92 citations · 94 across the 2 of their papers we have counts for
3 papers
Transformers are Deep Infinite-Dimensional Non-Mercer Binary Kernel Machines
Matthew A. Wright, Joseph E. Gonzalez
Despite their ubiquity in core AI fields like natural language processing, the mechanics of deep attention-based neural networks like the Transformer model are not fully understood…
Distributed Parallel Inference on Large Factor Graphs
Joseph E. Gonzalez, Yucheng Low, Carlos E. Guestrin +1
As computer clusters become more common and the size of the problems encountered in the field of AI grows, there is an increasing demand for efficient parallel inference algorithms…
Distributed GraphLab: A Framework for Machine Learning in the Cloud
Yucheng Low, Joseph Gonzalez, Aapo Kyrola +3
While high-level data parallel frameworks, like MapReduce, simplify the design and implementation of large-scale data processing systems, they do not naturally or efficiently suppo…