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1502.03167
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
11 February 2015
Sergey Ioffe
Christian Szegedy
OOD
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Papers citing
"Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift"
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Title
Multinomial Adversarial Networks for Multi-Domain Text Classification
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CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation
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Stronger generalization bounds for deep nets via a compression approach
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DVAE++: Discrete Variational Autoencoders with Overlapping Transformations
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Xiaohuan Cao
P. Yap
Dinggang Shen
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Training and Inference with Integers in Deep Neural Networks
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Guoqi Li
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Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring
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Xiaotao Chen
Yuxing Peng
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104
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G
\mathcal{G}
G
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Qi Meng
Shuxin Zheng
Huishuai Zhang
Wei Chen
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Tie-Yan Liu
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Joint Learning for Pulmonary Nodule Segmentation, Attributes and Malignancy Prediction
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Hierarchical Adversarially Learned Inference
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Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
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Cross-domain CNN for Hyperspectral Image Classification
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Multichannel Sound Event Detection Using 3D Convolutional Neural Networks for Learning Inter-channel Features
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Y. Sekimoto
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PointCNN: Convolution On
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Describing Semantic Representations of Brain Activity Evoked by Visual Stimuli
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MRI Tumor Segmentation with Densely Connected 3D CNN
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Deep Neural Networks for Survival Analysis Based on a Multi-Task Framework
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An Automated System for Epilepsy Detection using EEG Brain Signals based on Deep Learning Approach
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Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers
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An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images
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Grounded Language Understanding for Manipulation Instructions Using GAN-Based Classification
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Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR
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R. Manniesing
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Multivariate LSTM-FCNs for Time Series Classification
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