Iuliia Pliushch

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Nearest Neighbour

Systematic Evaluation

Facial Action Units

Image Statistics

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Publications

Achref Jaziri, Sina Ditzel, Iuliia Pliushch, Visvanathan Ramesh
Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning. CoRR (2024)
Martin Mundt, Yongwon Hong, Iuliia Pliushch, Visvanathan Ramesh
A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning. Neural Networks 160 (2023)
Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Yong Won Hong, Visvanathan Ramesh
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. J. Imaging 8 (4) (2022)
Iuliia Pliushch, Martin Mundt, Nicolas Lupp, Visvanathan Ramesh
When Deep Classifiers Agree: Analyzing Correlations Between Learning Order and Image Statistics. ECCV (8) (2022)
Timm Hess, Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh
A Procedural World Generation Framework for Systematic Evaluation of Continual Learning. CoRR (2021)
Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh
Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference. CoRR (2021)
Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh
Neural Architecture Search of Deep Priors: Towards Continual Learning Without Catastrophic Interference. CVPR Workshops (2021)
Timm Hess, Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh
A Procedural World Generation Framework for Systematic Evaluation of Continual Learning. NeurIPS Datasets and Benchmarks (2021)
Iuliia Pliushch, Martin Mundt, Nicolas Lupp, Visvanathan Ramesh
When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics. CoRR (2021)
Martin Mundt, Yong Won Hong, Iuliia Pliushch, Visvanathan Ramesh
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning. CoRR (2020)
Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Visvanathan Ramesh
Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? ICCV Workshops (2019)
Martin Mundt, Sagnik Majumder, Iuliia Pliushch, Visvanathan Ramesh
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. CoRR (2019)
Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Visvanathan Ramesh
Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? CoRR (2019)