3 papers
cs.LG2023
A Survey on Multi-Objective based Parameter Optimization for Deep Learning
Mrittika Chakraborty, Wreetbhas Pal, Sanghamitra Bandyopadhyay +1
Deep learning models form one of the most powerful machine learning models for the extraction of important features. Most of the designs of deep neural models, i.e., the initializa…
cs.LG2021
Multipath Graph Convolutional Neural Networks
Rangan Das, Bikram Boote, Saumik Bhattacharya +1
Graph convolution networks have recently garnered a lot of attention for representation learning on non-Euclidean feature spaces. Recent research has focused on stacking multiple l…
cs.CV2019
Understanding Deep Learning Techniques for Image Segmentation
Swarnendu Ghosh, Nibaran Das, Ishita Das +1
The machine learning community has been overwhelmed by a plethora of deep learning based approaches. Many challenging computer vision tasks such as detection, localization, recogni…