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
A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees
Yuhao Zhou, Jintao Xu, Bingrui Li, Chenglong Bao, Chao Ding, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Reinforcement Learning-based Bidding Strategy for Data Consumers in Auction-based Federated Learning
Xiaoli Tang, Han Yu, Xiaoxiao Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Reliable Cryptographic Framework for Empirical Machine Unlearning Evaluation
Yiwen Tu, Pingbang Hu, Jiaqi Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks
Georgios Mentzelopoulos, Ioannis Asmanis, Konrad Kording, Eva L Dyer, Kostas Daniilidis, Flavia Vitale
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Semantic Parsing Framework for End-to-End Time Normalization
Xin Su, Sungduk Yu, Phillip Howard, Steven Bethard
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and Triggers
Zhixiao Wu, Yao Lu, Jie Wen, Hao Sun, Qi Zhou, Guangming Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Signed Graph Approach to Understanding and Mitigating Oversmoothing
Jiaqi Wang, Xinyi Wu, James Cheng, Yifei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Simple Linear Patch Revives Layer-Pruned Large Language Models
Xinrui Chen, Haoli Bai, Tao Yuan, ruikang liu, Kang Zhao, Xianzhi Yu, Lu Hou, Tian Guan, Yonghong He, Chun Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization
Wei Shen, Jiawei zhang, Minhui Huang, Cong Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Single-Loop Gradient Algorithm for Pessimistic Bilevel Optimization via Smooth Approximation
Qichao Cao, Shangzhi Zeng, Jin Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Single-Swap Local Search Algorithm for k-Means of Lines
Ting Liang, Xiaoliang Wu, Junyu Huang, Jianxin Wang, Qilong Feng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search
Arnav Kumar Jain, Vibhakar Mohta, Subin Kim, Atiksh Bhardwaj, Juntao Ren, Yunhai Feng, Sanjiban Choudhury, Gokul Swamy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning
Yuzheng Hu, Fan Wu, Haotian Ye, David A. Forsyth, James Y Zou, Nan Jiang, Jiaqi Ma, Han Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Stable Whitening Optimizer for Efficient Neural Network Training
Kevin Frans, Sergey Levine, Pieter Abbeel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics
Licong Lin, Song Mei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A TRIANGLE Enables Multimodal Alignment Beyond Cosine Similarity
Giordano Cicchetti, Eleonora Grassucci, Danilo Comminiello
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Tale of Two Symmetries: Exploring the Loss Landscape of Equivariant Models
YuQing Xie, Tess Smidt
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Temporal Difference Method for Stochastic Continuous Dynamics
Haruki Settai, Naoya Takeishi, Takehisa Yairi
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
A Theoretical Framework for Grokking: Interpolation followed by Riemannian Norm Minimisation
Etienne Boursier, Scott Pesme, Radu-Alexandru Dragomir
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning
Zhi Zhou, Tan Yuhao, Zenan Li, Yuan Yao, Lan-Zhe Guo, Yu-Feng Li, Xiaoxing Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Theory for Worst-Case vs. Average-Case Guarantees for LLMs
Noga Amit, Shafi Goldwasser, Orr Paradise, Guy Rothblum
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone
Jitai Hao, Qiang Huang, Hao Liu, Xinyan Xiao, Zhaochun Ren, Jun Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Unified Analysis of Stochastic Gradient Descent with Arbitrary Data Permutations and Beyond
Yipeng Li, Xinchen Lyu, Zhenyu Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Unified Approach to Submodular Maximization Under Noise
Kshipra Bhawalkar, Yang Cai, Zhe Feng, Christopher Liaw, Tao Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Unified Framework for Fair Graph Generation: Theoretical Guarantees and Empirical Advances
Zichong Wang, Zhipeng Yin, Wenbin Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values
Tyler Chen, Akshay Seshadri, Mattia Jacopo Villani, Pradeep Niroula, Shouvanik Chakrabarti, Archan Ray, Pranav Deshpande, Romina Yalovetzky, Marco Pistoia, Niraj Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
Binh Ho, Long Nguyen-Chi, TrungTin Nguyen, Van Hoang, Thanh Binh Nguyen, Chris Drovandi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Unified Framework for the Transportability of Population-Level Causal Measures
Ahmed Boughdiri, Clément Berenfeld, Julie Josse, Erwan Scornet
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Unified Reasoning Framework for Holistic Zero-Shot Video Anomaly Analysis
Dongheng Lin, Mengxue Qu, Kunyang Han, Jianbo Jiao, Xiaojie Jin, Yunchao Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarking
Zixiang Zhao, Haowen Bai, Bingxin Ke, Yukun Cui, Lilun Deng, Yulun Zhang, Kai Zhang, Konrad Schindler
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias
WEI-KAI CHANG, Rajiv Khanna
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A Unifying View of Linear Function Approximation in Off-Policy RL Through Matrix Splitting and Preconditioning
Zechen Wu, Amy Greenwald, Ronald E Parr
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A data and task-constrained mechanistic model of the mouse outer retina shows robustness to contrast variations
Kyra Kadhim, Jonas Beck, Ziwei Huang, Jakob H Macke, Fred Rieke, Thomas Euler, Michael Deistler, Philipp Berens
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A faster training algorithm for regression trees with linear leaves, and an analysis of its complexity
Kuat Gazizov, Miguel A. Carreira-Perpinan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A geometric framework for momentum-based optimizers for low-rank training
Steffen Schotthöfer, Timon Klein, Jonas Kusch
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders
David Chanin, James Wilken-Smith, Tomáš Dulka, Hardik Bhatnagar, Satvik Golechha, Joseph Bloom
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A learnability analysis on neuro-symbolic learning
Hao-Yuan He, Ming LI
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A machine learning approach that beats Rubik's cubes
Alexander Chervov, Kirill Khoruzhii, Nikita Bukhal, Jalal Naghiyev, Vladislav Zamkovoy, Ivan Koltsov, Lyudmila Cheldieva, Arsenii Sychev, Arsenii Lenin, Mark Obozov, Egor Urvanov, Alexey Romanov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A multiscale analysis of mean-field transformers in the moderate interaction regime
Giuseppe Bruno, Federico Pasqualotto, Andrea Agazzi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A solvable model of learning generative diffusion: theory and insights
Hugo Cui, Cengiz Pehlevan, Yue Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A unified framework for establishing the universal approximation of transformer-type architectures
Jingpu Cheng, Ting Lin, Zuowei Shen, Qianxiao Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A$^3$E: Towards Compositional Model Editing
Hongming Piao, Hao Wang, Dapeng Wu, Ying Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings
Xiaoang Xu, Shuo Wang, Xu Han, Zhenghao Liu, Huijia Wu, Peipei Li, Zhiyuan Liu, Maosong Sun, Zhaofeng He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
A-Mem: Agentic Memory for LLM Agents
Wujiang Xu, Zujie Liang, Kai Mei, Hang Gao, Juntao Tan, Yongfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AANet: Virtual Screening under Structural Uncertainty via Alignment and Aggregation
Wenyu Zhu, Jianhui Wang, Bowen Gao, Yinjun Jia, Haichuan Tan, Ya-Qin Zhang, Wei-Ying Ma, Yanyan Lan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation
Sixiang Chen, Jiaming Liu, Siyuan Qian, Han Jiang, Zhuoyang Liu, Chenyang Gu, Xiaoqi Li, Chengkai Hou, Pengwei Wang, Zhongyuan Wang, Renrui Zhang, Shanghang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AC-LoRA: (Almost) Training-Free Access Control Aware Multi-Modal LLMs
Lara Magdalena Lazier, Aritra Dhar, Vasilije Stambolic, Lukas Cavigelli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training
Adel Nabli, Louis Fournier, Pierre ERBACHER, Louis Serrano, Eugene Belilovsky, Edouard Oyallon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking
Lequan Lin, Dai Shi, Andi Han, Feng Chen, Qiuzheng Chen, Jiawen Li, Zhaoyang Li, Jiyuan Zhang, Zhenbang Sun, Junbin Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning
Zeyuan Liu, Zhihe Yang, Jiawei Xu, Rui Yang, Jiafei Lyu, Baoxiang Wang, Yunjian Xu, Xiu Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources
Jason Wu, Yuyang Yuan, Kang Yang, Lance Kaplan, Mani Srivastava
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
Xincheng Yao, Yan Luo, Zefeng Qian, Chongyang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AF-UMC: An Alignment-Free Fusion Framework for Unaligned Multi-View Clustering
Bohang Sun, Yuena Lin, Tao Yang, Zhen Zhu, Zhen Yang, Gengyu Lyu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AI Debate Aids Assessment of Controversial Claims
Salman Rahman, Sheriff Issaka, Ashima Suvarna, Genglin Liu, James Shiffer, Jaeyoung Lee, Md Rizwan Parvez, Hamid Palangi, Shi Feng, Nanyun Peng, Yejin Choi, Julian Michael, Liwei Jiang, Saadia Gabriel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench
Edan Toledo, Karen Hambardzumyan, Martin Josifoski, Rishi Hazra, Nicolas Baldwin, Alexis Audran-Reiss, Michael Kuchnik, Despoina Magka, Minqi Jiang, Alisia Lupidi, Andrei Lupu, Roberta Raileanu, Tatiana Shavrina, Kelvin Niu, Jean-Christophe Gagnon-Audet, Michael Shvartsman, Shagun Sodhani, Alexander Miller, Abhishek Charnalia, Derek Dunfield, Carole-Jean Wu, Pontus Lars Erik Saito Stenetorp, Nicola Cancedda, Jakob Foerster, Yoram Bachrach
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
AI-Generated Video Detection via Perceptual Straightening
Christian Internò, Robert Geirhos, Markus Olhofer, Sunny Liu, Barbara Hammer, David Klindt
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AI-Researcher: Autonomous Scientific Innovation
Jiabin Tang, Lianghao Xia, Zhonghang Li, Chao Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AION-1: Omnimodal Foundation Model for Astronomical Sciences
Liam H. Parker, Francois Lanusse, Jeff Shen, Ollie Liu, Tom Hehir, Leopoldo Sarra, Lucas Meyer, Micah Bowles, Sebastian Wagner-Carena, Helen Qu, Siavash Golkar, Alberto Bietti, Hatim Bourfoune, Pierre Cornette, Keiya Hirashima, Geraud Krawezik, Ruben Ohana, Nicholas Lourie, Michael McCabe, Rudy Morel, Payel Mukhopadhyay, Mariel Pettee, Kyunghyun Cho, Miles Cranmer, Shirley Ho
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition
Daolang Huang, Xinyi Wen, Ayush Bharti, Samuel Kaski, Luigi Acerbi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio–Language Models
Weifei Jin, Yuxin Cao, Junjie Su, Minhui Xue, Jie Hao, Ke Xu, Jin Song Dong, Derui Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation
Xiaomeng Yang, LEI LU, Qihui Fan, Changdi Yang, Juyi Lin, Yanzhi Wang, Xuan Zhang, Shangqian Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ALTo: Adaptive-Length Tokenizer for Autoregressive Mask Generation
Lingfeng Wang, Hualing Lin, Senda Chen, Tao Wang, Changxu Cheng, Yangyang Zhong, Dong Zheng, Wuyue Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction
Niklas Freymuth, Tobias Würth, Nicolas Schreiber, Balázs Gyenes, Andreas Boltres, Johannes Mitsch, Aleksandar Taranovic, Tai Hoang, Philipp Dahlinger, Philipp Becker, Luise Kärger, Gerhard Neumann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation
Qingqiu Li, Zihang Cui, Seongsu Bae, Jilan Xu, Runtian Yuan, Yuejie Zhang, Rui Feng, Quanli Shen, Xiaobo Zhang, Shang Gao, Junjun He, Shujun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction
Sasan Sharifipour, Constantino Álvarez Casado, Mohammad Sabokrou, Miguel Bordallo Lopez
Machine Learning
日本大学: 沖縄科学技術大学院大学
2025 · NeurIPS
APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning
Azim Ospanov, Farzan Farnia, Roozbeh Mohit
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AR-RAG: Autoregressive Retrieval Augmentation for Image Generation
Jingyuan Qi, Zhiyang Xu, Qifan Wang, Lifu Huangg
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AREAL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning
Wei Fu, Jiaxuan Gao, Xujie Shen, Chen Zhu, Zhiyu Mei, Chuyi He, Shusheng Xu, Guo Wei, Jun Mei, Jiashu Wang, Tongkai Yang, Binhang Yuan, YI WU
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ARECHO: Autoregressive Evaluation via Chain-Based Hypothesis Optimization for Speech Multi-Metric Estimation
Jiatong Shi, Yifan Cheng, Bo-Hao Su, Hye-jin Shim, Jinchuan Tian, Samuele Cornell, Yiwen Zhao, Siddhant Arora, Shinji Watanabe
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ARGenSeg: Image Segmentation with Autoregressive Image Generation Model
Xiaolong Wang, Lixiang Ru, Ziyuan Huang, Kaixiang Ji, DanDan Zheng, Jingdong Chen, Jun Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ARIA: Training Language Agents with Intention-driven Reward Aggregation
Ruihan Yang, yikai zhang, Aili Chen, Xintao Wang, Jiangjie Chen, Siyu Yuan, Deqing Yang, Yanghua Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ARM: Adaptive Reasoning Model
Siye Wu, Jian Xie, yikai zhang, Aili Chen, Kai Zhang, Yu Su, Yanghua Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ARMesh: Autoregressive Mesh Generation via Next-Level-of-Detail Prediction
Jiabao Lei, Kewei Shi, Zhihao Liang, Kui Jia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ASDSV: Multimodal Generation Made Efficient with Approximate Speculative Diffusion and Speculative Verification
Kaijun Zhou, Xingyu Yan, Xingda Wei, Xijun Li, Jinyu Gu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ASGO: Adaptive Structured Gradient Optimization
Kang An, Yuxing Liu, Rui Pan, Yi Ren, Shiqian Ma, Donald Goldfarb, Tong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ATLAS: Autoformalizing Theorems through Lifting, Augmentation, and Synthesis of Data
Xiaoyang Liu, Kangjie Bao, Jiashuo Zhang, Yunqi Liu, Yu Chen, Yuntian Liu, Yang Jiao, Tao Luo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AVCD: Mitigating Hallucinations in Audio-Visual Large Language Models through Contrastive Decoding
Chaeyoung Jung, Youngjoon Jang, Joon Son Chung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Absolute Zero: Reinforced Self-play Reasoning with Zero Data
Andrew Zhao, Yiran Wu, Tong Wu, Quentin Xu, Yang Yue, Matthieu Lin, Shenzhi Wang, Qingyun Wu, Zilong Zheng, Gao Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models
Yuchen Liang, Renxiang Huang, Lifeng LAI, Ness Shroff, Yingbin Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency
Renzhao Liang, Sizhe Xu, Chenggang Xie, Jingru Chen, Feiyang Ren, Shu Yang, Takahiro Yabe
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Abstract Counterfactuals for Language Model Agents
Edoardo Pona, Milad Kazemi, Yali Du, David Watson, Nicola Paoletti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Abstract Rendering: Certified Rendering Under 3D Semantic Uncertainty
Chenxi Ji, Yangge Li, Xiangru Zhong, Huan Zhang, Sayan Mitra
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Accelerated Distance-adaptive Methods for Hölder Smooth and Convex Optimization
Yijin Ren, Haifeng Xu, Qi Deng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Accelerated Evolving Set Processes for Local PageRank Computation
Binbin Huang, Luo Luo, Yanghua Xiao, Deqing Yang, Baojian Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking
Heli Ben-Hamu, Itai Gat, Daniel Severo, Niklas S Nolte, Brian Karrer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Accelerated Vertical Federated Adversarial Learning through Decoupling Layer-Wise Dependencies
Tianxing Man, Yu Bai, Ganyu Wang, Jinjie Fang, Haoran Fang, Bin Gu, Yi Chang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Accelerating 3D Molecule Generative Models with Trajectory Diagnosis
Zhilong Zhang, Yuxuan Song, Yichun Wang, Jingjing Gong, Hanlin Wu, Dongzhan Zhou, Hao Zhou, Wei-Ying Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion
Qijun Luo, Yifei Shen, Liangzu Peng, Dongsheng Li, Xiao Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Accelerating Diffusion LLMs via Adaptive Parallel Decoding
Daniel Israel, Guy Van den Broeck, Aditya Grover
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Accelerating Feature Conformal Prediction via Taylor Approximation
Zihao Tang, Boyuan Wang, Chuan Wen, Jiaye Teng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Accelerating Model-Free Optimization via Averaging of Cost Samples
Guido Carnevale, Giuseppe Notarstefano
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings
Qiong Wu, Wenhao Lin, Yiyi Zhou, Weihao Ye, Zhanpeng Zeng, Xiaoshuai Sun, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Accelerating Optimization via Differentiable Stopping Time
Zhonglin Xie, Yiman Fong, Haoran Yuan, Zaiwen Wen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Accelerating Parallel Diffusion Model Serving with Residual Compression
Jiajun Luo, Yicheng Xiao, Jianru Xu, Yangxiu You, Rongwei Lu, Chen Tang, Jingyan Jiang, Zhi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Accelerating RL for LLM Reasoning with Optimal Advantage Regression
Kianté Brantley, Mingyu Chen, Zhaolin Gao, Jason D. Lee, Wen Sun, Wenhao Zhan, Xuezhou Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Accelerating Visual-Policy Learning through Parallel Differentiable Simulation
Haoxiang You, Yilang Liu, Ian Abraham
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Accelerating data-driven algorithm selection for combinatorial partitioning problems
Vaggos Chatziafratis, Ishani Karmarkar, Yingxi Li, Ellen Vitercik
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Acceleration via silver step-size on Riemannian manifolds with applications to Wasserstein space
Jiyoung Park, Abhishek Roy, Jonathan W. Siegel, Anirban Bhattacharya
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Accident Anticipation via Temporal Occurrence Prediction
Tianhao Zhao, Yiyang Zou, Zihao Mao, Peilun Xiao, Yulin Huang, Hongda Yang, Yuxuan Li, Tracy Li, Guobin Wu, Yutian Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AccuQuant: Simulating Multiple Denoising Steps for Quantizing Diffusion Models
Seunghoon Lee, Jeongwoo Choi, Byunggwan Son, JaeHyeon Moon, Jeimin Jeon, Bumsub Ham
Machine Learning
日本大学: 関与なし（対象大学）