Rahul Aralikatte
Rahul Aralikatte
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Cited by
Cited by
Deeptriage: Exploring the effectiveness of deep learning for bug triaging
S Mani, A Sankaran, R Aralikatte
Proceedings of the ACM India joint international conference on data science …, 2019
DuoRC: Towards complex language understanding with paraphrased reading comprehension
A Saha, R Aralikatte, MM Khapra, K Sankaranarayanan
arXiv preprint arXiv:1804.07927, 2018
Adversarial Black-Box Attacks on Automatic Speech Recognition Systems Using Multi-Objective Evolutionary Optimization
S Khare, R Aralikatte, S Mani
Proc. Interspeech 2019, 3208-3212, 2019
Compositional generalization in image captioning
M Nikolaus, M Abdou, M Lamm, R Aralikatte, D Elliott
arXiv preprint arXiv:1909.04402, 2019
Multi-Modal Construction of Deep Learning Networks
R Aralikatte, N Gantayat, S Khare, S Mani, N Panwar, A Sankaran
US Patent App. 15/491,162, 2018
Fault in your stars: an analysis of android app reviews
R Aralikatte, G Sridhara, N Gantayat, S Mani
Proceedings of the acm india joint international conference on data science …, 2018
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
Sanskrit Sandhi Splitting using seq2(seq)^2
N Gantayat, R Aralikatte, N Panwar, A Sankaran, S Mani
ArXiv e-prints, 2018
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
Rewarding coreference resolvers for being consistent with world knowledge
R Aralikatte, H Lent, AV Gonzalez, D Hershcovich, C Qiu, A Sandholm, ...
arXiv preprint arXiv:1909.02392, 2019
Ellipsis resolution as question answering: An evaluation
R Aralikatte, M Lamm, D Hardt, A Søgaard
arXiv preprint arXiv:1908.11141, 2019
X-WikiRE: A large, multilingual resource for relation extraction as machine comprehension
M Abdou, C Sas, R Aralikatte, I Augenstein, A Søgaard
arXiv preprint arXiv:1908.05111, 2019
Focus attention: Promoting faithfulness and diversity in summarization
R Aralikatte, S Narayan, J Maynez, S Rothe, R McDonald
arXiv preprint arXiv:2105.11921, 2021
Hi, how can I help you?: Automating enterprise IT support help desks
S Mani, N Gantayat, R Aralikatte, M Gupta, S Dechu, A Sankaran, S Khare, ...
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Multilingual compositional Wikidata questions
R Cui, R Aralikatte, H Lent, D Hershcovich
arXiv preprint arXiv:2108.03509, 2021
Model-based annotation of coreference
R Aralikatte, A Søgaard
arXiv preprint arXiv:1906.10724, 2019
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages
EM Ponti, R Aralikatte, D Shrivastava, S Reddy, A Søgaard
arXiv preprint arXiv:2106.01051, 2021
Mobile application update manager
G Sridhara, R Aralikatte, SKK Mani, V Ekambaram
US Patent 10,416,993, 2019
Application recommendation based on permissions
RR Aralikatte, V Ekambaram, SKK Mani, G Sridhara
US Patent 10,262,157, 2019
Itihasa: A large-scale corpus for Sanskrit to English translation
R Aralikatte, M de Lhoneux, A Kunchukuttan, A Søgaard
arXiv preprint arXiv:2106.03269, 2021
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