few-shot learning

Few-shot Learning for Multi-label Intent Detection AAAI 2021 Few-shot Learning for Slot Tagging with Attentive Relational Network EACL 2021 Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data EACL 2021 Few-Shot Learning of New Sound Classes for Target Sound Extraction Interspeech 2021 Few-shot learning through contextual data augmentation EACL 2021 Few-Shot Learning via Feature Hallucination With Variational Inference WACV 2021 Few-Shot Learning via Learning the Representation, Provably ICLR 2021 Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images IJCAI 2021 Few-Shot Lifelong Learning AAAI 2021 Few-Shot Named Entity Recognition: An Empirical Baseline Study EMNLP 2021 Few-Shot Neural Architecture Search ICML 2021 Few-Shot Novel Concept Learning for Semantic Parsing EMNLP 2021 Few-Shot Object Detection via Classification Refinement and Distractor Retreatment CVPR 2021 Few-Shot One-Class Classification via Meta-Learning AAAI 2021 Few-Shot Open-Set Recognition by Transformation Consistency CVPR 2021 Few-Shot Partial-Label Learning IJCAI 2021 FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models EMNLP 2021 Few-Shot Question Answering by Pretraining Span Selection ACL 2021 Few-Shot Segmentation via Cycle-Consistent Transformer NeurIPS 2021 Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR 2021 Few-Shot Semantic Parsing for New Predicates EACL 2021 Few-Shot Table-to-Text Generation with Prototype Memory EMNLP 2021 Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning NAACL 2021 Few-Shot Text Generation with Natural Language Instructions EMNLP 2021 Few-Shot Transformation of Common Actions Into Time and Space CVPR 2021