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Generative Negative Text Replay for Continual Vision-Language Pretraining.

S. Yan, L. Hong, H. Xu, J. Han, T. Tuytelaars, Z. Li, и X. He. ECCV (36), том 13696 из Lecture Notes in Computer Science, стр. 22-38. Springer, (2022)

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Xin Hong

Moon-Shin Hong

Jung-soo Hong

Youn-Ho Hong

Seong-Bang Hong

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VEGA: Towards an End-to-End Configurable AutoML Pipeline.B. Wang, H. Xu, J. Zhang, C. Chen, Y. Xu, X. Fang, N. Kang, L. Hong, C. Jiang, X. Cai и 14 other автор(ы). CoRR, (2020)MetaAugment: Sample-Aware Data Augmentation Policy Learning.F. Zhou, J. Li, C. Xie, F. Chen, L. Hong, R. Sun, и Z. Li. CoRR, (2020)DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation.H. Bai, R. Sun, L. Hong, F. Zhou, N. Ye, H. Ye, S. Chan, и Z. Li. CoRR, (2020)MetaAugment: Sample-Aware Data Augmentation Policy Learning.F. Zhou, J. Li, C. Xie, F. Chen, L. Hong, R. Sun, и Z. Li. AAAI, стр. 11097-11105. AAAI Press, (2021)Generative Negative Text Replay for Continual Vision-Language Pretraining.S. Yan, L. Hong, H. Xu, J. Han, T. Tuytelaars, Z. Li, и X. He. ECCV (36), том 13696 из Lecture Notes in Computer Science, стр. 22-38. Springer, (2022)Generalizing Few-Shot NAS with Gradient Matching.S. Hu, R. Wang, L. Hong, Z. Li, C. Hsieh, и J. Feng. ICLR, OpenReview.net, (2022)Memory Replay with Data Compression for Continual Learning.L. Wang, X. Zhang, K. Yang, L. Yu, C. Li, L. Hong, S. Zhang, Z. Li, Y. Zhong, и J. Zhu. ICLR, OpenReview.net, (2022)ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning.L. Wang, K. Yang, C. Li, L. Hong, Z. Li, и J. Zhu. CVPR, стр. 5383-5392. Computer Vision Foundation / IEEE, (2021)Adversarial Robustness for Unsupervised Domain Adaptation.M. Awais, F. Zhou, H. Xu, L. Hong, P. Luo, S. Bae, и Z. Li. ICCV, стр. 8548-8557. IEEE, (2021)DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture.K. Zhou, L. Hong, S. Hu, F. Zhou, B. Ru, J. Feng, и Z. Li. Trans. Mach. Learn. Res., (2022)

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