39 citations · 47 across the 2 of their papers we have counts for
4 papers
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation
Yen Nhi Truong Vu, Richard Wang, Niranjan Balachandar +3
Self-supervised contrastive learning between pairs of multiple views of the same image has been shown to successfully leverage unlabeled data to produce meaningful visual represent…
Adversarial Attacks on Binary Image Recognition Systems
Eric Balkanski, Harrison Chase, Kojin Oshiba +3
We initiate the study of adversarial attacks on models for binary (i.e. black and white) image classification. Although there has been a great deal of work on attacking models for…
AdaLead: A simple and robust adaptive greedy search algorithm for sequence design
Sam Sinai, Richard Wang, Alexander Whatley +3
Efficient design of biological sequences will have a great impact across many industrial and healthcare domains. However, discovering improved sequences requires solving a difficul…
Adversarial NLI for Factual Correctness in Text Summarisation Models
Mario Barrantes, Benedikt Herudek, Richard Wang
We apply the Adversarial NLI dataset to train the NLI model and show that the model has the potential to enhance factual correctness in abstract summarization. We follow the work o…