few-shot learning

Few-Shot NLG with Pre-Trained Language Model ACL 2020 Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector CVPR 2020 Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following CoRL 2020 Few-Shot Open-Set Recognition Using Meta-Learning CVPR 2020 Few-Shot Pill Recognition CVPR 2020 Few-shot Pseudo-Labeling for Intent Detection COLING 2020 Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs ICML 2020 Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning WACV 2020 Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network ACL 2020 Few-Shot Text Classification with Edge-Labeling Graph Neural Network-Based Prototypical Network COLING 2020 Few-Shot Video Classification via Temporal Alignment CVPR 2020 Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration IJCAI 2020 Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning NeurIPS 2020 FGN: Fully Guided Network for Few-Shot Instance Segmentation CVPR 2020 Fine-Grained Image-to-Image Transformation Towards Visual Recognition CVPR 2020 Flight of the PEGASUS? Comparing Transformers on Few-shot and Zero-shot Multi-document Abstractive Summarization COLING 2020 From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap ACL 2020 Frustratingly Simple Few-Shot Object Detection ICML 2020 Generative Continual Concept Learning AAAI 2020 Generative Model with Semantic Embedding and Integrated Classifier for Generalized Zero-Shot Learning WACV 2020 Gradient-EM Bayesian Meta-Learning NeurIPS 2020 Graph Few-Shot Learning via Knowledge Transfer AAAI 2020 Graph Meta Learning via Local Subgraphs NeurIPS 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