Megan Leszczynski

High-Accuracy Low-Precision Training

Christopher De, Megan Leszczynski, Jian Zhang et al. · arXiv (Cornell University) · 2018 · 74 citations · Full text

Engineering, Machine Learning, Computer Architecture +16

Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation

Laurel Orr, Megan Leszczynski, Simran Arora et al. · arXiv (Cornell University) · 2020 · 41 citations · Full text

Engineering, Ned Benchmarks, Semantic Web +17

Low-Memory Neural Network Training: A Technical Report

Nimit S. Sohoni, Christopher R. Aberger, Megan Leszczynski et al. · arXiv (Cornell University) · 2019 · 38 citations · Full text

Engineering, Machine Learning, Neural Network +16

Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text

Maya Varma, Laurel Orr, Sen Wu et al. · 2021 · 18 citations · Full text

Structured Prediction, Engineering, Semantic Web +20

Managing ML pipelines

Laurel Orr, Atindriyo Sanyal, Xiao Ling et al. · Proceedings of the VLDB Endowment · 2021 · 16 citations

New Embedding-centric Pipelines, Engineering, Machine Learning +21