5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2023
Post-training Model Quantization Using GANs for Synthetic Data Generation
Athanasios Masouris, Mansi Sharma, Adrian Boguszewski +3
Quantization is a widely adopted technique for deep neural networks to reduce the memory and computational resources required. However, when quantized, most models would need a sui…
cs.SE2020★ 5 cited
Revisiting Deep Neural Network Test Coverage from the Test Effectiveness Perspective
Ming Yan, Junjie Chen, Xuejie Cao +3
Many test coverage metrics have been proposed to measure the Deep Neural Network (DNN) testing effectiveness, including structural coverage and non-structural coverage. These test…