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
Self-Improving Robust Preference Optimization
Eugene Choi, Arash Ahmadian, Matthieu Geist, Olivier Pietquin, Mohammad Gheshlaghi Azar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
Fushuo Huo, Wenchao Xu, Zhong Zhang, Haozhao Wang, Zhicheng Chen, Peilin Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts
Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob Hansen, James R Glass, David Cox, Rameswar Panda, Rogerio Feris, Alan Ritter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Self-Normalized Resets for Plasticity in Continual Learning
Vivek Farias, Adam Jozefiak
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Self-Play Preference Optimization for Language Model Alignment
Yue Wu, Zhiqing Sun, Rina Hughes, Kaixuan Ji, Yiming Yang, Quanquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement
Chenxu Wu, Qingpeng Kong, Zihang Jiang, S Kevin Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning
Gyoung S. Na, Chanyoung Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Self-Updatable Large Language Models by Integrating Context into Model Parameters
Yu Wang, Xinshuang Liu, Xiusi Chen, Sean OBrien, Junda Wu, Julian McAuley
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
Guanting Dong, Keming Lu, Chengpeng Li, Tingyu Xia, Bowen Yu, Chang Zhou, Jingren Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining
Wonhyeok Choi, Kyumin Hwang, Wei Peng, Minwoo Choi, Sunghoon Im
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Self-supervised contrastive learning performs non-linear system identification
Rodrigo Gonzalez Laiz, Tobias Schmidt, Steffen Schneider
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Semantic Aware Representation Learning for Lifelong Learning
Fahad Sarfraz, Elahe Arani, Bahram Zonooz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations
Litu Rout, Yujia Chen, Nataniel Ruiz, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs
Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning
Tian-Shuo Liu, Xu-Hui Liu, Ruifeng Chen, Lixuan Jin, Pengyuan Wang, Zhilong Zhang, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Semantics-Adaptive Activation Intervention for LLMs via Dynamic Steering Vectors
Weixuan Wang, JINGYUAN YANG, Wei Peng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Semantix: An Energy-guided Sampler for Semantic Style Transfer
Huiang He, Minghui HU, Chuanxia Zheng, Chaoyue Wang, Tat-Jen Cham
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Semi-Parametric Retrieval via Binary Bag-of-Tokens Index
Jiawei Zhou, Li Dong, Furu Wei, Lei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Semi-Supervised CLIP Adaptation by Enforcing Semantic and Trapezoidal Consistency
Kai Gan, Bo Ye, Min-Ling Zhang, Tong Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving
Xiang Li, Pengfei Li, Yupeng Zheng, Wei Sun, Yan Wang, yilun chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Semialgebraic Neural Networks: From roots to representations
S David Mis, Matti Lassas, Maarten V de Hoop
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sensitivity Verification for Additive Decision Tree Ensembles
Arhaan Ahmad, Tanay Tayal, Ashutosh Gupta, S. Akshay
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations
Abdolmehdi Behroozi, Chaopeng Shen, Daniel Kifer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sensor-Invariant Tactile Representation
Harsh Gupta, Yuchen Mo, Shengmiao Jin, Wenzhen Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Separation Power of Equivariant Neural Networks
Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning
Md Rifat Arefin, Gopeshh Raaj Subbaraj, Nicolas Gontier, Yann LeCun, Irina Rish, Ravid Shwartz-Ziv, Christopher Pal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sequential Controlled Langevin Diffusions
Junhua Chen, Lorenz Richter, Julius Berner, Denis Blessing, Gerhard Neumann, anima anandkumar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning
Xinsong Feng, Zihan Yu, Yanhai Xiong, Haipeng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Severing Spurious Correlations with Data Pruning
Varun Mulchandani, Jung-Eun Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design
Keir Adams, Kento Abeywardane, Jenna Fromer, Connor Coley
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Shallow diffusion networks provably learn hidden low-dimensional structure
Nicholas Boffi, Arthur Jacot, Stephen Tu, Ingvar Ziemann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Shape as Line Segments: Accurate and Flexible Implicit Surface Representation
Siyu Ren, Junhui Hou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
Hongliang Chi, Qiong Wu, Zhengyi Zhou, Yao Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Shared-AE: Automatic Identification of Shared Subspaces in High-dimensional Neural and Behavioral Activity
Daiyao Yi, Hao Dong, Michael Higley, Anne Churchland, Shreya Saxena
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods
Hossein Taheri, Christos Thrampoulidis, Arya Mazumdar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sharpness-Aware Black-Box Optimization
Feiyang YE, YUEMING LYU, Xuehao Wang, Masashi Sugiyama, Yu Zhang, Ivor Tsang
Machine Learning
日本大学: 東京大学
2025 · ICLR
Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training
Zhanpeng Zhou, Mingze Wang, Yuchen Mao, Bingrui Li, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sharpness-Aware Minimization: General Analysis and Improved Rates
Dimitris Oikonomou, Nicolas Loizou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Shedding Light on Time Series Classification using Interpretability Gated Networks
Yunshi Wen, Tengfei Ma, Ronny Luss, Debarun Bhattacharjya, Achille Fokoue, Anak Agung Julius
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Shh, don't say that! Domain Certification in LLMs
Cornelius Emde, Alasdair Paren, Preetham Arvind, Maxime Kayser, Tom Rainforth, Thomas Lukasiewicz, Philip Torr, Adel Bibi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning
Berken Utku Demirel, Christian Holz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents
Haiyang SHEN, Yue Li, Desong Meng, Dongqi Cai, Sheng Qi, Li Zhang, Mengwei Xu, Yun Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Shot2Story: A New Benchmark for Comprehensive Understanding of Multi-shot Videos
Mingfei Han, Linjie Yang, Xiaojun Chang, Lina Yao, Heng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Should VLMs be Pre-trained with Image Data?
Sedrick Keh, Jean Mercat, Samir Yitzhak Gadre, Kushal Arora, Igor Vasiljevic, Benjamin Burchfiel, Shuran Song, Russ Tedrake, Thomas Kollar, Ludwig Schmidt, Achal Dave
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation
Jinheng Xie, Weijia Mao, Zechen Bai, David Junhao Zhang, Weihao Wang, Kevin Qinghong Lin, Yuchao Gu, Zhijie Chen, Zhenheng Yang, Mike Zheng Shou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training
Nie Lin, Takehiko Ohkawa, Yifei Huang, Mingfang Zhang, Minjie Cai, Ming Li, Ryosuke Furuta, Yoichi Sato
Machine Learning
日本大学: 東京大学
2025 · ICLR
SiReRAG: Indexing Similar and Related Information for Multihop Reasoning
Nan Zhang, Prafulla Kumar Choubey, Alexander Fabbri, Gabriel Bernadett-Shapiro, Rui Zhang, Prasenjit Mitra, Caiming Xiong, Chien-Sheng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SigDiffusions: Score-Based Diffusion Models for Time Series via Log-Signature Embeddings
Barbora Barancikova, Zhuoyue Huang, Cristopher Salvi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Georg Manten, Cecilia Casolo, Emilio Ferrucci, Søren Mogensen, Cristopher Salvi, Niki Kilbertus
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning
Hojoon Lee, Dongyoon Hwang, Donghu Kim, Hyunseung Kim, Jun Jet Tai, Kaushik Subramanian, Peter Wurman, Jaegul Choo, Peter Stone, Takuma Seno
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters
Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, Vasant Honavar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SimXRD-4M: Big Simulated X-ray Diffraction Data and Crystal Symmetry Classification Benchmark
Bin Cao, Yang Liu, Zinan Zheng, Ruifeng Tan, Jia Li, Tong-Yi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Simple Guidance Mechanisms for Discrete Diffusion Models
Yair Schiff, Subham Sahoo, Hao Phung, Guanghan Wang, Sam Boshar, Hugo Dalla-torre, Bernardo Almeida, Alexander Rush, Thomas Pierrot, Volodymyr Kuleshov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Simple ReFlow: Improved Techniques for Fast Flow Models
Beomsu Kim, Yu-Guan Hsieh, Michal Klein, marco cuturi, Jong Chul YE, Bahjat Kawar, James Thornton
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
Mufei Li, Siqi Miao, Pan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction
Shengju Yu, Zhibin Dong, Siwei Wang, Pei Zhang, Yi Zhang, Xinwang Liu, Thomas Guan, Tiejun Li, Yiu-ming Cheung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Simple, Good, Fast: Self-Supervised World Models Free of Baggage
Jan Robine, Marc Höftmann, Stefan Harmeling
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting
Hui Chen, Viet Luong, Lopamudra Mukherjee, Vikas Singh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Simplifying Deep Temporal Difference Learning
Matteo Gallici, Mattie Fellows, Benjamin Ellis, Bartomeu Pou, Ivan Masmitja, Jakob Foerster, Mario Martin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Simplifying, Stabilizing and Scaling Continuous-time Consistency Models
Cheng Lu, Yang Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SimulPL: Aligning Human Preferences in Simultaneous Machine Translation
Donglei Yu, Yang Zhao, Jie Zhu, Yangyifan Xu, Yu Zhou, Chengqing Zong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Simulating Human-like Daily Activities with Desire-driven Autonomy
Yiding Wang, Yuxuan Chen, Fangwei Zhong, Long Ma, Yizhou Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Simulating Training Dynamics to Reconstruct Training Data from Deep Neural Networks
Hanling Tian, Yuhang Liu, Mingzhen He, Zhengbao He, Zhehao Huang, Ruikai Yang, Xiaolin Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Single Teacher, Multiple Perspectives: Teacher Knowledge Augmentation for Enhanced Knowledge Distillation
Md Imtiaz Hossain, Sharmen Akhter, Choong Seon Hong, Eui-Nam Huh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Single-agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning
Fan Yao, Yuwei Cheng, Ermin Wei, Haifeng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Singular Subspace Perturbation Bounds via Rectangular Random Matrix Diffusions
Peiyao Lai, Oren Mangoubi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes
Jianqi Chen, Panwen Hu, Xiaojun Chang, Zhenwei Shi, Michael Kampffmeyer, Xiaodan Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries
Zongzhao Li, Jiacheng Cen, Wenbing Huang, Taifeng Wang, Le Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sketch2Diagram: Generating Vector Diagrams from Hand-Drawn Sketches
Itsumi Saito, Haruto Yoshida, Keisuke Sakaguchi
Machine Learning
日本大学: 東北大学
2025 · ICLR
Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees
Yingzhen Yang, Ping Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Skill Expansion and Composition in Parameter Space
Tenglong Liu, Jianxiong Li, Yinan Zheng, Haoyi Niu, Yixing Lan, Xin Xu, Xianyuan Zhan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SleepSMC: Ubiquitous Sleep Staging via Supervised Multimodal Coordination
Shuo Ma, Yingwei Zhang, Yiqiang Chen, Hualei Wang, Yuan Jin, Wei Zhang, Ziyu Jia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation
adil kaan akan, Yucel Yemez
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation
Yining Hong, Beide Liu, Maxine Wu, Yuanhao Zhai, Kai-Wei Chang, Linjie Li, Kevin Lin, Chung-Ching Lin, Jianfeng Wang, Zhengyuan Yang, Yingnian Wu, Lijuan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Small Models are LLM Knowledge Triggers for Medical Tabular Prediction
Jiahuan Yan, Jintai Chen, Chaowen Hu, Bo Zheng, Yaojun Hu, Jimeng Sun, Jian Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale
Alaa Khaddaj, Logan Engstrom, Aleksander Madry
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling
Hritik Bansal, Arian Hosseini, Rishabh Agarwal, Vinh Tran, Seyed Mehran Kazemi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
Yang Zhou, Hao Shao, Letian Wang, Steven Waslander, Hongsheng Li, Yu Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback
Jingsheng Gao, Linxu Li, Ke Ji, Weiyuan Li, Yixin Lian, yuzhuo fu, Bin Dai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Smoothing the Shift: Towards Stable Test-Time Adaptation under Complex Multimodal Noises
Zirun Guo, Tao Jin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SoftCVI: Contrastive variational inference with self-generated soft labels
Daniel Ward, Mark Beaumont, Matteo Fasiolo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searches
Hiroyuki Deguchi, Go Kamoda, Yusuke Matsushita, Chihiro Taguchi, Kohei Suenaga, Masaki Waga, Sho Yokoi
Machine Learning
日本大学: 京都大学 / 東北大学
2025 · ICLR
Solving Differential Equations with Constrained Learning
Viggo Moro, Luiz Chamon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Solving New Tasks by Adapting Internet Video Knowledge
Calvin Luo, Zilai Zeng, Yilun Du, Chen Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model
Longrong Yang, Dong Shen, Chaoxiang Cai, Fan Yang, Tingting Gao, Di ZHANG, Xi Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Solving Video Inverse Problems Using Image Diffusion Models
Taesung Kwon, Jong Chul YE
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Solving hidden monotone variational inequalities with surrogate losses
Ryan D'Orazio, Danilo Vucetic, Zichu Liu, Junhyung Lyle Kim, Ioannis Mitliagkas, Gauthier Gidel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SonicSim: A customizable simulation platform for speech processing in moving sound source scenarios
Kai Li, Wendi Sang, Chang Zeng, Runxuan Yang, Guo Chen, Xiaolin Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sort-free Gaussian Splatting via Weighted Sum Rendering
Qiqi Hou, Randall Rauwendaal, Zifeng Li, Hoang Le, Farzad Farhadzadeh, Fatih Porikli, Alexei Bourd, Amir Said
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation
Koichi Saito, Dongjun Kim, Takashi Shibuya, Chieh-Hsin Lai, Zhi Zhong, Yuhta Takida, Yuki Mitsufuji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels
Xiangyu Dong, Xingyi Zhang, Lei Chen, Mingxuan Yuan, Sibo WANG
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sparse Autoencoders Do Not Find Canonical Units of Analysis
Patrick Leask, Bart Bussmann, Michael Pearce, Joseph Bloom, Curt Tigges, Noura Al Moubayed, Lee Sharkey, Neel Nanda
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models
Can Demircan, Tankred Saanum, Akshay Jagadish, Marcel Binz, Eric Schulz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Samuel Marks, Can Rager, Eric Michaud, Yonatan Belinkov, David Bau, Aaron Mueller
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sparse Learning for State Space Models on Mobile
Xuan Shen, Hangyu Zheng, Yifan Gong, Zhenglun Kong, Changdi Yang, Zheng Zhan, Yushu Wu, Xue Lin, Yanzhi Wang, Pu Zhao, Wei Niu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sparse autoencoders reveal selective remapping of visual concepts during adaptation
Hyesu Lim, Jinho Choi, Jaegul Choo, Steffen Schneider
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Sparse components distinguish visual pathways & their alignment to neural networks
Ammar I Marvi, Nancy Kanwisher, Meenakshi Khosla
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
SparsyFed: Sparse Adaptive Federated Learning
Adriano Guastella, Lorenzo Sani, Alex Iacob, Alessio Mora, Paolo Bellavista, Nic Lane
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion
Chaodong Xiao, Minghan Li, zhengqiang ZHANG, Deyu Meng, Lei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Specialized Foundation Models Struggle to Beat Supervised Baselines
Zongzhe Xu, Ritvik Gupta, Wenduo Cheng, Alexander Shen, Junhong Shen, Ameet Talwalkar, Mikhail Khodak
Machine Learning
日本大学: 関与なし（対象大学）