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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
Kuramoto Orientation Diffusion Models
Yue Song, Andy Keller, Sevan Brodjian, Takeru Miyato, Yisong Yue, Pietro Perona, Max Welling
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling
Zhuo Chen, Oriol Comas, Zhuotao Jin, Di Luo, Marin Soljacic
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models
Xiaohao Liu, Xiaobo Xia, Weixiang Zhao, Manyi Zhang, Xianzhi Yu, Xiu Su, Shuo Yang, See-Kiong Ng, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
L2DGCN: Learnable Enhancement and Label Selection Dynamic Graph Convolutional Networks for Mitigating Degree Bias
jingxiao zhang, Shifei Ding, Jian Jun Zhang, Lili Guo, Xuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
L2RSI: Cross-view LiDAR-based Place Recognition for Large-scale Urban Scenes via Remote Sensing Imagery
Ziwei Shi, Xiaoran Zhang, Wenjing Xu, Yan Xia, Yu Zang, Siqi Shen, Cheng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LABridge: Text–Image Latent Alignment Framework via Mean-Conditioned OU Process
Huiyang Shao, Xin Xia, Yuxi Ren, XING WANG, Xuefeng Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LARGO: Latent Adversarial Reflection through Gradient Optimization for Jailbreaking LLMs
Ran Li, Hao Wang, Chengzhi Mao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits
Duy M. H. Nguyen, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion
Yuan Guo, Qian Ma, Hui Li, Qiao Ning, Furui Zhan, Yu Gu, Ge Yu, Shikai Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LD-RoViS: Training-free Robust Video Steganography for Deterministic Latent Diffusion Model
Xiangkun Wang, Kejiang Chen, Lincong Li, Weiming Zhang, Nenghai Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LEDiT: Your Length-Extrapolatable Diffusion Transformer without Positional Encoding
Shen Zhang, Siyuan Liang, Yaning Tan, Zhaowei Chen, Linze Li, Ge Wu, Yuhao Chen, Shuheng Li, Zhenyu Zhao, Caihua Chen, Jiajun Liang, Yao Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LILO: Learning to Reason at the Frontier of Learnability
Thomas Foster, Anya Sims, Johannes Forkel, Jakob Foerster
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling
Yang Xiao, Jiashuo WANG, Ruifeng Yuan, Chunpu Xu, Kaishuai Xu, Wenjie Li, Pengfei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LLM Interpretability with Identifiable Temporal-Instantaneous Representation
Xiangchen Song, Jiaqi Sun, Zijian Li, Yujia Zheng, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LLM Layers Immediately Correct Each Other
Arjun Patrawala, Jiahai Feng, Erik Jones, Jacob Steinhardt
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LLM Meeting Decision Trees on Tabular Data
Hangting Ye, Jinmeng Li, He Zhao, Dandan Guo, Yi Chang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation
Subhojyoti Khastagir, KISHALAY DAS, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, niloy ganguly
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LLM Query Scheduling with Prefix Reuse and Latency Constraints
Gregory Dexter, Shao Tang, Ata Fatahi, Qingquan Song, Tejas Dharamsi, Aman Gupta
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LLM Safety Alignment is Divergence Estimation in Disguise
Rajdeep Haldar, Ziyi Wang, Guang Lin, Yue XING, Qifan Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LLM Strategic Reasoning: Agentic Study through Behavioral Game Theory
Jingru Jia, Zehua Yuan, Junhao Pan, Paul E. McNamara, Deming Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LLM Unlearning via Neural Activation Redirection
William Shen, Xinchi Qiu, Meghdad Kurmanji, Alexandru-Andrei Iacob, Lorenzo Sani, Yihong Chen, Nicola Cancedda, Nicholas D. Lane
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LLM at Network Edge: A Layer-wise Efficient Federated Fine-tuning Approach
Jinglong Shen, Nan Cheng, Wenchao Xu, Haozhao Wang, Yifan guo, Jiajie Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LLM-DAMVC: A Large Language Model Assisted Dynamic Agent for Multi-View Clustering
Qianqian Wang, Qianqian Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding
Yuchen Ma, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models
Qianyue Hao, Yiwen Song, Qingmin Liao, Jian Yuan, Yong Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LLM-PySC2: Starcraft II learning environment for Large Language Models
Zongyuan Li, Yanan Ni, Runnan Qi, Chang Lu, Lumin Jiang, Xu Xiaojie, Xiangbei Liu, Pengfei Li, Yunzheng Guo, Zhe Ma, Huanyu Li, wu hui, Xian Guo, Kuihua Huang, Xuebo Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LLMs Encode Harmfulness and Refusal Separately
Jiachen Zhao, Jing Huang, Zhengxuan Wu, David Bau, Weiyan Shi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LMFusion: Adapting Pretrained Language Models for Multimodal Generation
Weijia Shi, Xiaochuang Han, Chunting Zhou, Weixin Liang, Xi Lin, Luke Zettlemoyer, LILI YU
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering
Jonas Kulhanek, Marie-Julie Rakotosaona, Fabian Manhardt, Christina Tsalicoglou, Michael Niemeyer, Torsten Sattler, Songyou Peng, Federico Tombari
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LOMIA: Label-Only Membership Inference Attacks against Pre-trained Large Vision-Language Models
Yihao LIU, Xinqi Lyu, Dong Wang, Yanjie Li, Bin Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas
Yun Hua, Shang Gao, Wenhao Li, Haosheng Chen, Bo Jin, Xiangfeng Wang, Jun Luo, Hongyuan Zha
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders
Borna Khodabandeh, Amirabbas Afzali, Amirhossein Afsharrad, Shahab Mousavi, Sanjay Lall, Sajjad Amini, Seyed-Mohsen Moosavi-Dezfooli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups
Masih Aminbeidokhti, Subhankar Roy, Eric Granger, Elisa Ricci, Marco Pedersoli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis
Berkay Döner, Thorir Mar Ingolfsson, Luca Benini, Yawei Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LVLM-Driven Attribute-Aware Modeling for Visible-Infrared Person Re-Identification
Zhiqi Pang, Lingling Zhao, Junjie Wang, Chunyu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
Florian Sestak, Artur Toshev, Andreas Fürst, Günter Klambauer, Andreas Mayr, Johannes Brandstetter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search
Pengyi Li, Hongyao Tang, Jinbin Qiao, YAN ZHENG, Jianye Hao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LaViDa: A Large Diffusion Language Model for Multimodal Understanding
Shufan Li, Konstantinos Kallidromitis, Hritik Bansal, Akash Gokul, Yusuke Kato, Kazuki Kozuka, Jason Kuen, Zhe Lin, Kai-Wei Chang, Aditya Grover
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LaX: Boosting Low-Rank Training of Foundation Models via Latent Crossing
Ruijie (Ray) Zhang, Ziyue (Alvin) Liu, Zhengyang Wang, Zheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LabelAny3D: Label Any Object 3D in the Wild
Jin Yao, Radowan Mahmud Redoy, Sebastian Elbaum, Matthew Dwyer, Zezhou Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LangHOPS: Language Grounded Hierarchical Open-Vocabulary Part Segmentation
Yang Miao, Jan-Nico Zaech, Xi Wang, Fabien Despinoy, Danda Pani Paudel, Luc V Gool
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPS
Wanhua Li, Yujie Zhao, Minghan Qin, Yang Liu, Yuanhao Cai, Chuang Gan, Hanspeter Pfister
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Language Model Behavioral Phases are Consistent Across Architecture, Training Data, and Scale
James Michaelov, Roger P. Levy, Benjamin Bergen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Language Modeling by Language Models
Junyan Cheng, Peter Clark, Kyle Richardson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations
Ji-An Li, Huadong Xiong, Robert Wilson, Marcelo G Mattar, Marcus K. Benna
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Language Models Can Predict Their Own Behavior
Dhananjay Ashok, Jonathan May
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Language Models can Self-Improve at State-Value Estimation for Better Search
Ethan Mendes, Alan Ritter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Language Ranker: A Lightweight Ranking framework for LLM Decoding
Chenheng Zhang, Tianqi Du, Jizhe Zhang, Mingqing Xiao, Yifei Wang, Yisen Wang, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing
Huanjia Zhu, Shuyuan Zheng, Yishu Liu, Sudong Cai, Bingzhi Chen
Machine Learning
日本大学: 大阪大学
2025 · NeurIPS
Large Language Bayes
Justin Domke
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Large Language Diffusion Models
Shen Nie, Fengqi Zhu, Zebin You, Xiaolu Zhang, Jingyang Ou, Jun Hu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan LI
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Large Language Models Think Too Fast To Explore Effectively
Lan Pan, Hanbo Xie, Robert Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Large Language Models as End-to-end Combinatorial Optimization Solvers
Xia Jiang, Yaoxin Wu, Minshuo Li, Zhiguang Cao, Yingqian Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Large Language Models as Model Organisms for Human Associative Learning
Camila Kolling, Vy Vo, Mariya Toneva
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need
Kecheng Chen, Pingping Zhang, Hui Liu, Jie Liu, Yibing Liu, Jiaxin Huang, Shiqi Wang, Hong Yan, Haoliang Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression
Jingfeng Wu, Pierre Marion, Peter L Bartlett
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Large language models can learn and generalize steganographic chain-of-thought under process supervision
ROBERT MC CARTHY, Joey SKAF, Luis Ibanez-Lissen, Vasil Georgiev, Connor Watts, Hannes Whittingham, Lorena Gonzalez-Manzano, Cameron Tice, Edward Young, Puria Radmard, David Lindner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Last Iterate Convergence in Monotone Mean Field Games
Noboru Isobe, Kenshi Abe, Kaito Ariu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Last-Iterate Convergence of Smooth Regret Matching$^+$ Variants in Learning Nash Equilibria
Linjian Meng, Youzhi Zhang, Zhenxing Ge, Tianyu Ding, Shangdong Yang, Zheng Xu, Wenbin Li, Yang Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Latency NMS Attacks: Is It Real Life or Is It Just Fantasy?
Jean-Philippe Monteuuis, Cong Chen, Jonathan Petit
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Latent Chain-of-Thought for Visual Reasoning
Guohao Sun, Hang Hua, Jian Wang, Jiebo Luo, Sohail Dianat, MAJID RABBANI, Raghuveer Rao, Zhiqiang Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Latent Harmony: Synergistic Unified UHD Image Restoration via Latent Space Regularization and Controllable Refinement
Yidi Liu, Xueyang Fu, Jie Huang, Jie Xiao, Dong Li, Wenlong Zhang, LEI BAI, Zheng-Jun Zha
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning
Haoran Li, CHENHAN XIAO, Muhao Guo, Yang Weng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution
Zhanyi Sun, Shuran Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Latent Principle Discovery for Language Model Self-Improvement
Keshav Ramji, Tahira Naseem, Ramón Astudillo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving
Hossein Askari, Yadan Luo, Hongfu Sun, Fred Roosta
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Latent Retrieval Augmented Generation of Cross-Domain Protein Binders
Zishen Zhang, Xiangzhe Kong, Wenbing Huang, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Latent Space Factorization in LoRA
Shashi Kumar, Yacouba Kaloga, John Mitros, Petr Motlicek, Ina Kodrasi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
Zinan Lin, Enshu Liu, Xuefei Ning, Junyi Zhu, Wenyu Wang, Sergey Yekhanin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity
Guangze Zheng, Shijie Lin, Haobo Zuo, Si Si, Ming-Shan Wang, Changhong Fu, Jia Pan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation
Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Layer-Wise Modality Decomposition for Interpretable Multimodal Sensor Fusion
Jaehyun Park, Konyul Park, Daehun Kim, Junseo Park, Jun Won Choi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning
Jisoo Kim, Sungmin Kang, Sunwoo Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LayerCraft: Enhancing Text-to-Image Generation with CoT Reasoning and Layered Object Integration
Yuyao Zhang, Jinghao Li, Yu-Wing Tai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions
Hadi Askari, Shivanshu Gupta, Fei Wang, Anshuman Chhabra, Muhao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LayerNavigator: Finding Promising Intervention Layers for Efficient Activation Steering in Large Language Models
Hao Sun, Huailiang Peng, Qiong Dai, Xu Bai, Yanan Cao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based Video Generation
Huanlin Gao, Ping Chen, Fuyuan Shi, Chao Tan, Zhaoxiang Liu, Fang Zhao, Kai Wang, Shiguo Lian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LeVo: High-Quality Song Generation with Multi-Preference Alignment
Shun Lei, Yaoxun XU, ZhiweiLin, Huaicheng Zhang, Wei tan, Hangting Chen, Yixuan Zhang, Chenyu Yang, Haina Zhu, Shuai Wang, Zhiyong Wu, Dong Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching
Zhuo Cao, Xuan Zhao, Lena Krieger, Hanno Scharr, Ira Assent
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning
Ziqi Gu, Chunyan Xu, Wenxuan Fang, Xin Liu, Yide Qiu, Zhen Cui
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learn2Mix: Training Neural Networks Using Adaptive Data Integration
Shyam Venkatasubramanian, Vahid Tarokh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing
Manchao Bao, Shengjiang Fang, Tao Yue, Xuemei Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learnable Sampler Distillation for Discrete Diffusion Models
Feiyang Fu, Tongxian Guo, Zhaoqiang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learned Prefix Caching for Efficient LLM Inference
Dongsheng Yang, Austin Li, Kai Li, Wyatt Lloyd
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learning (Approximately) Equivariant Networks via Constrained Optimization
Andrei Manolache, Luiz Chamon, Mathias Niepert
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learning 3D Anisotropic Noise Distributions Improves Molecular Force Fields
Xixian Liu, Rui Jiao, ZHIYUAN LIU, Yurou Liu, Yang Liu, Ziheng Lu, Wenbing Huang, Yang Zhang, Yixin Cao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learning 3D Persistent Embodied World Models
Siyuan Zhou, Yilun Du, Yuncong Yang, Lei Han, Peihao Chen, Dit-Yan Yeung, Chuang Gan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learning Across the Gap: Hybrid Multi-armed Bandits with Heterogeneous Offline and Online Data
Qijia He, Minghan Wang, Xutong Liu, Zhiyong Wang, Fang Kong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learning CAD Modeling Sequences via Projection and Part Awareness
Yang Liu, Daxuan Ren, Yijie Ding, Jianmin Zheng, Fang Deng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learning Chern Numbers of Multiband Topological Insulators with Gauge Equivariant Neural Networks
Longde Huang, Oleksandr Balabanov, Hampus Linander, Mats Granath, Daniel Persson, Jan Gerken
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Imaging Inverse Problems
Deliang Wei, Peng Chen, Haobo Xu, Jiale Yao, Fang Li, Tieyong Zeng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learning Counterfactual Outcomes Under Rank Preservation
Peng Wu, Haoxuan Li, Chunyuan Zheng, Yan Zeng, Jiawei Chen, Yang Liu, Ruocheng Guo, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learning Crossmodal Interaction Patterns via Attributed Bipartite Graphs for Single-Cell Omics
Xiaotang Wang, Xuanwei Lin, Yun Zhu, Hao Li, Yongqi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learning Dense Hand Contact Estimation from Imbalanced Data
Daniel Jung, Kyoung Mu Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learning Differential Pyramid Representation for Tone Mapping
Qirui Yang, Yinbo Li, Yihao Liu, Peng-Tao Jiang, Fangpu Zhang, cheng qihua, Huanjing Yue, Jingyu Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learning Diffusion Models with Flexible Representation Guidance
Chenyu Wang, Cai Zhou, Sharut Gupta, Johnson Lin, Stefanie Jegelka, Stephen Bates, Tommi Jaakkola
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learning Dynamics of RNNs in Closed-Loop Environments
Yoav Ger, Omri Barak
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learning Efficient Fuse-and-Refine for Feed-Forward 3D Gaussian Splatting
Yiming Wang, Lucy Chai, Xuan Luo, Michael Niemeyer, Manuel Lagunas, Stephen Lombardi, Siyu Tang, Tiancheng Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning
Till Freihaut, Luca Viano, Volkan Cevher, Matthieu Geist, Giorgia Ramponi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Learning Expandable and Adaptable Representations for Continual Learning
Ruilong Yu, Mingyan Liu, Fei Ye, Adrian G. Bors, Rongyao Hu, Jingling sun, shijie zhou
Machine Learning
日本大学: 関与なし（対象大学）