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。
2024 · NeurIPS
MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision TasksXingkui Zhu, Yiran Guan, Dingkang Liang, Yuchao Chen, Yuliang Liu, Xiang Bai
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MoEUT: Mixture-of-Experts Universal TransformersRóbert Csordás, Kazuki Irie, Jürgen Schmidhuber, Christopher Potts, Christopher D. Manning
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their UsabilityYanrui Du, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen, Liangyu Huo, Qing Yang, Dongliang Xu, Bing Qin
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MoGenTS: Motion Generation based on Spatial-Temporal Joint ModelingWeihao Yuan, Yisheng He, Weichao Shen, Yuan Dong, Xiaodong Gu, Zilong Dong, Liefeng Bo, Qixing Huang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank ExpertsJie Zhu, Yixiong Chen, Mingyu Ding, Ping Luo, Leye Wang, Jingdong Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language ModelsLeyang Shen, Gongwei Chen, Rui Shao, Weili Guan, Liqiang Nie
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and CorrespondenceFuming You, Minghui Fang, Li Tang, Rongjie Huang, Yongqi Wang, Zhou Zhao
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge TransferMinghao Zhu, Zhengpu Wang, Mengxian Hu, Ronghao Dang, Xiao Lin, Xun Zhou, Chengju Liu, Qijun Chen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MoVA: Adapting Mixture of Vision Experts to Multimodal ContextZhuofan Zong, Bingqi Ma, Dazhong Shen, Guanglu Song, Hao Shao, Dongzhi Jiang, Hongsheng Li, Yu Liu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent CollaborationJunyang Wang, Haiyang Xu, Haitao Jia, Xi Zhang, Ming Yan, Weizhou Shen, Ji Zhang, Fei Huang, Jitao Sang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language ModelsLetian Gong, Yan Lin, Xinyue Zhang, Yiwen Lu, Xuedi Han, Yichen Liu, Shengnan Guo, Youfang Lin, Huaiyu Wan
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Model Based Inference of Synaptic Plasticity RulesYash Mehta, Danil Tyulmankov, Adithya E. Rajagopalan, Glenn C. Turner, James E. Fitzgerald, Jan Funke
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Model Collapse Demystified: The Case of RegressionElvis Dohmatob, Yুনzhen Feng, Julia Kempe
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNALifeng Qiao, Peng Ye, Yuchen Ren, Weiqiang Bai, Chaoqi Liang, Xinzhu Ma, Nanqing Dong, Wanli Ouyang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Model Fusion through Bayesian Optimization in Language Model Fine-TuningChaeyun Jang, Hyungi Lee, Jungtaek Kim, Juho Lee
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Model LEGO: Creating Models Like Disassembling and Assembling Building BlocksJiacong Hu, Jing Gao, Jingwen Ye, Yang Gao, Xingen Wang, Zunlei Feng, Mingli Song
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope TheoryPasan Dissanayake, Sanghamitra Dutta
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Model Sensitivity Aware Continual LearningZhenyi Wang, Heng Huang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Model-Based Transfer Learning for Contextual Reinforcement LearningJung-Hoon Cho, Vindula Jayawardana, Sirui Li, Cathy Wu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Model-based Diffusion for Trajectory OptimizationChaoyi Pan, Zeji Yi, Guanya Shi, Guannan Qu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix EstimationStefan Stojanovic, Yassir Jedra, Alexandre Proutiere
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical SystemsAmber Hu, David Zoltowski, Aditya Nair, David Anderson, Lea Duncker, Scott Linderman
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Molecule Design by Latent Prompt TransformerDeqian Kong, Yuhao Huang, Jianwen Xie, Edouardo Honig, Ming Xu, Shuanghong Xue, Pei Lin, Sanping Zhou, Sheng Zhong, Nanning Zheng, Ying Nian Wu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Molecule Generation with Fragment Retrieval AugmentationSeul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal, Arash Vahdat, Weili Nie
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MomentumSMoE: Integrating Momentum into Sparse Mixture of ExpertsRachel S.Y. Teo, Tan M. Nguyen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activityLynn Le, Paolo Papale, Katja Seeliger, Antonio Lozano, Thirza Dado, Feng Wang, Pieter Roelfsema, Marcel van Gerven, Yağmur Güçlütürk, Umut Güçlü
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked AutoencodersXueying Jiang, Sheng Jin, Xiaoqin Zhang, Ling Shao, Shijian Lu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Monoculture in Matching MarketsKenny Peng, Nikhil Garg
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Monomial Matrix Group Equivariant Neural Functional NetworksViet-Hoang Tran, Thieu N. Vo, Tho Tran-Huu, An T. Nguyen, Tan M. Nguyen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Monte Carlo Tree Search based Space Transfer for Black Box OptimizationShukuan Wang, Ke Xue, Lei Song, Xiaobin Huang, Chao Qian
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Most Influential Subset Selection: Challenges, Promises, and BeyondYuzheng Hu, Pingbang Hu, Han Zhao, Jiaqi W. Ma
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Motif-oriented influence maximization for viral marketing in large-scale social networksMingyang Zhou, Weiji Cao, Hao Liao, Rui Mao
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance DistillationYuanhao Zhai, Kevin Lin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Chung-Ching Lin, David Doermann, Junsong Yuan, Lijuan Wang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Motion Forecasting in Continuous DrivingNan Song, Bozhou Zhang, Xiatian Zhu, Li Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Motion Graph Unleashed: A Novel Approach to Video PredictionYiqi Zhong, Luming Liang, Bohan Tang, Ilya Zharkov, Ulrich Neumann
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MotionBooth: Motion-Aware Customized Text-to-Video GenerationJianzong Wu, Xiangtai Li, Yanhong Zeng, Jiangning Zhang, Qianyu Zhou, Yining Li, Kai Chen, Yunhai Tong
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MotionCraft: Physics-Based Zero-Shot Video GenerationAntonio Montanaro, Luca Savant Aira, Emanuele Aiello, Diego Valsesia, Enrico Magli
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian SplattingRuijie Zhu, Yanzhe Liang, Hanzhi Chang, Jiacheng Deng, Jiahao Lu, Wenfei Yang, Tianzhu Zhang, Yongdong Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRITobit Klug, Kun Wang, Stefan Ruschke, Reinhard Heckel
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Moving Off-the-Grid: Scene-Grounded Video RepresentationsSjoerd van Steenkiste, Daniel Zoran, Yi Yang, Yulia Rubanova, Rishabh Kabra, Carl Doersch, Dilara Gokay, Joseph Heyward, Etienne Pot, Klaus Greff, Drew A. Hudson, Thomas Albert Keck, Joao Carreira, Alexey Dosovitskiy, Mehdi S. M. Sajjadi, Thomas Kipf
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-Agent Coordination via Multi-Level CommunicationZiluo Ding, Zeyuan Liu, Zhirui Fang, Kefan Su, Liwen Zhu, Zongqing Lu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-Agent Domain Calibration with a Handful of Offline DataTao Jiang, Lei Yuan, Lihe Li, Cong Guan, Zongzhang Zhang, Yang Yu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-Agent Imitation Learning: Value is Easy, Regret is HardJingwu Tang, Gokul Swamy, Fei Fang, Zhiwei Steven Wu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-Group Proportional Representation in RetrievalAlex Oesterling, Claudio Mayrink Verdun, Carol Xuan Long, Alexander Glynn, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flavio P. Calmon
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-Head Mixture-of-ExpertsXun Wu, Shaohan Huang, Wenhui Wang, Shuming Ma, Li Dong, Furu Wei
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-Instance Partial-Label Learning with Margin AdjustmentWei Tang, Yin-Fang Yang, Zhaofei Wang, Weijia Zhang, Min-Ling Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-LLM Debate: Framework, Principals, and InterventionsAndrew Estornell, Yang Liu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-Label Learning with Stronger Consistency GuaranteesAnqi Mao, Mehryar Mohri, Yutao Zhong
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-Label Open Set RecognitionYi-Bo Wang, Jun-Yi Hang, Min-Ling Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial AttentionHaomeng Zhang, Chiao-An Yang, Raymond A. Yeh
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-Object Hallucination in Vision Language ModelsXuweiyi Chen, Ziqiao Ma, Xuejun Zhang, Sihan Xu, Jianing Yang, David F. Fouhey, Joyce Chai, Shengyi Qian
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-Reward Best Policy IdentificationAlessio Russo, Filippo Vannella
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-Scale Representation Learning for Protein Fitness PredictionZuobai Zhang, Pascal Notin, Yining Huang, Aurélie Lozano, Vijil Chenthamarakshan, Debora Marks, Payel Das, Jian Tang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space ModelYuheng Shi, Minjing Dong, Chang Xu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-Stage Predict+Optimize for (Mixed Integer) Linear ProgramsXinyi Hu, Jasper C.H. Lee, Jimmy H.M. Lee, Peter J. Stuckey
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-Winner ReconfigurationJiehua Chen, Christian Hatschka, Sofia Simola
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded ImagesDonghwan Kim, Tae-Kyun Kim
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-language Diversity Benefits AutoformalizationAlbert Q. Jiang, Wenda Li, Mateja Jamnik
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-modal Transfer Learning between Biological Foundation ModelsJuan Jose Garau-Luis, Patrick Bordes, Liam Gonzalez, Masa Roller, Bernardo P. de Almeida, Lorenz Hexemer, Christopher Blum, Stefan Laurent, Jan Grzegorzewski, Maren Lang, Thomas Pierrot, Guillaume Richard
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-model Ensemble Conformal Prediction in Dynamic EnvironmentsErfan Hajihashemi, Yanning Shen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-scale Consistency for Robust 3D Registration via Hierarchical Sinkhorn TreeChengwei Ren, Yifan Feng, Weixiang Zhang, Xiao-Ping Zhang, Yue Gao
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-times Monte Carlo Rendering for Inter-reflection ReconstructionTengjie Zhu, Zhuo Chen, Jingnan Gao, Yichao Yan, Xiaokang Yang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-turn Reinforcement Learning with Preference Human FeedbackLior Shani, Aviv Rosenberg, Asaf Cassel, Oran Lang, Daniele Calandriello, Avital Zipori, Hila Noga, Orgad Keller, Bilal Piot, Idan Szpektor, Avinatan Hassidim, Yossi Matias, Rémi Munos
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multi-view Masked Contrastive Representation Learning for Endoscopic Video AnalysisKai Hu, Ye Xiao, Yuan Zhang, Xieping Gao
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MultiOOD: Scaling Out-of-Distribution Detection for Multiple ModalitiesHao Dong, Yue Zhao, Eleni Chatzi, Olga Fink
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-StepTakeshi Noda, Chao Chen, Weiqi Zhang, Xinhai Liu, Yu-Shen Liu, Zhizhong Han
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multiclass Transductive Online LearningSteve Hanneke, Vinod Raman, Amirreza Shaeri, Unqiue Subedi
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multidimensional Fractional Programming for Normalized CutsYannan Chen, Beichen Huang, Licheng Zhao, Kaiming Shen
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multilinear Mixture of Experts: Scalable Expert Specialization through FactorizationJames Oldfield, Markos Georgopoulos, Grigorios G. Chrysos, Christos Tzelepis, Yannis Panagakis, Mihalis A. Nicolaou, Jiankang Deng, Ioannis Patras
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multilingual Diversity Improves Vision-Language RepresentationsThao Nguyen, Matthew Wallingford, Sebastin Santy, Wei-Chiu Ma, Sewoong Oh, Ludwig Schmidt, Pang Wei Koh, Ranjay Krishna
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multimodal Large Language Models Make Text-to-Image Generative Models Align BetterXun Wu, Shaohan Huang, Guolong Wang, Jing Xiong, Furu Wei
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context LearningBrandon Huang, Chancharik Mitra, Assaf Arbelle, Leonid Karlinsky, Trevor Darrell, Roei Herzig
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multiple Physics Pretraining for Spatiotemporal Surrogate ModelsMichael McCabe, Bruno Régaldo-Saint Blancard, Liam Parker, Ruben Ohana, Miles Cranmer, Alberto Bietti, Michael Eickenberg, Siavash Golkar, Geraud Krawezik, Francois Lanusse, Mariel Pettee, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multistable Shape from Shading Emerges from Patch DiffusionXinran Nicole Han, Todd Zickler, Ko Nishino
Machine Learning
日本大学: 京都大学
2024 · NeurIPS
Multistep Distillation of Diffusion Models via Moment MatchingTim Salimans, Thomas Mensink, Jonathan Heek, Emiel Hoogeboom
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multivariate Probabilistic Time Series Forecasting with Correlated ErrorsVincent Zhihao Zheng, Lijun Sun
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models BenchmarkingGabriel Rioux, Apoorva Nitsure, Mattia Rigotti, Kristjan Greenewald, Youssef Mroueh
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Multiview Scene GraphJuexiao Zhang, Gao Zhu, Sihang Li, Xinhao Liu, Haorui Song, Xinran Tang, Chen Feng
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
MutaPLM: Protein Language Modeling for Mutation Explanation and EngineeringYizhen Luo, Zikun Nie, Massimo Hong, Suyuan Zhao, Hao Zhou, Zaiqing Nie
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mutli-Armed Bandits with Network InterferenceAbhineet Agarwal, Anish Agarwal, Lorenzo Masoero, Justin Whitehouse
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mutual Information Estimation via $f$-Divergence and Data DerangementsNunzio A. Letizia, Nicola Novello, Andrea M. Tonello
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Mutual Information Estimation via Normalizing FlowsButakov I. D., Tolmachev A. D., Malanchuk S. V., Neopryatnaya A. M., Frolov A. A.
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
N-agent Ad Hoc TeamworkCaroline Wang, Arrasy Rahman, Ishan Durugkar, Elad Liebman, Peter Stone
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
NVRC: Neural Video Representation CompressionHo Man Kwan, Ge Gao, Fan Zhang, Andrew Gower, David Bull
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video EditingTing-Hsuan Chen, Jiewen Chan, Hau-Shiang Shiu, Shih-Han Yen, Chang-Han Yeh, Yu-Lun Liu
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Natural Counterfactuals With Necessary BacktrackingGuang-Yuan Hao, Jiji Zhang, Biwei Huang, Hao Wang, Kun Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Nature-Inspired Local PropagationAlessandro Betti, Marco Gori
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and LimitsHaya Diwan, Jinrui Gou, Cameron Musco, Christopher Musco, Torsten Suel
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Navigating Chemical Space with Latent FlowsGuanghao Wei, Yining Huang, Chenru Duan, Yue Song, Yuanqi Du
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Navigating Extremes: Dynamic Sparsity in Large Output SpacesNasib Ullah, Erik Schultheis, Mike Lasby, Yani Ioannou, Rohit Babbar
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Navigating the Effect of Parametrization for Dimensionality ReductionHaiyang Huang, Yingfan Wang, Cynthia Rudin
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language ModelsSheng Yun Peng, Pin-Yu Chen, Matthew Hull, Duen Horng Chau
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative ModelMark Rowland, Li Kevin Wenliang, Rémi Munos, Clare Lyle, Yunhao Tang, Will Dabney
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Near-Optimal Distributed Minimax Optimization under the Second-Order SimilarityQihao Zhou, Haishan Ye, Luo Luo
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ NormsPierre Clavier, Laixi Shi, Erwan Le Pennec, Eric Mazumdar, Adam Wierman, Matthieu Geist
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPsLong-Fei Li, Peng Zhao, Zhi-Hua Zhou
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGDAniket Das, Dheeraj Nagaraj, Soumyabrata Pal, Arun Sai Suggala, Prateek Varshney
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Near-Optimality of Contrastive Divergence AlgorithmsPierre Glaser, Kevin Han Huang, Arthur Gretton
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Nearest Neighbor Speculative Decoding for LLM Generation and AttributionMinghan Li, Xilun Chen, Ari Holtzman, Beidi Chen, Jimmy Lin, Wen-tau Yih, Xi Victoria Lin
Machine Learning
日本大学: 関与なし(対象大学)
2024 · NeurIPS
Nearly Minimax Optimal Regret for Multinomial Logistic BanditJoongkyu Lee, Min-hwan Oh
Machine Learning
日本大学: 関与なし(対象大学)