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Dictionary Learning

Dictionary Learning is an important problem in multiple areas, ranging from computational neuroscience, machine learning, to computer vision and image processing. The general goal is to find a good basis for given data. More formally, in the Dictionary Learning problem, also known as sparse coding, we are given samples of a random vector $y\in\mathbb{R}^n$, of the form $y=Ax$ where $A$ is some unknown matrix in $\mathbb{R}^{n×m}$, called dictionary, and $x$ is sampled from an unknown distribution over sparse vectors. The goal is to approximately recover the dictionary $A$.

Source: Polynomial-time tensor decompositions with sum-of-squares

Papers

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Showing 26–50 of 823 papers

TitleStatusHype
CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and DemosaicingCode1
Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary EnhancementCode1
Efficient ADMM-based Algorithms for Convolutional Sparse CodingCode1
Deep Convolutional Dictionary Learning for Image DenoisingCode1
Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression ApproachCode1
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factorsCode1
CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary LearningCode1
Learning low-rank latent mesoscale structures in networksCode1
Online Graph Dictionary LearningCode1
An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image ReconstructionCode1
Deep Semantic Dictionary Learning for Multi-label Image ClassificationCode1
Learning Multiscale Convolutional Dictionaries for Image ReconstructionCode1
Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and LanguageCode1
When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition with Limited DataCode1
A Model-driven Deep Neural Network for Single Image Rain RemovalCode1
Sketchformer: Transformer-based Representation for Sketched StructureCode1
Complete Dictionary Learning via _p-norm MaximizationCode1
Online matrix factorization for Markovian data and applications to Network Dictionary LearningCode1
Greedy Frank-Wolfe Algorithm for Exemplar SelectionCode1
Deep Micro-Dictionary Learning and Coding NetworkCode1
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse ProblemsCode1
Deep Roto-Translation Scattering for Object ClassificationCode1
Joint space-time wind field data extrapolation and uncertainty quantification using nonparametric Bayesian dictionary learning—0
Evaluating Sparse Autoencoders: From Shallow Design to Matching Pursuit—0
Mechanistic Decomposition of Sentence Representations—0
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