My personal reading list for various academic articles
Traffic signs classification with a convolutional network
The Unreasonable Effectiveness of Recurrent Neural Networks
Introduction: AutoML for large scale image classification and object detection
Generative Models
Understand Deep Residual Networks — a simple, modular learning framework that has redefined state-of-the-art
Adversarial Examples Attacks
Adversarial Examples that Fool both Computer
Vision and Time-Limited Humans
PCA, t-SNE, AE Dimension Reduction
How to Use t-SNE Effectively
Visualizing the Hidden Activity of Artificial Neural Networks*
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers*
DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks*
AI2 : Training a big data machine to defend*
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis
The Google Brain Team — Looking Back on 2017 (Part 1 of 2)
How I carve out a scientific contribution in the broad field of visualization*
Autopsy Of A Deep Learning Paper*
* favroite reads