Uncertainty Quantification in Natural Language Explanations of Language Models

The PATA dataset

Code for paper https://arxiv.org/abs/2102.13186

GraphXAI: Resource to support the development and evaluation of GNN explainers

Code for paper: Are Large Language Models Post Hoc Explainers?

General Strategy for Unlearning in Graph Neural Networks

Code for paper "Towards Training GNNs using Explanation Directed Message Passing"

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

OpenXAI : Towards a Transparent Evaluation of Model Explanations

GraphXAI: Resource to support the development and evaluation of GNN explainers

Code for paper https://arxiv.org/abs/2102.13186

CoroNet: A Deep Network Architecture for Semi-Supervised Task-Based Identification of COVID-19 from Chest X-ray Images (https://www.medrxiv.org/content/10.1101/2020.04.14.20065722v1)

Estimating Example Difficulty using Variance of Gradients

Therapeutics Commons (TDC-2): Multimodal Foundation for Therapeutic Science

Thrilling tales of heroic feats by ML's larger-than-life champions.

Tutorials for Machine Learning on Graphs

MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning (NeurIPS 2020 Demo)

Automatic diagnosis of alzheimer

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)

We are building an open database of COVID-19 cases with chest X-ray or CT images.

Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"

Short symbol commands for LaTex

A Pytorch Deep Dream Implementation

matplotlib: plotting with Python