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
STAR: Stability-Inducing Weight Perturbation for Continual Learning
Masih Eskandar, Tooba Imtiaz, Davin Hill, Zifeng Wang, Jennifer Dy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
STAR: Synthesis of Tailored Architectures
Armin Thomas, Rom Parnichkun, Alexander Amini, Stefano Massaroli, Michael Poli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs
Peijie Dong, Lujun Li, Yuedong Zhong, DaYou Du, Ruibo FAN, Yuhan CHEN, Zhenheng Tang, Qiang Wang, Wei Xue, Yike Guo, Xiaowen Chu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes
Jiawei Yang, Jiahui Huang, Boris Ivanovic, Yuxiao Chen, Yan Wang, Boyi Li, Yurong You, Apoorva Sharma, Maximilian Igl, Peter Karkus, Danfei Xu, Yue Wang, Marco Pavone
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning
Marius Memmel, Jacob Berg, Bingqing Chen, Abhishek Gupta, Jonathan Francis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding
Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan Rossi, Changyou Chen, Tong Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency
Yiming Xie, Chun-Han Yao, Vikram Voleti, Huaizu Jiang, Varun Jampani
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SVBench: A Benchmark with Temporal Multi-Turn Dialogues for Streaming Video Understanding
Zhenyu Yang, Yuhang Hu, Zemin Du, Dizhan Xue, Shengsheng Qian, Jiahong Wu, Fan Yang, Weiming Dong, Changsheng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
Xin Wang, Yu Zheng, Zhongwei Wan, Mi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models
Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li, Junxian Guo, Enze Xie, Chenlin Meng, Jun-Yan Zhu, Song Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SVG: 3D Stereoscopic Video Generation via Denoising Frame Matrix
Peng Dai, Feitong Tan, Qiangeng Xu, David Futschik, Ruofei Du, Sean Fanello, XIAOJUAN QI, Yinda Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement
Antonis Antoniades, Albert Örwall, Kexun Zhang, Yuxi Xie, Anirudh Goyal, William Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?
John Yang, Carlos E Jimenez, Alex Zhang, Kilian Lieret, Joyce Yang, Xindi Wu, Ori Press, Niklas Muennighoff, Gabriel Synnaeve, Karthik Narasimhan, Diyi Yang, Sida Wang, Ofir Press
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SWEb: A Large Web Dataset for the Scandinavian Languages
Tobias Norlund, Tim Isbister, Amaru Cuba Gyllensten, Paul dos Santos, Danila Petrelli, Ariel Ekgren, Magnus Sahlgren
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration
Heming Xia, Yongqi Li, Jun Zhang, Cunxiao Du, Wenjie Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation
Mingjie Li, Wai Man Si, Michael Backes, Yang Zhang, Yisen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models
Kehua Feng, Keyan Ding, Jing Yu, Yiwen Qu, Zhiwen Chen, chengfei lv, Gang Yu, Qiang Zhang, Huajun Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation
Teng Hu, Jiangning Zhang, Ran Yi, Hongrui Huang, Yabiao Wang, Lizhuang Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SafeDiffuser: Safe Planning with Diffusion Probabilistic Models
Wei Xiao, Johnson (Tsun-Hsuan) Wang, Chuang Gan, Ramin Hasani, Mathias Lechner, Daniela Rus
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations
Zhaorun Chen, Francesco Pinto, Minzhou Pan, Bo Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Safety Alignment Should be Made More Than Just a Few Tokens Deep
Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, Xiao Ma, Subhrajit Roy, Ahmad Beirami, Prateek Mittal, Peter Henderson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Safety Layers in Aligned Large Language Models: The Key to LLM Security
Shen Li, Liuyi Yao, Lan Zhang, Yaliang Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Safety Representations for Safer Policy Learning
Kaustubh Mani, Vincent Mai, Charlie Gauthier, Annie Chen, Samer Nashed, Liam Paull
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Safety-Prioritizing Curricula for Constrained Reinforcement Learning
Cevahir Koprulu, Thiago Simão, Nils Jansen, ufuk topcu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration
Jintao Zhang, Jia wei, Pengle Zhang, Jun Zhu, Jianfei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sail into the Headwind: Alignment via Robust Rewards and Dynamic Labels against Reward Hacking
Paria Rashidinejad, Yuandong Tian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Salvage: Shapley-distribution Approximation Learning Via Attribution Guided Exploration for Explainable Image Classification
Mehdi Naouar, Hanne Raum, Jens Rahnfeld, Yannick Vogt, Joschka Boedecker, Gabriel Kalweit, Maria Kalweit
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
Liliang Ren, Yang Liu, Yadong Lu, yelong shen, Chen Liang, Weizhu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking
Mattia Segu, Luigi Piccinelli, Siyuan Li, Yung-Hsu Yang, Luc Van Gool, Bernt Schiele
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models
Qingni Wang, Tiantian Geng, Zhiyuan Wang, Teng Wang, Bo Fu, Feng Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Satisficing Regret Minimization in Bandits
Qing Feng, Tianyi Ma, Ruihao Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ScImage: How good are multimodal large language models at scientific text-to-image generation?
Leixin Zhang, Steffen Eger, Yinjie Cheng, Weihe Zhai, Jonas Belouadi, Fahimeh Moafian, Zhixue Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scalable Bayesian Learning with posteriors
Samuel Duffield, Kaelan Donatella, Johnathan Chiu, Phoebe Klett, Daniel Simpson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video
Xiaohao Xu, Tianyi Zhang, Shibo Zhao, Xiang Li, Sibo Wang, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Sebastian Scherer, Xiaonan Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scalable Decentralized Learning with Teleportation
Yuki Takezawa, Sebastian Stich
Machine Learning
日本大学: 京都大学
2025 · ICLR
Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction
Baiting Luo, Ava Pettet, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics
Sebastian Sanokowski, Wilhelm Berghammer, Haoyu Wang, Martin Ennemoser, Sepp Hochreiter, Sebastian Lehner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scalable Extraction of Training Data from Aligned, Production Language Models
Milad Nasr, Javier Rando, Nicholas Carlini, Jonathan Hayase, Matthew Jagielski, A. Feder Cooper, Daphne Ippolito, Christopher Choquette-Choo, Florian Tramer, Katherine Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scalable Influence and Fact Tracing for Large Language Model Pretraining
Tyler Chang, Dheeraj Rajagopal, Tolga Bolukbasi, Lucas Dixon, Ian Tenney
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scalable Mechanistic Neural Networks
Jiale Chen, Dingling Yao, Adeel Pervez, Dan Alistarh, Francesco Locatello
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scalable Universal T-Cell Receptor Embeddings from Adaptive Immune Repertoires
Paidamoyo Chapfuwa, Ilker Demirel, Lorenzo Pisani, Javier Zazo, Elon Portugaly, H. Zahid, Julia Greissl
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
Lu Yi, Zhewei Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection
Chunlei Li, Yilei Shi, Jingliang Hu, Xiaoxiang Zhu, Lichao Mou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scale-Free Graph-Language Models
Jianglin Lu, Yixuan Liu, Yitian Zhang, Yun Fu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scale-aware Recognition in Satellite Images under Resource Constraints
Shreelekha Revankar, Cheng Perng Phoo, Utkarsh Kumar Mall, Bharath Hariharan, Kavita Bala
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scaling Autonomous Agents via Automatic Reward Modeling And Planning
Zhenfang Chen, Delin Chen, Rui Sun, Wenjun Liu, Chuang Gan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scaling Diffusion Language Models via Adaptation from Autoregressive Models
Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei BI, Jiawei Han, Hao Peng, Lingpeng Kong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scaling FP8 training to trillion-token LLMs
Maxim Fishman, Brian Chmiel, Ron Banner, Daniel Soudry
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scaling In-the-Wild Training for Diffusion-based Illumination Harmonization and Editing by Imposing Consistent Light Transport
Lvmin Zhang, Anyi Rao, Maneesh Agrawala
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation
Linda He, Jue Wang, Maurice Weber, Shang Zhu, Ben Athiwaratkun, Ce Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scaling LLM Test-Time Compute Optimally Can be More Effective than Scaling Parameters for Reasoning
Charlie Snell, Jaehoon Lee, Kelvin Xu, Aviral Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scaling Large Language Model-based Multi-Agent Collaboration
Chen Qian, Zihao Xie, YiFei Wang, Wei Liu, Kunlun Zhu, Hanchen Xia, Yufan Dang, Zhuoyun Du, Weize Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scaling Laws for Adversarial Attacks on Language Model Activations and Tokens
Stanislav Fort
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scaling Laws for Downstream Task Performance in Machine Translation
Berivan Isik, NATALIA PONOMAREVA, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii, Sanmi Koyejo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scaling Laws for Precision
Tanishq Kumar, Zachary Ankner, Benjamin Spector, Blake Bordelon, Niklas Muennighoff, Mansheej Paul, Cengiz Pehlevan, Christopher Re, Aditi Raghunathan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scaling Long Context Training Data by Long-Distance Referrals
Yonghao Zhuang, Lanxiang Hu, Longfei Yun, Souvik Kundu, Zhengzhong Liu, Eric P Xing, Hao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining
Jie Cheng, Ruixi Qiao, ma yingwei, Binhua Li, Gang Xiong, Qinghai Miao, Yongbin Li, Yisheng Lv
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scaling Optimal LR Across Token Horizons
Johan Bjorck, Alon Benhaim, Vishrav Chaudhary, Furu Wei, Xia Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scaling Speech-Text Pre-training with Synthetic Interleaved Data
Aohan Zeng, Zhengxiao Du, Mingdao Liu, Lei Zhang, shengmin jiang, Yuxiao Dong, Jie Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study
Shawn Tan, Songlin Yang, Aaron Courville, Rameswar Panda, Yikang Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scaling Transformers for Low-Bitrate High-Quality Speech Coding
Julian Parker, Anton Smirnov, Jordi Pons, CJ Carr, Zack Zukowski, Zach Evans, Xubo Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scaling Wearable Foundation Models
Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam Tailor, Jacob Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak Patel, Samy Abdel-Ghaffar, Daniel McDuff
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scaling and evaluating sparse autoencoders
Leo Gao, Tom Dupre la Tour, Henk Tillman, Gabriel Goh, Rajan Troll, Alec Radford, Ilya Sutskever, Jan Leike, Jeffrey Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scaling up Masked Diffusion Models on Text
Shen Nie, Fengqi Zhu, Chao Du, Tianyu Pang, Qian Liu, Guangtao Zeng, Min Lin, Chongxuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scaling up the Banded Matrix Factorization Mechanism for Large Scale Differentially Private ML
Ryan McKenna
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure
Can Pouliquen, Mathurin Massias, Titouan Vayer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
Sihang Li, Jin Huang, Jiaxi Zhuang, Yaorui SHI, Xiaochen Cai, Mingjun Xu, Xiang Wang, Linfeng Zhang, Guolin Ke, Hengxing Cai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
Ziru Chen, Shijie Chen, Yuting Ning, Qianheng Zhang, Boshi Wang, Botao Yu, Yifei Li, Zeyi Liao, Chen Wei, Zitong Lu, Vishal Dey, Mingyi Xue, Frazier N. Baker, Benjamin Burns, Daniel Adu-Ampratwum, Xuhui Huang, Xia Ning, Song Gao, Yu Su, Huan Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models
Tianqi Chen, Shujian Zhang, Mingyuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Score-based Self-supervised MRI Denoising
Jiachen Tu, Yaokun Shi, Fan Lam
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Score-based free-form architectures for high-dimensional Fokker-Planck equations
Feng Liu, Faguo Wu, Xiao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning
Hai Zhang, Boyuan Zheng, Tianying Ji, Jinhang Liu, Anqi Guo, Junqiao Zhao, Lanqing Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction
Lu Dai, Yijie Xu, Jinhui Ye, Hao Liu, Hui Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins
Jongwoo Ko, Saket Dingliwal, Bhavana Ganesh, Sailik Sengupta, Sravan Babu Bodapati, Aram Galstyan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Searching for Optimal Solutions with LLMs via Bayesian Optimization
Dhruv Agarwal, Manoj Ghuhan Arivazhagan, Rajarshi Das, Sandesh Swamy, Sopan Khosla, Rashmi Gangadharaiah
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Second Order Bounds for Contextual Bandits with Function Approximation
Aldo Pacchiano
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer
Yanjun Zhao, Sizhe Dang, Haishan Ye, Guang Dai, Yi Qian, Ivor Tsang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Second-Order Min-Max Optimization with Lazy Hessians
Lesi Chen, Chengchang Liu, Jingzhao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SecureGS: Boosting the Security and Fidelity of 3D Gaussian Splatting Steganography
Xuanyu Zhang, Jiarui Meng, Zhipei Xu, Shuzhou Yang, Yanmin Wu, Ronggang Wang, Jian Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
See It from My Perspective: How Language Affects Cultural Bias in Image Understanding
Amith Ananthram, Elias Stengel-Eskin, Mohit Bansal, Kathleen McKeown
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
See What You Are Told: Visual Attention Sink in Large Multimodal Models
Seil Kang, Jinyeong Kim, Junhyeok Kim, Seong Jae Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators
Rasoul Shafipour, David Harrison, Maxwell Horton, JEFFREY MARKER, Houman Bedayat, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi, Saman Naderiparizi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models
Ángela López-Cardona, Carlos Segura, Alexandros Karatzoglou, Sergi Abadal, Ioannis Arapakis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SegLLM: Multi-round Reasoning Segmentation with Large Language Models
Xudong Wang, Shaolun Zhang, Shufan Li, Kehan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, trevor darrell
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Segment Any 3D Object with Language
Seungjun Lee, Yuyang Zhao, Gim H Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SelKD: Selective Knowledge Distillation via Optimal Transport Perspective
Liangliang Shi, Zhengyan Shi, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Select before Act: Spatially Decoupled Action Repetition for Continuous Control
Buqing Nie, Yangqing Fu, Yue Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SelectFormer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation
Xu Ouyang, Felix Xiaozhu Lin, Yangfeng Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie Fan, Feifei Wang, Liangqiong Qu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Selective Attention Improves Transformer
Yaniv Leviathan, Matan Kalman, Yossi Matias
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Selective Label Enhancement Learning for Test-Time Adaptation
Yihao Hu, Congyu Qiao, Xin Geng, Ning Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Selective Task Group Updates for Multi-Task Optimization
Wooseong Jeong, Kuk-Jin Yoon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Selective Unlearning via Representation Erasure Using Domain Adversarial Training
Nazanin Sepahvand, Eleni Triantafillou, Hugo Larochelle, Doina Precup, Jim Clark, Dan Roy, Gintare Karolina Dziugaite
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Selective induction Heads: How Transformers Select Causal Structures in Context
Francesco D'Angelo, francesco croce, Nicolas Flammarion
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Self-Attention-Based Contextual Modulation Improves Neural System Identification
Isaac Lin, Tianye Wang, Shang Gao, Tang Shiming, Tai Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Self-Boosting Large Language Models with Synthetic Preference Data
Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models
Ce Zhang, Zifu Wan, Zhehan Kan, Martin Q. Ma, Simon Stepputtis, Deva Ramanan, Russ Salakhutdinov, Louis-Philippe Morency, Katia Sycara, Yaqi Xie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Self-Evolving Multi-Agent Collaboration Networks for Software Development
Yue Hu, Yuzhu Cai, Yaxin Du, Xinyu Zhu, Xiangrui Liu, Zijie Yu, Yuchen Hou, Shuo Tang, Siheng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Self-Improvement in Language Models: The Sharpening Mechanism
Audrey Huang, Adam Block, Dylan Foster, Dhruv Rohatgi, Cyril Zhang, Max Simchowitz, Jordan Ash, Akshay Krishnamurthy
Machine Learning
日本大学: 関与なし（対象大学）