activity
20192023
most citedTorchXRayVision: A library of chest X-ray datasets and models

37 citations · 72 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023★ 1 cited

torchgfn: A PyTorch GFlowNet library

Joseph D. Viviano, Omar G. Younis, Sanghyeok Choi +3

The growing popularity of generative flow networks (GFlowNets or GFNs) from a range of researchers with diverse backgrounds and areas of expertise necessitates a library that facil…

cs.CV2021★ 2 cited

Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models

Enoch Tetteh, Joseph Viviano, Yoshua Bengio +2

Learning models that generalize under different distribution shifts in medical imaging has been a long-standing research challenge. There have been several proposals for efficient…

eess.IV2021★ 37 cited

TorchXRayVision: A library of chest X-ray datasets and models

Joseph Paul Cohen, Joseph D. Viviano, Paul Bertin +8

TorchXRayVision is an open source software library for working with chest X-ray datasets and deep learning models. It provides a common interface and common pre-processing chain fo…

cs.CL2021★ 18 cited

What's in the Box? A Preliminary Analysis of Undesirable Content in the Common Crawl Corpus

Alexandra Sasha Luccioni, Joseph D. Viviano

Whereas much of the success of the current generation of neural language models has been driven by increasingly large training corpora, relatively little research has been dedicate…

cs.CV2019★ 14 cited

Saliency is a Possible Red Herring When Diagnosing Poor Generalization

Joseph D. Viviano, Becks Simpson, Francis Dutil +2

Poor generalization is one symptom of models that learn to predict target variables using spuriously-correlated image features present only in the training distribution instead of…