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Online Learning for Matrix Factorization and Sparse Coding

1 August 2009

Papers citing "Online Learning for Matrix Factorization and Sparse Coding"

50 / 415 papers shown

Title
Beyond FACS: Data-driven Facial Expression Dictionaries, with Application to Predicting Autism Evangelos Sariyanidi Lisa Yankowitz Robert T. Schultz John D. Herrington Birkan Tunc Jeffrey Cohn 22 0 0 30 May 2025
Are Sparse Autoencoders Useful for Java Function Bug Detection? Rui Melo Claudia Mamede Andre Catarino Rui Abreu Henrique Lopes Cardoso 130 0 0 15 May 2025
Online multidimensional dictionary learning Ferdaous Ait Addi Abdeslem Hafid Bentbib Khalide Jbilou 96 0 0 13 Mar 2025
Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms M. Kowalski Benoit Malézieux Thomas Moreau Audrey Repetti 104 0 0 20 Nov 2024
Quantum Algorithm for Sparse Online Learning with Truncated Gradient Descent Debbie Lim Yixian Qiu Patrick Rebentrost Qisheng Wang 172 0 0 06 Nov 2024
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms Yuchen Li Laura Balzano Deanna Needell Hanbaek Lyu 67 1 0 05 May 2024
Image Deraining via Self-supervised Reinforcement Learning He-Hao Liao Yan-Tsung Peng Wen-Tao Chu Ping-Chun Hsieh Chung-Chi Tsai 123 1 0 27 Mar 2024
$Anderson acceleration for iteratively reweighted $\ell_1$ algorithm$ Anderson acceleration for iteratively reweighted $\ell_1$ algorithm Kexin Li 43 0 0 12 Mar 2024
Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary Leheng Zhang Yawei Li Xingyu Zhou Xiaorui Zhao Shuhang Gu SupR 97 35 0 16 Jan 2024
Stochastic optimization with arbitrary recurrent data sampling William G. Powell Hanbaek Lyu 85 0 0 15 Jan 2024
Interpretable factorization of clinical questionnaires to identify latent factors of psychopathology K. Lam Bridget W. Mahony Armin Raznahan Francisco Pereira 32 0 0 12 Dec 2023
Exponentially Convergent Algorithms for Supervised Matrix Factorization Joowon Lee Hanbaek Lyu Weixin Yao 60 1 0 18 Nov 2023
CoLiDE: Concomitant Linear DAG Estimation S. S. Saboksayr Gonzalo Mateos Mariano Tepper CML 79 5 0 04 Oct 2023
On Sparse Modern Hopfield Model Jerry Yao-Chieh Hu Donglin Yang Dennis Wu Chenwei Xu Bo-Yu Chen Han Liu VLM 91 32 0 22 Sep 2023
Convergent regularization in inverse problems and linear plug-and-play denoisers A. Hauptmann Subhadip Mukherjee Carola-Bibiane Schönlieb Ferdia Sherry 86 14 0 18 Jul 2023
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning Dohyun Kwon Hanbaek Lyu 21 3 0 04 Jun 2023
DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models Yingqian Cui Jie Ren Han Xu Pengfei He Hui Liu Lichao Sun Yue Xing Jiliang Tang WIGM 92 35 0 25 May 2023
Quantum Annealing for Single Image Super-Resolution Han Yao Choong Suryansh Kumar Luc Van Gool 54 4 0 18 Apr 2023
Toward Real-Time Image Annotation Using Marginalized Coupled Dictionary Learning Seyed Mahdi Roostaiyan M. Hosseini Mahya Mohammadi Kashani S. H. Amiri 38 6 0 14 Apr 2023
Audio Bank: A High-Level Acoustic Signal Representation for Audio Event Recognition Tushar Sandhan Sukanya Sonowal J. Choi 28 8 0 11 Apr 2023
Convergence of alternating minimisation algorithms for dictionary learning Simon Ruetz Karin Schnass 85 0 0 04 Apr 2023
Cloud K-SVD for Image Denoising Christian Marius Lillelund Henrik Bagger Jensen Christian Fischer Pedersen 53 4 0 01 Mar 2023
Hiding Data Helps: On the Benefits of Masking for Sparse Coding Muthuraman Chidambaram Chenwei Wu Yu Cheng Rong Ge 79 0 0 24 Feb 2023
Learning Large Scale Sparse Models A. Dhingra Jie Shen Nicholas Kleene 47 0 0 26 Jan 2023
Invariant Lipschitz Bandits: A Side Observation Approach Nam-Phuong Tran Long Tran-Thanh 98 1 0 14 Dec 2022
Removing Rain Streaks via Task Transfer Learning Yinglong Wang Chao Ma Jianzhuang Liu 59 2 0 28 Aug 2022
Unitary Approximate Message Passing for Matrix Factorization Zhengdao Yuan Qinghua Guo Yonina C. Eldar Yonghui Li 44 5 0 31 Jul 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen Ma Zixuan Liu Xue Liu 193 39 0 24 Jul 2022
Majorization-minimization for Sparse Nonnegative Matrix Factorization with the $β$ -divergence Arthur Marmin J. H. D. M. Goulart Cédric Févotte 60 8 0 13 Jul 2022
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems Dan Garber Atara Kaplan 78 0 0 23 Jun 2022
Supervised Dictionary Learning with Auxiliary Covariates Joo-Hyun Lee Hanbaek Lyu W. Yao 64 1 0 14 Jun 2022
Dictionary-Based Fusion of Contact and Acoustic Microphones for Wind Noise Reduction Marvin Tammen Xilin Li Simon Doclo L. Theverapperuma 26 4 0 18 May 2022
Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks Ziyang Zheng Wenrui Dai Duoduo Xue Chenglin Li Junni Zou H. Xiong 93 18 0 25 Apr 2022
Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data Ahmet Alacaoglu Hanbaek Lyu 61 4 0 29 Mar 2022
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably) Yu Huang Junyang Lin Chang Zhou Hongxia Yang Longbo Huang 66 97 0 23 Mar 2022
Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse CNNs Paul Wimmer Jens Mehnert Alexandru Paul Condurache CVBM 62 20 0 15 Mar 2022
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems Dan Garber Atara Kaplan 85 5 0 08 Feb 2022
Dictionary learning for clustering on hyperspectral images Joshua Bruton Hairong Wang 31 6 0 02 Feb 2022
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions Yang Nan Javier Del Ser Simon Walsh Carola Schönlieb M. Roberts ... Philippe Lambin Leonor Cerdá Alberich L. Martí-Bonmatí Francisco Herrera Guang Yang 95 109 0 17 Jan 2022
Stochastic regularized majorization-minimization with weakly convex and multi-convex surrogates Hanbaek Lyu 49 3 0 05 Jan 2022
Associative Adversarial Learning Based on Selective Attack Runqi Wang Xiaoyue Duan Baochang Zhang Shenjun Xue Wentao Zhu David Doermann G. Guo AAML 72 0 0 28 Dec 2021
Dictionary-based Low-Rank Approximations and the Mixed Sparse Coding problem Jérémy E. Cohen 47 0 0 24 Nov 2021
Discriminative Dictionary Learning based on Statistical Methods G. Madhuri A. Negi 23 6 0 17 Nov 2021
On audio enhancement via online non-negative matrix factorization A. Sack Wenzhao Jiang Michael Perlmutter Palina Salanevich Deanna Needell 48 4 0 07 Oct 2021
Is Attention Better Than Matrix Decomposition? Zhengyang Geng Meng-Hao Guo Hongxu Chen Xia Li Ke Wei Zhouchen Lin 123 142 0 09 Sep 2021
Robust Event Detection based on Spatio-Temporal Latent Action Unit using Skeletal Information Hao Xing Yuxuan Xue Mingchuan Zhou Darius Burschka 65 4 0 06 Sep 2021
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning Yehuda Dar Vidya Muthukumar Richard G. Baraniuk 117 72 0 06 Sep 2021
Streaming data preprocessing via online tensor recovery for large environmental sensor networks Yue Hu Ao Qu Yanbing Wang D. Work 50 8 0 01 Sep 2021
Bubblewrap: Online tiling and real-time flow prediction on neural manifolds A. Draelos Pranjal Gupta Na Young Jun Chaichontat Sriworarat John M. Pearson AI4CE 20 3 0 31 Aug 2021
Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection Gaetan Frusque Gabriel Michau Olga Fink 41 7 0 20 Jul 2021