Federated Learning for Vision-and-Language Grounding Problems阅读笔记
Federated Learning for Vision-and-Language Grounding Problems阅读笔记 论文主要工作 提出一种联邦学习框架，通过生成细粒度的图像表示，框架提高了在不需要共享下游任务数据的情况下vision-and-language grounding问题的性能 设计对齐、集成和映射网络【Aligning, Integrating and Mapping
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相关文章
- 1. Federated Learning for Vision-and-Language Grounding Problems
- 2. （阅读笔记）Federated Learning: Strategies for Improving Communication Efficiency
- 3. 阅读笔记（Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding)
- 4. Deep Residual Learning for Image Recognition阅读笔记
- 5. Deep Reinforcement Learning for Dialogue Generation阅读笔记
- 6. Matching Networks for one Shot Learning 阅读笔记
- 7. FeUdal Networks for Hierarchical Reinforcement Learning 阅读笔记
- 8. Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data 论文阅读笔记
- 9. 【笔记笔记】《Federated Learning With Blockchain for Autonomous Vehicles Analysis and Design Challen》精读笔记
- 10. 联邦学习论文阅读：Federated meta-learning for recommendation