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Found 3 papers, 1 papers with code
Provable Robust Classification via Learned Smoothed Densities
We test the theory on MNIST and we show that with a learned smoothed energy function and a linear classifier we can achieve provable $\ell_2$ robust accuracies that are competitive with empirical defenses.
Joint Learning of Distributed Representations for Images and Texts
The learned representations attempt to capture the combination of various visual concepts and cues.
From Captions to Visual Concepts and Back
The language model learns from a set of over 400, 000 image descriptions to capture the statistics of word usage.
Ranked #1 on
Image Captioning
on COCO Captions test
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