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	Author	Title	Year	Publication	Volume	Pages	Links
	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
	Adrien Pavao; Isabelle Guyon; Anne-Catherine Letournel; Dinh-Tuan Tran; Xavier Baro; Hugo Jair Escalante; Sergio Escalera; Tyler Thomas; Zhen Xu	CodaLab Competitions: An Open Source Platform to Organize Scientific Challenges	2023	Journal of Machine Learning Research
	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
	Marco Cotogni; Fei Yang; Claudio Cusano; Andrew Bagdanov; Joost Van de Weijer	Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation	2023	ARXIV
	Lei Kang; Lichao Zhang; Dazhi Jiang	Learning Robust Self-Attention Features for Speech Emotion Recognition with Label-Adaptive Mixup	2023	IEEE International Conference on Acoustics, Speech and Signal Processing

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