Janarthanan Rajendran
Title
Cited by
Cited by
Year
Bridge correlational neural networks for multilingual multimodal representation learning
J Rajendran, MM Khapra, S Chandar, B Ravindran
arXiv preprint arXiv:1510.03519, 2015
392015
Discovery of useful questions as auxiliary tasks
V Veeriah, M Hessel, Z Xu, R Lewis, J Rajendran, J Oh, H van Hasselt, ...
arXiv preprint arXiv:1909.04607, 2019
292019
Attend, adapt and transfer: Attentive deep architecture for adaptive transfer from multiple sources in the same domain
J Rajendran, A Srinivas, MM Khapra, P Prasanna, B Ravindran
arXiv preprint arXiv:1510.02879, 2015
212015
Learning end-to-end goal-oriented dialog with multiple answers
J Rajendran, J Ganhotra, S Singh, L Polymenakos
arXiv preprint arXiv:1808.09996, 2018
162018
A correlational encoder decoder architecture for pivot based sequence generation
A Saha, MM Khapra, S Chandar, J Rajendran, K Cho
arXiv preprint arXiv:1606.04754, 2016
132016
Adaapt: A deep architecture for adaptive policy transfer from multiple sources
J Rajendran, P Prasanna, B Ravindran, MM Khapra
arXiv preprint arXiv 1510, 1-10, 2015
112015
Learning end-to-end goal-oriented dialog with maximal user task success and minimal human agent use
J Rajendran, J Ganhotra, LC Polymenakos
Transactions of the Association for Computational Linguistics 7, 375-386, 2019
62019
a2t: Attend, adapt and transfer: Attentive deep architecture for adaptive transfer from multiple sources
J Rajendran, A Lakshminarayanan, MM Khapra, P Prasanna, ...
42017
Quantifying the effects of COVID-19 on mental health support forums
L Biester, K Matton, J Rajendran, EM Provost, R Mihalcea
arXiv preprint arXiv:2009.04008, 2020
22020
Meta-learning requires meta-augmentation
J Rajendran, A Irpan, E Jang
arXiv preprint arXiv:2007.05549, 2020
22020
How Should an Agent Practice?
J Rajendran, R Lewis, V Veeriah, H Lee, S Singh
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5454-5461, 2020
22020
Named entities troubling your neural methods? build ne-table: A neural approach for handling named entities
J Rajendran, J Ganhotra, X Guo, M Yu, S Singh
CoRR, 2018
12018
Stability and bifurcation analysis of a pupillary light reflex model
J Rajendran, SS Arutprakasam, AM Warrier
The 27th Chinese Control and Decision Conference (2015 CCDC), 1765-1771, 2015
12015
How popular are your tweets?
A Saha, J Rajendran, S Shekhar, B Ravindran
Proceedings of the 2014 Recommender Systems Challenge, 66-69, 2014
12014
Reinforcement Learning of Implicit and Explicit Control Flow in Instructions
EA Brooks, J Rajendran, RL Lewis, S Singh
arXiv preprint arXiv:2102.13195, 2021
2021
NE-Table: A Neural key-value table for Named Entities
J Rajendran, J Ganhotra, X Guo, M Yu, S Singh, L Polymenakos
arXiv preprint arXiv:1804.09540, 2018
2018
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