Meta-Learning
Meta-learning is a methodology considered with "learning to learn" machine learning algorithms.
( Image credit: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks )
Papers
Showing 1–10 of 3569 papers
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | SoftModule | Average Success Rate | 60 | — | Unverified |
| 2 | Multi-task multi-head SAC | Average Success Rate | 35.85 | — | Unverified |
| 3 | DisCor | Average Success Rate | 26 | — | Unverified |
| 4 | NDP | Average Success Rate | 11 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Metadrop | % Test Accuracy | 95.75 | — | Unverified |