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Continual Learning with Transformers for Image Classification


Jun 28, 2022
Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cedric Archambeau

* Appeared in CVPR CLVision workshop. arXiv admin note: substantial text overlap with arXiv:2203.04640 

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Memory Efficient Continual Learning for Neural Text Classification


Mar 09, 2022
Beyza Ermis, Giovanni Zappella, Martin Wistuba, Cedric Archambeau


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Dynamic and Efficient Gray-Box Hyperparameter Optimization for Deep Learning


Feb 20, 2022
Martin Wistuba, Arlind Kadra, Josif Grabocka


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HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML


Jun 11, 2021
Sebastian Pineda Arango, Hadi S. Jomaa, Martin Wistuba, Josif Grabocka


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A Comprehensive Survey on Hardware-Aware Neural Architecture Search


Jan 22, 2021
Hadjer Benmeziane, Kaoutar El Maghraoui, Hamza Ouarnoughi, Smail Niar, Martin Wistuba, Naigang Wang

* Submitted to Proceedings of IEEE 

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Few-Shot Bayesian Optimization with Deep Kernel Surrogates


Jan 19, 2021
Martin Wistuba, Josif Grabocka

* Published as a conference paper at ICLR 2021 

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Learning to Rank Learning Curves


Jun 05, 2020
Martin Wistuba, Tejaswini Pedapati

* Accepted at the International Conference on Machine Learning (ICML) 2020 

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How can AI Automate End-to-End Data Science?


Oct 22, 2019
Charu Aggarwal, Djallel Bouneffouf, Horst Samulowitz, Beat Buesser, Thanh Hoang, Udayan Khurana, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander Gray


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XferNAS: Transfer Neural Architecture Search


Jul 18, 2019
Martin Wistuba


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A Survey on Neural Architecture Search


May 04, 2019
Martin Wistuba, Ambrish Rawat, Tejaswini Pedapati


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