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Feature maps contain rich information about image intensity and spatial correlation.
Model compression
Buciluǎ, C., Caruana, R., and Niculescu-Mizil, A · 2006
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Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., and Hinton, G. E · 2012
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Generative adversarial nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y · 2014
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Adam: A method for stochastic optimization
Kingma, D. P. and Ba, J · 2014
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Fitnets: Hints for thin deep nets
Romero, A., Ballas, N., Kahou, S. E., Chassang, A., Gatta, C., and Bengio, Y · 2014
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Distilling the knowledge in a neural network
Hinton, G., Vinyals, O., and Dean, J · 2015
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ImageNet Large Scale Visual Recognition Challenge
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., Berg, A. C., and Fei-Fei, L · 2015
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Unsupervised and semi-supervised learning with categorical generative adversarial networks
Springenberg, J. T · 2015
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., and Sun, J · 2016
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Pruning filters for efficient convnets
Li, H., Kadav, A., Durdanovic, I., Samet, H., and Graf, H. P · 2016
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Adversarial training methods for semi-supervised text classification
Miyato, T., Dai, A. M., and Goodfellow, I · 2016
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Connecting generative adversarial networks and actor-critic methods
Pfau, D. and Vinyals, O · 2016
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Xnor-net: Imagenet classification using binary convolutional neural networks
Rastegari, M., Ordonez, V., Redmon, J., and Farhadi, A · 2016
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Grad-cam: Visual explanations from deep networks via gradient-based localization
Selvaraju, R. R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., and Batra, D · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Zhu, J.-Y., Park, T., Isola, P., and Efros, A. A · 2017
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Paraphrasing complex network: Network compression via factor transfer
Kim, J., Park, S., and Kwak, N · 2018
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Knowledge distillation by on-the-fly native ensemble
Lan, X., Zhu, X., and Gong, S · 2018
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Ktan: knowledge transfer adversarial network
Liu, P., Liu, W., Ma, H., Mei, T., and Seok, M · 2018
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Deep mutual learning
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Towards diverse and natural image descriptions via a conditional gan
Dai, B., Fidler, S., Urtasun, R., and Lin, D · 2017
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Image-to-image translation with conditional adversarial networks
Isola, P., Zhu, J.-Y., Zhou, T., and Efros, A. A · 2017
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Least squares generative adversarial networks
Mao, X., Li, Q., Xie, H., Lau, R. Y., Wang, Z., and Paul Smolley, S · 2017
Cited alongside, same era.
Cifar-100 (canadian institute for advanced research)
Krizhevsky, A., Nair, V., and Hinton, G
Cited in the paper.
Zagoruyko, S. and Komodakis, N
Cited in the paper.
Zagoruyko, S. and Komodakis, N
Cited in the paper.
Zhang, Y., Xiang, T., Hospedales, T. M., and Lu, H · 2018
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Federated learning: Challenges, methods, and future directions
Li, T., Sahy, A. K., Talwalkar, A., and Smith, V · 2019
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