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Bridging the Gap: Unifying the Training and Evaluation of Neural Network
  Binary Classifiers
v1v2v3 (latest)

Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers

2 September 2020
Deyuan Li
Kate Candon
Taesoo Daniel Lee
Yofti Milkessa
Nathan Tsoi
    AAML
ArXiv (abs)PDFHTML

Papers citing "Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers"

4 / 4 papers shown
Title
AP-Perf: Incorporating Generic Performance Metrics in Differentiable
  Learning
AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning
Rizal Fathony
J. Zico Kolter
FedML
36
15
0
02 Dec 2019
Generalized Intersection over Union: A Metric and A Loss for Bounding
  Box Regression
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
S. Hamid Rezatofighi
Deyuan Li
JunYoung Gwak
Amir Sadeghian
Ian Reid
Silvio Savarese
150
4,164
0
25 Feb 2019
Generalised Dice overlap as a deep learning loss function for highly
  unbalanced segmentations
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
Carole H Sudre
Wenqi Li
Tom Vercauteren
Sébastien Ourselin
M. Jorge Cardoso
SSeg
122
2,146
0
11 Jul 2017
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
453
7,663
0
03 Jul 2012
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