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Adam: A Method for Stochastic Optimization

22 December 2014

Diederik P. Kingma

Jimmy Ba

ODL

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Papers citing "Adam: A Method for Stochastic Optimization"

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Title
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Application of Langevin Dynamics to Advance the Quantum Natural Gradient Optimization Algorithm Oleksandr Borysenko Mykhailo Bratchenko Ilya Lukin Mykola Luhanko Ihor Omelchenko Andrii Sotnikov Alessandro Lomi 86 0 0 17 Feb 2025
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From Markov to Laplace: How Mamba In-Context Learns Markov Chains Marco Bondaschi Nived Rajaraman Xiuying Wei Kannan Ramchandran Razvan Pascanu Çağlar Gülçehre Michael C. Gastpar Ashok Vardhan Makkuva 137 0 0 17 Feb 2025
Graph-based Retrieval Augmented Generation for Dynamic Few-shot Text Classification Yubo Wang Haoyang Li Fei Teng Lei Chen 161 1 0 17 Feb 2025
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Learning Clustering-based Prototypes for Compositional Zero-shot Learning Hongyu Qu Jianan Wei Xiangbo Shu Wenguan Wang VLM 142 1 0 10 Feb 2025
Learning Musical Representations for Music Performance Question Answering Xingjian Diao Chunhui Zhang Tingxuan Wu Ming Cheng Z. Ouyang Weiyi Wu Jiang Gui 107 11 0 10 Feb 2025
Epistemic Uncertainty in Conformal Scores: A Unified Approach Luben M. C. Cabezas Vagner S. Santos Thiago Rodrigo Ramos Rafael Izbicki 512 1 0 10 Feb 2025
Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-Identification Jiachen Li Xiaojin Gong DiffM 166 0 0 10 Feb 2025
LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs Sumin An Junyoung Sung Wonpyo Park Chanjun Park Paul Hongsuck Seo 214 0 0 10 Feb 2025
Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions H. Fokkema T. Erven Sara Magliacane 116 2 0 10 Feb 2025
CANeRV: Content Adaptive Neural Representation for Video Compression Lv Tang Jun Zhu Xinfeng Zhang Li Zhang Siwei Ma Qingming Huang 163 1 0 10 Feb 2025
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling Xiao Li Zekai Zhang Xiang Li Siyi Chen Zhihui Zhu Peng Wang Qing Qu DiffM 161 1 0 09 Feb 2025
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Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders Zheng Chai Hui Lu Di Chen Qin Ren Yuchao Zheng Xun Zhou 180 0 0 08 Feb 2025
Investigating the impact of kernel harmonization and deformable registration on inspiratory and expiratory chest CT images for people with COPD Aravind Krishnan Yihao Liu Kaiwen Xu Michael E. Kim Lucas W. Remedios ... Bradley W. Richmond K. Sandler Fabien Maldonado Bennett A. Landman Lianrui Zuo 118 0 0 07 Feb 2025
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Wake-Informed 3D Path Planning for Autonomous Underwater Vehicles Using A* and Neural Network Approximations Zachary Cooper-Baldock Stephen Turnock Karl Sammut 101 0 0 04 Feb 2025
Mask-informed Deep Contrastive Incomplete Multi-view Clustering Zhenglai Li Yuqi Shi Xiao He Chang-Fu Tang 108 0 0 04 Feb 2025
Multi-level Supervised Contrastive Learning Naghmeh Ghanooni Barbod Pajoum Harshit Rawal Sophie Fellenz Vo Nguyen Le Duy Marius Kloft 180 0 0 04 Feb 2025
Explaining Context Length Scaling and Bounds for Language Models Jingzhe Shi Qinwei Ma Hongyi Liu Hang Zhao Jeng-Neng Hwang Lei Li LRM 212 3 0 03 Feb 2025
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