Neurips Archives - This Week in Machine Learning & AI

Snorkel: A System for Fast Training Data Creation with Alex Ratner

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May 30, 2019

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Today we’re joined by Alex Ratner, Ph.D. student at Stanford, to discuss his work on Snorkel, a framework for creating training data with weak supervised learning techniques. … Read the…

Privacy-Preserving Decentralized Data Science with Andrew Trask

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March 21, 2019

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Today we’re joined by Andrew Trask, PhD student at the University of Oxford and Leader of the OpenMined Project. … Read the rest

Fairness in Machine Learning with Hanna Wallach

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February 20, 2019

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Today we’re joined by Hanna Wallach, a Principal Researcher at Microsoft Research. … Read the rest

Pathologies of Neural Models and Interpretability with Alvin Grissom II

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February 11, 2019

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Today, we’re excited to continue our Black in AI series with Alvin Grissom II, Assistant Professor of Computer Science at Ursinus College. … Read the rest

Teaching AI to Preschoolers with Randi Williams

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January 31, 2019

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Today, in the first episode of our Black in AI series, we’re joined by Randi Williams, PhD student at the MIT Media Lab. … Read the rest

TWiML Presents: Black in AI 2019

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January 31, 2019

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While at NeurIPS this past December, I had the pleasure of attending the second annual Black in AI workshop and dinner, which brings in participants from all over the world…

Training Large-Scale Deep Nets with RL with Nando de Freitas

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December 21, 2018

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Today we close out both our NeurIPS series and our 2018 conference coverage with this interview with Nando de Freitas, Team Lead & Principal Scientist at Deepmind and Fellow at…

Making Algorithms Trustworthy with David Spiegelhalter

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December 19, 2018

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In this, the second episode of our NeurIPS series, we’re joined by David Spiegelhalter, Chair of Winton Center for Risk and Evidence Communication at Cambridge University and President of the…

Designing Computer Systems for Software with Kunle Olukotun

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December 17, 2018

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Today we’re joined by Kunle Olukotun, Professor in the department of Electrical Engineering and Computer Science at Stanford University, and Chief Technologist at Sambanova Systems. … Read the rest

Approaches to Fairness in Machine Learning with Richard Zemel

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December 12, 2018

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Today we continue our exploration of Trust in AI with this interview with Richard Zemel, Professor in the department of Computer Science at the University of Toronto and Research Director…