Michael Goin

According to our database, Michael Goin authored at least 5 papers between 2020 and 2024.

Collaborative distances:

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

2024

Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization.

Vage Egiazarian, Denis Kuznedelev, Anton Voronov, Ruslan Svirschevski, Michael Goin, Daniil Pavlov, Dan Alistarh, Dmitry Baranchuk

CoRR, 2024

Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment.

Abhinav Agarwalla, Abhay Gupta, Alexandre Marques, Shubhra Pandit, Michael Goin, Eldar Kurtic, Kevin Leong, Tuan Nguyen, Mahmoud Salem, Dan Alistarh, Sean Lie, Mark Kurtz

CoRR, 2024

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