Open Access Helper

OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS
Shi Han, Renjie Pi, Hang Xu, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 49

Showing 26-50 of 49 citing articles:

IGWO-SS: Improved Grey Wolf Optimization Based on Synaptic Saliency for Fast Neural Architecture Search in Computer Vision
Shifat E. Arman, Shamim Ahmed Deowan
IEEE Access (2022) Vol. 10, pp. 67851-67869
Open Access | Times Cited: 7
Neural Architecture Search via Proxy Validation
Yanxi Li, Minjing Dong, Yunhe Wang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 6, pp. 7595-7610
Closed Access | Times Cited: 6
Not All Operations Contribute Equally: Hierarchical Operation-adaptive Predictor for Neural Architecture Search
Ziye Chen, Yibing Zhan, Baosheng Yu, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021) Vol. 35, pp. 10488-10497
Closed Access | Times Cited: 8
Reconsidering CO2 emissions from Computer Vision
Andre Fu, Mahdi S. Hosseini, Konstantinos N. Plataniotis
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2021), pp. 2311-2317
Open Access | Times Cited: 7
Approximate Neural Architecture Search via Operation Distribution Learning
Xingchen Wan, Binxin Ru, Pedro M. Esparanca, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2022), pp. 3545-3554
Open Access | Times Cited: 5
How predictors affect the RL-based search strategy in Neural Architecture Search?
Jia Wu, TianJin Deng, Qi Hu
Expert Systems with Applications (2023) Vol. 238, pp. 121742-121742
Closed Access | Times Cited: 2
FNAS: Uncertainty-Aware Fast Neural Architecture Search
Jihao Liu, Ming Zhang, Yangting Sun, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 5
A Study on Encodings for Neural Architecture Search
Colin White, Willie Neiswanger, Sam Nolen, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 4
Heed the noise in performance evaluations in neural architecture search
Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 2104-2112
Open Access | Times Cited: 3
Optimizing the Neural Architecture of Reinforcement Learning Agents
N. Mazyavkina, Sayed S. R. Moustafa, Ilya Trofimov, et al.
Lecture notes in networks and systems (2021), pp. 591-606
Closed Access | Times Cited: 4
FlowerFormer: Empowering Neural Architecture Encoding Using a Flow-Aware Graph Transformer
D. Hwang, Hyunju Kim, Sunwoo Kim, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 6128-6137
Closed Access
Rethinking Cell-Based Neural Architecture Search: a Theoretical Perspective
Bo Liu, Huiwen Zhao, Tongtong Yuan, et al.
(2024)
Closed Access
Efficient multiplayer battle game optimizer for numerical optimization and adversarial robust neural architecture search
Rui Zhong, Yuefeng Xu, Chao Zhang, et al.
Alexandria Engineering Journal (2024) Vol. 113, pp. 150-168
Closed Access
GQNAS: Graph Q Network for Neural Architecture Search
Yijian Qin, Xin Wang, Peng Cui, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2021), pp. 1288-1293
Closed Access | Times Cited: 3
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles
Jun Yuan, Mengchen Liu, Fengyuan Tian, et al.
IEEE Transactions on Visualization and Computer Graphics (2022), pp. 1-11
Open Access | Times Cited: 2
MTLP-JR: Multi-task learning-based prediction for joint ranking in neural architecture search
Bo Lyu, Longfei Lu, Maher Hamdi, et al.
Computers & Electrical Engineering (2022) Vol. 105, pp. 108474-108474
Closed Access | Times Cited: 2
Scaling Up Deep Neural Network Optimization for Edge Inference
Bingqian Lu, Jianyi Yang, Shaolei Ren
arXiv (Cornell University) (2020)
Open Access | Times Cited: 1
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
Jovita Lukasik, David Friede, Arber Zela, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 1
Inter-choice dependent super-network weights.
Kevin Alexander Laube, Andreas Zell
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1
Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS “Cold-Start”
Junbo Zhao, Xuefei Ning, Enshu Liu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 9, pp. 11316-11326
Open Access
Neural Architecture Search for Genomic Sequence Data
Amadeu Scheppach, Hüseyin Anil Gündüz, Emilio Dorigatti, et al.
(2023), pp. 1-10
Open Access
Topology-aware efficient and transferable model compression using graph representation and reinforcement learning
Sixing Yu
(2023)
Open Access
FGA-NAS: Fast Resource-Constrained Architecture Search by Greedy-ADMM Algorithm
Yifei Chen, Junge Zhang, Qiaozhe Li, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 01-08
Closed Access
Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation
Lewei Yao, Renjie Pi, Hang Xu, et al.
arXiv (Cornell University) (2021)
Open Access
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