Natural Graph Networks with Taco Cohen - #440

Natural Graph Networks with Taco Cohen - #440

Today we kick off our NeurIPS 2020 series joined by Taco Cohen, a Machine Learning Researcher at Qualcomm Technologies. In our conversation with Taco, we discuss his current research in equivariant networks and video compression using generative models, as well as his paper “Natural Graph Networks,” which explores the concept of “naturality, a generalization of equivariance” which suggests that weaker constraints will allow for a “wider class of architectures.” We also discuss some of Taco’s recent research on neural compression and a very interesting visual demo for equivariance CNNs that Taco and the Qualcomm team released during the conference. The complete show notes for this episode can be found at twimlai.com/go/440.

Jaksot(782)

Multimodal, Multi-Lingual NLP at Hugging Face with John Bohannon and Douwe Kiela - #589

Multimodal, Multi-Lingual NLP at Hugging Face with John Bohannon and Douwe Kiela - #589

In this extra special episode of the TWIML AI Podcast, a friend of the show John Bohannon leads a jam-packed conversation with Hugging Face’s recently appointed head of research Douwe Kiela. In our co...

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Synthetic Data Generation for Robotics with Bill Vass - #588

Synthetic Data Generation for Robotics with Bill Vass - #588

Today we’re joined by Bill Vass, a VP of engineering at Amazon Web Services. Bill spoke at the most recent AWS re:MARS conference, where he delivered an engineering Keynote focused on some recent upda...

22 Elo 202236min

Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar - #587

Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar - #587

Today we’re joined by Jeff Gehlhaar, vice president of technology at Qualcomm Technologies. In our annual conversation with Jeff, we dig into the relationship between Jeff’s team on the product side a...

15 Elo 202243min

Causal Conceptions of Fairness and their Consequences with Sharad Goel - #586

Causal Conceptions of Fairness and their Consequences with Sharad Goel - #586

Today we close out our ICML 2022 coverage joined by Sharad Goel, a professor of public policy at Harvard University. In our conversation with Sharad, we discuss his Outstanding Paper award winner Caus...

8 Elo 202237min

Brain-Inspired Hardware and Algorithm Co-Design with Melika Payvand - #585

Brain-Inspired Hardware and Algorithm Co-Design with Melika Payvand - #585

Today we continue our ICML coverage joined by Melika Payvand, a research scientist at the Institute of Neuroinformatics at the University of Zurich and ETH Zurich. Melika spoke at the Hardware Aware E...

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Equivariant Priors for Compressed Sensing with Arash Behboodi - #584

Equivariant Priors for Compressed Sensing with Arash Behboodi - #584

Today we’re joined by Arash Behboodi, a machine learning researcher at Qualcomm Technologies. In our conversation with Arash, we explore his paper Equivariant Priors for Compressed Sensing with Unknow...

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Managing Data Labeling Ops for Success with Audrey Smith - #583

Managing Data Labeling Ops for Success with Audrey Smith - #583

Today we continue our Data-Centric AI Series joined by Audrey Smith, the COO at MLtwist, and a recent participant in our panel on DCAI. In our conversation, we do a deep dive into data labeling for ML...

18 Heinä 202247min

Engineering an ML-Powered Developer-First Search Engine with Richard Socher - #582

Engineering an ML-Powered Developer-First Search Engine with Richard Socher - #582

Today we’re joined by Richard Socher, the CEO of You.com. In our conversation with Richard, we explore the inspiration and motivation behind the You.com search engine, and how it differs from the trad...

11 Heinä 202246min

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