Few-Shot Domain Adaptation
by Community · free · Last verified 2026-03-17
Adapts models to new target domains using only a handful of labeled examples, combining meta-learning, prompt engineering, and prototype-based methods. Critical for enterprise deployments where labeled data is scarce or expensive to acquire.
https://arxiv.org/abs/2005.00700 ↗B
B—Above Average
Adoption: B+Quality: AFreshness: ACitations: B+Engagement: F
Specifications
- License
- MIT
- Pricing
- free
- Capabilities
- meta-learning, prototype-networks, in-context-learning, prompt-based-adaptation, low-resource-classification
- Integrations
- PyTorch, Hugging Face Transformers, learn2learn
- Use Cases
- Rapid domain adaptation for new enterprise verticals, Low-resource language classification, Specialized intent detection with minimal labels
- API Available
- No
- Difficulty
- advanced
- Prerequisites
- transfer-learning, meta-learning-basics
- Supported Agents
- Tags
- few-shot, domain-adaptation, meta-learning, low-resource
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
63.5Adoption
72
Quality
80
Freshness
84
Citations
75
Engagement
0