2 papers
cs.LG2019
Neural Input Search for Large Scale Recommendation Models
Manas R. Joglekar, Cong Li, Jay K. Adams +2
Recommendation problems with large numbers of discrete items, such as products, webpages, or videos, are ubiquitous in the technology industry. Deep neural networks are being incre…
cs.DC2018
Distributed Evaluation of Subgraph Queries Using Worstcase Optimal LowMemory Dataflows
Khaled Ammar, Frank McSherry, Semih Salihoglu +1
We study the problem of finding and monitoring fixed-size subgraphs in a continually changing large-scale graph. We present the first approach that (i) performs worst-case optimal…