Few-Shot Learning

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 Distributional Signatures ICLR 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 FGN: Fully Guided Network for Few-Shot Instance Segmentation CVPR 2020 Flight of the PEGASUS? Comparing Transformers on Few-shot and Zero-shot Multi-document Abstractive Summarization COLING 2020 Frustratingly Simple Few-Shot Object Detection ICML 2020 GPIRT: A Gaussian Process Model for Item Response Theory UAI 2020 Graph Few-Shot Learning via Knowledge Transfer AAAI 2020 Graph Meta Learning via Local Subgraphs NeurIPS 2020 Improved Few-Shot Visual Classification CVPR 2020 Incremental Few-Shot Object Detection CVPR 2020 Information Maximization for Few-Shot Learning NeurIPS 2020 Instance Credibility Inference for Few-Shot Learning CVPR 2020 Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations NeurIPS 2020 Interventional Few-Shot Learning NeurIPS 2020 IntKB: A Verifiable Interactive Framework for Knowledge Base Completion COLING 2020