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2022–2026 LIVE

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Machine Learning

2025 · 3,703 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 · ICLR
$F^3Set$: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos
Zhaoyu Liu, Kan Jiang, Murong Ma, Zhe Hou, Yun Lin, Jin Song Dong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
$InterLCM$: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration
Senmao Li, Kai Wang, Joost van de Weijer, Fahad Khan, Chun-Le Guo, Shiqi Yang, Yaxing Wang, jian Yang, Ming-Ming Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
$R^2$-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning
Mintong Kang, Bo Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
$\gamma-$MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models
Yaxin Luo, Gen Luo, Jiayi Ji, Yiyi Zhou, Xiaoshuai Sun, Zhiqiang Shen, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
Vlad Sobal, Mark Ibrahim, Randall Balestriero, Vivien Cabannes, Diane Bouchacourt, Pietro Astolfi, Kyunghyun Cho, Yann LeCun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
$\phi$-Update: A Class of Policy Update Methods with Policy Convergence Guarantee
Wenye Li, Jiacai Liu, Ke Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
$\sigma$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples
Antonio Emanuele Cinà, Francesco Villani, Maura Pintor, Lea Schönherr, Battista Biggio, Marcello Pelillo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
$\text{D}_{2}\text{O}$: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models
Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Longyue Wang, Mi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
$\text{I}^2\text{AM}$: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
Junseo Park, Hyeryung Jang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
$q$-exponential family for policy optimization
Lingwei Zhu, Haseeb Shah, Han Wang, Yukie Nagai, Martha White
Machine Learning
日本大学: 東京大学
2025 · ICLR
(Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning
Margaret Li, Sneha Kudugunta, Luke Zettlemoyer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
3D StreetUnveiler with Semantic-aware 2DGS - a simple baseline
Jingwei Xu, Yikai Wang, Yiqun Zhao, Yanwei Fu, Shenghua Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
3D Vision-Language Gaussian Splatting
Qucheng Peng, Benjamin Planche, Zhongpai Gao, Meng Zheng, Anwesa Choudhuri, Terrence Chen, Chen Chen, Ziyan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds
Hengshuo Chu, Xiang Deng, Qi Lv, Xiaoyang Chen, Yinchuan Li, Jianye HAO, Liqiang Nie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling
Qizhi Pei, Rui Yan, Kaiyuan Gao, Jinhua Zhu, Lijun Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
3D-Properties: Identifying Challenges in DPO and Charting a Path Forward
Yuzi Yan, Yibo Miao, Jialian Li, YipinZhang, Jian Xie, Zhijie Deng, Dong Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
3D-SPATIAL MULTIMODAL MEMORY
Xueyan Zou, Yuchen Song, Ri-Zhao Qiu, Xuanbin Peng, Jianglong Ye, Sifei Liu, Xiaolong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
3DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing
Jiahua Dong, Yu-Xiong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
3DIS: Depth-Driven Decoupled Image Synthesis for Universal Multi-Instance Generation
Dewei Zhou, Ji Xie, Zongxin Yang, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery
Xiuyuan Hu, Guoqing Liu, Can Chen, Yang Zhao, Hao Zhang, Xue Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
3DTrajMaster: Mastering 3D Trajectory for Multi-Entity Motion in Video Generation
Xiao Fu, Xian Liu, Xintao WANG, Sida Peng, Menghan Xia, Xiaoyu Shi, Ziyang Yuan, Pengfei Wan, Di ZHANG, Dahua Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
3DitScene: Editing Any Scene via Language-guided Disentangled Gaussian Splatting
Qihang Zhang, Yinghao Xu, Chaoyang Wang, Hsin-Ying Lee, Gordon Wetzstein, Bolei Zhou, Ceyuan Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
4K4DGen: Panoramic 4D Generation at 4K Resolution
Renjie Li, Panwang Pan, Bangbang Yang, Dejia Xu, Shijie Zhou, zhang xuanyang, Zeming Li, Achuta Kadambi, Zhangyang Wang, Zhengzhong Tu, Zhiwen Fan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
6D Object Pose Tracking in Internet Videos for Robotic Manipulation
Georgy Ponimatkin, Martin Cífka, Tomas Soucek, Médéric Fourmy, Yann Labbé, Vladimir Petrik, Josef Sivic
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
6DGS: Enhanced Direction-Aware Gaussian Splatting for Volumetric Rendering
Zhongpai Gao, Benjamin Planche, Meng Zheng, Anwesa Choudhuri, Terrence Chen, Ziyan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Benchmark for Semantic Sensitive Information in LLMs Outputs
Qingjie Zhang, Han Qiu, Di Wang, Yiming Li, Tianwei Zhang, Wenyu Zhu, Haiqin Weng, Liu Yan, Chao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Black Swan Hypothesis: The Role of Human Irrationality in AI Safety
Hyunin Lee, Chanwoo Park, David Abel, Ming Jin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A CLIP-Powered Framework for Robust and Generalizable Data Selection
Suorong Yang, Peng Ye, Wanli Ouyang, Dongzhan Zhou, Furao Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Causal Lens for Learning Long-term Fair Policies
Jacob Lear, Lu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Closer Look at Machine Unlearning for Large Language Models
Xiaojian Yuan, Tianyu Pang, Chao Du, Kejiang Chen, Weiming Zhang, Min Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Coefficient Makes SVRG Effective
Yida Yin, Zhiqiu Xu, Zhiyuan Li, trevor darrell, Zhuang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement
Hui Yuan, Yifan Zeng, Yue Wu, Huazheng Wang, Mengdi Wang, Liu Leqi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Computational Framework for Modeling Emergence of Color Vision in the Human Brain
Atsunobu Kotani, Yi-Ren Ng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Conditional Independence Test in the Presence of Discretization
Boyang Sun, Yu Yao, Guang-Yuan Hao, Qiu, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Decade's Battle on Dataset Bias: Are We There Yet?
Zhuang Liu, Kaiming He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization
Aron Brenner, Rahman Khorramfar, Jennifer Sun, Saurabh Amin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Differentiable Rank-Based Objective for Better Feature Learning
Krunoslav Lehman Pavasovic, Giulio Biroli, Levent Sagun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations
Sheng Xu, Bo Yue, Hongyuan Zha, Guiliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Formal Framework for Understanding Length Generalization in Transformers
Xinting Huang, Andy Yang, Satwik Bhattamishra, Yash Sarrof, Andreas Krebs, Hattie Zhou, Preetum Nakkiran, Michael Hahn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A General Framework for Off-Policy Learning with Partially-Observed Reward
Rikiya Takehi, Masahiro Asami, Kosuke Kawakami, Yuta Saito
Machine Learning
日本大学: 東京科学大学 / 早稲田大学
2025 · ICLR
A General Framework for Producing Interpretable Semantic Text Embeddings
Yiqun Sun, Qiang Huang, Yixuan Tang, Anthony Tung, Jun Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Generalist Hanabi Agent
Arjun V Sudhakar, Hadi Nekoei, Mathieu Reymond, Miao Liu, Janarthanan Rajendran, Sarath Chandar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Generic Framework for Conformal Fairness
Aditya Vadlamani, Anutam Srinivasan, Pranav Maneriker, Ali Payani, srinivasan parthasarathy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Geometric Framework for Understanding Memorization in Generative Models
Brendan Ross, Hamidreza Kamkari, Tongzi Wu, Rasa Hosseinzadeh, Zhaoyan Liu, George Stein, Jesse Cresswell, Gabriel Loaiza-Ganem
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
Yinqi Bai, Jie Wang, Lei Chen, Zhihai Wang, Yufei Kuang, Mingxuan Yuan, Jianye HAO, Feng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation
Can Rong, Jingtao Ding, Yan Liu, Yong Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Large-scale Training Paradigm for Graph Generative Models
Yu Wang, Ryan Rossi, Namyong Park, Huiyuan Chen, Nesreen Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts
Suyu Ge, Xihui Lin, Yunan Zhang, Jiawei Han, Hao Peng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Meta-Learning Approach to Bayesian Causal Discovery
Anish Dhir, Matthew Ashman, James Requeima, Mark van der Wilk
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules
Kairong Luo, Haodong Wen, Shengding Hu, Zhenbo Sun, Maosong Sun, Zhiyuan Liu, Kaifeng Lyu, Wenguang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Multiscale Frequency Domain Causal Framework for Enhanced Pathological Analysis
Xiaoyu Cui, Weixing Chen, Jiandong Su
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A New Perspective on Shampoo's Preconditioner
Depen Morwani, Itai Shapira, Nikhil Vyas, Eran Malach, Sham Kakade, Lucas Janson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation
Huimin Zeng, Xiaojie Wang, Anoop Jain, Zhicheng Dou, Dong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language
Ekdeep Singh Lubana, Kyogo Kawaguchi, Robert Dick, Hidenori Tanaka
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Periodic Bayesian Flow for Material Generation
Hanlin Wu, Yuxuan Song, Jingjing Gong, Ziyao Cao, Yawen Ouyang, Jianbing Zhang, Hao Zhou, Wei-Ying Ma, Jingjing Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence
Mingyang Liu, Gabriele Farina, Asuman Ozdaglar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models
Yan Scholten, Stephan Günnemann, Leo Schwinn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning
Chen-Yu Liu, Chao-Han Huck Yang, Hsi-Sheng Goan, Min-Hsiu Hsieh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics
Katharina Friedl, Noémie Jaquier, Jens Lundell, Tamim Asfour, Danica Kragic
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Robust Method to Discover Causal or Anticausal Relation
Yu Yao, Yang Zhou, Bo Han, Mingming Gong, Kun Zhang, Tongliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Sanity Check for AI-generated Image Detection
Shilin Yan, Ouxiang Li, Jiayin Cai, Yanbin Hao, Xiaolong Jiang, Yao Hu, Weidi Xie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Second-Order Perspective on Model Compositionality and Incremental Learning
Angelo Porrello, Lorenzo Bonicelli, Pietro Buzzega, Monica Millunzi, Simone Calderara, Rita Cucchiara
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Simple Approach to Unifying Diffusion-based Conditional Generation
Xirui Li, Charles Herrmann, Kelvin Chan, Yinxiao Li, Deqing Sun, Chao Ma, Ming-Hsuan Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Simple Framework for Open-Vocabulary Zero-Shot Segmentation
Thomas Stegmüller, Tim Lebailly, Nikola Đukić, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Simple yet Effective $\Delta\Delta G$ Predictor is An Unsupervised Antibody Optimizer and Explainer
Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Guojiang Zhao, Zhifeng Gao, Stan Z Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals
Grace Liu, Michael Tang, Benjamin Eysenbach
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
Yingyu Lin, Yuxing Huang, Wenqin Liu, Haoran Deng, Ignavier Ng, Kun Zhang, Mingming Gong, Yian Ma, Biwei Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Solvable Attention for Neural Scaling Laws
Bochen Lyu, Di Wang, Zhanxing Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation
Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao, Yichi Zhang, Junyang Lin, Jinze Bai, Tianyu Liu, Baobao Chang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Statistical Approach for Controlled Training Data Detection
Zirui Hu, Yingjie Wang, Zheng Zhang, Hong Chen, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Statistical Framework for Ranking LLM-based Chatbots
Siavash Ameli, Siyuan Zhuang, Ion Stoica, Michael W Mahoney
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Stochastic Approach to the Subset Selection Problem via Mirror Descent
Dan Greenstein, Elazar Gershuni, Ilan Ben-Bassat, Yaroslav Fyodorov, Ran Moshe, Fiana Raiber, Alex Shtoff, Oren Somekh, Nadav Hallak
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Theoretical Analysis of Self-Supervised Learning for Vision Transformers
Yu Huang, Zixin Wen, Yuejie Chi, Yingbin Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Theoretical Framework for Partially-Observed Reward States in RLHF
Chinmaya Kausik, Mirco Mutti, Aldo Pacchiano, Ambuj Tewari
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops
Shi Fu, Yingjie Wang, Yuzhu Chen, Xinmei Tian, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules
Shih-Hsin Wang, Yuhao Huang, Justin Baker, Yuan-En Sun, Qi Tang, Bao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Theory for Token-Level Harmonization in Retrieval-Augmented Generation
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Theory of Initialisation's Impact on Specialisation
Devon Jarvis, Sebastian Lee, Clementine Domine, Andrew Saxe, Stefano Sarao Mannelli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems
Shulan Zhu, Chenglong Bao, Defeng Sun, Yancheng Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention
Heejun Lee, Geon Park, Youngwan Lee, Jaduk Suh, Jina Kim, Wonyong Jeong, Bumsik Kim, Hyemin Lee, Myeongjae Jeon, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Transfer Attack to Image Watermarks
Yuepeng Hu, Zhengyuan Jiang, Moyang Guo, Neil Gong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Truncated Newton Method for Optimal Transport
Mete Kemertas, Amir-massoud Farahmand, Allan Jepson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations
Naveen Gupta, Medha Sawhney, Arka Daw, Youzuo Lin, Anuj Karpatne
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Unified Theory of Quantum Neural Network Loss Landscapes
Eric Anschuetz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Unifying Framework for Representation Learning
Shaden Alshammari, John Hershey, Axel Feldmann, William Freeman, Mark Hamilton
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A Watermark for Order-Agnostic Language Models
Ruibo Chen, Yihan Wu, Yanshuo Chen, Chenxi Liu, Junfeng Guo, Heng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A deep inverse-mapping model for a flapping robotic wing
Hadar Sharvit, Raz Karl, Tsevi Beatus
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A new framework for evaluating model out-of-distribution generalisation for the biochemical domain
Raul Fernandez-Diaz, Hoang Thanh Lam, Vanessa Lopez, Denis Shields
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A transfer learning framework for weak to strong generalization
Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A-Bench: Are LMMs Masters at Evaluating AI-generated Images?
Zicheng Zhang, Haoning Wu, Chunyi Li, Yingjie Zhou, Wei Sun, Xiongkuo Min, Zijian Chen, Xiaohong Liu, Weisi Lin, Guangtao Zhai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
A3D: Does Diffusion Dream about 3D Alignment?
Savva Ignatyev, Nina Konovalova, Daniil Selikhanovych, Oleg Voinov, Nikolay Patakin, Ilya Olkov, Dmitry Senushkin, Alexey Artemov, Anton Konushin, Alexander Filippov, Peter Wonka, Evgeny Burnaev
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration
Andrew Estornell, Jean-Francois Ton, Yuanshun Yao, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer
Zhen Han, Zeyinzi Jiang, Yulin Pan, Jingfeng Zhang, Chaojie Mao, Chen-Wei Xie, Yu Liu, Jingren Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ACES: Automatic Cohort Extraction System for Event-Stream Datasets
Justin Xu, Jack Gallifant, ALISTAIR JOHNSON, Matthew McDermott
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ACTIVE: Offline Reinforcement Learning via Adaptive Imitation and In-sample $V$-Ensemble
Tianyuan Chen, Ronglong Cai, Faguo Wu, Xiao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ADAM Optimization with Adaptive Batch Selection
Gyu Yeol Kim, Min-hwan Oh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ADAM: An Embodied Causal Agent in Open-World Environments
Shu Yu, Chaochao Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ADAPT: Attentive Self-Distillation and Dual-Decoder Prediction Fusion for Continual Panoptic Segmentation
Ze Yang, Shichao Dong, Ruibo Li, Nan Song, Guosheng Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification
Xiao Li, Wenxuan Sun, Huanran Chen, Qiongxiu Li, Yingzhe He, Jie Shi, Xiaolin Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ADIFF: Explaining audio difference using natural language
Soham Deshmukh, Shuo Han, Rita Singh, Bhiksha Raj
Machine Learning
日本大学: 関与なし（対象大学）