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
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models
Julius Vetter, Manuel Gloeckler, Daniel Gedon, Jakob H Macke
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data
Ryan Punamiya, Dhruv Patel, Patcharapong Aphiwetsa, Pranav Kuppili, Lawrence Zhu, Simar Kareer, Judy Hoffman, Danfei Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
EgoDTM: Towards 3D-Aware Egocentric Video-Language Pretraining
Boshen Xu, Yuting Mei, liu xinbi, Sipeng Zheng, Qin Jin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
EgoThinker: Unveiling Egocentric Reasoning with Spatio-Temporal CoT
Baoqi Pei, Yifei Huang, Jilan Xu, Yuping He, Guo Chen, Fei Wu, Jiangmiao Pang, Yu Qiao
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
Elastic Robust Unlearning of Specific Knowledge in Large Language Models
Yize Sui, Jing Ren, Wenjing Yang, Ruochun Jin, Liyang Xu, Xiyao Liu, J Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Elastic ViTs from Pretrained Models without Retraining
Walter Simoncini, Michael Dorkenwald, Tijmen Blankevoort, Cees G. M. Snoek, Yuki Asano
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism
Zedong Liu, Shenggan Cheng, Guangming Tan, Yang You, Dingwen Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation
Jitesh Jain, Zhengyuan Yang, Humphrey Shi, Jianfeng Gao, Jianwei Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Eliciting Reasoning in Language Models with Cognitive Tools
Brown Wilfried Ebouky Doualla Dina, Andrea Bartezzaghi, Mattia Rigotti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets
Bohdan Turbal, Iryna Voitsitska, Lesia Semenova
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics
Salva Rühling Cachay, Miika Aittala, Karsten Kreis, Noah Brenowitz, Arash Vahdat, Morteza Mardani, Rose Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Eluder dimension: localise it!
Alireza Bakhtiari, Alex Ayoub, Samuel Robertson, David Janz, Csaba Szepesvari
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Embedding Principle of Homogeneous Neural Network for Classification Problem
Jiahan Zhang, Yaoyu Zhang, Tao Luo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Embeddings as Probabilistic Equivalence in Logic Programs
Jaron Maene, Efthymia Tsamoura
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Embodied Cognition Augmented End2End Autonomous Driving
Ling Niu, Xiaoji Zheng, han wang, Ziyuan Yang, Chen Zheng, Bokui Chen, Jiangtao Gong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Embodied Crowd Counting
Runling Long, Yunlong Wang, Jia Wan, Xiang Deng, Xinting Zhu, Weili Guan, Antoni B. Chan, Liqiang Nie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Emergence and Evolution of Interpretable Concepts in Diffusion Models
Berk Tinaz, Zalan Fabian, Mahdi Soltanolkotabi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Emergence and scaling laws in SGD learning of shallow neural networks
Yunwei Ren, Eshaan Nichani, Denny Wu, Jason D. Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Emergence of Linear Truth Encodings in Language Models
Shauli Ravfogel, Gilad Yehudai, Tal Linzen, Joan Bruna, Alberto Bietti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Emergent Risk Awareness in Rational Agents under Resource Constraints
Daniel Jarne Ornia, Nicholas Bishop, Joel Dyer, Wei-Chen Lee, Anisoara Calinescu, Doyne Farmer, Michael Wooldridge
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Emergent Temporal Correspondences from Video Diffusion Transformers
Jisu Nam, Soowon Son, Dahyun Chung, Jiyoung Kim, Siyoon Jin, Junhwa Hur, Seungryong Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
Simin Li, Zihao Mao, Hanxiao Li, Zonglei Jing, Zhuohang bian, Jun Guo, Li Wang, Zhuoran Han, Ruixiao Xu, Xin Yu, Chengdong Ma, Yuqing Ma, Bo An, Yaodong Yang, Weifeng Lv, Xianglong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Empower Words: DualGround for Structured Phrase and Sentence-Level Temporal Grounding
Minseok Kang, Minhyeok Lee, Minjung Kim, Donghyeong Kim, Sangyoun Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Empowering Decision Trees via Shape Function Branching
Nakul Upadhya, Eldan Cohen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
EnCompass: Enhancing Agent Programming with Search Over Program Execution Paths
Zhening Li, Armando Solar-Lezama, Yisong Yue, Stephan Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers, and Gradient Clipping
Martin Pelikan, Shams Azam, Vitaly Feldman, Jan Silovsky, Kunal Talwar, Christopher Brinton, Tatiana Likhomanenko
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer
Zechuan Zhang, Ji Xie, Yu Lu, Zongxin Yang, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Encoder-Decoder Diffusion Language Models for Efficient Training and Inference
Marianne Arriola, Yair Schiff, Hao Phung, Aaron Gokaslan, Volodymyr Kuleshov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Encouraging metric-aware diversity in contrastive representation space
Tianxu Li, Kun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
End-to-End Low-Light Enhancement for Object Detection with Learned Metadata from RAWs
Xuelin Shen, Haifeng Jiao, Yitong Wang, Yulin HE, Wenhan Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
End-to-End Vision Tokenizer Tuning
Wenxuan Wang, Fan Zhang, Yufeng Cui, Haiwen Diao, Zhuoyan Luo, Huchuan Lu, Jing Liu, Xinlong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation
Siyuan Huang, Liliang Chen, Pengfei Zhou, Shengcong Chen, Yue Liao, Zhengkai Jiang, Yue Hu, Peng Gao, Hongsheng Li, Maoqing Yao, Guanghui Ren
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Energy Landscape-Aware Vision Transformers: Layerwise Dynamics and Adaptive Task-Specific Training via Hopfield States
Runze Xia, Richard Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Energy Loss Functions for Physical Systems
Oumar Kaba, Kusha Sareen, Daniel Levy, Siamak Ravanbakhsh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
Michal Balcerak, Tamaz Amiranashvili, Antonio Terpin, Suprosanna Shit, Lea Bogensperger, Sebastian Kaltenbach, Petros Koumoutsakos, Bjoern Menze
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Energy-based generator matching: A neural sampler for general state space
Dongyeop Woo, Minsu Kim, Minkyu Kim, Kiyoung Seong, Sungsoo Ahn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules
Gonzalo E. Constante, Hao Chen, Can Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enforcing convex constraints in Graph Neural Networks
Ahmed Rashwan, Keith Briggs, Chris Budd, Lisa Kreusser
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models
Yixiao Wang, Zishan Shao, Ting Jiang, Aditya Devarakonda
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhanced Expert Merging for Mixture-of-Experts in Graph Foundation Models
Lei Liu, Xingyu Xia, Qianqian Xie, Ben Liu, Wenjie Xu, Min Peng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training
Xiaochen Zhao, Chengting Yu, Kairong Yu, Lei Liu, Aili Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing 3D Reconstruction for Dynamic Scenes
Jisang Han, Honggyu An, Jaewoo Jung, Takuya Narihira, Junyoung Seo, Kazumi Fukuda, Chaehyun Kim, Sunghwan Hong, Yuki Mitsufuji, Seungryong Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Bioactivity Prediction via Spatial Emptiness Representation of Protein-ligand Complex and Union of Multiple Pockets
Zhiyuan Zhou, Yueming Yin, Yiming Yang, Yuguang Mu, Hoi-Yeung Li, Adams Wai Kin Kong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing CLIP Robustness via Cross-Modality Alignment
Xingyu Zhu, Beier Zhu, Shuo Wang, Kesen Zhao, Hanwang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions
Jihoon Kwon, Kyle Min, Jy-yong Sohn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Consistency of Flow-Based Image Editing through Kalman Control
Haozhe Chi, Zhicheng Sun, Yang Jin, Yi Ma, Jing Wang, Yadong Mu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Contrastive Learning with Variable Similarity
Haowen Cui, Shuo Chen, Jun Li, Jian Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Deep Batch Active Learning for Regression with Imperfect Data Guided Selection
Yinjie Min, Furong Xu, Xinyao Li, Changliang Zou, Yongdao Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
Kaixun Jiang, Zhaoyu Chen, HaiJing Guo, Jinglun Li, Jiyuan Fu, Pinxue Guo, Hao Tang, Bo Li, Wenqiang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing GUI Agent with Uncertainty-Aware Self-Trained Evaluator
Gongwei Chen, Lirong Jie, Lexiao Zou, Weili Guan, Miao Zhang, Liqiang Nie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Graph Classification Robustness with Singular Pooling
Sofiane Ennadir, Oleg Smirnov, Yassine ABBAHADDOU, Lele Cao, Johannes F. Lutzeyer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Infrared Vision: Progressive Prompt Fusion Network and Benchmark
Jinyuan Liu, Zihang Chen, Zhu Liu, Zhiying Jiang, Long Ma, Xin Fan, Risheng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Interpretability in Deep Reinforcement Learning through Semantic Clustering
Liang Zhang, Justin Lieffers, Adarsh Pyarelal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing LLM Planning for Robotics Manipulation through Hierarchical Procedural Knowledge Graphs
Jiacong Zhou, Jiaxu Miao, xianyun wang, Jun Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing LLM Watermark Resilience Against Both Scrubbing and Spoofing Attacks
Huanming Shen, Baizhou Huang, Xiaojun Wan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size
Rustem Islamov, Niccolò Ajroldi, Antonio Orvieto, Aurelien Lucchi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward
Yanming Wan, Jiaxing Wu, Marwa Abdulhai, Lior Shani, Natasha Jaques
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Privacy in Multimodal Federated Learning with Information Theory
Tianzhe Xiao, Yichen Li, Yining Qi, YI LIU, wangshi.ww, Haozhao Wang, Yi Wang, Ruixuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization
Xiyue Peng, Hengquan Guo, Jiawei Zhang, Dongqing Zou, Ziyu Shao, Honghao Wei, Xin Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples
Suqin Yuan, Lei Feng, Bo Han, Tongliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Tactile-based Reinforcement Learning for Robotic Control
Elle Miller, Trevor McInroe, David Abel, Oisin Mac Aodha, Sethu Vijayakumar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Temporal Understanding in Video-LLMs through Stacked Temporal Attention in Vision Encoders
Leibniz University Hannover L3S Research Center Ali Rasekh, Erfan Soula, Omid Daliran, Simon Gottschalk, Mohsen Fayyaz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning
Yu Zhang, Jialei Zhou, Xinchen Li, Qi Zhang, Zhongwei Wan, Duoqian Miao, Changwei Wang, Longbing Cao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective
Xingjian Wu, Xiangfei Qiu, Hanyin Cheng, Zhengyu Li, Jilin Hu, Chenjuan Guo, Bin Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Training Data Attribution with Representational Optimization
Weiwei Sun, Haokun Liu, Nikhil Kandpal, Colin A Raffel, Yiming Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Vision-Language Model Reliability with Uncertainty-Guided Dropout Decoding
Yixiong Fang, Ziran Yang, Zhaorun Chen, Zhuokai Zhao, Jiawei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Visual Prompting through Expanded Transformation Space and Overfitting Mitigation
Shohei Enomoto
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing Zero-Shot Black-Box Optimization via Pretrained Models with Efficient Population Modeling, Interaction, and Stable Gradient Approximation
Muqi Han, Xiaobin Li, Kai Wu, Xiaoyu Zhang, Handing Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting
Jiahui Zhang, Zhengyang Zhou, Wenjie Du, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling
Jiahao Wang, Weiye Xu, Aijun Yang, Wengang Zhou, Lewei Lu, Houqiang Li, Xiaohua Wang, Jinguo Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles
Jiangjie Chen, Qianyu He, Siyu Yuan, Aili Chen, Zhicheng Cai, Weinan Dai, Hongli Yu, Jiaze Chen, Xuefeng Li, Qiying Yu, Hao Zhou, Mingxuan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Entropic Time Schedulers for Generative Diffusion Models
Dejan Stancevic, Florian Handke, Luca Ambrogioni
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Entropy Rectifying Guidance for Diffusion and Flow Models
Tariq Berrada, Adriana Romero-Soriano, Michal Drozdzal, Jakob J. Verbeek, Karteek Alahari
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Entropy-Calibrated Label Distribution Learning
Yunan Lu, Bowen Xue, Xiuyi Jia, Lei Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Environment Inference for Learning Generalizable Dynamical System
Shixuan Liu, Yue He, Haotian Wang, Wenjing Yang, Yunfei Wang, Peng Cui, Zhong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation
Chao Song, ZHIYUAN LIU, Han Huang, Liang Wang, Qiong Wang, Jian-Yu Shi, Hui Yu, Yihang Zhou, Yang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Epistemic Uncertainty Estimation in Regression Ensemble Models with Pairwise Epistemic Estimators
Lucas Berry, David Meger
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Epistemic Uncertainty for Generated Image Detection
Jun Nie, Yonggang Zhang, Tongliang Liu, Yiu-ming Cheung, Bo Han, Xinmei Tian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Equi-mRNA: Protein Translation Equivariant Encoding for mRNA Language Models
Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, Ozlem Ozmen Garibay
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Network
Michael Arbel, David Salinas, Frank Hutter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games
Runyu Lu, Peng Zhang, Ruochuan Shi, Yuanheng Zhu, Dongbin Zhao, Yang Liu, Dong Wang, Cesare Alippi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models
Ben Finkelshtein, Ismail Ilkan Ceylan, Michael Bronstein, Ron Levie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions
Tobias Schmidt, Steffen Schneider, Matthias Bethge
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces
Alejandro García-Castellanos, David R. Wessels, Nicky J. van den Berg, Remco Duits, Daniel M. Pelt, Erik Bekkers
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment
Naga Sai Abhiram Kusumba, Maitreya Patel, Kyle Min, Changhoon Kim, Chitta Baral, Yezhou Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Erasing Conceptual Knowledge from Language Models
Rohit Gandikota, Sheridan Feucht, Samuel Marks, David Bau
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism
Mete Erdogan, Cengiz Pehlevan, Alper Erdogan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Error Feedback under $(L_0,L_1)$-Smoothness: Normalization and Momentum
SARIT KHIRIRAT, Abdurakhmon Sadiev, Artem Riabinin, Eduard Gorbunov, Peter Richtarik
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Error Forcing in Recurrent Neural Networks
A Sağtekin, Colin Bredenberg, Cristina Savin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space
Chuanchao Zang, Xiangtao Meng, Wenyu Chen, Tianshuo Cong, Zha Yaxing, Dong Qi, Zheng Li, Shanqing Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Escaping Collapse: The Strength of Weak Data for Large Language Model Training
Kareem Amin, Sara Babakniya, Alex Bie, Weiwei Kong, Umar Syed, Sergei Vassilvitskii
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Escaping saddle points without Lipschitz smoothness: the power of nonlinear preconditioning
Alexander Bodard, Panagiotis Patrinos
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel–Young Losses
Yuzhou Cao, Han Bao, Lei Feng, Bo An
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Estimating Hitting Times Locally at Scale
Themistoklis Haris, Fabian Spaeh, Spyridon Konstantinos Dragazis, Charalampos Tsourakakis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning
Anish Dhir, Cristiana Diaconu, Valentinian Lungu, James Requeima, Richard E Turner, Mark van der Wilk
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Estimating Model Performance Under Covariate Shift Without Labels
Jakub Białek, Juhani Kivimäki, Wojciech Kuberski, Nikolaos Perrakis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Estimating cognitive biases with attention-aware inverse planning
Sounak Banerjee, Daphne Cornelisse, Deepak Gopinath, Emily Sumner, Jonathan DeCastro, Guy Rosman, Eugene Vinitsky, Mark K Ho
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Estimation of Stochastic Optimal Transport Maps
Sloan Nietert, Ziv Goldfeld
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Estimation of Treatment Effects in Extreme and Unobserved Data
Jiyuan Tan, Vasilis Syrgkanis, Jose Blanchet
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Eulerian Neural Network Informed by Chemical Transport for Air Quality Forecasting
Xukai Zhang, Shuliang Wang, Guangyin Jin, Ziqiang Yuan, Hanning Yuan, Sijie Ruan
Machine Learning
日本大学: 関与なし（対象大学）