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

2024 · 2,260 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。

2024 · ICLR
Rethinking Label Poisoning for GNNs: Pitfalls and Attacks
Vijay Chandra Lingam, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Rethinking Model Ensemble in Transfer-based Adversarial Attacks
Huanran Chen, Yichi Zhang, Yinpeng Dong, Xiao Yang, Hang Su, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Rethinking and Extending the Probabilistic Inference Capacity of GNNs
Tuo Xu, Lei Zou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks
Shih-Hsin Wang, Yung-Chang Hsu, Justin Baker, Andrea Bertozzi, Jack Xin, Bao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability
Zehao Dong, Muhan Zhang, Philip Payne, Michael Province, Carlos Cruchaga, Tianyu Zhao, Fuhai Li, Yixin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Rethinking the Uniformity Metric in Self-Supervised Learning
Xianghong Fang, Jian Li, Qiang Sun, Wang Benyou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms
Ge Yan, Hongxu Chen, Kaisen Pan, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Retrieval is Accurate Generation
Bowen Cao, Deng Cai, Leyang Cui, Xuxin Cheng, Wei BI, Yuexian Zou, Shuming Shi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Retrieval meets Long Context Large Language Models
Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Retrieval-Enhanced Contrastive Vision-Text Models
Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan, Ramesh Karri, Siddharth Garg
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Retrieval-based Disentangled Representation Learning with Natural Language Supervision
Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Lei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Retro-fallback: retrosynthetic planning in an uncertain world
Austin Tripp, Krzysztof Maziarz, Sarah Lewis, Marwin Segler, José Miguel Hernández Lobato
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
RetroBridge: Modeling Retrosynthesis with Markov Bridges
Ilia Igashov, Arne Schneuing, Marwin Segler, Michael Bronstein, Bruno Correia
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh Ramapura Narasimha Murthy, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Reverse Diffusion Monte Carlo
Xunpeng Huang, Hanze Dong, Yifan HAO, Yian Ma, Tong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency
Stone Tao, Arth Shukla, Tse-kai Chan, Hao Su
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Revisit and Outstrip Entity Alignment: A Perspective of Generative Models
Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Yin Fang, Wen Zhang, Huajun Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Revisiting Data Augmentation in Deep Reinforcement Learning
Jianshu Hu, Yunpeng Jiang, Paul Weng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation
Tien Manh Luong, Khai Nguyen, Nhat Ho, Reza Haffari, Dinh Phung, Lizhen Qu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Revisiting Link Prediction: a data perspective
Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods
Zijian Liu, Zhengyuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Reward Design for Justifiable Sequential Decision-Making
Aleksa Sukovic, Goran Radanovic
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Reward Model Ensembles Help Mitigate Overoptimization
Thomas Coste, Usman Anwar, Robert Kirk, David Krueger
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning
Fan-Ming Luo, Tian Xu, Xingchen Cao, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Reward-Free Curricula for Training Robust World Models
Marc Rigter, Minqi Jiang, Ingmar Posner
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction
Ziyang Yu, Wenbing Huang, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
RingAttention with Blockwise Transformers for Near-Infinite Context
Hao Liu, Matei Zaharia, Pieter Abbeel
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Risk Bounds of Accelerated SGD for Overparameterized Linear Regression
Xuheng Li, Yihe Deng, Jingfeng Wu, Dongruo Zhou, Quanquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Robot Fleet Learning via Policy Merging
Lirui Wang, Kaiqing Zhang, Allan Zhou, Max Simchowitz, Russ Tedrake
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula
Aryaman Reddi, Maximilian Tölle, Jan Peters, Georgia Chalvatzaki, Carlo D'Eramo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Robust Angular Synchronization via Directed Graph Neural Networks
Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Robust Classification via Regression for Learning with Noisy Labels
Erik Englesson, Hossein Azizpour
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Robust Model Based Reinforcement Learning Using $\mathcal{L}_1$ Adaptive Control
Minjun Sung, Sambhu Harimanas Karumanchi, Aditya Gahlawat, Naira HOVAKIMYAN
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Robust Model-Based Optimization for Challenging Fitness Landscapes
Saba Ghaffari, Ehsan Saleh, Alex Schwing, Yu-Xiong Wang, Martin Burke, Saurabh Sinha
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Robust NAS under adversarial training: benchmark, theory, and beyond
Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios Chrysos, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Robust Similarity Learning with Difference Alignment Regularization
Shuo Chen, Gang Niu, Chen Gong, Okan Koc, Jian Yang, Masashi Sugiyama
Machine Learning
日本大学: 東京大学
2024 · ICLR
Robust Training of Federated Models with Extremely Label Deficiency
Yonggang Zhang, Zhiqin Yang, Xinmei Tian, Nannan Wang, Tongliang Liu, Bo Han
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Robust agents learn causal world models
Jonathan Richens, Tom Everitt
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies
Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Robustifying State-space Models for Long Sequences via Approximate Diagonalization
Annan Yu, Arnur Nigmetov, Dmitriy Morozov, Michael W Mahoney, N. Benjamin Erichson
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Robustifying and Boosting Training-Free Neural Architecture Search
Zhenfeng He, Yao Shu, Zhongxiang Dai, Bryan Kian Hsiang Low
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks
Mehrdad Saberi, Vinu Sankar Sadasivan, Keivan Rezaei, Aounon Kumar, Atoosa Chegini, Wenxiao Wang, Soheil Feizi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs
Aakash Sunil Lahoti, Stefani Karp, Ezra Winston, Aarti Singh, Yuanzhi Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification
Guodong Wang, Yunhong Wang, Xiuguo Bao, Di Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic
Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SALMON: Self-Alignment with Instructable Reward Models
Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen, David Cox, Yiming Yang, Chuang Gan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SALMONN: Towards Generic Hearing Abilities for Large Language Models
Changli Tang, Wenyi Yu, Guangzhi Sun, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun MA, Chao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer
Yuhta Takida, Masaaki Imaizumi, Takashi Shibuya, Chieh-Hsin Lai, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji
Machine Learning
日本大学: 東京大学
2024 · ICLR
SAS: Structured Activation Sparsification
Yusuke Sekikawa, Shingo Yashima
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos
Yulei Niu, Wenliang Guo, Long Chen, Xudong Lin, Shih-Fu Chang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, Robin Rombach
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SE(3)-Stochastic Flow Matching for Protein Backbone Generation
Joey Bose, Tara Akhound-Sadegh, Guillaume Huguet, Kilian FATRAS, Jarrid Rector-Brooks, Chenghao Liu, Andrei Nica, Maksym Korablyov, Michael Bronstein, Alexander Tong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SEA: Sparse Linear Attention with Estimated Attention Mask
Heejun Lee, Jina Kim, Jeff Willette, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SEABO: A Simple Search-Based Method for Offline Imitation Learning
Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution
Wenlong Zhang, Xiaohui Li, Xiangyu Chen, Xiaoyun Zhang, Yu Qiao, Xiao-Ming Wu, Chao Dong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction
Xinyuan Chen, Yaohui Wang, Lingjun Zhang, Shaobin Zhuang, Xin Ma, Jiashuo Yu, Yali Wang, Dahua Lin, Yu Qiao, Ziwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SEPT: Towards Efficient Scene Representation Learning for Motion Prediction
Zhiqian Lan, Yuxuan Jiang, Yao Mu, Chen Chen, Shengbo Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SGD Finds then Tunes Features in Two-Layer Neural Networks with near-Optimal Sample Complexity: A Case Study in the XOR problem
Margalit Glasgow
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
Sewon Min, Suchin Gururangan, Eric Wallace, Weijia Shi, Hannaneh Hajishirzi, Noah Smith, Luke Zettlemoyer
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models
Dingli Yu, Simran Kaur, Arushi Gupta, Jonah Brown-Cohen, Anirudh Goyal, Sanjeev Arora
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SLiMe: Segment Like Me
Aliasghar Khani, Saeid Asgari, Aditya Sanghi, Ali Mahdavi Amiri, Ghassan Hamarneh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
Kazem Meidani, Parshin Shojaee, Chandan Reddy, Amir Barati Farimani
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation
Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models
S. Fatemeh Seyyedsalehi, Mahdieh Baghshah, Hamid Rabiee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang, Haofei Yu, Zhengyang Qi, Louis-Philippe Morency, Yonatan Bisk, Daniel Fried, Graham Neubig, Maarten Sap
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SPDER: Semiperiodic Damping-Enabled Object Representation
Kathan Shah, Chawin Sitawarin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning
Hongjun Wang, Sagar Vaze, Kai Han
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
Zhiyu Mei, Wei Fu, Jiaxuan Gao, Guangju Wang, Huanchen Zhang, Yi Wu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
STARC: A General Framework For Quantifying Differences Between Reward Functions
Joar Skalse, Lucy Farnik, Sumeet Motwani, Erik Jenner, Adam Gleave, Alessandro Abate
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models
Pum Jun Kim, Seojun Kim, Jaejun Yoo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
Yu-Hsuan Wu, Jerry Yao-Chieh Hu, Weijian Li, Bo-Yu Chen, Han Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS
Yameng Peng, Andy Song, Haytham Fayek, Vic Ciesielski, Xiaojun Chang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning
Lei You, Hei Victor Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SWE-bench: Can Language Models Resolve Real-world Github Issues?
Carlos E Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, Karthik Narasimhan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning
Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SaNN: Simple Yet Powerful Simplicial-aware Neural Networks
Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SaProt: Protein Language Modeling with Structure-aware Vocabulary
Jin Su, Chenchen Han, Yuyang Zhou, Junjie Shan, Xibin Zhou, Fajie Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Safe Collaborative Filtering
Riku Togashi, Tatsushi Oka, Naoto Ohsaka, Tetsuro Morimura
Machine Learning
日本大学: 慶應義塾大学
2024 · ICLR
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
Yinan Zheng, Jianxiong Li, Dongjie Yu, Yujie Yang, Shengbo Li, Xianyuan Zhan, Jingjing Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Safe RLHF: Safe Reinforcement Learning from Human Feedback
Juntao Dai, Xuehai Pan, Ruiyang Sun, Jiaming Ji, Xinbo Xu, Mickel Liu, Yizhou Wang, Yaodong Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Safe and Robust Watermark Injection with a Single OoD Image
Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SafeDreamer: Safe Reinforcement Learning with World Models
Weidong Huang, Jiaming Ji, Chunhe Xia, Borong Zhang, Yaodong Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions
Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Y Zou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
Chongyu Fan, Jiancheng Liu, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
Ziping Xu, Zifan Xu, Runxuan Jiang, Peter Stone, Ambuj Tewari
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity
Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight
Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data
Thomas T. Zhang, Leonardo Felipe Toso, James Anderson, Nikolai Matni
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sample-Efficient Multi-Agent RL: An Optimization Perspective
Nuoya Xiong, Zhihan Liu, Zhaoran Wang, Zhuoran Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sample-Efficient Quality-Diversity by Cooperative Coevolution
Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye HAO, Chao Qian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation
Jianliang He, Han Zhong, Zhuoran Yang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization
Frederic Koehler, Thuy-Duong Vuong
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Scalable Diffusion for Materials Generation
Sherry Yang, Kwanghwan Cho, Amil Merchant, Pieter Abbeel, Dale Schuurmans, Igor Mordatch, Ekin Cubuk
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Scalable Language Model with Generalized Continual Learning
Bohao PENG, Zhuotao Tian, Shu Liu, Ming-Chang Yang, Jiaya Jia
Machine Learning
日本大学: 関与なし（対象大学）