few-shot classification

Few-Shot Open-Set Recognition Using Meta-Learning CVPR 2020 Learning rich touch representations through cross-modal self-supervision CoRL 2020 Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks ICLR 2020 Learning to Select Base Classes for Few-Shot Classification CVPR 2020 Meta Dropout: Learning to Perturb Latent Features for Generalization ICLR 2020 MetaFun: Meta-Learning with Iterative Functional Updates ICML 2020 M-NAS: Meta Neural Architecture Search AAAI 2020 Self-supervised Label Augmentation via Input Transformations ICML 2020 Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks EMNLP 2020 Shaping Visual Representations with Language for Few-Shot Classification ACL 2020 A Closer Look at Few-shot Classification ICLR 2019 Learning to Self-Train for Semi-Supervised Few-Shot Classification NeurIPS 2019 Temporal Cycle-Consistency Learning CVPR 2019 Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace ICML 2018 Low-Shot Learning From Imaginary Data CVPR 2018 Low-Shot Learning With Imprinted Weights CVPR 2018 Zero-shot Learning of Classifiers from Natural Language Quantification ACL 2018 Few-Shot Learning Through an Information Retrieval Lens NeurIPS 2017