Date/Time
Date(s) - November 04, 2022
11:45 am - 12:35 pm
Categories No Categories
Juan Wachs
Date : Friday, November 4, 2022
Mode : Virtual
Affiliation: Purdue, NSF
Bio: Visit Page
Title: “Can Machines Learn with No Data? One Step Towards Human-Like Learning“
Abstract: Supervised classification methods, especially the ones based on deep learning, have achieved great success in many domains and tasks that are previously unimaginable. The ultimate goal of these learning methods is to produce systems that are as intelligent as humans, however, there are major differences between the way humans and machines learn to acquire and represent new knowledge. For instance, the conventional classification approaches require sufficient labeled training data (hundreds, if not thousands, of examples per category) in order to achieve good performance on classification tasks. In this context, the end-goal is to develop human-like lifelong learning systems which can learn continually by building on what has been previously learnt. To achieve this, researchers have conceived novel learning paradigms such as N-shot (NSL), Less Than One-Shot (LOS), few-shot (FSL), one-shot (OSL) and zero-shot (ZSL) learning. This talk focuses on solving the problems of FSL and ZSL in conjugation for tempo-visual events (for e.g. activities, physical actions and gestures) and thereby, develop a unified approach to handle the problem of the general classification problem.
Bio: Dr. Juan Wachs is a Professor and Faculty Scholar in the Industrial Engineering School at Purdue University, Professor of Biomedical Engineering (by courtesy) and an Adjunct Associate Professor of Surgery at IU School of Medicine. He is currently serving at NSF as a Program Director for robotics and AI programs at CISE. He is also the director of the Intelligent Systems and Assistive Technologies (ISAT) Lab at Purdue, and he is affiliated with the Regenstrief Center for Healthcare Engineering. He completed his postdoctoral training at the Naval Postgraduate School’s MOVES Institute under a National Research Council Fellowship from the National Academies of Sciences. Dr. Wachs received his B.Ed.Tech in Electrical Education in ORT Academic College, at the Hebrew University of Jerusalem campus. His M.Sc and Ph.D in Industrial Engineering and Management from the Ben-Gurion University of the Negev, Israel. He is the recipient of the 2013 Air Force Young Investigator Award, and the 2015 Helmsley Senior Scientist Fellow, and 2016 Fulbright U.S. Scholar, the James A. and Sharon M. Tompkins Rising Star Associate Professor, 2017, and an ACM Distinguished Speaker 2018. He is also the Associate Editor of IEEE Transactions in Human-Machine Systems, Frontiers in Robotics and AI.