research
∙
12/26/2022
Large Language Models Encode Clinical Knowledge
Large language models (LLMs) have demonstrated impressive capabilities i...
share
research
∙
09/14/2022
Joint Debiased Representation and Image Clustering Learning with Self-Supervision
Contrastive learning is among the most successful methods for visual rep...
research
∙
05/19/2022
Robust and Efficient Medical Imaging with Self-Supervision
Recent progress in Medical Artificial Intelligence (AI) has delivered sy...
research
∙
09/15/2021
Deep Bregman Divergence for Contrastive Learning of Visual Representations
Deep Bregman divergence measures divergence of data points using neural ...
research
∙
04/08/2021
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions
We develop and rigorously evaluate a deep learning based system that can...
research
∙
01/13/2021
Big Self-Supervised Models Advance Medical Image Classification
Self-supervised pretraining followed by supervised fine-tuning has seen ...
research
∙
05/19/2020
Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting
Recently data-driven image inpainting methods have made inspiring progre...
research
∙
03/03/2019
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations
The linear and non-flexible nature of deep convolutional models makes th...
research
∙
09/10/2017
