25 citations · 68 across the 8 of their papers we have counts for
4 papers · 1 filter
Coverage Testing of Deep Learning Models using Dataset Characterization
Senthil Mani, Anush Sankaran, Srikanth Tamilselvam +1
Deep Neural Networks (DNNs), with its promising performance, are being increasingly used in safety critical applications such as autonomous driving, cancer detection, and secure au…
"You might also like this model": Data Driven Approach for Recommending Deep Learning Models for Unknown Image Datasets
Ameya Prabhu, Riddhiman Dasgupta, Anush Sankaran +2
For an unknown (new) classification dataset, choosing an appropriate deep learning architecture is often a recursive, time-taking, and laborious process. In this research, we propo…
Explaining Deep Learning Models using Causal Inference
Tanmayee Narendra, Anush Sankaran, Deepak Vijaykeerthy +1
Although deep learning models have been successfully applied to a variety of tasks, due to the millions of parameters, they are becoming increasingly opaque and complex. In order t…
DLPaper2Code: Auto-generation of Code from Deep Learning Research Papers
Akshay Sethi, Anush Sankaran, Naveen Panwar +2
With an abundance of research papers in deep learning, reproducibility or adoption of the existing works becomes a challenge. This is due to the lack of open source implementations…