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
Memory-Augmented Potential Field Theory: A Framework for Adaptive Control in Non-Convex DomainsDongzhe Zheng, Wenjie Mei
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Memory-Efficient Training with In-Place FFT ImplementationXINYU DING, Bangtian Liu, Siyu Liao, Zhongfeng Wang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache CompressionKunjun Li, Zigeng Chen, Cheng-Yen Yang, Jenq-Neng Hwang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Memory-Enhanced Neural Solvers for Routing ProblemsFelix Chalumeau, Refiloe Shabe, Noah De Nicola, Arnu Pretorius, Tom Barrett, Nathan Grinsztajn
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple TasksSusmit Agrawal, Krishn Vishwas Kher, Saksham Mittal, Swarnim Maheshwari, Vineeth N Balasubramanian
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Merging on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model MergingAnke Tang, Enneng Yang, Li Shen, Yong Luo, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial ReasoningJinkun Hao, Naifu Liang, Zhen Luo, Xudong XU, Weipeng Zhong, Ran Yi, Yichen Jin, Zhaoyang Lyu, Feng Zheng, Lizhuang Ma, Jiangmiao Pang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mesh Interpolation Graph Network for Dynamic and Spatially Irregular Global Weather ForecastingZinan Zheng, Yang Liu, Jia Li
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-TuningJian Liu, Jing Xu, Song Guo, Jing Li, jingfeng Guo, Jiaao Yu, Haohan Weng, Biwen Lei, Xianghui Yang, Zhuo Chen, Fangqi Zhu, Tao Han, Chunchao Guo
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MeshCoder: LLM-Powered Structured Mesh Code Generation from Point CloudsBingquan Dai, Luo Li, Qihong Tang, Jie Wang, Xinyu Lian, Hao Xu, Minghan Qin, Xudong XU, Bo Dai, Haoqian Wang, Zhaoyang Lyu, Jiangmiao Pang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Meta CLIP 2: A Worldwide Scaling RecipeYung-Sung Chuang, Yang Li, Dong Wang, Ching-Feng Yeh, Kehan Lyu, Ramya Raghavendra, Jim Glass, Lifei Huang, Jason E Weston, Luke Zettlemoyer, Xinlei Chen, Zhuang Liu, Saining Xie, Scott Yih, Shang-Wen Li, Hu Xu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Meta Guidance: Incorporating Inductive Biases into Deep Time Series ImputersJiacheng You, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Meta-D2AG: Causal Graph Learning with Interventional Dynamic DataTian Gao, Songtao Lu, Junkyu Lee, Elliot Nelson, Debarun Bhattacharjya, Yue Yu, Miao Liu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Meta-Learning Objectives for Preference OptimizationCarlo Alfano, Silvia Sapora, Jakob Foerster, Patrick Rebeschini, Yee Whye Teh
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Meta-Learning an In-Context Transformer Model of Human Higher Visual CortexMuquan Yu, Mu Nan, Hossein Adeli, Jacob Prince, John A. Pyles, Leila Wehbe, Maggie Henderson, Michael J. Tarr, Andrew Luo
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Meta-learning how to Share Credit among Macro-ActionsIonel-Alexandru Hosu, Traian Rebedea, Razvan Pascanu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MetaDefense: Defending Fine-tuning based Jailbreak Attack Before and During GenerationWeisen Jiang, Sinno Jialin Pan
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MetaFind: Scene-Aware 3D Asset Retrieval for Coherent Metaverse Scene GenerationZhenyu Pan, Yucheng Lu, Han Liu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MetaGS: A Meta-Learned Gaussian-Phong Model for Out-of-Distribution 3D Scene RelightingYumeng He, Yunbo Wang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution ShiftsMahmoud Selim, Sriharsha Bhat, Karl H. Johansson
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent SystemsXuanming Zhang, Yuxuan Chen, Samuel (Min-Hsuan) Yeh, Sharon Li
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MetaSlot: Break Through the Fixed Number of Slots in Object-Centric LearningHongjia Liu, Rongzhen Zhao, Haohan Chen, Joni K. Pajarinen
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Metis: A Foundation Speech Generation Model with Masked Generative Pre-trainingYuancheng Wang, Jiachen Zheng, Junan Zhang, Xueyao Zhang, Huan Liao, Zhizheng Wu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Metric Automata Theory: A Unifying Theory of RNNsAdam Dankowiakowski, Alessandro Ronca
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Metritocracy: Representative Metrics for Lite BenchmarksAriel D Procaccia, Ben Schiffer, Serena Wang, Shirley Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Metropolis Adjusted Microcanonical Hamiltonian Monte CarloJakob Robnik, Reuben Cohn-Gordon, Uros Seljak
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Metropolis-Hastings Sampling for 3D Gaussian ReconstructionHyunjin Kim, Haebeom Jung, Jaesik Park
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MiCADangelo: Fine-Grained Reconstruction of Constrained CAD Models from 3D ScansAhmet Karadeniz, Dimitrios Mallis, Danila Rukhovich, Kseniya Cherenkova, Anis Kacem, Djamila Aouada
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MiCo: Multi-image Contrast for Reinforcement Visual ReasoningXi Chen, Mingkang Zhu, Shaoteng Liu, Xiaoyang Wu, Xiaogang Xu, Yu Liu, Xiang Bai, Hengshuang Zhao
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across VersionsPucheng Dang, Di Huang, Dong Li, Kang Chen, Yuanbo Wen, Qi Guo, Xing Hu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mind the GAP! The Challenges of Scale in Pixel-based Deep Reinforcement LearningGhada Sokar, Pablo Samuel Castro
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought TuningHaolei Xu, Yuchen Yan, Yongliang Shen, Wenqi Zhang, Guiyang Hou, Shengpei Jiang, Kaitao Song, Weiming Lu, Jun Xiao, Yueting Zhuang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate NetworksShakir Yousefi, Andreas Plesner, Till Aczel, Roger Wattenhofer
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play ModulesYueqi Zhang, Peiwen Yuan, Yiwei Li, Shaoxiong Feng, Xinglin Wang, 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
Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven GenerationAbdelrahman Eldesokey, Aleksandar Cvejić, Bernard Ghanem, Peter Wonka
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MindForge: Empowering Embodied Agents with Theory of Mind for Lifelong Cultural LearningMircea Lică, Ojas Shirekar, Baptiste Colle, Chirag Raman
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MindJourney: Test-Time Scaling with World Models for Spatial ReasoningYuncong Yang, Jiageng Liu, Zheyuan Zhang, Siyuan Zhou, Reuben Tan, Jianwei Yang, Yilun Du, Chuang Gan
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPOYicheng Xiao, Lin Song, Yukang Chen, Yingmin Luo, Yuxin Chen, Yukang Gan, Wei Huang, Xiu Li, Xiaojuan Qi, Ying Shan
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MiniMax-Remover: Taming Bad Noise Helps Video Object RemovalBojia Zi, Weixuan Peng, Xianbiao Qi, Jianan Wang, Shihao Zhao, Rong Xiao, Kam-Fai Wong
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Minimal Semantic Sufficiency Meets Unsupervised Domain GeneralizationTan Pan, Kaiyu Guo, Dongli Xu, Zhaorui Tan, Chen Jiang, Deshu Chen, Xin Guo, Brian Lovell, LIMEI HAN, Yuan Cheng, Mahsa Baktashmotlagh
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Minimax Adaptive Online Nonparametric Regression over Besov spacesPaul Liautaud, Pierre Gaillard, Olivier Wintenberger
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection GapShixiang Liu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Minimizing False-Positive Attributions in Explanations of Non-Linear ModelsAnders Gjølbye, Stefan Haufe, Lars Kai Hansen
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Minimum Width for Deep, Narrow MLP: A Diffeomorphism ApproachGeonho Hwang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common CorruptionsWenxuan Bao, Ruxi Deng, Jingrui He
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MisoDICE: Multi-Agent Imitation from Mixed-Quality DemonstrationsThe Viet Bui, Tien Mai, Thanh Hong Nguyen
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Miss-ReID: Delivering Robust Multi-Modality Object Re-Identification Despite Missing ModalitiesXi ruida
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Missing Data Imputation by Reducing Mutual Information with Rectified FlowsJiahao Yu, Qizhen Ying, Leyang Wang, Ziyue Jiang, Song Liu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mitigating Forgetting in LLM Fine-Tuning via Low-Perplexity Token LearningChao-Chung Wu, Zhi Rui Tam, Chieh-Yen Lin, Yun-Nung (Vivian) Chen, Shao-Hua Sun, Hung-yi Lee
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mitigating Hallucination Through Theory-Consistent Symmetric Multimodal Preference OptimizationWenqi Liu, Xuemeng Song, Jiaxi Li, Yinwei Wei, Na Zheng, Jianhua Yin, Liqiang Nie
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation EngineeringJIANFENG CAI, Jiale Hong, Zongmeng Zhang, Wengang Zhou, zhannianji, Houqiang Li
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mitigating Instability in High Residual Adaptive Sampling for PINNs via Langevin DynamicsMinseok Jeong, Giup Seo, Euiseok Hwang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal ModelsXiwen Wei, Mustafa Munir, Radu Marculescu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mitigating Occlusions in Virtual Try-On via A Simple-Yet-Effective Mask-Free FrameworkChenghu Du, Shengwu Xiong, junyin Wang, Yi Rong, Shili Xiong
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mitigating Overthinking in Large Reasoning Models via Manifold SteeringYao Huang, Huanran Chen, Shouwei Ruan, Yichi Zhang, Xingxing Wei, Yinpeng Dong
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance SamplingNguyen Phuc, Ngoc-Hieu Nguyen, Duy M. H. Nguyen, Anji Liu, An Mai, Thanh Binh Nguyen, Daniel Sonntag, Khoa D Doan
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mitigating Semantic Collapse in Partially Relevant Video RetrievalWonJun Moon, MinSeok Jung, Gilhan Park, Tae-Young Kim, Cheol-Ho Cho, Woojin Jun, Jae-Pil Heo
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mitigating Sexual Content Generation via Embedding Distortion in Text-conditioned Diffusion ModelsJaesin Ahn, Heechul Jung
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mitigating Spurious Features in Contrastive Learning with Spectral RegularizationNaghmeh Ghanooni, Waleed Mustafa, Dennis Wagner, Sophie Fellenz, Anthony Lin, Marius Kloft
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mitigating the Privacy–Utility Trade-off in Decentralized Federated Learning via f-Differential PrivacyXiang Li, Chendi Wang, Buxin Su, Qi Long, Weijie Su
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation ModelsXiyuan Zhang, Danielle Maddix Robinson, Junming Yin, Nick Erickson, Abdul Fatir Ansari, Boran Han, Shuai Zhang, Leman Akoglu, Christos Faloutsos, Michael W. Mahoney, Tony Hu, Huzefa Rangwala, George Karypis, Yuyang (Bernie) Wang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model MergingJinluan Yang, Dingnan Jin, Anke Tang, Li Shen, Didi Zhu, Zhengyu Chen, Ziyu Zhao, Daixin Wang, Qing Cui, Zhiqiang Zhang, Jun Zhou, Fei Wu, Kun Kuang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MixAT: Combining Continuous and Discrete Adversarial Training for LLMsCsaba Dékány, Stefan Balauca, Dimitar I. Dimitrov, Robin Staab, Martin Vechev
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MixPrompt: Efficient Mixed Prompting for Multimodal Semantic SegmentationZhiwei Hao, Zhongyu Xiao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Dan Zeng
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MixSignGraph: A Sign Sequence is Worth Mixed Graphs of NodesShiwei Gan, Yafeng Yin, Zhiwei Jiang, Lei Xie, Sanglu Lu, Hongkai Wen
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer LearningYuyang Deng, Samory Kpotufe
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of GoYichuan Ma, Linyang Li, Yongkang Chen, Peiji Li, Jiasheng Ye, Qipeng Guo, Dahua Lin, Kai Chen
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mixture of Inputs: Text Generation Beyond Discrete Token SamplingYufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mixture of Noise for Pre-Trained Model-Based Class-Incremental LearningKai Jiang, Zhengyan Shi, Dell Zhang, Hongyuan Zhang, Xuelong Li
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow VariantsGangda Deng, Hongkuan Zhou, Rajgopal Kannan, Viktor Prasanna
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mixture-of-Experts Meets In-Context Reinforcement LearningWenhao Wu, Fuhong Liu, Haoru Li, Zican Hu, Daoyi Dong, Chunlin Chen, Zhi Wang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mixture-of-Experts Operator Transformer for Large-Scale PDE Pre-TrainingHong Wang, Haiyang Xin, Jie Wang, Xuanze Yang, Fei Zha, huanshuo dong, Yan Jiang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level ComputationSangmin Bae, Yujin Kim, Reza Bayat, Sungnyun Kim, Jiyoun Ha, Tal Schuster, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Aaron C. Courville, Se-Young Yun
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Mixtures of Subspaces for Bandwidth Efficient Context Parallel TrainingSameera Ramasinghe, Thalaiyasingam Ajanthan, Hadi Mohaghegh Dolatabadi, Gil Avraham, Violetta Shevchenko, Yan Zuo, Chamin P Hewa Koneputugodage, Alexander Long
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MoBA: Mixture of Block Attention for Long-Context LLMsEnzhe Lu, Zhejun Jiang, Jingyuan Liu, Yulun Du, Tao Jiang, Chao Hong, Shaowei Liu, Weiran He, Enming Yuan, Yuzhi Wang, Zhiqi Huang, Huan Yuan, Suting Xu, Xinran Xu, Guokun Lai, Yanru Chen, Huabin Zheng, Junjie Yan, Jianlin Su, Yuxin Wu, Yutao Zhang, Zhilin Yang, Xinyu Zhou, Mingxing Zhang, Jiezhong Qiu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MoCha: Towards Movie-Grade Talking Character GenerationCong Wei, Bo Sun, Haoyu Ma, Ji Hou, Felix Juefei-Xu, Zecheng He, Xiaoliang Dai, Luxin Zhang, Kunpeng Li, Tingbo Hou, Animesh Sinha, Peter Vajda, Wenhu Chen
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MoE-Gyro: Self-Supervised Over-Range Reconstruction and Denoising for MEMS GyroscopesFeiyang Pan, Shenghe Zheng, Chunyan Yin, Guangbin Dou
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational LearningHan Wu, Jie Yin
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoEZongle Huang, Lei Zhu, ZongYuan Zhan, Ting Hu, Weikai Mao, Xianzhi Yu, Yongpan Liu, Tianyu Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern ModelingJiaming Ma, Binwu Wang, Qihe Huang, Guanjun Wang, Pengkun Wang, Zhengyang Zhou, Yang Wang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp DetailsRuicheng Wang, Sicheng Xu, Yue Dong, Yu Deng, Jianfeng Xiang, Zelong Lv, Guangzhong Sun, Xin Tong, Jiaolong Yang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MoME: Mixture of Matryoshka Experts for Audio-Visual Speech RecognitionUmberto Cappellazzo, Minsu Kim, Pingchuan Ma, Honglie Chen, Xubo Liu, Stavros Petridis, Maja Pantic
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task AdaptationShen Yuan, Yin Zheng, Taifeng Wang, binbin liu, Hongteng Xu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity RecognitionHao Helen Zhang, Zhan Zhuang, Xuehao Wang, Xiaodong Yang, Yu Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual DecodingYUXIANG WEI, Yanteng Zhang, Xi Xiao, Tianyang Wang, Xiao Wang, Vince D. Calhoun
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MoRIC: A Modular Region-based Implicit Codec for Image CompressionGen Li, Haotian Wu, Deniz Gunduz
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MobileODE: An Extra Lightweight NetworkLe Yu, Jun Wu, Bo Gou, Xiangde Min, Lei Zhang, Zhang Yi, Tao He
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
MobileUse: A Hierarchical Reflection-Driven GUI Agent for Autonomous Mobile OperationNing Li, Xiangmou Qu, Jiamu Zhou, Muning Wen, Kounianhua Du, Xingyu Lou, Qiuying Peng, Jun Wang, Weinan Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
ModHiFi: Identifying High Fidelity predictive components for Model ModificationDhruva Kashyap, Chaitanya Murti, Pranav K Nayak, Tanay Narshana, Chiranjib Bhattacharyya
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Modality-Aware SAM: Sharpness-Aware-Minimization Driven Gradient Modulation for Harmonized Multimodal LearningHossein Rajoli Nowdeh, Jie Ji, Xiaolong Ma, Fatemeh Afghah
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Model Editing for Vision TransformersXinyi Huang, Kangfei Zhao, Long-Kai Huang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual LearningRuilin Tong, Haodong Lu, Yuhang Liu, Dong Gong
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Model Merging in Pre-training of Large Language ModelsYunshui Li, Yiyuan Ma, Shen Yan, Chaoyi Zhang, Jing Liu, Jianqiao Lu, Ziwen Xu, Mengzhao Chen, Minrui Wang, Shiyi Zhan, Jin Ma, Xunhao Lai, Yao Luo, Xingyan Bin, Hongbin Ren, Mingji Han, Wenhao Hao, Bairen Yi, LingJun Liu, Bole Ma, Xiaoying Jia, zhou Xun, liang xiang, Yonghui Wu
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Model Provenance Testing for Large Language ModelsIvica Nikolic, Teodora Baluta, Prateek Saxena
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Model Reconciliation via Cost-Optimal Explanations in Probabilistic Logic ProgrammingYinxu Tang, Stylianos Loukas Vasileiou, Vincent Derkinderen, William Yeoh
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Model Selection for Off-policy Evaluation: New Algorithms and Experimental ProtocolPai Liu, Lingfeng Zhao, Shivangi Agarwal, Jinghan Liu, Audrey Huang, Philip Amortila, Nan Jiang
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Model-Based Policy Adaptation for Closed-Loop End-to-end Autonomous DrivingHaohong Lin, Yunzhi Zhang, Wenhao Ding, Jiajun Wu, DING ZHAO
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Model-Guided Dual-Role Alignment for High-Fidelity Open-Domain Video-to-Audio GenerationKang Zhang, Trung X. Pham, Suyeon Lee, Axi Niu, Arda Senocak, Joon Son Chung
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Model-Informed Flows for Bayesian InferenceJoohwan Ko, Justin Domke
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Modeling Cell Dynamics and Interactions with Unbalanced Mean Field Schrödinger BridgeZhenyi Zhang, Zihan Wang, Yuhao Sun, Tiejun Li, Peijie Zhou
Machine Learning
日本大学: 関与なし(対象大学)