小样本学习（few-shot learning）
SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation
Learning Task-aware Local Representations for Few-shot Learning
Transductive Relation-Propagation Network for Few-shot Learning
Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration
Few-shot Human Motion Prediction via Learning Novel Motion Dynamics
Self-Supervised Tuning for Few-Shot Segmentation
Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition
Asymmetric Distribution Measure for Few-shot Learning
零样本（zero-shot learning）
Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space
CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP
Generalized Zero-Shot Text Classification for ICD Coding
领域自适应（domain adaptation）
domain adaptation:
Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation
Metric Learning in Optimal Transport for Domain Adaptation
Towards Accurate and Robust Domain Adaptation under Noisy Environments
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation
Joint Partial Optimal Transport for Open Set Domain Adaptation
Self-adaptive Re-weighted Adversarial Domain Adaptation
Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image Segmentation
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model
Domain Adaptation for Semantic Parsing
Bridging Cross-Tasks Gap for Cognitive Assessment via Fine-Grained Domain Adaptation
Consistent Domain Structure Learning and Domain Alignment for 2D Image-Based 3D Objects Retrieval
元学习（meta-learning）
Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning
Federated Meta-Learning for Fraudulent Credit Card Detection
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来源：oschina
链接：https://my.oschina.net/u/4395239/blog/4387303