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Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis.

, , , , , , , , , , , , , и . CoRR, (2023)

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Moon-Shin Hong

Jung-soo Hong

Youn-Ho Hong

Seong-Bang Hong

Hong Guo

 

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MetaAugment: Sample-Aware Data Augmentation Policy Learning., , , , , , и . AAAI, стр. 11097-11105. AAAI Press, (2021)ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning., , , , , и . CVPR, стр. 5383-5392. Computer Vision Foundation / IEEE, (2021)Generative Negative Text Replay for Continual Vision-Language Pretraining., , , , , , и . ECCV (36), том 13696 из Lecture Notes in Computer Science, стр. 22-38. Springer, (2022)Generalizing Few-Shot NAS with Gradient Matching., , , , , и . ICLR, OpenReview.net, (2022)Memory Replay with Data Compression for Continual Learning., , , , , , , , , и . ICLR, OpenReview.net, (2022)VEGA: Towards an End-to-End Configurable AutoML Pipeline., , , , , , , , , и 14 other автор(ы). CoRR, (2020)DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation., , , , , , , и . CoRR, (2020)MetaAugment: Sample-Aware Data Augmentation Policy Learning., , , , , , и . CoRR, (2020)CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs., , , и . CoRR, (2024)DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture., , , , , , и . Trans. Mach. Learn. Res., (2022)