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
T2V-OptJail: Discrete Prompt Optimization for Text-to-Video Jailbreak Attacks
Jiayang Liu, Siyuan Liang, Shiqian Zhao, Rong-Cheng Tu, Wenbo Zhou, Aishan Liu, Dacheng Tao, Siew Kei Lam
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TADA: Improved Diffusion Sampling with Training-free Augmented DynAmics
Tianrong Chen, Huangjie Zheng, David Berthelot, Jiatao Gu, Joshua Susskind, Shuangfei Zhai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TAI3: Testing Agent Integrity in Interpreting User Intent
Shiwei Feng, Xiangzhe Xu, Xuan Chen, Kaiyuan Zhang, Syed Ahmed, Zian Su, Mingwei Zheng, Xiangyu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction
Zhongyi Yu, Jianqiu Wu, Zhenghao Wu, Shuhan Zhong, Weifeng Su, Chul-Ho Lee, Weipeng Zhuo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TANDEM: Bi-Level Data Mixture Optimization with Twin Networks
Jiaxing Wang, Deping Xiang, Jin Xu, Mingyang Yi, Guoqiang Gong, Zicheng Zhang, Haoran Li, Pengzhang Liu, Zhen Chen, Ke Zhang, Ju Fan, Qixia Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TAPIP3D: Tracking Any Point in Persistent 3D Geometry
Bowei Zhang, Lei Ke, Adam Harley, Katerina Fragkiadaki
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAE
Jiawen Wei, jiang lan, Pengbo Wei, Ziwen Ye, Teng Song, Chen Chen, Guangrui Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TC-Light: Temporally Coherent Generative Rendering for Realistic World Transfer
Yang Liu, Chuanchen Luo, Zimo Tang, Yingyan Li, yuran Yang, Yuanyong Ning, Lue Fan, Junran Peng, ZHAO-XIANG ZHANG
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TEMPO: Temporal Multi-scale Autoregressive Generation of Protein Conformational Ensembles
Yaoyao Xu, Di Wang, Zihan Zhou, Tianshu Yu, Mingchen Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TF-MAS: Training-free Mamba2 Architecture Search
Yi Fan, Yu-Bin Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TGA: True-to-Geometry Avatar Dynamic Reconstruction
Bo Guo, Sijia Wen, Ziwei Wang, Yifan Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
THD-BAR: Topology Hierarchical Derived Brain Autoregressive Modeling for EEG Generic Representations
Wenchao Yang, Weidong Yan, Wenkang Liu, Yulan Ma, Yang Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TITAN: A Trajectory-Informed Technique for Adaptive Parameter Freezing in Large-Scale VQE
Yifeng Peng, Xinyi Li, Samuel Yen-Chi Chen, Kaining Zhang, Zhiding Liang, Ying Wang, Yuxuan Du
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TOMCAT: Test-time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning
Xudong Yan, Songhe Feng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TP-MDDN: Task-Preferenced Multi-Demand-Driven Navigation with Autonomous Decision-Making
Shanshan Li, Da Huang, Yu He, Yanwei Fu, Yu-Gang Jiang, Xiangyang Xue
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding
Shukai Gong, YIYANG FU, Fengyuan Ran, Quyu Kong, Feng Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TRACE: Contrastive learning for multi-trial time series data in neuroscience
Lisa Schmors, Dominic Gonschorek, Jan Niklas Böhm, Yongrong Qiu, Na Zhou, Dmitry Kobak, Andreas S. Tolias, Fabian H. Sinz, Jacob Reimer, Katrin Franke, Sebastian Damrich, Philipp Berens
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval
Jialin Chen, Ziyu Zhao, Gaukhar Nurbek, Aosong Feng, Ali Maatouk, Leandros Tassiulas, Yifeng Gao, Rex Ying
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TRAP: Targeted Redirecting of Agentic Preferences
Hangoo Kang, Jehyeok Yeon, Gagandeep Singh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception
Runjian Chen, Hyoungseob Park, Bo Zhang, Wenqi Shao, Ping Luo, Alex Wong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence
Feng Jiang, Mangal Prakash, Hehuan Ma, Jianyuan Deng, Yuzhi Guo, Maolaaisha Aminanmu, Tommaso Mansi, Rui Liao, Junzhou Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TRIM: Scalable 3D Gaussian Diffusion Inference with Temporal and Spatial Trimming
Zeyuan Yin, Xiaoming Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses
Sahar Dastani, Ali Bahri, Gustavo Vargas Hakim, Moslem Yazdanpanah, Mehrdad Noori, David OSOWIECHI, Samuel Barbeau, Ismail Ayed, Herve Lombaert, Christian Desrosiers
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TRiCo: Triadic Game-Theoretic Co-Training for Robust Semi-Supervised Learning
Hongyang He, Xinyuan Song, Yangfan He, Zeyu Zhang, Yanshu Li, Haochen You, Lifan Sun, Wenqiao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models
Maya Varma, Jean-Benoit Delbrouck, Sophie Ostmeier, Akshay Chaudhari, Curtis Langlotz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition
Zhe Zhao, Zhiheng Gong, Pengkun Wang, HaiBin Wen, Cankun Guo, Bo Xue, Xi Lin, Zhenkun Wang, Qingfu Zhang, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
Kanghui Ning, Zijie Pan, Yu Liu, Yushan Jiang, James Zhang, Kashif Rasul, Anderson Schneider, Lintao Ma, Yuriy Nevmyvaka, Dongjin Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks
Xiang Meng, Mehdi Makni, Rahul Mazumder
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TTRL: Test-Time Reinforcement Learning
Yuxin Zuo, Kaiyan Zhang, Li Sheng, Shang Qu, Ganqu Cui, Xuekai Zhu, Haozhan Li, yuchen zhang, Xinwei Long, Ermo Hua, Biqing Qi, Youbang Sun, Zhiyuan Ma, Lifan Yuan, Ning Ding, Bowen Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TTS-VAR: A Test-Time Scaling Framework for Visual Auto-Regressive Generation
Zhekai Chen, Ruihang Chu, Yukang Chen, Shiwei Zhang, Yujie Wei, Yingya Zhang, Xihui Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation
Yehjin Shin, Jeongwhan Choi, Seojin Kim, Noseong Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TaDiCodec: Text-aware Diffusion Speech Tokenizer for Speech Language Modeling
Yuancheng Wang, Dekun Chen, Xueyao Zhang, Junan Zhang, Jiaqi Li, Zhizheng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TabDPT: Scaling Tabular Foundation Models on Real Data
Junwei Ma, Valentin Thomas, Rasa Hosseinzadeh, Alex Labach, Jesse C. Cresswell, Keyvan Golestan, Guangwei Yu, Anthony L Caterini, Maks Volkovs
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields
Alan Arazi, Eilam Shapira, Roi Reichart
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Table as a Modality for Large Language Models
Liyao Li, Chao Ye, Wentao Ye, Yifei Sun, Zhe Jiang, Haobo Wang, Jiaming Tian, Yiming Zhang, NINGTAO WANG, Xing Fu, Gang Chen, Junbo Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Table2LaTeX-RL: High-Fidelity LaTeX Code Generation from Table Images via Reinforced Multimodal Language Models
Jun Ling, Yao Qi, Tao Huang, Shibo Zhou, Yanqin Huang, Jiang Yang, Ziqi Song, Ying Zhou, Yang Yang, Hengtao Shen, Peng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Tabula: A Tabular Self-Supervised Foundation Model for Single-Cell Transcriptomics
Jiayuan Ding, Jianhui Lin, Shiyu Jiang, Yixin Wang, Ziyang Miao, Zhaoyu Fang, Jiliang Tang, Min Li, Xiaojie Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulation
Yuyang Li, Wenxin Du, Chang Yu, Puhao Li, Zihang Zhao, Tengyu Liu, Chenfanfu Jiang, Yixin Zhu, Siyuan Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Tackling Biased Evaluators in Dueling Bandits
Ming Tang, Yuxuan Zhou, Chao Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Tackling Continual Offline RL through Selective Weights Activation on Aligned Spaces
Jifeng Hu, Sili Huang, Li Shen, Zhejian Yang, Shengchao Hu, Shisong Tang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation
Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Mingjia Shi, Shaojie Tang, Jing Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Tail-Optimized Caching for LLM Inference
Wenxin Zhang, Yueying Li, Ciamac C Moallemi, Tianyi Peng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras
Lingdong Kong, Dongyue Lu, Alan Liang, Rong Li, Yuhao Dong, Tianshuai Hu, Lai Xing Ng, Wei Ooi, Benoit Cottereau
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Taming Adversarial Constraints in CMDPs
Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Taming Hyperparameter Sensitivity in Data Attribution: Practical Selection Without Costly Retraining
Weiyi Wang, Junwei Deng, Yuzheng Hu, Shiyuan Zhang, Xirui Jiang, Runting Zhang, Han Zhao, Jiaqi Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Taming generative video models for zero-shot optical flow extraction
Seungwoo Kim, Khai Loong Aw, Klemen Kotar, Cristobal Eyzaguirre, Wanhee Lee, Yunong Liu, Jared Watrous, Stefan Stojanov, Juan Carlos Niebles, Jiajun Wu, Daniel L Yamins
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Tapered Off-Policy REINFORCE - Stable and efficient reinforcement learning for large language models
Nicolas Le Roux, Marc Bellemare, Jonathan Lebensold, Arnaud Bergeron, Joshua Greaves, Alexandre Fréchette, Carolyne Pelletier, Eric Thibodeau-Laufer, Sándor Tóth, Sam Work
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments
Shitong Xu, Yiyuan Yang, Niki Trigoni, Andrew Markham
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Targeted Maximum Likelihood Learning: An Optimization Perspective
Diyang Li, Kyra Gan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Task-Optimized Convolutional Recurrent Networks Align with Tactile Processing in the Rodent Brain
Trinity Chung, Yuchen Shen, Nathan Kong, Aran Nayebi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations
Da Ma, Gonghu Shang, Zhi Chen, Libo Qin, Yijie LUO, Hongshen Xu, Lei Pan, Shuai Fan, Kai Yu, Lu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Taught Well Learned Ill: Towards Distillation-conditional Backdoor Attack
Yukun Chen, Boheng Li, Yu Yuan, Leyi Qi, Yiming Li, Tianwei Zhang, Zhan Qin, Kui Ren
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Taxonomy of reduction matrices for Graph Coarsening
Antonin Joly, Nicolas Keriven, Aline Roumy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignment
Weixiang Zhao, Xingyu Sui, Yulin Hu, Jiahe Guo, Haixiao Liu, Biye Li, Yanyan Zhao, Bing Qin, Ting Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Teaching Language Models to Reason with Tools
Chengpeng Li, Zhengyang Tang, Ziniu Li, Mingfeng Xue, Keqin Bao, Tian Ding, Ruoyu Sun, Benyou Wang, Xiang Wang, Junyang Lin, Dayiheng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Teaching Transformers to Solve Combinatorial Problems through Efficient Trial & Error
Panagiotis Giannoulis, Yorgos Pantis, Christos Tzamos
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context
Taejong Joo, Diego Klabjan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMs
Yunheng Li, Jing Cheng, Shaoyong Jia, Hangyi Kuang, Shaohui Jiao, Qibin Hou, Ming-Ming Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Temperature is All You Need for Generalization in Langevin Dynamics and other Markov Processes
Itamar Harel, Yonathan Wolanowsky, Gal Vardi, Nati Srebro, Daniel Soudry
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Template-Guided 3D Molecular Pose Generation via Flow Matching and Differentiable Optimization
Noémie Bergues, Arthur Carré, Paul Join-Lambert, Brice Hoffmann, Arnaud Blondel, Hamza Tajmouati
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames
Anurag Arnab, Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Temporal In‑Context Fine‑Tuning with Temporal Reasoning for Versatile Control of Video Diffusion Models
Kinam Kim, Junha Hyung, Jaegul Choo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-to-end Autonomous Driving
Xuan Chen, Shiwei Feng, Zikang Xiong, Shengwei An, Yunshu Mao, Lu Yan, Guanhong Tao, Wenbo Guo, Xiangyu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following
Vivek Myers, Bill Zheng, Anca Dragan, Kuan Fang, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Temporal Smoothness-Aware Rate-Distortion Optimized 4D Gaussian Splatting
Hyeongmin Lee, Kyungjune Baek
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Temporal-Difference Variational Continual Learning
Luckeciano Carvalho Melo, Alessandro Abate, Yarin Gal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Tensor Decomposition Networks for Fast Machine Learning Interatomic Potential Computations
Yuchao Lin, Cong Fu, Zachary Krueger, Haiyang Yu, Maho Nakata, Jianwen Xie, Emine Kucukbenli, Xiaofeng Qian, Shuiwang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Tensor Product Attention Is All You Need
Yifan Zhang, Yifeng Liu, Huizhuo Yuan, Zhen Qin, Yang Yuan, Quanquan Gu, Andrew Yao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Tensor-Parallelism with Partially Synchronized Activations
Itay Lamprecht, Asaf Karnieli, Yair Hanani, Niv Giladi, Daniel Soudry
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search
Akash Kundu, Stefano Mangini
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Test Time Scaling for Neural Processes
Hyungi Lee, Moonseok Choi, Hyunsu Kim, Kyunghyun Cho, Rajesh Ranganath, Juho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Test-Time Adaptation by Causal Trimming
Yingnan Liu, Rui Qiao, Mong-Li Lee, Wynne Hsu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation
Mehrdad Noori, David OSOWIECHI, Gustavo Vargas Hakim, Ali Bahri, Moslem Yazdanpanah, Sahar Dastani, Farzad Beizaee, Ismail Ayed, Christian Desrosiers
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Test-Time Adaptive Object Detection with Foundation Model
Yingjie Gao, Yanan Zhang, Zhi Cai, Di Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Test-Time Scaling of Diffusion Models via Noise Trajectory Search
Vignav Ramesh, Morteza Mardani
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Test-Time Spectrum-Aware Latent Steering for Zero-Shot Generalization in Vision-Language Models
Konstantinos Dafnis, Dimitris Metaxas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Test3R: Learning to Reconstruct 3D at Test Time
Yuheng Yuan, Qiuhong Shen, Shizun Wang, Xingyi Yang, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Text to Sketch Generation with Multi-Styles
Tengjie Li, Shikui Tu, Lei Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders
Qiming Hu, Linlong Fan, Yiyan Luo, Yuhang Yu, Xiaojie Guo, Qingnan Fan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Text-to-Code Generation for Modular Building Layouts in Building Information Modeling
YINYI WEI, Xiao LI
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Text-to-Decision Agent: Offline Meta-Reinforcement Learning from Natural Language Supervision
Shilin Zhang, Zican Hu, Wenhao Wu, Xinyi Xie, Jianxiang Tang, Chunlin Chen, Daoyi Dong, Yu Cheng, Zhenhong Sun, Zhi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
The $\varphi$ Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control
Yichen Wang, Yudong Chen, Lorenzo Rosasco, Fanghui Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
The Adaptive Complexity of Minimizing Relative Fisher Information
Huanjian Zhou, Masashi Sugiyama
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation
Patrick Kahardipraja, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
The Best Instruction-Tuning Data are Those That Fit
Dylan Zhang, Qirun Dai, Hao Peng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
The Bias-Variance Tradeoff in Data-Driven Optimization: A Local Misspecification Perspective
Haixiang Lan, Luofeng Liao, Adam N. Elmachtoub, Christian Kroer, Henry Lam, Haofeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective
Thai-Hoang Pham, Jiayuan Chen, Seungyeon Lee, Yuanlong Wang, Sayoko Moroi, Xueru Zhang, Ping Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
The Burden of Interactive Alignment with Inconsistent Preferences
Ali Shirali
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
The Complexity of Correlated Equilibria in Generalized Games
Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Gabriele Farina
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
The Complexity of Finding Local Optima in Contrastive Learning
Jingming Yan, Yiyuan Luo, Vaggos Chatziafratis, Ioannis Panageas, Parnian Shahkar, Stelios Stavroulakis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
The Complexity of Symmetric Equilibria in Min-Max Optimization and Team Zero-Sum Games
Ioannis Anagnostides, Ioannis Panageas, Tuomas Sandholm, Jingming Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
The Computational Advantage of Depth in Learning High-Dimensional Hierarchical Targets
Yatin Dandi, Luca Pesce, Lenka Zdeborová, Florent Krzakala
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
The Computational Complexity of Counting Linear Regions in ReLU Neural Networks
Moritz Stargalla, Christoph Hertrich, Daniel Reichman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
The Cost of Compression: Tight Quadratic Black-Box Attacks on Sketches for $\ell_2$ Norm Estimation
Sara Ahmadian, Edith Cohen, Uri Stemmer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
The Cost of Robustness: Tighter Bounds on Parameter Complexity for Robust Memorization in ReLU Nets
Yujun Kim, Chaewon Moon, Chulhee Yun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
The Curse of Depth in Large Language Models
Wenfang Sun, Xinyuan Song, Pengxiang Li, Lu Yin, Yefeng Zheng, Shiwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
The Dual Nature of Plasticity Loss in Deep Continual Learning: Dissection and Mitigation
Haoyu Wang, Wei Dai, Jiawei Zhang, Jialun Ma, Mingyi Huang, Yuguo Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model
Kaito Takanami, Takashi Takahashi, Ayaka Sakata
Machine Learning
日本大学: 東京科学大学 / 東京大学
2025 · NeurIPS
The Emergence of Abstract Thought in Large Language Models Beyond Any Language
Yuxin Chen, Yiran Zhao, Yang Zhang, An Zhang, Kenji Kawaguchi, Shafiq Joty, Junnan Li, Tat-Seng Chua, Michael Qizhe Shieh, Wenxuan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models
Ke Ji, Jiahao Xu, Tian Liang, Qiuzhi Liu, Zhiwei He, Xiaoyuan Liu, Xingyu Chen, Junying Chen, Benyou Wang, Zhaopeng Tu, Haitao Mi, Dong Yu
Machine Learning
日本大学: 関与なし（対象大学）