Description
This method introduces several regularization schemes that can be applied to an Autoencoder. To make the model generative ex-post density estimation is proposed and consists in fitting a Mixture of Gaussian distribution on the train data embeddings after the model is trained.
Papers Using This Method
Argumentative Ensembling for Robust Recourse under Model Multiplicity2025-06-25Rule-Assisted Attribute Embedding2025-06-10DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection2025-05-11RAEncoder: A Label-Free Reversible Adversarial Examples Encoder for Dataset Intellectual Property Protection2025-01-01Automatic Prediction of the Performance of Every Parser2024-07-06Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering2024-03-28Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm2024-03-25RAEDiff: Denoising Diffusion Probabilistic Models Based Reversible Adversarial Examples Self-Generation and Self-Recovery2023-10-25RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation Maps2023-03-08Provable Unrestricted Adversarial Training without Compromise with Generalizability2023-01-22Schizophrenia detection based on EEG using Recurrent Auto-Encoder framework2022-07-09DreamNet: A Deep Riemannian Network based on SPD Manifold Learning for Visual Classification2022-06-16A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems2022-05-30Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data2022-03-08Probabilistic Robust Autoencoders for Outlier Detection2021-10-01ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data2021-07-16Adaptively Solving the Local-Minimum Problem for Deep Neural Networks2020-12-25Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein2020-10-05Deliberative Acting, Online Planning and Learning with Hierarchical Operational Models2020-10-02Recurrent autoencoder with sequence-aware encoding2020-09-15