56 citations · 90 across the 3 of their papers we have counts for
3 papers
Target Aware Network Architecture Search and Compression for Efficient Knowledge Transfer
S. H. Shabbeer Basha, Debapriya Tula, Sravan Kumar Vinakota +1
Transfer Learning enables Convolutional Neural Networks (CNN) to acquire knowledge from a source domain and transfer it to a target domain, where collecting large-scale annotated e…
AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning
S. H. Shabbeer Basha, Sravan Kumar Vinakota, Viswanath Pulabaigari +2
Transfer learning enables solving a specific task having limited data by using the pre-trained deep networks trained on large-scale datasets. Typically, while transferring the lear…
AutoFCL: Automatically Tuning Fully Connected Layers for Handling Small Dataset
S. H. Shabbeer Basha, Sravan Kumar Vinakota, Shiv Ram Dubey +2
Deep Convolutional Neural Networks (CNN) have evolved as popular machine learning models for image classification during the past few years, due to their ability to learn the probl…