conftrace_
← Learning Paradigms
Machine Learning › Learning Paradigms ›

Meta-Learning

973 papers

Papers per year

4
1
122
89
'10
'15
'20
'25

Papers

Meta Architecture Search NIPS 2019
Adaptive Gradient-Based Meta-Learning Methods NIPS 2019
Compositional generalization through meta sequence-to-sequence learning NIPS 2019
Unsupervised Meta-Learning for Few-Shot Image Classification NIPS 2019
MAME : Model-Agnostic Meta-Exploration CORL 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning CORL 2019
MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer AAAI 2019
Bayesian Functional Optimisation with Shape Prior AAAI 2019
On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation AAAI 2019
TAPAS: Train-Less Accuracy Predictor for Architecture Search AAAI 2019
Meta-Descent for Online, Continual Prediction AAAI 2019
Towards Automated Semi-Supervised Learning AAAI 2019
Trainable Undersampling for Class-Imbalance Learning AAAI 2019
HyperAdam: A Learnable Task-Adaptive Adam for Network Training AAAI 2019
Unsupervised Meta-Learning of Figure-Ground Segmentation via Imitating Visual Effects AAAI 2019
Meta Learning for Image Captioning AAAI 2019
Machine Learning Based Heuristic Search Algorithms to Solve Birds of a Feather Card Game AAAI 2019
Towards Fluid Machine Intelligence: Can We Make a Gifted AI? AAAI 2019
A Meta-Learning Approach for Custom Model Training AAAI 2019
Learning Options with Interest Functions AAAI 2019
Self-Regulated Interactive Sequence-to-Sequence Learning ACL 2019
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing ACL 2019
Few-Shot Representation Learning for Out-Of-Vocabulary Words ACL 2019
Personalizing Dialogue Agents via Meta-Learning ACL 2019
Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision ACL 2019