Few-Shot Learning

Image Block Augmentation for One-Shot Learning AAAI 2019 Image Deformation Meta-Networks for One-Shot Learning CVPR 2019 Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis CVPR 2019 Incremental Few-Shot Learning for Pedestrian Attribute Recognition IJCAI 2019 Incremental Few-Shot Learning with Attention Attractor Networks NeurIPS 2019 Induction Networks for Few-Shot Text Classification EMNLP 2019 Infinite Mixture Prototypes for Few-shot Learning ICML 2019 Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy CVPR 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 Latent-Variable Generative Models for Data-Efficient Text Classification EMNLP 2019 Learning Classifiers for Target Domain with Limited or No Labels ICML 2019 Learning to Find Common Objects Across Few Image Collections ICCV 2019 Learning to Generalize Kinematic Models to Novel Objects CoRL 2019 Learning to Learn By Self-Critique NeurIPS 2019 Learning to Learn Image Classifiers With Visual Analogy CVPR 2019 Learning to Learn with Conditional Class Dependencies ICLR 2019 Learning to Propagate for Graph Meta-Learning NeurIPS 2019 LEARNING TO PROPAGATE LABELS: TRANSDUCTIVE PROPAGATION NETWORK FOR FEW-SHOT LEARNING ICLR 2019 Learning to Self-Train for Semi-Supervised Few-Shot Classification NeurIPS 2019 Learning View Priors for Single-View 3D Reconstruction CVPR 2019 LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning ICML 2019 Meta-Curvature NeurIPS 2019 Meta-Learning Probabilistic Inference for Prediction ICLR 2019