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User Loss -- A Forced-Choice-Inspired Approach to Train Neural Networks
  directly by User Interaction
v1v2 (latest)

User Loss -- A Forced-Choice-Inspired Approach to Train Neural Networks directly by User Interaction

24 July 2018
Shahab Zarei
Bernhard Stimpel
Christopher Syben
Andreas Maier
    OOD
ArXiv (abs)PDFHTML

Papers citing "User Loss -- A Forced-Choice-Inspired Approach to Train Neural Networks directly by User Interaction"

1 / 1 papers shown
Learning with Known Operators reduces Maximum Training Error Bounds
Learning with Known Operators reduces Maximum Training Error BoundsNature Machine Intelligence (NMI), 2019
Andreas Maier
Christopher Syben
Bernhard Stimpel
Tobias Würfl
M. Hoffmann
Frank Schebesch
Weilin Fu
L. Mill
L. Kling
S. Christiansen
199
110
0
03 Jul 2019
1
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