2.4k citations · 12.3k across the 115 of their papers we have counts for
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Deep Feature Interpolation for Image Content Changes
Paul Upchurch, Jacob Gardner, Geoff Pleiss +4
We propose Deep Feature Interpolation (DFI), a new data-driven baseline for automatic high-resolution image transformation. As the name suggests, it relies only on simple linear in…
Densely Connected Convolutional Networks
Gao Huang, Zhuang Liu, Laurens van der Maaten +1
Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the…
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification
Xilun Chen, Yu Sun, Ben Athiwaratkun +2
In recent years great success has been achieved in sentiment classification for English, thanks in part to the availability of copious annotated resources. Unfortunately, most lang…
Deep Networks with Stochastic Depth
Gao Huang, Yu Sun, Zhuang Liu +2
Very deep convolutional networks with hundreds of layers have led to significant reductions in error on competitive benchmarks. Although the unmatched expressiveness of the many la…