Pinned Repositories
Awesome-Feature-Learning-in-Deep-Learning-Thoery
Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for scholars, enthusiasts, and anyone interested in delving into the fascinating world of feature learning within deep learning theory.
Awesome-Information-Bottleneck
This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
Awesome-Optimal-Transport-in-Deep-Learning
a collection of AWESOME things about Optimal Transport in Deep Learning
DASTNet
Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"
Domain-Adaptation-Algorithms
Record my work in transfer learning during my postgraduate period.
fast_pytorch_kmeans
This is a pytorch implementation of k-means clustering algorithm
fc-gaga
KL
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
SPR-LNL
This is the official repo for our CVPR22 paper: Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels.
2020213484's Repositories
2020213484/Awesome-Feature-Learning-in-Deep-Learning-Thoery
Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for scholars, enthusiasts, and anyone interested in delving into the fascinating world of feature learning within deep learning theory.
2020213484/Awesome-Information-Bottleneck
This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
2020213484/Awesome-Optimal-Transport-in-Deep-Learning
a collection of AWESOME things about Optimal Transport in Deep Learning
2020213484/DASTNet
Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"
2020213484/Domain-Adaptation-Algorithms
Record my work in transfer learning during my postgraduate period.
2020213484/fast_pytorch_kmeans
This is a pytorch implementation of k-means clustering algorithm
2020213484/fc-gaga
2020213484/KL
2020213484/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
2020213484/Noisy_Regression
Noisy regression (MLP, BNN-(RVI, LA))
2020213484/probabilistic_kt
Probabilistic Knowledge Transfer for Deep Neural Networks
2020213484/pytorch_optimizer
optimizer & lr scheduler & loss function collections in PyTorch
2020213484/SPR-LNL
This is the official repo for our CVPR22 paper: Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels.
2020213484/ST-GFSL
2020213484/TCA_Keystroke
2020213484/torch_meta_sgd
2020213484/TPB
2020213484/ZOOpt
A python package of Zeroth-Order Optimization (ZOOpt)
2020213484/meta-weight-net
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
2020213484/Meta-Weight-Net_Code-Optimization
A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.
2020213484/MTPB
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting
2020213484/RecogIB
Official codebase for the IJCAI 2023 paper, Recognizable Information Bottleneck
2020213484/XGBoost_quantile_regression