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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
Poisson2Sparse: Self-Supervised Poisson Denoising From a Single ImageCode1
Decomposing MLP Activations into Interpretable Features via Semi-Nonnegative Matrix FactorizationCode1
A Structured Dictionary Perspective on Implicit Neural RepresentationsCode1
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factorsCode1
Vector Quantisation for Robust SegmentationCode1
CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and DemosaicingCode1
An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image ReconstructionCode1
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game ModelsCode1
Attribute Group Editing for Reliable Few-shot Image GenerationCode1
A Concept-Based Explainability Framework for Large Multimodal ModelsCode1
Combating the Curse of Multilinguality in Cross-Lingual WSD by Aligning Sparse Contextualized Word RepresentationsCode1
A Model-driven Deep Neural Network for Single Image Rain RemovalCode1
DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding SpacesCode1
A Personalized Zero-Shot ECG Arrhythmia Monitoring System: From Sparse Representation Based Domain Adaption to Energy Efficient Abnormal Beat Detection for Practical ECG SurveillanceCode1
Deep Roto-Translation Scattering for Object ClassificationCode1
CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary LearningCode1
Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression ApproachCode1
Deep Convolutional Dictionary Learning for Image DenoisingCode1
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse ProblemsCode1
Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary EnhancementCode1
Greedy Frank-Wolfe Algorithm for Exemplar SelectionCode1
Learning Multiscale Convolutional Dictionaries for Image ReconstructionCode1
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning—0
Alignment Distances on Systems of Bags—0
Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Denoising—0
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