672 citations · 1.5k across the 24 of their papers we have counts for
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cs.CV2014★ 3 cited
Learning Compact Convolutional Neural Networks with Nested Dropout
Chelsea Finn, Lisa Anne Hendricks, Trevor Darrell
Recently, nested dropout was proposed as a method for ordering representation units in autoencoders by their information content, without diminishing reconstruction cost. However,…
cs.CV2014★ 12 cited
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach +4
Models based on deep convolutional networks have dominated recent image interpretation tasks; we investigate whether models which are also recurrent, or "temporally deep", are effe…