Training Faster by Separating Modes of Variation in Batch-Normalized Models
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- Type
- preprint
- Published
- 2018-06-07
- Cited by
- 49
- References
- 58
- Access
- Open access
- OpenAlex
- https://openalex.org/W2805157522
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:47014389
Keywords
Normalization (sociology), Mixture model, Gaussian, Probability density function, Pattern recognition (psychology)
References
- Methods of information geometry
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Image Classification with the Fisher Vector: Theory and Practice
- Natural Gradient Works Efficiently in Learning
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- k-means++: the advantages of careful seeding
- Scalable K-Means++
- Advances in optimizing recurrent networks
- Efficient Greedy Learning of Gaussian Mixture Models
- Fisher Kernels on Visual Vocabularies for Image Categorization
- Exploiting Generative Models in Discriminative Classifiers
- Statistical analysis of finite mixture distributions
- Rethinking the Inception Architecture for Computer Vision
- Deep Residual Learning for Image Recognition
- Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
- Improved Techniques for Training GANs
- InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
- Image Style Transfer Using Convolutional Neural Networks
- Approximate K-Means++ in Sublinear Time
- On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
Cited by
- Beyond Grids: Learning Graph Representations for Visual Recognition
- Split Batch Normalization: Improving Semi-Supervised Learning under Domain Shift
- Mode Normalization
- Describing Images by Semantic Modeling using Attributes and Tags
- Regularizing activations in neural networks via distribution matching with the Wassertein metric
- Regularizing activations in neural networks via distribution matching with the Wasserstein metric
- Normalization Techniques in Training DNNs: Methodology, Analysis and Application
- Detection and localization enhancement for satellite images with small forgeries using modified GAN-based CNN structure
- Small Waterbody Extraction With Improved U-Net Using Zhuhai-1 Hyperspectral Remote Sensing Images
- Comparison of LSTM Architecture for Malware Classification
- Analysis of the Use of Artificial Immune Systems
- Malicious URL Detection Based on Improved Multilayer Recurrent Convolutional Neural Network Model
- Automatic Segmentation of Clinical Target Volume and Organs-at-Risk for Breast Conservative Radiotherapy Using a Convolutional Neural Network
- Representative Batch Normalization with Feature Calibration
- Ancient mural classification methods based on a multichannel separable network
- Fusion Learning for sEMG Recognition of Multiple Upper-Limb Rehabilitation Movements
- A novel series arc fault detection method for photovoltaic system based on multi-input neural network
- PSO-Convolutional Neural Networks With Heterogeneous Learning Rate
- An Early Warning System for Earthquake Prediction from Seismic Data Using Batch Normalized Graph Convolutional Neural Network with Attention Mechanism (BNGCNNATT)
- A Novel Image-Based Diagnosis Method Using Improved DCGAN for Rotating Machinery
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