Posts Tagged :

Neurips

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

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Privacy-Preserving Decentralized Data Science with Andrew Trask
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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

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

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Pathologies of Neural Models and Interpretability with Alvin Grissom II
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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

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Teaching AI to Preschoolers with Randi Williams
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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

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TWiML Presents: Black in AI 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…

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

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Making Algorithms Trustworthy with David Spiegelhalter
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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…

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Designing Computer Systems for Software with Kunle Olukotun
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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

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Approaches to Fairness in Machine Learning with Richard Zemel
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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…

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