Tijmen Blankevoort's guest appearances

Tijmen Blankevoort

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Fast Moving Targets

Meredith Broussard

Ilias Diakonikolas

Scott Clark

Celeste Kidd

Dennis Mortensen

Rob Walker

Joost De Valk

Sanmi Koyejo

Chelsea Finn

Dario Amodei

Jianxiong Xiao

Kate Darling

Jason Holmberg

Lotte Bransen

Christopher Berner

OwlTail

Today we’re joined by Tijmen Blankevoort, a staff engineer at Qualcomm, who leads their compression and quantization research teams. In our conversation with Tijmen we discuss: • The ins and outs of compression and quantization of ML models, specifically NNs,• How much models can actually be compressed, and the best way to achieve compression, • We also look at a few recent papers including “Lottery Hypothesis."

Today we’re joined by Tijmen Blankevoort, a staff engineer at Qualcomm, who leads their compression and quantization research teams. In our conversation with Tijmen we discuss:  • The ins and outs of compression and quantization of ML models, specifically NNs, • How much models can actually be compressed, and the best way to achieve compression,  • We also look at a few recent papers including “Lottery Hypothesis."

Neural Network Quantization and Compression with Tijmen Blankevoort - TWIML Talk #292

Tijmen Blankevoort (Scyfer): “Machines leren voorlopig nog niks zonder de input van de mens” by Fast Moving Targets

Tijmen Blankevoort (Scyfer): “Machines leren voorlopig nog niks zonder de input van de mens”