few-shot learning

LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning ICML 2019 Low Shot Box Correction for Weakly Supervised Object Detection IJCAI 2019 Massively Multilingual Transfer for NER ACL 2019 Matching the Blanks: Distributional Similarity for Relation Learning ACL 2019 Memory-Based Neighbourhood Embedding for Visual Recognition ICCV 2019 Meta-Curvature NeurIPS 2019 Metalearned Neural Memory NeurIPS 2019 Meta-Learning Neural Bloom Filters ICML 2019 Meta-Learning Probabilistic Inference for Prediction ICLR 2019 Meta-Learning Representations for Continual Learning NeurIPS 2019 Meta-learning with differentiable closed-form solvers ICLR 2019 Meta-Learning With Differentiable Convex Optimization CVPR 2019 Meta-Learning with Implicit Gradients NeurIPS 2019 Meta-Learning with Latent Embedding Optimization ICLR 2019 Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning ICCV 2019 Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition NeurIPS 2019 Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs EMNLP 2019 Meta-Transfer Learning for Few-Shot Learning CVPR 2019 Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning CoRL 2019 Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision ACL 2019 Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification ACL 2019 Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation NeurIPS 2019 Neural Similarity Learning 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