55 min

Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

    • Technology

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!

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!

55 min

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