Federated Learning for Vision-and-Language Grounding Problems閱讀筆記
Federated Learning for Vision-and-Language Grounding Problems閱讀筆記 論文主要工作 提出一種聯邦學習框架，通過生成細粒度的圖像表示，框架提高了在不需要共享下游任務數據的情況下vision-and-language grounding問題的性能 設計對齊、集成和映射網絡【Aligning, Integrating and Mapping
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相關文章
- 1. Federated Learning for Vision-and-Language Grounding Problems
- 2. （閱讀筆記）Federated Learning: Strategies for Improving Communication Efficiency
- 3. 閱讀筆記（Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding)
- 4. Deep Residual Learning for Image Recognition閱讀筆記
- 5. Deep Reinforcement Learning for Dialogue Generation閱讀筆記
- 6. Matching Networks for one Shot Learning 閱讀筆記
- 7. FeUdal Networks for Hierarchical Reinforcement Learning 閱讀筆記
- 8. Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data 論文閱讀筆記
- 9. 【筆記筆記】《Federated Learning With Blockchain for Autonomous Vehicles Analysis and Design Challen》精讀筆記
- 10. 聯邦學習論文閱讀：Federated meta-learning for recommendation