- 1. Rethinking few-shot image classification: a good embedding is all you need?
- 2. Meta-Learning with Differentiable Convex Optimization
- 3. S2M2 Charting the Right Manifold: Manifold Mixup for Few-shot Learning
- 4. Leveraging the Feature Distribution in Transfer-based Few-Shot Learning
- 5. Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation