Meta-Learning

Meta-Learning Representations for Continual Learning NeurIPS 2019 Meta-Learning With Differentiable Convex Optimization CVPR 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-SR: A Magnification-Arbitrary Network for Super-Resolution CVPR 2019 Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision ACL 2019 Personalizing Dialogue Agents via Meta-Learning ACL 2019 Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach EMNLP 2019 Towards Fluid Machine Intelligence: Can We Make a Gifted AI? AAAI 2019 Unsupervised Curricula for Visual Meta-Reinforcement Learning NeurIPS 2019 Differentiable plasticity: training plastic neural networks with backpropagation ICML 2018 Evolved Policy Gradients NeurIPS 2018 Learning to Compare: Relation Network for Few-Shot Learning CVPR 2018 Learning to Multitask NeurIPS 2018 Learning to Teach with Dynamic Loss Functions NeurIPS 2018 Low-Shot Learning From Imaginary Data CVPR 2018 Machine Theory of Mind ICML 2018 MetaAnchor: Learning to Detect Objects with Customized Anchors NeurIPS 2018 Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm ICLR 2018 Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings ACL 2018 Neural Style Transfer via Meta Networks CVPR 2018 Searching for Efficient Multi-Scale Architectures for Dense Image Prediction NeurIPS 2018 Transfer Learning with Neural AutoML NeurIPS 2018 Neural Program Meta-Induction NeurIPS 2017 One-Shot Imitation Learning NeurIPS 2017