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
State Size Independent Statistical Error Bound for Discrete Diffusion Models
Shintaro Wakasugi, Taiji Suzuki
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding
Jiahuan Zhou, Kai Zhu, Zhenyu Cui, Zichen Liu, Xu Zou, Gang Hua
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
State-Covering Trajectory Stitching for Diffusion Planners
Kyowoon Lee, Jaesik Choi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
StateSpaceDiffuser: Bringing Long Context to Diffusion World Models
Nedko Savov, Naser Kazemi, Deheng Zhang, Danda Pani Paudel, Xi Wang, Luc V Gool
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Statistical Analysis of an Adversarial Bayesian Weak Supervision Method
Steven An
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schr\"{o}dinger Bridge Estimation
Ibuki Maeda, Yao, Atsushi Nitanda
Machine Learning
日本大学: 九州工業大学
2025 · NeurIPS
Statistical Guarantees for High-Dimensional Stochastic Gradient Descent
Jiaqi Li, Zhipeng Lou, Johannes Schmidt-Hieber, Wei Biao Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Statistical Inference for Gradient Boosting Regression
Haimo Fang, Kevin Tan, Giles Hooker
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Statistical Inference under Performativity
Xiang Li, Yunai Li, Huiying Zhong, Lihua Lei, Zhun Deng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Statistical Parity with Exponential Weights
Stephen Pasteris, Chris Hicks, Vasilios Mavroudis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Statistical inference for Linear Stochastic Approximation with Markovian Noise
Sergey Samsonov, Marina Sheshukova, Eric Moulines, Alexey Naumov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Statistics Caching Test-Time Adaptation for Vision-Language Models
Zenghao Guan, Yucan Zhou, Wu Liu, Xiaoyan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification
Xiaobao Wang, Ruoxiao Sun, Yujun Zhang, Bingdao Feng, Dongxiao He, Luzhi Wang, Di Jin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SteerConf: Steering LLMs for Confidence Elicitation
Ziang Zhou, Tianyuan Jin, Jieming Shi, Qing Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Steering Generative Models with Experimental Data for Protein Fitness Optimization
Jason Yang, Wenda Chu, Daniel Khalil, Raul Astudillo, Bruce J. Wittmann, Frances Arnold, Yisong Yue
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Steering Information Utility in Key-Value Memory for Language Model Post-Training
Chunyuan Deng, Ruidi Chang, Hanjie Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Steering When Necessary: Flexible Steering Large Language Models with Backtracking
Zifeng Cheng, Jinwei Gan, Zhiwei Jiang, Cong Wang, Yafeng Yin, Xiang Luo, Yuchen Fu, Qing Gu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
StegoZip: Enhancing Linguistic Steganography Payload in Practice with Large Language Models
Jun Jiang, Zijin Yang, Weiming Zhang, Nenghai Yu, Kejiang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold
Zhizhong Li, Sina Sajadmanesh, Jingtao Li, Lingjuan Lyu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Stepsize anything: A unified learning rate schedule for budgeted-iteration training
Anda Tang, Yiming Dong, Yutao Zeng, zhou Xun, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Stitch and Tell: A Structured Data Augmentation Method for Spatial Understanding
Yin Hang, Xiaomin He, Peiwen Yuan, Yiwei Li, Jiayi Shi, Wenxiao Fan, Shaoxiong Feng, Prof. Kan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Stochastic Forward-Forward Learning through Representational Dimensionality Compression
Zhichao Zhu, YANG QI, Hengyuan Ma, Wenlian Lu, Jianfeng Feng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Stochastic Gradients under Nuisances
Facheng Yu, Ronak Mehta, Alex Luedtke, Zaid Harchaoui
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization
Xingyu Chen, Bokun Wang, Ming Yang, Qihang Lin, Tianbao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate
Ferdinand Genans, Antoine Godichon-Baggioni, François-Xavier Vialard, Olivier Wintenberger
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Stochastic Principal-Agent Problems: Computing and Learning Optimal History-Dependent Policies
Jiarui Gan, R Majumdar, Debmalya Mandal, Goran Radanovic
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Stochastic Process Learning via Operator Flow Matching
Yaozhong Shi, Zachary Ross, Domniki Asimaki, Kamyar Azizzadenesheli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Stochastic Regret Guarantees for Online Zeroth- and First-Order Bilevel Optimization
Parvin Nazari, Bojian Hou, Davoud Ataee Tarzanagh, Li Shen, George Michailidis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Stochastic Shortest Path with Sparse Adversarial Costs
Emmeran Johnson, Alberto Rumi, Ciara Pike-Burke, Patrick Rebeschini
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Stochastically Dominant Peer Prediction
Yichi Zhang, Shengwei Xu, Grant Schoenebeck, David M. Pennock
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning
Jie Cheng, Gang Xiong, Ruixi Qiao, Lijun Li, Chao Guo, Junle Wang, Yisheng Lv, Fei-Yue Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Storyboard-guided Alignment for Fine-grained Video Action Recognition
Enqi Liu, Liyuan Pan, Yan Yang, Yiran Zhong, Zhijing Wu, Xinxiao Wu, Liu Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Straight-Line Diffusion Model for Efficient 3D Molecular Generation
Yuyan Ni, Shikun Feng, Haohan Chi, Bowen Zheng, Huan-ang Gao, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Strassen Attention, Split VC Dimension and Compositionality in Transformers
Alexander Kozachinskiy, Felipe Urrutia, Hector Orellana, Tomasz Steifer, Germán Pizarro, Matías Fuentes, Francisco Meza Vásquez, Cristian Buc Calderon, Cristobal Rojas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Strategic Classification with Non-Linear Classifiers
Benyamin Trachtenberg, Nir Rosenfeld
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Strategic Cost Selection in Participatory Budgeting
Piotr Faliszewski, Łukasz Janeczko, Andrzej Kaczmarczyk, Grzegorz Lisowski, Piotr Skowron, Stanisław Szufa, Mateusz Szwagierczak
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Strategic Costs of Perceived Bias in Fair Selection
L. Elisa Celis, Lingxiao Huang, Milind Sohoni, Nisheeth K. Vishnoi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Strategic Hypothesis Testing
Yatong Chen, Safwan Hossain, Yiling Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Strategyproof Reinforcement Learning from Human Feedback
Thomas Kleine Buening, Jiarui Gan, Debmalya Mandal, Marta Kwiatkowska
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Stratify or Die: Rethinking Data Splits in Image Segmentation
Naga Venkata Sai Jitin Jami, Thomas Altstidl, Jonas Mueller, Jindong Li, Dario Zanca, Bjoern Eskofier, Heike Leutheuser
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
StreamBP: Memory-Efficient Exact Backpropagation for Long Sequence Training of LLMs
Qijun Luo, Mengqi Li, Lei Zhao, Xiao Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant
Haibo Wang, Bo Feng, Zhengfeng Lai, Mingze Xu, Shiyu Li, Weifeng Ge, Afshin Dehghan, Meng Cao, Ping Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
StreamFlow: Streaming Audio Generation from Discrete Tokens via Streaming Flow Matching
Ha-Yeong Choi, Sang-Hoon Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
StreamForest: Efficient Online Video Understanding with Persistent Event Memory
Xiangyu Zeng, Kefan Qiu, Qingyu Zhang, Xinhao Li, Jing Wang, Jiaxin Li, Ziang Yan, Kun Tian, Meng Tian, Xinhai Zhao, Yi Wang, Limin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Streaming Attention Approximation via Discrepancy Theory
Ekaterina Kochetkova, Kshiteej Jitesh Sheth, Insu Han, Amir Zandieh, Michael Kapralov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Streaming Federated Learning with Markovian Data
Khiem HUYNH, Malcolm Egan, Giovanni Neglia, Jean-Marie Gorce
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Streaming Stochastic Submodular Maximization with On-Demand User Requests
Honglian Wang, Sijing Tu, Lutz Oettershagen, Aristides Gionis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
StruDiCO: Structured Denoising Diffusion with Gradient-free Inference-stage Boosting for Memory and Time Efficient Combinatorial Optimization
Yu Wang, Yang Li, Junchi Yan, Yi Chang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs
Fangrui Zhu, Hanhui Wang, Yiming Xie, Jing Gu, Tianye Ding, Jianwei Yang, Huaizu Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Structural Causal Bandits under Markov Equivalence
Min Woo Park, Andy Arditi, Elias Bareinboim, Sanghack Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Structural Entropy Guided Agent for Detecting and Repairing Knowledge Deficiencies in LLMs
Yifan Wei, Xiaoyan Yu, Tengfei Pan, Angsheng Li, Li Du
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning
Xianghua Zeng, Hao Peng, Yicheng Pan, Angsheng Li, Guanlin Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Structure Matters: Dynamic Policy Gradient
Sara Klein, Xiangyuan Zhang, Tamer Basar, Simon Weissmann, Leif Döring
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models
Jie Zhao, Kang Hao Cheong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Structure-Aware Fusion with Progressive Injection for Multimodal Molecular Representation Learning
Zihao Jing, Yan Sun, Yan Yi Li, Sugitha Janarthanan, Alana Deng, Pingzhao Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Structure-Aware Spectral Sparsification via Uniform Edge Sampling
Kaiwen He, Petros Drineas, Rajiv Khanna
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Structured Initialization for Vision Transformers
Jianqiao Zheng, Xueqian Li, Hemanth Saratchandran, Simon Lucey
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models
Benjamin Walker, Lingyi Yang, Nicola Muca Cirone, Cristopher Salvi, Terry Lyons
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Structured Reinforcement Learning for Combinatorial Decision-Making
Heiko Hoppe, Léo Baty, Louis Bouvier, Axel Parmentier, Maximilian Schiffer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models
Aleksandar Terzic, Nicolas Menet, Michael Hersche, Thomas Hofmann, Abbas Rahimi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
Wei Yang, Rui Zhong, Yiqun Chen, Chi Lu, Peng Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection
Dongchan Cho, Jiho Han, Keumyeong Kang, Minsang Kim, Honggyu Ryu, Namsoon Jung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Styl3R: Instant 3D Stylized Reconstruction for Arbitrary Scenes and Styles
Peng Wang, Xiang Liu, Peidong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style Perturbations
Yanjie Li, Wenxuan Zhang, Xinqi Lyu, Yihao LIU, Bin Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SubTrack++ : Gradient Subspace Tracking for Scalable LLM Training
Sahar Rajabi, Nayeema Nonta, Sirisha Rambhatla
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Subgraph Federated Learning via Spectral Methods
Javad Aliakbari, Johan Oestman, Ashkan Panahi, Alexandre Graell i Amat
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Subsampled Ensemble Can Improve Generalization Tail Exponentially
Huajie Qian, Donghao Ying, Henry Lam, Wotao Yin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism
Sameera Ramasinghe, Thalaiyasingam Ajanthan, Gil Avraham, Yan Zuo, Alexander Long
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control
Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications
Gabriele Oliaro, Zhihao Jia, Daniel Campos, Aurick Qiao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Sum Estimation under Personalized Local Differential Privacy
Dajun Sun, Wei Dong, Yuan Qiu, Ke Yi, Graham Cormode
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SuperCLIP: CLIP with Simple Classification Supervision
Weiheng Zhao, Zilong Huang, Jiashi Feng, Xinggang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Superposition Yields Robust Neural Scaling
Yizhou Liu, Ziming Liu, Jeff Gore
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Support Vector Generation: Kernelizing Large Language Models for Efficient Zero‑Shot NLP
Shohei Ohsawa
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Surface-Aware Feed-Forward Quadratic Gaussian for Frame Interpolation with Large Motion
Zaoming Yan, Yaomin Huang, Pengcheng Lei, Qizhou Chen, Guixu Zhang, Faming Fang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SurfelSplat: Learning Efficient and Generalizable Gaussian Surfel Representations for Sparse-View Surface Reconstruction
Chensheng Dai, Shengjun Zhang, Min Chen, Yueqi Duan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning
Xiao Liang, Zhong-Zhi Li, Yeyun Gong, Yang Wang, Hengyuan Zhang, yelong shen, Ying Nian Wu, Weizhu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Switchable Token-Specific Codebook Quantization For Face Image Compression
Yongbo Wang, Haonan Wang, Guodong Mu, Ruixin Zhang, Jiaqi Chen, Jingyun Zhang, Jun Wang, Yuan Xie, zhizhong zhang, Shouhong Ding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SymMaP: Improving Computational Efficiency in Linear Solvers through Symbolic Preconditioning
Hong Wang, Jie Wang, Minghao Ma, Haoran Shao, Haoyang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning
Yiting Wang, Wanghao Ye, Ping Guo, Yexiao He, Ziyao Wang, Bowei Tian, Shwai He, Guoheng Sun, Zheyu Shen, Sihan Chen, Ankur Srivastava, Qingfu Zhang, Gang Qu, Ang Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Symmetry-Preserving Conformer Ensemble Networks for Molecular Representation Learning
Yanqiao Zhu, Yidan Shi, Yuanzhou Chen, Fang Sun, Yizhou Sun, Wei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning
Weijian Mai, Jiamin Wu, Yu Zhu, Zhouheng Yao, Dongzhan Zhou, Andrew Luo, Qihao Zheng, Wanli Ouyang, Chunfeng Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking
Shubo Lin, Yutong Kou, Zirui Wu, Shaoru Wang, Bing Li, Weiming Hu, Jin Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
Junteng Liu, Yuanxiang Fan, Jiang Zhuo, Han Ding, Yongyi Hu, Chi Zhang, Yiqi Shi, Shitong Weng, Aili Chen, Shiqi Chen, Mozhi Zhang, Pengyu Zhao, Junxian He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SyncHuman: Synchronizing 2D and 3D Generative Models for Single-view Human Reconstruction
Wenyue Chen, Peng Li, Wangguandong Zheng, Chengfeng Zhao, Mengfei Li, Yaolong Zhu, Zhiyang Dou, Ronggang Wang, Yuan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Synergistic Tensor and Pipeline Parallelism
Mengshi Qi, Jiaxuan Peng, Jie M. Zhang, Juan Zhu, Yong Li, Huadong Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers
Yongqi Ding, Lin Zuo, Mengmeng Jing, Kunshan Yang, Pei He, Tonglan Xie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Synergy over Discrepancy: A Partition-Based Approach to Multi-Domain LLM Fine-Tuning
Hua Ye, Siyuan Chen, Haoliang Zhang, Weihao Luo, Yanbin Li, Xuan Zhang
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries
Haoxiang Wang, Zinan Lin, Da Yu, Huishuai Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Synthetic Series-Symbol Data Generation for Time Series Foundation Models
Wenxuan Wang, Kai Wu, yujian li, Dan Wang, Xiaoyu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Synthetic-powered predictive inference
Meshi Bashari, Roy Maor Lotan, Yonghoon Lee, Edgar Dobriban, Yaniv Romano
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
System Prompt Optimization with Meta-Learning
Yumin Choi, Jinheon Baek, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts
Xiaoqiang Wang, Suyuchen Wang, Yun Zhu, Bang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
System-Embedded Diffusion Bridge Models
Bartlomiej Sobieski, Matthew Tivnan, Yuang Wang, Siyeop yoon, Pengfei Jin, Dufan Wu, Quanzheng Li, Przemyslaw Biecek
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Systematic Reward Gap Optimization for Mitigating VLM Hallucinations
Lehan He, Zeren Chen, Zhelun Shi, Tianyu Yu, Jing Shao, Lu Sheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning
Julie Mordacq, David Loiseaux, Vicky Kalogeiton, Steve OUDOT
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
T-SHIRT: Token-Selective Hierarchical Data Selection for Instruction Tuning
Yanjun Fu, Faisal Hamman, Sanghamitra Dutta
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
T-norm Selection for Object Detection in Autonomous Driving with Logical Constraints
Thomas Eiter, Katsumi Inoue, Nelson Higuera, Sota Moriyama
Machine Learning
日本大学: 総合研究大学院大学
2025 · NeurIPS
T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT
Dongzhi JIANG, Ziyu Guo, Renrui Zhang, ZHUOFAN ZONG, Hao Li, Le Zhuo, Shilin Yan, Pheng-Ann Heng, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
T2SMark: Balancing Robustness and Diversity in Noise-as-Watermark for Diffusion Models
Jindong Yang, Han Fang, Weiming Zhang, Nenghai Yu, Kejiang Chen
Machine Learning
日本大学: 関与なし（対象大学）