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	Author	Title	Year	Publication	Volume	Pages	Links
	Adriana Romero	Assisting the training of deep neural networks with applications to computer vision	2015	PhD Thesis, Universitat de Barcelona-CVC
	Adriana Romero; Carlo Gatta	Do We Really Need All These Neurons?	2013	6th Iberian Conference on Pattern Recognition and Image Analysis	7887	460--467
	Adriana Romero; Carlo Gatta; Gustavo Camps-Valls	Unsupervised Deep Feature Extraction for Remote Sensing Image Classification	2016	IEEE Transaction on Geoscience and Remote Sensing	54	1349 - 1362
	Adriana Romero; Carlo Gatta; Gustavo Camps-Valls	Unsupervised Deep Feature Extraction Of Hyperspectral Images	2014	6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing
	Adriana Romero; Nicolas Ballas; Samira Ebrahimi Kahou; Antoine Chassang; Carlo Gatta; Yoshua Bengio	FitNets: Hints for Thin Deep Nets	2015	3rd International Conference on Learning Representations ICLR2015
	Adriana Romero; Petia Radeva; Carlo Gatta	Meta-parameter free unsupervised sparse feature learning	2015	IEEE Transactions on Pattern Analysis and Machine Intelligence	37	1716-1722
	Adriana Romero; Petia Radeva; Carlo Gatta	No more meta-parameter tuning in unsupervised sparse feature learning	2014	Arxiv
	Adriana Romero; Simeon Petkov; Carlo Gatta; M.Sabate; Petia Radeva	Efficient automatic segmentation of vessels	2012	16th Conference on Medical Image Understanding and Analysis
	Adrien Gaidon; Antonio Lopez; Florent Perronnin	The Reasonable Effectiveness of Synthetic Visual Data	2018	International Journal of Computer Vision	126	899–901
	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
	Agata Lapedriza	Multitask Learning Techniques for Automatic Face Classification	2009	PhD Thesis, Universitat Autonoma de Barcelona-CVC
	Agata Lapedriza	Face Classification using External Face Features	2005	CVC Technical Report #83
	Agata Lapedriza; David Masip; David Sanchez	Emotions Classification using Facial Action Units Recognition	2014	17th International Conference of the Catalan Association for Artificial Intelligence	269	55-64
	Agata Lapedriza; David Masip; Jordi Vitria	Subject Recognition Using a New Approach for Feature Extraction	2008	3rd International Conference on Computer Vision Theory and Applications	2	61–66
	Agata Lapedriza; David Masip; Jordi Vitria	On the Use of Independent Tasks for Face Recognition	2008	IEEE Computer Society Conference on Computer Vision and Pattern Recognition		1–6

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