Fetching the paper…
Reading the bibliography…
The training of deep neural network classifiers results in decision boundaries which geometry is still not well understood.
H. B. Mann and D. R. Whitney, “On a test of whether one of two random variables is stochastically larger than the other,” Ann. Math. Statist. , vol. 18, no. 1, pp. 50–60, 03 1947
1947
Earlier work this paper cites.
C. Lee and D. A. Landgrebe, “Feature extraction based on decision boundaries,” IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 15, no. 4, pp. 388–400, Apr 1993
1993
Earlier work this paper cites.
C. Lee and D. A. Landgrebe, “Decision boundary feature extraction for neural networks,” IEEE Transactions on Neural Networks , vol. 8, no. 1, pp. 75–83, Jan 1997
1997
Earlier work this paper cites.
G. Guo, H.-J. Zhang, and S. Z. Li, “Distance-from-boundary as a metric for texture image retrieval,” in IEEE International Conference on Acoustics, Speech, and Signal Processing , vol. 3, 2001, pp. 1629–1632 vol.3
2001
Earlier work this paper cites.
Z. Wang and A. C. Bovik, “A universal image quality index,” IEEE Signal Processing Letters , vol. 9, no. 3, pp. 81–84, March 2002
2002
Earlier work this paper cites.
L. Kuncheva, C. Whitaker, C. Shipp, and R. Duin, “Limits on the majority vote accuracy in classifier fusion,” Pattern Analysis & Applications , vol. 6, no. 1, pp. 22–31, Apr 2003
2003
Earlier work this paper cites.
J. Dick, F. Y. Kuo, and I. H. Sloan, “High-dimensional integration: The quasi-monte carlo way,” Acta Numerica , vol. 22, pp. 133–288, 2013
2013
Cited alongside, same era.
I. J. Goodfellow, J. Shlens, and C. Szegedy, “Explaining and harnessing adversarial examples,” in ICLR , 2015
2015
Cited alongside, same era.
2016
Cited alongside, same era.
2016
Cited alongside, same era.
2017
Later among the works it cites.
“Plotting high-dimensional decision boundaries,” https://github.com/tmadl/highdimensional-decision-boundary-plot, accessed: 2018-07-01
2018
Closest in time.
“zoNNscan: a boundary-entropy metric for zone inspection of neural models,” https://github.com/technicolor-research/zoNNscan, uploaded: 2018-08-16
2018
Closest in time.
“Keras: Deep learning for humans,” https://github.com/keras-team/keras/tree/master/examples, accessed: 2018-01-01
2018
Closest in time.
2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2017
Cited alongside, same era.
K. Pei, Y. Cao, J. Yang, and S. Jana, “Deepxplore: Automated whitebox testing of deep learning systems,” in SOSP , 2017
2017
Cited alongside, same era.
Closest in time.