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01/11/2023
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
Self-supervised learning in vision-language processing exploits semantic...
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07/11/2022
Repairing Neural Networks by Leaving the Right Past Behind
Prediction failures of machine learning models often arise from deficien...
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04/21/2022
Making the Most of Text Semantics to Improve Biomedical Vision–Language Processing
Multi-modal data abounds in biomedicine, such as radiology images and re...
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12/09/2020
Secure Medical Image Analysis with CrypTFlow
We present CRYPTFLOW, a system that converts TensorFlow inference code i...
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11/15/2020
Towards Compliant Data Management Systems for Healthcare ML
The increasing popularity of machine learning approaches and the rising ...
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09/27/2019
Alleviating Privacy Attacks via Causal Learning
Machine learning models, especially deep neural networks have been shown...
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05/17/2019
Overfitting in Synthesis: Theory and Practice (Extended Version)
In syntax-guided synthesis (SyGuS), a synthesizer's goal is to automatic...
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05/17/2019
Overfitting in Synthesis: Theory and Practice (Extender Version)
In syntax-guided synthesis (SyGuS), a synthesizer's goal is to automatic...
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05/17/2019
Overfitting in Synthesis: Theory and Practice
In syntax-guided synthesis (SyGuS), a synthesizer's goal is to automatic...
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07/17/2018
Adaptive Neural Trees
Deep neural networks and decision trees operate on largely separate para...
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06/07/2018
Semi-Supervised Learning via Compact Latent Space Clustering
We present a novel cost function for semi-supervised learning of neural ...
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05/22/2018
Autofocus Layer for Semantic Segmentation
We propose the autofocus convolutional layer for semantic segmentation w...
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02/17/2017
Quantifying Program Bias
With the range and sensitivity of algorithmic decisions expanding at a b...
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12/28/2016
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
Significant advances have been made towards building accurate automatic ...
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10/19/2016
Fairness as a Program Property
We explore the following question: Is a decision-making program fair, fo...
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05/24/2016
Measuring Neural Net Robustness with Constraints
Despite having high accuracy, neural nets have been shown to be suscepti...
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03/23/2016
