Pinned Repositories
AOD_MEH_HUA
Official Pytorch implementation for the paper titled "Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation" presented on ICLR 2023.
Block-Dependent-Losses-for-Multi-Exit-Networks
Improving Low-Latency Predictions in Multi-Exit Neural Networks via Block-Dependent Losses
CAFENet
Official Pytorch implementation for the paper titled "CAFENet: Class-Agnostic Few-Shot Edge Detection Network" presented on BMVC 2021.
deepbayes-2019
Practical assignments of the Deep|Bayes summer school 2019
Few-Round-Learning-for-Federated-Learning
Official Pytorch implementation for the paper titled "Few-Round Learning for Federated Learning" presented on NeurIPS 2021.
Github_Study
This is for study pull request and merge
Github_TEST
MCT_DFMN
Pytorch implementation of Transductive Few-shot Learning with Meta-Learned Confidence
pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
TA-VAAL
Source code for Task-Aware Variational Adversarial Active Learning
MoonLab-YH's Repositories
MoonLab-YH/AOD_MEH_HUA
Official Pytorch implementation for the paper titled "Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation" presented on ICLR 2023.
MoonLab-YH/Few-Round-Learning-for-Federated-Learning
Official Pytorch implementation for the paper titled "Few-Round Learning for Federated Learning" presented on NeurIPS 2021.
MoonLab-YH/CAFENet
Official Pytorch implementation for the paper titled "CAFENet: Class-Agnostic Few-Shot Edge Detection Network" presented on BMVC 2021.
MoonLab-YH/Block-Dependent-Losses-for-Multi-Exit-Networks
Improving Low-Latency Predictions in Multi-Exit Neural Networks via Block-Dependent Losses
MoonLab-YH/deepbayes-2019
Practical assignments of the Deep|Bayes summer school 2019
MoonLab-YH/Github_Study
This is for study pull request and merge
MoonLab-YH/Github_TEST
MoonLab-YH/MCT_DFMN
Pytorch implementation of Transductive Few-shot Learning with Meta-Learned Confidence
MoonLab-YH/pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
MoonLab-YH/TA-VAAL
Source code for Task-Aware Variational Adversarial Active Learning
MoonLab-YH/TA-VAAL-Baselines
MoonLab-YH/TapNet
Chainer Implementation of TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
MoonLab-YH/test
MoonLab-YH/TOD
MoonLab-YH/yh