Megan Leszczynski

According to our database, Megan Leszczynski authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Generating Synthetic Data for Conversational Music Recommendation Using Random Walks and Language Models.

Megan Leszczynski, Ravi Ganti, Shu Zhang, Krisztian Balog, Filip Radlinski, Fernando Pereira, Arun Tejasvi Chaganty

CoRR, 2023

Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset.

Arun Tejasvi Chaganty, Megan Leszczynski, Shu Zhang, Ravi Ganti, Krisztian Balog, Filip Radlinski

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval.

Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher Ré

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

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

Laurel J. Orr, Atindriyo Sanyal, Xiao Ling, Karan Goel, Megan Leszczynski

Proc. VLDB Endow., 2021

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

Maya Varma, Laurel J. Orr, Sen Wu, Megan Leszczynski, Xiao Ling, Christopher Ré

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

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

Laurel J. Orr, Megan Leszczynski, Neel Guha, Sen Wu, Simran Arora, Xiao Ling, Christopher Ré

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

Understanding the Downstream Instability of Word Embeddings.

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

Proceedings of the Third Conference on Machine Learning and Systems, 2020

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

Tri Dao, Nimit Sharad Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Low-Memory Neural Network Training: A Technical Report.

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

CoRR, 2019

2018

High-Accuracy Low-Precision Training.

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

CoRR, 2018