16 citations · 31 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Can Physics Informed Neural Operators Self Improve?
Ritam Majumdar, Amey Varhade, Shirish Karande +1
Self-training techniques have shown remarkable value across many deep learning models and tasks. However, such techniques remain largely unexplored when considered in the context o…
cs.CV2017★ 15 cited
Knowledge distillation using unlabeled mismatched images
Mandar Kulkarni, Kalpesh Patil, Shirish Karande
Current approaches for Knowledge Distillation (KD) either directly use training data or sample from the training data distribution. In this paper, we demonstrate effectiveness of '…
cs.LG2017★ 16 cited
Layer-wise training of deep networks using kernel similarity
Mandar Kulkarni, Shirish Karande
Deep learning has shown promising results in many machine learning applications. The hierarchical feature representation built by deep networks enable compact and precise encoding…