Arber Zela

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	All	Since 2016
Citations	192	190
h-index	5	5
i10-index	4	4

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20182019202020211 22 160 6

Co-authors

Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Julien SiemsAlbert Ludwig University FreiburgVerified email at jupiter.uni-freiburg.de
Thomas BroxProfessor at the University of Freiburg and Amazon ScholarVerified email at cs.uni-freiburg.de
Tonmoy SaikiaUniversity of FreiburgVerified email at cs.uni-freiburg.de
Thomas ElskenUniversity of FreiburgVerified email at cs.uni-freiburg.de
Stefan FalknerBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Aaron KleinAmazon Research BerlinVerified email at cs.uni-freiburg.de
Margret KeuperUniversity of MannheimVerified email at cs.uni-freiburg.de
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk
Chris HolmesVerified email at stats.ox.ac.uk
Sheheryar ZaidiPhD student, University of OxfordVerified email at stats.ox.ac.uk
Lucas ZimmerAlbert-Ludwig Universität FreiburgVerified email at informatik.uni-freiburg.de
Isabelle GuyonUniversité Paris-Saclay / INRIA / ChaLearnVerified email at chalearn.org
Marius LindauerLeibniz University Hannover (Germany)Verified email at tnt.uni-hannover.de
Zhengying LiuPhD student at Université Paris-Sud / InriaVerified email at inria.fr

Arber Zela

PhD student, University of Freiburg

Verified email at cs.uni-freiburg.de

Deep learning AutoML Bayesian Optimization Neural Architecture Search Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Understanding and Robustifying Differentiable Architecture Search A Zela, T Elsken, T Saikia, Y Marrakchi, T Brox, F Hutter In: International Conference on Learning Representations (ICLR), 2020	66	2020
Towards automated deep learning: Efficient joint neural architecture and hyperparameter search A Zela, A Klein, S Falkner, F Hutter AutoML Workshop, ICML 2018, 2018	63	2018
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search A Zela, J Siems, F Hutter In: International Conference on Learning Representations (ICLR), 2020	31	2020
Autodispnet: Improving disparity estimation with automl T Saikia, Y Marrakchi, A Zela, F Hutter, T Brox Proceedings of the IEEE International Conference on Computer Vision, 1812-1823, 2019	18	2019
Neural Ensemble Search for Performant and Calibrated Predictions S Zaidi, A Zela, T Elsken, C Holmes, F Hutter, YW Teh arXiv preprint arXiv:2006.08573, 2020	9	2020
NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search J Siems, L Zimmer, A Zela, J Lukasik, M Keuper, F Hutter arXiv preprint arXiv:2008.09777, 2020	3	2020
Smooth variational graph embeddings for efficient neural architecture search J Lukasik, D Friede, A Zela, H Stuckenschmidt, F Hutter, M Keuper arXiv preprint arXiv:2010.04683, 2020	1	2020
NASLib: A Modular and Flexible Neural Architecture Search Library M Ruchte, A Zela, J Siems, J Grabocka, F Hutter	1
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019 Z Liu, A Pavao, Z Xu, S Escalera, F Ferreira, I Guyon, S Hong, F Hutter, ...		2020
Towards Benchmarking and Dissecting One-shot Neural Architecture Search J Siems, A Zela, F Hutter Cell 1, 1, 0

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