5 citations · 5 across the 5 of their papers we have counts for
5 papers
Learned JPEG Compression for DNN Vision
Kaixiang Zheng, Ahmed H. Salamah, Siyu Chen +1
JPEG, a lossy image compression technique designed for human viewers, has maintained its dominance for decades. However, in the era of artificial intelligence (AI), a substantial p…
Dense Passage Retrieval in Conversational Search
Ahmed H. Salamah, Pierre McWhannel, Nicole Yan
Information retrieval systems have traditionally relied on exact term match methods such as BM25 for first-stage retrieval. However, recent advancements in neural network-based tec…
JPEG Inspired Deep Learning
Ahmed H. Salamah, Kaixiang Zheng, Yiwen Liu +1
Although it is traditionally believed that lossy image compression, such as JPEG compression, has a negative impact on the performance of deep neural networks (DNNs), it is shown b…
How to Train the Teacher Model for Effective Knowledge Distillation
Shayan Mohajer Hamidi, Xizhen Deng, Renhao Tan +2
Recently, it was shown that the role of the teacher in knowledge distillation (KD) is to provide the student with an estimate of the true Bayes conditional probability density (BCP…
High Performance Convolution Using Sparsity and Patterns for Inference in Deep Convolutional Neural Networks
Hossam Amer, Ahmed H. Salamah, Ahmad Sajedi +1
Deploying deep Convolutional Neural Networks (CNNs) is impacted by their memory footprint and speed requirements, which mainly come from convolution. Widely-used convolution algori…