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ORCIDMegan Leszczynski
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2020 – today
- 2023
[c6]Arun Tejasvi Chaganty
, Megan Leszczynski, Shu Zhang, Ravi Ganti, Krisztian Balog, Filip Radlinski:
Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset. SIGIR 2023: 2754-2764- [i10]Megan Leszczynski, Ravi Ganti, Shu Zhang, Krisztian Balog, Filip Radlinski, Fernando Pereira, Arun Tejasvi Chaganty:
Generating Synthetic Data for Conversational Music Recommendation Using Random Walks and Language Models. CoRR abs/2301.11489 (2023) - [i9]Arun Tejasvi Chaganty, Megan Leszczynski, Shu Zhang, Ravi Ganti, Krisztian Balog, Filip Radlinski:
Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset. CoRR abs/2303.06791 (2023) - 2022
- [c5]Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher Ré:
TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval. ACL (Findings) 2022: 2147-2166 - [i8]Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher Ré:
TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval. CoRR abs/2204.08173 (2022) - 2021
- [j1]Laurel J. Orr, Atindriyo Sanyal, Xiao Ling, Karan Goel, Megan Leszczynski:
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems. Proc. VLDB Endow. 14(12): 3178-3181 (2021) - [c4]Laurel J. Orr, Megan Leszczynski, Neel Guha, Sen Wu, Simran Arora, Xiao Ling, Christopher Ré:
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation. CIDR 2021 - [c3]Maya Varma, Laurel J. Orr, Sen Wu, Megan Leszczynski, Xiao Ling, Christopher Ré:
Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text. EMNLP (Findings) 2021: 4566-4575 - [i7]Laurel J. Orr, Atindriyo Sanyal, Xiao Ling, Karan Goel, Megan Leszczynski:
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems. CoRR abs/2108.05053 (2021) - [i6]Maya Varma, Laurel J. Orr, Sen Wu, Megan Leszczynski, Xiao Ling, Christopher Ré:
Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text. CoRR abs/2110.08228 (2021) - 2020
- [c2]Tri Dao, Nimit Sharad Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré:
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps. ICLR 2020 - [c1]Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré:
Understanding the Downstream Instability of Word Embeddings. MLSys 2020 - [i5]Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré:
Understanding the Downstream Instability of Word Embeddings. CoRR abs/2003.04983 (2020) - [i4]Laurel J. Orr, Megan Leszczynski, Simran Arora, Sen Wu, Neel Guha, Xiao Ling, Christopher Ré:
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation. CoRR abs/2010.10363 (2020) - [i3]Tri Dao, Nimit Sharad Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré:
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps. CoRR abs/2012.14966 (2020)
2010 – 2019
- 2019
- [i2]Nimit Sharad Sohoni, Christopher Richard Aberger, Megan Leszczynski, Jian Zhang, Christopher Ré:
Low-Memory Neural Network Training: A Technical Report. CoRR abs/1904.10631 (2019) - 2018
- [i1]Christopher De Sa, Megan Leszczynski, Jian Zhang, Alana Marzoev, Christopher R. Aberger, Kunle Olukotun, Christopher Ré:
High-Accuracy Low-Precision Training. CoRR abs/1803.03383 (2018)
Coauthor Index
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