Iuliia Pliushch

16 papers Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`—`	Towards systematic design of transparent deep learning models. Iuliia Pliushch
2025	J	`jnl`	Uncertainty-Aware Decomposed Hybrid Networks. CoRR Sina Ditzel, Achref Jaziri, Iuliia Pliushch, Visvanathan Ramesh
2024	—	`conf`	Representation Learning in a Decomposed Encoder Design for Bio-Inspired Hebbian Learning. ECCV Workshops (14) Achref Jaziri, Sina Ditzel, Iuliia Pliushch, Visvanathan Ramesh
2024	J	`jnl`	Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning. CoRR Achref Jaziri, Sina Ditzel, Iuliia Pliushch, Visvanathan Ramesh
2023	J	`jnl`	A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning. Neural Networks Martin Mundt, Yongwon Hong, Iuliia Pliushch, Visvanathan Ramesh
2022	J	`jnl`	Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. J. Imaging Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Yong Won Hong, Visvanathan Ramesh
2022	—	`conf`	When Deep Classifiers Agree: Analyzing Correlations Between Learning Order and Image Statistics. ECCV (8) Iuliia Pliushch, Martin Mundt, Nicolas Lupp, Visvanathan Ramesh
2021	—	`conf`	A Procedural World Generation Framework for Systematic Evaluation of Continual Learning. NeurIPS Datasets and Benchmarks Timm Hess, Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh
2021	J	`jnl`	A Procedural World Generation Framework for Systematic Evaluation of Continual Learning. CoRR Timm Hess, Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh
2021	—	`conf`	Neural Architecture Search of Deep Priors: Towards Continual Learning Without Catastrophic Interference. CVPR Workshops Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh
2021	J	`jnl`	Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference. CoRR Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh
2021	J	`jnl`	When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics. CoRR Iuliia Pliushch, Martin Mundt, Nicolas Lupp, Visvanathan Ramesh
2020	J	`jnl`	A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning. CoRR Martin Mundt, Yong Won Hong, Iuliia Pliushch, Visvanathan Ramesh
2019	—	`conf`	Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? ICCV Workshops Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Visvanathan Ramesh
2019	J	`jnl`	Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? CoRR Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Visvanathan Ramesh
2019	J	`jnl`	Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. CoRR Martin Mundt, Sagnik Majumder, Iuliia Pliushch, Visvanathan Ramesh