Want to create an interactive transcript for this episode?
Podcast: The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Episode: Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi
Description: Today we’re joined by Babak Ehteshami Bejnordi, a Research Scientist at Qualcomm.
Babak is currently focused on conditional computation, which is the main driver for today’s conversation. We dig into a few papers in great detail including one from this year’s CVPR conference, Conditional Channel Gated Networks for Task-Aware Continual Learning, covering how gates are used to drive efficiency and accuracy, while decreasing model size, how this research manifests into actual products, and more!