huangleiBuaa

CenteredWN

This project is the Torch implementation of our ICCV 2017 paper: Centered Weight Normalization in Accelerating Training of Deep Neural Networks

IterNorm

This project is the Torch implementation of our accepted CVPR 2019 paper, Iterative Normalization: Beyond Standardization towards Efficient Whitening

IterNorm-pytorch

This is the pytorch re-implementation of the IterNorm

LRCount-CNN

This code is for our ICML 2020 paper "On the Number of Linear Regions of Convolutional Neural Networks."

NormalizationSurvey

This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application

ONI

PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs

OthogonalWN

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 )

StochasticityBW

PyTorch and Tensorflow implementation for our accepted CVPR 2020 paper (Oral): An Investigation into the Stochasticity of Batch Whitening

XBNBlock

This project is the PyTorch implementation of our CVPR 2022 paper:

DecorrelatedBN

Code for Decorrelated Batch Normalization

huangleiBuaa/NormalizationSurvey

This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application

huangleiBuaa/OthogonalWN

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 )

huangleiBuaa/IterNorm-pytorch

This is the pytorch re-implementation of the IterNorm

huangleiBuaa/XBNBlock

This project is the PyTorch implementation of our CVPR 2022 paper:

huangleiBuaa/IterNorm

This project is the Torch implementation of our accepted CVPR 2019 paper, Iterative Normalization: Beyond Standardization towards Efficient Whitening

huangleiBuaa/ONI

PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs

huangleiBuaa/CenteredWN

This project is the Torch implementation of our ICCV 2017 paper: Centered Weight Normalization in Accelerating Training of Deep Neural Networks

huangleiBuaa/LRCount-CNN

This code is for our ICML 2020 paper "On the Number of Linear Regions of Convolutional Neural Networks."

huangleiBuaa/StochasticityBW

PyTorch and Tensorflow implementation for our accepted CVPR 2020 paper (Oral): An Investigation into the Stochasticity of Batch Whitening

huangleiBuaa/GroupWhitening

This project is the PyTorch implementation of our accepted CVPR 2021 paper, Group Whitening: Balancing Learning Efficiency and Representational Capacity

huangleiBuaa/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 matlab

huangleiBuaa/NormProjection

This project is the Torch implementation of the paper: Projection Based Weight Normalization for Deep Neural Networks (arXiv:1710.02338)

huangleiBuaa/LayerwiseCA

This project is for the paper: Exploring learning dynamics of DNNs via layerwise conditioning analysis

huangleiBuaa/Ladder_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/huangleiBuaa.github.io

huangleiBuaa/chauff.github.io

Website & blog

huangleiBuaa/decorrelated_bn

An implementation of DecorrelatedBN by tensorflow

huangleiBuaa/maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.