33 citations · 142 across the 20 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.LG2019★ 9 cited
Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise
Henry W. J. Reeve, Ata Kaban
We consider classification in the presence of class-dependent asymmetric label noise with unknown noise probabilities. In this setting, identifiability conditions are known, but ad…
stat.ML2019★ 4 cited
Classification with unknown class-conditional label noise on non-compact feature spaces
Henry W J Reeve, Ata Kaban
We investigate the problem of classification in the presence of unknown class-conditional label noise in which the labels observed by the learner have been corrupted with some unkn…
stat.ML2019★ 14 cited
To Ensemble or Not Ensemble: When does End-To-End Training Fail?
Andrew M. Webb, Charles Reynolds, Wenlin Chen +4
End-to-End training (E2E) is becoming more and more popular to train complex Deep Network architectures. An interesting question is whether this trend will continue-are there any c…