Iuliia Pliushch | DeepAI

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Featured Co-authors

Martin Mundt
14 publications
Sagnik Majumder
11 publications
Visvanathan Ramesh
10 publications
Timm Hess
2 publications
Nicolas Lupp
1 publication
Yong Won Hong
1 publication

∙ 06/04/2021

A Procedural World Generation Framework for Systematic Evaluation of Continual Learning

Several families of continual learning techniques have been proposed to ...

0 Timm Hess, et al. ∙

∙ 05/19/2021

When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics

Although a plethora of architectural variants for deep classification ha...

16 Iuliia Pliushch, et al. ∙

∙ 04/14/2021

Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference

In this paper we analyze the classification performance of neural networ...

0 Martin Mundt, et al. ∙

∙ 09/03/2020

A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning

Current deep learning research is dominated by benchmark evaluation. A m...

30 Martin Mundt, et al. ∙

∙ 08/26/2019

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers?

We present an analysis of predictive uncertainty based out-of-distributi...

0 Martin Mundt, et al. ∙

∙ 05/28/2019

Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

We introduce a unified probabilistic approach for deep continual learnin...

0 Martin Mundt, et al. ∙

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