Interactive Classification for Deep Learning Interpretation

Telea, A.: An image inpainting technique based on the fast marching method. Journal of graphics tools (2004)

2004

Earlier work this paper cites.

Barnes, C., Shechtman, E., Finkelstein, A., Goldman, D.B.: Patchmatch: A randomized correspondence algorithm for structural image editing. ACM Transactions on Graphics-TOG (2009)

2009

Earlier work this paper cites.

Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., Süsstrunk, S.: Slic superpixels compared to state-of-the-art superpixel methods. IEEE transactions on pattern analysis and machine intelligence 34

2012

Earlier work this paper cites.

Zeiler, M.D., Fergus, R.: Visualizing and understanding convolutional networks. In: European conference on computer vision. pp. 818–833. Springer (2014)

2014

Earlier work this paper cites.

Iandola, F.N., Han, S., Moskewicz, M.W., Ashraf, K., Dally, W.J., Keutzer, K.: SqueezeNet: Alexnet-level accuracy with 50x fewer parameters and < < 0.5 mb model size. arXiv:1602.07360 (2016)

Original

2016

Cited alongside, same era.

Ribeiro, M.T., Singh, S., Guestrin, C.: Why should i trust you?: Explaining the predictions of any classifier. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. pp. 1135–1144. ACM (2016)

2016

Cited alongside, same era.

Zhou, B., Khosla, A., A., L., Oliva, A., Torralba, A.: Learning Deep Features for Discriminative Localization. Conference on Computer Vision and Pattern Recognition (CVPR) (2016)

Original

2016

Cited alongside, same era.

Hohman, F., Hodas, N., Chau, D.H.: ShapeShop: Towards Understanding Deep Learning Representations via Interactive Experimentation. In: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM (2017)

2017

Cited alongside, same era.

Howard, A.G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Andreetto, M., Adam, H.: Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv:1704.04861 (2017)

Original

2017

Later among the works it cites.

Hohman, F., Kahng, M., Pienta, R., Chau, D.H.: Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers. IEEE Transactions on Visualization and Computer Graphics (TVCG) (2018)

2018

Closest in time.

Weld, D.S., Bansal, G.: Intelligible Artificial Intelligence. arXiv:1803.04263 (2018)

Original

2018

Closest in time.