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 |
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