Reliable18- Understand DNNs
| Presenter | Papers | Paper URL | Our Slides |
|---|---|---|---|
| Jack | A Unified Approach to Interpreting Model Predictions | ||
| Jack | “Why Should I Trust You?”: Explaining the Predictions of Any Classifier | ||
| Jack | Visual Feature Attribution using Wasserstein GANs | ||
| Jack | GAN Dissection: Visualizing and Understanding Generative Adversarial Networks | ||
| GaoJi | Recent Interpretable machine learning papers | ||
| Jennifer | The Building Blocks of Interpretability |