most citedAda-QPacknet -- adaptive pruning with bit width reduction as an efficient continual learning method without forgetting

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 1 cited

Ada-QPacknet -- adaptive pruning with bit width reduction as an efficient continual learning method without forgetting

Marcin Pietroń, Dominik Żurek, Kamil Faber +1

Continual Learning (CL) is a process in which there is still huge gap between human and deep learning model efficiency. Recently, many CL algorithms were designed. Most of them hav…

cs.CV2023

Computer-Aided Cytology Diagnosis in Animals: CNN-Based Image Quality Assessment for Accurate Disease Classification

Jan Krupiński, Maciej Wielgosz, Szymon Mazurek +12

This paper presents a computer-aided cytology diagnosis system designed for animals, focusing on image quality assessment (IQA) using Convolutional Neural Networks (CNNs). The syst…