728x90
https://ieeexplore.ieee.org/document/5288526
A Survey on Transfer Learning
A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. However, in many real-world applications, this assumption may not hold. For exampl
ieeexplore.ieee.org
728x90
'논문 Paper' 카테고리의 다른 글
| 논문 요약 AI (0) | 2023.03.15 |
|---|---|
| BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension 바트 (0) | 2022.11.09 |
| Sequence to Sequence Learning with Neural Networks 시퀀스 투 시퀀스 (0) | 2022.11.04 |
| Deep Residual Learning for Image Recognition 깊은 잔차 학습 이미지 인식 ResNet (1) | 2022.11.03 |
| Attention is all you need! (0) | 2022.03.15 |