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Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.

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Transductive Propagation Network

Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning. pdf

Pytorch Version

https://github.com/csyanbin/TPN-pytorch

Requirements

  • Python 3.5
  • Tensorflow 1.3+
  • tqdm

Data Download (miniImagenet and tieredImagenet)

Please download the compressed tar files from: https://github.com/renmengye/few-shot-ssl-public

mkdir -p data/miniImagenet/data
tar -zxvf mini-imagenet.tar.gz
mv *.pkl data/miniImagenet/data

mkdir -p data/tieredImagenet/data
tar -xvf tiered-imagenet.tar
mv *.pkl data/tieredImagenet/data

TPN mini-5way1shot

python train.py --gpu=0 --n_way=5 --n_shot=1 --n_test_way=5 --n_test_shot=1 --lr=0.001 --step_size=10000 --dataset=mini --exp_name=mini_TPN_5w1s_5tw1ts_rn300_k20 --rn=300 --alpha=0.99 --k=20
python test.py --gpu=0 --n_way=5 --n_shot=1 --n_test_way=5 --n_test_shot=1 --lr=0.001 --step_size=10000 --dataset=mini --exp_name=mini_TPN_5w1s_5tw1ts_rn300_k20 --rn=300 --alpha=0.99 --k=20 --iters=81500

TPN mini-5way5shot

python train.py --gpu=0 --n_way=5 --n_shot=5 --n_test_way=5 --n_test_shot=5 --lr=0.001 --step_size=10000 --dataset=mini --exp_name=mini_TPN_5w5s_5tw5ts_rn300_k20 --rn=300 --alpha=0.99 --k=20
python test.py --gpu=0 --n_way=5 --n_shot=5 --n_test_way=5 --n_test_shot=5 --lr=0.001 --step_size=10000 --dataset=mini --exp_name=mini_TPN_5w5s_5tw5ts_rn300_k20 --rn=300 --alpha=0.99 --k=20 --iters=50100

TPN tiered-5way1shot

python train.py --gpu=0 --n_way=5 --n_shot=1 --n_test_way=5 --n_test_shot=1 --lr=0.001 --step_size=25000 --dataset=tiered --exp_name=tiered_TPN_5w1s_5tw1ts_rn300_k20 --rn=300 --alpha=0.99 --k=20

TPN tiered-5way5shot

python train.py --gpu=0 --n_way=5 --n_shot=5 --n_test_way=5 --n_test_shot=5 --lr=0.001 --step_size=25000 --dataset=tiered --exp_name=tiered_TPN_5w5s_5tw5ts_rn300_k20 --rn=300 --alpha=0.99 --k=20

Citation

If you use our code, please consider to cite the following paper:

  • Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sungju Hwang, Yi Yang. Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning. In Proceedings of 7th International Conference on Learning Representations (ICLR), 2019.

@inproceedings{liu2019fewTPN,
	title={Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning},
	author={Yanbin Liu and 
		Juho Lee and 
		Minseop Park and 
		Saehoon Kim and 
		Eunho Yang and 
		Sungju Hwang and 
		Yi Yang},
booktitle={International Conference on Learning Representations},
year={2019},
}

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Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.

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