27 citations · 96 across the 15 of their papers we have counts for
8 papers · 1 filter
CuraLoc: Repository-Level Fault Localization via Planned Code Inspection
Sangeeta Warrier, Anush Sankaran, Ryen W. White +1
A bug report describes what went wrong, but rarely where the code should change. Existing repository-level localization methods often let language models iteratively decide what co…
On Causal Inference for Data-free Structured Pruning
Martin Ferianc, Anush Sankaran, Olivier Mastropietro +2
Neural networks (NNs) are making a large impact both on research and industry. Nevertheless, as NNs' accuracy increases, it is followed by an expansion in their size, required numb…
Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization
Anush Sankaran, Olivier Mastropietro, Ehsan Saboori +4
Designing deep learning-based solutions is becoming a race for training deeper models with a greater number of layers. While a large-size deeper model could provide competitive acc…
AuthorGAN: Improving GAN Reproducibility using a Modular GAN Framework
Raunak Sinha, Anush Sankaran, Mayank Vatsa +1
Generative models are becoming increasingly popular in the literature, with Generative Adversarial Networks (GAN) being the most successful variant, yet. With this increasing deman…
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…