546 citations · 553 across the 3 of their papers we have counts for
3 papers
cs.CV2017★ 2 cited
Improving image generative models with human interactions
Andrew Kyle Lampinen, David So, Douglas Eck +1
GANs provide a framework for training generative models which mimic a data distribution. However, in many cases we wish to train these generative models to optimize some auxiliary…
cs.SD2017★ 5 cited
Learning and Evaluating Musical Features with Deep Autoencoders
Mason Bretan, Sageev Oore, Doug Eck +1
In this work we describe and evaluate methods to learn musical embeddings. Each embedding is a vector that represents four contiguous beats of music and is derived from a symbolic…
cs.NE2017★ 546 cited
A Neural Representation of Sketch Drawings
David Ha, Douglas Eck
We present sketch-rnn, a recurrent neural network (RNN) able to construct stroke-based drawings of common objects. The model is trained on thousands of crude human-drawn images rep…