Takip et
Balaraman Ravindran
Balaraman Ravindran
Professor of Data Science and AI, Wadhwani School of Data Science and AI, IIT Madras
dsai.iitm.ac.in üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Epopt: Learning robust neural network policies using model ensembles
A Rajeswaran, S Ghotra, B Ravindran, S Levine
Fifth International Conference on Learning Representations (ICLR 2017 …, 2016
4292016
An autoencoder approach to learning bilingual word representations
S Chandar AP, S Lauly, H Larochelle, M Khapra, B Ravindran, VC Raykar, ...
Advances in neural information processing systems 27, 2014
3972014
Efficient computation of the Shapley value for game-theoretic network centrality
TP Michalak, KV Aadithya, PL Szczepanski, B Ravindran, NR Jennings
Journal of Artificial Intelligence Research 46, 607-650, 2013
2242013
Diversity driven attention model for query-based abstractive summarization
P Nema, M Khapra, A Laha, B Ravindran
Fifty-Fifth Annual Meeting of the Association of Computational Linguistics …, 2017
2192017
Correlational neural networks
S Chandar, MM Khapra, H Larochelle, B Ravindran
Neural computation, 2016
2092016
Latent dirichlet allocation based multi-document summarization
R Arora, B Ravindran
Proceedings of the second workshop on Analytics for noisy unstructured text …, 2008
1922008
Accurate mobile robot localization in indoor environments using bluetooth
AN Raghavan, H Ananthapadmanaban, MS Sivamurugan, B Ravindran
2010 IEEE international conference on robotics and automation, 4391-4396, 2010
1552010
A Survey of Adversarial Defences and Robustness in NLP
G Shreya, S Doddapaneni, MM Khapra, B Ravindran
ACM Computing Surveys, 2023
139*2023
Learning to repeat: Fine grained action repetition for deep reinforcement learning
S Sharma, A Srinivas, B Ravindran
Fifth International Conference on Learning Representations (ICLR 2017 …, 2017
1372017
An algebraic approach to abstraction in reinforcement learning
B Ravindran
University of Massachusetts Amherst, 2004
1322004
SMDP homomorphisms: An algebraic approach to abstraction in semi markov decision processes
B Ravindran, AG Barto
International Joint Conference on Artificial Intelligence (IJCAI), 1011-1016, 2003
1282003
Model minimization in hierarchical reinforcement learning
B Ravindran, AG Barto
Abstraction, Reformulation, and Approximation: 5th International Symposium …, 2002
1132002
Towards transparent and explainable attention models
AK Mohankumar, P Nema, S Narasimhan, MM Khapra, BV Srinivasan, ...
58th Annual Meeting of the Association for Computational Linguistics (ACL …, 2020
1102020
Improving legal information retrieval using an ontological framework
M Saravanan, B Ravindran, S Raman
Artificial Intelligence and Law 17, 101-124, 2009
1102009
Overtaking maneuvers in simulated highway driving using deep reinforcement learning
M Kaushik, V Prasad, KM Krishna, B Ravindran
2018 IEEE intelligent vehicles symposium (iv), 1885-1890, 2018
922018
Adaptive network intrusion detection system using a hybrid approach
R Rangadurai Karthick, VP Hattiwale, B Ravindran
Communication Systems and Networks (COMSNETS), 2012 Fourth International …, 2012
892012
A tutorial survey of reinforcement learning
S Sathiya Keerthi, B Ravindran
Sadhana 19 (6), 851-889, 1994
881994
Commit: A scalable approach to mining communication motifs from dynamic networks
S Gurukar, S Ranu, B Ravindran
Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015
872015
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
Fifth International Conference on Learning Representations (ICLR 2017 …, 2015
86*2015
A system approach to network modeling for DDoS detection using a Naive Bayesian classifier
R Vijayasarathy, SV Raghavan, B Ravindran
2011 Third International Conference on Communication Systems and Networks …, 2011
852011
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Makaleler 1–20