← Learning Paradigms
Machine Learning › Learning Paradigms ›

Meta-Learning

722 directly classified papers

Papers per year

Papers

Model-Based Reinforcement Learning via Meta-Policy Optimization CORL 2018
Data-Driven Clustering via Parameterized Lloyd's Families NIPS 2018
Meta-Reinforcement Learning of Structured Exploration Strategies NIPS 2018
MetaGAN: An Adversarial Approach to Few-Shot Learning NIPS 2018
MetaReg: Towards Domain Generalization using Meta-Regularization NIPS 2018
Benefits of over-parameterization with EM NIPS 2018
Probabilistic Model-Agnostic Meta-Learning NIPS 2018
Learning To Learn Around A Common Mean NIPS 2018
Long short-term memory and Learning-to-learn in networks of spiking neurons NIPS 2018
Bayesian Model-Agnostic Meta-Learning NIPS 2018
Parsimonious Bayesian deep networks NIPS 2018
Modular meta-learning CORL 2018
Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets CORL 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning CORL 2018
Low-Shot Learning From Imaginary Data CVPR 2018
Lifelong Domain Word Embedding via Meta-Learning IJCAI 2018
Learning to Explore via Meta-Policy Gradient ICML 2018
Transfer Learning via Learning to Transfer ICML 2018
Differentiable plasticity: training plastic neural networks with backpropagation ICML 2018
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace ICML 2018
Natural Language to Structured Query Generation via Meta-Learning NAACL 2018
Meta-Learning for Low-Resource Neural Machine Translation EMNLP 2018
Learning to Learn Semantic Parsers from Natural Language Supervision EMNLP 2018
Predicting accuracy on large datasets from smaller pilot data ACL 2018
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments ICLR 2018