Darts-: robustly stepping out of performance collapse without indicators X Chu, X Wang, B Zhang, S Lu, X Wei, J Yan arXiv preprint arXiv:2009.01027, 2020 | 171 | 2020 |
Mergenas: Merge operations into one for differentiable architecture search X Wang, C Xue, J Yan, X Yang, Y Hu, K Sun Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 44 | 2021 |
Zarts: On zero-order optimization for neural architecture search X Wang, W Guo, J Su, X Yang, J Yan Advances in Neural Information Processing Systems 35, 12868-12880, 2022 | 27 | 2022 |
Rethinking bi-level optimization in neural architecture search: A gibbs sampling perspective C Xue, X Wang, J Yan, Y Hu, X Yang, K Sun Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10551 …, 2021 | 25 | 2021 |
Eautodet: Efficient architecture search for object detection X Wang, J Lin, J Zhao, X Yang, J Yan European Conference on Computer Vision, 668-684, 2022 | 24 | 2022 |
Rome: Robustifying memory-efficient nas via topology disentanglement and gradient accumulation X Wang, X Chu, Y Fan, Z Zhang, B Zhang, X Yang, J Yan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
A max-flow based approach for neural architecture search C Xue, X Wang, J Yan, CG Li European Conference on Computer Vision, 685-701, 2022 | 5 | 2022 |
DAAS: Differentiable architecture and augmentation policy search X Wang, X Chu, J Yan, X Yang arXiv preprint arXiv:2109.15273, 2021 | 4 | 2021 |
Diy your easynas for vision: Convolution operation merging, map channel reducing, and search space to supernet conversion tooling X Wang, Z Lian, J Lin, C Xue, J Yan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 3 | 2023 |
Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach B Zhang, X Wang, X Qin, J Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Poisson Process for Bayesian Optimization X Wang, J Li, C Xue, W Liu, W Liu, X Yang, J Yan, D Tao International Conference on Automated Machine Learning, 3/1-20, 2023 | | 2023 |