Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi - #385

Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi - #385

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!

Episoder(781)

Scalable Differential Privacy for Deep Learning with Nicolas Papernot - TWiML Talk #134

Scalable Differential Privacy for Deep Learning with Nicolas Papernot - TWiML Talk #134

In this episode of our Differential Privacy series, I'm joined by Nicolas Papernot, Google PhD Fellow in Security and graduate student in the department of computer science at Penn State University. N...

3 Mai 201859min

Differential Privacy at Bluecore with Zahi Karam - TWiML Talk #133

Differential Privacy at Bluecore with Zahi Karam - TWiML Talk #133

In this episode of our Differential Privacy series, I'm joined by Zahi Karam, Director of Data Science at Bluecore, whose retail marketing platform specializes in personalized email marketing. I sat d...

1 Mai 201838min

Differential Privacy Theory & Practice with Aaron Roth - TWiML Talk #132

Differential Privacy Theory & Practice with Aaron Roth - TWiML Talk #132

In the first episode of our Differential Privacy series, I'm joined by Aaron Roth, associate professor of computer science and information science at the University of Pennsylvania. Aaron is first and...

30 Apr 201842min

Optimal Transport and Machine Learning with Marco Cuturi - TWiML Talk #131

Optimal Transport and Machine Learning with Marco Cuturi - TWiML Talk #131

In this episode, i’m joined by Marco Cuturi, professor of statistics at Université Paris-Saclay. Marco and I spent some time discussing his work on Optimal Transport Theory at NIPS last year. In our d...

26 Apr 201832min

Collecting and Annotating Data for AI with Kiran Vajapey - TWiML Talk #130

Collecting and Annotating Data for AI with Kiran Vajapey - TWiML Talk #130

In this episode, I’m joined by Kiran Vajapey, a human-computer interaction developer at Figure Eight. In this interview, Kiran shares some of what he’s has learned through his work developing applicat...

23 Apr 201840min

Autonomous Aerial Guidance, Navigation and Control Systems with Christopher Lum - TWiML Talk #129

Autonomous Aerial Guidance, Navigation and Control Systems with Christopher Lum - TWiML Talk #129

Ok, In this episode, I'm joined by Christopher Lum, Research Assistant Professor in the University of Washington’s Department of Aeronautics and Astronautics. Chris also co-heads the University’s Auto...

19 Apr 201852min

Infrastructure for Autonomous Vehicles with Missy Cummings - TWiML Talk #128

Infrastructure for Autonomous Vehicles with Missy Cummings - TWiML Talk #128

In this episode, I’m joined by Missy Cummings, head of Duke University’s Humans and Autonomy Lab and professor in the department of mechanical engineering. In addition to being an accomplished researc...

16 Apr 201843min

Hyper-Personalizing the Customer Experience w/ AI with Rob Walker - TWiML Talk #127

Hyper-Personalizing the Customer Experience w/ AI with Rob Walker - TWiML Talk #127

In this episode, we're joined by Rob Walker, Vice President of decision management and analytics at Pegasystems, a leading provider of software for customer engagement and operational excellence. Rob ...

12 Apr 201841min

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