7 citations · 8 across the 3 of their papers we have counts for
3 papers
VLCQ: Post-training quantization for deep neural networks using variable length coding
Reem Abdel-Salam, Ahmed H. Abdel-Gawad, Amr G. Wassal
Quantization plays a crucial role in efficiently deploying deep learning models on resource-constrained devices. Post-training quantization does not require access to the original…
Evaluating Neural Decompilation of Dart AOT Binaries: Fine-Tuning, Metric Validity, Specification Leakage, and Reliability
Raafat Abualazm, Ayman AboElhassan, Amr G. Wassal
We present an execution-based evaluation of neural decompilation for Dart ahead-of-time binaries and an audit of what its scores measure. Across six archived adapter-baseline compa…
A Survey on GAN Acceleration Using Memory Compression Technique
Dina Tantawy, Mohamed Zahran, Amr Wassal
Since its invention, Generative adversarial networks (GANs) have shown outstanding results in many applications. Generative Adversarial Networks are powerful yet, resource-hungry d…