NeurIPS

2022–2026 LIVE

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
Fixed-Point RNNs: Interpolating from Diagonal to Dense
Sajad Movahedi, Felix Sarnthein, Nicola Muca Cirone, Antonio Orvieto
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Flash Invariant Point Attention
Andrew Liu, Axel Elaldi, Nicholas Franklin, Nathan Russell, Gurinder S. Atwal, Yih-En Ban, Olivia Viessmann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FlashBias: Fast Computation of Attention with Bias
Haixu Wu, Minghao Guo, Yuezhou Ma, Yuanxu Sun, Jianmin Wang, Wojciech Matusik, Mingsheng Long
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FlashMD: long-stride, universal prediction of molecular dynamics
Filippo Bigi, Sanggyu Chong, Agustinus Kristiadi, Michele Ceriotti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FlashMo: Geometric Interpolants and Frequency-Aware Sparsity for Scalable Efficient Motion Generation
Zeyu Zhang, Yiran Wang, Danning Li, Dong Gong, Ian Reid, Richard Hartley
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FlashMoE: Fast Distributed MoE in a Single Kernel
Osayamen Aimuyo, Byungsoo Oh, Rachee Singh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Flat Channels to Infinity in Neural Loss Landscapes
Flavio Martinelli, Alexander van Meegen, Berfin Simsek, Wulfram Gerstner, Johanni Brea
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Flatness is Necessary, Neural Collapse is Not: Rethinking Generalization via Grokking
Ting Han, Linara Adilova, Henning Petzka, Jens Kleesiek, Michael Kamp
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Flatten Graphs as Sequences: Transformers are Scalable Graph Generators
Dexiong Chen, Markus Krimmel, Karsten Borgwardt
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Flattening Hierarchies with Policy Bootstrapping
John L. Zhou, Jonathan C. Kao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators
Jongwoo Ko, Sungnyun Kim, Sungwoo Cho, Se-Young Yun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FlexAC: Towards Flexible Control of Associative Reasoning in Multimodal Large Language Models
shengming yuan, Xinyu Lyu, Shuailong Wang, Beitao Chen, Jingkuan Song, Lianli Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FlexEvent: Towards Flexible Event-Frame Object Detection at Varying Operational Frequencies
Dongyue Lu, Lingdong Kong, Gim Hee Lee, Camille Simon Chane, Wei Ooi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FlexOLMo: Open Language Models for Flexible Data Use
Weijia Shi, Akshita Bhagia, Kevin Farhat, Niklas Muennighoff, Jacob Morrison, Evan Pete Walsh, Dustin Schwenk, Shayne Longpre, Jake Poznanski, Allyson Ettinger, Daogao Liu, Margaret Li, Mike Lewis, Scott Yih, Dirk Groeneveld, Luca Soldaini, Kyle Lo, Noah A. Smith, Luke Zettlemoyer, Pang Wei W Koh, Hanna Hajishirzi, Ali Farhadi, Sewon Min
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FlexSelect: Flexible Token Selection for Efficient Long Video Understanding
yunzhu zhang, Yu Lu, Tianyi Wang, Fengyun Rao, Yi Yang, Linchao Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction
Siyu Jiao, Gengwei Zhang, Yinlong Qian, Jiancheng Huang, Yao Zhao, Humphrey Shi, Lin Ma, Yunchao Wei, Zequn Jie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FlexWorld: Progressively Expanding 3D Scenes for Flexible-View Exploration
Luxi Chen, Zihan Zhou, Min Zhao, Yikai Wang, Ge Zhang, Wenhao Huang, Hao Sun, Ji-Rong Wen, Chongxuan LI
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows
Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu, Yizhe Zhang, Huangjie Zheng, Tianrong Chen, Miguel Angel Bautista, Joshua Susskind, Navdeep Jaitly
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Flexible MOF Generation with Torsion-Aware Flow Matching
Nayoung Kim, Seongsu Kim, Sungsoo Ahn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Flexible Realignment of Language Models
Wenhong Zhu, Ruobing Xie, Weinan Zhang, Rui Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Flexible inference for animal learning rules using neural networks
Yuhan Helena Liu, Victor Geadah, Jonathan Pillow
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Flick: Empowering Federated Learning with Commonsense Knowledge
Ran Zhu, Mingkun Yang, Shiqiang Wang, Jie Yang, Qing Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning
Riccardo De Santi, Marin Vlastelica, Ya-Ping Hsieh, Zebang Shen, Niao He, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Flow Equivariant Recurrent Neural Networks
Andy Keller
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Flow Field Reconstruction with Sensor Placement Policy Learning
Ruoyan Li, Frank Wan, Zijie Huang, Zixiao Liu, Haixin Wang, Xiao Luo, Wei Wang, Yizhou Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Flow Matching Neural Processes
Hussen Abu Hamad, Dan Rosenbaum
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling
Tianyi Tan, Yinan Zheng, Ruiming Liang, Zexu Wang, Kexin ZHENG, Jinliang Zheng, Jianxiong Li, Xianyuan Zhan, Jingjing Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises
Abdellah Rahmani, Pascal Frossard
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Flow-Based Policy for Online Reinforcement Learning
Lei Lyu, Yunfei Li, Yu Luo, Fuchun Sun, Tao Kong, Jiafeng Xu, Xiao Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Flow-GRPO: Training Flow Matching Models via Online RL
Jie Liu, Gongye Liu, Jiajun Liang, Yangguang Li, Jiaheng Liu, Xintao Wang, Pengfei Wan, Di ZHANG, Wanli Ouyang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models
Jintao Tong, Wenwei Jin, Pengda Qin, Anqi Li, Yixiong Zou, Yuhong Li, Yuhua Li, Ruixuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation
Siyi Chen, Yixuan Jia, Qing Qu, He Sun, Jeffrey A. Fessler
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FlowFeat: Pixel-Dense Embedding of Motion Profiles
Nikita Araslanov, Anna Sonnweber, Daniel Cremers
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting
Fares Mehouachi, Saif Eddin Jabari
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation
Ariel Shaulov, Itay Hazan, Lior Wolf, Hila Chefer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training
Yunqi Gao, Bing Hu, Boloursaz Mashhadi, A-Long Jin, Yanfeng Zhang, Pei Xiao, Rahim Tafazolli, Merouane DEBBAH
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation
Yutong Feng, Xu Liu, Yutong Xia, Yuxuan Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FlowPrune: Accelerating Attention Flow Calculation by Pruning Flow Network
Shuo Xu, Yu Chen, Shuxia Lin, Xin Geng, Xu Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FlowRefiner: A Robust Traffic Classification Framework against Label Noise
Mingwei Zhan, Ruijie Zhao, Xianwen Deng, Zhi Xue, Qi Li, Zhuotao Liu, Guang Cheng, Ke Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Flux4D: Flow-based Unsupervised 4D Reconstruction
Jingkang Wang, Henry Che, Yun Chen, Ze Yang, Lily Goli, Sivabalan Manivasagam, Raquel Urtasun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit Rank-Wise Mixture-of-Experts
Heming Zou, Yunliang Zang, Wutong Xu, Yao Zhu, Xiangyang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FoGE: Fock Space inspired encoding for graph prompting
Takis Chytas, Rudrasis Chakraborty, Vikas Singh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FocalCodec: Low-Bitrate Speech Coding via Focal Modulation Networks
Luca Della Libera, Francesco Paissan, Cem Subakan, Mirco Ravanelli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Focus-Then-Reuse: Fast Adaptation in Visual Perturbation Environments
Jiahui Wang, Chao Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
Louis Bethune, David Vigouroux, Yilun Du, Rufin VanRullen, Thomas Serre, Victor Boutin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Follow-the-Perturbed-Leader Nearly Achieves Best-of-Both-Worlds for the m-Set Semi-Bandit Problems
Jingxin Zhan, Yuchen Xin, Chenjie Sun, Zhihua Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
For Better or for Worse, Transformers Seek Patterns for Memorization
Madhur Panwar, Gail Weiss, Navin Goyal, Antoine Bosselut
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Force Prompting: Video Generation Models Can Learn And Generalize Physics-based Control Signals
Nate Gillman, Charles Herrmann, Michael Freeman, Daksh Aggarwal, Evan Luo, Deqing Sun, Chen Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ForceFM: Enhancing Protein-Ligand Predictions through Force-Guided Flow Matching
HUANLEI GUO, Song LIU, Bingyi Jing
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation
Jiawen Yu, Hairuo Liu, Qiaojun Yu, Jieji Ren, Ce Hao, Haitong Ding, Guangyu Huang, Guofan Huang, Yan Song, Panpan Cai, Wenqiang Zhang, Cewu Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Forecasting in Offline Reinforcement Learning for Non-stationary Environments
Suzan Ece Ada, Georg Martius, Emre Ugur, Erhan Oztop
Machine Learning
日本大学: 大阪大学
2025 · NeurIPS
Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation
Muhammad Adnan, Nithesh Kurella, Akhil Arunkumar, Prashant Nair
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection
Zhihao Sun, Haoran Jiang, Haoran Chen, Yixin Cao, Xipeng Qiu, Zuxuan Wu, Yu-Gang Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation
Cécile Rousseau, Tobia Boschi, Giandomenico Cornacchia, Dhaval Salwala, Alessandra Pascale, Juan Moreno
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Formal Models of Active Learning from Contrastive Examples
Farnam Mansouri, Hans Simon, Adish Singla, Yuxin Chen, Sandra Zilles
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Fortifying Time Series: DTW-Certified Robust Anomaly Detection
Shijie Liu, Tansu Alpcan, Christopher Leckie, Sarah Erfani
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Foundation Cures Personalization: Improving Personalized Models’ Prompt Consistency via Hidden Foundation Knowledge
Yiyang Cai, Zhengkai Jiang, Yulong Liu, Chunyang Jiang, Wei Xue, Yike Guo, Wenhan Luo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Foundations of Top-$k$ Decoding for Language Models
Georgy Noarov, Soham Mallick, Tao Wang, Sunay Joshi, Yan Sun, Yangxinyu Xie, Mengxin Yu, Edgar Dobriban
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning
Jiawei Gu, Yidi Wang, Qingqiang Sun, Xinming Li, Xiao Luo, Ziyue Qiao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Fourier Token Merging: Understanding and Capitalizing Frequency Domain for Efficient Image Generation
Jiesong Liu, Xipeng Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FraPPE: Fast and Efficient Preference-Based Pure Exploration
Udvas Das, Apurv Shukla, Debabrota Basu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FracFace: Breaking the Visual Clues—Fractal-Based Privacy-Preserving Face Recognition
Wanying Dai, Beibei Li, Naipeng Dong, Guangdong Bai, Jin Song Dong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Fractional Diffusion Bridge Models
Gabriel Nobis, Maximilian Springenberg, Arina Belova, Rembert Daems, Christoph Knochenhauer, Manfred Opper, Tolga Birdal, Wojciech Samek
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Fractional Langevin Dynamics for Combinatorial Optimization via Polynomial-Time Escape
Shiyue Wang, Ziao Guo, Changhong Lu, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Frame Context Packing and Drift Prevention in Next-Frame-Prediction Video Diffusion Models
Lvmin Zhang, Shengqu Cai, Muyang Li, Gordon Wetzstein, Maneesh Agrawala
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Frame In-N-Out: Unbounded Controllable Image-to-Video Generation
Boyang Wang, Xuweiyi Chen, Matheus Gadelha, Zezhou Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FrameShield: Adversarially Robust Video Anomaly Detection
Mojtaba Nafez, Mobina Poulaei, Nikan Vasei, Bardia moakhar, Mohammad Sabokrou, Mohammad Hossein Rohban
Machine Learning
日本大学: 沖縄科学技術大学院大学
2025 · NeurIPS
Free-Lunch Color-Texture Disentanglement for Stylized Image Generation
Jiang Qin, Alexandra Gomez-Villa, Senmao Li, Shiqi Yang, Yaxing Wang, Kai Wang, Joost van de Weijer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FreeControl: Efficient, Training-Free Structural Control via One-Step Attention Extraction
Jiang Lin, Xinyu Chen, Song Wu, Zhiqiu Zhang, Jizhi Zhang, Ye Wang, Qiang Tang, Qian Wang, Jian Yang, Zili Yi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FreeInv: Free Lunch for Improving DDIM Inversion
Yuxiang Bao, Huijie Liu, xun gao, Huan Fu, Guoliang Kang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FreqExit: Enabling Early-Exit Inference for Visual Autoregressive Models via Frequency-Aware Guidance
Ying Li, Chengfei Lyu, Huan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency
Yifei Su, Ning Liu, Dong Chen, Zhen Zhao, Kun Wu, Meng Li, Zhiyuan Xu, Zhengping Che, Jian Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens
Yiming Zhong, Yumeng Liu, Chuyang Xiao, Zemin Yang, Youzhuo Wang, Yufei Zhu, Ye Shi, Yujing Sun, Xinge ZHU, Yuexin Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Frequency-Aware Token Reduction for Efficient Vision Transformer
DongJae Lee, Jiwan Hur, Jaehyun Choi, Jaemyung Yu, Junmo Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Average-Iterate to Last-Iterate Convergence in Games: A Reduction and Its Applications
Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Black-box to Causal-box: Towards Building More Interpretable Models
Inwoo Hwang, Yushu Pan, Elias Bareinboim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Bytes to Ideas: Language Modeling with Autoregressive U-Nets
Mathurin VIDEAU, Badr Youbi Idrissi, Alessandro Leite, Marc Schoenauer, Olivier Teytaud, David Lopez-Paz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics
Zheng-An Chen, Tao Luo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Contextual Combinatorial Semi-Bandits to Bandit List Classification: Improved Sample Complexity with Sparse Rewards
Liad Erez, Tomer Koren
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks
Awa Khouna, Julien Ferry, Thibaut Vidal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging
Tao Liu, Dafeng Zhang, Gengchen Li, Shizhuo Liu, yongqi song, Senmao Li, Shiqi Yang, Boqian Li, Kai Wang, Yaxing Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Dormant to Deleted: Tamper-Resistant Unlearning Through Weight-Space Regularization
Shoaib Ahmed Siddiqui, Adrian Weller, David Krueger, Gintare Karolina Dziugaite, Michael C. Mozer, Eleni Triantafillou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Euler to AI: Unifying Formulas for Mathematical Constants
Tomer Raz, Michael Shalyt, Elyasheev Leibtag, Rotem Kalisch, Shachar Weinbaum, Yaron Hadad, Ido Kaminer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Experts to a Generalist: Toward General Whole-Body Control for Humanoid Robots
Yuxuan Wang, Ming Yang, Gang Ding, Yu Zhang, Weishuai Zeng, Xinrun Xu, Haobin Jiang, Zongqing Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures
Jens U. Brandt, Noah Christoph Pütz, Marcus Greiff, Thomas Lew, John Subosits, Marc Hilbert, Thomas Bartz-Beielstein
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Flat to Hierarchical: Extracting Sparse Representations with Matching Pursuit
Valérie Costa, Thomas Fel, Ekdeep S Lubana, Bahareh Tolooshams, Demba Ba
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction
Zhida Zhao, Talas Fu, Yifan Wang, Lijun Wang, Huchuan Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Human Attention to Diagnosis: Semantic Patch-Level Integration of Vision-Language Models in Medical Imaging
Dmitry Lvov, Ilya Pershin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Indicators to Insights: Diversity-Optimized for Medical Series-Text Decoding via LLMs
Xiyuan Jin, Jing Wang, Ziwei Lin, QIANRU JIA, Yuqing Huang, Xiaojun Ning, Zhonghua Shi, Youfang Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Information to Generative Exponent: Learning Rate Induces Phase Transitions in SGD
Konstantinos Tsiolis, Alireza Mousavi-Hosseini, Murat A Erdogdu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring
Yang Li, Qiang Sheng, Yehan Yang, Xueyao Zhang, Juan Cao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Kolmogorov to Cauchy: Shallow XNet Surpasses KANs
Xin Li, Xiaotao Zheng, Zhihong Xia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Likelihood to Fitness: Improving Variant Effect Prediction in Protein and Genome Language Models
Charles W J Pugh, Paulina G. Nuñez-Valencia, Mafalda Dias, Jonathan Frazer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Linear to Nonlinear: Provable Weak-to-Strong Generalization through Feature Learning
Junsoo Oh, Jerry Song, Chulhee Yun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers
Praneet Suresh, Jack Stanley, Sonia Joseph, Luca Scimeca, Danilo Bzdok
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Pixels to Views: Learning Angular-Aware and Physics-Consistent Representations for Light Field Microscopy
Feng He, Guodong Tan, Qiankun Li, Jun Yu, Quan Wen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Pose to Muscle: Multimodal Learning for Piano Hand Muscle Electromyography
RUOFAN LIU, YICHEN PENG, Takanori Oku, Chen-Chieh Liao, Erwin Wu, Shinichi Furuya, Hideki Koike
Machine Learning
日本大学: 東京科学大学 / 北陸先端科学技術大学院大学 / 芝浦工業大学
2025 · NeurIPS
From Pretraining to Pathology: How Noise Leads to Catastrophic Inheritance in Medical Models
HAO SUN, Zhongyi Han, Hao Chen, Jindong Wang, Xin Gao, Yilong Yin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Programs to Poses: Factored Real-World Scene Generation via Learned Program Libraries
Joy Hsu, Emily Jin, Jiajun Wu, Niloy Mitra
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review
Yaohui Zhang, Haijing ZHANG, Wenlong Ji, Tianyu Hua, Nick Haber, Hancheng Cao, Weixin Liang
Machine Learning
日本大学: 関与なし（対象大学）