1 code implementation • 13 Dec 2022 • Anil Palepu, Andrew L. Beam
We formalize this observation using a novel regularization scheme that penalizes the entropy of the text-token to image-patch similarity scores.
1 code implementation • 19 May 2022 • Benjamin Kompa, David R. Bellamy, Thomas Kolokotrones, James M. Robins, Andrew L. Beam
In this work, we introduce a flexible and scalable method based on a deep neural network to estimate causal effects in the presence of unmeasured confounding using proximal inference.
1 code implementation • 26 Mar 2021 • Akshay Smit, Damir Vrabac, Yujie He, Andrew Y. Ng, Andrew L. Beam, Pranav Rajpurkar
We propose a selective learning method using meta-learning and deep reinforcement learning for medical image interpretation in the setting of limited labeling resources.
no code implementations • 2 Oct 2020 • David Bellamy, Leo Celi, Andrew L. Beam
The Large Scale Visual Recognition Challenge based on the well-known Imagenet dataset catalyzed an intense flurry of progress in computer vision.
no code implementations • 17 Nov 2018 • Natalia Antropova, Andrew L. Beam, Brett K. Beaulieu-Jones, Irene Chen, Corey Chivers, Adrian Dalca, Sam Finlayson, Madalina Fiterau, Jason Alan Fries, Marzyeh Ghassemi, Mike Hughes, Bruno Jedynak, Jasvinder S. Kandola, Matthew McDermott, Tristan Naumann, Peter Schulam, Farah Shamout, Alexandre Yahi
This volume represents the accepted submissions from the Machine Learning for Health (ML4H) workshop at the conference on Neural Information Processing Systems (NeurIPS) 2018, held on December 8, 2018 in Montreal, Canada.
1 code implementation • 3 Nov 2018 • Brett K. Beaulieu-Jones, Isaac S. Kohane, Andrew L. Beam
Biomedical association studies are increasingly done using clinical concepts, and in particular diagnostic codes from clinical data repositories as phenotypes.
no code implementations • 1 Jun 2018 • Marzyeh Ghassemi, Tristan Naumann, Peter Schulam, Andrew L. Beam, Irene Y. Chen, Rajesh Ranganath
Modern electronic health records (EHRs) provide data to answer clinically meaningful questions.
1 code implementation • 15 Apr 2018 • Samuel G. Finlayson, Hyung Won Chung, Isaac S. Kohane, Andrew L. Beam
The discovery of adversarial examples has raised concerns about the practical deployment of deep learning systems.
4 code implementations • 4 Apr 2018 • Andrew L. Beam, Benjamin Kompa, Allen Schmaltz, Inbar Fried, Griffin Weber, Nathan P. Palmer, Xu Shi, Tianxi Cai, Isaac S. Kohane
Word embeddings are a popular approach to unsupervised learning of word relationships that are widely used in natural language processing.
1 code implementation • 15 Apr 2014 • Andrew L. Beam, Alison Motsinger-Reif, Jon Doyle
Discovering causal genetic variants from large genetic association studies poses many difficult challenges.