D-14: Supervised and Self-Supervised Learning |
Session Type: Virtual |
Time: Wednesday, November 2, 09:30 - 10:30 |
Location: Virtual D |
Virtual Session: Attend on Virtual Platform |
D-14.1: Identifying Dependent Annotators in Crowdsourcing |
Panagiotis Traganitis; Michigan State University |
Georgios B. Giannakis; University of Minnesota |
D-14.2: A Variance Reduced Nonconvex Stochastic Optimization framework for Online Kernel Learning |
Hrusikesha Pradhan; Indian Institute of Technology Kanpur |
Ketan Rajawat; Indian Institute of Technology Kanpur |
D-14.3: Fairness Aware Machine Learning Models via Compositional Stochastic Programming |
Srujan Teja Thomdapu; Indian Institute of Technology, Kanpur |
Harshvardhan Harshvardhan; University of California San Diego |
Ketan Rajawat; Indian Institute of Technology, Kanpur |