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07/18/2023
Multimodal LLMs for health grounded in individual-specific data
Foundation large language models (LLMs) have shown an impressive ability...
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03/18/2022
AI system for fetal ultrasound in low-resource settings
Despite considerable progress in maternal healthcare, maternal and perin...
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07/10/2020
Scientific Discovery by Generating Counterfactuals using Image Translation
Model explanation techniques play a critical role in understanding the s...
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01/23/2020
Detecting Deficient Coverage in Colonoscopies
Colorectal Cancer (CRC) is a global health problem, resulting in 900K de...
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07/10/2019
Explaining an increase in predicted risk for clinical alerts
Much work aims to explain a model's prediction on a static input. We con...
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03/28/2019
The Algorithmic Automation Problem: Prediction, Triage, and Human Effort
In a wide array of areas, algorithms are matching and surpassing the per...
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01/16/2019
TensorFlow.js: Machine Learning for the Web and Beyond
TensorFlow.js is a library for building and executing machine learning a...
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01/24/2018
Scalable and accurate deep learning for electronic health records
Predictive modeling with electronic health record (EHR) data is anticipa...
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11/14/2016
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
We propose a simple solution to use a single Neural Machine Translation ...
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09/26/2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Neural Machine Translation (NMT) is an end-to-end learning approach for ...
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06/24/2016
Wide & Deep Learning for Recommender Systems
Generalized linear models with nonlinear feature transformations are wid...
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06/15/2016
Smart Reply: Automated Response Suggestion for Email
In this paper we propose and investigate a novel end-to-end method for a...
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10/09/2014
BilBOWA: Fast Bilingual Distributed Representations without Word Alignments
We introduce BilBOWA (Bilingual Bag-of-Words without Alignments), a simp...
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10/16/2013
