Sachin Mehta

DeFINE: DEep Factorized INput Token Embeddings for Neural Sequence Modeling

2019 · arXiv (Cornell University)

For sequence models with large vocabularies, a majority of network parameters lie in the input and output layers. In this work, we describe a new method, DeFINE, for learning deep token representations efficiently. Our architecture …

Analysis of Regions of Interest and Distractor Regions in Breast Biopsy Images

2021

This paper studies why pathologists can misdiagnose diagnostically challenging breast biopsy cases, using a data set of 240 whole slide images (WSIs). Three experienced pathologists agreed on a consensus reference ground-truth diagnosis for each slide …