Megan Leszczynski

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 17

Top Topics

Entity Retrieval

Named Entity Disambiguation

Maximal Frequent

Structured Representation

Top Venues

Proc. VLDB Endow.

Publications

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 (2023)
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 (2023)
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)
Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher Ré
TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval. ACL (Findings) (2022)
Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher Ré
TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval. CoRR (2022)
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)
Laurel J. Orr, Atindriyo Sanyal, Xiao Ling, Karan Goel, Megan Leszczynski
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems. CoRR (2021)
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) (2021)
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)
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 (2021)
Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré
Understanding the Downstream Instability of Word Embeddings. CoRR (2020)
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 (2020)
Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré
Understanding the Downstream Instability of Word Embeddings. MLSys (2020)
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 (2020)
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)
Nimit Sharad Sohoni, Christopher Richard Aberger, Megan Leszczynski, Jian Zhang, Christopher Ré
Low-Memory Neural Network Training: A Technical Report. CoRR (2019)
Christopher De Sa, Megan Leszczynski, Jian Zhang, Alana Marzoev, Christopher R. Aberger, Kunle Olukotun, Christopher Ré
High-Accuracy Low-Precision Training. CoRR (2018)