckmann, Lester Mackey, Scott Linderman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Informed Initialization for Bayesian Optimization and Active Learning
Carl Hvarfner, David Eriksson, Eytan Bakshy, Maximilian Balandat
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Infrequent Exploration in Linear Bandits
Harin Lee, Min-hwan Oh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes
Haonan Wang, Hanyu Zhou, Haoyue Liu, Luxin Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination
Rakshit S Trivedi, Kartik Sharma, David C. Parkes
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets
Ji Xia, Yizi Zhang, Shuqi Wang, Genevera Allen, Liam Paninski, Cole Hurwitz, Kenneth D. Miller
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
InstaInpaint: Instant 3D-Scene Inpainting with Masked Large Reconstruction Model
Junqi You, Chieh Lin, Weijie Lyu, Zhengbo Zhang, Ming-Hsuan Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring
Federico Di Gennaro, Khaled Eldowa, Nicolò Cesa-Bianchi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Instance-Level Composed Image Retrieval
Bill Psomas, George Retsinas, Nikos Efthymiadis, Panagiotis Filntisis, Yannis Avrithis, Petros Maragos, Ondrej Chum, Giorgos Tolias
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Instance-Optimality for Private KL Distribution Estimation
Jiayuan Ye, Vitaly Feldman, Kunal Talwar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
InstanceAssemble: Layout-Aware Image Generation via Instance Assembling Attention
Qiang Xiang, Shuang Sun, Binglei Li, Dejia Song, Huaxia Li, Yibo Chen, Xu Tang, Yao Hu, Junping Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Instant Video Models: Universal Adapters for Stabilizing Image-Based Networks
Matthew Dutson, Nathan Labiosa, Yin Li, Mohit Gupta
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Instant4D: 4D Gaussian Splatting in Minutes
Zhanpeng Luo, Haoxi Ran, Li Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
InstructFlow: Adaptive Symbolic Constraint-Guided Code Generation for Long-Horizon Planning
Haotian Chi, Zeyu Feng, Yueming LYU, Chengqi Zheng, Linbo Luo, Yew Soon Ong, Ivor Tsang, Hechang Chen, Yi Chang, Haiyan Yin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
InstructHOI: Context-Aware Instruction for Multi-Modal Reasoning in Human-Object Interaction Detection
Jinguo Luo, Weihong Ren, Quanlong Zheng, Yanhao Zhang, Zhenlong Yuan, Zhiyong Wang, Haonan Lu, Honghai LIU
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
InstructRestore: Region-Customized Image Restoration with Human Instructions
Shuaizheng Liu, Jianqi Ma, Lingchen Sun, Xiangtao Kong, Lei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
InstructSAM: A Training-free Framework for Instruction-Oriented Remote Sensing Object Recognition
Yijie Zheng, Weijie Wu, Qingyun Li, Xuehui Wang, Xu Zhou, Aiai Ren, Jun Shen, Long Zhao, Guoqing Li, Xue Yang
Machine Learning
日本大学: 関与なし（対象大学）