32 citations · 37 across the 3 of their papers we have counts for
3 papers
eess.IV2021
MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation
Zheng Yuan, Andre Esteva, Ran Xu
Few-shot learning is a standard practice in most deep learning based histopathology image segmentation, given the relatively low number of digitized slides that are generally avail…
stat.ML2021★ 5 cited
Data Shapley Valuation for Efficient Batch Active Learning
Amirata Ghorbani, James Zou, Andre Esteva
Annotating the right set of data amongst all available data points is a key challenge in many machine learning applications. Batch active learning is a popular approach to address…
cs.IR2020★ 32 cited
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization
Andre Esteva, Anuprit Kale, Romain Paulus +4
The COVID-19 global pandemic has resulted in international efforts to understand, track, and mitigate the disease, yielding a significant corpus of COVID-19 and SARS-CoV-2-related…