Conferences · eligible papers

NeurIPS

2021–2025 確定版

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Machine Learning

2025 · 5,286 papers

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。

  1. 2025 · NeurIPS

    Memory-Augmented Potential Field Theory: A Framework for Adaptive Control in Non-Convex Domains

    Dongzhe Zheng, Wenjie Mei

    Machine Learning

    日本大学: 関与なし(対象大学)

  2. 2025 · NeurIPS

    Memory-Efficient Training with In-Place FFT Implementation

    XINYU DING, Bangtian Liu, Siyu Liao, Zhongfeng Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  3. 2025 · NeurIPS

    Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression

    Kunjun Li, Zigeng Chen, Cheng-Yen Yang, Jenq-Neng Hwang

    Machine Learning

    日本大学: 関与なし(対象大学)

  4. 2025 · NeurIPS

    Memory-Enhanced Neural Solvers for Routing Problems

    Felix 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)

  5. 2025 · NeurIPS

    Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks

    Susmit 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)

  6. 2025 · NeurIPS

    Merging on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging

    Anke 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)

  7. 2025 · NeurIPS

    MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial Reasoning

    Jinkun 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)

  8. 2025 · NeurIPS

    Mesh Interpolation Graph Network for Dynamic and Spatially Irregular Global Weather Forecasting

    Zinan Zheng, Yang Liu, Jia Li

    Machine Learning

    日本大学: 関与なし(対象大学)

  9. 2025 · NeurIPS

    Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning

    Jian 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)

  10. 2025 · NeurIPS

    MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds

    Bingquan 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)

  11. 2025 · NeurIPS

    Meta CLIP 2: A Worldwide Scaling Recipe

    Yung-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)

  12. 2025 · NeurIPS

    Meta Guidance: Incorporating Inductive Biases into Deep Time Series Imputers

    Jiacheng You, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie

    Machine Learning

    日本大学: 関与なし(対象大学)

  13. 2025 · NeurIPS

    Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data

    Tian 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)

  14. 2025 · NeurIPS

    Meta-Learning Objectives for Preference Optimization

    Carlo Alfano, Silvia Sapora, Jakob Foerster, Patrick Rebeschini, Yee Whye Teh

    Machine Learning

    日本大学: 関与なし(対象大学)

  15. 2025 · NeurIPS

    Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex

    Muquan 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)

  16. 2025 · NeurIPS

    Meta-learning how to Share Credit among Macro-Actions

    Ionel-Alexandru Hosu, Traian Rebedea, Razvan Pascanu

    Machine Learning

    日本大学: 関与なし(対象大学)

  17. 2025 · NeurIPS

    MetaDefense: Defending Fine-tuning based Jailbreak Attack Before and During Generation

    Weisen Jiang, Sinno Jialin Pan

    Machine Learning

    日本大学: 関与なし(対象大学)

  18. 2025 · NeurIPS

    MetaFind: Scene-Aware 3D Asset Retrieval for Coherent Metaverse Scene Generation

    Zhenyu Pan, Yucheng Lu, Han Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  19. 2025 · NeurIPS

    MetaGS: A Meta-Learned Gaussian-Phong Model for Out-of-Distribution 3D Scene Relighting

    Yumeng He, Yunbo Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  20. 2025 · NeurIPS

    MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts

    Mahmoud Selim, Sriharsha Bhat, Karl H. Johansson

    Machine Learning

    日本大学: 関与なし(対象大学)

  21. 2025 · NeurIPS

    MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems

    Xuanming Zhang, Yuxuan Chen, Samuel (Min-Hsuan) Yeh, Sharon Li

    Machine Learning

    日本大学: 関与なし(対象大学)

  22. 2025 · NeurIPS

    MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning

    Hongjia Liu, Rongzhen Zhao, Haohan Chen, Joni K. Pajarinen

    Machine Learning

    日本大学: 関与なし(対象大学)

  23. 2025 · NeurIPS

    Metis: A Foundation Speech Generation Model with Masked Generative Pre-training

    Yuancheng 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)

  24. 2025 · NeurIPS

    Metric Automata Theory: A Unifying Theory of RNNs

    Adam Dankowiakowski, Alessandro Ronca

    Machine Learning

    日本大学: 関与なし(対象大学)

  25. 2025 · NeurIPS

    Metritocracy: Representative Metrics for Lite Benchmarks

    Ariel D Procaccia, Ben Schiffer, Serena Wang, Shirley Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  26. 2025 · NeurIPS

    Metropolis Adjusted Microcanonical Hamiltonian Monte Carlo

    Jakob Robnik, Reuben Cohn-Gordon, Uros Seljak

    Machine Learning

    日本大学: 関与なし(対象大学)

  27. 2025 · NeurIPS

    Metropolis-Hastings Sampling for 3D Gaussian Reconstruction

    Hyunjin Kim, Haebeom Jung, Jaesik Park

    Machine Learning

    日本大学: 関与なし(対象大学)

  28. 2025 · NeurIPS

    MiCADangelo: Fine-Grained Reconstruction of Constrained CAD Models from 3D Scans

    Ahmet 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)

  29. 2025 · NeurIPS

    MiCo: Multi-image Contrast for Reinforcement Visual Reasoning

    Xi 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)

  30. 2025 · NeurIPS

    MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions

    Pucheng 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)

  31. 2025 · NeurIPS

    Mind the GAP! The Challenges of Scale in Pixel-based Deep Reinforcement Learning

    Ghada Sokar, Pablo Samuel Castro

    Machine Learning

    日本大学: 関与なし(対象大学)

  32. 2025 · NeurIPS

    Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning

    Haolei 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)

  33. 2025 · NeurIPS

    Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks

    Shakir Yousefi, Andreas Plesner, Till Aczel, Roger Wattenhofer

    Machine Learning

    日本大学: 関与なし(対象大学)

  34. 2025 · NeurIPS

    Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules

    Yueqi 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)

  35. 2025 · NeurIPS

    Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation

    Abdelrahman Eldesokey, Aleksandar Cvejić, Bernard Ghanem, Peter Wonka

    Machine Learning

    日本大学: 関与なし(対象大学)

  36. 2025 · NeurIPS

    MindForge: Empowering Embodied Agents with Theory of Mind for Lifelong Cultural Learning

    Mircea Lică, Ojas Shirekar, Baptiste Colle, Chirag Raman

    Machine Learning

    日本大学: 関与なし(対象大学)

  37. 2025 · NeurIPS

    MindJourney: Test-Time Scaling with World Models for Spatial Reasoning

    Yuncong 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)

  38. 2025 · NeurIPS

    MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO

    Yicheng 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)

  39. 2025 · NeurIPS

    MiniMax-Remover: Taming Bad Noise Helps Video Object Removal

    Bojia 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)

  40. 2025 · NeurIPS

    Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization

    Tan 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)

  41. 2025 · NeurIPS

    Minimax Adaptive Online Nonparametric Regression over Besov spaces

    Paul Liautaud, Pierre Gaillard, Olivier Wintenberger

    Machine Learning

    日本大学: 関与なし(対象大学)

  42. 2025 · NeurIPS

    Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap

    Shixiang Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  43. 2025 · NeurIPS

    Minimizing False-Positive Attributions in Explanations of Non-Linear Models

    Anders Gjølbye, Stefan Haufe, Lars Kai Hansen

    Machine Learning

    日本大学: 関与なし(対象大学)

  44. 2025 · NeurIPS

    Minimum Width for Deep, Narrow MLP: A Diffeomorphism Approach

    Geonho Hwang

    Machine Learning

    日本大学: 関与なし(対象大学)

  45. 2025 · NeurIPS

    Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common Corruptions

    Wenxuan Bao, Ruxi Deng, Jingrui He

    Machine Learning

    日本大学: 関与なし(対象大学)

  46. 2025 · NeurIPS

    MisoDICE: Multi-Agent Imitation from Mixed-Quality Demonstrations

    The Viet Bui, Tien Mai, Thanh Hong Nguyen

    Machine Learning

    日本大学: 関与なし(対象大学)

  47. 2025 · NeurIPS

    Miss-ReID: Delivering Robust Multi-Modality Object Re-Identification Despite Missing Modalities

    Xi ruida

    Machine Learning

    日本大学: 関与なし(対象大学)

  48. 2025 · NeurIPS

    Missing Data Imputation by Reducing Mutual Information with Rectified Flows

    Jiahao Yu, Qizhen Ying, Leyang Wang, Ziyue Jiang, Song Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  49. 2025 · NeurIPS

    Mitigating Forgetting in LLM Fine-Tuning via Low-Perplexity Token Learning

    Chao-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)

  50. 2025 · NeurIPS

    Mitigating Hallucination Through Theory-Consistent Symmetric Multimodal Preference Optimization

    Wenqi 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)

  51. 2025 · NeurIPS

    Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation Engineering

    JIANFENG CAI, Jiale Hong, Zongmeng Zhang, Wengang Zhou, zhannianji, Houqiang Li

    Machine Learning

    日本大学: 関与なし(対象大学)

  52. 2025 · NeurIPS

    Mitigating Instability in High Residual Adaptive Sampling for PINNs via Langevin Dynamics

    Minseok Jeong, Giup Seo, Euiseok Hwang

    Machine Learning

    日本大学: 関与なし(対象大学)

  53. 2025 · NeurIPS

    Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models

    Xiwen Wei, Mustafa Munir, Radu Marculescu

    Machine Learning

    日本大学: 関与なし(対象大学)

  54. 2025 · NeurIPS

    Mitigating Occlusions in Virtual Try-On via A Simple-Yet-Effective Mask-Free Framework

    Chenghu Du, Shengwu Xiong, junyin Wang, Yi Rong, Shili Xiong

    Machine Learning

    日本大学: 関与なし(対象大学)

  55. 2025 · NeurIPS

    Mitigating Overthinking in Large Reasoning Models via Manifold Steering

    Yao 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)

  56. 2025 · NeurIPS

    Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling

    Nguyen 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)

  57. 2025 · NeurIPS

    Mitigating Semantic Collapse in Partially Relevant Video Retrieval

    WonJun 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)

  58. 2025 · NeurIPS

    Mitigating Sexual Content Generation via Embedding Distortion in Text-conditioned Diffusion Models

    Jaesin Ahn, Heechul Jung

    Machine Learning

    日本大学: 関与なし(対象大学)

  59. 2025 · NeurIPS

    Mitigating Spurious Features in Contrastive Learning with Spectral Regularization

    Naghmeh 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)

  60. 2025 · NeurIPS

    Mitigating the Privacy–Utility Trade-off in Decentralized Federated Learning via f-Differential Privacy

    Xiang Li, Chendi Wang, Buxin Su, Qi Long, Weijie Su

    Machine Learning

    日本大学: 関与なし(対象大学)

  61. 2025 · NeurIPS

    Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models

    Xiyuan 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)

  62. 2025 · NeurIPS

    Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging

    Jinluan 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)

  63. 2025 · NeurIPS

    MixAT: Combining Continuous and Discrete Adversarial Training for LLMs

    Csaba Dékány, Stefan Balauca, Dimitar I. Dimitrov, Robin Staab, Martin Vechev

    Machine Learning

    日本大学: 関与なし(対象大学)

  64. 2025 · NeurIPS

    MixPrompt: Efficient Mixed Prompting for Multimodal Semantic Segmentation

    Zhiwei 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)

  65. 2025 · NeurIPS

    MixSignGraph: A Sign Sequence is Worth Mixed Graphs of Nodes

    Shiwei 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)

  66. 2025 · NeurIPS

    Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning

    Yuyang Deng, Samory Kpotufe

    Machine Learning

    日本大学: 関与なし(対象大学)

  67. 2025 · NeurIPS

    Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go

    Yichuan 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)

  68. 2025 · NeurIPS

    Mixture of Inputs: Text Generation Beyond Discrete Token Sampling

    Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao

    Machine Learning

    日本大学: 関与なし(対象大学)

  69. 2025 · NeurIPS

    Mixture of Noise for Pre-Trained Model-Based Class-Incremental Learning

    Kai Jiang, Zhengyan Shi, Dell Zhang, Hongyuan Zhang, Xuelong Li

    Machine Learning

    日本大学: 関与なし(対象大学)

  70. 2025 · NeurIPS

    Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants

    Gangda Deng, Hongkuan Zhou, Rajgopal Kannan, Viktor Prasanna

    Machine Learning

    日本大学: 関与なし(対象大学)

  71. 2025 · NeurIPS

    Mixture-of-Experts Meets In-Context Reinforcement Learning

    Wenhao 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)

  72. 2025 · NeurIPS

    Mixture-of-Experts Operator Transformer for Large-Scale PDE Pre-Training

    Hong 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)

  73. 2025 · NeurIPS

    Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation

    Sangmin 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)

  74. 2025 · NeurIPS

    Mixtures of Subspaces for Bandwidth Efficient Context Parallel Training

    Sameera 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)

  75. 2025 · NeurIPS

    MoBA: Mixture of Block Attention for Long-Context LLMs

    Enzhe 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)

  76. 2025 · NeurIPS

    MoCha: Towards Movie-Grade Talking Character Generation

    Cong 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)

  77. 2025 · NeurIPS

    MoE-Gyro: Self-Supervised Over-Range Reconstruction and Denoising for MEMS Gyroscopes

    Feiyang Pan, Shenghe Zheng, Chunyan Yin, Guangbin Dou

    Machine Learning

    日本大学: 関与なし(対象大学)

  78. 2025 · NeurIPS

    MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning

    Han Wu, Jie Yin

    Machine Learning

    日本大学: 関与なし(対象大学)

  79. 2025 · NeurIPS

    MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE

    Zongle 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)

  80. 2025 · NeurIPS

    MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling

    Jiaming 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)

  81. 2025 · NeurIPS

    MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details

    Ruicheng 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)

  82. 2025 · NeurIPS

    MoME: Mixture of Matryoshka Experts for Audio-Visual Speech Recognition

    Umberto 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)

  83. 2025 · NeurIPS

    MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation

    Shen Yuan, Yin Zheng, Taifeng Wang, binbin liu, Hongteng Xu

    Machine Learning

    日本大学: 関与なし(対象大学)

  84. 2025 · NeurIPS

    MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition

    Hao Helen Zhang, Zhan Zhuang, Xuehao Wang, Xiaodong Yang, Yu Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  85. 2025 · NeurIPS

    MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding

    YUXIANG 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)

  86. 2025 · NeurIPS

    MoRIC: A Modular Region-based Implicit Codec for Image Compression

    Gen Li, Haotian Wu, Deniz Gunduz

    Machine Learning

    日本大学: 関与なし(対象大学)

  87. 2025 · NeurIPS

    MobileODE: An Extra Lightweight Network

    Le 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)

  88. 2025 · NeurIPS

    MobileUse: A Hierarchical Reflection-Driven GUI Agent for Autonomous Mobile Operation

    Ning 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)

  89. 2025 · NeurIPS

    ModHiFi: Identifying High Fidelity predictive components for Model Modification

    Dhruva Kashyap, Chaitanya Murti, Pranav K Nayak, Tanay Narshana, Chiranjib Bhattacharyya

    Machine Learning

    日本大学: 関与なし(対象大学)

  90. 2025 · NeurIPS

    Modality-Aware SAM: Sharpness-Aware-Minimization Driven Gradient Modulation for Harmonized Multimodal Learning

    Hossein Rajoli Nowdeh, Jie Ji, Xiaolong Ma, Fatemeh Afghah

    Machine Learning

    日本大学: 関与なし(対象大学)

  91. 2025 · NeurIPS

    Model Editing for Vision Transformers

    Xinyi Huang, Kangfei Zhao, Long-Kai Huang

    Machine Learning

    日本大学: 関与なし(対象大学)

  92. 2025 · NeurIPS

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