few-shot learning

Edge-Labeling Graph Neural Network for Few-Shot Learning CVPR 2019 Efficient Meta Learning via Minibatch Proximal Update NeurIPS 2019 Extreme Multi-Label Legal Text Classification: A Case Study in EU Legislation NAACL 2019 Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes NeurIPS 2019 Fast Context Adaptation via Meta-Learning ICML 2019 FewRel 2.0: Towards More Challenging Few-Shot Relation Classification EMNLP 2019 Few-Shot Adaptive Faster R-CNN CVPR 2019 Few-Shot Adaptive Gaze Estimation ICCV 2019 Few-Shot Adversarial Learning of Realistic Neural Talking Head Models ICCV 2019 Few-Shot and Zero-Shot Learning for Historical Text Normalization EMNLP 2019 Few-Shot Audio Classification with Attentional Graph Neural Networks Interspeech 2019 Few-Shot Generalization for Single-Image 3D Reconstruction via Priors ICCV 2019 Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding AAAI 2019 Few-Shot Learning for Dermatological Disease Diagnosis MLHC 2019 Few-Shot Learning via Saliency-Guided Hallucination of Samples CVPR 2019 Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training ICCV 2019 Few-Shot Learning With Global Class Representations ICCV 2019 Few-Shot Learning With Localization in Realistic Settings CVPR 2019 Few-Shot Representation Learning for Out-Of-Vocabulary Words ACL 2019 Few-Shot Unsupervised Image-to-Image Translation ICCV 2019 Few-shot Video-to-Video Synthesis NeurIPS 2019 Finding Task-Relevant Features for Few-Shot Learning by Category Traversal CVPR 2019 F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning CVPR 2019 Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders CVPR 2019 Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning CVPR 2019