MO4.R2: Topics in Machine Learning 2
Mon, 8 Jul, 16:25 - 17:45
Location: Ypsilon I-II-III
Session Chair: Lalitha Sankar, Arizona State University
Track: 8: Machine Learning
Mon, 8 Jul, 16:25 - 16:45

MO4.R2.1: Conditional Mutual Information Constrained Deep Learning: Framework and Preliminary Results

En-Hui Yang, Shayan Mohajer Hamidi, Linfeng Ye, Renhao Tan, University of Waterloo, Canada; Beverly Yang, University of British Columbia, Canada
Mon, 8 Jul, 16:45 - 17:05

MO4.R2.2: Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features

Tina Behnia, Christos Thrampoulidis, University of British Columbia, Canada
Mon, 8 Jul, 17:05 - 17:25

MO4.R2.3: Theoretical Guarantees of Data Augmented Last Layer Retraining Methods

Monica Welfert, Nathan Stromberg, Lalitha Sankar, Arizona State University, United States
Mon, 8 Jul, 17:25 - 17:45

MO4.R2.4: Robust VAEs via Generating Process of Noise Augmented Data

Hiroo Irobe, Wataru Aoki, Tokyo Institute of Technology, Japan; Kimihiro Yamazaki, Fujitsu, Japan; Yuhui Zhang, Tokyo Institute of Technology, Japan; Takumi Nakagawa, Tokyo Institute of Technology, RIKEN AIP, Japan; Hiroki Waida, Tokyo Institute of Technology, Japan; Yuichiro Wada, Fujitsu, RIKEN AIP, Japan; Takafumi Kanamori, Tokyo Institute of Technology, RIKEN AIP, Japan