Dr. Shashank Srivastava, University of North Carolina (UNC) Chapel Hill gave an invited talk on Training with Talk: A Machine Learning Makeover on 17 November. Here is the summary of Dr. Shashank Srivastava’s talk:
Language and learning are deeply intertwined in humans. For example, in schools, we rely on processes such as reading books, listening to lectures, and engaging in student-teacher dialogs. In this talk, he discussed some recent work on building automated learning systems that can learn new tasks through natural language interactions with their users. He also covered multiple scenarios in this general direction: learning classifiers from language-based supervision, learning web-based tasks from explained demonstrations; and investigating when pretraining on language imparts effective inductive biases to large language models.
Dr. Shashank Srivastava is an assistant professor in the Computer Science department at the University of North Carolina (UNC) Chapel Hill. Shashank received his Ph.D from the Machine Learning department at CMU in 2018, and was an AI Resident at Microsoft Research in 2018-19. Shashank’s research interests lie in conversational AI, interactive machine learning and grounded language understanding. Shashank has an undergraduate degree in Computer Science from IIT Kanpur, and a Master’s degree in Language Technologies from CMU. He received the Yahoo InMind Fellowship for 2016-17. His research has been covered by popular media outlets including GeekWire and New Scientist.
November 2023