activity
20172020
most citedExplaining Deep Learning Models using Causal Inference

27 citations · 120 across the 14 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.LG2017★ 7 cited

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…

cs.CL2017

Hi, how can I help you?: Automating enterprise IT support help desks

Senthil Mani, Neelamadhav Gantayat, Rahul Aralikatte +7

Question answering is one of the primary challenges of natural language understanding. In realizing such a system, providing complex long answers to questions is a challenging task…

cs.CL2017

mAnI: Movie Amalgamation using Neural Imitation

Naveen Panwar, Shreya Khare, Neelamadhav Gantayat +3

Cross-modal data retrieval has been the basis of various creative tasks performed by Artificial Intelligence (AI). One such highly challenging task for AI is to convert a book into…

cs.SE2017★ 17 cited

DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models

Anush Sankaran, Rahul Aralikatte, Senthil Mani +3

Traditional software engineering programming paradigms are mostly object or procedure oriented, driven by deterministic algorithms. With the advent of deep learning and cognitive s…

cs.LG2017★ 24 cited

Fault in your stars: An Analysis of Android App Reviews

Rahul Aralikatte, Giriprasad Sridhara, Neelamadhav Gantayat +1

Mobile app distribution platforms such as Google Play Store allow users to share their feedback about downloaded apps in the form of a review comment and a corresponding star ratin…