Dictionary Learning

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

6 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 180 papers with code (823 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Deep TEN: Texture Encoding Network
  8 Dec 2016 12 repositories listed Syntology ran 0 of 4 samples · 4 unverified · 2 pointer-only (licence)
  The representation is orderless and therefore is particularly useful for material and texture recognition.
• Convolutional Analysis Operator Learning: Acceleration and Convergence
  15 Feb 2018 5 repositories listed
  This paper proposes a new convolutional analysis operator learning (CAOL) framework that learns an analysis sparsifying regularizer with the convolution perspective, and develops a new convergent Block Proximal…
• Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification
  15 Aug 2016 5 repositories listed
  We show that the improved performance stems from the combination of a deep, high-capacity model and an augmented training set: this combination outperforms both the proposed CNN without augmentation and a "shallow"…
• Learning low-rank latent mesoscale structures in networks
  13 Feb 2021 4 repositories listed
  It is common to use networks to encode the architecture of interactions between entities in complex systems in the physical, biological, social, and information sciences.
• A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
  8 Apr 2017 4 repositories listed
  Firstly, we show that when each 2D image frame is reconstructed independently, the proposed method outperforms state-of-the-art 2D compressed sensing approaches such as dictionary learning-based MR image reconstruction,…
• A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction
  1 Mar 2017 4 repositories listed
  The acquisition of Magnetic Resonance Imaging (MRI) is inherently slow.
• Sparse Pursuit and Dictionary Learning for Blind Source Separation in Polyphonic Music Recordings
  1 Jun 2018 3 repositories listed
  In general, due to its pitch-invariance, our method is especially suitable for dealing with spectra from acoustic instruments, requiring only a minimal number of hyperparameters to be preset.
• When Are Nonconvex Problems Not Scary?
  21 Oct 2015 3 repositories listed
  In this note, we focus on smooth nonconvex optimization problems that obey: (1) all local minimizers are also global; and (2) around any saddle point or local maximizer, the objective has a negative directional…
• Sparsifying Parametric Models with L0 Regularization
  5 Sep 2024 2 repositories listed
  This document contains an educational introduction to the problem of sparsifying parametric models with L0 regularization.
• Improving Dictionary Learning with Gated Sparse Autoencoders
  24 Apr 2024 2 repositories listed
  Recent work has found that sparse autoencoders (SAEs) are an effective technique for unsupervised discovery of interpretable features in language models' (LMs) activations, by finding sparse, linear reconstructions of…
• Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models and Optimal Transport
  16 Apr 2024 2 repositories listed
  In this paper, we tackle Multi-Source Domain Adaptation (MSDA), a task in transfer learning where one adapts multiple heterogeneous, labeled source probability measures towards a different, unlabeled target measure.
• Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies
  22 Mar 2024 2 repositories listed
  Optimal control of parametric partial differential equations (PDEs) is crucial in many applications in engineering and science.
• Optimal Projections for Discriminative Dictionary Learning using the JL-lemma
  27 Aug 2023 2 repositories listed
  The dimensionality of such a random projection matrix is a random number that might not lead to a separable subspace structure in the transformed space.
• Multi-Source Domain Adaptation through Dataset Dictionary Learning in Wasserstein Space
  27 Jul 2023 2 repositories listed
  Based on our dictionary, we propose two novel methods for MSDA: DaDil-R, based on the reconstruction of labeled samples in the target domain, and DaDiL-E, based on the ensembling of classifiers learned on atom…
• Subtle Data Crimes: Naively training machine learning algorithms could lead to overly-optimistic results
  16 Sep 2021 2 repositories listed
  We demonstrate this phenomenon for inverse problem solvers and show how their biased performance stems from hidden data preprocessing pipelines.
• Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression Approach
  11 May 2021 2 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  Discovering dynamical models to describe underlying dynamical behavior is essential to draw decisive conclusions and engineering studies, e.
• Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction
  11 Apr 2021 2 repositories listed
  We also compare the proposed method to alternative approaches for combining dictionary-based methods with supervised learning in MR image reconstruction.
• Learning Multiscale Convolutional Dictionaries for Image Reconstruction
  25 Nov 2020 2 repositories listed
  To close the performance gap, we thus propose a multiscale convolutional dictionary structure.
• Semi-supervised dictionary learning with graph regularization and active points
  13 Sep 2020 2 repositories listed
  Supervised Dictionary Learning has gained much interest in the recent decade and has shown significant performance improvements in image classification.
• COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMF
  20 Apr 2020 2 repositories listed
  One of the main sources of difficulty is that a very limited amount of daily COVID-19 case data is available, and with few exceptions, the majority of countries are currently in the "exponential spread stage," and thus…
• CASTER: Predicting Drug Interactions with Chemical Substructure Representation
  15 Nov 2019 2 repositories listed
  Adverse drug-drug interactions (DDIs) remain a leading cause of morbidity and mortality.
• Greedy Frank-Wolfe Algorithm for Exemplar Selection
  6 Nov 2018 2 repositories listed
  In this paper, we consider the problem of selecting representatives from a data set for arbitrary supervised/unsupervised learning tasks.
• Multi-focus Image Fusion using dictionary learning and Low-Rank Representation
  23 Apr 2018 2 repositories listed
  In this paper, we propose a novel multi-focus image fusion method based on dictionary learning and LRR to get a better performance in both global and local structure.
• Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning
  7 Aug 2017 2 repositories listed
  Wasserstein barycenters) between dictionary atoms; such atoms are themselves synthetic histograms in the probability simplex.
• Fast Low-rank Shared Dictionary Learning for Image Classification
  27 Oct 2016 2 repositories listed
  Our dictionary learning framework is hence characterized by both a shared dictionary and particular (class-specific) dictionaries.
• Learning a low-rank shared dictionary for object classification
  31 Jan 2016 2 repositories listed
  Despite the fact that different objects possess distinct class-specific features, they also usually share common patterns.
• Multiple Instance Dictionary Learning using Functions of Multiple Instances
  9 Nov 2015 2 repositories listed
  A multiple instance dictionary learning method using functions of multiple instances (DL-FUMI) is proposed to address target detection and two-class classification problems with inaccurate training labels.
• Histopathological Image Classification using Discriminative Feature-oriented Dictionary Learning
  16 Jun 2015 2 repositories listed
  In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as presence of rich geometrical structures.
• Decomposing MLP Activations into Interpretable Features via Semi-Nonnegative Matrix Factorization
  12 Jun 2025 1 repository listed
  A central goal for mechanistic interpretability has been to identify the right units of analysis in large language models (LLMs) that causally explain their outputs.
• HyperSteer: Activation Steering at Scale with Hypernetworks
  3 Jun 2025 1 repository listed
  In this work, we introduce HyperSteer, a family of hypernetwork-based architectures which are trained end-to-end to generate steering vectors conditioned on the natural language steering prompts and the internals of the…

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.