Semi-supervised Learning with Cornelia Caragea

We are delighted that tomorrow at UPB we will have an Invited Lecture from Cornelia Caragea [1], Professor at University of Illinois, Chicago.
The lecture will cover an important and very hot topic in ML, Semi-supervised Learning, with a focus on how SSL can be used to improve results for NLP applications.

We will meet in Precis Building, room PR002, from 4-7:30pm (we'll have some breaks). The lecture will be in person, but also streamed online at the zoom link below.

Cornelia has a couple of talks at UPB this week and next week, that will also be streamed online. The schedule is below if you are interested.

Cornelia's short bio:
Cornelia Caragea is a Professor of Computer Science and the Director of the Information Retrieval Research Laboratory at the University of Illinois Chicago (UIC). She received her Ph.D. in Computer Science from Iowa State University and her B.S. in Computer Science and Mathematics from the University of Bucharest. Her research interests are in natural language processing, artificial intelligence, deep learning, machine learning, and information retrieval. Caragea's work has been recognized with several National Science Foundation (NSF) research awards, including the prestigious NSF CAREER award. She has published many research papers in top venues such as ACL, EMNLP, NAACL, ICML, AAAI, and IJCAI and was a program committee member for many such conferences. She reviewed for many journals including Nature, ACM TIST, JAIR, and TACL, served on many NSF review panels, and organized several workshops on scholarly big data. In 2020-21, she received the College of Engineering (COE) Research Award, which is awarded to faculty in the College of Engineering at UIC for excellent research contributions. Caragea was included on an Elsevier list of the top 2% of scientists in their fields for her single-year impact in 2020.

[1] - https://scholar.google.com/citations?user=vkX6VV4AAAAJ&hl=en&oi=ao

Zoom link: https://uic.zoom.us/j/82244924693?pwd=Q1FjMXlkaGFpOHdDTzBESlNZczhLUT09