moonlab-yh Goto Github PK

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

ta-vaal-baselines

tapnet

Chainer Implementation of TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning

test

tod

yh