Vijay Gabale
CTO, Infilect

Vijay Gabale is the CTO at Infilect. Previously, he worked at IBM Research Labs, where he worked on research and development of machine learning and deep learning in retail, telecom, and education. He has over 20 A* publications and over 5 patents to his name. He’s a frequent speaker at AI conferences (e.g., GTC 2018, San Jose; ACM KDD, 2018, London), and has won numerous awards for his contribution to advancements in AI. He earned his PhD from the Indian Institute of Technology Bombay.

Sessions

11:55am–12:35pm Thursday, September 12, 2019

Location: 230 C

Data distribution search: Deep reinforcement learning to improvise input datasets

Implementing AI

Secondary topics: Data, Data Networks, Data Quality, Deep Learning, Machine Learning, Reinforcement Learning

Vijay Gabale (Infilect)

Beyond computer games and neural architecture search, practical applications of deep reinforcement learning (DRL) to improve classical classification or detection tasks are few and far between. Vijay Gabale outlines a technique and some experiences of applying DRL on improving the distribution input datasets to achieve state-of-the-art performance, specifically on object-detection tasks. Read more.