I see lots of people stating unequivocally that the deep learning boom started with Krizhevsky et al 2012. But I see little credit given to Ciresan et al, who were winning image classification competitions in 2011 with deep convnets implemented in CUDA, trained on NVIDIA GPUs
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More precisely: credit attribution tends to follow a winner-takes-all model, whereas innovation is more of an accretion process, where macro trends may well matter more than individual contributions.
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