README.md

MNIST-multitask

Reproduce ICLR2018 under-reviewed paper MULTI-TASK LEARNING ON MNIST IMAGE DATASETS

the paper argues that pre-train network with MNIST-like dataset can boost performance

results

dataset	single-task	M+F	single-task (paper reported)	M+F (paper reported)
MNIST	0.996	0.9956	0.9956	0.9971
FashionMNIST	0.9394	0.942	0.9432	0.9518

discussion

in my reproduction, FashionMNIST performs better with MNIST+FashionMNIST pre-trained first

but MNIST doesn't enjoy the benefits of pre-training.

The bias between reproduction and paper can result from preprocess of data.

Author

Po-Chih Huang / @pochih