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12/26/2022
Large Language Models Encode Clinical Knowledge
Large language models (LLMs) have demonstrated impressive capabilities i...
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09/14/2022
Joint Debiased Representation and Image Clustering Learning with Self-Supervision
Contrastive learning is among the most successful methods for visual rep...
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05/19/2022
Robust and Efficient Medical Imaging with Self-Supervision
Recent progress in Medical Artificial Intelligence (AI) has delivered sy...
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09/15/2021
Deep Bregman Divergence for Contrastive Learning of Visual Representations
Deep Bregman divergence measures divergence of data points using neural ...
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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...
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01/13/2021
Big Self-Supervised Models Advance Medical Image Classification
Self-supervised pretraining followed by supervised fine-tuning has seen ...
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05/19/2020
Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting
Recently data-driven image inpainting methods have made inspiring progre...
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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...
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09/10/2017