565 citations · 1.1k across the 47 of their papers we have counts for
Showing 2017Show all
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cs.CL2017★ 12 cited
One-shot and few-shot learning of word embeddings
Andrew K. Lampinen, James L. McClelland
Standard deep learning systems require thousands or millions of examples to learn a concept, and cannot integrate new concepts easily. By contrast, humans have an incredible abilit…
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…