12 citations · 37 across the 9 of their papers we have counts for
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cs.LG2019★ 6 cited
Resource-aware Elastic Swap Random Forest for Evolving Data Streams
Diego Marrón, Eduard Ayguadé, José Ramon Herrero +1
Continual learning based on data stream mining deals with ubiquitous sources of Big Data arriving at high-velocity and in real-time. Adaptive Random Forest ({\em ARF}) is a popular…
cs.LG2018
Low-Precision Floating-Point Schemes for Neural Network Training
Marc Ortiz, Adrián Cristal, Eduard Ayguadé +1
The use of low-precision fixed-point arithmetic along with stochastic rounding has been proposed as a promising alternative to the commonly used 32-bit floating point arithmetic to…