PaddlePaddle/InterpretDL v0.7.0

InterpretDL v0.7.0 Release

Repository: PaddlePaddle/InterpretDL

Tag: v0.7.0

Published: 2022-08-25T04:49:37Z

Prerelease: no

Release notes: We release the version 0.7.0 of InterpretDL, with new features as follows:

• Examples are put into a separate directory `examples/`. Tutorials are still kept in the previous directory `tutorials`.
• A new explanation algorithm `bidirectional_transformer` is implemented.
• Documentation is improved.
• Fix some bugs.

We also would like to brag about ourselves that our paper with InterpretDL is accepted by Journal of Machine Learning Research (JMLR).

> Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Zeyu Chen, and Dejing Dou. “InterpretDL: Explaining Deep Models in PaddlePaddle.” Journal of Machine Learning Research, 2022. https://jmlr.org/papers/v23/21-0738.html.

One survey paper is accepted by Knowledge and Information Systems (KAIS):

> Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Jiang Bian, and Dejing Dou. “Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond.” Knowledge and Information Systems, 2022, Springer. https://arxiv.org/abs/2103.10689.

And two research works got accepted by ECML'22 and Machine Learning Journal:

> Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou. Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study. ECML'22, Machine Learning Journal Track. https://arxiv.org/abs/2109.00707.

> Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, and Dejing Dou. "Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models." Machine Learning (2022): 1-17. https://arxiv.org/abs/2207.03335.

We have also released a dataset containing 1.2M+ pseudo semantic segmentation images of ImageNet. Refer to PaddleSeg:PSSL for downloading the dataset and the pretrained models.