AutoML | Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars

Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars

Posted on December 5, 2023 by Rhea Sukthanker

Authors: Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sanjay Sukthanker, Thomas Brox, and Frank Hutter TL;DR We take a functional view of neural architecture search that allows us to construct highly expressive search spaces based on context-free grammars, and show that we can efficiently find well-performing architectures. NAS is great, but… The neural architecture plays […]

Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition

Deep learning is applied to a wide variety of socially-consequential domains, e.g., credit scoring, fraud detection, hiring decisions, criminal recidivism, loan repayment, and face recognition, with many of these applications impacting the lives of people more than ever — often in biased ways. Dozens of formal definitions of fairness have been proposed, and many algorithmic […]