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NormalizationSurvey
This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and ApplicationOthogonalWN
This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonality constraints over Steifel manifold in deep neural networks (arXiv:1709.06079 )IterNorm-pytorch
This is the pytorch re-implementation of the IterNormXBNBlock
This project is the PyTorch implementation of our CVPR 2022 paper:IterNorm
This project is the Torch implementation of our accepted CVPR 2019 paper, Iterative Normalization: Beyond Standardization towards Efficient WhiteningONI
PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNsCenteredWN
This project is the Torch implementation of our ICCV 2017 paper: Centered Weight Normalization in Accelerating Training of Deep Neural NetworksLRCount-CNN
This code is for our ICML 2020 paper "On the Number of Linear Regions of Convolutional Neural Networks."GroupWhitening
This project is the PyTorch implementation of our accepted CVPR 2021 paper, Group Whitening: Balancing Learning Efficiency and Representational CapacityNormProjection
This project is the Torch implementation of the paper: Projection Based Weight Normalization for Deep Neural Networks (arXiv:1710.02338)Active-GBSSL
This is a project of my paper related to active learning and graph based semi-supervised learning, which is published on ICME 2014. The project is written by matlabLayerwiseCA
This project is for the paper: Exploring learning dynamics of DNNs via layerwise conditioning analysisLadder_deepSSL_NP
The reimplementation of Ladder networks with projection based weight normalization. We achieved test errors as 2.52%, 1.06%, and 0.91% on Permunate invariant MNIST dataset with 20, 50, and 100 labeled samples respectively, which is the state-of-the-art results.huangleiBuaa.github.io
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