Microsoft Research335 тыс
Опубликовано 23 июня 2020, 18:11
Trustworthy and Robust AI Collaboration (TRAC) Workshop
Day 1 Lightning Talks:
Tamara Broderick, Massachusetts Institute of Technology
Approximate Cross-Validation for Complex Models
Ankur Moitra, Massachusetts Institute of Technology
Classification under Misspecification, and Implications for Fairness
Maggie Makar, Massachusetts Institute of Technology
Learnability of Contagious Infections Under Incomplete Testing
Kai Jia, Massachusetts Institute of Technology
Exploiting Verified Neural Networks via Floating Point Numerical Error
Lucas Liebenwein, Massachusetts Institute of Technology
Provable Filter Pruning for Efficient Neural Networks
See more at microsoft.com/en-us/research/v...
Day 1 Lightning Talks:
Tamara Broderick, Massachusetts Institute of Technology
Approximate Cross-Validation for Complex Models
Ankur Moitra, Massachusetts Institute of Technology
Classification under Misspecification, and Implications for Fairness
Maggie Makar, Massachusetts Institute of Technology
Learnability of Contagious Infections Under Incomplete Testing
Kai Jia, Massachusetts Institute of Technology
Exploiting Verified Neural Networks via Floating Point Numerical Error
Lucas Liebenwein, Massachusetts Institute of Technology
Provable Filter Pruning for Efficient Neural Networks
See more at microsoft.com/en-us/research/v...
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