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
When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs
Xiaomin Li, Zhou Yu, Zhiwei Zhang, Xupeng Chen, Ziji Zhang, Yingying Zhuang, Narayanan Sadagopan, Anurag Beniwal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
When Worse is Better: Navigating the Compression Generation Trade-off In Visual Tokenization
Vivek Ramanujan, Kushal Tirumala, Armen Aghajanyan, Luke Zettlemoyer, Ali Farhadi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
When and How Unlabeled Data Provably Improve In-Context Learning
Yingcong Li, Xiangyu Chang, Muti Kara, Xiaofeng Liu, Amit K. Roy-Chowdhury, Samet Oymak
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
When and how can inexact generative models still sample from the data manifold?
Nisha Chandramoorthy, Adriaan de Clercq
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
When majority rules, minority loses: bias amplification of gradient descent
François Bachoc, Jerome Bolte, Ryan Boustany, Jean-Michel Loubes
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Where Does It Exist from the Low-Altitude: Spatial Aerial Video Grounding
Yang Zhan, Yuan Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Where Graph Meets Heterogeneity: Multi-View Collaborative Graph Experts
Zhihao Wu, Jinyu Cai, Yunhe Zhang, Jielong Lu, Zhaoliang Chen, Shuman Zhuang, Haishuai Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow Models
Donghoon Ahn, Jiwon Kang, Sanghyun Lee, Minjae Kim, Wooseok Jang, Jaewon Min, Sangwu Lee, Sayak Paul, Seungryong Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Which Algorithms Have Tight Generalization Bounds?
Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas Weinberger
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions
Siqi Kou, Qingyuan Tian, Hanwen Xu, Zihao Zeng, Zhijie Deng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems
Jeffrey Alido, Tongyu Li, Yu Sun, Lei Tian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Who Reasons in the Large Language Models?
Jie Shao, Jianxin Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Who Speaks for the Trigger? Dynamic Expert Routing in Backdoored Mixture-of-Experts Transformers
Xin Zhao, Xiaojun Chen, Bingshan Liu, Haoyu Gao, Zhendong Zhao, Yilong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation
Qing Yu, Xiaobei Wang, Shuchang Liu, yandong.bai, Xiaoyu Yang, Xueliang Wang, Chang Meng, Shanshan Wu, HailanYang, Bin Wen, Huihui Xiao, Xiang Li, Fan Yang, Xiaoqiang Feng, Lantao Hu, Han Li, Kun Gai, Lixin Zou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Whole-Body Conditioned Egocentric Video Prediction
Yutong Bai, Danny Tran, Amir Bar, Yann LeCun, Trevor Darrell, Jitendra Malik
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Whose Instructions Count? Resolving Preference Bias in Instruction Fine-Tuning
Jiayu Zhang, Changbang Li, Yinan Peng, Weihao Luo, Peilai Yu, Xuan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering
Yangfu Li, Hongjian Zhan, Tianyi Chen, Qi Liu, Yu-Jie Xiong, Yue Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Why Diffusion Models Don’t Memorize: The Role of Implicit Dynamical Regularization in Training
Tony Bonnaire, Raphaël Urfin, Giulio Biroli, Marc Mezard
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Why Do Some Language Models Fake Alignment While Others Don't?
Abhay Sheshadri, John Hughes, Julian Michael, Alex Mallen, Arun Jose, Fabien Roger
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Why Knowledge Distillation Works in Generative Models: A Minimal Working Explanation
Sungmin Cha, Kyunghyun Cho
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion
Alan Amin, Nate Gruver, Andrew Gordon Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Why Playing Against Diverse and Challenging Opponents Speeds Up Coevolution: A Theoretical Analysis on Combinatorial Games
Alistair Benford, Per Kristian Lehre
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Why Popular MOEAs Are Popular: Proven Advantages in Approximating the Pareto Front
Mingfeng Li, Qiang Zhang, Weijie Zheng, Benjamin Doerr
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations
Yiyou Sun, Yu Gai, Lijie Chen, Abhilasha Ravichander, Yejin Choi, Nouha Dziri, Dawn Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Wide-Horizon Thinking and Simulation-Based Evaluation for Real-World LLM Planning with Multifaceted Constraints
Dongjie Yang, Chengqiang Lu, Qimeng Wang, Xinbei Ma, Yan Gao, Yao Hu, Hai Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search
Yuichi Inoue, Kou Misaki, Yuki Imajuku, So Kuroki, Taishi Nakamura, Takuya Akiba
Machine Learning
日本大学: 東京科学大学
2025 · NeurIPS
WildCAT3D: Appearance-Aware Multi-View Diffusion in the Wild
Morris Alper, David Novotny, Filippos Kokkinos, Hadar Averbuch-Elor, Tom Monnier
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs
Hao Kang, Qingru Zhang, Han Cai, Weiyuan Xu, Tushar Krishna, Yilun Du, Tsachy Weissman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Wisdom is Knowing What not to Say: Hallucination-Free LLMs Unlearning via Attention Shifting
Chenchen Tan, Youyang Qu, Xinghao Li, Hui Zhang, Shujie Cui, Cunjian Chen, Longxiang Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You
Fabian Gröger, Shuo Wen, Huyen Le, Maria Brbic
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration
Yiyuan Pan, Zhe Liu, Hesheng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Word-Level Emotional Expression Control in Zero-Shot Text-to-Speech Synthesis
Tianrui Wang, Haoyu Wang, Meng Ge, Cheng Gong, Chunyu Qiang, Ziyang Ma, Zikang Huang, Guanrou Yang, Xiaobao Wang, Eng-Siong Chng, Xie Chen, Longbiao Wang, Jianwu Dang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
World Models as Reference Trajectories for Rapid Motor Adaptation
Carlos Stein Brito, Daniel McNamee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
World-aware Planning Narratives Enhance Large Vision-Language Model Planner
Junhao Shi, Zhaoye Fei, Siyin Wang, Qipeng Guo, Jingjing Gong, Xipeng Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
WorldMem: Long-term Consistent World Simulation with Memory
Zeqi Xiao, Yushi LAN, Yifan Zhou, Wenqi Ouyang, Shuai Yang, Yanhong Zeng, Xingang Pan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception
Zhiheng Liu, Xueqing Deng, Shoufa Chen, Angtian Wang, Qiushan Guo, Mingfei Han, Zeyue Xue, Mengzhao Chen, Ping Luo, Linjie Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Wukong's 72 Transformations: High-fidelity Textured 3D Morphing via Flow Models
Minghao Yin, Yukang Cao, Kai Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
X-Field: A Physically Informed Representation for 3D X-ray Reconstruction
Feiran Wang, Jiachen Tao, Junyi Wu, Haoxuan Wang, Bin Duan, Kai Wang, Zongxin Yang, Yan Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
X-Mahalanobis: Transformer Feature Mixing for Reliable OOD Detection
Tong Wei, Bolin Wang, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
X-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability
Yu Yang, Alan Liang, Jianbiao Mei, Yukai Ma, Yong Liu, Gim Hee Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
X2-DFD: A framework for explainable and extendable Deepfake Detection
Yize Chen, Zhiyuan Yan, Guangliang Cheng, Kangran Zhao, Siwei Lyu, Baoyuan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation
Bowen Chen, Brynn zhao, Haomiao Sun, Li Chen, Xu Wang, Daniel Du, Xinglong Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
YEAST: Yet Another Sequential Test
Alexey Kurennoy, Majed Dodin, Tural Gurbanov, Ana Peleteiro Ramallo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
YOLOv12: Attention-Centric Real-Time Object Detectors
Yunjie Tian, Qixiang Ye, DAVID DOERMANN
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Yggdrasil: Bridging Dynamic Speculation and Static Runtime for Latency-Optimal Tree-Based LLM Decoding
Yue Guan, Changming Yu, Shihan Fang, Weiming Hu, Zaifeng Pan, Zheng Wang, Zihan Liu, Yangjie Zhou, Yufei Ding, Minyi Guo, Jingwen Leng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering
Hanyang Li, Yuheng Jia, Hui LIU, Junhui Hou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
You Only Communicate Once: One-shot Federated Low-Rank Adaptation of MLLM
Binqian Xu, Haiyang Mei, Zechen Bai, Jinjin Gong, Rui Yan, Guosen Xie, Yazhou Yao, Basura Fernando, Xiangbo Shu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
You Only Spectralize Once: Taking a Spectral Detour to Accelerate Graph Neural Network
Yi Li, Zhichun Guo, Guanpeng Li, Bingzhe Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Your Pre-trained LLM is Secretly an Unsupervised Confidence Calibrator
Beier Luo, Shuoyuan Wang, Sharon Li, Hongxin Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ZEBRA: Towards Zero-Shot Cross-Subject Generalization for Universal Brain Visual Decoding
Haonan Wang, Jingyu Lu, Hongrui Li, Xiaomeng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data
Patryk Marszałek, Tomasz Kuśmierczyk, Witold Wydmański, Jacek Tabor, Marek Śmieja
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ZPressor: Bottleneck-Aware Compression for Scalable Feed-Forward 3DGS
Weijie Wang, Donny Y. Chen, Zeyu Zhang, Duochao Shi, Akide Liu, Bohan Zhuang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ZeCO: Zero-Communication Overhead Sequence Parallelism for Linear Attention
Yuhong CHOU, Zehao Liu, Rui-Jie Zhu, Xinyi Wan, Tianjian Li, Congying Chu, Qian Liu, Jibin Wu, Zejun MA
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Zebra-Llama: Towards Extremely Efficient Hybrid Models
Mingyu Yang, Mehdi Rezagholizadeh, Guihong Li, Vikram Appia, Emad Barsoum
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Zero-Shot Blind-Spot Image Denoising via Cross-Scale Non-Local Pixel Refilling
Qilong Guo, Tianjing Zhang, Zhiyuan Ma, Hui Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts
James Chapman, Kedar Karhadkar, Guido F. Montufar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Zero-Shot Detection of LLM-Generated Text via Implicit Reward Model
Runheng Liu, Heyan Huang, Xingchen Xiao, Zhijing Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Zero-Shot Performance Prediction for Probabilistic Scaling Laws
Viktoria Schram, Markus Hiller, Daniel Beck, Trevor Cohn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks
Ruijia Liu, Ancheng Hou, Xiao Yu, Xiang Yin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework
Ali Zafari, Xi Chen, Shirin Jalali
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Zero-shot World Models via Search in Memory
Federico Malato, Ville Hautamäki
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Zero-shot protein stability prediction by inverse folding models: a free energy interpretation
Jes Frellsen, Maher Kassem, Tone Bengtsen, Lars Olsen, Kresten Lindorff-Larsen, Jesper Ferkinghoff-Borg, Wouter Boomsma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ZeroPatcher: Training-free Sampler for Video Inpainting and Editing
Shaoshu Yang, Yingya Zhang, Ran He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ZeroS: Zero‑Sum Linear Attention for Efficient Transformers
Jiecheng Lu, Xu Han, Yan Sun, Viresh Pati, Yubin Kim, Siddhartha Somani, Shihao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ZeroSep: Separate Anything in Audio with Zero Training
Chao Huang, Yuesheng Ma, Junxuan Huang, Susan Liang, Yunlong Tang, Jing Bi, Wenqiang Liu, Nima Mesgarani, Chenliang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Zeroth-Order Optimization Finds Flat Minima
Liang Zhang, Bingcong Li, Kiran K Thekumparampil, Sewoong Oh, Michael Muehlebach, Niao He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ZigzagPointMamba: Spatial-Semantic Mamba for Point Cloud Understanding
LinshuangDiao, Sensen Song, Yurong Qian, Dayong Ren
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs
Xudong Li, Mengdan Zhang, Peixian Chen, Xiawu Zheng, Yan Zhang, Jingyuan Zheng, Yunhang Shen, Ke Li, Chaoyou Fu, Xing Sun, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
$\varepsilon$-Optimally Solving Two-Player Zero-Sum POSGs
Erwan escudie, Matthia Sabatelli, Olivier Buffet, Jilles Dibangoye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
Siyan Zhao, Devaansh Gupta, Qinqing Zheng, Aditya Grover
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
dKV-Cache: The Cache for Diffusion Language Models
Xinyin Ma, Runpeng Yu, Gongfan Fang, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning
Manyi Yao, Bingbing Zhuang, Sparsh Garg, Amit K. Roy-Chowdhury, Christian R. Shelton, Manmohan Chandraker, Abhishek Aich
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
macOSWorld: A Multilingual Interactive Benchmark for GUI Agents
Pei Yang, Hai Ci, Mike Zheng Shou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
metaTextGrad: Automatically optimizing language model optimizers
Guowei Xu, Mert Yuksekgonul, Carlos Guestrin, James Y Zou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward
Azim Ospanov, Farzan Farnia, Roozbeh Mohit
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
msf-CNN: Patch-based Multi-Stage Fusion with Convolutional Neural Networks for TinyML
Zhaolan Huang, Emmanuel Baccelli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
pLSTM: parallelizable Linear Source Transition Mark networks
Korbinian Pöppel, Richard Freinschlag, Thomas Schmied, Wei Lin, Sepp Hochreiter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset
Yifei Liu, Li Lyna Zhang, Yi Zhu, Bingcheng Dong, Xudong Zhou, Ning Shang, Fan Yang, Cheng Li, Mao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
scMRDR: A scalable and flexible framework for unpaired single-cell multi-omics data integration
Jianle Sun, Chaoqi Liang, Ran Wei, Peng Zheng, LEI BAI, Wanli Ouyang, Hongliang Yan, Peng Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery
Yiming Gao, Zhen Wang, Jefferson Chen, Mark Antkowiak, Mengzhou Hu, JungHo Kong, Dexter Pratt, Jieyuan Liu, Enze Ma, Zhiting Hu, Eric P Xing
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
scSplit: Bringing Severity Cognizance to Image Decomposition in Fluorescence Microscopy
Ashesh Ashesh, Florian Jug
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
Hafez Ghaemi, Eilif B. Muller, Shahab Bakhtiari
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP
Yinqi Li, Jiahe Zhao, Hong Chang, RuiBing Hou, Shiguang Shan, Xilin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
Maurice Kraus, Felix Divo, Devendra Singh Dhami, Kristian Kersting
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
zip2zip: Inference-Time Adaptive Tokenization via Online Compression
Saibo Geng, Nathan Ranchin, Yunzhen Yao, Maxime Peyrard, Chris Wendler, Michael Gastpar, Robert West
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
🎧MOSPA: Human Motion Generation Driven by Spatial Audio
Shuyang Xu, Zhiyang Dou, Mingyi Shi, Liang Pan, Leo Ho, Jingbo Wang, Yuan Liu, Cheng Lin, Yuexin Ma, Wenping Wang, Taku Komura
Machine Learning
日本大学: 関与なし（対象大学）