I did my Ph.D. at University of Montreal, advised by Yoshua Bengio and Hugo Larochelle. I was a recepient of the IBM PhD Fellowship for 2018.
Before joining University of Montreal, I was a Research Software Engineer at IBM India Research Lab during August,2014 - May,2015. I obtained my MS by Research at Indian Institute of Technology Madras where I was working with Balaraman Ravindran.
Research Areas:
Recurrent Neural Networks, Lifelong Learning, Reinforcement Learning, Deep Learning, Natural Language Processing, Machine Learning, Artificial Intelligence.
News:
Our work on training RNNs for lifelong learning got accepted in Neural Computation!
Our work on dialogue systems got nominated for best paper awards at ACL 2019!
Recent Publications:
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PatchUp: A Regularization Technique for Convolutional Neural Networks.
Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma, Sarath Chandar.
In arXiv, 2020.
[arXiv], [code]
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Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning.
Sai Krishna Gottipati*, Boris Sattarov*, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Karam MJ Thomas,
Simon Blackburn, Connor W Coley, Jian Tang, Sarath Chandar, Yoshua Bengio.
International Conference on Machine Learning (ICML), 2020.
[arXiv]