ICLR

2022–2026 LIVE

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Machine Learning

2026 · 5,351 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。

2026 · ICLR
STEDiff: Revealing the Spatial and Temporal Redundancy of Backdoor Attacks in Text-to-Image Diffusion Models
Yu Pan, Jiahao Chen, Lin Wang, Bingrong Dai, Wenjie Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
STEER AWAY FROM MODE COLLISIONS: IMPROVING COMPOSITION IN DIFFUSION MODELS
Debottam Dutta, Jianchong Chen, Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
STEM: SCALING TRANSFORMERS WITH EMBEDDING MODULES
Ranajoy Sadhukhan, Sheng Cao, Harry Dong, Changsheng Zhao, Attiano Purpura-Pontoniere, Yuandong Tian, Zechun Liu, Beidi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
STITCH: Simultaneous Thinking and Talking with Chunked Reasoning for Spoken Language Models
Cheng-Han Chiang, Xiaofei Wang, Linjie Li, Chung-Ching Lin, Kevin Lin, Shujie LIU, Zhendong Wang, Zhengyuan Yang, Hung-yi Lee, Lijuan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
STORK: Faster Diffusion and Flow Matching Sampling by Resolving both Stiffness and Structure-Dependence
Zheng Tan, Weizhen Wang, Andrea Bertozzi, Ernest Ryu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
STORM: Synergistic Cross-Scale Spatio-Temporal Modeling for Weather Forecasting
Qihe Huang, Zhengyang Zhou, Yangze Li, Jiaming Ma, Kuo Yang, Binwu Wang, Xu Wang, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
STVG-R1: Incentivizing Instance-Level Reasoning and Grounding in Videos via Reinforcement Learning
Xiaowen Zhang, Zhi Gao, Licheng Jiao, Lingling Li, Qing Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
STaMP: Sequence Transformation and Mixed Precision for Low-Precision Activation Quantization
Marco Federici, Riccardo Del Chiaro, Boris van Breugel, Paul Whatmough, Markus Nagel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer
Yushi LAN, Yihang Luo, Fangzhou Hong, Shangchen Zhou, Honghua Chen, Zhaoyang Lyu, Bo DAI, Shuai Yang, Chen Change Loy, Xingang Pan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SUIT: Knowledge Editing with Subspace-Aware Key-Value Mappings
Haewon Park, Sangwoo Kim, Yohan Jo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SURGE: Surprise-Guided Token Reduction for Efficient Video Understanding with VLMs
Chong Tang, Sannara Ek, Dirk Koch, Robert Mullins, Alex Weddell, Jagmohan Chauhan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SUSD: Structured Unsupervised Skill Discovery through State Factorization
Seyed Mohammad Hadi Hosseini, Mahdieh Baghshah
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SVD Provably Denoises Nearest Neighbor Data
Ravindran Kannan, Kijun Shin, David Woodruff
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SWE-RM: Execution-free Feedback for Software Engineering Agents
KaShun SHUM, Binyuan Hui, Jiawei Chen, Lei Zhang, X. W., Jiaxi Yang, Yuzhen Huang, Junyang Lin, Junxian He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SWERank: Software Issue Localization with Code Ranking
Revanth Gangi Reddy, Tarun Suresh, JaeHyeok Doo, Ye Liu, Xuan-Phi Nguyen, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Heng Ji, Shafiq Joty
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SWINGARENA: Adversarial Programming Arena for Long-context GitHub Issue Solving
Wendong XU, Jing Xiong, Chenyang Zhao, Qiujiang Chen, Haoran Wang, Hui Shen, Zhongwei Wan, Jianbo Dai, Taiqiang Wu, He Xiao, Chaofan Tao, Zhuoqing Mao, Ying Sheng, Zhijiang Guo, Hongxia Yang, Bei Yu, Lingpeng Kong, Quanquan Gu, Ngai Wong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SYNC: Measuring and Advancing Synthesizability in Structure-Based Drug Design
Yunfan Liu, Lirong Wu, Zhifeng Gao, Yufei Huang, Cheng Tan, Haitao Lin, Zicheng Liu, Changxi Chi, Chang Yu, Stan Z Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Saddle-To-Saddle Dynamics in Deep ReLU Networks: Low-Rank Bias in the First Saddle Escape
Ioannis Bantzis, James Simon, Arthur Jacot
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Saddle-to-Saddle Dynamics Explains A Simplicity Bias Across Neural Network Architectures
Yedi Zhang, Andrew Saxe, Peter Latham
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Safe Continuous-time Multi-Agent Reinforcement Learning via Epigraph Form
Xuefeng Wang, Lei Zhang, Henglin Pu, Husheng Li, Ahmed Hussain Qureshi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Safe Exploration via Policy Priors
Manuel Wendl, Yarden As, Manish Prajapat, Anton Pollak, Stelian Coros, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SafeDPO: A Simple Approach to Direct Preference Optimization with Enhanced Safety
Geon-Hyeong Kim, Yu Jin Kim, Byoungjip Kim, Honglak Lee, Kyunghoon Bae, Youngsoo Jang, Moontae Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SafeDialBench: A Fine-Grained Safety Evaluation Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak Attacks
Hongye Cao, Sijia Jing, Yanming Wang, Ziyue Peng, Zhixin Bai, Zhe Cao, Meng Fang, Fan Feng, JIAHENG LIU, Boyan Wang, Tianpei Yang, Jing Huo, Yang Gao, Fanyu Meng, Xi Yang, Chao Deng, Junlan Feng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SafeFlowMatcher: Safe and Fast Planning using Flow Matching with Control Barrier Functions
Jeongyong Yang, Seunghwan Jang, SooJean Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SafeMPO: Constrained Reinforcement Learning with Probabilistic Incremental Improvement
Alexander Mattick, Dominik Seuß, Christopher Mutschler
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SafeMoE: Safe Fine-Tuning for MoE LLMs by Aligning Harmful Input Routing
Jaehan Kim, Minkyoo Song, Seungwon Shin, Sooel Son
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Safeguarding Multimodal Knowledge Copyright in the RAG-as-a-Service Environment
Tianyu Chen, Jian Lou, Wenjie Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Safety Instincts: LLMs Learn to Trust Their Internal Compass for Self-Defense
Guobin Shen, Dongcheng Zhao, Haibo Tong, Jindong Li, Feifei Zhao, Yi Zeng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning
Yiwei Chen, Yuguang Yao, Yihua Zhang, Bingquan Shen, Gaowen Liu, Sijia Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Safety Subspaces are Not Linearly Distinct: A Fine-Tuning Case Study
Kaustubh Ponkshe, Shaan Shah, Raghav Singhal, Praneeth Vepakomma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Safety at One Shot: Patching Fine-Tuned LLMs with A Single Instance
Jiawen Zhang, Lipeng He, Kejia Chen, Jian Lou, Jian Liu, Xiaohu Yang, Ruoxi Jia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Salient Object Ranking via Cyclical Perception-Viewing Interaction Modeling
Rongjin Guo, Ke Xu, Rynson W Lau
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Same Content, Different Representations: A Controlled Study for Table QA
Yue Zhang, Seiji Maekawa, Nikita Bhutani
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sample Complexity and Representation Ability of Test-time Scaling Paradigms
Baihe Huang, Shanda Li, Tianhao Wu, Yiming Yang, Ameet Talwalkar, Kannan Ramchandran, Michael Jordan, Jiantao Jiao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sample Efficient Offline RL via T-Symmetry Enforced Latent State-Stitching
Peng Cheng, Zhihao Wu, Jianxiong Li, Ziteng He, Haoran Xu, Wei Sun, Youfang Lin, Yunxin Liu, Xianyuan Zhan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sample Lottery: Unsupervised Discovery of Critical Instances for LLM Reasoning
Zhiping Xiao, Yusheng Zhao, Qixin ZHANG, Jiaye Xie, Wanjia Zhao, Weizhi Zhang, Xiao Luo, Philip Yu, Ming Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning
Vaishnavi Shrivastava, Ahmed H Awadallah, Vidhisha Balachandran, Shivam Garg, Harkirat Behl, Dimitris Papailiopoulos
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sample Reward Soups: Query-efficient Multi-Reward Guidance for Text-to-Image Diffusion Models
Yinghua Yao, Yuangang Pan, Guoji Fu, Ivor Tsang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sample Smart, Not Hard: Correctness-First Decoding for Better Reasoning in LLMs
Xueyan Li, Guinan Su, Mrinmaya Sachan, Jonas Geiping
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sample-Efficient Distributionally Robust Multi-Agent Reinforcement Learning via Online Interaction
Zain Ulabedeen Farhat, Debamita Ghosh, George Atia, Yue Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sample-efficient and Scalable Exploration in Continuous-Time RL
Klemens Iten, Lenart Treven, Bhavya, Florian Dorfler, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sample-efficient evidence estimation of score based priors for model selection
Frederic Wang, Katherine Bouman
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Samples Are Not Equal: A Sample Selection Approach for Deep Clustering
Zhengxing Jiao, Yaxin Hou, Jun Ma, Yuhang Li, Ding Ding, Yuheng Jia, Hui LIU, Junhui Hou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sampling Complexity of TD and PPO in RKHS
LU ZOU, Wendi Ren, WEIZHONG ZHANG, Liang Ding, Shuang Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sampling-aware Adversarial Attacks Against Large Language Models
Tim Beyer, Yan Scholten, Leo Schwinn, Stephan Günnemann
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sapiens2
Rawal Khirodkar, He Wen, Julieta Martinez, Yuan Dong, Zhaoen Su, Shunsuke Saito
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sat3DGen: Comprehensive Street-Level 3D Scene Generation from Single Satellite Image
Ming Qian, Zimin Xia, Changkun Liu, Shuailei Ma, Wen Wang, Zeran Ke, Bin Tan, Hang Zhang, Gui-Song Xia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SatDreamer360: Multiview-Consistent Generation of Ground-Level Scenes from Satellite Imagery
Xianghui Ze, Beiyi Zhu, Zhenbo Song, Jianfeng Lu, Yujiao Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM Reasoning
Xichen Zhang, Sitong Wu, Yinghao Zhu, Haoru Tan, Shaozuo Yu, Ziyi He, Jiaya Jia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scalable Chain of Thoughts via Elastic Reasoning
Yuhui Xu, Hanze Dong, Lei Wang, Doyen Sahoo, Junnan Li, Caiming Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scalable Energy-Based Models via Adversarial Training: Unifying Discrimination and Generation
Xuwang Yin, Claire Zhang, Julie Steele, Nir Shavit, Tony Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scalable Exploration for High-Dimensional Continuous Control via Value-Guided Flow
Yunyue Wei, Chenhui Zuo, Yanan Sui
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scalable In-Context Q-Learning
Jinmei Liu, Fuhong Liu, Zhenhong Sun, Jianye Hao, Huaxiong Li, Bo Wang, Daoyi Dong, Chunlin Chen, Zhi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scalable Multi-Task Low-Rank Model Adaptation
Zichen Tian, Antoine Ledent, Qianru Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scalable Multilingual Multimodal Machine Translation with Speech-Text Fusion
Yexing Du, Youcheng Pan, Zekun Wang, Zheng Chu, yichong huang, Kaiyuan Liu, Bo Yang, Yang Xiang, Ming Liu, Bing Qin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scalable Offline Model-Based RL with Action Chunks
Kwanyoung Park, Seohong Park, Youngwoon Lee, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scalable Random Wavelet Features: Efficient Non-Stationary Kernel Approximation with Convergence Guarantees
Sawan Kumar, Souvik Chakraborty
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scalable Second-order Riemannian Optimization for $K$-means Clustering
Peng Xu, Chun Ying Hou, Xiaohui Chen, Richard Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics
Nima Shoghi, Yuxuan Liu, Yuning Shen, Rob Brekelmans, Pan Li, Quanquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization
Yifan Chang, Jie Qin, Limeng Qiao, Xiaofeng Wang, Zheng Zhu, Lin Ma, Xingang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scalable and Adaptive Trust-Region Learning via Projection Convex Hull
Hongyang Jia, Qingchun Hou, Bojun Du, Xiao Cai, Ning Zhang, Chongqing Kang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scale-wise Distillation of Diffusion Models
Nikita Starodubcev, Ilya Drobyshevskiy, Denis Kuznedelev, Artem Babenko, Dmitry Baranchuk
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data
Zhaoyang Liu, JingJing Xie, Zichen Ding, Zehao Li, Bowen Yang, Zhenyu Wu, Xuehui Wang, Qiushi Sun, Shi Liu, Weiyun Wang, Shenglong Ye, Qingyun Li, Zeyue Tian, Gen Luo, Xiangyu Yue, Biqing Qi, Kai Chen, Bowen Zhou, Yu Qiao, Qifeng Chen, Wenhai Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ScaleCap: Scalable Image Captioning via Dual-Modality Debiasing
Long Xing, Qidong Huang, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Jinsong Li, Shuangrui Ding, Weiming Zhang, Nenghai Yu, Jiaqi Wang, Feng Wu, Dahua Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ScaleLong: A Multi-Timescale Benchmark for Long Video Understanding
David Ma, Huaqing Yuan, Xingjian Wang, Qianbo ZANG, Tianci Liu, Xinyang He, Yanbin Wei, Jiawei Guo, nijiahui, Zhenzhu Yang, Meng Cao, Shanghaoran Quan, Yizhi Li, Wangchunshu Zhou, JIAHENG LIU, Wenhao Huang, Ge Zhang, Shiwen Ni, Xiaojie Jin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Agent Learning via Experience Synthesis
Zhaorun Chen, Zhuokai Zhao, Kai Zhang, Bo Liu, Qi Qi, Yifan Wu, Tarun Kalluri, Xuefei Cao, Yuanhao Xiong, Haibo Tong, Huaxiu Yao, Hengduo Li, Jiacheng Zhu, Xian Li, Dawn Song, Bo Li, Jason E Weston, Dat Huynh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Agents via Continual Pre-training
Liangcai Su, Zhen Zhang, Guangyu Li, Zhuo Chen, Chenxi Wang, Maojia Song, Xinyu Wang, Kuan Li, Jialong Wu, Xuanzhong Chen, Zile Qiao, Zhongwang Zhang, Huifeng Yin, Shihao Cai, Runnan Fang, Zhengwei Tao, Wenbiao Yin, Rui Ye, Yong Jiang, Ningyu Zhang, Pengjun Xie, Fei Huang, Kai Ye, Kewei Tu, Chenxiong Qian, Jingren Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute
Kieran Didi, Zuobai Zhang, Guoqing Zhou, Danny Reidenbach, Zhonglin Cao, Sooyoung Cha, Tomas Geffner, Christian Dallago, Jian Tang, Michael Bronstein, Martin Steinegger, Emine Kucukbenli, Arash Vahdat, Karsten Kreis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Attention via Feature Sparsity
Yan Xie, Tiansheng Wen, Tang Da Huang, Bo Chen, Chenyu You, Stefanie Jegelka, Yifei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Behavior of Discrete Diffusion Language Models
Dimitri von Rütte, Janis Fluri, Omead Pooladzandi, Bernhard Schölkopf, Thomas Hofmann, Antonio Orvieto
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Direct Feedback Learning with Jacobian Alignment Guarantees
Paul Caillon, Erwan Fagnou, Blaise Delattre, Alexandre Allauzen
Machine Learning
日本大学: 東京科学大学
2026 · ICLR
Scaling Generalist Data-Analytic Agents
Shuofei Qiao, Yanqiu Zhao, Zhisong Qiu, Xiaobin Wang, Jintian Zhang, Zhao Bin, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Goal-conditioned Reinforcement Learning with Multistep Quasimetric Distances
Bill Zheng, Vivek Myers, Benjamin Eysenbach, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Group Inference for Diverse and High-Quality Generation
Gaurav Parmar, Or Patashnik, Daniil Ostashev, Kuan-Chieh Wang, Kfir Aberman, Srinivasa Narasimhan, Jun-Yan Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Knowledge Editing in LLMs to 100,000 Facts with Neural KV Database
Weizhi Fei, Hao Shi, Jing Xu, Jingchen Peng, Jiazheng Li, Jingzhao Zhang, Bo Bai, Wei Han, zy chen, Xueyan Niu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Knowledge Graph Construction through Synthetic Data Generation and Distillation
Prafulla Kumar Choubey, Xin Su, Man Luo, XIANGYU PENG, Caiming Xiong, Tiep Le, Shachar Rosenman, Vasudev Lal, Phil Mui, Ricky Ho, Phillip Howard, Chien-Sheng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Large Vision-Language Model RL Training via Efficient Load Balancing
Zerui Wang, Qinghao Hu, Chang Chen, Jiecheng Zhou, Haojie Duanmu, Xingcheng Zhang, Peng Sun, Dahua Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs
Song Bian, Tao Yu, Shivaram Venkataraman, Youngsuk Park
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Laws Revisited: Modeling the Role of Data Quality in Language Model Pretraining
Anirudh Subramanyam, Yuxin Chen, Robert Grossman
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime
Leonardo Defilippis, Yizhou Xu, Julius Girardin, Vittorio Erba, Emanuele Troiani, Lenka Zdeborova, Bruno Loureiro, Florent Krzakala
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Laws and Symmetry, Evidence from Neural Force Fields
Nhat Khang Ngo, Siamak Ravanbakhsh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Laws for Diffusion Transformers
Zhengyang Liang, Hao He, Ceyuan Yang, Bo DAI
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Laws of SignSGD in Linear Regression: When Does It Outperform SGD?
Jihwan Kim, Dogyoon Song, Chulhee Yun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Linear Attention Capacity with Sparse State Expansion
Yuqi Pan, Yongqi An, Zheng Li, Yuhong Chou, Rui-Jie Zhu, Xiaohui Wang, Mingxuan Wang, Jinqiao Wang, Guoqi Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Multi-Task Bayesian Optimization with Large Language Models
Yimeng Zeng, Natalie Maus, Haydn Jones, Jeffrey Tao, Fangping Wan, Marcelo Der Torossian Torres, Cesar de la Fuente, Ryan Marcus, Osbert Bastani, Jacob Gardner
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Reasoning Hop Exposes Weaknesses: Demystifying and Improving Hop Generalization in Large Language Models
Zhaoyi Li, Jiatong Li, Gangwei Jiang, Linqi Song, Defu Lian, Ying Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Sequence-to-Sequence Generative Neural Rendering
Shikun Liu, Kam Woh Ng, Wonbong Jang, Jiadong Guo, Junlin Han, Haozhe Liu, Yiannis Douratsos, Juan Perez, Zijian Zhou, Khanh Chi Phung, Tao Xiang, Juan-Manuel Perez-Rua
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Speech Tokenizers with Diffusion Autoencoders
Yuancheng Wang, Zhenyu Tang, Yun Wang, Arthur Hinsvark, Yingru Liu, Yinghao Li, Kainan Peng, Junyi Ao, Mingbo Ma, Mike Seltzer, Qing He, Xubo Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Synthetic Task Generation for Agents via Exploration
Ram Ramrakhya, Andrew Szot, Omar Attia, Bogdan Mazoure, Anh Nguyen, Yuhao Yang, Zhe Gan, Harsh Agrawal, Alexander Toshev
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling Up, Speeding Up: A Benchmark of Speculative Decoding for Efficient LLM Test-Time Scaling
Shengyin Sun, Yiming Li, Xing Li, Yingzhao Lian, Weizhe Lin, Huiling Zhen, Zhiyuan Yang, Xianzhi Yu, Chen Chen, Mingxuan Yuan, Chen Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling up Memory for Robotic Control via Experience Retrieval
Ajay Sridhar, Jennifer Pan, Satvik Sharma, Chelsea Finn
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scaling with Collapse: Efficient and Predictable Training of LLM Families
Shane Bergsma, Bin Zhang, Nolan Dey, Shaheer Muhammad, Gurpreet Gosal, Joel Hestness
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ScalingCache: Extreme Acceleration of DiTs through Difference Scaling and Dynamic Interval Caching
Lihui Gu, Jingbin He, Lianghao Su, Kang He, Wenxiao Wang, Yuliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SceneCOT: Eliciting Grounded Chain-of-Thought Reasoning in 3D Scenes
Xiongkun Linghu, Jiangyong Huang, Ziyu Zhu, Baoxiong Jia, Siyuan Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SceneStreamer: Continuous Scenario Generation as Next Token Group Prediction
Zhenghao Peng, Yuxin Liu, Bolei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SceneTransporter: Optimal Transport-Guided Compositional Latent Diffusion for Single-Image Structured 3D Scene Generation
Ling Wang, Hao-Xiang Guo, Xinzhou Wang, Fuchun Sun, Kai Sun, Pengkun Liu, Hang Xiao, Zhong Wang, Guangyuan Fu, Eric Li, Yang Liu, Yikai Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation
Lu Ling, Chen-Hsuan Lin, Tsung-Yi Lin, Yifan Ding, Yu Zeng, Yichen Sheng, Yunhao Ge, Ming-Yu Liu, Aniket Bera, Max Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Scheduling Your LLM Reinforcement Learning with Reasoning Trees
Hong Wang, Zhezheng Hao, Jian Luo, Chenxing Wei, Yao Shu, Lei Liu, Qiang Lin, Hande Dong, Jiawei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sci2Pol: Evaluating and Fine-tuning LLMs on Scientific-to-Policy Brief Generation
Weimin Wu, Alexander Furnas, Eddie Yang, Gefei Liu, Akhil Pandey Akella, Xuefeng Song, Dashun Wang, Han Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SciNav: A General Agent Framework for Scientific Coding Tasks
Tianshu Zhang, Huan Sun
Machine Learning
日本大学: 関与なし（対象大学）