Arber Zela

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Frank HutterELLIS Institute Tübingen & Professor, University of Freiburg, GermanyDirección de correo verificada de cs.uni-freiburg.de
Thomas ElskenRecogniDirección de correo verificada de recogni.com
Julien SiemsUniversity of FreiburgDirección de correo verificada de cs.uni-freiburg.de
Thomas BroxUniversity of FreiburgDirección de correo verificada de cs.uni-freiburg.de
Tonmoy SaikiaTorc RoboticsDirección de correo verificada de torc.ai
Colin WhiteMetaDirección de correo verificada de cs.cmu.edu
Yassine MarrakchiUniversity of FreiburgDirección de correo verificada de cs.uni-freiburg.de
Margret KeuperUniversity of MannheimDirección de correo verificada de uni-mannheim.de
Jovita LukasikUniversity of SiegenDirección de correo verificada de uni-siegen.de
Lucas ZimmerUniversity of ZurichDirección de correo verificada de uzh.ch
Mahmoud SafariPostdoctoral research fellow, University of Freiburg, GermanyDirección de correo verificada de informatik.uni-freiburg.de
Binxin RuDPhil Student, University of OxfordDirección de correo verificada de robots.ox.ac.uk
Aaron KleinScaDS.AIDirección de correo verificada de amazon.com
Rhea Sanjay SukthankerGraduate StudentDirección de correo verificada de cs.uni-freiburg.de
Josif GrabockaProfessor of Machine LearningDirección de correo verificada de utn.de
Benedikt StafflerBosch Center for Artificial IntelligenceDirección de correo verificada de de.bosch.com
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindDirección de correo verificada de stats.ox.ac.uk
Chris HolmesDirección de correo verificada de stats.ox.ac.uk
Sheheryar ZaidiResearch Scientist, Google DeepMindDirección de correo verificada de stats.ox.ac.uk
Stefan FalknerBosch Corporate ResearchDirección de correo verificada de de.bosch.com

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Arber Zela

PhD student, University of Freiburg

Dirección de correo verificada de cs.uni-freiburg.de - Página principal

Neural Architecture Search AutoML Deep learning Bayesian Optimization Computer Vision


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Understanding and Robustifying Differentiable Architecture Search A Zela, T Elsken, T Saikia, Y Marrakchi, T Brox, F Hutter International Conference on Learning Representations (ICLR) (Oral), 2020	437	2020
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks A Zela, JN Siems, L Zimmer*, J Lukasik, M Keuper, F Hutter International Conference on Learning Representations (ICLR), 2021	263*	2021
Towards automated deep learning: Efficient joint neural architecture and hyperparameter search A Zela, A Klein, S Falkner, F Hutter International Conference on Machine Learning (ICML) 2018, AutoML Workshop, 2018	242	2018
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search A Zela, J Siems, F Hutter International Conference on Learning Representations (ICLR), 2020	194	2020
How Powerful are Performance Predictors in Neural Architecture Search? C White, A Zela, B Ru, Y Liu, F Hutter Advances in Neural Information Processing Systems 35, 2021	144	2021
Neural architecture search: Insights from 1000 papers C White, M Safari, R Sukthanker, B Ru, T Elsken, A Zela, D Dey, F Hutter arXiv preprint arXiv:2301.08727, 2023	127	2023
Neural ensemble search for uncertainty estimation and dataset shift S Zaidi, A Zela, T Elsken, CC Holmes, F Hutter, Y Teh Advances in Neural Information Processing Systems 35, 2021	122*	2021
Autodispnet: Improving disparity estimation with automl T Saikia, Y Marrakchi, A Zela, F Hutter, T Brox Proceedings of the ieee/cvf international conference on computer vision …, 2019	93	2019
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy Y Mehta, C White, A Zela, A Krishnakumar, G Zabergja, S Moradian, ... International Conference on Learning Representations (ICLR), 2022	56	2022
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies A Krishnakumar, C White, A Zela*, R Tu, M Safari, F Hutter Advances in Neural Information Processing Systems 36, Datasets and …, 2022	45	2022
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, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (9), 3108-3125, 2021	34	2021
JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search A Bansal, D Stoll, M Janowski, A Zela, F Hutter Advances in Neural Information Processing Systems 36, Datasets and …, 2022	24	2022
NASLib: A Modular and Flexible Neural Architecture Search Library M Ruchte, A Zela, J Siems, J Grabocka, F Hutter	24	2020
Smooth variational graph embeddings for efficient neural architecture search J Lukasik, D Friede, A Zela, H Stuckenschmidt, F Hutter, M Keuper International Joint Conference on Neural Networks (IJCNN), 2021, 2020	22	2020
Neural architecture search for dense prediction tasks in computer vision R Mohan, T Elsken, A Zela, JH Metzen, B Staffler, T Brox, A Valada, ... International Journal of Computer Vision 131 (7), 1784-1807, 2023	19*	2023
Multi-headed Neural Ensemble Search AR Narayanan, A Zela, T Saikia, T Brox, F Hutter Workshop on Uncertainty and Robustness in Deep Learning @ICML 2021, 2021	8	2021
Bag of Tricks for Neural Architecture Search T Elsken, B Staffler, A Zela, JH Metzen, F Hutter CVPR Workshop on Neural Architecture Search: 1st Lightweight NAS Challenge …, 2021	7	2021
Multi-objective Differentiable Neural Architecture Search RS Sukthanker, A Zela, B Staffler, S Dooley, J Grabocka, F Hutter arXiv preprint arXiv:2402.18213, 2024	4	2024
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models RS Sukthanker, A Zela, B Staffler, A Klein, L Purucker, JKH Franke, ... arXiv preprint arXiv:2405.10299, 2024	2	2024
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues R Grazzi, J Siems, JKH Franke, A Zela, F Hutter, M Pontil arXiv preprint arXiv:2411.12537, 2024	1	2024

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