Meta-Learning

Efficient Meta Learning via Minibatch Proximal Update NeurIPS 2019 Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables ICML 2019 Efficient optimization of loops and limits with randomized telescoping sums ICML 2019 EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch CVPR 2019 Exploring Randomly Wired Neural Networks for Image Recognition ICCV 2019 Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes NeurIPS 2019 Fast Context Adaptation via Meta-Learning ICML 2019 Few-Shot Adaptive Gaze Estimation ICCV 2019 Few-Shot Adversarial Learning of Realistic Neural Talking Head Models ICCV 2019 Few-Shot Learning With Localization in Realistic Settings CVPR 2019 Few-Shot Object Detection via Feature Reweighting ICCV 2019 GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue EMNLP 2019 Generalizable Person Re-Identification by Domain-Invariant Mapping Network CVPR 2019 Generalized Tensor Models for Recurrent Neural Networks ICLR 2019 Graph HyperNetworks for Neural Architecture Search ICLR 2019 Guided Meta-Policy Search NeurIPS 2019 Guiding Policies with Language via Meta-Learning ICLR 2019 Hierarchically Structured Meta-learning ICML 2019 How to train your MAML ICLR 2019 Hyperparameter Learning via Distributional Transfer NeurIPS 2019 Hyper-parameter Tuning under a Budget Constraint IJCAI 2019 Hyperspherical Prototype Networks NeurIPS 2019 Image Deformation Meta-Networks for One-Shot Learning CVPR 2019 Incremental Few-Shot Learning with Attention Attractor Networks NeurIPS 2019 Instance-Level Meta Normalization CVPR 2019