深度学习 论文

Layer Normalization (2016), J. Ba et al. Learning to learn by gradient descent by gradient descent (2016), M. Andrychowicz et al. Domain-adversarial training of neural networks (2016), Y. Ganin et al. WaveNet: A Generative Model for Raw Audio (2016), A. Oord et al. Colorful image colorization (2016), R. Zhang et al. Generative visual manipulation on the natural image manifold (2016), J. Zhu et al. Texture networks: Feed-forward synthesis of textures and stylized images (2016), D Ulyanov et al. SSD: Single shot multibox de tector (2016), W. Liu et al. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 1MB model size (2016), F. Iandola et al. Eie: Efficient inference engine on compressed deep neural network (2016), S. Han et al. Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1 (2016), M. Courbariaux et al. Dynamic memory networks for visual and textual question answering (2016), C. Xiong et al. Stacked attention networks for image question answering (2016), Z. Yang et al. Hybrid computing using a neural network with dynamic external memory (2016), A. Graves et al. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation (2016), Y. Wu et al. tector (2016), W. Liu et al. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 1MB model size (2016), F. Iandola et al. Eie: Efficient inference engine on compressed deep neural network (2016), S. Han et al. Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1 (2016), M. Courbariaux et al. Dynamic memory networks for visual and textual question answering (2016), C. Xiong et al. Stacked attention networks for image question answering (2016), Z. Yang et al. Hybrid computing using a neural network with dynamic external memory (2016), A. Graves et al. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation (2016), Y. Wu et al.