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Density estimation using deep generative neural networks | PNAS
Density estimation using deep generative neural networks | PNAS

Exploiting Generative Models in Discriminative Classifiers
Exploiting Generative Models in Discriminative Classifiers

MS-ANet: deep learning for automated multi-label thoracic disease detection and classification [PeerJ]
MS-ANet: deep learning for automated multi-label thoracic disease detection and classification [PeerJ]

Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network

Exploiting Generative Models in Discriminative Classifiers
Exploiting Generative Models in Discriminative Classifiers

Creating artificial human genomes using generative neural networks | PLOS Genetics
Creating artificial human genomes using generative neural networks | PLOS Genetics

Predictive and generative machine learning models for photonic crystals
Predictive and generative machine learning models for photonic crystals

PDF] Deep Hybrid Models: Bridging Discriminative and Generative Approaches | Semantic Scholar
PDF] Deep Hybrid Models: Bridging Discriminative and Generative Approaches | Semantic Scholar

Remote Sensing | Free Full-Text | License Plate Image Reconstruction Based on Generative Adversarial Networks | HTML
Remote Sensing | Free Full-Text | License Plate Image Reconstruction Based on Generative Adversarial Networks | HTML

Frontiers | From Shallow to Deep: Exploiting Feature-Based Classifiers for Domain Adaptation in Semantic Segmentation
Frontiers | From Shallow to Deep: Exploiting Feature-Based Classifiers for Domain Adaptation in Semantic Segmentation

Exploiting Generative Models in Discriminative Classifiers
Exploiting Generative Models in Discriminative Classifiers

Frontiers | Learning the Regulatory Code of Gene Expression
Frontiers | Learning the Regulatory Code of Gene Expression

A survey on semi-supervised learning | SpringerLink
A survey on semi-supervised learning | SpringerLink

PDF) Combining deep generative and discriminative models for Bayesian semi-supervised learning
PDF) Combining deep generative and discriminative models for Bayesian semi-supervised learning

Lars Mescheder | Max Planck Institute for Intelligent Systems
Lars Mescheder | Max Planck Institute for Intelligent Systems

Applied Sciences | Free Full-Text | Improving Generative and Discriminative Modelling Performance by Implementing Learning Constraints in Encapsulated Variational Autoencoders | HTML
Applied Sciences | Free Full-Text | Improving Generative and Discriminative Modelling Performance by Implementing Learning Constraints in Encapsulated Variational Autoencoders | HTML

PDF) Generative or Discriminative? Getting the Best of Both Worlds
PDF) Generative or Discriminative? Getting the Best of Both Worlds

Predicting Lung Cancers Using Epidemiological Data: A Generative- Discriminative Framework
Predicting Lung Cancers Using Epidemiological Data: A Generative- Discriminative Framework

Density estimation using deep generative neural networks | PNAS
Density estimation using deep generative neural networks | PNAS

Exploiting Generative Models in Discriminative Classifiers
Exploiting Generative Models in Discriminative Classifiers

Multiple instance learning tracking based on Fisher linear discriminant with incorporated priors - Zhiyu Zhou, Xu Gao, Jingsong Xia, Zefei Zhu, Donghe Yang, Jiaxin Quan, 2018
Multiple instance learning tracking based on Fisher linear discriminant with incorporated priors - Zhiyu Zhou, Xu Gao, Jingsong Xia, Zefei Zhu, Donghe Yang, Jiaxin Quan, 2018

| (A) Graphical representation of a hierarchical generative model... | Download Scientific Diagram
| (A) Graphical representation of a hierarchical generative model... | Download Scientific Diagram

Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling [PeerJ]
Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling [PeerJ]

Machine Learning-based state-of-the-art methods for the classification of RNA-Seq data | bioRxiv
Machine Learning-based state-of-the-art methods for the classification of RNA-Seq data | bioRxiv

Sensors | Free Full-Text | Discriminative Learning Approach Based on Flexible Mixture Model for Medical Data Categorization and Recognition | HTML
Sensors | Free Full-Text | Discriminative Learning Approach Based on Flexible Mixture Model for Medical Data Categorization and Recognition | HTML

Frontiers | Challenges of Integrative Disease Modeling in Alzheimer's Disease
Frontiers | Challenges of Integrative Disease Modeling in Alzheimer's Disease