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
Cancer Survival Analysis via Zero-shot Tumor Microenvironment Segmentation on Low-resolution Whole Slide Pathology ImagesJiao Tang, WEI SHAO, Daoqiang Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Caption This, Reason That: VLMs Caught in the MiddleZihan Weng, Lucas Gomez, Taylor Webb, Pouya Bashivan
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Capturing Individual Human Preferences with Reward FeaturesAndre Barreto, Vincent Dumoulin, Yiran Mao, Mark Rowland, Nicolas Perez-Nieves, Bobak Shahriari, Yann Dauphin, Doina Precup, Hugo Larochelle
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description FrameworkLaura Kopf, Nils Feldhus, Kirill Bykov, Philine L Bommer, Anna Hedström, Marina Höhne, Oliver Eberle
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Cascaded Language Models for Cost-Effective Human–AI Decision-MakingClaudio Fanconi, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Causal Climate Emulation with Bayesian FilteringSebastian H. M. Hickman, Ilija Trajković, Julia Kaltenborn, Francis Pelletier, Alex Archibald, Yaniv Gurwicz, Peer Nowack, David Rolnick, Julien Boussard
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation LearningNavita Goyal, Hal Daumé III, Alexandre Drouin, Dhanya Sridhar
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Causal Discovery and Inference through Next-Token PredictionEivinas Butkus, Nikolaus Kriegeskorte
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Causal Discovery over Clusters of Variables in Markovian SystemsTara Anand, Adèle Ribeiro, Jin Tian, George Hripcsak, Elias Bareinboim
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Causal Explanation-Guided Learning for Organ AllocationAlessandro Marchese, Jeroen Berrevoets, Sam Verboven
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in TransformersAndrew Nam, Henry Conklin, Yukang Yang, Tom Griffiths, Jonathan D Cohen, Sarah-Jane Leslie
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Causal LLM Routing: End-to-End Regret Minimization from Observational DataAsterios Tsiourvas, Wei Sun, Georgia Perakis
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Causal Mixture Models: Characterization and DiscoverySarah Mameche, Janis Kalofolias, Jilles Vreeken
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal ApproachYuting Huang, Ziquan Fang, Zhihao Zeng, Lu Chen, Yunjun Gao
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Causal Sufficiency and Necessity Improves Chain-of-Thought ReasoningXiangning Yu, Zhuohan Wang, Linyi Yang, Haoxuan Li, Anjie Liu, Xiao Xue, Jun Wang, Mengyue Yang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution ExplorationWenjun Wu, Lingling Zhang, Bo Zhao, Muye Huang, QianYing Wang, Jun Liu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
CausalPFN: Amortized Causal Effect Estimation via In-Context LearningVahid Balazadeh Meresht, Hamidreza Kamkari, Valentin Thomas, Junwei Ma, Bingru Li, Jesse C. Cresswell, Rahul G Krishnan
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
CausalVTG: Towards Robust Video Temporal Grounding via Causal InferenceQiyi Wang, Senda Chen, Ying Shen
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked SystemsHao Liang, shuqing shi, Yudi Zhang, Biwei Huang, Yali Du
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Causality Meets the Table: Debiasing LLMs for Faithful TableQA via Front-Door InterventionZhen Yang, Ziwei Du, Minghan Zhang, Wei Du, Jie Chen, Fulan Qian, Shu Zhao
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential FeaturesKaichen Xu, Yihang Du, Mianpeng Liu, Zimu Yu, Xiaobo Sun
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Causally Reliable Concept Bottleneck ModelsGiovanni De Felice, Arianna Casanova Flores, Francesco De Santis, Silvia Santini, Johannes Schneider, Pietro Barbiero, Alberto Termine
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
CellCLIP - Learning Perturbation Effects in Cell Painting via Text-Guided Contrastive LearningMingYu Lu, Ethan Weinberger, Chanwoo Kim, Su-In Lee
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement LearningHaozhe Ma, Zhengding Luo, Thanh Vinh Vo, Kuankuan Sima, Tze-Yun Leong
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Certifying Concavity and Monotonicity in Games via Sum-of-Squares HierarchiesVincent Leon, Iosif Sakos, Ryann Sim, Antonios Varvitsiotis
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Certifying Deep Network Risks and Individual Predictions with PAC-Bayes Loss via Localized PriorsWen Dong
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov FunctionsKehan Long, Jorge Cortes, Nikolay Atanasov
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel LearningChau Pham, Juan C. Caicedo, Bryan A. Plummer
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Chain of Execution Supervision Promotes General Reasoning in Large Language ModelsNuo Chen, Zehua Li, Keqin Bao, Junyang Lin, Dayiheng Liu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Chain-of-Action: Trajectory Autoregressive Modeling for Robotic ManipulationWenbo Zhang, Tianrun Hu, Hanbo Zhang, Yanyuan Qiao, Yuchu Qin, Yang Li, Jiajun Liu, Tao Kong, Lingqiao Liu, Xiao Ma
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Chain-of-Model Learning for Language ModelXiaohua Wang, Kaitao Song, Xu Tan, Huiqiang Jiang, Chengruidong Zhang, Yongliang Shen, Cen Lu, Zihao Li, Zifan Song, Caihua Shan, Yansen Wang, Kan Ren, Xiaoqing Zheng, Tao Qin, Yuqing Yang, Dongsheng Li, Lili Qiu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Chain-of-Retrieval Augmented GenerationLiang Wang, Haonan Chen, Nan Yang, Xiaolong Huang, Zhicheng Dou, Furu Wei
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference AlignmentBryan Sangwoo Kim, Jeongsol Kim, Jong Chul Ye
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Channel Matters: Estimating Channel Influence for Multivariate Time SeriesMuyao Wang, Zeke Xie, Bo Chen, Hongwei Liu, James Kwok
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Channel Simulation and Distributed Compression with Ensemble Rejection SamplingTruong Buu Phan, Ashish Khisti
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Characterization and Learning of Causal Graphs from Hard InterventionsZihan Zhou, Muhammad Qasim Elahi, Murat Kocaoglu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Characterizing control between interacting subsystems with deep Jacobian estimationAdam J. Eisen, Mitchell Ostrow, Sarthak Chandra, Leo Kozachkov, Earl Miller, Ila Fiete
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Characterizing the Expressivity of Fixed-Precision Transformer Language ModelsJiaoda Li, Ryan Cotterell
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart UnderstandingMuye Huang, Lingling Zhang, Jie Ma, Han Lai, Fangzhi Xu, Yifei Li, Wenjun Wu, Yaqiang Wu, Jun Liu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ChatVLA-2: Vision-Language-Action Model with Open-World ReasoningZhongyi Zhou, Yichen Zhu, Xiaoyu Liu, Zhibin Tang, Junjie Wen, Yaxin Peng, Chaomin Shen, Yi Xu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ChatbotID: Identifying Chatbots with Granger Causality TestXiaoquan Yi, Haozhao Wang, Yining Qi, Wenchao Xu, Rui Zhang, Yuhua Li, Ruixuan Li
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Checklists Are Better Than Reward Models For Aligning Language ModelsVijay Viswanathan, Yanchao Sun, Xiang Kong, Meng Cao, Graham Neubig, Sherry Wu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ChemOrch: Empowering LLMs with Chemical Intelligence via Groundbreaking Synthetic InstructionsYue Huang, Zhengzhe Jiang, Xiaonan Luo, Kehan Guo, Haomin Zhuang, Yujun Zhou, Zhengqing Yuan, Xiaoqi Sun, Jules Schleinitz, Yanbo Wang, Shuhao Zhang, Mihir Surve, Nitesh Chawla, Olaf Wiest, Xiangliang Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Chirality in Action: Time-Aware Video Representation Learning by Latent StraighteningPiyush Nitin Bagad, Andrew Zisserman
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Chiron-o1: Igniting Multimodal Large Language Models towards Generalizable Medical Reasoning via Mentor-Intern Collaborative SearchHaoran Sun, Yankai Jiang, Wenjie Lou, Yujie Zhang, Wenjie Li, Lilong Wang, Mianxin Liu, Lei Liu, Xiaosong Wang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibiltiy DataYifeng Jiao, Yuchen Liu, Yu Zhang, Xin Guo, Yushuai Wu, Chen Jiang, Jiyang Li, Hongwei Zhang, LIMEI HAN, Xin Gao, Yuan Qi, Yuan Cheng
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM InferenceXiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Liuyue, Bo Li, Xuming Hu, Xiaowen Chu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Class conditional conformal prediction for multiple inputs by p-value aggregationJean-Baptiste Fermanian, Mohamed Hebiri, Joseph Salmon
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Class-aware Domain Knowledge Fusion and Fission for Continual Test-Time AdaptationJiahuan Zhou, Chao 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
Class-wise Balancing Data Replay for Federated Class-Incremental LearningZhuang Qi, Ying-Peng Tang, Lei Meng, Han Yu, Xiaoxiao Li, Xiangxu Meng
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python CodeAugusto B. Corrêa, André G. Pereira, Jendrik Seipp
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network VerificationDuo Zhou, Jorge Chavez, Hesun Chen, Grani A. Hanasusanto, Huan Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like ModelsDhruva Karkada, James Simon, Yasaman Bahri, Michael R. Deweese
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Cloud4D: Estimating Cloud Properties at a High Spatial and Temporal ResolutionJacob Lin, Edward Gryspeerdt, Ronald Clark
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective PrimitiveXinhao Luo, Zihan Liu, Yangjie Zhou, Shihan Fang, Ziyu Huang, Yu Feng, Chen Zhang, Shixuan Sun, Zhenzhe Zheng, Jingwen Leng, Minyi Guo
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Clustering via Hedonic Games: New Concepts and AlgorithmsGergely Csáji, Alexander Gundert, Jörg Rothe, Ildikó Schlotter
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Co-Evolving LLM Coder and Unit Tester via Reinforcement LearningYinjie Wang, Ling Yang, Ye Tian, Ke Shen, Mengdi Wang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Co-PatcheR: Collaborative Software Patching with Component-specific Small Reasoning ModelsYuheng Tang, Hongwei Li, Kaijie Zhu, Michael Yang, Yangruibo Ding, Wenbo Guo
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Co-Regularization Enhances Knowledge Transfer in High DimensionsShuo Shuo Liu, Haotian Lin, Matthew Reimherr, Runze Li
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Co-Reinforcement Learning for Unified Multimodal Understanding and GenerationJingjing Jiang, Chongjie Si, Jun Luo, Hanwang Zhang, Chao Ma
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action ModelDapeng Zhang, Fei Shen, Rui Zhao, Yinda Chen, Peng Zhi, Chenyang Li, Rui Zhou, Qingguo Zhou
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMsRoman Vashurin, Maiya Goloburda, Albina Ilina, Aleksandr Rubashevskii, Preslav Nakov, Artem Shelmanov, Maxim Panov
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
CoDA: Coordinated Diffusion Noise Optimization for Whole-Body Manipulation of Articulated ObjectsHuaijin Pi, Zhi Cen, Zhiyang Dou, Taku Komura
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
CoFFT: Chain of Foresight-Focus Thought for Visual Language ModelsXinyu Zhang, Yuxuan Dong, Lingling Zhang, Chengyou Jia, Zhuohang Dang, Basura Fernando, Jun Liu, Mike Zheng Shou
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity OptimizationYichen Yan, Ming Zhong, Qi Zhu, Xiaoling Gu, Jinpeng Chen, Huan Li
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
CoLT: The conditional localization test for assessing the accuracy of neural posterior estimatesTianyu Chen, Vansh Bansal, James Scott
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
CoP: Agentic Red-teaming for Large Language Models using Composition of PrinciplesChen Xiong, Pin-Yu Chen, Tsung-Yi Ho
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
CoT Information: Improved Sample Complexity under Chain-of-Thought SupervisionAwni Altabaa, Omar Montasser, John D. Lafferty
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
CoT Red-Handed: Stress Testing Chain-of-Thought MonitoringBenjamin Arnav, Pablo Bernabeu-Perez, Nathan Helm-Burger, Timothy H. Kostolansky, Hannes Whittingham, Mary Phuong
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-stepZheyuan Liu, Munan Ning, Qihui Zhang, Shuo Yang, Zhongrui Wang, Yiwei Yang, Xianzhe Xu, Yibing Song, Weihua Chen, Fan Wang, Li Yuan
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
CoUn: Empowering Machine Unlearning via Contrastive LearningYasser Khalil, Mehdi Setayesh, Hongliang Li
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
CoVoMix2: Advancing Zero-Shot Dialogue Generation with Fully Non-Autoregressive Flow MatchingLeying Zhang, Yao Qian, Xiaofei Wang, Manthan Thakker, Dongmei Wang, Jianwei Yu, Haibin Wu, Yuxuan Hu, Jinyu Li, Yanmin Qian, sheng zhao
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Coarse-to-Fine 3D Part Assembly via Semantic Super-Parts and Symmetry-Aware Pose EstimationXinyi Zhang, Bingyang Wei, Ruixuan Yu, Jian Sun
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Reinforcement LearningYounggyo Seo, Pieter Abbeel
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering TasksHongyuan Tao, Ying Zhang, Zhenhao Tang, Hongen Peng, Xukun Zhu, Bingchang Liu, Yingguang Yang, Ziyin Zhang, Zhaogui Xu, Haipeng Zhang, Linchao Zhu, Rui Wang, Hang Yu, Jianguo Li, Peng Di
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
CodeCrash: Exposing LLM Fragility to Misleading Natural Language in Code ReasoningMan Ho Lam, Chaozheng Wang, Jen-Tse Huang, Michael R Lyu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMsGunho Park, Jeongin Bae, Byeongwook Kim, Baeseong Park, Jiwon Ryu, Hoseung Kim, Se Jung Kwon, Dongsoo Lee
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous DrivingHuitong Yang, Zhuoxiao Chen, Fengyi Zhang, Zi Huang, Yadan Luo
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Codifying Character Logic in Role-PlayingLetian Peng, Jingbo Shang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
CogVLA: Cognition-Aligned Vision-Language-Action Models via Instruction-Driven Routing & SparsificationWei Li, Renshan Zhang, Rui Shao, Jie He, Liqiang Nie
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Cognitive Mirrors: Exploring the Diverse Functional Roles of Attention Heads in LLM ReasoningXueqi Ma, Jun Wang, Yanbei Jiang, Sarah Erfani, Tongliang Liu, James Bailey
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Cognitive Predictive Processing: A Human-inspired Framework for Adaptive Exploration in Open-World Reinforcement Learningboheng liu, Ziyu Li, Chenghua Duan, YuTian Liu, Zhuo Wang, Xiuxing Li, Qing Li, Xia Wu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Collaborative Reasoner: Self-Improving Social Agents with Synthetic ConversationsAnsong Ni, Ruta Desai, Yang Li, Xinjie Lei, Dong Wang, Jiemin Zhang, Jane Yu, Ramya Raghavendra, Gargi Ghosh, Shang-Wen Li, Asli Celikyilmaz
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Collaborative and Confidential Junction Trees for Hybrid Bayesian NetworksRoberto Gheda, Abele Mălan, Thiago Guzella, Carlo Lancia, Robert Birke, Lydia Chen
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Collapsing Taylor Mode Automatic DifferentiationFelix Dangel, Tim Siebert, Marius Zeinhofer, Andrea Walther
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Collective Counterfactual Explanations: Balancing Individual Goals and Collective DynamicsAhmad-Reza Ehyaei, Ali Shirali, Samira Samadi
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Color Conditional Generation with Sliced Wasserstein GuidanceAlexander Lobashev, Maria Larchenko, Dmitry Guskov
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Coloring Learning for Heterophilic Graph RepresentationMiaomiao Huang, Yuhai Zhao, Daniel Zhengkui Wang, Fenglong Ma, Yejiang Wang, Meixia Wang, Xingwei Wang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ComPO: Preference Alignment via Comparison OraclesPeter Chen, Xi Chen, Wotao Yin, Tianyi Lin
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ComRank: Ranking Loss for Multi-Label Complementary Label LearningJing-Yi Zhu, Yi Gao, Miao Xu, Min-Ling Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Combinatorial Ski Rental Problem: Robust and Learning-Augmented AlgorithmsZiwei Li, Bo Sun, Zhiqiu Zhang, Mohammad Hajiesmaili, Binghan Wu, Lin F. Yang, Yang Gao
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Combining Cost Constrained Runtime Monitors for AI SafetyTim Hua, James Baskerville, Henri Lemoine, Mia Hopman, Aryan Bhatt, Tyler Tracy
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ComfyMind: Toward General-Purpose Generation via Tree-Based Planning and Reactive FeedbackLitao Guo, Xinli Xu, Luozhou Wang, Jiantao Lin, Jinsong Zhou, Zixin Zhang, Bolan Su, Yingcong Chen
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict MechanismKunyun Wang, Bohan Li, Kai Yu, Minyi Guo, Jieru Zhao
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCoZachary Charles, Gabriel Teston, Lucio Dery, John Rush, Nova Fallen, Zachary Garrett, Arthur D. Szlam, Arthur Douillard
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Compact Memory for Continual Logistic RegressionYohan Jung, Hyungi Lee, Wenlong Chen, Thomas Möllenhoff, Yingzhen Li, Juho Lee, Mohammad Emtiyaz Khan
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Comparator-Adaptive $\Phi$-Regret: Improved Bounds, Simpler Algorithms, and Applications to GamesSoumita Hait, Ping Li, Haipeng Luo, Mengxiao Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret MinimizationMarius Potfer, Vianney Perchet
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Competitive Advantage Attacks to Decentralized Federated LearningYuqi Jia, Minghong Fang, Neil Gong
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement LearningHaolin Pan, Hongyu Lin, Haoran Luo, Yang Liu, Kaichun Yao, Libo Zhang, Mingjie Xing, Yanjun Wu
Machine Learning
日本大学: 関与なし(対象大学)