Few-Shot Learning

Few-Shot Learning With Localization in Realistic Settings CVPR 2019 Few-Shot Representation Learning for Out-Of-Vocabulary Words ACL 2019 Few-shot Video-to-Video Synthesis NeurIPS 2019 F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning CVPR 2019 Give It a Shot: Few-shot Learning to Normalize ADR Mentions in Social Media Posts ACL 2019 Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification AAAI 2019 Image Block Augmentation for One-Shot Learning AAAI 2019 Induction Networks for Few-Shot Text Classification EMNLP 2019 Large-Scale Long-Tailed Recognition in an Open World CVPR 2019 Large-Scale Multi-Label Text Classification on EU Legislation ACL 2019 LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning CVPR 2019 Learning Hawkes Processes from a handful of events NeurIPS 2019 Learning to Learn By Self-Critique NeurIPS 2019 Learning to Learn Image Classifiers With Visual Analogy CVPR 2019 Learning to Self-Train for Semi-Supervised Few-Shot Classification NeurIPS 2019 Low Shot Box Correction for Weakly Supervised Object Detection IJCAI 2019 Matching the Blanks: Distributional Similarity for Relation Learning ACL 2019 Measuring the Value of Linguistics: A Case Study from St. Lawrence Island Yupik ACL 2019 Meta-Learning With Differentiable Convex Optimization CVPR 2019 Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification ACL 2019 Out-of-Domain Detection for Low-Resource Text Classification Tasks EMNLP 2019 PARN: Position-Aware Relation Networks for Few-Shot Learning ICCV 2019 Reevaluating Argument Component Extraction in Low Resource Settings EMNLP 2019 Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning CVPR 2019 Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification CVPR 2019