few-shot learning

Visual Concept-Metaconcept Learning NeurIPS 2019 Zero Shot Intent Classification Using Long-Short Term Memory Networks Interspeech 2019 Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning NeurIPS 2018 A Simple Neural Attentive Meta-Learner ICLR 2018 Bayesian Model-Agnostic Meta-Learning NeurIPS 2018 Bilevel Programming for Hyperparameter Optimization and Meta-Learning ICML 2018 BRUNO: A Deep Recurrent Model for Exchangeable Data NeurIPS 2018 CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition CVPR 2018 Conditional Neural Processes ICML 2018 CRUISE: Cold-Start New Skill Development via Iterative Utterance Generation ACL 2018 Delta-encoder: an effective sample synthesis method for few-shot object recognition NeurIPS 2018 Diverse Few-Shot Text Classification with Multiple Metrics NAACL 2018 Dynamic Few-Shot Visual Learning Without Forgetting CVPR 2018 EMR Coding with Semi-Parametric Multi-Head Matching Networks NAACL 2018 FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation EMNLP 2018 Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces EMNLP 2018 Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions ICLR 2018 Few-Shot Charge Prediction with Discriminative Legal Attributes COLING 2018 Few-shot Generative Modelling with Generative Matching Networks AISTATS 2018 Few-Shot Goal Inference for Visuomotor Learning and Planning CoRL 2018 Few-Shot Image Recognition by Predicting Parameters From Activations CVPR 2018 Few-Shot Learning with Graph Neural Networks ICLR 2018 Gaussian Process Conditional Density Estimation NeurIPS 2018 Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace ICML 2018 KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning COLING 2018