Detecting Overfitting of Deep Generative Networks via Latent Recovery
Mathematics | Free Full-Text | Enhancement of Image Classification Using Transfer Learning and GAN-Based Synthetic Data Augmentation
Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning | Science
A survey on Image Data Augmentation for Deep Learning | Journal of Big Data | Full Text
Event generation and statistical sampling for physics with deep generative models and a density information buffer | Nature Communications
ProGAN: Training starts with generator G and discriminator D... | Download Scientific Diagram
Mathematics | Free Full-Text | Image Reconstruction with Multiscale Interest Points Based on a Conditional Generative Adversarial Network
generative models - What are the current methods to check for GAN overfitting? - Cross Validated
Electronics | Free Full-Text | BEGAN v3: Avoiding Mode Collapse in GANs Using Variational Inference
Different methods for mitigating overfitting on Neural Networks | Quantdare
Detecting Overfitting of Deep Generative Networks via Latent Recovery
Detecting Overfitting of Deep Generative Networks via Latent Recovery – arXiv Vanity
Reconstructing medical images using Generative Adversarial Networks (GANs) | by Nitin Dang | Jovian — Data Science and Machine Learning
Applied Sciences | Free Full-Text | GAN-TL: Generative Adversarial Networks with Transfer Learning for MRI Reconstruction
The architecture of DenseBlock and mDCSRN-GAN Network. The generator as... | Download Scientific Diagram
Applied Sciences | Free Full-Text | Extended Autoencoder for Novelty Detection with Reconstruction along Projection Pathway
Applied Sciences | Free Full-Text | Research on Improved Deep Convolutional Generative Adversarial Networks for Insufficient Samples of Gas Turbine Rotor System Fault Diagnosis
Super-resolution generative adversarial networks of randomly-seeded fields | Nature Machine Intelligence
Cycle-consistent adversarial networks improves generalizability of radiomics model in grading meningiomas on external validation | Scientific Reports
Reconstruction performance of our proposed method and VDSR with upscale... | Download Scientific Diagram
Time series anomaly detection — in the era of deep learning | by MIT — Data to AI Lab | Data to AI Lab | MIT | Medium
Remote Sensing | Free Full-Text | Generative Adversarial Network Synthesis of Hyperspectral Vegetation Data
