Strubell, Emma

11 publications

TMLR 2025 Efficient Hardware Scaling and Diminishing Returns in Large-Scale Training of Language Models Jared Fernandez, Luca Wehrstedt, Leonid Shamis, Mostafa Elhoushi, Kalyan Saladi, Yonatan Bisk, Emma Strubell, Jacob Kahn

TMLR 2025 Expert Routing with Synthetic Data for Domain Incremental Learning Yewon Byun, Sanket Vaibhav Mehta, Saurabh Garg, Emma Strubell, Michael Oberst, Bryan Wilder, Zachary Chase Lipton

ICLR 2025 Holistically Evaluating the Environmental Impact of Creating Language Models Jacob Morrison, Clara Na, Jared Fernandez, Tim Dettmers, Emma Strubell, Jesse Dodge

NeurIPS 2025 What Is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions Sang Keun Choe, Hwijeen Ahn, Juhan Bae, Kewen Zhao, Youngseog Chung, Adithya Pratapa, Willie Neiswanger, Emma Strubell, Teruko Mitamura, Jeff Schneider, Eduard Hovy, Roger Baker Grosse, Eric P. Xing

ICLRW 2024 Source-Aware Training Enables Knowledge Attribution in Language Models Muhammad Khalifa, David Wadden, Emma Strubell, Honglak Lee, Lu Wang, Iz Beltagy, Hao Peng

JMLR 2023 An Empirical Investigation of the Role of Pre-Training in Lifelong Learning Sanket Vaibhav Mehta, Darshan Patil, Sarath Chandar, Emma Strubell

ICMLW 2023 Dissecting Efficient Architectures for Wake-Word Detection Cody Berger, Juncheng B Li, Yiyuan Li, Aaron Berger, Dmitri Berger, Karthik Ganesan, Emma Strubell, Florian Metze

NeurIPS 2023 Making Scalable Meta Learning Practical Sang Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, Eric P. Xing

ICMLW 2023 The Framework Tax: Disparities Between Inference Efficiency in Research and Deployment Jared Fernandez, Jacob Kahn, Clara Na, Yonatan Bisk, Emma Strubell

AAAI 2020 Energy and Policy Considerations for Modern Deep Learning Research Emma Strubell, Ananya Ganesh, Andrew McCallum

AAAI 2018 Multi-Task Learning for Parsing the Alexa Meaning Representation Language Vittorio Perera, Tagyoung Chung, Thomas Kollar, Emma Strubell