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Machine learningDeep learning / NLP / CV

Uainishaji wa RoBERTa unaotumia Njia Nyingi

Uainishaji wa RoBERTa unaotumia Njia Nyingi unachanganya kiendeshi cha transformer cha RoBERTa — aina iliyoboreshwa sana ya BERT — na njia saidizi kama vile picha, metadata zilizopangwa, au vipengele vya jedwali. Uwakilishi uliounganishwa hupitishwa kwa kichwa cha uainishaji, kuruhusu mfumo kutumia uelewa tajiri wa lugha na ishara zisizo za maandishi kwa wakati mmoja.

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Vyanzo

  1. Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., Levy, O., Lewis, M., Zettlemoyer, L., & Stoyanov, V. (2019). RoBERTa: A Robustly Optimized BERT Pretraining Approach. arXiv preprint arXiv:1907.11692. link
  2. Kiela, D., Grave, E., Joulin, A., & Mikolov, T. (2018). Efficient Large-Scale Multi-Modal Classification. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1). link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Multimodal RoBERTa-based Classification (Text + Non-Text Fusion with RoBERTa Encoder). ScholarGate. https://scholargate.app/sw/deep-learning/multimodal-roberta-based-classification

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ScholarGateMultimodal RoBERTa-based Classification (Multimodal RoBERTa-based Classification (Text + Non-Text Fusion with RoBERTa Encoder)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/multimodal-roberta-based-classification · Seti ya data: https://doi.org/10.5281/zenodo.20539026