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	Author	Title	Year	Publication	Volume	Pages	Links
	Chenshen Wu	Going beyond Classification Problems for the Continual Learning of Deep Neural Networks	2023	PhD Thesis, Universitat Autonoma de Barcelona-CVC
	Jose Luis Gomez	Synth-to-real semi-supervised learning for visual tasks	2023	Going beyond Classification Problems for the Continual Learning of Deep Neural Networks
	Jose Elias Yauri	Deep Learning Based Data Fusion Approaches for the Assessment of Cognitive States on EEG Signals	2023	PhD Thesis, Universitat Autonoma de Barcelona-CVC
	Shiqi Yang	Towards Source-Free Domain Adaption of Neural Networks in an Open World	2023	PhD Thesis, Universitat Autonoma de Barcelona-CVC
	Yi Xiao	Advancing Vision-based End-to-End Autonomous Driving	2023	PhD Thesis, Universitat Autonoma de Barcelona-CVC
	Diego Velazquez	Towards Robustness in Computer-based Image Understanding	2023	PhD Thesis, Universitat Autonoma de Barcelona-CVC
	Bonifaz Stuhr	Towards Unsupervised Representation Learning: Learning, Evaluating and Transferring Visual Representations	2023	PhD Thesis, Universitat Autonoma de Barcelona-CVC
	Ruben Perez Tito	Exploring the role of Text in Visual Question Answering on Natural Scenes and Documents	2023	PhD Thesis, Universitat Autonoma de Barcelona-CVC
	Artur Xarles; Sergio Escalera; Thomas B. Moeslund; Albert Clapes	ASTRA: An Action Spotting TRAnsformer for Soccer Videos	2023	Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports		93–102
	Marcin Przewiezlikowski; Mateusz Pyla; Bartosz Zielinski; Bartłomiej Twardowski; Jacek Tabor; Marek Smieja	Augmentation-aware Self-supervised Learning with Guided Projector	2023	arxiv
	Mateusz Pyla; Kamil Deja; Bartłomiej Twardowski; Tomasz Trzcinski	Bayesian Flow Networks in Continual Learning	2023	arxiv
	Eduardo Aguilar; Bogdan Raducanu; Petia Radeva; Joost Van de Weijer	Continual Evidential Deep Learning for Out-of-Distribution Detection	2023	Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops		3444-3454
	Ruben Ballester; Carles Casacuberta; Sergio Escalera	Decorrelating neurons using persistence	2023	ARXIV
	Chuanming Tang; Kai Wang; Joost van de Weijer; Jianlin Zhang; Yongmei Huang	Exploiting Image-Related Inductive Biases in Single-Branch Visual Tracking	2023	Arxiv
	Francesco Fabbri; Xianghang Liu; Jack R. McKenzie; Bartlomiej Twardowski; Tri Kurniawan Wijaya	FedFNN: Faster Training Convergence Through Update Predictions in Federated Recommender Systems	2023	ARXIV

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