Michael Goin

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 5

Top Topics

Language Models For Information Retrieval

Language Modelling

Relevance Model

Query Expansion

Top Venues

Publications

Abhinav Agarwalla, Abhay Gupta, Alexandre Marques, Shubhra Pandit, Michael Goin, Eldar Kurtic, Kevin Leong, Tuan Nguyen, Mahmoud Salem, Dan Alistarh, Sean Lie, Mark Kurtz
Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment. CoRR (2024)
Eldar Kurtic, Denis Kuznedelev, Elias Frantar, Michael Goin, Dan Alistarh
Sparse Fine-tuning for Inference Acceleration of Large Language Models. CoRR (2023)
Eldar Kurtic, Daniel Campos, Tuan Nguyen, Elias Frantar, Mark Kurtz, Benjamin Fineran, Michael Goin, Dan Alistarh
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models. CoRR (2022)
Eldar Kurtic, Daniel Campos, Tuan Nguyen, Elias Frantar, Mark Kurtz, Benjamin Fineran, Michael Goin, Dan Alistarh
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models. EMNLP (2022)
Mark Kurtz, Justin Kopinsky, Rati Gelashvili, Alexander Matveev, John Carr, Michael Goin, William M. Leiserson, Sage Moore, Nir Shavit, Dan Alistarh
Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks. ICML (2020)