38 citations · 81 across the 10 of their papers we have counts for
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cs.LG2021★ 1 cited
A Procedural World Generation Framework for Systematic Evaluation of Continual Learning
Timm Hess, Martin Mundt, Iuliia Pliushch +1
Several families of continual learning techniques have been proposed to alleviate catastrophic interference in deep neural network training on non-stationary data. However, a compr…
cs.LG2021
When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics
Iuliia Pliushch, Martin Mundt, Nicolas Lupp +1
Although a plethora of architectural variants for deep classification has been introduced over time, recent works have found empirical evidence towards similarities in their traini…