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
Self-supervised Blending Structural Context of Visual Molecules for Robust Drug Interaction PredictionTengfei Ma, Kun Chen, Yongsheng Zang, Yujie Chen, Xuanbai Ren, Bosheng Song, Hongxin Xiang, Yiping Liu, xiangxiang Zeng
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Self-supervised Learning of Echocardiographic Video Representations via Online Cluster DistillationDivyanshu Mishra, Mohammadreza Salehi, Pramit Saha, Olga Patey, Aris Papageorghiou, Yuki Asano, Alison Noble
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Selftok-Zero: Reinforcement Learning for Visual Generation via Discrete and Autoregressive Visual TokensBohan Wang, Mingze Zhou, Zhongqi Yue, wang lin, Kaihang Pan, Liyu Jia, Wentao Hu, Wei Zhao, Hanwang Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit TokensYinhan He, Wendy Zheng, Yaochen Zhu, Zaiyi Zheng, Lin Su, Sriram Vasudevan, Qi Guo, Liangjie Hong, Jundong Li
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Semantic Representation Attack against Aligned Large Language ModelsJiawei Lian, Jianhong Pan, Lefan Wang, Yi Wang, Shaohui Mei, Lap-Pui Chau
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Semantic Retrieval Augmented Contrastive Learning for Sequential RecommendationZiqiang Cui, Yunpeng Weng, Xing Tang, Xiaokun Zhang, Shiwei Li, Peiyang Liu, Bowei He, Dugang Liu, Weihong Luo, Xiuqiang He, Chen Ma
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Semantic Surgery: Zero-Shot Concept Erasure in Diffusion ModelsLexiang Xiong, Liu Chengyu, Jingwen Ye, YAN LIU, Yuecong Xu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Semantic and Visual Crop-Guided Diffusion Models for Heterogeneous Tissue Synthesis in HistopathologySaghir Alfasly, Wataru Uegami, MD ENAMUL HOQ, Ghazal Alabtah, Hamid Tizhoosh
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Semantic-guided Diverse Decoding for Large Language ModelWeijie Shi, Yue Cui, Yaguang Wu, Jingzhi Fang, Shibo Zhang, Mengze Li, Sirui Han, Jia Zhu, Jiajie Xu, Xiaofang Zhou
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Semi-Supervised Regression with Heteroscedastic Pseudo-LabelsXueqing Sun, Renzhen Wang, Quanziang Wang, Yichen WU, Xixi Jia, Deyu Meng
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Semi-infinite Nonconvex Constrained Min-Max OptimizationCody Melcher, Zeinab Alizadeh, Lindsey Hiett, Afrooz Jalilzadeh, Erfan Yazdandoost Hamedani
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Semi-off-Policy Reinforcement Learning for Vision-Language Slow-Thinking ReasoningJunhao Shen, Haiteng Zhao, Yuzhe Gu, Songyang Gao, Kuikun Liu, Haian Huang, Jianfei Gao, Dahua Lin, Wenwei Zhang, Kai Chen
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Semi-supervised Graph Anomaly Detection via Robust Homophily LearningGUOGUO AI, Hezhe Qiao, Hui Yan, Guansong Pang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Semi-supervised Vertex Hunting, with Applications in Network and Text AnalysisYicong Jiang, Zheng Tracy Ke
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
SensorLM: Learning the Language of Wearable SensorsYuwei Zhang, Kumar Ayush, Siyuan Qiao, A. Ali Heydari, Girish Narayanswamy, Max Xu, Ahmed Metwally, Jinhua Xu, Jake Garrison, Xuhai "Orson" Xu, Tim Althoff, Yun Liu, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak Patel, Cecilia Mascolo, Xin Liu, Daniel McDuff, Yuzhe Yang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Separating the 'what' and 'how' of compositional computation to enable reuse and continual learningHaozhe Shan, Sun Minni, Lea Duncker
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Sequence Modeling with Spectral Mean FlowsJinwoo Kim, Max Beier, Petar Bevanda, Nayun Kim, Seunghoon Hong
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Sequential Attention-based Sampling for Histopathological AnalysisTarun Gogisetty, Naman Malpani, Gugan Chandrashekhar Mallika Thoppe, Sridharan Devarajan
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Sequential Monte Carlo for Policy Optimization in Continuous POMDPsHany Abdulsamad, Sahel Mohammad Iqbal, Simo Sarkka
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Sequential Multi-Agent Dynamic Algorithm ConfigurationChen Lu, Ke Xue, Lei Yuan, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Sequentially Auditing Differential PrivacyTomás González Lara, Mateo Dulce Rubio, Aaditya Ramdas, Mónica Ribero
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Set Smoothness Unlocks Clarke Hyper-stationarity in Bilevel OptimizationHe Chen, Jiajin Li, Anthony Man-Cho So
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Set-LLM: A Permutation-Invariant LLMBeni Egressy, Jan Stühmer
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Shallow Diffuse: Robust and Invisible Watermarking through Low-Dim Subspaces in Diffusion ModelsWenda Li, Huijie Zhang, Qing Qu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Shallow Flow Matching for Coarse-to-Fine Text-to-Speech SynthesisDong Yang, YIYI CAI, Yuki Saito, Lixu Wang, Hiroshi Saruwatari
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
Shape it Up! Restoring LLM Safety during FinetuningShengYun Peng, Pin-Yu Chen, Jianfeng Chi, Seongmin Lee, Duen Horng Chau
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional AutoencodersSamuel V. Singh, Shirley Coyle, Mimi Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ShapeCraft: LLM Agents for Structured, Textured and Interactive 3D ModelingShuyuan Zhang, ChenHan Jiang, Zuoou Li, Jiankang Deng
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ShapeEmbed: a self-supervised learning framework for 2D contour quantificationAnna Foix-Romero, Craig Russell, Alexander Krull, Virginie Uhlmann
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understandingjunliang ye, Zhengyi Wang, Ruowen Zhao, Shenghao Xie, Jun Zhu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification ModelsBosong Huang, Ming Jin, Yuxuan Liang, Johan Barthelemy, Debo Cheng, Qingsong Wen, Chenghao Liu, Shirui Pan
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Shaping Sequence Attractor Schema in Recurrent Neural NetworksZhikun Chu, Bo Ho, xiaolong zou, Yuanyuan Mi
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Shapley-Based Data Valuation for Weighted $k$-Nearest NeighborsGuangyi Zhang, Qiyu Liu, Aristides Gionis
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM AgentsYun Hua, Haosheng Chen, Shiqin Wang, Wenhao Li, Xiangfeng Wang, Jun Luo
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Sharp Analysis for KL-Regularized Contextual Bandits and RLHFHeyang Zhao, Chenlu Ye, Quanquan Gu, Tong Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular MDPsShulun Chen, Runlong Zhou, Zihan Zhang, Maryam Fazel, Simon S Du
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Sharp Gaussian approximations for Decentralized Federated LearningSOHAM BONNERJEE, Sayar Karmakar, Wei Biao Wu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Sharp Matrix Empirical Bernstein InequalitiesHongjian Wang, Aaditya Ramdas
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
SharpZO: Hybrid Sharpness-Aware Vision Language Model Prompt Tuning via Forward-Only PassesYifan Yang, Zhen Zhang, Rupak Vignesh Swaminathan, Jing Liu, Nathan Susanj, Zheng Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Sharper Convergence Rates for Nonconvex Optimisation via Reduction MappingsEvan Markou, Thalaiyasingam Ajanthan, Stephen Gould
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Sherlock: Self-Correcting Reasoning in Vision-Language ModelsYi Ding, Ruqi Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ShiQ: Bringing back Bellman to LLMsPierre Clavier, Nathan Grinsztajn, Raphaël Avalos, Yannis Flet-Berliac, Irem Ergun, Omar Darwiche Domingues, Olivier Pietquin, Pierre Richemond, Florian Strub, Matthieu Geist
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Shift Before You Learn: Enabling Low-Rank Representations in Reinforcement LearningBastien Dubail, Stefan Stojanovic, Alexandre Proutiere
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ShoeFit: A New Dataset and Dual-image-stream DiT Framework for Virtual Footwear Try-OnYuhan Li, Zhiyu Jin, Yifan Tong, Wenxiang Shang, Benlei Cui, Xuanhong Chen, Ran Lin, Bingbing Ni
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical EvidenceShaopeng Fu, Liang Ding, Jingfeng ZHANG, Di Wang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable GenerationYuxuan Song, Zhe Zhang, Yu Pei, Jingjing Gong, Qiying Yu, Zheng Zhang, Mingxuan Wang, Hao Zhou, Jingjing Liu, Wei-Ying Ma
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Shortcut Features as Top Eigenfunctions of NTK: A Linear Neural Network Case and MoreJinwoo Lim, Suhyun Kim, Soo-Mook Moon
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic LensSamuele Bortolotti, Emanuele Marconato, Paolo Morettin, Andrea Passerini, Stefano Teso
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free LunchXu Cai, Yang Wu, Qianli Chen, Haoran Wu, Lichuan Xiang, Hongkai Wen
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ShorterBetter: Guiding Reasoning Models to Find Optimal Inference Length for Efficient ReasoningJingyang Yi, Jiazheng Wang, Sida Li
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ShotBench: Expert-Level Cinematic Understanding in Vision-Language ModelsHongbo Liu, Jingwen He, Yi Jin, Dian Zheng, Yuhao Dong, Fan Zhang, Ziqi Huang, Yinan He, Weichao Chen, Yu Qiao, Wanli Ouyang, Shengjie Zhao, Ziwei Liu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Show-o2: Improved Native Unified Multimodal ModelsJinheng Xie, Zhenheng Yang, Mike Zheng Shou
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Siegel Neural NetworksXuan Son Nguyen, Aymeric Histace, Nistor Grozavu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Sign-In to the Lottery: Reparameterizing Sparse TrainingAdvait Gadhikar, Tom Jacobs, chao zhou, Rebekka Burkholz
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
SignFlow Bipartite Subgraph Network For Large-Scale Graph Link Sign PredictionYixiao Zhou, Xiaoqing Lyu, Hongxiang Lin, Huiying Hu, Tuo Wang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Signal and Noise: A Framework for Reducing Uncertainty in Language Model EvaluationDavid Heineman, Valentin Hofmann, Ian Magnusson, Yuling Gu, Noah A. Smith, Hanna Hajishirzi, Kyle Lo, Jesse Dodge
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Silencer: From Discovery to Mitigation of Self-Bias in LLM-as-Benchmark-GeneratorPeiwen Yuan, Yiwei Li, Shaoxiong Feng, Xinglin Wang, Yueqi Zhang, Jiayi Shi, Chuyi Tan, Boyuan Pan, Yao Hu, Prof. Kan
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
SilentStriker: Toward Stealthy Bit-Flip Attacks on Large Language ModelsHAOTIAN XU, Qingsong Peng, Jie Shi, Huadi Zheng, YU LI, Cheng Zhuo
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Sim-LLM: Optimizing LLM Inference at the Edge through Inter-Task KV ReuseRuikun Luo, Changwei Gu, Qiang He, Feifei Chen, Song Wu, Hai Jin, Yun Yang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology SimulationYimu Zhang, Dongqi Han, Yansen Wang, Zhenning Lv, Yu Gu, Dongsheng Li
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
SimWorld-Robotics: Synthesizing Photorealistic and Dynamic Urban Environments for Multimodal Robot Navigation and CollaborationYan Zhuang, Jiawei Ren, Xiaokang Ye, Jianzhi Shen, ruixuan zhang, Tianai Yue, Muhammad Faayez, Xuhong He, Xiyan Zhang, Ziqiao Ma, Lianhui Qin, Zhiting Hu, Tianmin Shu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
SimWorld: An Open-ended Simulator for Agents in Physical and Social WorldsXiaokang Ye, Jiawei Ren, Yan Zhuang, Xuhong He, Yiming Liang, Yiqing Yang, Mrinaal Dogra, Xianrui Zhong, Eric Liu, Kevin Benavente, Rajiv Mandya Nagaraju, Dhruv Sharma, Ziqiao Ma, Tianmin Shu, Zhiting Hu, Lianhui Qin
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Simple Distillation for One-Step Diffusion ModelsHuaisheng Zhu, Teng Xiao, Shijie Zhou, Zhimeng Guo, Hangfan Zhang, Siyuan Xu, Vasant G Honavar
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Simple and Effective Specialized Representations for Fair ClassifiersAlberto Sinigaglia, Davide Sartor, Marina Ceccon, Gian Antonio Susto
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Simple and Efficient Heterogeneous Temporal Graph Neural NetworkYili Wang, Tairan Huang, Changlong He, Qiutong Li, Jianliang Gao
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Simple and Optimal Sublinear Algorithms for Mean EstimationBeatrice Bertolotti, Matteo Russo, Chris Schwiegelshohn, Sudarshan Shyam
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
SimpleStrat: Diversifying Language Model Generation with StratificationJustin Wong, Yury Orlovskiy, Alexander Shypula, Michael Luo, Sanjit A. Seshia, Joseph E Gonzalez
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM UnlearningChongyu Fan, Jiancheng Liu, Licong Lin, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
SimulMEGA: MoE Routers are Advanced Policy Makers for Simultaneous Speech TranslationChenyang Le, Bing Han, Jinshun Li, Songyong Chen, Yanmin Qian
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Simulation-Based Inference for Adaptive ExperimentsBrian Cho, Aurelien Bibaut, Nathan Kallus
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Simultaneous Modeling of Protein Conformation and Dynamics via AutoregressionYuning Shen, Lihao Wang, Huizhuo Yuan, Yan Wang, Bangji Yang, Quanquan Gu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Simultaneous Statistical Inference for Off-Policy Evaluation in Reinforcement LearningTianpai Luo, Xinyuan Fan, Weichi Wu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Simultaneous Swap Regret Minimization via KL-CalibrationHaipeng Luo, Spandan Senapati, Vatsal Sharan
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
SingRef6D: Monocular Novel Object Pose Estimation with a Single RGB ReferenceJiahui Wang, Haiyue Zhu, Haoren Guo, Abdullah Al Mamun, Cheng Xiang, Tong Heng LEE
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image AnalysisNeeraj Kumar, Chad Vanderbilt
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Single-Step Operator Learning for Conditioned Time-Series Diffusion ModelsHui Chen, Vikas Singh
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular DiversitySeonghoon Yu, Dongjun Nam, Dina Katabi, Jeany Son
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Single-pass Adaptive Image Tokenization for Minimum Program SearchShivam Duggal, Sanghyun Byun, Bill Freeman, Antonio Torralba, Phillip Isola
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Sinusoidal Initialization, Time for a New StartAlberto Fernandez-Hernandez, Jose Mestre, Manuel F. Dolz, José Duato, Enrique Quintana-Orti
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
SiriuS: Self-improving Multi-agent Systems via Bootstrapped ReasoningWanjia Zhao, Mert Yuksekgonul, Shirley Wu, James Y Zou
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Size-adaptive Hypothesis Testing for FairnessAntonio Ferrara, Francesco Cozzi, Alan Perotti, André Panisson, Francesco Bonchi
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural NetworksRyien Hosseini, Filippo Simini, Venkatram Vishwanath, Rebecca Willett, Henry Hoffmann
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
SketchMind: A Multi-Agent Cognitive Framework for Assessing Student-Drawn Scientific SketchesEhsan Latif, Zirak Khan, Xiaoming Zhai
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Sketched Adaptive Distributed Deep Learning: A Sharp Convergence AnalysisZhijie Chen, Qiaobo Li, Arindam Banerjee
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Sketched Gaussian Mechanism for Private Federated LearningQiaobo Li, Zhijie Chen, Arindam Banerjee
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Skill-Driven Neurosymbolic State AbstractionsAlper Ahmetoglu, Steven James, Cameron Allen, Sam Lobel, David Abel, George Konidaris
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Skrull: Towards Efficient Long Context Fine-tuning through Dynamic Data SchedulingHongtao Xu, Wenting Shen, Yuanxin Wei, Ang Wang, Guo Runfan, Tianxing Wang, Yong Li, Mingzhen Li, Weile Jia
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
SkyLadder: Better and Faster Pretraining via Context Window SchedulingTongyao Zhu, Qian Liu, Haonan Wang, Shiqi Chen, Xiangming Gu, Tianyu Pang, Min-Yen Kan
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Sloth: scaling laws for LLM skills to predict multi-benchmark performance across familiesFelipe Maia Polo, Seamus Somerstep, Leshem Choshen, Yuekai Sun, Mikhail Yurochkin
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural NetworksEva Xie, Stefan Mihalas, Łukasz Kuśmierz
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Small Batch Size Training for Language Models: When Vanilla SGD Works, and Why Gradient Accumulation is WastefulMartin Marek, Sanae Lotfi, Aditya Somasundaram, Andrew Gordon Wilson, Micah Goldblum
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Small Resamples, Sharp Guarantees: Convergence Rates for Resampled Studentized Quantile EstimatorsImon Banerjee, Sayak Chakrabarty
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Small Singular Values Matter: A Random Matrix Analysis of Transformer ModelsMax Staats, Matthias Thamm, Bernd Rosenow
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
SmallKV: Small Model Assisted Compensation of KV Cache Compression for Efficient LLM InferenceYi Zhao, Yajuan Peng, Nguyen Cam-Tu, Zuchao Li, Xiaoliang Wang, Hai Zhao, Xiaoming Fu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust ConstraintsHyungki Im, Wyame Benslimane, Paul Grigas
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
SmartCache: Context-aware Semantic Cache for Efficient Multi-turn LLM InferenceChengye Yu, Tianyu Wang, Zili Shao, Song Jiang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Smooth Quadratic Prediction MarketsEnrique Nueve, Bo Waggoner
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Smooth Regularization for Efficient Video RecognitionGil Goldman, Raja Giryes, Mahadev Satyanarayanan
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial AssociationsDavid Burt, Renato Berlinghieri, Stephen Bates, Tamara Broderick
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Smooth and Flexible Camera Movement Synthesis via Temporal Masked Generative ModelingChenghao Xu, guangtao lyu, Jiexi Yan, Muli Yang, Cheng Deng
Machine Learning
日本大学: 関与なし(対象大学)