69 citations · 110 across the 7 of their papers we have counts for
Showing 2019Show all
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cs.LG2019★ 30 cited
Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems
Antonio Ginart, Maxim Naumov, Dheevatsa Mudigere +2
Embedding representations power machine intelligence in many applications, including recommendation systems, but they are space intensive -- potentially occupying hundreds of gigab…
cs.LG2019★ 69 cited
Making AI Forget You: Data Deletion in Machine Learning
Antonio Ginart, Melody Y. Guan, Gregory Valiant +1
Intense recent discussions have focused on how to provide individuals with control over when their data can and cannot be used --- the EU's Right To Be Forgotten regulation is an e…