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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 101–125 of 823 papers

TitleStatusHype
Global Identifiability of _1-based Dictionary Learning via Matrix Volume Optimization—0
Global Identifiability of _1-based Dictionary Learning via Matrix Volume Optimization—0
Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation—0
Multi-Source Domain Adaptation meets Dataset Distillation through Dataset Dictionary Learning—0
Bayesian sparsity and class sparsity priors for dictionary learning and coding—0
Optimal Projections for Discriminative Dictionary Learning using the JL-lemmaCode0
Sparse Models for Machine Learning—0
Quantitative MR Image Reconstruction using Parameter-Specific Dictionary Learning with Adaptive Dictionary-Size and Sparsity-Level Choice—0
Exploring the Effect of Sparse Recovery on the Quality of Image Superresolution—0
On the Transition from Neural Representation to Symbolic Knowledge—0
The Decimation Scheme for Symmetric Matrix Factorization—0
Learning a Common Dictionary for CSI Feedback in FDD Massive MU-MIMO-OFDM Systems—0
Multi-Source Domain Adaptation through Dataset Dictionary Learning in Wasserstein SpaceCode0
Combating the Curse of Multilinguality in Cross-Lingual WSD by Aligning Sparse Contextualized Word RepresentationsCode1
Anomaly Detection with Selective Dictionary LearningCode0
Classification with Incoherent Kernel Dictionary LearningCode0
Reduced Kernel Dictionary LearningCode0
Subsampling Methods for Fast Electron Backscattered Diffraction Analysis—0
Generalized Time Warping Invariant Dictionary Learning for Time Series Classification and Clustering—0
Interpretable Neural Embeddings with Sparse Self-Representation—0
SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across StatesCode0
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning—0
Fast and Interpretable Nonlocal Neural Networks for Image Denoising via Group-Sparse Convolutional Dictionary LearningCode0
Dictionary Learning under Symmetries via Group Representations—0
Personalized Dictionary Learning for Heterogeneous Datasets—0
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