I am a second year Ph.D. student at University of Montreal. I am advised by Yoshua Bengio and Hugo Larochelle. Before joining University of Montreal, I was a Research Software Engineer at IBM India Research Lab during August,2014 - May,2015. I did my MS by Research at Indian Institute of Technology Madras where I was working with Balaraman Ravindran.
Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Reinforcement Learning, Bayesian Non parametrics, Grammatical Inference.
Caglar Gulcehre and I will be giving a tutorial on "Memory Augmented Neural Networks for Natural Language Processing" at EMNLP 2017.
Our work on pivot based sequence generation accepted at COLING 2016 as an oral paper. Preprint is available here.
Click Here for complete list of publications.
GuessWhat?! Visual object discovery through multi-modal dialogue.
Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, Aaron Courville.
In arXiv, 2016.
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation.
Amrita Saha, Mitesh M Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho.
Proceedings of COLING, 2016.
Hierarchical Memory Networks.
Sarath Chandar, Sungjin Ahn, Hugo Larochelle, Pascal Vincent, Gerald Tesauro, Yoshua Bengio.
In arXiv, 2016.
Teaching assistant at University of Montreal.
Teaching assistant at IIT Madras.
- Fall 2014 : Introduction to Machine Learning. (Remotely from IBM Research)
- Spring 2014 : Probabilistic Reasoning in AI.
- Fall 2013 : Introduction to Machine Learning.
- Spring 2013 : Languages, Machines and Computation.
- Fall 2012 : Computational Engineering.