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2020

  • Liu, Zhengying and Pavao, Adrien and Xu, Zhen and Escalera, Sergio and Ferreira, Fabio and Guyon, Isabelle and Hong, Sirui and Hutter, Frank and Ji, Rongrong and Jacques Junior, Julio C S and Li, Ge and Lindauer, Marius and Luo, Zhipeng and Madadi, Meysam and Nierhoff, Thomas and Niu, Kangning and Pan, Chunguang and Stoll, Danny and Treguer, Sebastien and Wang, Jin and Wang, Peng and Wu, Chenglin and Xiong, Youcheng and Zela, Arber and Zhang, Yang (arXiv)(pdf)(bib)
    Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019
    In: hal-02957135 (2020)
  • Lukasik, Jovita and Friede, David and Zela, Arber and Stuckenschmidt, Heiner and Hutter, Frank and Keuper, Margret (arXiv)(pdf)(bib)
    Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
    In: arXiv:2010.04683 [cs.LG] (2020)
  • Siems, Julien and Zimmer, Lucas and Zela, Arber and Lukasik, Jovita and Keuper, Margret and Hutter, Frank (arXiv)(pdf)(bib)
    NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search
    In: arXiv:2008.09777 [cs.LG] (2020)
  • Zaidi, Sheheryar and Zela, Arber and Elsken, Thomas and Holmes, Chris and Hutter, Frank and Teh, Yee Whye (arXiv)(pdf)(slides)(bib)
    Neural Ensemble Search for Performant and Calibrated Predictions
    In: Workshop on Uncertainty and Robustness in Deep Learning (UDL@ICML`20) (2020)
    Oral Presentation (Video presentation)(Code)
  • Zela, Arber and Elsken, Thomas and Saikia, Tonmoy and Marrakchi, Yassine and Brox, Thomas and Hutter, Frank (arXiv)(published)(pdf)(slides)(bib)
    Understanding and Robustifying Differentiable Architecture Search
    In: International Conference on Learning Representations
    Oral Presentation (Top 7%)
  • Zela, Arber and Siems, Julien and Hutter, Frank (arXiv)(published)(pdf)(slides)(bib)
    NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search
    In: International Conference on Learning Representations

2019

  • Saikia, T. and Marrakchi, Y. and Zela, A. and Hutter, F. and Brox, T. (arXiv)(published)(pdf)(bib)
    AutoDispNet: Improving Disparity Estimation With AutoML
    In: IEEE International Conference on Computer Vision (ICCV)

2018

  • Zela, Arber and Klein, Aaron and Falkner, Stefan and Hutter, Frank (pdf)(poster)(bib)
    Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search
    In: ICML 2018 AutoML Workshop