Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Neural Predictor for Neural Architecture Search.

W. Wen, H. Liu, Y. Chen, H. Li, G. Bender, and P. Kindermans. ECCV (29), volume 12374 of Lecture Notes in Computer Science, page 660-676. Springer, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Pieter Jan Ouwehand

Jan Pieter Jamaer

Jan Pieter Krahnen

Jan-Pieter Naujok

Pieter-Jan Kaas

Other publications of authors with the same name

Backprop Evolution.M. Alber, I. Bello, B. Zoph, P. Kindermans, P. Ramachandran, and Q. Le. CoRR, (2018)The (Un)reliability of saliency methods.P. Kindermans, S. Hooker, J. Adebayo, M. Alber, K. Schütt, S. Dähne, D. Erhan, and B. Kim. CoRR, (2017)Learning how to explain neural networks: PatternNet and PatternAttribution.P. Kindermans, K. Schütt, M. Alber, K. Müller, D. Erhan, B. Kim, and S. Dähne. ICLR (Poster), OpenReview.net, (2018)Dynamic Stopping Improves the Speed and Accuracy of a P300 Speller.H. Verschore, P. Kindermans, D. Verstraeten, and B. Schrauwen. ICANN (1), volume 7552 of Lecture Notes in Computer Science, page 661-668. Springer, (2012)A Benchmark for Interpretability Methods in Deep Neural Networks.S. Hooker, D. Erhan, P. Kindermans, and B. Kim. NeurIPS, page 9734-9745. (2019)Don't decay the learning rate, increase the batch sizeS. Smith, P. Kindermans, C. Ying, and Q. Le. arXiv preprint arXiv:1711.00489, (2017)Neural Predictor for Neural Architecture Search.W. Wen, H. Liu, H. Li, Y. Chen, G. Bender, and P. Kindermans. CoRR, (2019)The (Un)reliability of Saliency Methods.P. Kindermans, S. Hooker, J. Adebayo, M. Alber, K. Schütt, S. Dähne, D. Erhan, and B. Kim. Explainable AI, volume 11700 of Lecture Notes in Computer Science, Springer, (2019)Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS.G. Bender, H. Liu, B. Chen, G. Chu, S. Cheng, P. Kindermans, and Q. Le. CVPR, page 14311-14320. Computer Vision Foundation / IEEE, (2020)Discovering Multi-Hardware Mobile Models via Architecture Search.G. Chu, O. Arikan, G. Bender, W. Wang, A. Brighton, P. Kindermans, H. Liu, B. Akin, S. Gupta, and A. Howard. CVPR Workshops, page 3022-3031. Computer Vision Foundation / IEEE, (2021)

BibSonomy

Disambiguation of "Kindermans, Pieter-Jan"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Neural Predictor for Neural Architecture Search.

Please choose a person to relate this publication to

Pieter Jan Ouwehand

Jan Pieter Jamaer

Jan Pieter Krahnen

Jan-Pieter Naujok

Pieter-Jan Kaas

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kindermans, Pieter-Jan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Neural Predictor for Neural Architecture Search.

Please choose a person to relate this publication to

Pieter Jan Ouwehand

Jan Pieter Jamaer

Jan Pieter Krahnen

Jan-Pieter Naujok

Pieter-Jan Kaas

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Neural Predictor for Neural Architecture Search.