few-shot learning

Fine-Grained Recognition of Thousands of Object Categories With Single-Example Training CVPR 2017 High-risk learning: acquiring new word vectors from tiny data EMNLP 2017 How Robots Learn to Classify New Objects Trained from Small Data Sets CoRL 2017 LCNN: Lookup-Based Convolutional Neural Network CVPR 2017 Learning to Model the Tail NeurIPS 2017 Meta Networks ICML 2017 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks ICML 2017 Multi-Attention Network for One Shot Learning CVPR 2017 Neural Program Meta-Induction NeurIPS 2017 Prototypical Networks for Few-shot Learning NeurIPS 2017 Variational Memory Addressing in Generative Models NeurIPS 2017 Compact Bilinear Pooling CVPR 2016 Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs NeurIPS 2016 Matching Networks for One Shot Learning NeurIPS 2016 Meta-Learning with Memory-Augmented Neural Networks ICML 2016 One-Shot Learning of Scene Locations via Feature Trajectory Transfer CVPR 2016 Learning Like a Child: Fast Novel Visual Concept Learning From Sentence Descriptions of Images ICCV 2015 Model Recommendation: Generating Object Detectors From Few Samples CVPR 2015 COSTA: Co-Occurrence Statistics for Zero-Shot Classification CVPR 2014 Zero-shot recognition with unreliable attributes NeurIPS 2014 Discriminative Transfer Learning with Tree-based Priors NeurIPS 2013 One-shot learning by inverting a compositional causal process NeurIPS 2013 Transfer Learning in a Transductive Setting NeurIPS 2013 Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies NeurIPS 2013 Watching Unlabeled Video Helps Learn New Human Actions from Very Few Labeled Snapshots CVPR 2013