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
Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing GuidanceYujie Wei, Shiwei Zhang, Hangjie Yuan, Yujin Han, Zhekai Chen, Jiayu Wang, Difan Zou, Xihui Liu, yingya zhang, Yu Liu, Hongming Shan
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Routing, Cascades, and User Choice for LLMsRafid Mahmood
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Rubrics as Rewards: Reinforcement Learning Beyond Verifiable DomainsAnisha Gunjal, Anthony Wang, Elaine Lau, Vaskar Nath, Yunzhong He, Bing Liu, Sean Hendryx
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic SamplingYang Liu, Jiaqi Li, Zilong Zheng
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Rényi Sharpness: A Novel Sharpness that Strongly Correlates with GeneralizationQiaozhe Zhang, Jun Sun, Yingzhuang Liu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
S2GO: Streaming Sparse Gaussian OccupancyJinhyung Park, Chensheng Peng, yihan hu, Wenzhao Zheng, Kris Kitani, Wei Zhan
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
S2R-HDR: A Large-Scale Rendered Dataset for HDR FusionYujin Wang, Jiarui Wu, Yichen Bian, Fan Zhang, Tianfan Xue
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
S3OD: Towards Generalizable Salient Object Detection with Synthetic DataOrest Kupyn, Hirokatsu Kataoka, Christian Rupprecht
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SABRE-FL: Selective and Accurate Backdoor Rejection for Federated Prompt LearningMomin Khan, Yasra Chandio, Fatima Anwar
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SAC Flow: Sample-Efficient Reinforcement Learning of Flow-Based Policies via Velocity-Reparameterized Sequential ModelingYixian Zhang, Shu-ang Yu, Tonghe Zhang, Mo Guang, Haojia Hui, Kaiwen Long, Yu Wang, Chao Yu, Wenbo Ding
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SAE as a Crystal Ball: Interpretable Features Predict Cross-domain Transferability of LLMs without TrainingQi Zhang, Yifei Wang, Xiaohan Wang, Jiajun Chai, Guojun Yin, Wei Lin, Yisen Wang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SAES-SVD: Self-Adaptive Suppression of Accumulated and Local Errors for SVD-based LLM CompressionXing Hu, Dawei Yang, Yuan Cheng, Zhixuan Chen, Zukang Xu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural NetworkHuijing Zhang, Muyang Cao, Linshan Jiang, Xin Du, Di Yu, Changze Lv, Shuiguang Deng
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SAFER: Risk-Constrained Sample-then-Filter in Large Language ModelsQingni Wang, Yue Fan, Xin Wang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SAFETY-GUIDED FLOW (SGF): A UNIFIED FRAMEWORK FOR NEGATIVE GUIDANCE IN SAFE GENERATIONMingyu Kim, Young-Heon Kim, Mijung Park
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SAGA: Structural Aggregation Guided Alignment with Dynamic View and Neighborhood Order Selection for Multiview Graph Domain AdaptationRuiyi Fang, Jingyu Zhao, Shuo Wang, Ruizhi Pu, Bingheng Li, Jiale Cai, Zhihao Li, Zihao Jing, Jian Zhu, Song Tang, Charles Ling, Boyu Wang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SAGE: Spatial-visual Adaptive Graph Exploration for Efficient Visual Place RecognitionShunpeng Chen, Changwei Wang, Rongtao Xu, xingtianPei, yukun Song, Jinzhou Lin, Wenhao Xu, jingyizhang, Li Guo, Shibiao Xu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SAIL: Self-Amplified Iterative Learning for Diffusion Model Alignment with Minimal Human FeedbackXiaoxuan He, Siming Fu, Wanli Li, Zhiyuan Li, Dacheng Yin, Kang Rong, Fengyun Rao, Bo Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SAIR: Enabling Deep Learning for Protein-Ligand Interactions with a Synthetic Structural DatasetPablo Lemos, Zane Beckwith, Sasaank Bandi, Maarten Van Damme, Jordan Crivelli-Decker, Benjamin Shields, Thomas Merth, Punit Jha, Nicola De Mitri, Tiffany Callahan, AJ Nish, Paul Abruzzo, Romelia Salomon-Ferrer, Martin Ganahl
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SAM 3: Segment Anything with ConceptsNicolas Carion, Laura Gustafson, Yuan-Ting Hu, Shoubhik Debnath, Ronghang Hu, Didac Suris Coll-Vinent, Chaitanya Ryali, Kalyan Vasudev Alwala, Haitham Khedr, Andrew Huang, Jie Lei, Tengyu Ma, Baishan Guo, Arpit Kalla, Markus Marks, Joseph Greer, Meng Wang, Peize Sun, Roman Rädle, Triantafyllos Afouras, Effrosyni Mavroudi, Katherine Xu, Tsung-Han Wu, Yu Zhou, Liliane Momeni, RISHI HAZRA, Shuangrui Ding, Sagar Vaze, Francois Porcher, Feng Li, Siyuan Li, Aishwarya Kamath, Ho Kei Cheng, Piotr Dollar, Nikhila Ravi, Kate Saenko, Pengchuan Zhang, Christoph Feichtenhofer
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SAM-Veteran: An MLLM-Based Human-like SAM Agent for Reasoning SegmentationTianyuan Du, Haopeng Li, Zhen Fan, Jiarui Zhang, Panwang Pan, Yang Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SANA-Video: Efficient Video Generation with Block Linear Diffusion TransformerJunsong Chen, Yuyang Zhao, Jincheng YU, Ruihang Chu, Junyu Chen, Shuai Yang, Xianbang Wang, Yicheng Pan, Zhou Daquan, Huan Ling, Haozhe Liu, Hongwei Yi, Hao Zhang, Muyang Li, Yukang Chen, Han Cai, Sanja Fidler, Ping Luo, Song Han, Enze Xie
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SAQ: Stabilizer-Aware Quantum Error Correction DecoderDavid Zenati, Eliya Nachmani
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SARM: Stage-Aware Reward Modeling for Long Horizon Robot ManipulationQianzhong Chen, Justin Yu, Mac Schwager, Pieter Abbeel, Fred Shentu, Philipp Wu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SASFT: Sparse Autoencoder-guided Supervised Finetuning to Mitigate Unexpected Code-Switching in LLMsBoyi Deng, Yu Wan, Baosong Yang, Fei Huang, Wenjie Wang, Fuli Feng
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SAVE: A Generalizable Framework for Multi-Condition Single-Cell Generation with Gene Block AttentionJiahao Li, Jiayi Dong, Peng Ye, Xiaochi Zhou, Haohai Lu, Fei Wang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SC-Arena: A Natural Language Benchmark for Single-Cell Reasoning with Knowledge-Augmented EvaluationJiahao Zhao, Feng Jiang, Shaowei Qin, Zhonghui Zhang, Junhao Liu, Guibing Guo, Hamid Alinejad-Rokny, Min Yang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SCAD: Super-Class-Aware Debiasing for Long-Tailed Semi-Supervised LearningSunguk Jang, Jinwoo Jeon, Byung-Jun Lee
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SCI-Verifier: Scientific Verifier with ThinkingShenghe Zheng, Chenyu Huang, Fangchen Yu, Junchi Yao, Jingqi Ye, Tao Chen, Yun Luo, Ning Ding, LEI BAI, Ganqu Cui, Peng Ye
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SCOPED: Score–Curvature Out-of-distribution Proximity Evaluator for DiffusionBrett Barkley, Preston Culbertson, David Fridovich-Keil
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SCRAPL: Scattering Transform with Random Paths for Machine LearningChristopher Mitcheltree, Vincent Lostanlen, Emmanouil Benetos, Mathieu Lagrange
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SCRIBES: Web-Scale Script-Based Semi-Structured Data Extraction with Reinforcement LearningShicheng Liu, Kai Sun, Lisheng Fu, Xilun Chen, Xinyuan Zhang, Zhaojiang Lin, Rulin Shao, Yue Liu, Anuj Kumar, Scott Yih, Xin Dong
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SCUBA: Salesforce Computer Use BenchmarkYutong Dai, Krithika Ramakrishnan, Jing Gu, Matthew Fernandez, Yanqi Luo, Viraj Prabhu, Zhenyu Hu, silvio savarese, Caiming Xiong, Zeyuan Chen, Ran Xu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SCoT: Teaching 3D-LLMs to Think Spatially with Million-scale CoT AnnotationsJinpeng Li, Haiping Wang, Jiabin chen, Yuan Liu, Zhen Dong, Bisheng Yang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SDErasure: Concept-Specific Trajectory Shifting for Concept Erasure via Adaptive Diffusion ClassifierFengyuan Miao, Shancheng Fang, Lingyun Yu, Yadong Qu, Yuhao Sun, Xiaorui Wang, Hongtao Xie
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SE-Diff: Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG GenerationXiaoda Wang, Kaiqiao Han, Yuhao Xu, Xiao Luo, Yizhou Sun, Wei Wang, Carl Yang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SEED-SET: Scalable Evolving Experimental Design for System-level Ethical TestingAnjali Parashar, Yingke Li, Eric Yu, Fei Chen, James Neidhoefer, devesh upadhyay, Chuchu Fan
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SEED: Towards More Accurate Semantic Evaluation for Visual Brain DecodingJuhyeon Park, Peter Kim, Jiook Cha, Shinjae Yoo, Taesup Moon
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SELF-HARMONY: LEARNING TO HARMONIZE SELF-SUPERVISION AND SELF-PLAY IN TEST-TIME REINFORCEMENT LEARNINGRu Wang, Wei Huang, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo
Machine Learning
日本大学: 東京大学
2026 · ICLR
SEMA: Simple yet Effective Learning for Multi-Turn Jailbreak AttacksMingqian Feng, Xiaodong Liu, Weiwei Yang, Jialin Song, Xuekai Zhu, Chenliang Xu, Jianfeng Gao
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SERE: Similarity-based Expert Re-routing for Efficient Batch Decoding in MoE ModelsJuntong Wu, Jialiang Cheng, Fuyu Lv, Dan Ou, Li Yuan
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SERQ: Saliency-Aware Low-Rank Error Reconstruction for LLM QuantizationYeonsik Park, Hyeonseong Kim, Seungkyu Choi
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SERUM: Simple, Efficient, Robust, and Unifying Marking for Diffusion-based Image GenerationJan Kociszewski, Hubert Jastrzębski, Tymoteusz Stępkowski, Filip Manijak, Krzysztof Rojek, Franziska Boenisch, Adam Dziedzic
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing FlowsJanik Kreit, Dominic Schuh, Kim A. Nicoli, Lena Funcke
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samplesHaoye Lu, Yaoliang Yu, Darren Lo
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SFT Doesn’t Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMsJiacheng Lin, Zhongruo Wang, Kun Qian, Tian Wang, Arvind Srinivasan, Hansi Zeng, Ruochen Jiao, Xie Zhou, Jiri Gesi, Dakuo Wang, Yufan Guo, Kai Zhong, Weiqi Zhang, sujay sanghavi, Changyou Chen, Hyokun Yun, Lihong Li
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SGD with Adaptive Preconditioning: Unified Analysis and Momentum AccelerationDmitry Kovalev
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SGD-Based Knowledge Distillation with Bayesian Teachers: Theory and GuidelinesItai Morad, Nir Shlezinger, Yonina Eldar
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SHAPO: Sharpness-Aware Policy Optimization for Safe ExplorationKaustubh Mani, Yann Pequignot, Vincent Mai, Liam Paull
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRAJianmin Liu, Li Yan, Borui Li, Lei Yu, Chao Shen
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SHIELD: Suppressing Hallucinations In LVLM Encoders via Bias and Vulnerability DefenseYiyang Huang, Liang Shi, Yitian Zhang, Yi Xu, Yun Fu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SIGMA-Gen: Structure and Identity Guided Multi-Subject Assembly for Image GenerationOindrila Saha, Vojtech Krs, Radomir Mech, Subhransu Maji, Kevin Blackburn-Matzen, Matheus Gadelha
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SIGMark: Scalable In-Generation Watermark with Blind Extraction for Video DiffusionXinjie zhu, Zijing Zhao, Hui Jin, Qingxiao Guo, Yilong Ma, YUNHAO WANG, Xiaobing Guo, Weifeng Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SIM-CoT: Supervised Implicit Chain-of-ThoughtXilin Wei, Xiaoran Liu, Yuhang Zang, Xiaoyi Dong, Yuhang Cao, Jiaqi Wang, Xipeng Qiu, Dahua Lin
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SIPDO: Closed-Loop Prompt Optimization via Synthetic Data FeedbackYaoning Yu, Ye Yu, Peiyan Zhang, Kai Wei, Haojing Luo, Haohan Wang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SK2Decompile: LLM-based Two-Phase Binary Decompilation from Skeleton to Skinhanzhuo Tan, Weihao Li, Xiaolong Tian, Siyi Wang, Jiaming Liu, Jing Li, Yuqun Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear AttentionJintao Zhang, Haoxu Wang, Kai Jiang, Shuo Yang, Kaiwen Zheng, Haocheng Xi, Ziteng Wang, Hongzhou Zhu, Min Zhao, Ion Stoica, Joseph E Gonzalez, Jianfei Chen, Jun Zhu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SLAP: Shortcut Learning for Abstract PlanningY. Isabel Liu, Bowen Li, Benjamin Eysenbach, Tom Silver
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SLM-MUX: Orchestrating Small Language Models for ReasoningChenyu Wang, Zishen Wan, Hao Kang, Emma Chen, Zhiqiang Xie, Tushar Krishna, Vijay Janapa Reddi, Yilun Du
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SMAN-Bench: A Cross-System Benchmark for Mobile Agents under Single- and Multi-path, Ambiguous, and Noisy TasksWeikai Xu, Zhizheng Jiang, Yuxuan Liu, Pengzhi Gao, WEI LIU, Jian Luan, Yunxin Liu, Yuanchun Li, Bin Wang, Bo An
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SMOTE and Mirrors: Exposing Privacy Leakage from Synthetic Minority OversamplingGeorgi Ganev, MohammadReza Nazari, Rees Davison, Amirhassan Dizche, XINMIN WU, Ralph Abbey, Jorge Silva, Emiliano De Cristofaro
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SMixer: Rethinking Efficient-Training and Event-Driven SNNsYijie Lu, Xinhao Luo, Yixing Zhang, Zhiyan Wang, Wentao Li, Yanhan Wang, Zhi Liu, Zhaokun Zhou, Guoqi Li
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyMLIsmail Lamaakal, Chaymae Yahyati, Khalid Makkaoui, Ibrahim Ouahbi, Yassine Maleh
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SNAPHARD CONTRAST LEARNINGChangpu Meng, Jie Yang, Wanqing Li, Yi Guo
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SONA: Learning Conditional, Unconditional, and Matching-Aware DiscriminatorYuhta Takida, Satoshi Hayakawa, Takashi Shibuya, Masaaki Imaizumi, Naoki Murata, Bac Nguyen, Toshimitsu Uesaka, Chieh-Hsin Lai, Yuki Mitsufuji
Machine Learning
日本大学: 東京大学
2026 · ICLR
SONATA: Synergistic Coreset Informed Adaptive Temporal Tensor FactorizationMaolin WANG, Zhiqi Li, Binhao Wang, Xuhui Chen, Tianshuo Wei, Wanyu Wang, Shikai Fang, Ruocheng Guo, Zenglin Xu, Xiangyu Zhao
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SONIC: Spectral Oriented Neural Invariant ConvolutionsGijs Moens, Regina Beets-Tan, Eduardo Pooch
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SP-VLA: A Joint Model Scheduling and Token Pruning Approach for VLA Model AccelerationYe Li, Yuan Meng, Zewen Sun, Kangye Ji, Chen Tang, Jiajun Fan, Xinzhu Ma, Shu-Tao Xia, Zhi Wang, Wenwu Zhu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SPACeR: Self-Play Anchoring with Centralized Reference ModelsWei-Jer Chang, Akshay Rangesh, Kevin Joseph, Matthew Strong, Masayoshi Tomizuka, yihan hu, Wei Zhan
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SPARTA: Scalable and Principled Benchmark of Tree-Structured Multi-hop QA over Text and TablesSungho Park, Jueun Kim, Wook-Shin Han
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SPECS: Decoupling Multimodal Learning via Self-distilled Preference-based Cold StartKun Chen, Peng Shi, Haibo Qiu, Zhixiong Zeng, Siqi Yang, Wenji Mao, Lin Ma
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion ModelsOuxiang Li, Yuan Wang, Xinting Hu, Houcheng Jiang, Jack tao, Yanbin Hao, James Ma, Fuli Feng
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SPELL: Self-Play Reinforcement Learning for Evolving Long-Context Language ModelsZiyi Yang, Weizhou Shen, Chenliang Li, Ruijun Chen, Fanqi Wan, Ming Yan, Xiaojun Quan, Fei Huang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SPG: Sandwiched Policy Gradient for Masked Diffusion Language ModelsChenyu Wang, Paria Rashidinejad, Andy (DiJia) Su, Song Jiang, Sid Wang, Siyan Zhao, Cai Zhou, Shannon Shen, Feiyu Chen, Tommi Jaakkola, Yuandong Tian, Bo Liu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SPICE: Submodular Penalized Information–Conflict Selection for Efficient Large Language Model TrainingPowei Chang, Jinpeng Zhang, Bowen Chen, Chenyu Wang, Chenlu Guo, Yixing Zhang, Yukang Gao, JianXiang Xiang, Yue Gao, Chaoqun Sun, Yiyi Chen, Dongying kong
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SPIKE-RL: Video-LLMs meet Bayesian SurpriseSahithya Ravi, Aditya Chinchure, Raymond Ng, Leonid Sigal, Vered Shwartz
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement LearningBo Liu, Simon Yu, Zichen Liu, Leon Guertler, Penghui Qi, Daniel Balcells, Mickel Liu, Cheston Tan, Weiyan Shi, Min Lin, Wee Sun Lee, Natasha Jaques
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SPR$^2$Q: Static Priority-based Rectifier Routing Quantization for Image Super-ResolutionJingwei Xin, Wenhao Li, Nannan Wang, Jie Li, Xinbo Gao
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive DiffusionSedjro Salomon Hotegni, Sebastian Peitz
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SPRIG: Improving Large Language Model Performance by System Prompt OptimizationLechen Zhang, Tolga Ergen, Lajanugen Logeswaran, Moontae Lee, David Jurgens
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SPRINT: Sparse-Dense Residual Fusion for Efficient Diffusion TransformersDogyun Park, Moayed Haji-Ali, Yanyu Li, Willi Menapace, Sergey Tulyakov, Hyunwoo Kim, Aliaksandr Siarohin, Anil Kag
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SPWOOD: Sparse Partial Weakly-Supervised Oriented Object Detectionwei zhang, Xiang Liu, Ningjing Liu, Mingxin Liu, Wei Liao, Chunyan Xu, Xue Yang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SR-Scientist: Scientific Equation Discovery With Agentic AIShijie Xia, Yuhan Sun, Pengfei Liu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for ReasoningYuqian Fu, Tinghong Chen, Jiajun Chai, Xihuai Wang, Songjun Tu, Guojun Yin, Wei Lin, Qichao Zhang, Yuanheng Zhu, Dongbin Zhao
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SRT: Super-Resolution for Time Series via Disentangled Rectified FlowJufang Duan, Shenglong Xiao, Yuren Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SSD-GS: Scattering and Shadow Decomposition for Relightable 3D Gaussian SplattingIris Zheng, Guojun Tang, Alexander Doronin, Paul Teal, Fang-Lue Zhang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SSDi8: Accurate and Efficient 8-bit Quantization for State Space DualityHyunwoo Kim, BYOUNGCHAN KO, Minseok Kang, Minwoo Kim, Dongjin Lee, Jaehoon Lee, Sungroh Yoon, Dahuin Jung
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SSG: Scaled Spatial Guidance for Multi-Scale Visual Autoregressive GenerationYoungwoo Shin, jiwan hur, Junmo Kim
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
SSVPO: Effective Step-Level Credit Assignment for RL Training of Language ModelsYugu Li, Zehong Cao, Jianglin Qiao, Siyi Hu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ST-HHOL: Spatio-Temporal Hierarchical Hypergraph Online Learning for Crime PredictionKeqing Du, Yufan Kang, Xinyu Yang, Wei Shao
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ST-SimDiff: Balancing Spatiotemporal Similarity and Difference for Efficient Video Understanding with MLLMsBingjun Luo, Tony Wang, Chaoqi Chen, Xinpeng Ding
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web AgentsIdo Levy, Ben wiesel, Sami Marreed, Alon Oved, Avi Yaeli, Segev Shlomov
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
STABLE: Shift-Tolerant Allocation via Black-Litterman Using Conditional Diffusion EstimatesYEJUN SOUN, Hosung Lee, Suyoung Park, U Kang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
STAIRS-Former: Spatio-Temporal Attention with Interleaved Recursive Structure TransFormer for Offline Mulit-task Multi-agent Reinforcement LearningJiwon Jeon, Myungsik Cho, Youngchul Sung
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
STAR-Bench: Probing Deep Spatio-Temporal Reasoning as Audio 4D IntelligenceZihan Liu, Zhikang Niu, Qiuyang Xiao, Zhisheng Zheng, Ruoqi Yuan, Yuhang Zang, Yuhang Cao, Xiaoyi Dong, Jianze Liang, Xie Chen, Leilei Sun, Dahua Lin, Jiaqi Wang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
STAR: Similarity-guided Teacher-Assisted Refinement for Super-Tiny Function Calling ModelsJiliang Ni, Jiachen Pu, Zhongyi Yang, Jingfeng Luo, Conggang Hu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
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日本大学: 関与なし(対象大学)
2026 · ICLR
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日本大学: 関与なし(対象大学)
2026 · ICLR
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日本大学: 関与なし(対象大学)
2026 · ICLR
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日本大学: 関与なし(対象大学)