Pinned Repositories
Active-Learning-Bayesian-Convolutional-Neural-Networks
Active Learning on Image Data using Bayesian ConvNets
BatchBALD
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
Circle-Loss
Tensorflow2 implementation of CircleLoss. Support class-level, sparse class-level, pair-wise labels
cs-kd
Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)
Deep-Bayesian-Self-Training
Deep Bayesian Self-Training [official implementation]
DST-CBC
Implementation of our paper "Semi-Supervised Semantic Segmentation via Dynamic Self-Training and Class-Balanced Curriculum"
learning-class-invariant-features
Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
MagnetLoss-PyTorch
PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
MCDropout
Implementation of Monte Carlo Dropout for Bayesian Convolutional Neural Network, Investigating Uncertainty of DeepNeuralNetwork
MIGE
Mutual Information Gradient Estimation
123456wxb's Repositories
123456wxb/Active-Learning-Bayesian-Convolutional-Neural-Networks
Active Learning on Image Data using Bayesian ConvNets
123456wxb/BatchBALD
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
123456wxb/Circle-Loss
Tensorflow2 implementation of CircleLoss. Support class-level, sparse class-level, pair-wise labels
123456wxb/cs-kd
Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)
123456wxb/Deep-Bayesian-Self-Training
Deep Bayesian Self-Training [official implementation]
123456wxb/DST-CBC
Implementation of our paper "Semi-Supervised Semantic Segmentation via Dynamic Self-Training and Class-Balanced Curriculum"
123456wxb/learning-class-invariant-features
Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
123456wxb/MagnetLoss-PyTorch
PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
123456wxb/MCDropout
Implementation of Monte Carlo Dropout for Bayesian Convolutional Neural Network, Investigating Uncertainty of DeepNeuralNetwork
123456wxb/MIGE
Mutual Information Gradient Estimation
123456wxb/pseudo_label-pytorch
The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks
123456wxb/self-adaptive-training
Official implementation of the paper 'Self-Adaptive Training: beyond Empirical Risk Minimization'
123456wxb/siamese_net
This package shows how to train a siamese network using Lasagne and Theano and includes network definitions for state-of-the-art networks including: DeepID, DeepID2, Chopra et. al, and Hani et. al. We also include one pre-trained model using a custom convolutional network.