Iuliia Pliushch

According to our database1, Iuliia Pliushch authored at least 9 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning.
CoRR, 2024

2023
A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning.
Neural Networks, March, 2023

2022
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition.
J. Imaging, 2022

When Deep Classifiers Agree: Analyzing Correlations Between Learning Order and Image Statistics.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
A Procedural World Generation Framework for Systematic Evaluation of Continual Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Neural Architecture Search of Deep Priors: Towards Continual Learning Without Catastrophic Interference.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning.
CoRR, 2020

2019
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition.
CoRR, 2019

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers?
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


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