Paperlist DeepLearning Aspect

• Deep Residual Learning for Image Recognition, Kaiming He, Xiangyu Zhang,..
• SphereFace: Deep Hypersphere Embedding for Face Recognition, Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song
• MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications, Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, Hartwig Adam
• ArcFace: Additive Angular Margin Loss for Deep Face Recognition, Jiankang Deng, Jia Guo, Niannan Xue, Stefanos Zafeiriou
• PRIMES is in P, Manindra Agrawal, Neeraj Kayal, Nitin Saxena
• NormFace: L2 Hypersphere Embedding for Face Verification, Feng Wang, Xiang Xiang, Jian Cheng, Alan L. Yuille
• Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour, Priya Goyal, Piotr Dollár, Ross Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, Kaiming He
• mixup: Beyond Empirical Risk Minimization,Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, David Lopez-Paz
• Support Vector Guided Softmax Loss for Face Recognition, Xiaobo Wang, Shuo Wang, Shifeng Zhang, Tianyu Fu, Hailin Shi, Tao Mei
• Batch Normalization: Accelerating Deep Network Training byReducing Internal Covariate Shift, Sergey IoffeGoogle Inc.,sioffe@google.comChristian SzegedyGoogle Inc.,szegedy@google.com
• Large-Margin Softmax Loss for Convolutional Neural Networks, Weiyang Liu, Yandong Wen, Zhiding Yu, Meng Yang
• Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning, Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alex Alemi
• ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices, Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, Jian Sun
• Squeeze-and-Excitation Networks, Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu
• ImageNet Classification with Deep ConvolutionalNeural Networks, Alex Krizhevsky University of Toronto kriz@cs.utoronto.ca
• Very Deep Convolutional Networks for Large-Scale Image Recognition, Karen Simonyan, Andrew Zisserman
• On the importance of initialization and momentum in deep learning, Ilya Sutskever...
• CutMix: Regularization Strategy to Train Strong Classifierswith Localizable Features, ..
• Yang Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding ICCV 2019
• Controllable Artistic Text Style Transfer via Shape-Matching GAN
• Disentangled Image Matting