Meta-Learning

Learning to Learn Gradient Aggregation by Gradient Descent IJCAI 2019 Learning to Learn Image Classifiers With Visual Analogy CVPR 2019 Learning-to-Learn Stochastic Gradient Descent with Biased Regularization ICML 2019 Learning to Learn with Conditional Class Dependencies ICLR 2019 Learning to Navigate the Web ICLR 2019 Learning to Self-Train for Semi-Supervised Few-Shot Classification NeurIPS 2019 LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning ICML 2019 Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning NeurIPS 2019 Machine Learning Based Heuristic Search Algorithms to Solve Birds of a Feather Card Game AAAI 2019 MAME : Model-Agnostic Meta-Exploration CoRL 2019 Meta Architecture Search NeurIPS 2019 Meta-Descent for Online, Continual Prediction AAAI 2019 Meta-Inverse Reinforcement Learning with Probabilistic Context Variables NeurIPS 2019 Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset CVPR 2019 Meta Learning for Image Captioning AAAI 2019 Meta-Learning Improves Lifelong Relation Extraction ACL 2019 Meta-Learning Update Rules for Unsupervised Representation Learning ICLR 2019 Meta-Learning With Differentiable Convex Optimization CVPR 2019 Meta Learning with Relational Information for Short Sequences NeurIPS 2019 MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning ICCV 2019 Meta-SR: A Magnification-Arbitrary Network for Super-Resolution CVPR 2019 MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer AAAI 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