NeurIPS

2022–2026 LIVE

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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。

2025 · NeurIPS
Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting
Jiaming Ma, Binwu Wang, Guanjun Wang, Kuo Yang, Zhengyang Zhou, Pengkun Wang, Xu Wang, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Less is More: Improving LLM Alignment via Preference Data Selection
Xun Deng, Han Zhong, Rui Ai, Fuli Feng, Zheng Wang, Xiangnan He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Less is More: Local Intrinsic Dimensions of Contextual Language Models
Benjamin Matthias Ruppik, Julius von Rohrscheidt, Carel van Niekerk, Michael Heck, Renato Vukovic, Shutong Feng, Hsien-chin Lin, Nurul Lubis, Bastian Rieck, Marcus Zibrowius, Milica Gasic
Machine Learning
日本大学: 奈良先端科学技術大学院大学
2025 · NeurIPS
Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning
Lifan Zhao, Yanyan Shen, Zhaoyang Liu, xue wang, Jiaji Deng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Less is More: an Attention-free Sequence Prediction Modeling for Offline Embodied Learning
Wei Huang, Jianshu Zhang, Leiyu Wang, Heyue Li, Luoyi Fan, Yichen Zhu, Nanyang Ye, Qinying Gu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve
Yuanzhe Liu, Ryan Deng, Tim Kaler, Xuhao Chen, Charles Leiserson, Yao Ma, Jie Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Let Brain Rhythm Shape Machine Intelligence for Connecting Dots on Graphs
Jiaqi Ding, Tingting Dan, Zhixuan Zhou, Guorong Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Let LRMs Break Free from Overthinking via Self-Braking Tuning
Haoran Zhao, Yuchen Yan, Yongliang Shen, Haolei Xu, Wenqi Zhang, Kaitao Song, Jian Shao, Weiming Lu, Jun Xiao, Yueting Zhuang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Let Me Think! A Long Chain of Thought Can Be Worth Exponentially Many Short Ones
Parsa Mirtaheri, Ezra Edelman, Samy Jelassi, Eran Malach, Enric Boix-Adserà
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation
Zhe Kong, Feng Gao, Yong Zhang, Zhuoliang Kang, Xiaoming Wei, Xunliang Cai, Guanying Chen, Wenhan Luo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Let a Neural Network be Your Invariant
Mirco Giacobbe, Daniel Kroening, Abhinandan Pal, Michael Tautschnig
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Let the LLM Stick to Its Strengths: Learning to Route Economical LLM
Yi-Kai Zhang, Shiyin Lu, Qingguo Chen, Weihua Luo, De-Chuan Zhan, Han-Jia Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs
Zhiyi Lyu, Jianguo Huang, Yanchen Deng, Steven C. Hoi, Bo An
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Leveraging Conditional Dependence for Efficient World Model Denoising
Shaowei Zhang, Jiahan Cao, Dian Cheng, Xunlan Zhou, Shenghua Wan, Le Gan, De-Chuan Zhan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic Segmentation
Siyu Chen, Ting Han, Chengzheng Fu, Changshe Zhang, Chaolei Wang, Jinhe Su, Guorong Cai, Meiliu Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models
Yi Liu, Dianqing Liu, Mingye Zhu, Junbo Guo, Yongdong Zhang, Zhendong Mao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Leveraging robust optimization for llm alignment under distribution shifts
Mingye Zhu, Yi Liu, Zheren Fu, Yongdong Zhang, Zhendong Mao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Leveraging semantic similarity for experimentation with AI-generated treatments
Lei Shi, David Arbour, Raghavendra Addanki, Ritwik Sinha, Avi Feller
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Lie Detector: Unified Backdoor Detection via Cross-Examination Framework
Xuan Wang, Siyuan Liang, Dongping Liao, Han Fang, Aishan Liu, Xiaochun Cao, Yu-liang Lu, Ee-Chien Chang, Xitong Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Lifelong Safety Alignment for Language Models
Haoyu Wang, Yifei Zhao, Zeyu Qin, Chao Du, Min Lin, Xueqian Wang, Tianyu Pang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Lifelong Test-Time Adaptation via Online Learning in Tracked Low-Dimensional Subspace
Dexin Duan, Rui Xu, Peilin Liu, Fei Wen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators
Albert Matveev, Sanmitra Ghosh, Aamal Hussain, James-Michael Leahy, Michalis Michaelides
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders
Boyu Han, Qianqian Xu, Shilong Bao, Zhiyong Yang, Kangli Zi, Qingming Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Limitations of Normalization in Attention
Timur Mudarisov, Mikhail Burtsev, Tatiana Petrova, Radu State
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Limited Preference Data? Learning Better Reward Model with Latent Space Synthesis
Leitian Tao, Xuefeng Du, Sharon Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
Pau Rodriguez, Michal Klein, Eleonora Gualdoni, Valentino Maiorca, Arno Blaas, Luca Zappella, Marco Cuturi, Xavier Suau
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LinPrim: Linear Primitives for Differentiable Volumetric Rendering
Nicolas von Lützow, Matthias Niessner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Linear Attention for Efficient Bidirectional Sequence Modeling
Arshia Afzal, Elias Abad Rocamora, Leyla Candogan, Pol Puigdemont, Francesco Tonin, Yongtao Wu, Mahsa Shoaran, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials
Yifan Pu, Jixuan Ying, Qixiu Li, Tianzhu Ye, Dongchen Han, Xiaochen Wang, Ziyi Wang, shao xinyu, Gao Huang, Xiu Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Linear Mixture Distributionally Robust Markov Decision Processes
Zhishuai Liu, Pan Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Linear Transformers Implicitly Discover Unified Numerical Algorithms
Patrick Lutz, Aditya Gangrade, Hadi Daneshmand, Venkatesh Saligrama
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Linearization Explains Fine-Tuning in Large Language Models
Zahra Rahimi Afzal, Tara Esmaeilbeig, Mojtaba Soltanalian, Mesrob I Ohannessian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Linearly Constrained Diffusion Implicit Models
Vivek Jayaram, Ira Kemelmacher-Shlizerman, Steve Seitz, John Thickstun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
List-Level Distribution Coupling with Applications to Speculative Decoding and Lossy Compression
Joseph Rowan, Truong Buu Phan, Ashish Khisti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction
Hongtao Huang, Chengkai Huang, Junda Wu, Tong Yu, Julian McAuley, Lina Yao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LiteReality: Graphics-Ready 3D Scene Reconstruction from RGB-D Scans
Zhening Huang, Xiaoyang Wu, Fangcheng Zhong, Hengshuang Zhao, Matthias Niessner, Joan Lasenby
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LittleBit: Ultra Low-Bit Quantization via Latent Factorization
Banseok Lee, Dongkyu Kim, Youngcheon You, Youngmin Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LiveStar: Live Streaming Assistant for Real-World Online Video Understanding
Zhenyu Yang, Kairui Zhang, Yuhang Hu, Bing Wang, Shengsheng Qian, Bin Wen, Fan Yang, Tingting Gao, Weiming Dong, Changsheng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LoMix: Learnable Weighted Multi-Scale Logits Mixing for Medical Image Segmentation
Md Mostafijur Rahman, Radu Marculescu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LoRA vs Full Fine-tuning: An Illusion of Equivalence
Reece Shuttleworth, Jacob Andreas, Antonio Torralba, Pratyusha Sharma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting
Yi Xiao, Hang Fan, Kun Chen, Ye Cao, Ben Fei, Wei Xue, LEI BAI
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers
Yusuf Dalva, Hidir Yesiltepe, Pinar Yanardag
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades
Yanan Li, Fanxu Meng, Muhan Zhang, Shiai Zhu, Shangguang Wang, Mengwei Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LoRATv2: Enabling Low-Cost Temporal Modeling in One-Stream Trackers
Liting Lin, Heng Fan, Zhipeng Zhang, Yuqing Huang, Yaowei Wang, Yong Xu, Haibin Ling
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LoRO: Real-Time on-Device Secure Inference for LLMs via TEE-Based Low Rank Obfuscation
Gaojian Xiong, Yu Sun, Jianhua Liu, Jian Cui, Jianwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks
Di Jin, Yuxiang Zhang, Bingdao Feng, Xiaobao Wang, Dongxiao He, Zhen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning
Junyu Chen, Junzhuo Li, Zhen Peng, Wenjie Wang, Yuxiang Ren, Long Shi, Xuming Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LocDiff: Identifying Locations on Earth by Diffusing in the Hilbert Space
Zhangyu Wang, Zeping Liu, Jielu Zhang, Zhongliang Zhou, Qian Cao, Nemin Wu, Lan Mu, Yang Song, Yiqun Xie, Ni Lao, Gengchen Mai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent
Peter Richtarik, Simone Maria Giancola, Dymitr Lubczyk, Robin Yadav
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables
Zheng Li, Xichen Guo, Feng Xie, Yan Zeng, Hao Helen Zhang, Zhi Geng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Local-Global Associative Frames for Symmetry-Preserving Crystal Structure Modeling
haowei hua, Wanyu Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Local-Global Coupling Spiking Graph Transformer for Brain Disorders Diagnosis from Two Perspectives
Geng Zhang, Jiangrong Shen, Kaizhong Zheng, Liangjun Chen, Badong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Localist Topographic Expert Routing: A Barrel Cortex-Inspired Modular Network for Sensorimotor Processing
Tianfang Zhu, Dongli Hu, Jiandong Zhou, Kai Du, Anan LI
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Locality in Image Diffusion Models Emerges from Data Statistics
Artem Lukoianov, Chenyang Yuan, Justin M Solomon, Vincent Sitzmann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Localized Data Shapley: Accelerating Valuation for Nearest Neighbor Algorithms
Guangyi Zhang, Yanhao Wang, Chengliang Chai, Qiyu Liu, Wei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Localizing Knowledge in Diffusion Transformers
Arman Zarei, Samyadeep Basu, Keivan Rezaei, Zihao Lin, Sayan Nag, Soheil Feizi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Locally Optimal Private Sampling: Beyond the Global Minimax
Hrad Ghoukasian, Bonwoo Lee, Shahab Asoodeh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding
Weiyu Guo, Ziyang Chen, Shaoguang WANG, Jianxiang He, Yijie Xu, Jinhui Ye, Ying Sun, Hui Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Logic.py: Bridging the Gap between LLMs and Constraint Solvers
Pascal Kesseli, Peter O'Hearn, Ricardo S. Cabral
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data
Zehao Wang, Lin F. Yang, Jie Wang, Kehan Wang, Hanzhu Chen, Bin Wang, Jianye Hao, Defu Lian, Bin Li, Enhong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Logical Expressiveness of Graph Neural Networks with Hierarchical Node Individualization
Arie Soeteman, Balder ten Cate
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Long-Tailed Recognition via Information-Preservable Two-Stage Learning
Fudong Lin, Xu Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Long-tailed Recognition with Model Rebalancing
JIAAN LUO, Feng Hong, Qiang Hu, Xiaofeng Cao, Feng Liu, Jiangchao Yao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions
Chaochen Gao, Xing W, Zijia Lin, Debing Zhang, Songlin Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LongVPO: From Anchored Cues to Self-Reasoning for Long-Form Video Preference Optimization
Zhenpeng Huang, Jiaqi Li, zihan jia, Xinhao Li, Desen Meng, Lingxue Song, Xi Chen, Liang Li, Limin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning
Wang Yang, Zirui Liu, Hongye Jin, Qingyu Yin, Vipin Chaudhary, Xiaotian Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Look Before You Leap: A GUI-Critic-R1 Model for Pre-Operative Error Diagnosis in GUI Automation
Yuyang Wanyan, Xi Zhang, Haiyang Xu, Haowei Liu, Junyang Wang, Jiabo Ye, Yutong Kou, Ming Yan, Fei Huang, Xiaoshan Yang, Weiming Dong, Changsheng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Look-Ahead Reasoning on Learning Platforms
Haiqing Zhu, Tijana Zrnic, Celestine Mendler-Dünner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision
Anthony Fuller, Yousef Yassin, Junfeng Wen, Tarek Ibrahim, Daniel G. Kyrollos, James Green, Evan Shelhamer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Lookahead Routing for Large Language Models
Canbin Huang, Tianyuan Shi, Yuhua Zhu, Ruijun Chen, Xiaojun Quan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection
Anay Majee, Amitesh Gangrade, Rishabh Iyer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Looking Into the Water by Unsupervised Learning of the Surface Shape
Ori Lifschitz, Tali Treibitz, Dan Rosenbaum
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving
Yuchen Zhang, Hanyue Du, Chun Cao, Jingwei Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Lorentz Local Canonicalization: How to make any Network Lorentz-Equivariant
Jonas Spinner, Luigi Favaro, Peter Lippmann, Sebastian Pitz, Gerrit Gerhartz, Tilman Plehn, Fred A. Hamprecht
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation
François Rozet, Ruben Ohana, Michael McCabe, Gilles Louppe, Francois Lanusse, Shirley Ho
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Lost in Transmission: When and Why LLMs Fail to Reason Globally
Tobias Schnabel, Kiran Tomlinson, Adith Swaminathan, Jennifer Neville
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Low Precision Streaming PCA
Sanjoy Dasgupta, Syamantak Kumar, Shourya Pandey, Purnamrita Sarkar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Low Rank Gradients and Where to Find Them
Rishi Sonthalia, Michael Murray, Guido F. Montufar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Low-Rank Graphon Learning for Networks
Xinyuan Fan, Feiyan Ma, Chenlei Leng, Weichi Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Low-Rank Head Avatar Personalization with Registers
Sai Tanmay Reddy Chakkera, Aggelina Chatziagapi, Md Moniruzzaman, Chen-Ping Yu, Yi-Hsuan Tsai, Dimitris Samaras
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Low-degree evidence for computational transition of recovery rate in stochastic block model
Jingqiu Ding, Yiding Hua, Lucas Slot, David Steurer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Lua-LLM: Learning Unstructured-Sparsity Allocation for Large Language Models
Mingge Lu, Jingwei Sun, Junqing Lin, Zechun Zhou, Guangzhong Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement
Derong Kong, Zhixiong Yang, Shengxi Li, Shuaifeng Zhi, Li Liu, Zhen Liu, Jingyuan Xia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LuxDiT: Lighting Estimation with Video Diffusion Transformer
Ruofan Liang, Kai He, Zan Gojcic, Igor Gilitschenski, Sanja Fidler, Nandita Vijaykumar, Zian Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Lyapunov-Stable Adaptive Control for Multimodal Concept Drift
Tianyu Pan, Mengdi Zhu, Alexa Cole, Ronald Wilson, Damon Woodard
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures
Elena Zamaraeva, Christopher Collins, George Darling, Matthew S Dyer, Bei Peng, Rahul Savani, Dmytro Antypov, Vladimir Gusev, Judith Clymo, Paul Spirakis, Matthew Rosseinsky
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series
Payal Mohapatra, Yueyuan Sui, Akash Pandey, Stephen Xia, Qi Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks
Sanjoy Chowdhury, Mohamed Elmoghany, Yohan Abeysinghe, Junjie Fei, Sayan Nag, Salman H Khan, Mohamed Elhoseiny, Dinesh Manocha
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
MALinZero: Efficient Low-Dimensional Search for Mastering Complex Multi-Agent Planning
Sizhe Tang, Jiayu Chen, Tian Lan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning
Thanh-Dat Truong, Christophe Bobda, Nitin Agarwal, Khoa Luu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
MAP Estimation with Denoisers: Convergence Rates and Guarantees
Scott Pesme, Giacomo Meanti, Michael Arbel, Julien Mairal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification
Junjie Zhou, WEI SHAO, Yagao Yue, Wei Mu, Peng Wan, Qi Zhu, Daoqiang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
MARS: A Malignity-Aware Backdoor Defense in Federated Learning
Wei Wan, Ning Yuxuan, Zhicong Huang, Cheng Hong, Shengshan Hu, Ziqi Zhou, Yechao Zhang, Tianqing Zhu, Wanlei Zhou, Leo Yu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching
Liang Yue, Yihong Tang, Kehai Chen, Jie Liu, Min zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
MAT-Agent: Adaptive Multi-Agent Training Optimization
jusheng zhang, Kaitong Cai, Yijia Fan, Ningyuan Liu, Keze Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation
Meilong Xu, Xiaoling Hu, Shahira Abousamra, Chen Li, Chao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control
Yuchen Zhu, Wei Guo, Jaemoo Choi, Guan-Horng Liu, Yongxin Chen, Molei Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification
Yingying Feng, Jie Li, Jie Hu, Yukang Zhang, Lei Tan, Jiayi Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
MEGADance: Mixture-of-Experts Architecture for Genre-Aware 3D Dance Generation
kaixing yang, Xulong Tang, Ziqiao Peng, Yuxuan Hu, Jun He, Hongyan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
MEIcoder: Decoding Visual Stimuli from Neural Activity by Leveraging Most Exciting Inputs
Jan Sobotka, Luca Baroni, Ján Antolík
Machine Learning
日本大学: 関与なし（対象大学）