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Models from experiments referenced in the paper "Training CNNs with Low-Rank Filters for Efficient Image Classification", https://arxiv.org/abs/1511.06744 Model names differ from those in the paper, but the csv files for each set of experiments relates the paper's name for the model and the real name of the model here: cifarma.csv: Network-in-Network CIFAR10 Models mitma.csv: MIT Places Models googlenetma.csv: GoogLeNet ILSVRC2012 Models vggma.csv: VGG-11 ILSVRC2012 Models
Machine Learning, Low-Rank, Deep Learning, Neural Networks, Computer Vision, Convolutional Neural Networks, ILSVRC
Machine Learning, Low-Rank, Deep Learning, Neural Networks, Computer Vision, Convolutional Neural Networks, ILSVRC
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 3 |

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