Few-Shot Learning

SILCO: Show a Few Images, Localize the Common Object ICCV 2019 SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies NeurIPS 2019 Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification CVPR 2019 Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion EMNLP 2019 TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning CVPR 2019 TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning ICML 2019 Task Agnostic Meta-Learning for Few-Shot Learning CVPR 2019 Teleoperator Imitation with Continuous-Time Safety RSS 2019 Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach EMNLP 2019 Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning ICCV 2019 Unsupervised Meta-Learning for Few-Shot Image Classification NeurIPS 2019 Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents AAAI 2019 Using natural conversations to classify autism with limited data: Age matters NAACL 2019 Variational Few-Shot Learning ICCV 2019 Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images CVPR 2019 Visual Concept-Metaconcept Learning NeurIPS 2019 Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis AAAI 2019 Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning NeurIPS 2018 A General Approach to Multi-Armed Bandits Under Risk Criteria COLT 2018 Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters IJCAI 2018 APLenty: annotation tool for creating high-quality datasets using active and proactive learning EMNLP 2018 A Simple Neural Attentive Meta-Learner ICLR 2018 Attention-based Deep Multiple Instance Learning ICML 2018 Automatic Glossing in a Low-Resource Setting for Language Documentation COLING 2018 Bayesian Model-Agnostic Meta-Learning NeurIPS 2018