NeurIPS

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

NeurIPS 公式サイト ↗

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
Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference
Zijie Geng, Jie Wang, Ziqi Liu, Feng Ju, Yiming Li, Xing Li, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Accurate and Efficient Low-Rank Model Merging in Core Space
Aniello Panariello, Daniel Marczak, Simone Magistri, Angelo Porrello, Bartłomiej Twardowski, Andrew D. Bagdanov, SIMONE CALDERARA, Joost van de Weijer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Accurately Predicting Protein Mutational Effects via a Hierarchical Many-Body Attention Network
Dahao Xu, Jiahua Rao, Mingming Zhu, Jixian Zhang, Wei Lu, Shuangjia Zheng, Yuedong Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning
Yang Chen, Zhuolin Yang, Zihan Liu, Chankyu Lee, Peng Xu, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play
Ran Xu, Yuchen Zhuang, Zihan Dong, Ruiyu Wang, Yue Yu, Joyce Ho, Linjun Zhang, Haoyu Wang, Wenqi Shi, Carl Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Achieving $\tilde{\mathcal{O}}(1/N)$ Optimality Gap in Restless Bandits through Gaussian Approximation
Chen YAN, Weina Wang, Lei Ying
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data
Tianyi Chen, Pengxiao Lin, Zhiwei Wang, Zhi-Qin John Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts
Haizhong Zheng, Yang Zhou, Brian Bartoldson, Bhavya Kailkhura, Fan Lai, Jiawei Zhao, Beidi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies
Jing Wang, Weiting Peng, Jing Tang, Zeyu Gong, Xihua Wang, Bo Tao, Li cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models
Xiaoyu Zhan, Wenxuan Huang, Hao Sun, Xinyu Fu, Changfeng Ma, Shaosheng Cao, Bohan Jia, Shaohui Lin, Zhenfei Yin, LEI BAI, Wanli Ouyang, Yuanqi Li, Jie Guo, Yanwen Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Activated LoRA: Fine-tuned LLMs for Intrinsics
Kristjan Greenewald, Luis Lastras, Thomas Parnell, Vraj Shah, Lucian Popa, Giulio Zizzo, Chulaka Gunasekara, Ambrish Rawat, David Cox
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models
Zekai Zhao, Qi Liu, Kun Zhou, Zihan Liu, Yifei Shao, Zhiting Hu, Biwei Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Activation-Guided Consensus Merging for Large Language Models
Yuxuan Yao, Shuqi LIU, Zehua Liu, Qintong Li, Mingyang LIU, Xiongwei Han, Zhijiang Guo, Han Wu, Linqi Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Activation-Informed Merging of Large Language Models
Amin Heyrani Nobari, Kaveh Alimohammadi, Ali ArjomandBigdeli, Akash Srivastava, Faez Ahmed, Navid Azizan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Active Measurement: Efficient Estimation at Scale
Max Hamilton, Jinlin Lai, Wenlong Zhao, Subhransu Maji, Daniel R. Sheldon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Active Seriation: Efficient Ordering Recovery with Statistical Guarantees
James Cheshire, Yann Issartel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Active Target Discovery under Uninformative Priors: The Power of Permanent and Transient Memory
Anindya Sarkar, Binglin Ji, Yevgeniy Vorobeychik
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Active Test-time Vision-Language Navigation
Heeju Ko, Sung June Kim, Gyeongrok Oh, Jeongyoon YOON, Honglak Lee, Sujin Jang, Seungryong Kim, Sangpil Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ActiveVOO: Value of Observation Guided Active Knowledge Acquisition for Open-World Embodied Lifted Regression Planning
Xiaotian Liu, Ali Pesaranghader, Jaehong Kim, Tanmana Sadhu, Hyejeong Jeon, Scott Sanner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Activity Pruning for Efficient Spiking Neural Networks
Tong Bu, Xinyu Shi, Zhaofei Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Actor-Free Continuous Control via Structurally Maximizable Q-Functions
Yigit Korkmaz, Urvi Bhuwania, Ayush Jain, Erdem Bıyık
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
Soyoung Yoon, Gyuwan Kim, Gyu-Hwung Cho, seung-won hwang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference
Yuan Feng, Junlin Lv, Yukun Cao, Xike Xie, S. Kevin Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization
Haotian Luo, Haiying He, Yibo Wang, Jinluan Yang, Rui Liu, Naiqiang Tan, Xiaochun Cao, Dacheng Tao, Li Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees
Hongyi Zhou, Jin Zhu, Pingfan Su, Kai Ye, Ying Yang, Shakeel Gavioli-Akilagun, Chengchun Shi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AdaLRS: Loss-Guided Adaptive Learning Rate Search for Efficient Foundation Model Pretraining
Hongyuan Dong, Dingkang Yang, Xiao Liang, ChaoFeng, Ran Jiao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning
Jingjing Zheng, Wanglong Lu, Yiming Dong, Chaojie Ji, Yankai Cao, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking
Xiangqi Wang, Yue Huang, Yanbo Wang, Xiaonan Luo, Kehan Guo, Yujun Zhou, Xiangliang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders
Yuezhou Hu, Jiaxin Guo, Xinyu Feng, Tuo Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
Reiss Koh, Wonbeen Oh, Jaein Jang, MinHyung Lee, Hyeongjin Kim, Ah Kim, Joonkee Kim, Junghyun Lee, Taehyeon Kim, Se-Young Yun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AdaTS: Learning Adaptive Time Series Representations via Dynamic Soft Contrasts
Denizhan Kara, Tomoyoshi Kimura, Jinyang Li, Bowen He, Yizhuo Chen, Yigong Hu, Hongjue Zhao, Shengzhong Liu, Tarek Abdelzaher
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding
Xue zhucun, Jiangning Zhang, Xie Xurong, Yuxuan Cai, Yong Liu, Xiangtai Li, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adam Reduces a Unique Form of Sharpness: Theoretical Insights Near the Minimizer Manifold
Xinghan Li, Haodong Wen, Kaifeng Lyu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness
Zhuoqun Huang, Neil Marchant, Olga Ohrimenko, Benjamin I.P. Rubinstein
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AdaptGrad: Adaptive Sampling to Reduce Noise
Linjiang Zhou, Chao Ma, Zepeng Wang, Libing Wu, XIAOCHUAN SHI
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptable Safe Policy Learning from Multi-task Data with Constraint Prioritized Decision Transformer
Ruiqi Xue, Ziqian Zhang, Lihe Li, Cong Guan, Lei Yuan, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adapting to Stochastic and Adversarial Losses in Episodic MDPs with Aggregate Bandit Feedback
Shinji Ito, Kevin G. Jamieson, Haipeng Luo, Arnab Maiti, Taira Tsuchiya
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
Adaptive 3D Reconstruction via Diffusion Priors and Forward Curvature-Matching Likelihood Updates
Seunghyeok Shin, Dabin Kim, Hongki Lim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization
Xiaochuan Gong, Jie Hao, Mingrui Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Batch-Wise Sample Scheduling for Direct Preference Optimization
Zixuan Huang, Yikun Ban, Lean Fu, Xiaojie Li, Zhongxiang Dai, Jianxin Li, deqing wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Cannistraci-Hebb Network Automata Modelling of Complex Networks for Path-based Link Prediction
Jialin Zhao, Alessandro Muscoloni, Umberto Michieli, Yingtao Zhang, Carlo Vittorio Cannistraci
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking
Pengxiang Li, Shilin Yan, Jiayin Cai, Renrui Zhang, Ruichuan An, Ziyu Guo, Xiaowei Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning
Wenchang Duan, Yaoliang Yu, Jiwan He, Yi Shi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Data Analysis for Growing Data
Neil Marchant, Benjamin I.P. Rubinstein
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Data-Borrowing for Improving Treatment Effect Estimation using External Controls
Qinwei Yang, Jingyi Li, Peng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler
Zixuan Hu, Li Shen, Zhenyi Wang, Yongxian Wei, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Discretization for Consistency Models
Jiayu Bai, Zhanbo Feng, Zhijie Deng, TianQi Hou, Robert Qiu, Zenan Ling
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search
Yanbo Wang, Zixiang Xu, Yue Huang, Gao Chujie, Siyuan Wu, Jiayi Ye, Pin-Yu Chen, Xiuying Chen, Xiangliang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models
Jiajun Fan, Tong Wei, Chaoran Cheng, Yuxin Chen, Ge Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Fission: Post-training Encoding for Low-latency Spike Neural Networks
Yizhou Jiang, Feng Chen, Yihan Li, Yuqian Liu, Haichuan Gao, Tianren Zhang, Ying Fang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing
XianJun Davin Choo, Yuqi Pan, Tonghan Wang, Milind Tambe, Alastair van Heerden, Cheryl Johnson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Gradient Masking for Balancing ID and MLLM-based Representations in Recommendation
Yidong Wu, Siyuan Chen, Binrui Wu, Fan Li, Jiechao Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Inference-Time Scaling via Cyclic Diffusion Search
Gyubin Lee, Bao Truong, Jaesik Yoon, Dongwoo Lee, Minsu Kim, Yoshua Bengio, Sungjin Ahn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
Richard Suwandi, Feng Yin, Juntao Wang, Renjie Li, Tsung-Hui Chang, Sergios Theodoridis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Latent-Space Constraints in Personalized Federated Learning
Sana Ayromlou, David B. Emerson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning
Lei Wang, Jieming Bian, Letian Zhang, Jie Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning
Yixiu Mao, Yun Qu, Qi Wang, Xiangyang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees
Sangwoo Park, Matteo Zecchin, Osvaldo Simeone
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Preference Arithmetic: A Personalized Agent with Adaptive Preference Arithmetic for Dynamic Preference Modeling
Hongyi Nie, Yaqing Wang, Mingyang Zhou, Feiyang Pan, Quanming Yao, Zhen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Quantization in Generative Flow Networks for Probabilistic Sequential Prediction
Nadhir Hassen, Zhen Zhang, Johan Verjans
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Re-calibration Learning for Balanced Multimodal Intention Recognition
Qu Yang, Xiyang Li, Fu Lin, Mang Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing
Kangkang Deng, Jiachen Jin, Jiang Hu, Hongxia Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Sigmoid Clipping for Balancing the Direction–Magnitude Mismatch Trade-off in Differentially Private Learning
Faeze Moradi Kalarde, Ali Bereyhi, Ben Liang, Min Dong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling
Ruoyu Wang, Beier Zhu, Junzhi Li, Liangyu Yuan, Chi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks
Korneel Van den Berghe, Stein Stroobants, Vijay Janapa Reddi, Guido de Croon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Time Encoding for Irregular Multivariate Time-Series Classification
Sangho Lee, Kyeongseo Min, Youngdoo Son, Hyungrok Do
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive Variance Inflation in Thompson Sampling: Efficiency, Safety, Robustness, and Beyond
Feng Zhu, David Simchi-Levi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptive and Multi-scale Affinity Alignment for Hierarchical Contrastive Learning
Jiawei Huang, Minming Li, Hu Ding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adaptively Coordinating with Novel Partners via Learned Latent Strategies
Benjamin Li, Shuyang Shi, Lucia Romero, Huao Li, Yaqi Xie, Woojun Kim, Stefanos Nikolaidis, Charles Lewis, Katia Sycara, Simon Stepputtis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Additive Models Explained: A Computational Complexity Approach
Shahaf Bassan, Michal Moshkovitz, Guy Katz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Addressing Mark Imbalance in Integration-free Marked Temporal Point Processes
Sishun Liu, KE DENG, Yongli Ren, Yan Wang, Xiuzhen Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency
Yukun Jiang, Mingjie Li, Michael Backes, Yang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adjoint Schrödinger Bridge Sampler
Guan-Horng Liu, Jaemoo Choi, Yongxin Chen, Benjamin K Miller, Ricky T. Q. Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adjusted Count Quantification Learning on Graphs
Clemens Damke, Eyke Hüllermeier
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion Models
Hyeonggeun Han, Sehwan Kim, Hyungjun Joo, Sangwoo Hong, Jungwoo Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees
Yangning Li, Shaoshen Chen, Yinghui Li, Yankai Chen, Hai-Tao Zheng, Hui Wang, Wenhao Jiang, Philip S Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adv-BMT: Bidirectional Motion Transformer for Safety-Critical Traffic Scenario Generation
Yuxin Liu, Zhenghao (Mark) Peng, Xuanhao Cui, Bolei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees
Chenguang Duan, Yuling Jiao, Huazhen Lin, Wensen Ma, Jerry Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AdvEDM: Fine-grained Adversarial Attack against VLM-based Embodied Agents
Yichen Wang, Hangtao Zhang, Hewen Pan, Ziqi Zhou, Xianlong Wang, Peijin Guo, Lulu Xue, Shengshan Hu, Minghui Li, Leo Yu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AdvPrefix: An Objective for Nuanced LLM Jailbreaks
Sicheng Zhu, Brandon Amos, Yuandong Tian, Chuan Guo, Ivan Evtimov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Advanced Sign Language Video Generation with Compressed and Quantized Multi-Condition Tokenization
Cong Wang, Zexuan Deng, Zhiwei Jiang, Yafeng Yin, Fei Shen, Zifeng Cheng, Shiping Ge, Shiwei Gan, Qing Gu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Advancing Compositional Awareness in CLIP with Efficient Fine-Tuning
Amit Peleg, Naman Deep Singh, Matthias Hein
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Advancing Expert Specialization for Better MoE
Hongcan Guo, Haolang Lu, Guoshun Nan, Bolun Chu, Jialin Zhuang, Yuan Yang, Wenhao Che, Xinye Cao, Sicong Leng, Qimei Cui, Xudong Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Advancing Interpretability of CLIP Representations with Concept Surrogate Model
Nhat Hoang-Xuan, Xiyuan Wei, Wanli Xing, Tianbao Yang, My T. Thai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective
Chenwang Wu, Yiu-ming Cheung, Bo Han, Defu Lian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration
Yifeng Yu, Lu Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment
Xiaojun Jia, Sensen Gao, Simeng Qin, Tianyu Pang, Chao Du, Yihao Huang, Xinfeng Li, Yiming Li, Bo Li, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adversarial Diffusion for Robust Reinforcement Learning
Daniele Foffano, Alessio Russo, Alexandre Proutiere
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation
Zhangqi Jiang, Tingjin Luo, Xu Yang, Xinyan Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning
Jiyuan Shi, Xinzhe Liu, Dewei Wang, ouyang lu, Sören Schwertfeger, Chi Zhang, Fuchun Sun, Chenjia Bai, Xuelong Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text
Yize Cheng, Vinu Sankar Sadasivan, Mehrdad Saberi, Shoumik Saha, Soheil Feizi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adversarial Robustness of Nonparametric Regression
Parsa Moradi, Hanzaleh Nodehi, Mohammad Ali Maddah-Ali
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adversarial generalization of unfolding (model-based) networks
Vicky Kouni
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Adversary Aware Optimization for Robust Defense
Daniel Wesego, Pedram Rooshenas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AegisGuard: RL-Guided Adapter Tuning for TEE-Based Efficient & Secure On-Device Inference
CHE WANG, Ziqi Zhang, Yinggui Wang, Tiantong Wang, Yurong Hao, Jianbo Gao, Tao Wei, Yang Cao, Zhong Chen, Wei Yang Bryan Lim
Machine Learning
日本大学: 東京科学大学
2025 · NeurIPS
Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance
Qiujiang Jin, Aryan Mokhtari
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AffordBot: 3D Fine-grained Embodied Reasoning via Multimodal Large Language Models
Xinyi Wang, Xun Yang, Yanlong Xu, Yuchen Wu, Zhen Li, Na Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization
Mingzhe Du, Anh Tuan Luu, Yue Liu, Yuhao Qing, Dong HUANG, Xinyi He, Qian Liu, Zejun MA, See-Kiong Ng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AgentAuditor: Human-level Safety and Security Evaluation for LLM Agents
Hanjun Luo, Shenyu Dai, Chiming Ni, Xinfeng Li, Guibin Zhang, Kun Wang, Tongliang Liu, Hanan Salam
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AgentBreeder: Mitigating the AI Safety Risks of Multi-Agent Scaffolds via Self-Improvement
J Rosser, Jakob Foerster
Machine Learning
日本大学: 関与なし（対象大学）