Few-Shot Learning

Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders CVPR 2019 Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning CVPR 2019 Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification AAAI 2019 Image Block Augmentation for One-Shot Learning AAAI 2019 Image Deformation Meta-Networks for One-Shot Learning CVPR 2019 Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy CVPR 2019 Look-up and Adapt: A One-shot Semantic Parser EMNLP 2019 Meta-Learning With Differentiable Convex Optimization CVPR 2019 Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition NeurIPS 2019 Meta-Transfer Learning for Few-Shot Learning CVPR 2019 Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation NeurIPS 2019 Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration CVPR 2019 One-Shot Object Detection with Co-Attention and Co-Excitation NeurIPS 2019 Personalizing Dialogue Agents via Meta-Learning ACL 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 Semantic Projection Network for Zero- and Few-Label Semantic Segmentation CVPR 2019 Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification CVPR 2019 TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning CVPR 2019 Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications ACL 2019 Unsupervised Meta-Learning for Few-Shot Image Classification NeurIPS 2019 Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images CVPR 2019 CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition CVPR 2018 Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning CVPR 2018 Few-Shot Learning with Graph Neural Networks ICLR 2018