This would be particularly useful for large datasets like imagenet. Table 2 shows the area under accuracydrop curve(AUC) on MNIST Figure 4for gradient when training traditionally,training using saliencyguided procedure andfine-tuning (smaller AUCindicates better performance).

Neural Information Processing Systems http://nips.cc/

Neural circuits are typically comprised of populations of primary (excitatory) neurons and local (inhibitory) interneurons.

This limits SNNs' capability of transmitting precise information in the network, which becomes worse for deeper SNNs.

Figure1: Different mask criteria can be thought of as segmenting the 2D (wi = initial weight value,wf = final weight value) space into regionscorresponding tomaskvaluesof1vs0.

Severalworksextend thesetodynamic scenes captured with monocular video, with promising performance.

Each AvehicleC starts sumofcityC, after again.

Ta s k: Your task is to boil tin.