Few-Shot Learning

Few-Shot NLG with Pre-Trained Language Model ACL 2020 Few-Shot Open-Set Recognition Using Meta-Learning CVPR 2020 Few-Shot Pill Recognition CVPR 2020 Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network ACL 2020 Few-Shot Video Classification via Temporal Alignment CVPR 2020 Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration IJCAI 2020 FGN: Fully Guided Network for Few-Shot Instance Segmentation CVPR 2020 Fine-Grained Image-to-Image Transformation Towards Visual Recognition CVPR 2020 From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers EMNLP 2020 FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation CVPR 2020 Generative Continual Concept Learning AAAI 2020 Graph Few-Shot Learning via Knowledge Transfer AAAI 2020 Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks ICLR 2020 Harvesting and Refining Question-Answer Pairs for Unsupervised QA ACL 2020 HSCNN: A Hybrid-Siamese Convolutional Neural Network for Extremely Imbalanced Multi-label Text Classification EMNLP 2020 Improved Few-Shot Visual Classification CVPR 2020 Incremental Few-Shot Object Detection CVPR 2020 Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition CVPR 2020 Information Seeking in the Spirit of Learning: A Dataset for Conversational Curiosity EMNLP 2020 Instance Credibility Inference for Few-Shot Learning CVPR 2020 Intent Detection with WikiHow AACL 2020 Knowledge Graph Transfer Network for Few-Shot Recognition AAAI 2020 Laplacian Regularized Few-Shot Learning ICML 2020 Learning Emotion from 100 Observations: Unexpected Robustness of Deep Learning under Strong Data Limitations COLING 2020 Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020