few-shot learning

Learning Deep Disentangled Embeddings With the F-Statistic Loss NeurIPS 2018 Learning to Compare: Relation Network for Few-Shot Learning CVPR 2018 Low-Shot Learning From Imaginary Data CVPR 2018 Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks NeurIPS 2018 Memory, Show the Way: Memory Based Few Shot Word Representation Learning EMNLP 2018 MetaGAN: An Adversarial Approach to Few-Shot Learning NeurIPS 2018 Meta-Learning for Semi-Supervised Few-Shot Classification ICLR 2018 MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning ICML 2018 Multi-Content GAN for Few-Shot Font Style Transfer CVPR 2018 Natural Language to Structured Query Generation via Meta-Learning NAACL 2018 Neural Graph Matching Networks for Fewshot 3D Action Recognition ECCV 2018 Neural Voice Cloning with a Few Samples NeurIPS 2018 One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning RSS 2018 One-shot Learning for Question-Answering in Gaokao History Challenge COLING 2018 Probabilistic Model-Agnostic Meta-Learning NeurIPS 2018 Rapid Adaptation with Conditionally Shifted Neurons ICML 2018 TADAM: Task dependent adaptive metric for improved few-shot learning NeurIPS 2018 Task-Embedded Control Networks for Few-Shot Imitation Learning CoRL 2018 Temporal Hallucinating for Action Recognition With Few Still Images CVPR 2018 The Importance of Sampling inMeta-Reinforcement Learning NeurIPS 2018 Towards one-shot learning for rare-word translation with external experts ACL 2018 Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors CVPR 2017 Few-Shot Adversarial Domain Adaptation NeurIPS 2017 Few-Shot Learning Through an Information Retrieval Lens NeurIPS 2017 Few-Shot Object Recognition From Machine-Labeled Web Images CVPR 2017