2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 2 cited
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization
Xiang Meng, Shibal Ibrahim, Kayhan Behdin +3
Structured pruning is a promising approach for reducing the inference costs of large vision and language models. By removing carefully chosen structures, e.g., neurons or attention…
stat.ML2023★ 1 cited
On Statistical Properties of Sharpness-Aware Minimization: Provable Guarantees
Kayhan Behdin, Rahul Mazumder
Sharpness-Aware Minimization (SAM) is a recent optimization framework aiming to improve the deep neural network generalization, through obtaining flatter (i.e. less sharp) solution…