Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Megan Leszczynski

Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems


Aug 11, 2021
Laurel Orr, Atindriyo Sanyal, Xiao Ling, Karan Goel, Megan Leszczynski

* VLDB 2021 

  Access Paper or Ask Questions

Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps


Jan 05, 2021
Tri Dao, Nimit S. Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré

* International Conference on Learning Representations (ICLR) 2020 spotlight 

  Access Paper or Ask Questions

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


Oct 23, 2020
Laurel Orr, Megan Leszczynski, Simran Arora, Sen Wu, Neel Guha, Xiao Ling, Christopher Re


  Access Paper or Ask Questions

Understanding the Downstream Instability of Word Embeddings


Feb 29, 2020
Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré

* In Proceedings of the 3rd MLSys Conference, 2020 

  Access Paper or Ask Questions

Low-Memory Neural Network Training: A Technical Report


Apr 24, 2019
Nimit Sharad Sohoni, Christopher Richard Aberger, Megan Leszczynski, Jian Zhang, Christopher Ré


  Access Paper or Ask Questions

High-Accuracy Low-Precision Training


Mar 09, 2018
Christopher De Sa, Megan Leszczynski, Jian Zhang, Alana Marzoev, Christopher R. Aberger, Kunle Olukotun, Christopher Ré


  Access Paper or Ask Questions