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Extrapolating Expected Accuracies for Large Multi-Class Problems

Extrapolating Expected Accuracies for Large Multi-Class Problems

Journal of machine learning research (JMLR), 2017
27 December 2017
Charles Yang Zheng
Rakesh Achanta
Y. Benjamini
ArXiv (abs)PDFHTML

Papers citing "Extrapolating Expected Accuracies for Large Multi-Class Problems"

2 / 2 papers shown
Class Distribution Shifts in Zero-Shot Learning: Learning Robust
  Representations
Class Distribution Shifts in Zero-Shot Learning: Learning Robust RepresentationsNeural Information Processing Systems (NeurIPS), 2023
Y. Slavutsky
Y. Benjamini
VLMOOD
347
4
0
30 Nov 2023
Predicting Classification Accuracy When Adding New Unobserved Classes
Predicting Classification Accuracy When Adding New Unobserved ClassesInternational Conference on Learning Representations (ICLR), 2020
Y. Slavutsky
Y. Benjamini
206
2
0
28 Oct 2020
1