few-shot learning

Out-of-Domain Detection for Low-Resource Text Classification Tasks EMNLP 2019 PARN: Position-Aware Relation Networks for Few-Shot Learning ICCV 2019 Personalizing Dialogue Agents via Meta-Learning ACL 2019 Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph IJCAI 2019 Reconciling meta-learning and continual learning with online mixtures of tasks NeurIPS 2019 RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection CVPR 2019 Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning CVPR 2019 Sample Efficient Adaptive Text-to-Speech ICLR 2019 Scalable graph-based method for individual named entity identification EMNLP 2019 Semantic Projection Network for Zero- and Few-Label Semantic Segmentation CVPR 2019 Semi-Supervised Domain Adaptation via Minimax Entropy ICCV 2019 Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks ICML 2019 SILCO: Show a Few Images, Localize the Common Object ICCV 2019 SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies NeurIPS 2019 Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification CVPR 2019 Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion EMNLP 2019 TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning CVPR 2019 TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning ICML 2019 Task Agnostic Meta-Learning for Few-Shot Learning CVPR 2019 Text Classification with Few Examples using Controlled Generalization NAACL 2019 Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach EMNLP 2019 Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning ICCV 2019 Unsupervised Learning via Meta-Learning ICLR 2019 Unsupervised Meta-Learning for Few-Shot Image Classification NeurIPS 2019 Variational Few-Shot Learning ICCV 2019