Code of "Partial-label Learning with Semantic Label Representations" KDD2022.

requires: python3.9 torch1.12 python-transformers

dataset_dir: ../datasets/

parameters: cifar10 cifar100 cifar100-H cub200 beta: 1 0.01 0.05 0.01 sigma: 0.1 0.1 0.1 0.15

run: python train_cifar10.py -partial_rate 0.1 -loss_weight 1 -n_map 2 -sigma 0.1 -n_class 10

python train.py -dataset cifar100 -partial_rate 0.01 -loss_weight 0.01 -n_map 2 -sigma 0.1 -n_class 100

python train.py -dataset cifar100-H -partial_rate 0.1 -loss_weight 0.05 -n_map 3 -sigma 0.1 -n_class 100

python train.py -dataset cub -partial_rate 0.01 -loss_weight 0.01 -n_map 3 -sigma 0.15 -n_class 200