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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 1–50 of 823 papers

TitleStatusHype
Improving Dictionary Learning with Gated Sparse AutoencodersCode3
Monet: Mixture of Monosemantic Experts for TransformersCode2
Deep TEN: Texture Encoding NetworkCode2
Identifying Functionally Important Features with End-to-End Sparse Dictionary LearningCode2
HyperSteer: Activation Steering at Scale with HypernetworksCode2
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement LearningCode2
Online matrix factorization for Markovian data and applications to Network Dictionary LearningCode1
Sketchformer: Transformer-based Representation for Sketched StructureCode1
Deep Micro-Dictionary Learning and Coding NetworkCode1
Mixed noise reduction via sparse error constraint representation of high frequency image for wildlife imageCode1
Sensing Theorems for Unsupervised Learning in Linear Inverse ProblemsCode1
DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding SpacesCode1
Towards Understanding the Nature of Attention with Low-Rank Sparse DecompositionCode1
When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition with Limited DataCode1
Gabor is Enough: Interpretable Deep Denoising with a Gabor Synthesis Dictionary PriorCode1
Greedy Frank-Wolfe Algorithm for Exemplar SelectionCode1
Efficient ADMM-based Algorithms for Convolutional Sparse CodingCode1
Attribute Group Editing for Reliable Few-shot Image GenerationCode1
Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary EnhancementCode1
GroupCDL: Interpretable Denoising and Compressed Sensing MRI via Learned Group-Sparsity and Circulant AttentionCode1
Learning Multiscale Convolutional Dictionaries for Image ReconstructionCode1
Learning low-rank latent mesoscale structures in networksCode1
Online Graph Dictionary LearningCode1
Poisson2Sparse: Self-Supervised Poisson Denoising From a Single ImageCode1
Efficient Dictionary Learning with Switch Sparse AutoencodersCode1
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image ClassificationCode1
Deep Convolutional Dictionary Learning for Image DenoisingCode1
Decomposing MLP Activations into Interpretable Features via Semi-Nonnegative Matrix FactorizationCode1
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factorsCode1
Vector Quantisation for Robust SegmentationCode1
An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image ReconstructionCode1
Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression ApproachCode1
Deep Roto-Translation Scattering for Object ClassificationCode1
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game ModelsCode1
A Concept-Based Explainability Framework for Large Multimodal ModelsCode1
A Personalized Zero-Shot ECG Arrhythmia Monitoring System: From Sparse Representation Based Domain Adaption to Energy Efficient Abnormal Beat Detection for Practical ECG SurveillanceCode1
A Model-driven Deep Neural Network for Single Image Rain RemovalCode1
A Structured Dictionary Perspective on Implicit Neural RepresentationsCode1
Deep Semantic Dictionary Learning for Multi-label Image ClassificationCode1
Dynamic Dictionary Learning for Remote Sensing Image SegmentationCode1
CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary LearningCode1
CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and DemosaicingCode1
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse ProblemsCode1
Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and LanguageCode1
Combating the Curse of Multilinguality in Cross-Lingual WSD by Aligning Sparse Contextualized Word RepresentationsCode1
Complete Dictionary Learning via _p-norm MaximizationCode1
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamicsCode1
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound ClassificationCode0
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound ClassificationCode0
Convolutional dictionary learning based auto-encoders for natural exponential-family distributionsCode0
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