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Semantic ScholarA. P. Sarath Chandar
Sarath Chandar
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2010 – today
- 2019
[i20]Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, Shibl Mourad, Hugo Larochelle, Marc G. Bellemare, Michael Bowling:
The Hanabi Challenge: A New Frontier for AI Research. CoRR abs/1902.00506 (2019)- [i19]Sarath Chandar, Chinnadhurai Sankar, Eugene Vorontsov, Samira Ebrahimi Kahou, Yoshua Bengio:
Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies. CoRR abs/1902.06704 (2019) - [i18]Revanth Reddy, Sarath Chandar, Balaraman Ravindran:
Edge Replacement Grammars: A Formal Language Approach for Generating Graphs. CoRR abs/1902.07159 (2019) - 2018
- [j2]Çaglar Gülçehre, Sarath Chandar, Kyunghyun Cho, Yoshua Bengio:
Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes. Neural Computation 30(4) (2018) - [c11]Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar:
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph. AAAI 2018: 705-713 - [i17]Iulian Vlad Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Rajeswar, Alexandre de Brébisson, Jose M. R. Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio:
A Deep Reinforcement Learning Chatbot (Short Version). CoRR abs/1801.06700 (2018) - [i16]Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar:
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph. CoRR abs/1801.10314 (2018) - [i15]Ghulam Ahmed Ansari, Sagar J. P, Sarath Chandar, Balaraman Ravindran:
Language Expansion In Text-Based Games. CoRR abs/1805.07274 (2018) - [i14]Shagun Sodhani, Sarath Chandar, Yoshua Bengio:
On Training Recurrent Neural Networks for Lifelong Learning. CoRR abs/1811.07017 (2018) - [i13]Khimya Khetarpal, Shagun Sodhani, Sarath Chandar, Doina Precup:
Environments for Lifelong Reinforcement Learning. CoRR abs/1811.10732 (2018) - 2017
- [c10]Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, Aaron C. Courville:
GuessWhat?! Visual Object Discovery through Multi-modal Dialogue. CVPR 2017: 4466-4475 - [i12]Çaglar Gülçehre, Sarath Chandar, Yoshua Bengio:
Memory Augmented Neural Networks with Wormhole Connections. CoRR abs/1701.08718 (2017) - [i11]Iulian Vlad Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Mudumba, Alexandre de Brébisson, Jose Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio:
A Deep Reinforcement Learning Chatbot. CoRR abs/1709.02349 (2017) - 2016
- [j1]Sarath Chandar, Mitesh M. Khapra, Hugo Larochelle, Balaraman Ravindran:
Correlational Neural Networks. Neural Computation 28(2): 257-285 (2016) - [c9]Iulian Vlad Serban, Alberto García-Durán, Çaglar Gülçehre, Sungjin Ahn, Sarath Chandar, Aaron C. Courville, Yoshua Bengio:
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus. ACL (1) 2016 - [c8]Amrita Saha, Mitesh M. Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho:
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation. COLING 2016: 109-118 - [c7]Mitesh M. Khapra, Sarath Chandar:
Multilingual Multimodal Language Processing Using Neural Networks. HLT-NAACL Tutorials 2016: 6-7 - [c6]Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran:
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning. HLT-NAACL 2016: 171-181 - [i10]Iulian Vlad Serban, Alberto García-Durán, Çaglar Gülçehre, Sungjin Ahn, Sarath Chandar, Aaron C. Courville, Yoshua Bengio:
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus. CoRR abs/1603.06807 (2016) - [i9]Sarath Chandar, Sungjin Ahn, Hugo Larochelle, Pascal Vincent, Gerald Tesauro, Yoshua Bengio:
Hierarchical Memory Networks. CoRR abs/1605.07427 (2016) - [i8]Amrita Saha, Mitesh M. Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho:
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation. CoRR abs/1606.04754 (2016) - [i7]Çaglar Gülçehre, Sarath Chandar, Kyunghyun Cho, Yoshua Bengio:
Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes. CoRR abs/1607.00036 (2016) - [i6]Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, Aaron C. Courville:
GuessWhat?! Visual object discovery through multi-modal dialogue. CoRR abs/1611.08481 (2016) - 2015
- [c5]Subendhu Rongali, A. P. Sarath Chandar, Balaraman Ravindran:
From multiple views to single view: a neural network approach. CODS 2015: 104-109 - [i5]Sarath Chandar, Mitesh M. Khapra, Hugo Larochelle, Balaraman Ravindran:
Correlational Neural Networks. CoRR abs/1504.07225 (2015) - [i4]Sridhar Mahadevan, Sarath Chandar:
Reasoning about Linguistic Regularities in Word Embeddings using Matrix Manifolds. CoRR abs/1507.07636 (2015) - [i3]P. Prasanna, Sarath Chandar, Balaraman Ravindran:
TSEB: More Efficient Thompson Sampling for Policy Learning. CoRR abs/1510.02874 (2015) - [i2]Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran:
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning. CoRR abs/1510.03519 (2015) - 2014
- [c4]A. P. Sarath Chandar, Stanislas Lauly, Hugo Larochelle, Mitesh M. Khapra, Balaraman Ravindran, Vikas C. Raykar, Amrita Saha:
An Autoencoder Approach to Learning Bilingual Word Representations. NIPS 2014: 1853-1861 - [i1]A. P. Sarath Chandar, Stanislas Lauly, Hugo Larochelle, Mitesh M. Khapra, Balaraman Ravindran, Vikas C. Raykar, Amrita Saha:
An Autoencoder Approach to Learning Bilingual Word Representations. CoRR abs/1402.1454 (2014) - 2011
- [c3]Susan Elias, A. P. Sarath Chandar, Kamala Krithivasan, S. V. Raghavan:
An Adaptive e-Learning Environment Using Distributed Spiking Neural P Systems. T4E 2011: 56-60 - 2010
- [c2]A. P. Sarath Chandar, S. G. Dheeban, Deepak V, Susan Elias:
Personalized e-course composition approach using digital pheromones in improved particle swarm optimization. ICNC 2010: 2677-2681 - [c1]A. P. Sarath Chandar, S. Arun Balaji, G. Venkatesh, Susan Elias:
CDPN: Communicating Dynamic Petri Net for Adaptive Multimedia Presentation. ICT 2010: 165-170
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