1. David Alvarez-Melis and Tommi S. Jaakkola. 2018. Towards robust interpretability with self-explaining neural networks. In Proceedings of the Conference on Neural Information Processing Systems (NeurIPS’18).
2. Explainable artificial intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI;Arrieta Alejandro Barredo;Inf. Fusion,2020
3. Sarah Adel Bargal, Andrea Zunino, Vitali Petsiuk, Jianming Zhang, Kate Saenko, Vittorio Murino, and Stan Sclaroff. 2018. Guided zoom: Questioning network evidence for fine-grained classification. In Proceedings of the British Machine Vision Conference (BMVC’18).
4. Qi Cai, Yingwei Pan, Chong-Wah Ngo, Xinmei Tian, Lingyu Duan, and Ting Yao. 2019. Exploring object relation in mean teacher for cross-domain detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 11457–11466.
5. Qi Cai, Yingwei Pan, Ting Yao, Chenggang Clarence Yan, and Tao Mei. 2018. Memory matching networks for one-shot image recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR’18).