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Pages

Posts

Double Q-Learning

less than 1 minute read

Published:

Deep Double Q-Learning — Why you should use it [Link]

portfolio

publications

Leveraging Ontological Knowledge for Neural Language Models

Published in Young Researchers' Symposium, CoDS-COMAD 2019, Kolkata, India, 2019

We propose and experiment with methods to combine the use of ontologies and function approximaters. We pose the methods as a type of data-knowledge trade-off and achieve superior performance on muliple tasks

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talks

Dataless Classification

Published:

Presented the idea of using semantic information in label names and how this idea dovetails with co-training [Slides]

teaching

Deep Learning Masterclass

Workshop, Indian Institute of Technology Madras, 2018

Conducted classes covering basics of Machine Learning and Deep Learning, Optimization, Regularization, CNNs, Word Vectors, RNNs and Encoder-Decoder Models for an audience of 90 people comprising Undergraduate and Post-Graduate students