NeurIPS

2021–2025 確定版

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
AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems
Yingxuan Yang, Huacan Chai, Shuai Shao, Yuanyi Song, Siyuan Qi, Renting Rui, Weinan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks
Fali Wang, Hui Liu, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Zongyu Wu, Chen Luo, Zhen Li, Xianfeng Tang, Qi He, Suhang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Agentic Plan Caching: Test-Time Memory for Fast and Cost-Efficient LLM Agents
Qizheng Zhang, Michael Wornow, Kunle Olukotun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Agentic RL Scaling Law: Spontaneous Code Execution for Mathematical Problem Solving
Xinji Mai, Haotian Xu, Xing W, Weinong Wang, Yingying Zhang, Wenqiang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Agents Robust to Distribution Shifts Learn Causal World Models Even Under Mediation
Matteo Ceriscioli, Karthika Mohan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations
Olawale Salaudeen, Haoran Zhang, Kumail Alhamoud, Sara Beery, Marzyeh Ghassemi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Agnostic Active Learning Is Always Better Than Passive Learning
Steve Hanneke
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Agnostic Continuous-Time Online Learning
Pramith Devulapalli, Changlong Wu, Ananth Grama, Wojciech Szpankowski
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness
Bogdan Chornomaz, Yonatan Koren, Shay Moran, Tom Waknine
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Aha! - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead
Aiden Chang, Celso de Melo, Stephanie Lukin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation
Xinbiao Wang, Yuxuan Du, Zihan Lou, Yang Qian, Kaining Zhang, Yong Luo, Bo Du, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models
Benjamin Dupuis, Dario Shariatian, Maxime Haddouche, Alain Durmus, Umut Simsekli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models
Ilias Diakonikolas, Giannis Iakovidis, Daniel Kane, Lisheng Ren
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AliO: Output Alignment Matters in Long-Term Time Series Forecasting
Kwangryeol Park, Jaeho Kim, Seulki Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Alias-Free ViT: Fractional Shift Invariance via Linear Attention
Hagay Michaeli, Daniel Soudry
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Amirmojtaba Sabour, Sanja Fidler, Karsten Kreis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences
Jing-An Sun, Hang Fan, Junchao Gong, Ben Fei, Kun Chen, Fenghua Ling, Wenlong Zhang, Wanghan Xu, Li Yan, Pierre Gentine, LEI BAI
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding
Ahmed Masry, Juan Rodriguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte Suresh, Abhay Puri, Xiangru Jian, Pierre-André Noël, Sathwik Tejaswi Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Chris Pal, Issam Hadj Laradji, David Vazquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar Mudumba
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AlignedGen: Aligning Style Across Generated Images
Jiexuan Zhang, Yiheng Du, Qian Wang, Weiqi Li, Yu Gu, Jian Jun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Aligning Compound AI Systems via System-level DPO
Xiangwen Wang, Yibo Jacky Zhang, Zhoujie Ding, Katherine Tsai, Haolun Wu, Sanmi Koyejo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs
Gerardo Flores, Alyssa H. Smith, Julia Fukuyama, Ashia C Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Aligning Text to Image in Diffusion Models is Easier Than You Think
Jaa-Yeon Lee, ByungHee Cha, Jeongsol Kim, Jong Chul Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Aligning Text-to-Image Diffusion Models to Human Preference by Classification
Longquan Dai, Xiaolu Wei, wang he, Shaomeng Wang, Jinhui Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Aligning Transformers with Continuous Feedback via Energy Rank Alignment
Shriram Chennakesavalu, Frank Hu, Sebastian Ibarraran, Grant M. Rotskoff
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Aligning What Matters: Masked Latent Adaptation for Text-to-Audio-Video Generation
Jiyang Zheng, Siqi Pan, Yu Yao, Zhaoqing Wang, Dadong Wang, Tongliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Aligning by Misaligning: Boundary-aware Curriculum Learning for Multimodal Alignment
Hua Ye, Hang Ding, Siyuan Chen, Yiyang Jiang, changyuan zhang, Xuan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Alignment of Large Language Models with Constrained Learning
Botong Zhang, Shuo Li, Ignacio Hounie, Osbert Bastani, Dongsheng Ding, Alejandro Ribeiro
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
All You Need is One: Capsule Prompt Tuning with a Single Vector
Yiyang Liu, James Liang, Heng Fan, Wenhao Yang, Yiming Cui, Xiaotian Han, Lifu Huangg, Dongfang Liu, Qifan Wang, Cheng Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Alleviating Hallucinations in Large Language Models through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection
Chenyu Zhu, Yefeng Liu, Hao Helen Zhang, Aowen Wang, Yangxue, Guanhua Chen, Longyue Wang, Weihua Luo, Kaifu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Alligat0R: Pre-Training through Covisibility Segmentation for Relative Camera Pose Regression
Thibaut Loiseau, Guillaume Bourmaud, Vincent Lepetit
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AlphaBeta is not as good as you think: a simple class of synthetic games for a better analysis of deterministic game-solving algorithms
Raphael Boige, Amine Boumaza, Bruno Scherrer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs
Di He, Songjun Tu, Ajay Jaiswal, Li Shen, Ganzhao Yuan, Shiwei Liu, Lu Yin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AlphaFold Database Debiasing for Robust Inverse Folding
Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Siyuan Li, Yufei Huang, Stan Z. Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AlphaZero Neural Scaling and Zipf's Law: a Tale of Board Games and Power Laws
Oren Neumann, Claudius Gros
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections
Xin Yu, Yujia Wang, Jinghui Chen, Lingzhou Xue
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks
Daniel Kunin, Giovanni Luca Marchetti, Feng Chen, Dhruva Karkada, James Simon, Michael R. Deweese, Surya Ganguli, Nina Miolane
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Ambient Diffusion Omni: Training Good Models with Bad Data
Giannis Daras, Adrian Rodriguez-Munoz, Adam Klivans, Antonio Torralba, Constantinos Daskalakis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Ambient Proteins - Training Diffusion Models on Noisy Structures
Giannis Daras, Jeffrey Ouyang-Zhang, Krithika Ravishankar, Constantinos Daskalakis, Adam Klivans, Daniel Diaz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Among Us: A Sandbox for Measuring and Detecting Agentic Deception
Satvik Golechha, Adrià Garriga-Alonso
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AmorLIP: Efficient Language-Image Pretraining via Amortization
Haotian Sun, Yitong Li, Yuchen Zhuang, Niao He, Hanjun Dai, Bo Dai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Amortized Active Generation of Pareto Sets
Daniel M Steinberg, Asiri Wijesinghe, Rafael Oliveira, Piotr Koniusz, Cheng Soon Ong, Edwin V. Bonilla
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Amortized Sampling with Transferable Normalizing Flows
Charlie B. Tan, Majdi Hassan, Leon Klein, Saifuddin Syed, Dominique Beaini, Michael Bronstein, Alexander Tong, Kirill Neklyudov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process
Tsai Hor Chan, Feng Wu, Yihang Chen, Guosheng Yin, Lequan Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
An Adaptive Algorithm for Bilevel Optimization on Riemannian Manifolds
Xu Shi, Rufeng Xiao, Rujun Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
An Adaptive Quantum Circuit of Dempster's Rule of Combination for Uncertain Pattern Classification
Fuyuan Xiao, Yu Zhou, Witold Pedrycz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation
Uzair Akbar, Niki Kilbertus, Hao Shen, Krikamol Muandet, Bo Dai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations
Seonghwan Park, Jueun Mun, Donghyun Oh, Namhoon Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models
Binxu Wang, Cengiz Pehlevan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
An Effective Levelling Paradigm for Unlabeled Scenarios
Fangming Cui, Zhou Yu, Di Yang, Yuqiang Ren, Liang Xiao, Xinmei Tian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks
Linus Aronsson, Morteza Haghir Chehreghani
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph
Tam Le, Truyen Nguyen, Hideitsu Hino, Kenji Fukumizu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
An Ellipsoid Algorithm for Online Convex Optimization
Zakaria Mhammedi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination
Sukanya Patra, Souhaib Ben Taieb
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction
Tim van Erven, Jack Mayo, Julia Olkhovskaya, Chen-Yu Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
An Information-theoretical Framework for Understanding Out-of-distribution Detection with Pretrained Vision-Language Models
Bo Peng, Jie Lu, Guangquan Zhang, Zhen Fang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
An Investigation of Memorization Risk in Healthcare Foundation Models
Sana Tonekaboni, Lena Stempfle, Adibvafa Fallahpour, Walter Gerych, Marzyeh Ghassemi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
An Iterative Algorithm for Differentially Private $k$-PCA with Adaptive Noise
Johanna Düngler, Amartya Sanyal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds
Siyu Chen, Theodor Misiakiewicz, Ilias Zadik, Peiyuan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection
Saleh Momeni, Changnan Xiao, Bing Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Analog Foundation Models
Julian Büchel, Iason Chalas, Giovanni Acampa, An Chen, Omobayode Fagbohungbe, Hsinyu Tsai, Kaoutar El Maghraoui, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions
Zhaoxian Wu, Quan Xiao, Tayfun Gokmen, Omobayode Fagbohungbe, Tianyi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Analogy-based Multi-Turn Jailbreak against Large Language Models
Mengjie Wu, Yihao Huang, Zhenjun Lin, Kangjie Chen, Yuyang zhang, Yuhan Huang, Run Wang, Lina Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
Jifeng Hu, Sili Huang, Zhejian Yang, Shengchao Hu, Li Shen, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models
Jiachen Jiang, Jinxin Zhou, Bo Peng, Xia Ning, Zhihui Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Analyzing Similarity Metrics for Data Selection for Language Model Pretraining
Dylan Sam, Ayan Chakrabarti, Afshin Rostamizadeh, Srikumar Ramalingam, Gui Citovsky, Sanjiv Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Analyzing the Power of Chain of Thought through Memorization Capabilities
Lijia Yu, Xiao-Shan Gao, Lijun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Anatomically inspired digital twins capture hierarchical object representations in visual cortex
Emanuele Luconi, Dario Liscai, Carlo Baldassi, Alessandro Marin Vargas, Alessandro Sanzeni
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Anchor-based Maximum Discrepancy for Relative Similarity Testing
Zhijian Zhou, Liuhua Peng, Xunye Tian, Feng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Anchored Diffusion Language Model
Litu Rout, Constantine Caramanis, Sanjay Shakkottai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches
Wenjun Ji, Yuxiang Fu, Luyang Ying, Deng-Ping Fan, Yuyi Wang, Ming-Ming Cheng, Ivor Tsang, Qing Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals
Qinsi Wang, Jinghan Ke, Hancheng Ye, Yueqian Lin, Yuzhe Fu, Jianyi Zhang, Kurt Keutzer, Chenfeng Xu, Yiran Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Angular Constraint Embedding via SpherePair Loss for Constrained Clustering
Shaojie Zhang, Ke Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Angular Steering: Behavior Control via Rotation in Activation Space
Minh Hieu Vu, Tan M. Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
AnimateQR: Bridging Aesthetics and Functionality in Dynamic QR Code Generation
Guangyang Wu, Huayu Zheng, Siqi Luo, Guangtao Zhai, Xiaohong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Anomaly Detection by an Ensemble of Random Pairs of Hyperspheres
Walid Durani, Collin Leiber, Khalid Durani, Claudia Plant, Christian Böhm
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Anti-Aliased 2D Gaussian Splatting
Mae Younes, Adnane Boukhayma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Antidistillation Sampling
Yash Savani, Asher Trockman, Zhili Feng, Yixuan Even Xu, Avi Schwarzschild, Alexander Robey, Marc Finzi, Zico Kolter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector
Haoyan Yang, Runxue Bao, Cao (Danica) Xiao, Jun Ma, Parminder Bhatia, Shangqian Gao, Taha Kass-Hout
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Any-stepsize Gradient Descent for Separable Data under Fenchel–Young Losses
Han Bao, Shinsaku Sakaue, Yuki Takezawa
Machine Learning
日本大学: 沖縄科学技術大学院大学
2025 · NeurIPS
Anytime-valid, Bayes-assisted, Prediction-Powered Inference
Valentin Kilian, Stefano Cortinovis, Francois Caron
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Approximate Domain Unlearning for Vision-Language Models
Kodai Kawamura, Yuta Goto, Rintaro Yanagi, Hirokatsu Kataoka, Go Irie
Machine Learning
日本大学: 東京理科大学
2025 · NeurIPS
Approximate Gradient Coding for Distributed Learning with Heterogeneous Stragglers
Heekang Song, Wan Choi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Approximately Aligned Decoding
Daniel Melcer, Sujan Kumar Gonugondla, Pramuditha Perera, Haifeng Qian, Wen-Hao Chiang, Yanjun Wang, Nihal Jain, Pranav Garg, Xiaofei Ma, Anoop Deoras
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Approximating Shapley Explanations in Reinforcement Learning
Daniel Beechey, Ozgur Simsek
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions
Guoji Fu, Wee Sun Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Approximation theory for 1-Lipschitz ResNets
Davide Murari, Takashi Furuya, Carola-Bibiane Schönlieb
Machine Learning
日本大学: 島根大学
2025 · NeurIPS
ArchCAD-400K: A Large-Scale CAD drawings Dataset and New Baseline for Panoptic Symbol Spotting
Ruifeng Luo, Zhengjie Liu, Tianxiao Cheng, Jie Wang, Tongjie Wang, Fei Cheng, Fu Chai, Yanpeng Li, Xingguang Wei, Haomin Wang, Shenglong Ye, Wenhai Wang, Zhang, Yu Qiao, Hongjie Zhang, Xianzhong Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Architectural and Inferential Inductive Biases for Exchangeable Sequence Modeling
Daksh Mittal, Ang Li, Thomson Yen, C. Guetta, Hongseok Namkoong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Are Greedy Task Orderings Better Than Random in Continual Linear Regression?
Matan Tsipory, Ran Levinstein, Itay Evron, Mark Kong, Deanna Needell, Daniel Soudry
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Are Language Models Efficient Reasoners? A Perspective from Logic Programming
Andreas Opedal, Yanick Zengaffinen, Haruki Shirakami, Clemente Pasti, Mrinmaya Sachan, Abulhair Saparov, Ryan Cotterell, Bernhard Schölkopf
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Are Large Language Models Sensitive to the Motives Behind Communication?
Addison J. Wu, Ryan Liu, Kerem Oktar, Ted Sumers, Tom Griffiths
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost
Runzhe Zhan, Zhihong Huang, Xinyi Yang, Lidia Chao, Min Yang, Derek F. Wong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Are Pixel-Wise Metrics Reliable for Computerized Tomography Reconstruction?
Tianyu Lin, Xinran Li, Chuntung Zhuang, Qi Chen, Yuanhao Cai, Kai Ding, Alan L. Yuille, Zongwei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Ascent Fails to Forget
Ioannis Mavrothalassitis, Pol Puigdemont, Noam Levi, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Ask a Strong LLM Judge when Your Reward Model is Uncertain
Zhenghao Xu, Qin Lu, Qingru Zhang, Liang Qiu, Ilgee Hong, Changlong Yu, Wenlin Yao, Yao Liu, Haoming Jiang, Lihong Li, Hyokun Yun, Tuo Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Assessing the quality of denoising diffusion models in Wasserstein distance: noisy score and optimal bounds
Vahan Arsenyan, Elen Vardanyan, Arnak Dalalyan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Assignments for Congestion-Averse Agents: Seeking Competitive and Envy-Free Solutions
Jiehua Chen, Jiong Guo, Yinghui Wen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Association-Focused Path Aggregation for Graph Fraud Detection
Tian Qiu, Wenda Li, Zunlei Feng, Jie Lei, Tao Wang, Yi Gao, Mingli Song, Yang Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning
Remco Leijenaar, Hamidreza Kasaei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Asymmetric Dual-Lens Video Deblurring
Zeyu Xiao, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）