1.5k citations · 2.8k across the 17 of their papers we have counts for
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cs.LG2019★ 48 cited
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
Felipe Petroski Such, Aditya Rawal, Joel Lehman +2
This paper investigates the intriguing question of whether we can create learning algorithms that automatically generate training data, learning environments, and curricula in orde…
cs.CV2019
Fully Convolutional Networks for Handwriting Recognition
Felipe Petroski Such, Dheeraj Peri, Frank Brockler +2
Handwritten text recognition is challenging because of the virtually infinite ways a human can write the same message. Our fully convolutional handwriting model takes in a handwrit…