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Normalization

341 papers

Papers per year

1
46
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Papers

Instance-Level Meta Normalization CVPR 2019
Iterative Normalization: Beyond Standardization Towards Efficient Whitening CVPR 2019
Dynamic Recursive Neural Network CVPR 2019
Efficient Multi-Domain Learning by Covariance Normalization CVPR 2019
Exploiting Edge Features for Graph Neural Networks CVPR 2019
Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation CVPR 2019
Switchable Whitening for Deep Representation Learning ICCV 2019
EvalNorm: Estimating Batch Normalization Statistics for Evaluation ICCV 2019
A Kernel Perspective for Regularizing Deep Neural Networks ICML 2019
What is the Effect of Importance Weighting in Deep Learning? ICML 2019
A Large-Scale Study on Regularization and Normalization in GANs ICML 2019
Characterizing Well-Behaved vs. Pathological Deep Neural Networks ICML 2019
Jumpout : Improved Dropout for Deep Neural Networks with ReLUs ICML 2019
Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph IJCNLP 2019
Towards a Better Understanding and Regularization of GAN Training Dynamics UAI 2019
Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks NIPS 2018
Understanding Batch Normalization NIPS 2018
Regularizing by the Variance of the Activations' Sample-Variances NIPS 2018
DropBlock: A regularization method for convolutional networks NIPS 2018
Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units NIPS 2018
How Does Batch Normalization Help Optimization? NIPS 2018
Norm matters: efficient and accurate normalization schemes in deep networks NIPS 2018
On the Local Hessian in Back-propagation NIPS 2018
Kalman Normalization: Normalizing Internal Representations Across Network Layers NIPS 2018
Removing the Feature Correlation Effect of Multiplicative Noise NIPS 2018