Naveen Panwar
Naveen Panwar
Staff Research Engineer, IBM Research AI
Verified email at in.ibm.com - Homepage
Title
Cited by
Cited by
Year
DLPaper2Code: Auto-generation of code from deep learning research papers
A Sethi, A Sankaran, N Panwar, S Khare, S Mani
arXiv preprint arXiv:1711.03543, 2017
242017
DARVIZ: deep abstract representation, visualization, and verification of deep learning models
A Sankaran, R Aralikatte, S Mani, S Khare, N Panwar, N Gantayat
2017 IEEE/ACM 39th International Conference on Software Engineering: New …, 2017
72017
Multi-Modal Construction of Deep Learning Networks
AR Rahul, N Gantayat, S Khare, SK Mani, N Panwar, A Sankaran
US Patent App. 15/491,162, 2018
42018
Sanskrit Sandhi Splitting using seq2seq^2
R Aralikatte, N Gantayat, N Panwar, A Sankaran, S Mani
arXiv preprint arXiv:1801.00428, 2018
32018
A visual programming paradigm for abstract deep learning model development
SG Tamilselvam, N Panwar, S Khare, R Aralikatte, A Sankaran, S Mani
Proceedings of the 10th Indian Conference on Human-Computer Interaction, 1-11, 2019
22019
Collaborative deep learning model authoring tool
A Sankaran, RR Aralikatte, S Khare, N Panwar, SKK Mani, ...
US Patent App. 16/210,785, 2020
2020
Reducing Overlearning through Disentangled Representations by Suppressing Unknown Tasks
N Panwar, T Tater, A Sankaran, S Mani
arXiv preprint arXiv:2005.10220, 2020
2020
Suggestion and Completion of Deep Learning Models from a Catalog
A Sankaran, N Panwar, SG Tamilselvam, S Khare, R Aralikatte, SKK Mani
US Patent App. 16/117,922, 2020
2020
Is my Deep Learning Model Learning more than I want it to?
N Panwar, T Tater, A Sankaran, S Mani
2019
Sanskrit Sandhi Splitting using $\pmb {seq2 (seq)^ 2} $
R Aralikatte, N Gantayat, N Panwar, A Sankaran, S Mani
arXiv preprint arXiv:1801.00428, 2018
2018
Democratization of Deep Learning Using DARVIZ
A Sankaran, N Panwar, S Khare, S Mani, A Sethi, R Aralikatte, N Gantayat
AAAI, 2018
2018
mAnI: Movie Amalgamation using Neural Imitation
N Panwar, S Khare, N Gantayat, R Aralikatte, S Mani, A Sankaran
arXiv preprint arXiv:1708.04923, 2017
2017
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