ICLR

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

ICLR 公式サイト ↗

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
Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models
Zhengfeng Lai, Vasileios Saveris, Chen Chen, Hong-You Chen, Haotian Zhang, Bowen Zhang, Wenze Hu, Juan Tebar, Zhe Gan, Peter Grasch, Meng Cao, Yinfei Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Revisit Micro-batch Clipping: Adaptive Data Pruning via Gradient Manipulation
Lun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Revisit the Open Nature of Open Vocabulary Semantic Segmentation
Qiming Huang, Han Hu, Jianbo Jiao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Revisiting Convolution Architecture in the Realm of DNA Foundation Models
Yu Bo, Weian Mao, Daniel Shao, Weiqiang Bai, Peng Ye, Xinzhu Ma, Junbo Zhao, Hao Chen, Chunhua Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Revisiting In-context Learning Inference Circuit in Large Language Models
Hakaze Cho, Mariko Kato, Yoshihiro Sakai, Naoya Inoue
Machine Learning
日本大学: 北陸先端科学技術大学院大学
2025 · ICLR
Revisiting Large-Scale Non-convex Distributionally Robust Optimization
Qi Zhang, Yi Zhou, Simon Khan, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Revisiting Mode Connectivity in Neural Networks with Bezier Surface
Jie Ren, Pin-Yu Chen, Ren Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later
Han-Jia Ye, Huai-Hong Yin, De-Chuan Zhan, Wei-Lun Chao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
Minh Le, Chau Nguyen, Huy Nguyen, Quyen Tran, Trung Le, Nhat Ho
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Revisiting Random Walks for Learning on Graphs
Jinwoo Kim, Olga Zaghen, Ayhan Suleymanzade, Youngmin Ryou, Seunghoon Hong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control
Gezheng Xu, Hui GUO, Li Yi, Charles Ling, Boyu Wang, Grace Yi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations
Shaocong Ma, Heng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Revisiting a Design Choice in Gradient Temporal Difference Learning
Xiaochi Qian, Shangtong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Revisiting text-to-image evaluation with Gecko: on metrics, prompts, and human rating
Olivia Wiles, Chuhan Zhang, Isabela Albuquerque, Ivana Kajić, Su Wang, Emanuele Bugliarello, Yasumasa Onoe, Pinelopi Papalampidi, Ira Ktena, Christopher Knutsen, Cyrus Rashtchian, Anant Nawalgaria, Jordi Pont-Tuset, Aida Nematzadeh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Revolutionizing EMCCD Denoising through a Novel Physics-Based Learning Framework for Noise Modeling
Haiyang Jiang, Tetsuichi Wazawa, Imari Sato, Takeharu Nagai, Yinqiang Zheng
Machine Learning
日本大学: 大阪大学 / 東京大学
2025 · ICLR
Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning
Giseung Park, Youngchul Sung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Reward Learning from Multiple Feedback Types
Yannick Metz, Andras Geiszl, Raphaël Baur, Mennatallah El-Assady
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning
Amrith Setlur, Chirag Nagpal, Adam Fisch, Xinyang Geng, Jacob Eisenstein, Rishabh Agarwal, Alekh Agarwal, Jonathan Berant, Aviral Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples
Yangming Li, Max Ruiz Luyten, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Risk-Sensitive Variational Actor-Critic: A Model-Based Approach
Alonso Granados, Mohammadreza Ebrahimi, Jason Pacheco
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Robotouille: An Asynchronous Planning Benchmark for LLM Agents
Gonzalo Gonzalez-Pumariega, Leong Yean, Neha Sunkara, Sanjiban Choudhury
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets
Guangqi Jiang, Yifei Sun, Tao Huang, Huanyu Li, Yongyuan Liang, Huazhe Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RobuRCDet: Enhancing Robustness of Radar-Camera Fusion in Bird's Eye View for 3D Object Detection
Jingtong Yue, Zhiwei Lin, Xin Lin, Xiaoyu Zhou, Xiangtai Li, Lu Qi, Yongtao Wang, Ming-Hsuan Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
Milena Gazdieva, Jaemoo Choi, Alexander Kolesov, Jaewoong Choi, Petr Mokrov, Aleksandr Korotin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Robust Conformal Prediction with a Single Binary Certificate
Soroush H. Zargarbashi, Aleksandar Bojchevski
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Robust Feature Learning for Multi-Index Models in High Dimensions
Alireza Mousavi-Hosseini, Adel Javanmard, Murat A Erdogdu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Robust Function-Calling for On-Device Language Model via Function Masking
Qiqiang Lin, Muning Wen, Qiuying Peng, Guanyu Nie, Junwei Liao, Xiaoyun Mo, Jiamu Zhou, Cheng Cheng, Yin Zhao, Jun Wang, Weinan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
Shangding Gu, Laixi Shi, Muning Wen, Ming Jin, Eric Mazumdar, Yuejie Chi, Adam Wierman, Costas Spanos
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Robust LLM safeguarding via refusal feature adversarial training
Lei Yu, Virginie Do, Karen Hambardzumyan, Nicola Cancedda
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Robust Representation Consistency Model via Contrastive Denoising
jiachen lei, Julius Berner, Jiongxiao Wang, Zhongzhu Chen, Chaowei Xiao, Zhongjie Ba, Kui Ren, Jun Zhu, anima anandkumar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Robust Root Cause Diagnosis using In-Distribution Interventions
Lokesh Nagalapatti, Ashutosh Srivastava, Sunita Sarawagi, Amit Sharma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Robust Simulation-Based Inference under Missing Data via Neural Processes
Yogesh Verma, Ayush Bharti, Vikas Garg
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Robust System Identification: Finite-sample Guarantees and Connection to Regularization
Hank Park, Grani A. Hanasusanto, Yingying Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Robust Transfer of Safety-Constrained Reinforcement Learning Agents
Markel Zubia, Thiago Simão, Nils Jansen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances
Shilin Lu, Zihan Zhou, Jiayou Lu, Yuanzhi Zhu, Adams Kong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis
Hyunwoo Lee, Hayoung Choi, Hyunju Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Robust-PIFu: Robust Pixel-aligned Implicit Function for 3D Human Digitalization from a Single Image
Kennard Chan, Fayao Liu, Guosheng Lin, Chuan Sheng Foo, Weisi Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction
Tanqiu Jiang, Zian Wang, Jiacheng Liang, Changjiang Li, Yuhui Wang, Ting Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Robustness Auditing for Linear Regression: To Singularity and Beyond
Ittai Rubinstein, Samuel Hopkins
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Robustness Inspired Graph Backdoor Defense
Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Robustness Reprogramming for Representation Learning
Zhichao Hou, MohamadAli Torkamani, Hamid Krim, Xiaorui Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Robustness of Quantum Algorithms for Nonconvex Optimization
Weiyuan Gong, Chenyi Zhang, Tongyang Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RocketEval: Efficient automated LLM evaluation via grading checklist
Tianjun Wei, Wei Wen, Ruizhi Qiao, Xing Sun, Jianghong Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions
Zhihao He, Hang Yu, Zi Gong, Shi Zhan Liu, Jianguo Li, Weiyao Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery
Xiao Han, Saima Absar, Lu Zhang, Shuhan Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference
Ke Yi, Zengke Liu, jianwei zhang, Chengyuan Li, Tong Zhang, Junyang Lin, Jingren Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Round and Round We Go! What makes Rotary Positional Encodings useful?
Federico Barbero, Alex Vitvitskyi, Christos Perivolaropoulos, Razvan Pascanu, Petar Veličković
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RouteLLM: Learning to Route LLMs from Preference Data
Isaac Ong, Amjad Almahairi, Vincent Wu, Wei-Lin Chiang, Tianhao Wu, Joseph E Gonzalez, M Kadous, Ion Stoica
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Routing Experts: Learning to Route Dynamic Experts in Existing Multi-modal Large Language Models
Qiong Wu, Zhaoxi Ke, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RuAG: Learned-rule-augmented Generation for Large Language Models
Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravanakumar Rajmohan, Qi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
S4M: S4 for multivariate time series forecasting with Missing values
Jing Peng, Meiqi Yang, Qiong Zhang, Xiaoxiao Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation
Jaehong Yoon, Shoubin Yu, Vaidehi Ramesh Patil, Huaxiu Yao, Mohit Bansal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SAGEPhos: Sage Bio-Coupled and Augmented Fusion for Phosphorylation Site Detection
Jingjie Zhang, Hanqun Cao, Zijun Gao, Xiaorui Wang, Chunbin Gu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SAM 2: Segment Anything in Images and Videos
Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloe Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross Girshick, Piotr Dollar, Christoph Feichtenhofer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentation
Pengfei Chen, Lingxi Xie, xinyue huo, Xuehui Yu, XIAOPENG ZHANG, Yingfei Sun, Zhenjun Han, Qi Tian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement
Yuqi Lin, Hengjia Li, Wenqi Shao, Zheng Yang, Jun Zhao, Xiaofei He, Ping Luo, Kaipeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers
Enze Xie, Junsong Chen, Junyu Chen, Han Cai, Haotian Tang, Yujun Lin, Zhekai Zhang, Muyang Li, Ligeng Zhu, Yao Lu, Song Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP
Yusuke Hirota, Min-Hung Chen, Chien-Yi Wang, Yuta Nakashima, Yu-Chiang Frank Wang, Ryo Hachiuma
Machine Learning
日本大学: 大阪大学
2025 · ICLR
SAVA: Scalable Learning-Agnostic Data Valuation
Samuel Kessler, Tam Le, Vu Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SBSC: Step-by-Step Coding for Improving Mathematical Olympiad Performance
Kunal Singh, Ankan Biswas, Sayandeep Bhowmick, Pradeep Moturi, Siva Gollapalli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SC-OmniGS: Self-Calibrating Omnidirectional Gaussian Splatting
Huajian Huang, Yingshu Chen, Longwei Li, Hui Cheng, Tristan Braud, Yajie Zhao, Sai-Kit Yeung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SCBench: A KV Cache-Centric Analysis of Long-Context Methods
Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation
Song Duong, Florian Le Bronnec, Alexandre Allauzen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, patrick Gallinari
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
Yichen Wu, Hongming Piao, Long-Kai Huang, Renzhen Wang, Wanhua Li, Hanspeter Pfister, Deyu Meng, Kede Ma, Ying Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection
Han Shen, Pin-Yu Chen, Payel Das, Tianyi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SEBRA : Debiasing through Self-Guided Bias Ranking
Adarsh Kappiyath, Abhra Chaudhuri, AJAY JAISWAL, Ziquan Liu, Yunpeng Li, Xiatian Zhu, Lu Yin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SELF-EVOLVED REWARD LEARNING FOR LLMS
Chenghua Huang, Zhizhen Fan, Lu Wang, Fangkai Yang, Pu Zhao, Zeqi Lin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SEMDICE: Off-policy State Entropy Maximization via Stationary Distribution Correction Estimation
Jongmin Lee, Meiqi Sun, Pieter Abbeel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process
Hanzhen Zhao, Xingyu Xie, Cong Fang, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SFESS: Score Function Estimators for $k$-Subset Sampling
Klas Wijk, Ricardo Vinuesa, Hossein Azizpour
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SFS: Smarter Code Space Search improves LLM Inference Scaling
Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation
Koichi Namekata, Sherwin Bahmani, Ziyi Wu, Yash Kant, Igor Gilitschenski, David Lindell
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SGD with memory: fundamental properties and stochastic acceleration
Dmitry Yarotsky, Maksim Velikanov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments
Simon Dahan, Gabriel Bénédict, Logan Williams, Yourong Guo, Daniel Rueckert, Robert Leech, Emma Robinson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SIMPL: Scalable and hassle-free optimisation of neural representations from behaviour
Tom George, Pierre Glaser, Kimberly Stachenfeld, Caswell Barry, Claudia Clopath
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects
Jiayi Liu, Denys Iliash, Angel Chang, Manolis Savva, Ali Mahdavi Amiri
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs
Mingquan Feng, Yixin Huang, Weixin Liao, Yuhong Liu, Yizhou Liu, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
Wujiang Xu, Qitian Wu, Zujie Liang, Jiaojiao Han, Xuying Ning, Yunxiao Shi, Wenfang Lin, Yongfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs
Mohammad Mozaffari, Amir Yazdanbakhsh, Zhao Zhang, Maryam Mehri Dehnavi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision
Kangjie Zheng, Siyue Liang, Junwei Yang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SMITE: Segment Me In TimE
Amirhossein Alimohammadi, Sauradip Nag, Saeid Asgari, Andrea Tagliasacchi, Ghassan Hamarneh, Ali Mahdavi Amiri
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SMT: Fine-Tuning Large Language Models with Sparse Matrices
Haoze He, Juncheng Li, Xuan Jiang, Heather Miller
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SOAP: Improving and Stabilizing Shampoo using Adam for Language Modeling
Nikhil Vyas, Depen Morwani, Rosie Zhao, Itai Shapira, David Brandfonbrener, Lucas Janson, Sham Kakade
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SONICS: Synthetic Or Not - Identifying Counterfeit Songs
Awsaf Rahman, Zaber Ibn Abdul Hakim, Najibul Haque Sarker, Bishmoy Paul, Anowarul Fattah
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization
Hong Qian, Yiyi Zhu, Xiang Shu, Shuo Liu, Yaolin Wen, Xin An, Huakang LU, Aimin Zhou, Ke Tang, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SOREL: A Stochastic Algorithm for Spectral Risks Minimization
Yuze Ge, Rujun Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal
Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SPA-BENCH: A COMPREHENSIVE BENCHMARK FOR SMARTPHONE AGENT EVALUATION
Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Kaiwen Zhou, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye HAO, Jun Wang, Kun Shao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SPA: 3D Spatial-Awareness Enables Effective Embodied Representation
Haoyi Zhu, Honghui Yang, Yating Wang, Jiange Yang, Limin Wang, Tong He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Model
Yue Zhang, Zhiyang Xu, Ying Shen, Parisa Kordjamshidi, Lifu Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG
Shanglin Li, Motoaki Kawanabe, Reinmar Kobler
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models
Haotian Xia, Zhengbang Yang, Junbo Zou, Rhys Tracy, Yuqing Wang, Chi Lu, Christopher Lai, Yanjun He, Xun Shao, Zhuoqing Xie, Yuan-fang Wang, Weining Shen, Hanjie Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
Jiale Cheng, Xiao Liu, Cunxiang Wang, Xiaotao Gu, Yida Lu, Dan Zhang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks
Yijie Guo, Bingjie Tang, Iretiayo Akinola, Dieter Fox, Abhishek Gupta, Yashraj Narang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes
Tony Alex, Sara Atito, Armin Mustafa, Muhammad Awais, Philip Jackson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning
Lun Huang, Qiang Qiu, Guillermo Sapiro
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ST-GCond: Self-supervised and Transferable Graph Dataset Condensation
Beining Yang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning
Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen, Tianlin Li, Weipeng Jiang, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
STAMP: Scalable Task- And Model-agnostic Collaborative Perception
Xiangbo Gao, Runsheng Xu, Jiachen Li, Ziran Wang, Zhiwen Fan, Zhengzhong Tu
Machine Learning
日本大学: 関与なし（対象大学）