Few-Shot Learning

FewRel 2.0: Towards More Challenging Few-Shot Relation Classification EMNLP 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 Image Recognition With Knowledge Transfer ICCV 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 Object Detection via Feature Reweighting ICCV 2019 Few-Shot Representation Learning for Out-Of-Vocabulary Words ACL 2019 Few-Shot Unsupervised Image-to-Image Translation ICCV 2019 Finding Task-Relevant Features for Few-Shot Learning by Category Traversal 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 Generative predecessor models for sample-efficient imitation learning ICLR 2019 Give It a Shot: Few-shot Learning to Normalize ADR Mentions in Social Media Posts ACL 2019 Gradient Matching Generative Networks for Zero-Shot Learning CVPR 2019 Harry Potter and the Action Prediction Challenge from Natural Language NAACL 2019 Hierarchical Attention Prototypical Networks for Few-Shot Text Classification EMNLP 2019 How to train your MAML ICLR 2019 Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification AAAI 2019 Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model NeurIPS 2019