Evaluation of CNN Performance in Semantically Relevant Latent Spaces-Reference-Cited by-同舟云学术

Evaluation of CNN Performance in Semantically Relevant Latent Spaces

Published:2020 Issue: Volume: Page:145-157
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

van Doorenmalen Jeroen,Menkovski Vlado

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-44584-3_12

Reference21 articles.

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2. Carter, S., Armstrong, Z., Schubert, L., Johnson, I., Olah, C.: Activation atlas. Distill (2019). https://doi.org/10.23915/distill.00015 , https://distill.pub/2019/activation-atlas

3. Challen, R., Denny, J., Pitt, M., Gompels, L., Edwards, T., Tsaneva-Atanasova, K.: Artificial intelligence, bias and clinical safety. BMJ Qual. Saf. 28(3), 231–237 (2019). https://doi.org/10.1136/bmjqs-2018-008370 . https://qualitysafety.bmj.com/content/28/3/231

4. Feghahati, A., Shelton, C.R., Pazzani, M.J., Tang, K.: CDeepEx: contrastive deep explanations (2019). https://openreview.net/forum?id=HyNmRiCqtm

5. Gilpin, L.H., Bau, D., Yuan, B.Z., Bajwa, A., Specter, M., Kagal, L.: Explaining explanations: an approach to evaluating interpretability of machine learning. CoRR abs/1806.00069 (2018). http://arxiv.org/abs/1806.00069

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