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 ModelsShintaro 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 UnderstandingJiahuan 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 PlannersKyowoon 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 ModelsNedko 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 MethodSteven 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 EstimationIbuki 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 DescentJiaqi 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 RegressionHaimo Fang, Kevin Tan, Giles Hooker
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Statistical Inference under PerformativityXiang 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 WeightsStephen 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 NoiseSergey 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 ModelsZenghao 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 ClassificationXiaobao 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 ElicitationZiang 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 OptimizationJason 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-TrainingChunyuan 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 BacktrackingZifeng 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 ModelsJun 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 ManifoldZhizhong 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 trainingAnda 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 UnderstandingYin 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 CompressionZhichao 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 NuisancesFacheng 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 OptimizationXingyu 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 RateFerdinand 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 PoliciesJiarui 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 MatchingYaozhong 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 OptimizationParvin 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 CostsEmmeran 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 PredictionYichi 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 ReasoningJie 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 RecognitionEnqi 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 GenerationYuyan 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 TransformersAlexander 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 ClassifiersBenyamin Trachtenberg, Nir Rosenfeld
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Strategic Cost Selection in Participatory BudgetingPiotr 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 SelectionL. 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 TestingYatong 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 FeedbackThomas 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 SegmentationNaga 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 LLMsQijun 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 AssistantHaibo 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 MatchingHa-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 MemoryXiangyu 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 TheoryEkaterina 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 DataKhiem 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 RequestsHonglian 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 OptimizationYu 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 MLLMsFangrui 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 EquivalenceMin 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 LLMsYifan 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 LearningXianghua 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 GradientSara 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 ModelsJie 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 LearningZihao 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 SamplingKaiwen 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 TransformersJianqiao 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 ModelsBenjamin 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-MakingHeiko 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 ModelsAleksandar 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 RecommendationWei 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 DetectionDongchan 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 StylesPeng 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 PerturbationsYanjie 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 TrainingSahar 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 MethodsJavad 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 ExponentiallyHuajie 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 ParallelismSameera 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 ControlGeorgios 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 ApplicationsGabriele 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 PrivacyDajun 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 SupervisionWeiheng 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 ScalingYizhou 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 NLPShohei 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 MotionZaoming 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 ReconstructionChensheng 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 ReasoningXiao 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 CompressionYongbo 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 PreconditioningHong 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 ReasoningYiting 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 LearningYanqiao 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 LearningWeijian 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 TrackingShubo 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 BeyondJunteng 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 ReconstructionWenyue 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 ParallelismMengshi 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-DistillersYongqi 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-TuningHua 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 IntermediariesHaoxiang 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 ModelsWenxuan 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 inferenceMeshi 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-LearningYumin 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 ShortcutsXiaoqiang 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 ModelsBartlomiej 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 HallucinationsLehan 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 LearningJulie 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 TuningYanjun 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 ConstraintsThomas 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 CoTDongzhi 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 ModelsJindong Yang, Han Fang, Weiming Zhang, Nenghai Yu, Kejiang Chen
Machine Learning
日本大学: 関与なし(対象大学)