Reliable18- Understand DNNs

3Reliable visualizing interpretable Attribution GAN understanding
Presenter Papers Paper URL Our Slides
Jack A Unified Approach to Interpreting Model Predictions PDF PDF
Jack “Why Should I Trust You?”: Explaining the Predictions of Any Classifier PDF PDF
Jack Visual Feature Attribution using Wasserstein GANs PDF PDF
Jack GAN Dissection: Visualizing and Understanding Generative Adversarial Networks PDF PDF
GaoJi Recent Interpretable machine learning papers PDF PDF
Jennifer The Building Blocks of Interpretability PDF PDF