Learning to Train a Binary Neural Network

ImageNet: A Large-Scale Hierarchical Image Database

Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: · 2009

Earlier work this paper cites.

MNIST handwritten digit database

LeCun, Y., Cortes, C.: · 2010

Earlier work this paper cites.

Neural Networks for Machine Learning, Coursera

Hinton, G.: · 2012

Earlier work this paper cites.

Imagenet classification with deep convolutional neural networks

Krizhevsky, A., Sutskever, I., Hinton, G.E.: · 2012

Earlier work this paper cites.

Cifar-10 (canadian institute for advanced research) (2014)

Krizhevsky, A., Nair, V., Hinton, G.: · 2014

Earlier work this paper cites.

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Han, S., Mao, H., Dally, W.J.: · 2015

Earlier work this paper cites.

Going deeper with convolutions, Cvpr (2015)

Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A., Others: · 2015

Earlier work this paper cites.

Rethinking the Inception Architecture for Computer Vision

Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z.: · 2015

Earlier work this paper cites.

Inceptionism: Going Deeper into Neural Networks

Mordvintsev, A., Olah, C., Tyka, M.: · 2015

Cited alongside, same era.

Batch normalization: Accelerating deep network training by reducing internal covariate shift

Ioffe, S., Szegedy, C.: · 2015

Cited alongside, same era.

Very deep convolutional networks for large-scale image recognition

Simonyan, K., Zisserman, A.: · 2015

Cited alongside, same era.

Binarized neural networks

Hubara, I., Courbariaux, M., Soudry, D., El-Yaniv, R., Bengio, Y.: · 2016

Cited alongside, same era.

DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Zhou, S., Wu, Y., Ni, Z., Zhou, X., Wen, H., Zou, Y.: · 2016

Cited alongside, same era.

Xnor-net: Imagenet classification using binary convolutional neural networks

Rastegari, M., Ordonez, V., Redmon, J., Farhadi, A.: · 2016

VisualBackProp: efficient visualization of CNNs

Bojarski, M., Choromanska, A., Choromanski, K., Firner, B., Jackel, L., Muller, U., Zieba, K.: · 2016

Later among the works it cites.

Bmxnet: An open-source binary neural network implementation based on mxnet

Yang, H., Fritzsche, M., Bartz, C., Meinel, C.: · 2017

Later among the works it cites.

Densely connected convolutional networks

Huang, G., Liu, Z., Weinberger, K.Q., van der Maaten, L.: · 2017

Later among the works it cites.

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Howard, A.G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Andreetto, M., Adam, H.: · 2017

Later among the works it cites.

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

Zhang, X., Zhou, X., Lin, M., Sun, J.: · 2017

Later among the works it cites.

Towards accurate binary convolutional neural network