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Megan Leszczynski
Megan Leszczynski
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Title
Cited by
Cited by
Year
High-accuracy low-precision training
C De Sa, M Leszczynski, J Zhang, A Marzoev, CR Aberger, K Olukotun, ...
arXiv preprint arXiv:1803.03383, 2018
1242018
Low-memory neural network training: A technical report
NS Sohoni, CR Aberger, M Leszczynski, J Zhang, C Ré
arXiv preprint arXiv:1904.10631, 2019
982019
Bootleg: Chasing the tail with self-supervised named entity disambiguation
L Orr, M Leszczynski, S Arora, S Wu, N Guha, X Ling, C Re
arXiv preprint arXiv:2010.10363, 2020
502020
Kaleidoscope: An efficient, learnable representation for all structured linear maps
T Dao, NS Sohoni, A Gu, M Eichhorn, A Blonder, M Leszczynski, A Rudra, ...
arXiv preprint arXiv:2012.14966, 2020
492020
Managing ml pipelines: feature stores and the coming wave of embedding ecosystems
L Orr, A Sanyal, X Ling, K Goel, M Leszczynski
arXiv preprint arXiv:2108.05053, 2021
232021
Cross-domain data integration for named entity disambiguation in biomedical text
M Varma, L Orr, S Wu, M Leszczynski, X Ling, C Ré
arXiv preprint arXiv:2110.08228, 2021
192021
Understanding the downstream instability of word embeddings
M Leszczynski, A May, J Zhang, S Wu, C Aberger, C Ré
Proceedings of Machine Learning and Systems 2, 262-290, 2020
172020
TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval
M Leszczynski, DY Fu, MF Chen, C Ré
arXiv preprint arXiv:2204.08173, 2022
112022
Generating synthetic data for conversational music recommendation using random walks and language models
M Leszczynski, R Ganti, S Zhang, K Balog, F Radlinski, F Pereira, ...
arXiv preprint arXiv:2301.11489, 2023
52023
Machine solver for physics word problems
M Leszczynski, J Moreira
52016
Beyond single items: Exploring user preferences in item sets with the conversational playlist curation dataset
AT Chaganty, M Leszczynski, S Zhang, R Ganti, K Balog, F Radlinski
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
42023
Talk the Walk: Synthetic Data Generation for Conversational Music Recommendation
M Leszczynski, S Zhang, R Ganti, K Balog, F Radlinski, F Pereira, ...
arXiv preprint arXiv:2301.11489, 2023
32023
Conversational Music Retrieval with Synthetic Data
ME Leszczynski, R Ganti, S Zhang, K Balog, F Radlinski, F Pereira, ...
Second Workshop on Interactive Learning for Natural Language Processing at …, 2022
32022
High-accuracy low-precision training
CR Aberger, C De Sa, M Leszczynski, A Marzoev, K Olukotun, C Ré, ...
arXiv preprint arXiv:1803.03383, 2018
32018
Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts
F Psallidas, ME Leszczynski, MH Namaki, A Floratou, A Agrawal, ...
Companion of the 2023 International Conference on Management of Data, 123-126, 2023
2023
Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset
A Tejasvi Chaganty, M Leszczynski, S Zhang, R Ganti, K Balog, ...
arXiv e-prints, arXiv: 2303.06791, 2023
2023
Exploiting Structured Data for Robust and Adaptable Natural Language Representations
ME Leszczynski
Stanford University, 2023
2023
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Articles 1–17