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
SEAL: Semantic-Aware Hierarchical Learning for Generalized Category Discovery
Zhenqi He, Yuanpei Liu, Kai Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks
Hwiwon Lee, Ziqi Zhang, Hanxiao Lu, LINGMING ZHANG
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations
Buyun Liang, Liangzu Peng, Jinqi Luo, Darshan Thaker, Kwan Ho Ryan Chan, Rene Vidal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SEEA-R1: Tree-Structured Reinforcement Fine-Tuning for Self-Evolving Embodied Agents
Wanxin Tian, Shijie Zhang, Kevin Zhang, Xiaowei Chi, Chun-Kai Fan, Junyu Lu, Yulin Luo, Qiang Zhou, Yiming Zhao, Ning Liu, Siyu Lin, Zhiyuan Qin, Xiaozhu Ju, Shanghang Zhang, Jian Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision
Yiyang Gu, Bohan Wu, Qinghua Ran, Rong-Cheng Tu, Xiao Luo, Zhiping Xiao, Wei Ju, Dacheng Tao, Ming Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SEMPO: Lightweight Foundation Models for Time Series Forecasting
Hui He, Kun Yi, Yuanchi Ma, Qi Zhang, Zhendong Niu, Guansong Pang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SGAR: Structural Generative Augmentation for 3D Human Motion Retrieval
Jiahang Zhang, Lilang Lin, Shuai Yang, Jiaying Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SGCD: Stain-Guided CycleDiffusion for Unsupervised Domain Adaptation of Histopathology Image Classification
Hsi-Ling Chen, Chun-Shien Lu, Pau-Choo Chung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SGN: Shifted Window-Based Hierarchical Variable Grouping for Multivariate Time Series Classification
Zenan Ying, Zhi Zheng, huijun hou, Tong Xu, Qi Liu, Jinke Wang, Wei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SHAP Meets Tensor Networks: Provably Tractable Explanations with Parallelism
Reda Marzouk, Shahaf Bassan, Guy Katz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SHAP values via sparse Fourier representation
Ali Gorji, Andisheh Amrollahi, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SHAP zero Explains Biological Sequence Models with Near-zero Marginal Cost for Future Queries
Darin Tsui, Aryan Musharaf, Yigit Efe Erginbas, Justin Kang, Amirali Aghazadeh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SHF: Symmetrical Hierarchical Forest with Pretrained Vision Transformer Encoder for High-Resolution Medical Segmentation
Enzhi Zhang, Peng Chen, Rui Zhong, Du Wu, Jun Igarashi, Isaac Lyngaas, Xiao Wang, Masaharu Munetomo, Mohamed Wahib
Machine Learning
日本大学: 北海道大学
2025 · NeurIPS
SHGR: A Generalized Maximal Correlation Coefficient
Samuel Stocksieker, Denys Pommeret
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SIFusion: A Unified Fusion Framework for Multi-granularity Arctic Sea Ice Forecasting
Jingyi Xu, Shengnan Wang, Weidong Yang, Keyi Liu, Yeqi Luo, Ben Fei, LEI BAI
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation
Yanwei Ren, Haotian Zhang, Fuxiang Wu, Jiayan Qiu, Jiaxing Huang, Baosheng Yu, Liu Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SING: SDE Inference via Natural Gradients
Amber Hu, Henry Smith, Scott Linderman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment
QiXu, Dongxu Wei, Lingzhe Zhao, Wenpu Li, Zhangchi Huang, Shunping Ji, Peidong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning
Tangwen Qian, Junhe Li, Yile Chen, Gao Cong, Zezhi Shao, Jun Zhang, Tao Sun, Fei Wang, Yongjun Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SNAP: Low-Latency Test-Time Adaptation with Sparse Updates
Hyeongheon Cha, Dong Min Kim, Hye Won Chung, Taesik Gong, Sung-Ju Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation
He Yang, Dongyi Lv, Song Ma, Wei Xi, Jizhong Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SOMBRL: Scalable and Optimistic Model-Based RL
Bhavya, Lenart Treven, Carmelo Sferrazza, Florian Dorfler, Pieter Abbeel, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SONAR: Long-Range Graph Propagation Through Information Waves
Alessandro Trenta, Alessio Gravina, Davide Bacciu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration
Elif Arslan, Jacobus van der Linden, Serge Hoogendoorn, Marco Rinaldi, Emir Demirović
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SPACE: Noise Contrastive Estimation Stabilizes Self-Play Fine-Tuning for Large Language Models
Yibo Wang, Guangda Huzhang, Qingguo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Lijun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SPACE: SPike-Aware Consistency Enhancement for Test-Time Adaptation in Spiking Neural Networks
Xinyu Luo, Kecheng Chen, Pao-Sheng Sun, Chris Xing TIAN, Arindam Basu, Haoliang Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score
Mohammad Jalali, Haoyu Lei, Amin Gohari, Farzan Farnia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SPARTAN: A Sparse Transformer World Model Attending to What Matters
Anson Lei, Bernhard Schölkopf, Ingmar Posner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SPAZER: Spatial-Semantic Progressive Reasoning Agent for Zero-shot 3D Visual Grounding
Zhao Jin, Rong-Cheng Tu, Jingyi Liao, Wenhao Sun, Xiao Luo, Shunyu Liu, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning
Jiaqi Chen, Bang Zhang, Ruotian Ma, Peisong Wang, Xiaodan Liang, Zhaopeng Tu, Xiaolong Li, Kwan-Yee K. Wong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SPFL: Sequential updates with Parallel aggregation for Enhanced Federated Learning under Category and Domain Shifts
Haoyuan Liang, Shilei Cao, Li, Zhiyu Ye, Haohuan Fu, Juepeng Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding
Yangxuan Zhou, Sha Zhao, Jiquan Wang, Haiteng Jiang, Shijian Li, Tao Li, Gang Pan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding
Trung Le, Hao Fang, Jingyuan Li, Tung Nguyen, Lu Mi, Amy L Orsborn, Uygar Sümbül, Eli Shlizerman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SPMDM: Enhancing Masked Diffusion Models through Simplifying Sampling Path
Yichen Zhu, Weiyu Chen, James Kwok, Zhou Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation
Yinghui Liu, Hao Miao, Guojiang Shen, Yan Zhao, Xiangjie Kong, Ivan Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SPOT: Scalable Policy Optimization with Trees for Markov Decision Processes
Xuyuan Xiong, Pedro Chumpitaz-Flores, Kaixun Hua, Cheng Hua
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SPRINT: Enabling Interleaved Planning and Parallelized Execution in Reasoning Models
Emil Biju, Shayan Talaei, Zhemin Huang, Mohammadreza Pourreza, Azalia Mirhoseini, Amin Saberi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SPRO: Improving Image Generation via Self-Play
Ritika Jha, Aanisha Bhattacharyya, Yaman Singla, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer
Yarden As, Chengrui (Ray) Qu, Benjamin Unger, Dongho Kang, Max van der Hart, Laixi Shi, Stelian Coros, Adam Wierman, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning
Peixian Ma, Xialie Zhuang, Chengjin Xu, Xuhui Jiang, Ran Chen, Jian Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL
Yue Gong, Chuan Lei, Xiao Qin, Kapil Vaidya, Balakrishnan Narayanaswamy, Tim Kraska
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SQS: Enhancing Sparse Perception Models via Query-based Splatting in Autonomous Driving
Haiming Zhang, Yiyao Zhu, Wending Zhou, Xu Yan, Yingjie CAI, Bingbing Liu, Shuguang Cui, Zhen Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SRHand: Super-Resolving Hand Images and 3D Shapes via View/Pose-aware Neural Image Representations and Explicit Meshes
Minje Kim, Tae-Kyun Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning
Zhongwei Wan, Zhihao Dou, Che Liu, Yu Zhang, Dongfei Cui, Qinjian Zhao, Hui Shen, Jing Xiong, Yi Xin, Yifan Jiang, Chaofan Tao, Yangfan He, Mi Zhang, Shen Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SRSR: Enhancing Semantic Accuracy in Real-World Image Super-Resolution with Spatially Re-Focused Text-Conditioning
Chen Chen, Majid Abdolshah, Violetta Shevchenko, Hongdong Li, Chang Xu, Pulak Purkait
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization
Junpyo Seo, HanbinKoo, jieun yook, Byung-Ro Moon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SSR: Enhancing Depth Perception in Vision-Language Models via Rationale-Guided Spatial Reasoning
Yang Liu, Ming Ma, Xiaomin Yu, Pengxiang Ding, Han Zhao, Mingyang Sun, Siteng Huang, Donglin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs
Ruyue Liu, Rong Yin, Xiangzhen Bo, Xiaoshuai Hao, Yong Liu, Jinwen Zhong, Can Ma, Weiping Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ST$^2$360D: Spatial-to-Temporal Consistency for Training-free 360 Monocular Depth Estimation
Zidong Cao, Jinjing Zhu, Hao Ai, Lutao Jiang, Yuanhuiyi Lyu, Hui Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
STACI: Spatio-Temporal Aleatoric Conformal Inference
Brandon Feng, David Park, Xihaier Luo, Arantxa Urdangarin, Shinjae Yoo, Brian Reich
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
STAIR: Addressing Stage Misalignment through Temporal-Aligned Preference Reinforcement Learning
Yao Luan, Ni Mu, Yiqin Yang, Bo Xu, Qing-Shan Jia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
STAR-Bets: Sequential TArget-Recalculating Bets for Tighter Confidence Intervals
Vaclav Voracek, Francesco Orabona
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
STAR: Efficient Preference-based Reinforcement Learning via Dual Regularization
Fengshuo Bai, Rui Zhao, Hongming Zhang, Sijia Cui, Shao Zhang, bo xu, Lei Han, Ying Wen, Yaodong Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
STAR: Spatial-Temporal Tracklet Matching for Multi-Object Tracking
Xuewei Bai, Yongcai Wang, Deying Li, Haodi Ping, LI Chunxu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
Jiatao Gu, Tianrong Chen, David Berthelot, Huangjie Zheng, Yuyang Wang, Ruixiang Zhang, Laurent Dinh, Miguel Angel Bautista, Joshua Susskind, Shuangfei Zhai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
STEAD: Robust Provably Secure Linguistic Steganography with Diffusion Language Model
Yuang Qi, Na Zhao, Qiyi Yao, Benlong Wu, Weiming Zhang, Nenghai Yu, Kejiang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation
Hossein Goli, Michael Gimelfarb, Nathan de Lara, Haruki Nishimura, Masha Itkina, Florian Shkurti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
STNet: Spectral Transformation Network for Solving Operator Eigenvalue Problem
Hong Wang, Yixuan Jiang, Jie Wang, Xinyi Li, Jian Luo, huanshuo dong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization
Haoyu Zhang, WentaoZhang, Hao Miao, Xinke Jiang, Yuchen Fang, Yifan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds
Yinfang Chen, Jiaqi Pan, Jackson Clark, Yiming Su, Noah Zheutlin, Bhavya Bhavya, Rohan R. Arora, Yu Deng, Saurabh Jha, Tianyin Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
STRIDER: Navigation via Instruction-Aligned Structural Decision Space Optimization
Diqi He, Xuehao Gao, Hao Li, Junwei Han, Dingwen Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data
Maximilian Forstenhäusler, Daniel Külzer, Christos Anagnostopoulos, Shameem Puthiya Parambath, Natascha Weber
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
STree: Speculative Tree Decoding for Hybrid State Space Models
Yangchao Wu, Zongyue Qin, Alex Wong, Stefano Soatto
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SUMO: Subspace-Aware Moment-Orthogonalization for Accelerating Memory-Efficient LLM Training
Yehonathan Refael, Guy Smorodinsky, Tom Tirer, Ofir Lindenbaum
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SViMo: Synchronized Diffusion for Video and Motion Generation in Hand-object Interaction Scenarios
Lingwei Dang, Ruizhi Shao, Hongwen Zhang, Wei MIN, Yebin Liu, Qingyao Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
Yuxiang Wei, Olivier Duchenne, Jade Copet, Quentin Carbonneaux, LINGMING ZHANG, Daniel Fried, Gabriel Synnaeve, Rishabh Singh, Sida I. Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SWE-SQL: Illuminating LLM Pathways to Solve User SQL Issues in Real-World Applications
Jinyang Li, Xiaolong Li, Ge Qu, Per Jacobsson, Bowen Qin, Binyuan Hui, Shuzheng Si, Nan Huo, Xiaohan Xu, Yue Zhang, Ziwei Tang, Yuanshuai Li, Florensia Widjaja, Xintong Zhu, Feige Zhou, Yongfeng Huang, Yannis Papakonstantinou, Fatma Ozcan, Chenhao Ma, Reynold Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SYMPHONY: Synergistic Multi-agent Planning with Heterogeneous Language Model Assembly
Wei Zhu, Zhiwen Tang, Kun Yue
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SaFiRe: Saccade-Fixation Reiteration with Mamba for Referring Image Segmentation
Zhenjie Mao, Yang Yuhuan, Chaofan Ma, Dongsheng Jiang, Jiangchao Yao, Ya Zhang, Yanfeng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models
Chenhang Cui, Gelei Deng, An Zhang, jingnan zheng, Yicong Li, Lianli Gao, Tianwei Zhang, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback
Jiaming Ji, Xinyu Chen, Rui Pan, Han Zhu, Jiahao Li, Donghai Hong, Boyuan Chen, Jiayi Zhou, Kaile Wang, Juntao Dai, Chi-Min Chan, Sirui Han, Yike Guo, Yaodong Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Safe and Stable Control via Lyapunov-Guided Diffusion Models
Xiaoyuan Cheng, Xiaohang Tang, Yiming Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking
Zihan Su, Xuerui Qiu, Hongbin Xu Xu, Tangyu Jiang, Jun-hao Zhuang, Chun Yuan, Ming Li, Shengfeng He, Fei Richard Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SafePTR: Token-Level Jailbreak Defense in Multimodal LLMs via Prune-then-Restore Mechanism
Beitao Chen, Xinyu Lyu, shengming yuan, Jingkuan Song, Hengtao Shen, Lianli Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning
Borong Zhang, Yuhao Zhang, Jiaming Ji, Yingshan Lei, Juntao Dai, Yuanpei Chen, Yaodong Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Safely Learning Controlled Stochastic Dynamics
Luc Brogat-Motte, Alessandro Rudi, Riccardo Bonalli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Safety Depth in Large Language Models: A Markov Chain Perspective
Ching-Chia Kao, Chia-Mu Yu, Chun-Shien Lu, Chu-Song Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Safety Pretraining: Toward the Next Generation of Safe AI
Pratyush Maini, Sachin Goyal, Dylan Sam, Alexander Robey, Yash Savani, Yiding Jiang, Andy Zou, Matt Fredrikson, Zachary C. Lipton, Zico Kolter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training
Jintao Zhang, Jia wei, Haoxu Wang, Pengle Zhang, Xiaoming Xu, Haofeng Huang, Kai Jiang, Jianfei Chen, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Salient Concept-Aware Generative Data Augmentation
Tianchen Zhao, Xuanbai Chen, Zhihua Li, Jun Fang, DONGSHENG An, Xiang Xu, Zhuowen Tu, Yifan Xing
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Same Task, Different Circuits: Disentangling Modality-Specific Mechanisms in VLMs
Yaniv Nikankin, Dana Arad, Yossi Gandelsman, Yonatan Belinkov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Sample Complexity of Distributionally Robust Average-Reward Reinforcement Learning
Zijun Chen, Shengbo Wang, Nian Si
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
Nina Vesseron, Louis Bethune, Marco Cuturi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function
Maria-Florina Balcan, Anh Nguyen, Dravyansh Sharma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Sample-Adaptivity Tradeoff in On-Demand Sampling
Nika Haghtalab, Omar Montasser, Mingda Qiao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Sample-Conditional Coverage in Split-Conformal Prediction
John C. Duchi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation
Byunghyun Kim, Minyoung Bae, Jae-Gil Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Sample-Efficient Tabular Self-Play for Offline Robust Reinforcement Learning
Na Li, Zewu Zheng, Wei Ni, Hangguan Shan, Wenjie Zhang, Xinyu Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions
Hidde Fokkema, Tim van Erven, Sara Magliacane
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Sampled Estimators For Softmax Must Be Biased
Li-Chung Lin, Yaxu Liu, Chih-Jen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Sampling 3D Molecular Conformers with Diffusion Transformers
J. Thorben Frank, Winfried Ripken, Gregor Lied, Klaus-Robert Müller, Oliver Unke, Stefan Chmiela
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Sampling by averaging: A multiscale approach to score estimation
Paula Cordero-Encinar, Andrew Duncan, Sebastian Reich, O. Deniz Akyildiz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Sampling from multi-modal distributions with polynomial query complexity in fixed dimension via reverse diffusion
Adrien Vacher, Omar Chehab, Anna Korba
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Sampling-Efficient Test-Time Scaling: Self-Estimating the Best-of-N Sampling in Early Decoding
Yiming Wang, Pei Zhang, Siyuan Huang, Baosong Yang, Zhuosheng Zhang, Fei Huang, Rui Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Scaffolding Dexterous Manipulation with Vision-Language Models
Vincent de Bakker, Joey Hejna, Tyler Lum, Onur Celik, Aleksandar Taranovic, Denis Blessing, Gerhard Neumann, Jeannette Bohg, Dorsa Sadigh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Scalable Best-of-N Selection for Large Language Models via Self-Certainty
Zhewei Kang, Xuandong Zhao, Dawn Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Scalable Cross-View Sample Alignment for Multi-View Clustering with View Structure Similarity
Jun Wang, Zhenglai Li, Chang Tang, Suyuan Liu, Hao Yu, Chuan Tang, Miaomiao Li, Xinwang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Scalable Evaluation and Neural Models for Compositional Generalization
Giacomo Camposampiero, Pietro Barbiero, Michael Hersche, Roger Wattenhofer, Abbas Rahimi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Scalable Exploration via Ensemble++
Yingru Li, Jiawei Xu, Baoxiang Wang, Zhiquan Luo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning
Félix Lefebvre, Gael Varoquaux
Machine Learning
日本大学: 関与なし（対象大学）