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Machine learningDeep learning / NLP / CV

Transformer kendiri-terlaras

Transformer kendiri-terlaras ialah rangkaian Transformer yang dilatih awal menggunakan isyarat penyeliaan yang dibina secara automatik — seperti ramalan token bertopeng atau ramalan ayat seterusnya — berbanding label yang dianotasi manusia. Perwakilan yang terhasil kemudiannya dilaraskan halus atau diselidik pada tugasan hiliran. BERT, GPT, dan ViT (Vision Transformer dalam mod pemodelan imej bertopeng) ialah contoh paling terkenal bagi paradigma ini.

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Sumber

  1. Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. Proceedings of NAACL-HLT 2019, 4171–4186. DOI: 10.18653/v1/N19-1423
  2. Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017). Attention Is All You Need. Advances in Neural Information Processing Systems, 30. link

Cara memetik halaman ini

ScholarGate. (2026, June 3). Self-supervised Transformer (Pretraining with Self-generated Supervision). ScholarGate. https://scholargate.app/ms/deep-learning/self-supervised-transformer

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ScholarGateSelf-supervised Transformer (Self-supervised Transformer (Pretraining with Self-generated Supervision)). Dicapai 2026-06-15 daripada https://scholargate.app/ms/deep-learning/self-supervised-transformer · Set data: https://doi.org/10.5281/zenodo.20539026