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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 401–450 of 823 papers

TitleStatusHype
Efficient Dictionary Learning via Very Sparse Random Projections—0
Efficient Dictionary Learning with Sparseness-Enforcing Projections—0
Efficient GPU Implementation for Single Block Orthogonal Dictionary Learning—0
Efficient Large-Scale Similarity Search Using Matrix Factorization—0
Efficient Matrix Factorization Via Householder Reflections—0
Efficient Multi-Domain Dictionary Learning with GANs—0
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) - The _0 Method—0
_1-K-SVD: A Robust Dictionary Learning Algorithm With Simultaneous Update—0
Energy Disaggregation via Deep Temporal Dictionary Learning—0
Enhancing Predictive Capabilities in Data-Driven Dynamical Modeling with Automatic Differentiation: Koopman and Neural ODE Approaches—0
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis—0
Estimating the distribution of Galaxy Morphologies on a continuous space—0
Evaluating Sparse Autoencoders: From Shallow Design to Matching Pursuit—0
Evolutionary Simplicial Learning as a Generative and Compact Sparse Framework for Classification—0
Evolving Dictionary Representation for Few-shot Class-incremental Learning—0
Exact Sparse Orthogonal Dictionary Learning—0
Example Selection For Dictionary Learning—0
Explainable Trajectory Representation through Dictionary Learning—0
Exploiting Low-dimensional Structures to Enhance DNN Based Acoustic Modeling in Speech Recognition—0
Exploring the Effect of Sparse Recovery on the Quality of Image Superresolution—0
Exploring the Limitations of Structured Orthogonal Dictionary Learning—0
Extended dynamic mode decomposition with dictionary learning using neural ordinary differential equations—0
Extractive Summarization by Maximizing Semantic Volume—0
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds—0
Face Recognition using Multi-Modal Low-Rank Dictionary Learning—0
Fast and robust tensor decomposition with applications to dictionary learning—0
Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics—0
Fast Convolutional Dictionary Learning off the Grid—0
Fast greedy algorithms for dictionary selection with generalized sparsity constraints—0
Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction—0
Fast Orthonormal Sparsifying Transforms Based on Householder Reflectors—0
Fast Rotational Sparse Coding—0
Fast Structured Orthogonal Dictionary Learning using Householder Reflections—0
Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning—0
Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation—0
Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships—0
Finding GEMS: Multi-Scale Dictionaries for High-Dimensional Graph Signals—0
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications—0
First and Second Order Methods for Online Convolutional Dictionary Learning—0
Flexible Multi-layer Sparse Approximations of Matrices and Applications—0
Frame-based Sparse Analysis and Synthesis Signal Representations and Parseval K-SVD—0
Frequency Regularized Deep Convolutional Dictionary Learning and Application to Blind Denoising—0
FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications—0
From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models—0
Functional connectome fingerprinting: Identifying individuals and predicting cognitive function via deep learning—0
Gaussian Process Convolutional Dictionary Learning—0
Compressive Sensing and Neural Networks from a Statistical Learning Perspective—0
Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks—0
Generalized Adaptive Dictionary Learning via Domain Shift Minimization—0
Generalized Conditional Gradient for Sparse Estimation—0
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