Deep Learning Paper Reviews

Personal record for reviewing deep learning papers

Table of contents

1. anomaly detection
2. autoencoder
3. diffusion models
4. gan
5. gan inversion
6. gaussian mixture models
7. semantic segmentation
8. self supervised
9. stylegan
10. unsupervised representations
11. vision transformer

anomaly detection

210719 Memorizing Normality to Detect Anomaly #memory

autoencoder

220728 NVAE: A Deep Hierarchical Variational Autoencoder #hierarchical #spectral-regularization

diffusion models

220922 Diffusion-GAN: Training GANs with Diffusion #diffusion 220929 Diffusion Models: A Comprehensive Survey of Methods and Applications

gan

gan inversion

gaussian mixture models

sementic segmentation

220831 Unsupervised Segmentation of 3D Medical Images Based on Clustering and Deep Representation Learning #clustering #jule
220831 Segmentation of Intracranial Hemorrhage Using Semi-Supervised Multi-Task Attention-Based U-Net #attention #u-net #semi-supervised

self supervised

220818 Self-supervised Learning in Medicine and Healthcare #self-supervised
221117 Semantic Segmentation with Generative Models:Semi-Supervised Learning and Strong Out-of-Domain Generalization

stylegan

220824 Generator Knows What Discriminator Should Learn in Unconditional GANs #regularization
220831 Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP #sementic-segmentation #clip #clustering #knowledge-distilation

unsupervised representations

220831 Joint Unsupervised Learning of Deep Representations and Image Clusters #jule #clustering

vision transformer

220801 StyleSwin: Transformer-based GAN for High-resolution Image Generation #swin