作者提出了一种名为Channel Independent Meta Learner（ChIMP）的元学习框架，关键创新点包括： 1. 通道独立处理：每个通道通过独立的模块编码，避免异质通道混合导致的噪声。 2. 元学习（Meta-Learning）：基于MAML（Model-Agnostic Meta-Learning）框架，使模型能够快速适应新任务。 3. 隐空间知识共享：在隐空间中对不同通道的信息进行交互，实现跨任务和跨通道的知识迁移。
active 2023-09-04 → 2026-04-22 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 962 days from 2023-09-04 to 2026-04-22. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 3 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 14 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| wgl-wwm | 2 | 0 | 0 | 0 |
| Dimitri666 | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 14 stars here means stars gained during the window, not the repo's star count.