Meta-Learning

Differentiable plasticity: training plastic neural networks with backpropagation ICML 2018 Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions ICLR 2018 Few-Shot Goal Inference for Visuomotor Learning and Planning CoRL 2018 Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace ICML 2018 Learning to Explore via Meta-Policy Gradient ICML 2018 Learning To Learn Around A Common Mean NeurIPS 2018 Learning to Learn Semantic Parsers from Natural Language Supervision EMNLP 2018 Learning to Reweight Examples for Robust Deep Learning ICML 2018 Lifelong Domain Word Embedding via Meta-Learning IJCAI 2018 Long short-term memory and Learning-to-learn in networks of spiking neurons NeurIPS 2018 Low-Shot Learning From Imaginary Data CVPR 2018 Machine Theory of Mind ICML 2018 MetaGAN: An Adversarial Approach to Few-Shot Learning NeurIPS 2018 Meta-Gradient Reinforcement Learning NeurIPS 2018 Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm ICLR 2018 Meta-Learning for Low-Resource Neural Machine Translation EMNLP 2018 Meta-Learning MCMC Proposals NeurIPS 2018 Meta-Level Control of Anytime Algorithms with Online Performance Prediction IJCAI 2018 MetaReg: Towards Domain Generalization using Meta-Regularization NeurIPS 2018 Meta-Reinforcement Learning of Structured Exploration Strategies NeurIPS 2018 Model-Based Reinforcement Learning via Meta-Policy Optimization CoRL 2018 Modular Continual Learning in a Unified Visual Environment ICLR 2018 Modular meta-learning CoRL 2018 Natural Language to Structured Query Generation via Meta-Learning NAACL 2018 Parsimonious Bayesian deep networks NeurIPS 2018