2 papers
cs.CV2026
MixFrag: Fragility-Guided Mixed-Precision Post-Training Quantization for Vision Transformers
Md. Mehrab Hossain Opi, Robiul Islam Ryad, Md. Umar Faruk
Post-training quantization (PTQ) has emerged as an effective solution for deploying Vision Transformers (ViTs) on resource-constrained devices. However, existing PTQ methods typica…
cs.CL2025
Accelerating Bangla NLP Tasks with Automatic Mixed Precision: Resource-Efficient Training Preserving Model Efficacy
Md Mehrab Hossain Opi, Sumaiya Khan, Moshammad Farzana Rahman
Training models for Natural Language Processing (NLP) requires substantial computational resources and time, posing significant challenges, especially for NLP development in Bangla…