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Meta-Learning

357 directly classified papers

Papers per year

Papers

When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract) AAAI 2020
Graph Neural Architecture Search IJCAI 2020
Meta-Learning PAC-Bayes Priors in Model Averaging AAAI 2020
Optimizing Data Usage via Differentiable Rewards ICML 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch ICML 2020
Few-Shot Learning of Video Action Recognition Only Based on Video Contents WACV 2020
Training Noise-Robust Deep Neural Networks via Meta-Learning CVPR 2020
On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation AAAI 2019
Adaptive Gradient-Based Meta-Learning Methods NIPS 2019
TAPAS: Train-Less Accuracy Predictor for Architecture Search AAAI 2019
Meta-Descent for Online, Continual Prediction AAAI 2019
HyperAdam: A Learnable Task-Adaptive Adam for Network Training AAAI 2019
Few-Shot Representation Learning for Out-Of-Vocabulary Words ACL 2019
Learning to Learn Gradient Aggregation by Gradient Descent IJCAI 2019
Unsupervised Meta-Learning of Figure-Ground Segmentation via Imitating Visual Effects AAAI 2019
Learning Options with Interest Functions AAAI 2019
Trainable Undersampling for Class-Imbalance Learning AAAI 2019
Machine Learning Based Heuristic Search Algorithms to Solve Birds of a Feather Card Game AAAI 2019
Sample Efficient Active Learning of Causal Trees NIPS 2019
Towards Automated Semi-Supervised Learning AAAI 2019
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution CVPR 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph IJCAI 2019
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes NIPS 2019
Feature-Critic Networks for Heterogeneous Domain Generalization ICML 2019
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning ICML 2019