NeurIPS

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

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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
Disentangling Superpositions: Interpretable Brain Encoding Model with Sparse Concept Atoms
Alicia Zeng, Jack Gallant
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Disentangling misreporting from genuine adaptation in strategic settings: a causal approach
Dylan Zapzalka, Trenton Chang, Lindsay Warrenburg, Sae-Hwan Park, Daniel Shenfeld, Ravi B. Parikh, Jenna Wiens, Maggie Makar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search
Yousef Al-Jazzazi, Haya Diwan, Jinrui Gou, Cameron Musco, Christopher Musco, Torsten Suel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distance-informed Neural Processes
Aishwarya Venkataramanan, Joachim Denzler
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distances for Markov chains from sample streams
Sergio Calo, Anders Jonsson, Gergely Neu, Ludovic Schwartz, Javier Segovia-Aguas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distil-E2D: Distilling Image-to-Depth Priors for Event-Based Monocular Depth Estimation
Jie Long Lee, Gim Hee Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distillation Robustifies Unlearning
Bruce W Lee, Addie Foote, Alex Infanger, Leni Shor, Harish Kamath, Jacob Goldman-Wetzler, Bryce Woodworth, Alex Cloud, Alexander Turner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation
Enshu Liu, Qian Chen, Xuefei Ning, Shengen Yan, Guohao Dai, Zinan Lin, Yu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distilling LLM Agent into Small Models with Retrieval and Code Tools
Minki Kang, Jongwon Jeong, Seanie Lee, Jaewoong Cho, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distilling LLM Prior to Flow Model for Generalizable Agent’s Imagination in Object Goal Navigation
Badi Li, Ren-Jie Lu, Yu Zhou, Jingke Meng, Wei-Shi Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences?
Paul Gölz, Nika Haghtalab, Kunhe Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distributed Multi-Agent Bandits Over Erdős-Rényi Random Networks
Jingyuan Liu, Hao Qiu, Lin F. Yang, Mengfan Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distributed mediation analysis with communication efficiency
Shaomin Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distribution Learning Meets Graph Structure Sampling
Arnab Bhattacharyya, Sutanu Gayen, Philips George John, Sayantan Sen, N. V. Vinodchandran
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distribution-Aligned Decoding for Efficient LLM Task Adaptation
Senkang Hu, Xudong Han, Jinqi Jiang, Yihang Tao, Zihan Fang, Yong Dai, Sam Kwong, Yuguang Fang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks
Alper KALLE, Théo Rudkiewicz, Mohamed Ouerfelli, Mohamed Tamaazousti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distributional Adversarial Attacks and Training in Deep Hedging
Guangyi He, Tobias Sutter, Lukas Gonon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distributional Autoencoders Know the Score
Andrej Leban
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distributional LLM-as-a-Judge
Luyu Chen, Zeyu Zhang, Haoran Tan, Quanyu Dai, Yang Hao, Zhenhua Dong, Xu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distributional Training Data Attribution: What do Influence Functions Sample?
Bruno Kacper Mlodozeniec, Isaac Reid, Sam Power, David Krueger, Murat A Erdogdu, Richard E Turner, Roger Baker Grosse
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distributionally Robust Feature Selection
Maitreyi Swaroop, Tamar Krishnamurti, Bryan Wilder
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distributionally Robust Performative Optimization
Zhuangzhuang Jia, Yijie Wang, Roy Dong, Grani A. Hanasusanto
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Distributive Fairness in Large Language Models: Evaluating Alignment with Human Values
Hadi Hosseini, Samarth Khanna
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection
Chiara Cappellino, Gianluca Mancusi, Matteo Mosconi, Angelo Porrello, SIMONE CALDERARA, Rita Cucchiara
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum
Wenquan Lu, Jiaqi Zhang, Hugues Van Assel, Randall Balestriero
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability
Hoang Son Nguyen, Xiao Fu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diversifying Parallel Ergodic Search: A Signature Kernel Evolution Strategy
Sreevardhan Sirigiri, Christian Hughes, Ian Abraham, Fabio Ramos
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes
Peter Ochieng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data
Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Qianli Shen, Yaliang Li, Ying Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diversity-Aware Policy Optimization for Large Language Model Reasoning
Jian Yao, Ran Cheng, Xingyu Wu, Jibin Wu, KC Tan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Diversity-oriented Deep Multi-modal Clustering
Wang Yanzheng, Xin Yang, Yujun Wang, Shizhe Hu, Mingliang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation
Sanjana Ramprasad, Byron Wallace
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness
Rongzhe Wei, Peizhi Niu, Hans Hao-Hsun Hsu, Ruihan Wu, Haoteng Yin, Mohsen Ghassemi, Yifan Li, Vamsi K. Potluru, Eli Chien, Kamalika Chaudhuri, Olgica Milenkovic, Pan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns
Menghao Zhang, Huazheng Wang, Pengfei Ren, Kangheng Lin, Qi Qi, Haifeng Sun, Zirui Zhuang, Lei Zhang, Jianxin Liao, Jingyu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Do Language Models Use Their Depth Efficiently?
Róbert Csordás, Christopher D Manning, Chris Potts
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Do Neural Networks Need Gradient Descent to Generalize? A Theoretical Study
‪Yotam Alexander‬‏, Yonatan Slutzky, Yuval Ran-Milo, Nadav Cohen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Do different prompting methods yield a common task representation in language models?
Guy Davidson, Todd Gureckis, Brenden M Lake, Adina Williams
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Do-PFN: In-Context Learning for Causal Effect Estimation
Jake Robertson, Arik Reuter, Siyuan Guo, Noah Hollmann, Frank Hutter, Bernhard Schölkopf
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DoDo-Code: an Efficient Levenshtein Distance Embedding-based Code for 4-ary IDS Channel
Alan J.X. Guo, Sihan Sun, Xiang Wei, Mengyi Wei, Xin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback
Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Document Summarization with Conformal Importance Guarantees
Bruce Kuwahara, Chen-Yuan Lin, Xiao Shi Huang, Kin Kwan Leung, Jullian Yapeter, Ilya Stanevich, Felipe Perez, Jesse C. Cresswell
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers?
Yihao Li, Saeed Salehi, Lyle H. Ungar, Konrad Kording
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Yang Yue, Zhiqi Chen, Rui Lu, Andrew Zhao, Zhaokai Wang, Yang Yue, Shiji Song, Gao Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Does Representation Guarantee Welfare?
Jakob de Raaij, Ariel D Procaccia, Alexandros Psomas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Does Stochastic Gradient really succeed for bandits?
Dorian Baudry, Emmeran Johnson, Simon Vary, Ciara Pike-Burke, Patrick Rebeschini
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Does Thinking More Always Help? Mirage of Test-Time Scaling in Reasoning Models
Soumya Suvra Ghosal, Souradip Chakraborty, Avinash Reddy, Yifu Lu, Mengdi Wang, Dinesh Manocha, Furong Huang, Mohammad Ghavamzadeh, Amrit Singh Bedi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Domain Adaptive Hashing Retrieval via VLM Assisted Pseudo-Labeling and Dual Space Adaptation
Jingyao Li, Zhanshan Li, Shuai Lü
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection
Yu Li, Xingyu Qiu, Yuqian Fu, Jie Chen, Tianwen Qian, Xu Zheng, Danda Pani Paudel, Yanwei Fu, Xuanjing Huang, Luc V Gool, Yu-Gang Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations
Zican Dong, Han Peng, Peiyu Liu, Xin Zhao, Dong Wu, Feng Xiao, Zhifeng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Don't Just Chase “Highlighted Tokens” in MLLMs: Revisiting Visual Holistic Context Retention
Xin Zou, Di Lu, Yizhou Wang, Yibo Yan, Yuanhuiyi Lyu, Xu Zheng, Linfeng Zhang, Xuming Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Don't be lazy: CompleteP enables compute-efficient deep transformers
Nolan Dey, Bin Zhang, Lorenzo Noci, Mufan Li, Blake Bordelon, Shane Bergsma, Cengiz Pehlevan, Boris Hanin, Joel Hestness
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models
Zitong Shi, Frank Wan, Haixin Wang, Ruoyan Li, Zijie Huang, Wanjia Zhao, Yijia Xiao, Xiao Luo, Carl Yang, Yizhou Sun, Wei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Don’t Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep Allocation
Woojin Kim, Jaeyoung Do
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Don’t Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models
Sohyun An, Ruochen Wang, Tianyi Zhou, Cho-Jui Hsieh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Don’t Trade Off Safety: Diffusion Regularization for Constrained Offline RL
Junyu guo, Zhi Zheng, Donghao Ying, Ming Jin, Shangding Gu, Costas J Spanos, Javad Lavaei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Doodle to Detect: A Goofy but Powerful Approach to Skeleton-based Hand Gesture Recognition
Sang Hoon Han, Seonho Lee, Hyeok Nam, Jae Hyeon Park, Min Hee Cha, Min Geol Kim, Hyunse Lee, Sangyeon Ahn, Moonju Chae, Sung In Cho
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DoseSurv: Predicting Personalized Survival Outcomes under Continuous-Valued Treatments
Moritz Gögl, Yu Liu, Christopher Yau, Peter Watkinson, Tingting Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the Role of Model Complexity
Mouïn Ben Ammar, David Brellmann, Arturo Mendoza, Antoine Manzanera, Gianni Franchi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Doubly Robust Alignment for Large Language Models
Erhan Xu, Kai Ye, Hongyi Zhou, Luhan Zhu, Francesco Quinzan, Chengchun Shi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings
Houssam Zenati, Bariscan Bozkurt, Arthur Gretton
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dr. RAW: Towards General High-Level Vision from RAW with Efficient Task Conditioning
Wenjun Huang, Ziteng Cui, Yinqiang Zheng, Yirui He, Tatsuya Harada, Mohsen Imani
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
Zhiyuan Liang, Dongwen Tang, Yuhao Zhou, Xuanlei Zhao, Mingjia Shi, Wangbo Zhao, Zekai Li, Peihao Wang, Konstantin Schürholt, Damian Borth, Michael Bronstein, Yang You, Zhangyang "Atlas" Wang, Kai Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DreamLight: Towards Harmonious and Consistent Image Relighting
Yong Liu, Wenpeng Xiao, Qianqian Wang, Junlin Chen, Shiyin Wang, Yitong Wang, Xinglong Wu, Yansong Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DreamPRM: Domain-reweighted Process Reward Model for Multimodal Reasoning
Qi Cao, Ruiyi Wang, Ruiyi Zhang, Sai Ashish Somayajula, Pengtao Xie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge
Wenyao Zhang, Hongsi Liu, Zekun Qi, Yunnan Wang, XinQiang Yu, Jiazhao Zhang, Runpei Dong, Jiawei He, He Wang, Zhizheng Zhang, Li Yi, Wenjun Zeng, Xin Jin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving
Shuyao Shang, Yuntao Chen, Yuqi Wang, Yingyan Li, ZHAO-XIANG ZHANG
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving
Hao LU, Tianshuo Xu, Wenzhao Zheng, Yunpeng Zhang, Wei Zhan, Dalong Du, Masayoshi TOMIZUKA, Kurt Keutzer, Yingcong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DuSA: Fast and Accurate Dual-Stage Sparse Attention Mechanism Accelerating Both Training and Inference
Chong Wu, Jiawang Cao, Renjie Xu, Zhuoheng Ran, Maolin Che, Wenbo Zhu, Hong Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dual Alignment Framework for Few-shot Learning with Inter-Set and Intra-Set Shifts
Siyang Jiang, Rui Fang, Hsi-Wen Chen, Wei Ding, Guoliang Xing, Ming-syan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable
Ruoxin Chen, Junwei Xi, Zhiyuan Yan, Ke-Yue Zhang, Shuang Wu, Jingyi Xie, Xu Chen, Lei Xu, Isabel Guan, Taiping Yao, Shouhong Ding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation
Xin Ma, Yifan Wang, Siyu Yi, Wei Ju, Junyu Luo, Yusheng Zhao, Xiao Luo, Jiancheng Lv
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dual-Comb Ghost Imaging with Transformer-Based Reconstruction for Optical Fiber Endomicroscopy
David Dang, Myoung-Gyun Suh, Maodong Gao, ByoungJun Park, Beyonce Hu, Yucheng Jin, Wilton Kort-Kamp, Ho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via $\textit{In-the-wild}$ Cascading Flow Optimization
Yixiao Chen, Shikun Sun, Jianshu Li, Ruoyu Li, Zhe Li, Junliang Xing
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dual-Path Temporal Decoder for End-to-End Multi-Object Tracking
Hyunseop Kim, Juheon Jeong, Hanul Kim, Yeong Jun Koh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dual-Res Tandem Mamba-3D: Bilateral Breast Lesion Detection and Classification on Non-contrast Chest CT
Jiaheng Zhou, Wei Fang, Luyuan Xie, Yanfeng Zhou, Lianyan Xu, Minfeng Xu, Ge Yang, Yuxing Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dual-Space Semantic Synergy Distillation for Continual Learning of Unlabeled Streams
Donghao Sun, Xi Wang, Xu Yang, Kun Wei, Cheng Deng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning
Ankan Deria, Adinath Dukre, feilong tang, Sara Atito, Sudipta Roy, Muhammad Awais, Muhammad Haris Khan, Imran Razzak
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DualCnst: Enhancing Zero-Shot Out-of-Distribution Detection via Text-Image Consistency in Vision-Language Models
Fayi Le, Wenwu He, Chentao Cao, Dong Liang, Zhuo-Xu Cui
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DualEqui: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules
Junjie Xu, Jiahao Zhang, Mangal Prakash, Xiang Zhang, Suhang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DualFocus: Depth from Focus with Spatio-Focal Dual Variational Constraints
Sungmin Woo, Sangyoun Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DualMPNN: Harnessing Structural Alignments for High-Recovery Inverse Protein Folding
Xuhui Liao, qiyu wang, Zhiqiang Liang, Liwei Xiao, Junjie Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers
Xuyang Zhong, Haochen Luo, Chen Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DuetGraph: Coarse-to-Fine Knowledge Graph Reasoning with Dual-Pathway Global-Local Fusion
Jin Li, Zezhong Ding, Xike Xie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs
Ruokai Yin, Yuhang Li, Donghyun Lee, Priyadarshini Panda
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DyFlow: Dynamic Workflow Framework for Agentic Reasoning
Yanbo Wang, Zixiang Xu, Yue Huang, Xiangqi Wang, Zirui Song, Lang Gao, Chenxi Wang, Robert Tang, Yue Zhao, Arman Cohan, Xiangliang Zhang, Xiuying Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
Dongyuan Li, Shiyin Tan, Ying Zhang, Ming Jin, Shirui Pan, Manabu Okumura, Renhe Jiang
Machine Learning
日本大学: 東京科学大学 / 東京大学
2025 · NeurIPS
DyMU: Dynamic Merging and Virtual Unmerging for Efficient Variable-Length VLMs
Zhenhailong Wang, Senthil Purushwalkam, Caiming Xiong, Silvio Savarese, Heng Ji, Ran Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DyMoDreamer: World Modeling with Dynamic Modulation
Boxuan Zhang, Runqing Wang, Wei Xiao, Weipu Zhang, Jian Sun, Gao Huang, Jie Chen, Gang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dyn-O: Building Structured World Models with Object-Centric Representations
Zizhao Wang, Kaixin Wang, Li Zhao, Peter Stone, Jiang Bian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DynaAct: Large Language Model Reasoning with Dynamic Action Spaces
Xueliang Zhao, Wei Wu, Jian Guan, Qintong Li, Lingpeng Kong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance
Maximilian Du, Shuran Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DynaNav: Dynamic Feature and Layer Selection for Efficient Visual Navigation
Jiahui Wang, Changhao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DynaPhArM: Adaptive and Physics-Constrained Modeling for Target-Drug Complexes with Drug-Specific Adaptations
Diya Zhang, Mengwei Sun, Xingdan Wang, Cheng Liang, Qiaozhen Meng, Shiqiang Ma, Fei Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DynaPipe: Dynamic Layer Redistribution for Efficient Serving of LLMs with Pipeline Parallelism
HongXin Xu, Tianyu Guo, Xianwei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DynaRend: Learning 3D Dynamics via Masked Future Rendering for Robotic Manipulation
Jingyi Tian, Le Wang, Sanping Zhou, Sen Wang, lijiayi, Gang Hua
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation
Zihan Wang, Seungjun Lee, Gim Hee Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dynamic Algorithm for Explainable $k$-medians Clustering under $\ell_p$ Norm
Konstantin Makarychev, Ilias Papanikolaou, Liren Shan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs
Yusheng Zhao, Qixin Zhang, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S Yu, Ming Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph
Mingxuan Ye, Jie Wang, Fangzhou, Zhihai Wang, Yufei Kuang, Xijun Li, Weilin Luo, Jianye Hao, Feng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond
Kiarash Banihashem, Jeff Giliberti, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
Machine Learning
日本大学: 関与なし（対象大学）