Michael Goin

According to our database, Michael Goin authored at least 3 papers between 2020 and 2023.

Collaborative distances:

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

2023

Sparse Fine-tuning for Inference Acceleration of Large Language Models.

Eldar Kurtic, Denis Kuznedelev, Elias Frantar, Michael Goin, Dan Alistarh

CoRR, 2023

2022

The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models.

Eldar Kurtic, Daniel Campos, Tuan Nguyen, Elias Frantar, Mark Kurtz, Benjamin Fineran, Michael Goin, Dan Alistarh

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2020

Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks.

Mark Kurtz, Justin Kopinsky, Rati Gelashvili, Alexander Matveev, John Carr, Michael Goin, William M. Leiserson, Sage Moore, Nir Shavit, Dan Alistarh

Proceedings of the 37th International Conference on Machine Learning, 2020