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12/13/2022
TIER: Text-Image Entropy Regularization for CLIP-style models
In this paper, we study the effect of a novel regularization scheme on c...
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06/14/2022
Self-Supervision on Images and Text Reduces Reliance on Visual Shortcut Features
Deep learning models trained in a fully supervised manner have been show...
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05/19/2022
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction
The No Unmeasured Confounding Assumption is widely used to identify caus...
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03/26/2021
MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning
We propose a selective learning method using meta-learning and deep rein...
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10/02/2020
Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data
The Large Scale Visual Recognition Challenge based on the well-known Ima...
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11/03/2018
Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify Phenotypes
Biomedical association studies are increasingly done using clinical conc...
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06/01/2018
Opportunities in Machine Learning for Healthcare
Healthcare is a natural arena for the application of machine learning, e...
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04/15/2018
Adversarial Attacks Against Medical Deep Learning Systems
The discovery of adversarial examples has raised concerns about the prac...
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04/04/2018
Clinical Concept Embeddings Learned from Massive Sources of Medical Data
Word embeddings have emerged as a popular approach to unsupervised learn...
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04/15/2014
