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Most existing neural architecture search (NAS) benchmarks and algorithms prioritize well-studied tasks, e.g.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams · 1992
Earlier work this paper cites.
Timit acoustic phonetic continuous speech corpus
John S Garofolo · 1993
Earlier work this paper cites.
Benchmarking optimization software with performance profiles
Elizabeth D Dolan and Jorge J Moré · 2002
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The encode (encyclopedia of dna elements) project
ENCODE Project Consortium et al · 2004
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Learning multiple layers of features from tiny images
Alex Krizhevksy · 2009
Earlier work this paper cites.
Building the ninapro database: A resource for the biorobotics community
Manfredo Atzori, Arjan Gijsberts, Simone Heynen, Anne-Gabrielle Mittaz Hager, Olivier Deriaz, Patrick Van Der Smagt, Claudio Castellini, Barbara Caputo, and Henning Müller · 2012
Earlier work this paper cites.
Random search for hyper-parameter optimization
James Bergstra and Yoshua Bengio · 2012
Earlier work this paper cites.
Satellite image time series analysis under time warping
François Petitjean, Jordi Inglada, and Pierre Gançarski · 2012
Earlier work this paper cites.
Predicting effects of noncoding variants with deep learning–based sequence model
Jian Zhou and Olga G Troyanskaya · 2015
Earlier work this paper cites.
Xgboost: A scalable tree boosting system
Tianqi Chen and Carlos Guestrin · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Wide residual networks
Sergey Zagoruyko and Nikos Komodakis · 2016
Earlier work this paper cites.
Af classification from a short single lead ecg recording: The physionet/computing in cardiology challenge 2017
Gari D Clifford, Chengyu Liu, Benjamin Moody, H Lehman Li-wei, Ikaro Silva, Qiao Li, AE Johnson, and Roger G Mark · 2017
Earlier work this paper cites.
Freesound datasets: a platform for the creation of open audio datasets
Eduardo Fonseca, Jordi Pons Puig, Xavier Favory, Frederic Font Corbera, Dmitry Bogdanov, Andres Ferraro, Sergio Oramas, Alastair Porter, and Xavier Serra · 2017
Earlier work this paper cites.
Audio set: An ontology and human-labeled dataset for audio events
Jort F Gemmeke, Daniel PW Ellis, Dylan Freedman, Aren Jansen, Wade Lawrence, R Channing Moore, Manoj Plakal, and Marvin Ritter · 2017
Earlier work this paper cites.
Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
Earlier work this paper cites.
Hyperband: Bandit-based configuration evaluation for hyperparameter optimization
Lisha Li, Kevin G Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, and Ameet Talwalkar · 2017
Earlier work this paper cites.
Spherical CNNs
Taco S. Cohen, Mario Geiger, Jonas Koehler, and Max Welling · 2018
Earlier work this paper cites.
Bohb: Robust and efficient hyperparameter optimization at scale
Stefan Falkner, Aaron Klein, and Frank Hutter · 2018
Earlier work this paper cites.
Hyperband: A novel bandit-based approach to hyperparameter optimization
Liam Li, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, and Ameet Talwalkar · 2018
Earlier work this paper cites.
A system for massively parallel hyperparameter tuning
Liam Li, Kevin Jamieson, Afshin Rostamizadeh, Ekaterina Gonina, Moritz Hardt, Benjamin Recht, and Ameet Talwalkar · 2018
Earlier work this paper cites.
Efficient neural architecture search via parameter sharing
Hieu Pham, Melody Y. Guan, Barret Zoph, Quoc V. Le, and Jeff Dean · 2018
Cited alongside, same era.
Learning transferable architectures for scalable image recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens, and Quoc V. Le · 2018
Cited alongside, same era.
ProxylessNAS: Direct neural architecture search on target task and hardware
Han Cai, Ligeng Zhu, and Song Han · 2019
Cited alongside, same era.
Deep learning for electromyographic hand gesture signal classification using transfer learning
Ulysse Côté-Allard, Cheikh Latyr Fall, Alexandre Drouin, Alexandre Campeau-Lecours, Clément Gosselin, Kyrre Glette, François Laviolette, and Benoit Gosselin · 2019
Cited alongside, same era.
One-shot neural architecture search via self-evaluated template network
Xuanyi Dong and Yezhou Yang · 2019
Cited alongside, same era.
NAS-Bench-NLP: Neural architecture search benchmark for natural language processing
Nikita Klyuchnikov, Ilya Trofimov, Ekaterina Artemova, Mikhail Salnikov, Maxim Fedorov, and Evgeny Burnaev · 2020
Later among the works it cites.
AutoML-Zero: Evolving machine learning algorithms from scratch
Esteban Real, Chen Liang, David R. So, and Quoc V. Le · 2020
Later among the works it cites.
Meta-dataset: A dataset of datasets for learning to learn from few examples
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, and Hugo Larochelle · 2020
Later among the works it cites.
PC-DARTS: Partial channel connections for memory-efficient architecture search
Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Qi Tian, and Hongkai Xiong · 2020
Later among the works it cites.
NAS-Bench-1Shot1: Benchmarking and dissecting one-shot neural architecture search
Arber Zela, Julien Siems, and Frank Hutter · 2020
Later among the works it cites.
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Searching for a robust neural architecture in four GPU hours
Xuanyi Dong and Yi Yang · 2019
Cited alongside, same era.
Neural architecture search: A survey
Thomas Elsken, Jan Hendrik Metzen, and Frank Hutter · 2019
Cited alongside, same era.
Random search and reproducibility for neural architecture search
Liam Li and Ameet Talwalkar · 2019
Cited alongside, same era.
Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation
Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L Yuille, and Li Fei-Fei · 2019
Cited alongside, same era.
DARTS: Differentiable architecture search
Hanxiao Liu, Karen Simonyan, and Yiming Yang · 2019
Cited alongside, same era.
Regularized evolution for image classifier architecture search
Esteban Real, Alok Aggarwal, Yanping Huang, and Quoc V. Le · 2019
Cited alongside, same era.
NAS-Bench-101: Towards reproducible neural architecture search
Chris Ying, Aaron Klein, Eric Christiansen, Esteban Real, Kevin Murphy, and Frank Hutter · 2019
Cited alongside, same era.
deepcr: Cosmic ray rejection with deep learning
Keming Zhang and Joshua S Bloom · 2020
Later among the works it cites.
Zero-cost proxies for lightweight NAS
Mohamed S. Abdelfattah, Abhinav Mehrotra, Lukasz Dudziak, and Nicholas D. Lane · 2021
Closest in time.
Neural architecture search on imagenet in four {gpu} hours: A theoretically inspired perspective
Wuyang Chen, Xinyu Gong, and Zhangyang Wang · 2021
Closest in time.
TransNAS-Bench-101: Improving transferability and generalizability of cross-task neural architecture search
Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, and Zhenguo Li · 2021
Closest in time.
Transnas-bench-101: Improving transferability and generalizability of cross-task neural architecture search
Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Li Xiaodan, Tong Zhang, and Zhenguo Li · 2021
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Geometry-aware gradient algorithms for neural architecture search
Liam Li, Mikhail Khodak, Maria-Florina Balcan, and Ameet Talwalkar · 2021
Closest in time.
Fourier neural operator for parametric partial differential equations
Zongyi Li, Nikola Borislavov Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew Stuart, and Anima Anandkumar · 2021
Closest in time.
NAS-Bench-ASR: Reproducible neural architecture search for speech recognition
Abhinav Mehrotra, Alberto Gil, C. P. Ramos, Sourav Bhattacharya, Łukasz Dudziak, Ravichander Vipperla, Thomas Chau, Samin Ishtiaq, Mohamed S. Abdelfattah, and Nicholas D. Lane · 2021
Closest in time.
Neural architecture search without training
Joseph Mellor, Jack Turner, Amos Storkey, and Elliot J. Crowley · 2021
Closest in time.
Rethinking neural operations for diverse tasks
Nicholas Roberts, Mikhail Khodak, Tri Dao, Liam Li, Chris Ré, and Ameet Talwalkar · 2021
Closest in time.
BANANAS: Bayesian optimization with neural architectures for neural architecture search
Colin White, Willie Neiswanger, and Yash Savani · 2021
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Ambient: accelerated convolutional neural network architecture search for regulatory genomics
Zijun Zhang, Evan M Cofer, and Olga G Troyanskaya · 2021
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An automated framework for efficiently designing deep convolutional neural networks in genomics
Zijun Zhang, Christopher Y Park, Chandra L Theesfeld, and Olga G Troyanskaya · 2021
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Perceiver IO: A general architecture for structured inputs & outputs
Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J Henaff, Matthew Botvinick, Andrew Zisserman, Oriol Vinyals, and Joao Carreira · 2022
Closest in time.
On redundancy and diversity in cell-based neural architecture search
Xingchen Wan, Binxin Ru, Pedro M Esperança, and Zhenguo Li · 2022
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A deeper look at zero-cost proxies for lightweight nas
Colin White, Mikhail Khodak, Renbo Tu, Shital Shah, Sébastien Bubeck, and Debadeepta Dey · 2022
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