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Earlier, I focused myself into the area of semi-supervised learning, optimization and exploring Bayesian learning. But now, as I am getting deeper and deeper, I find myself surrounded by the exciting advancement in deep graph convolutional neural networks, group theory in machine learning and manifold learning theory. Ultimately these techniques are solving the better feature learning problem which might hold the key to answer - what makes learning possible once for all.
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IEEE TRANSACTIONS ON POWER SYSTEMSno. 3 (2021): 2082-2092
KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Virtual Event
CA
USA
July, 2020pp.3128-3135, (2020)
Proceedings of the ACM Internet Measurement Conference (2020)
arXiv preprint arXiv:1909.10086 (2019)
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