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Ivy: Instrumental Variable Synthesis for Causal Inference
A popular way to estimate the causal effect of a variable x on y from ob...
04/11/2020 ∙ by Zhaobin Kuang, et al. ∙
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Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging
Machine learning models for medical image analysis often suffer from poo...
09/27/2019 ∙ by Luke Oakden-Rayner, et al. ∙
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Cross-Modal Data Programming Enables Rapid Medical Machine Learning
Labeling training datasets has become a key barrier to building medical ...
03/26/2019 ∙ by Jared Dunnmon, et al. ∙
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Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities
The ability to obtain accurate food security metrics in developing areas...
02/13/2019 ∙ by Jared Dunnmon, et al. ∙
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Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking
Obtaining reliable data describing local Food Security Metrics (FSM) at ...
02/13/2019 ∙ by Swetava Ganguli, et al. ∙
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Training Complex Models with Multi-Task Weak Supervision
As machine learning models continue to increase in complexity, collectin...
10/05/2018 ∙ by Alexander Ratner, et al. ∙
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Learning to Compose Domain-Specific Transformations for Data Augmentation
Data augmentation is a ubiquitous technique for increasing the size of l...
09/06/2017 ∙ by Alexander J. Ratner, et al. ∙
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Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors
Breast cancer has the highest incidence and second highest mortality rat...
05/17/2017 ∙ by Darvin Yi, et al. ∙
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Machine Learning for Better Models for Predicting Bond Prices
Bond prices are a reflection of extremely complex market interactions an...
03/31/2017 ∙ by Swetava Ganguli, et al. ∙
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