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Found 2 papers, 1 papers with code
HOW IMPORTANT ARE NETWORK WEIGHTS? TO WHAT EXTENT DO THEY NEED AN UPDATE?
We wish to show that starting from the third epoch, freezing weights which have no informative gradient and are less likely to be changed during training, results in a very slight drop in the overall accuracy (and in sometimes better).
Look and Modify: Modification Networks for Image Captioning
Attention-based neural encoder-decoder frameworks have been widely used for image captioning.
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