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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
Spectral Compressive Imaging via Unmixing-driven Subspace Diffusion Refinement
Haijin Zeng, Benteng Sun, Yongyong Chen, Jingyong Su, Yong Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows
Shuhao Cao, Francesco Brarda, Ruipeng Li, Yuanzhe Xi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Spectro-Riemannian Graph Neural Networks
Karish Grover, Haiyang Yu, Xiang song, Qi Zhu, Han Xie, Vassilis Ioannidis, Christos Faloutsos
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling
Wenda Xu, Rujun Han, Zifeng Wang, Long Le, Dhruv Madeka, Lei Li, William Wang, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
Zilong (Ryan) Wang, Zifeng Wang, Long Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Speech Robust Bench: A Robustness Benchmark For Speech Recognition
Muhammad Shah, David Solans Noguero, Mikko Heikkilä, Bhiksha Raj, Nicolas Kourtellis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Spherical Tree-Sliced Wasserstein Distance
Viet-Hoang Tran, Thanh Chu, Minh-Khoi Nguyen-Nhat, Trang Pham, Tam Le, Tan Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin SU, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida Wang, Tao Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
Xingrun Xing, Boyan Gao, Zheng Liu, David Clifton, Shitao Xiao, Wanpeng Zhang, Li Du, Zheng Zhang, Guoqi Li, Jiajun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Spiking Vision Transformer with Saccadic Attention
Shuai Wang, Malu Zhang, Dehao Zhang, Ammar Belatreche, Yichen Xiao, Yu Liang, Yimeng Shan, Qian Sun, Enqi Zhang, Yang Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SpinQuant: LLM Quantization with Learned Rotations
Zechun Liu, Changsheng Zhao, Igor Fedorov, Bilge Soran, Dhruv Choudhary, Raghuraman Krishnamoorthi, Vikas Chandra, Yuandong Tian, Tijmen Blankevoort
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SplatFormer: Point Transformer for Robust 3D Gaussian Splatting
Yutong Chen, Marko Mihajlovic, Xiyi Chen, Yiming Wang, Sergey Prokudin, Siyu Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SplineGS: Learning Smooth Trajectories in Gaussian Splatting for Dynamic Scene Reconstruction
Jihwan Yoon, Sangbeom Han, Jaeseok Oh, Minsik Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sports-Traj: A Unified Trajectory Generation Model for Multi-Agent Movement in Sports
Yi Xu, Yun Fu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment
Dongyoung Kim, Kimin Lee, Jinwoo Shin, Jaehyung Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Spreading Out-of-Distribution Detection on Graphs
Daeho Um, Jongin Lim, Sunoh Kim, Yuneil Yeo, Yoonho Jung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Spurious Forgetting in Continual Learning of Language Models
Junhao Zheng, Xidi Cai, Shengjie Qiu, Qianli Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget
Zihao Wang, Bin CUI, Shaoduo Gan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Stabilized Neural Prediction of Potential Outcomes in Continuous Time
Konstantin Hess, Stefan Feuerriegel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation
Eliot Xing, Vernon Luk, Jean Oh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning
Hung Le, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Stable Segment Anything Model
Qi Fan, Xin Tao, Lei Ke, Mingqiao Ye, Di ZHANG, Pengfei Wan, Yu-Wing Tai, Chi-Keung Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization
Zhitong Xu, Haitao Wang, Jeff Phillips, Shandian Zhe
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Standardizing Structural Causal Models
Weronika Ormaniec, Scott Sussex, Lars Lorch, Bernhard Schölkopf, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods
Buelent Uendes, Shujian Yu, Mark Hoogendoorn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
State Space Model Meets Transformer: A New Paradigm for 3D Object Detection
Chuxin Wang, Wenfei Yang, Xiang Liu, Tianzhu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
State Space Models are Provably Comparable to Transformers in Dynamic Token Selection
Naoki Nishikawa, Taiji Suzuki
Machine Learning
日本大学: 東京大学
2025 · ICLR
Statistical Advantages of Perturbing Cosine Router in Mixture of Experts
Huy Nguyen, Pedram Akbarian Saravi, Trang Pham, Thien Trang Nguyen Vu, Shujian Zhang, Nhat Ho
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs
Yuheng Zhang, Nan Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks
Tianqu Zhuang, Hongyao Yu, Yixiang Qiu, Hao Fang, Bin Chen, Shu-Tao Xia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Steering Large Language Models between Code Execution and Textual Reasoning
Yongchao Chen, Harsh Jhamtani, Srinagesh Sharma, Chuchu Fan, Chi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction
Jarrid Rector-Brooks, Mohsin Hasan, Zhangzhi Peng, Chenghao Liu, Sarthak Mittal, Nouha Dziri, Michael Bronstein, Pranam Chatterjee, Alexander Tong, Joey Bose
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Steering Protein Family Design through Profile Bayesian Flow
Jingjing Gong, Yu Pei, Siyu Long, Yuxuan Song, Zhe Zhang, Wenhao Huang, Ziyao Cao, Shuyi Zhang, Hao Zhou, Wei-Ying Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion
Kaizhe Hu, Zihang Rui, Yao He, Yuyao Liu, Pu Hua, Huazhe Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo
Shengyu Feng, Xiang Kong, shuang ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Stiefel Flow Matching for Moment-Constrained Structure Elucidation
Austin H Cheng, Alston Lo, Kin Long Kelvin Lee, Santiago Miret, Alan Aspuru-Guzik
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
StochSync: Stochastic Diffusion Synchronization for Image Generation in Arbitrary Spaces
Kyeongmin Yeo, Jaihoon Kim, Minhyuk Sung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Stochastic Bandits Robust to Adversarial Attacks
Xuchuang Wang, Maoli Liu, Jinhang Zuo, Xutong Liu, John C.S. Lui, Mohammad Hajiesmaili
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance
Dimitris Oikonomou, Nicolas Loizou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation
Chenyu Zhang, Xu Chen, Xuan Di
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Marcelo Hartmann, Arto Klami
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Storybooth: Training-Free Multi-Subject Consistency for Improved Visual Storytelling
Jaskirat Singh, Junshen K Chen, Jonas Kohler, Michael Cohen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Straight to Zero: Why Linearly Decaying the Learning Rate to Zero Works Best for LLMs
Shane Bergsma, Nolan Dey, Gurpreet Gosal, Gavia Gray, Daria Soboleva, Joel Hestness
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Strategic Classification With Externalities
Safwan Hossain, Evi Micha, Yiling Chen, Ariel Procaccia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search
Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Streaming Algorithms For $\ell_p$ Flows and $\ell_p$ Regression
Amit Chakrabarti, Jeffrey Jiang, David Woodruff, Taisuke Yasuda
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Streaming Video Question-Answering with In-context Video KV-Cache Retrieval
Shangzhe Di, Zhelun Yu, Guanghao Zhang, Haoyuan Li, ZhongTao, Hao Cheng, Bolin Li, Wanggui He, Fangxun Shu, Hao Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge
Haomiao Xiong, Zongxin Yang, Jiazuo Yu, Yunzhi Zhuge, Lu Zhang, Jiawen Zhu, Huchuan Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Streamlining Prediction in Bayesian Deep Learning
Rui Li, Marcus Klasson, Arno Solin, Martin Trapp
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Streamlining Redundant Layers to Compress Large Language Models
Xiaodong Chen, Yuxuan Hu, Jing Zhang, Yanling Wang, Cuiping Li, Hong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Strength Estimation and Human-Like Strength Adjustment in Games
Chun Jung Chen, Chung-Chin Shih, Ti-Rong Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
StringLLM: Understanding the String Processing Capability of Large Language Models
Xilong Wang, Hao Fu, Jindong Wang, Neil Gong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Strong Model Collapse
Elvis Dohmatob, Yunzhen Feng, Arjun Subramonian, Julia Kempe
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Strong Preferences Affect the Robustness of Preference Models and Value Alignment
Ziwei Xu, Mohan Kankanhalli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
Zhuoqun Li, Xuanang Chen, Haiyang Yu, Hongyu Lin, Yaojie Lu, Qiaoyu Tang, Fei Huang, Xianpei Han, Le Sun, Yongbin Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
Tianchi Xie, Jiangning Zhu, Guozu Ma, Minzhi Lin, Wei Chen, Weikai Yang, Shixia Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Structure Language Models for Protein Conformation Generation
Jiarui Lu, Xiaoyin Chen, Stephen Lu, Chence Shi, Hongyu Guo, Yoshua Bengio, Jian Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing Models
Hanmo Liu, Shimin Di, Jialiang Wang, Zhili Wang, Jiachuan Wang, Xiaofang Zhou, Lei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Student-Informed Teacher Training
Nico Messikommer, Jiaxu Xing, Elie Aljalbout, Davide Scaramuzza
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
Samuel Garcin, Trevor McInroe, Pablo Samuel Castro, Christopher Lucas, David Abel, Prakash Panangaden, Stefano V. Albrecht
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking
Benjamin Feuer, Micah Goldblum, Teresa Datta, Sanjana Nambiar, Raz Besaleli, Samuel Dooley, Max Cembalest, John P Dickerson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Subgraph Federated Learning for Local Generalization
Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Subtask-Aware Visual Reward Learning from Segmented Demonstrations
Changyeon Kim, Minho Heo, Doohyun Lee, Honglak Lee, Jinwoo Shin, Joseph Lim, Kimin Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sufficient Context: A New Lens on Retrieval Augmented Generation Systems
Hailey Joren, Jianyi Zhang, Chun-Sung Ferng, Da-Cheng Juan, Ankur Taly, Cyrus Rashtchian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization
Wenkai Yang, Shiqi Shen, Guangyao Shen, Wei Yao, Yong Liu, Gong Zhi, Yankai Lin, Ji-Rong Wen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
Ling Yang, Zhaochen Yu, Tianjun Zhang, Minkai Xu, Joseph E Gonzalez, Bin CUI, Shuicheng YAN
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion
Harel Mendelman, Ronen Talmon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Support is All You Need for Certified VAE Training
Changming Xu, Debangshu Banerjee, Deepak Vasisht, Gagandeep Singh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars
Jaeseong Lee, Taewoong Kang, Marcel Buehler, Min-Jung Kim, Sungwon Hwang, Junha Hyung, Hyojin Jang, Jaegul Choo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation
Xinpeng Wang, Chengzhi (Martin) Hu, Paul Röttger, Barbara Plank
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Surprising Effectiveness of pretraining Ternary Language Model at Scale
Ayush Kaushal, Tejas Vaidhya, Arnab Mondal, Tejas Pandey, Aaryan Bhagat, Irina Rish
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
Hoang Khoi Nguyen Do, Truc Nguyen, Malik Hassanaly, Raed Alharbi, Jung Seo, My Thai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Swift4D: Adaptive divide-and-conquer Gaussian Splatting for compact and efficient reconstruction of dynamic scene
Jiahao Wu, Rui Peng, Zhiyan Wang, Lu Xiao, Luyang Tang, Jinbo Yan, Kaiqiang Xiong, Ronggang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Swing-by Dynamics in Concept Learning and Compositional Generalization
Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
Yuxiang Lu, Shengcao Cao, Yu-Xiong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sylber: Syllabic Embedding Representation of Speech from Raw Audio
Cheol Jun Cho, Nicholas Lee, Akshat Gupta, Dhruv Agarwal, Ethan Chen, Alan Black, Gopala Anumanchipalli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SyllableLM: Learning Coarse Semantic Units for Speech Language Models
Alan Baade, Puyuan Peng, David Harwath
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SymDiff: Equivariant Diffusion via Stochastic Symmetrisation
Leo Zhang, Kianoosh Ashouritaklimi, Yee Whye Teh, Rob Cornish
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length
Zihan Yu, Jingtao Ding, Yong Li, Depeng Jin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
Daniel Levy, Siba Smarak Panigrahi, Sékou-Oumar Kaba, Qiang Zhu, Kin Long Kelvin Lee, Mikhail Galkin, Santiago Miret, Siamak Ravanbakhsh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups
Yongxing Zhang, Donglin Yang, Renjie Liao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints
Jianhong Bai, Menghan Xia, Xintao WANG, Ziyang Yuan, Zuozhu Liu, Haoji Hu, Pengfei Wan, Di ZHANG
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints
Miruna Cretu, Charles Harris, Ilia Igashov, Arne Schneuing, Marwin Segler, Bruno Correia, Julien Roy, Emmanuel Bengio, Pietro Lio
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning
Minjun Kim, Jongjin Kim, U Kang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning
Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling
Cristian Rodriguez-Opazo, Ehsan Abbasnejad, Damien Teney, Hamed Damirchi, Edison Marrese-Taylor, Anton Hengel
Machine Learning
日本大学: 東京大学
2025 · ICLR
Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo
João Loula, Benjamin LeBrun, Li Du, Ben Lipkin, Clemente Pasti, Gabriel Grand, Tianyu Liu, Yahya Emara, Marjorie Freedman, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Alexander Lew, Tim Vieira, Timothy O'Donnell
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
Max Liu, Chan-Hung Yu, Wei-Hsu Lee, Cheng-Wei Hung, Yen-Chun Chen, Shao-Hua Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Synthesizing Realistic fMRI: A Physiological Dynamics-Driven Hierarchical Diffusion Model for Efficient fMRI Acquisition
Yufan Hu, Jiang, Wuyang Li, Yixuan Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Synthetic continued pretraining
Zitong Yang, Neil Band, Shuangping Li, Emmanuel Candes, Tatsunori Hashimoto
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic Data
Sreyan Ghosh, Sonal Kumar, Zhifeng Kong, Rafael Valle, Bryan Catanzaro, Dinesh Manocha
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SysBench: Can LLMs Follow System Message?
Yanzhao Qin, Tao Zhang, Yanjun Shen, Wenjing Luo, sunhaoze, Yan Zhang, Yujing Qiao, Weipeng Chen, Zenan Zhou, Wentao Zhang, Bin CUI
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems
Patrick Emami, Zhaonan Li, Saumya Sinha, Truc Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
System 1.x: Learning to Balance Fast and Slow Planning with Language Models
Swarnadeep Saha, Archiki Prasad, Justin Chen, Peter Hase, Elias Stengel-Eskin, Mohit Bansal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Systematic Outliers in Large Language Models
Yongqi An, Xu Zhao, Tao Yu, Ming Tang, Jinqiao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Systematic Relational Reasoning With Epistemic Graph Neural Networks
Irtaza Khalid, Steven Schockaert
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Systems with Switching Causal Relations: A Meta-Causal Perspective
Moritz Willig, Tim Tobiasch, Florian Busch, Jonas Seng, Devendra Singh Dhami, Kristian Kersting
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
Hugo Thimonier, José Lucas De Melo Costa, Fabrice Popineau, Arpad Rimmel, Bich-Liên DOAN
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching
Zizheng Pan, Bohan Zhuang, De-An Huang, Weili Nie, Zhiding Yu, Chaowei Xiao, Jianfei Cai, anima anandkumar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
T2V-Turbo-v2: Enhancing Video Model Post-Training through Data, Reward, and Conditional Guidance Design
Jiachen Li, Qian Long, Jian (Skyler) Zheng, Xiaofeng Gao, Robinson Piramuthu, Wenhu Chen, William Wang
Machine Learning
日本大学: 関与なし（対象大学）