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Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction
We describe three baseline beating systems for the high-resource English-only sub-task of the SIGMORPHON 2021 Shared Task 1: a small ensemble that Dialpad’s speech recognition team uses internally, a well-known off-the-shelf model, and a larger ensemble model comprising these and others.
On the Steganographic Capacity of Selected Learning Models
In this research, we consider the general question of the steganographic capacity of learning models.
Fast Linear Interpolation for Piecewise-Linear Functions, GAMs, and Deep Lattice Networks
We present fast implementations of linear interpolation operators for both piecewise linear functions and multi-dimensional look-up tables.
Polystore++: Accelerated Polystore System for Heterogeneous Workloads
Modern real-time business analytic consist of heterogeneous workloads (e. g, database queries, graph processing, and machine learning).
