Methods › General › Regularization › Discriminative Regularization

Discriminative Regularization

6 papers tagged archive 2025-07-28

Introduced by Alex Lamb et al. in Discriminative Regularization for Generative Models

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Discriminative Regularization is a regularization technique for variational autoencoders that uses representations from discriminative classifiers to augment the VAE objective function (the lower bound) corresponding to a generative model. Specifically, it encourages the model’s reconstructions to be close to the data example in a representation space defined by the hidden layers of highly-discriminative, neural network based classifiers.

Paper Source See Code · vdumoulin/discgen

Papers archive 2025-07-28

6 shown of 6, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic Classifier
29 Oct 2024 · 1 repository · arXiv:2410.22317
Why Fine-Tuning Struggles with Forgetting in Machine Unlearning? Theoretical Insights and a Remedial Approach
4 Oct 2024 · 0 repositories · arXiv:2410.03833
Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration
20 Jun 2024 · 1 repository · arXiv:2406.14534
Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes
17 Jun 2024 · 0 repositories · arXiv:2406.11659
Adaptive Discriminative Regularization for Visual Classification
2 Mar 2022 · 0 repositories · arXiv:2203.00833
Discriminative Regularization for Generative Models
9 Feb 2016 · 1 repository · arXiv:1602.03220

Tasks archive 2025-07-28

12 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

Task	Papers
Classification	1
Contrastive Learning	1
Data Augmentation	1
Decision Making	1
Image Generation	1
Image Segmentation	1
Machine Unlearning	1
Medical Image Segmentation	1
Model Optimization	1
Prompt Learning	1
Semantic Segmentation	1
Tumor Segmentation	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (6 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Regularization

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