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Iuliia Pliushch

A Procedural World Generation Framework for Systematic Evaluation of Continual Learning

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Jun 04, 2021
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When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics

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May 19, 2021
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Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference

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Apr 14, 2021
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A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning

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Sep 11, 2020
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Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers?

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Aug 26, 2019
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Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

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May 28, 2019
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