ICLR

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
ADMM for Nonconvex Optimization under Minimal Continuity Assumption
Ganzhao Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ADMM for Structured Fractional Minimization
Ganzhao Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning
Pengwei Tang, Xiaolin Hu, Yong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
AFlow: Automating Agentic Workflow Generation
Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, Fengwei Teng, XiongHui Chen, Jiaqi Chen, Mingchen Zhuge, Xin Cheng, Sirui Hong, Jinlin Wang, Bingnan Zheng, Bang Liu, Yuyu Luo, Chenglin Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation
Jiafei Duan, Wilbert Pumacay, Nishanth Kumar, Yi Ru Wang, Shulin Tian, Wentao Yuan, Ranjay Krishna, Dieter Fox, Ajay Mandlekar, Yijie Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
AI Sandbagging: Language Models can Strategically Underperform on Evaluations
Teun van der Weij, Felix Hofstätter, Oliver Jaffe, Samuel Brown, Francis Ward
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
AI as Humanity’s Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text
Ximing Lu, Melanie Sclar, Skyler Hallinan, Niloofar Mireshghallah, Jiacheng Liu, Seungju Han, Allyson Ettinger, Liwei Jiang, Khyathi Chandu, Nouha Dziri, Yejin Choi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
AI2TALE: An Innovative Information Theory-based Approach for Learning to Localize Phishing Attacks
Van Nguyen, Tingmin Wu, Xingliang YUAN, Marthie Grobler, Surya Nepal, Carsten Rudolph
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements
Adriana-Eufrosina Bora, Pierre-Luc St-Charles, Mirko Bronzi, Arsene Fansi Tchango, Bruno Rousseau, Kerrie Mengersen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories
Yi Zeng, Yu Yang, Andy Zhou, Jeffrey Tan, Yuheng Tu, Yifan Mai, Kevin Klyman, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition
Joseph Fioresi, Ishan Rajendrakumar Dave, Mubarak Shah
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ALLaM: Large Language Models for Arabic and English
M Saiful Bari, Yazeed Alnumay, Norah Alzahrani, Nouf Alotaibi, Hisham Alyahya, AlRashed, Faisal Mirza, Shaykhah Alsubaie, Hassan Alahmed, Ghadah Alabduljabbar, Raghad Alkhathran, Yousef Almushayqih, Raneem Alnajim, Salman I Alsubaihi, Maryam Al Mansour, Saad Hassan, Majed Alrubaian, Ali Alammari, Zaki Alawami, Abdulmohsen Al-Thubaity, Ahmed Abdelali, Jeril Kuriakose, Abdalghani Abujabal, Nora Al-Twairesh, Areeb Alowisheq, Haidar Khan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning
Nilo Schwencke, Cyril Furtlehner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding
Xinyu Yang, Tianqi Chen, Beidi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
API Pack: A Massive Multi-Programming Language Dataset for API Call Generation
Gavin (Zhen) Guo, Adriana Meza Soria, Wei Sun, Yikang Shen, Rameswar Panda
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ARB-LLM: Alternating Refined Binarizations for Large Language Models
Zhiteng Li, Xianglong Yan, Tianao Zhang, Haotong Qin, Dong Xie, Jiang Tian, zhongchao shi, Linghe Kong, Yulun Zhang, Xiaokang Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation
Zongyi Li, Shujie HU, Shujie LIU, Long Zhou, Jeongsoo Choi, Lingwei Meng, Xun Guo, Jinyu Li, Hefei Ling, Furu Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks
Prakash Chandra Chhipa, Gautam Vashishtha, Jithamanyu Settur, Rajkumar Saini, Mubarak Shah, Marcus Liwicki
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models
Kim Sung-Bin, Oh Hyun-Bin, Lee Jung-Mok, Arda Senocak, Joon Son Chung, Tae-Hyun Oh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Accelerated Over-Relaxation Heavy-Ball Method: Achieving Global Accelerated Convergence with Broad Generalization
Jingrong Wei, Long Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Accelerated training through iterative gradient propagation along the residual path
Erwan Fagnou, Paul Caillon, Blaise Delattre, Alexandre Allauzen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport
Haokai Hong, Wanyu LIN, KC Tan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
Yao Teng, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Accelerating Diffusion Transformers with Token-wise Feature Caching
Chang Zou, Xuyang Liu, Ting Liu, Siteng Huang, Linfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Accelerating Goal-Conditioned Reinforcement Learning Algorithms and Research
Michał Bortkiewicz, Władysław Pałucki, Vivek Myers, Tadeusz Dziarmaga, Tomasz Arczewski, Łukasz Kuciński, Benjamin Eysenbach
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection
Yun Zhu, Jia-Chen Gu, Caitlin Sikora, Ho Ko, Yinxiao Liu, Chu-Cheng Lin, Lei Shu, Liangchen Luo, Lei Meng, Bang Liu, Jindong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Accelerating Neural ODEs: A Variational Formulation-based Approach
Hongjue Zhao, Yuchen Wang, Hairong Qi, Zijie Huang, Han Zhao, Lui Sha, Huajie Shao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Accelerating Task Generalisation with Multi-Level Skill Hierarchies
Thomas Cannon, Özgür Şimşek
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Accelerating Training with Neuron Interaction and Nowcasting Networks
Boris Knyazev, Abhinav Moudgil, Guillaume Lajoie, Eugene Belilovsky, Simon Lacoste-Julien
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Accelerating neural network training: An analysis of the AlgoPerf competition
Priya Kasimbeg, Frank Schneider, Runa Eschenhagen, Juhan Bae, Chandramouli Shama Sastry, Mark Saroufim, BOYUAN FENG, Less Wright, Edward Yang, Zachary Nado, Sourabh Medapati, Philipp Hennig, Michael Rabbat, George Dahl
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Accessing Vision Foundation Models via ImageNet-1K
Yitian Zhang, Xu Ma, Yue Bai, Huan Wang, Yun Fu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Accurate and Scalable Graph Neural Networks via Message Invariance
Zhihao Shi, Jie Wang, Zhiwei Zhuang, Xize Liang, Bin Li, Feng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
Yarden As, Bhavya, Lenart Treven, Carmelo Sferrazza, Stelian Coros, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Action Sequence Augmentation for Action Anticipation
Yihui Qiu, Deepu Rajan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Action abstractions for amortized sampling
Oussama Boussif, Léna Ezzine, Joseph Viviano, Michał Koziarski, Moksh Jain, Nikolay Malkin, Emmanuel Bengio, Rim Assouel, Yoshua Bengio
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints
Divij Handa, Pavel Dolin, Shrinidhi Kumbhar, Tran Son, Chitta Baral
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Actions Speak Louder Than Words: Rate-Reward Trade-off in Markov Decision Processes
Haotian Wu, Gongpu Chen, Deniz Gunduz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks
Danni Yuan, Mingda Zhang, Shaokui Wei, Li Liu, Baoyuan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Active Learning for Continual Learning: Keeping the Past Alive in the Present
Jaehyun Park, Dongmin Park, Jae-Gil Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Active Learning for Neural PDE Solvers
Daniel Musekamp, Marimuthu Kalimuthu, David Holzmüller, Makoto Takamoto, Mathias Niepert
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Active Task Disambiguation with LLMs
Katarzyna Kobalczyk, Nicolás Astorga, Tennison Liu, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Ada-K Routing: Boosting the Efficiency of MoE-based LLMs
Zijia Zhao, Longteng Guo, Jie Cheng, Xuange Gao, Hua Huang, Jing Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
AdaFisher: Adaptive Second Order Optimization via Fisher Information
Damien GOMES, Yanlei Zhang, Eugene Belilovsky, Guy Wolf, Mahdi S. Hosseini
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
AdaGrad under Anisotropic Smoothness
Yuxing Liu, Rui Pan, Tong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation
Yuning Cui, Syed Waqas Zamir, Salman Khan, Alois Knoll, Mubarak Shah, Fahad Khan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning
Yuanfei Wang, Xiaojie Zhang, Ruihai Wu, Yu Li, Yan Shen, Mingdong Wu, Zhaofeng He, Yizhou Wang, Hao Dong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
AdaRankGrad: Adaptive Gradient Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning
Yehonathan Refael, Jonathan Svirsky, Boris Shustin, Wasim Huleihel, Ofir Lindenbaum
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
AdaWM: Adaptive World Model based Planning for Autonomous Driving
Hang Wang, Xin Ye, Feng Tao, Chenbin Pan, Abhirup Mallik, Burhan Yaman, Liu Ren, Junshan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adam Exploits $\ell_\infty$-geometry of Loss Landscape via Coordinate-wise Adaptivity
Shuo Xie, Mohamad Amin Mohamadi, Zhiyuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adam-mini: Use Fewer Learning Rates To Gain More
Yushun Zhang, Congliang Chen, Ziniu Li, Tian Ding, Chenwei Wu, Diederik (Durk) Kingma, Yinyu Ye, Zhi-Quan Luo, Ruoyu Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adapt-$\infty$: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection
Adyasha Maharana, Jaehong Yoon, Tianlong Chen, Mohit Bansal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adapters for Altering LLM Vocabularies: What Languages Benefit the Most?
HyoJung Han, Akiko Eriguchi, Haoran Xu, Hieu Hoang, Marine Carpuat, Huda Khayrallah
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards
Xiaoyu Yang, Jie Lu, En Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adaptive $Q$-Network: On-the-fly Target Selection for Deep Reinforcement Learning
Théo Vincent, Fabian Wahren, Jan Peters, Boris Belousov, Carlo D'Eramo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adaptive Batch Size for Privately Finding Second-Order Stationary Points
Daogao Liu, Kunal Talwar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adaptive Camera Sensor for Vision Models
Eunsu Baek, Sung-hwan Han, Taesik Gong, Hyung-Sin Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws
Yiding Jiang, Allan Zhou, Zhili Feng, Sadhika Malladi, Zico Kolter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats
Jiaxin Wen, Vivek Hebbar, Caleb Larson, Aryan Bhatt, Ansh Radhakrishnan, Mrinank Sharma, Henry Sleight, Shi Feng, He He, Ethan Perez, Buck Shlegeris, Akbir Khan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adaptive Energy Alignment for Accelerating Test-Time Adaptation
Wonjeong Choi, Do-Yeon Kim, Jungwuk Park, JungMoon Lee, Younghyun Park, Dong-Jun Han, Jaekyun Moon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adaptive Gradient Clipping for Robust Federated Learning
Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Ahmed Jellouli, Geovani Rizk, John Stephan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adaptive Length Image Tokenization via Recurrent Allocation
Shivam Duggal, Phillip Isola, Antonio Torralba, William Freeman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise
Enea Monzio Compagnoni, Tianlin Liu, Rustem Islamov, Frank Proske, Antonio Orvieto, Aurelien Lucchi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adaptive Pruning of Pretrained Transformer via Differential Inclusions
yizhuo Ding, Ke Fan, Yikai Wang, Xinwei Sun, Yanwei Fu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters
Roberto Garcia, Jerry Liu, Daniel Sorvisto, Sabri Eyuboglu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adaptive Retention & Correction: Test-Time Training for Continual Learning
Haoran Chen, Micah Goldblum, Zuxuan Wu, Yu-Gang Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adaptive Shrinkage Estimation for Personalized Deep Kernel Regression in Modeling Brain Trajectories
Vasiliki Tassopoulou, Haochang Shou, Christos Davatzikos
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adaptive Transformer Programs: Bridging the Gap Between Performance and Interpretability in Transformers
Quoc-Vinh Lai-Dang, Taemin Kang, Seungah Son
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adaptive backtracking for faster optimization
Joao V. Cavalcanti, Laurent Lessard, Ashia Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adaptive teachers for amortized samplers
Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models
Yoad Tewel, Rinon Gal, Dvir Samuel, Yuval Atzmon, Lior Wolf, Gal Chechik
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models
Zeman Li, Xinwei Zhang, Peilin Zhong, Yuan Deng, Meisam Razaviyayn, Vahab Mirrokni
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Yulai Zhao, Masatoshi Uehara, Gabriele Scalia, Sunyuan Kung, Tommaso Biancalani, Sergey Levine, Ehsan Hajiramezanali
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Addressing Label Shift in Distributed Learning via Entropy Regularization
Zhiyuan Wu, Changkyu Choi, Xiangcheng Cao, Volkan Cevher, Ali Ramezani-Kebrya
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control
Carles Domingo i Enrich, Michal Drozdzal, Brian Karrer, Ricky T. Q. Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption
Joonsung Jeon, Woo Jae Kim, Suhyeon Ha, Sooel Son, Sung-eui Yoon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
AdvWave: Stealthy Adversarial Jailbreak Attack against Large Audio-Language Models
Mintong Kang, Chejian Xu, Bo Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Advancing Graph Generation through Beta Diffusion
Xinyang Liu, Yilin He, Bo Chen, Mingyuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Advancing LLM Reasoning Generalists with Preference Trees
Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Boji Shan, Zeyuan Liu, Jia Deng, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages
Zui Chen, Tianqiao Liu, Tongqing, Mi Tian, Weiqi Luo, Zitao Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Advancing Out-of-Distribution Detection via Local Neuroplasticity
Alessandro Canevaro, Julian Schmidt, Sajad Marvi, Hang Yu, Georg Martius, Julian Jordan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Advancing Prompt-Based Methods for Replay-Independent General Continual Learning
Zhiqi KANG, Liyuan Wang, Xingxing Zhang, Karteek Alahari
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Advantage Alignment Algorithms
Juan Duque, Milad Aghajohari, Timotheus Cooijmans, Razvan Ciuca, Tianyu Zhang, Gauthier Gidel, Aaron Courville
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Advantage-Guided Distillation for Preference Alignment in Small Language Models
Shiping Gao, Fanqi Wan, Jiajian Guo, Xiaojun Quan, Qifan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adversarial Attacks on Data Attribution
Xinhe Wang, Pingbang Hu, Junwei Deng, Jiaqi Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adversarial Generative Flow Network for Solving Vehicle Routing Problems
Ni Zhang, Jingfeng Yang, Zhiguang Cao, Xu Chi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adversarial Latent Feature Augmentation for Fairness
Hoin Jung, Junyi Chai, Xiaoqian Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adversarial Machine Unlearning
Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adversarial Mixup Unlearning
Zhuoyi Peng, Yixuan Tang, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI
Robert Hönig, Javier Rando, Nicholas Carlini, Florian Tramer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning
Hyungkyu Kang, Min-hwan Oh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step
Mingyuan Zhou, Huangjie Zheng, Yi Gu, Zhendong Wang, Hai Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adversarial Search Engine Optimization for Large Language Models
Fredrik Nestaas, Edoardo Debenedetti, Florian Tramer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Binghui Li, Yuanzhi Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adversarial Training for Defense Against Label Poisoning Attacks
Melis Ilayda Bal, Volkan Cevher, Michael Muehlebach
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation
Hossein Mirzaei Sadeghlou, Mojtaba Nafez, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban
Machine Learning
日本大学: 沖縄科学技術大学院大学
2025 · ICLR
Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings
Hossein Mirzaei Sadeghlou, Mackenzie Mathis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness
Maayan Ehrenberg, Roy Ganz, Nir Rosenfeld
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Affine Steerable Equivariant Layer for Canonicalization of Neural Networks
Yikang Li, Yeqing Qiu, Yuxuan Chen, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Agent S: An Open Agentic Framework that Uses Computers Like a Human
Saaket Agashe, Jiuzhou Han, Shuyu Gan, Jiachen Yang, Ang Li, Xin Wang
Machine Learning
日本大学: 関与なし（対象大学）