Inspired by Dr. Andrew Ng's advice on how to read research papers, I will keep a list of research papers that either I have already read or plan on reading.
Research Paper Name | URL | Progress (*/10) |
---|---|---|
Attention is All You Need | arxiv | 10 |
Generative Adversarial Nets | arxiv | 10 |
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding | arxiv | 7 |
Conditional Generative Adversarial Nets | arxiv | 10 |
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks | arxiv | 10 |
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models | Link | 10 |
Automated Crowdturfing Attacks and Defenses in Online Review Systems | Link | 10 |
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks | arxiv | 5 |
Defending Against Neural Fake News | Link | 10 |
Explaining and Harnessing Adversarial Examples | arxiv | 10 |
Towards Evaluating the Robustness of Neural Networks | arxiv | 10 |
Robust Physical World Attacks on Deep Learning Visual Classification | arxiv | 10 |
Efficient Transformers: A Survey | arxiv | 1 |
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods | arxiv | 4 |