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
EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem SolvingShihan Dou, Ming Zhang, Chenhao Huang, Jiayi Chen, Feng Chen, Shichun Liu, Yan Liu, Chenxiao Liu, CHENG ZHONG, Zongzhang Zhang, Tao Gui, Chao Xin, Wei Chengzhi, Lin Yan, Qi Zhang, Xuanjing Huang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Evaluating LLM-contaminated Crowdsourcing Data Without Ground TruthYichi Zhang, Jinlong Pang, Zhaowei Zhu, Yang Liu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Evaluating LLMs in Open-Source GamesSwadesh Sistla, Max Kleiman-Weiner
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Evaluating Robustness of Monocular Depth Estimation with Procedural Scene PerturbationsJack Nugent, Siyang Wu, Zeyu Ma, Beining Han, Meenal Parakh, Abhishek Joshi, Lingjie Mei, Alexander Raistrick, Xinyuan Li, Jia Deng
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by DeathSihyung Park, Wenbin Lu, Shu Yang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Evaluating multiple models using labeled and unlabeled dataDivya Shanmugam, Shuvom Sadhuka, Manish Raghavan, John Guttag, Bonnie Berger, Emma Pierson
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Evaluating the Inductive Abilities of Large Language Models: Why Chain-of-Thought Reasoning Sometimes Hurts More Than HelpsHaibo Jin, Peiyan Zhang, Man Luo, Haohan Wang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Eve3D: Elevating Vision Models for Enhanced 3D Surface Reconstruction via Gaussian SplattingJiawei Zhang, Youmin Zhang, Fabio Tosi, Meiying Gu, Jiahe Li, Xiaohan Yu, Jin Zheng, Xiao Bai, Matteo Poggi
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Event-Driven Dynamic Scene Depth CompletionZhiqiang Yan, Jianhao Jiao, Zhengxue Wang, Gim Hee Lee
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Event-Guided Consistent Video Enhancement with Modality-Adaptive Diffusion PipelineKanghao Chen, Zixin Zhang, Guoqiang Liang, Lutao Jiang, Zeyu Wang, Yingcong Chen
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Event-based HDR Structured LightJiacheng Fu, Yue Li, Xin Dong, Wenming Weng, Yueyi Zhang, Zhiwei Xiong
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
EventMG: Efficient Multilevel Mamba-Graph Learning for Spatiotemporal Event RepresentationSheng Wu, Lin Jin, Hui Feng, Bo Hu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time ScalingXinglin Wang, Yiwei Li, Shaoxiong Feng, Peiwen Yuan, 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
EverybodyDance: Bipartite Graph–Based Identity Correspondence for Multi-Character AnimationHaotian Ling, Zequn Chen, Qiuying Chen, Donglin Di, Yongjia Ma, Hao Li, Chen Wei, Zhulin Tao, Xun Yang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain NetworksRikuto Kotoge, Zheng Chen, Tasuku Kimura, Yasuko Matsubara, Takufumi Yanagisawa, Haruhiko Kishima, Yasushi Sakurai
Machine Learning
日本大学: 大阪大学
2025 · NeurIPS
EvoLM: In Search of Lost Training Dynamics for Language Model ReasoningZhenting Qi, Fan Nie, Alexandre Alahi, James Y Zou, Himabindu Lakkaraju, Yilun Du, Eric P Xing, Sham Kakade, Hanlin Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed BanditsYuzhou Gu, Yanjun Han, Jian Qian
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Evolutionary Prediction GamesEden Saig, Nir Rosenfeld
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language ModelsYasha Ektefaie, Andrew Shen, Lavik Jain, Maha Farhat, Marinka Zitnik
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
EvolvedGRPO: Unlocking Reasoning in LVLMs via Progressive Instruction EvolutionZhebei Shen, Qifan Yu, Juncheng Li, Wei Ji, Qizhi Chen, Siliang Tang, Yueting Zhuang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Evolving and Regularizing Meta-Environment Learner for Fine-Grained Few-Shot Class-Incremental LearningLi-Jun Zhao, Zhen-Duo Chen, Yongxin Wang, Xin Luo, Xin-Shun Xu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ExGra-Med: Extended Context Graph Alignment for Medical Vision-Language ModelsDuy M. H. Nguyen, Nghiem Diep, Trung Nguyen, Hoang-Bao Le, Tai D. Nguyen, Anh-Tien Nguyen, TrungTin Nguyen, Nhat Ho, Pengtao Xie, Roger Wattenhofer, Daniel Sonntag, James Y Zou, Mathias Niepert
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ExPO: Unlocking Hard Reasoning with Self-Explanation-Guided Reinforcement LearningRuiyang Zhou, Shuozhe Li, Amy Zhang, Liu Leqi
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exact Expressive Power of Transformers with PaddingWill Merrill, Ashish Sabharwal
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is AttainableBicheng Ying, Zhe Li, Haibo Yang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Execution Guided Line-by-Line Code GenerationBoaz Lavon, Shahar Katz, Lior Wolf
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Explainable Reinforcement Learning from Human Feedback to Improve AlignmentShicheng Liu, Siyuan Xu, Wenjie Qiu, Hangfan Zhang, Minghui Zhu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Explainably Safe Reinforcement LearningSabine Rieder, Stefan Pranger, Debraj Chakraborty, Jan Kretinsky, Bettina Könighofer
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf InteractionsHubert Baniecki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier, Przemyslaw Biecek
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Explaining and Mitigating Crosslingual Tokenizer InequitiesCatherine Arnett, Tyler Chang, Stella Biderman, Benjamin Bergen
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Explaining the Law of Supply and Demand via Online LearningStratis Skoulakis
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Explicitly Modeling Subcortical Vision with a Neuro-Inspired Front-End Improves CNN RobustnessLucas Piper, Arlindo L Oliveira, Tiago Marques
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploiting Dynamic Sparsity in EinsumChristoph Staudt, Mark Blacher, Tim Hoffmann, Lea Kasche, Olaf Beyersdorff, Joachim Giesen
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated PriorYue Gong, Raul Fernandez
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploiting Task Relationships in Continual Learning via Transferability-Aware Task EmbeddingsYanru Wu, Jianning Wang, Xiangyu Chen, Aurora, Yang Tan, Hanbing Liu, Yang Li
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploiting Vocabulary Frequency Imbalance in Language Model Pre-trainingWoojin Chung, Jeonghoon Kim
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit HypersphereLi Ju, Max Andersson, Stina Fredriksson, Edward Glöckner, Andreas Hellander, Ekta Vats, Prashant Singh
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RLTong Yang, Bo Dai, Lin Xiao, Yuejie Chi
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploration via Feature Perturbation in Contextual BanditsSeouh-won Yi, Min-hwan Oh
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Explore In-Context Message Passing Operator for Graph Neural Networks in A Mean Field GameTingting Dan, Xinwei Huang, Won Hwa Kim, Guorong Wu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human FeedbackWei Shen, Guanlin Liu, Yu Yue, Ruofei Zhu, Qingping Yang, Chao Xin, Lin Yan
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploring Diffusion Transformer Designs via GraftingKeshigeyan Chandrasegaran, Michael Poli, Dan Fu, Dongjun Kim, Lea M. Hadzic, Manling Li, Agrim Gupta, Stefano Massaroli, Azalia Mirhoseini, Juan Carlos Niebles, Stefano Ermon, Fei-Fei Li
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploring Landscapes for Better Minima along ValleysTong Zhao, Jiacheng Li, Yuanchang Zhou, Guangming Tan, Weile Jia
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex DataHarsh Poonia, Felix Divo, Kristian Kersting, Devendra Singh Dhami
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models PretrainingPing Guo, Yubing Ren, binbin liu, Fengze Liu, Haobin Lin, Yifan Zhang, Bingni Zhang, Taifeng Wang, Yin Zheng
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty ReductionJin Hu, Jiakai Wang, linna Jing, Haolin Li, Liu haodong, Haotong Qin, Aishan Liu, Ke Xu, Xianglong Liu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploring Structural Degradation in Dense Representations for Self-supervised LearningSiran Dai, Qianqian Xu, Peisong Wen, Yang Liu, Qingming Huang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploring Tradeoffs through Mode Connectivity for Multi-Task LearningZhipeng Zhou, Ziqiao Meng, Pengcheng Wu, Peilin Zhao, Chunyan Miao
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploring and Exploiting Model Uncertainty in Bayesian OptimizationZishi Zhang, Tao Ren, Yijie Peng
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploring and Leveraging Class Vectors for Classifier EditingJaeik Kim, Jaeyoung Do
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploring the Design Space of Diffusion Bridge ModelsShaorong Zhang, Yuanbin Cheng, Greg Ver Steeg
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploring the Limits of Vision-Language-Action Manipulation in Cross-task GeneralizationJiaming Zhou, Ke Ye, Jiayi Liu, Teli Ma, Zifan Wang, Ronghe QIU, Kun-Yu Lin, Zhilin Zhao, Junwei Liang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploring the Noise Robustness of Online Conformal PredictionHuaJun Xi, Kangdao Liu, Hao Zeng, Wenguang Sun, Hongxin Wei
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploring the Translation Mechanism of Large Language ModelsHongbin Zhang, Kehai Chen, Xuefeng Bai, Xiucheng Li, Yang Xiang, Min zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exploring the limits of strong membership inference attacks on large language modelsJamie Hayes, I Shumailov, Christopher A. Choquette-Choo, Matthew Jagielski, Georgios Kaissis, Milad Nasr, Meenatchi Sundaram Muthu Selva Annamalai, Niloofar Mireshghallah, Igor Shilov, Matthieu Meeus, Yves-Alexandre de Montjoye, Katherine Lee, Franziska Boenisch, Adam Dziedzic, A. Feder Cooper
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exponential Convergence Guarantees for Iterative Markovian FittingMarta Gentiloni Silveri, Giovanni Conforti, Alain Durmus
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Exponential Dynamic Energy Network for High Capacity Sequence MemoryArjun Karuvally, Pichsinee Lertsaroj, Terrence J. Sejnowski, Hava T. Siegelmann
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Extracting task-relevant preserved dynamics from contrastive aligned neural recordingsYiqi Jiang, Kaiwen Sheng, Yujia Gao, Estefany Kelly Buchanan, Yu Shikano, Seung Je Woo, Yixiu Zhao, Tony Hyun Kim, Fatih Dinc, Scott Linderman, Mark J. Schnitzer
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Extragradient Method for $(L_0, L_1)$-Lipschitz Root-finding ProblemsSayantan Choudhury, Nicolas Loizou
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Extrapolation by Association: Length Generalization Transfer In TransformersZiyang Cai, Nayoung Lee, Avi Schwarzschild, Samet Oymak, Dimitris Papailiopoulos
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and SegmentationMoru Liu, Hao Dong, Jessica Kelly, Olga Fink, Mario Trapp
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Eyes Wide Open: Ego Proactive Video-LLM for Streaming VideoXueyang Yu, Cheng Shi, Yang Wang, Sibei Yang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
F-Adapter: Frequency-Adaptive Parameter-Efficient Fine-Tuning in Scientific Machine LearningHangwei Zhang, Chun Kang, Yan Wang, Difan Zou
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM TokensChao Wang, Yixin Song, Jinhui Ye, Chuan Qin, Dazhong Shen, Lingfeng Liu, Xiang Wang, Yanyong Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FACE: Faithful Automatic Concept ExtractionDipkamal Bhusal, Michael Clifford, Sara Rampazzi, Nidhi Rastogi
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FACT: Mitigating Inconsistent Hallucinations in LLMs via Fact-Driven Alternating Code-Text TrainingXinxin You, Qixin Sun, Chenwei Yan, Xiao Zhang, Chen Ning, Xiangling Fu, Si Liu, Guoping Hu, Shijin Wang, Ji Wu, Xien Liu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FADRM: Fast and Accurate Data Residual Matching for Dataset DistillationJiacheng Cui, Xinyue Bi, Yaxin Luo, Xiaohan Zhao, Jiacheng Liu, Zhiqiang Shen
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit DesignAsal Mehradfar, Xuzhe Zhao, Yilun Huang, Emir Ceyani, Yankai Yang, Shihao han, Hamidreza Aghasi, Salman Avestimehr
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language ModelJinwei Hu, Zhenglin Huang, Xiangyu Yin, Wenjie Ruan, Guangliang Cheng, Yi Dong, Xiaowei Huang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point ArithmeticKanghyun Choi, Hyeyoon Lee, Sunjong Park, Dain Kwon, Jinho Lee
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FAME: Adaptive Functional Attention with Expert Routing for Function-on-Function RegressionYifei Gao, Yong Chen, Chen Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FAN: Fourier Analysis NetworksYihong Dong, Ge Li, Yongding Tao, Xue Jiang, Kechi Zhang, Jia Li, Jinliang Deng, Jing Su, Jun Zhang, Jingjing Xu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FANS: A Flatness-Aware Network Structure for Generalization in Offline Reinforcement LearningDa Wang, Yi Ma, Ting Guo, Hongyao Tang, Wei Wei, Jiye Liang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FAPEX: Fractional Amplitude-Phase Expressor for Robust Cross-Subject Seizure PredictionRuizhe Zheng, Lingyan Mao, DINGDING HAN, Tian Luo, Yi Wang, Jing Ding, Yuguo Yu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FAST: Foreground‑aware Diffusion with Accelerated Sampling Trajectory for Segmentation‑oriented Anomaly Synthesisxichen xu, Yanshu Wang, Jinbao Wang, XiaoNing Lei, Guoyang Xie, GUANNAN JIANG, Zhichao Lu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FEAT: Free energy Estimators with Adaptive TransportYuanqi Du, Jiajun He, Francisco Vargas, Yuanqing Wang, Carla P. Gomes, José Miguel Hernández-Lobato, Eric Vanden-Eijnden
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FEEDBACK FRICTION: LLMs Struggle to Fully Incorporate External FeedbackDongwei Jiang, Bowei Zhang, Andrew Wang, Nicholas Andrews, Daniel Khashabi
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FFN Fusion: Rethinking Sequential Computation in Large Language ModelsAkhiad Bercovich, Mohammed Dabbah, Omri Puny, Ido Galil, Amnon Geifman, Yonatan Geifman, Izik Golan, Ehud Karpas, Itay Levy, Zach Moshe, Najeeb Nabwani, Tomer Ronen, Itamar Schen, Ido Shahaf, Oren Tropp, Ran Zilberstein, Ran El-Yaniv
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FHGS: Feature-Homogenized Gaussian Splattingqigeng duan, Benyun ZHAO, Mingqiao Han, Yijun Huang, Ben Chen
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FIGRDock: Fast Interaction-Guided Regression for Flexible DockingShikun Feng, Bicheng Lin, Yuanhuan Mo, Yuyan Ni, Wenyu Zhu, Bowen Gao, Wei-Ying Ma, haitao li, Yanyan Lan
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FIPER: Factorized Features for Robust Image Super-Resolution and CompressionYang-Che Sun, Cheng-Yu Yeo, Ernie Chu, Jun-Cheng Chen, Yu-Lun Liu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FLAME: Fast Long-context Adaptive Memory for Event-based VisionBiswadeep Chakraborty, Saibal Mukhopadhyay
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FLOWING: Implicit Neural Flows for Structure-Preserving MorphingArthur Bizzi, Matias Grynberg Portnoy, Vitor Pereira Matias, Daniel Perazzo, João Paulo Silva do Monte Lima, Luiz Velho, Nuno Gonçalves, João Pereira, Guilherme Schardong, Tiago Novello
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution ShiftsDario Fenoglio, Mohan Li, Pietro Barbiero, Nicholas D. Lane, Marc Langheinrich, Martin Gjoreski
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FNOPE: Simulation-based inference on function spaces with Fourier Neural OperatorsGuy Moss, Leah Muhle, Reinhard Drews, Jakob H Macke, Cornelius Schröder
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question AnsweringLiangyu Zhong, Fabio Philipp Rosenthal, Joachim Sicking, Fabian Hüger, Thorsten Bagdonat, Hanno Gottschalk, Leo Schwinn
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential SegmentationFan Yang, Yousong Zhu, Xin Li, Yufei Zhan, Hongyin Zhao, Shurong Zheng, Yaowei Wang, Ming Tang, Jinqiao Wang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FORLA: Federated Object-Centric Representation Learning with Slot AttentionGuiqiu Liao, Matjaz Jogan, Eric Eaton, Daniel Hashimoto
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FP4 All the Way: Fully Quantized Training of Large Language ModelsBrian Chmiel, Maxim Fishman, Ron Banner, Daniel Soudry
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FP64 is All You Need: Rethinking Failure Modes in Physics-Informed Neural NetworksChenhui Xu, Dancheng Liu, Amir Nassereldine, Jinjun Xiong
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video DiffusionAkide Liu, Zeyu Zhang, Zhexin Li, Xuehai Bai, Yuanjie Xing, Yizeng Han, Jiasheng Tang, Jichao Wu, Mingyang Yang, Weihua Chen, Jiahao He, Yuanyu He, Fan Wang, Reza Haffari, Bohan Zhuang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision ComputingBinrui Shen, LiangYuan, Shengxin Zhu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FRBNet: Revisiting Low-Light Vision through Frequency-Domain Radial Basis NetworkFangtong Sun, Congyu Li, Ke Yang, Yuchen Pan, Hanwen Yu, Xichuan Zhang, Yiying Li
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FRN: Fractal-Based Recursive Spectral Reconstruction NetworkGe Meng, Zhongnan Cai, Ruizhe Chen, Jingyan Tu, Yingying Wang, Yue Huang, Xinghao Ding
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective OptimizationXunzhao Yu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FSI-Edit: Frequency and Stochasticity Injection for Flexible Diffusion-Based Image EditingKaixiang Yang, Xin Li, Yuxi Li, Qiang Li, Zhiwei Wang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with GuaranteesHoang Nguyen, Priya Donti
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal VelocitiesJin Wang, Yao Lai, Aoxue Li, Shifeng Zhang, Jiacheng Sun, Ning Kang, Chengyue Wu, Zhenguo Li, Ping Luo
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
FaCT: Faithful Concept Traces for Explaining Neural Network DecisionsAmin Parchami-Araghi, Sukrut Rao, Jonas Fischer, Bernt Schiele
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Fact-R1: Towards Explainable Video Misinformation Detection with Deep ReasoningFanrui Zhang, Dian Li, Qiang Zhang, Chenjun, sinbadliu, Junxiong Lin, Jiahong Yan, Jiawei Liu, Zheng-Jun Zha
Machine Learning
日本大学: 関与なし(対象大学)