1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2022★ 1 cited
GMP*: Well-Tuned Gradual Magnitude Pruning Can Outperform Most BERT-Pruning Methods
Eldar Kurtic, Dan Alistarh
We revisit the performance of the classic gradual magnitude pruning (GMP) baseline for large language models, focusing on the classic BERT benchmark on various popular tasks. Despi…
cs.AI2022★ 1 cited
Vision for Bosnia and Herzegovina in Artificial Intelligence Age: Global Trends, Potential Opportunities, Selected Use-cases and Realistic Goals
Zlatan Ajanović, Emina Aličković, Aida Branković +7
Artificial Intelligence (AI) is one of the most promising technologies of the 21. century, with an already noticeable impact on society and the economy. With this work, we provide…