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Meta-Learning

1524 directly classified papers

Papers per year

Papers

Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining EMNLP 2020
Learning to Learn Kernels with Variational Random Features ICML 2020
Marthe: Scheduling the Learning Rate Via Online Hypergradients IJCAI 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation EMNLP 2020
MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning CVPR 2020
Few-Shot Open-Set Recognition Using Meta-Learning CVPR 2020
Continuous Meta-Learning without Tasks NIPS 2020
Meta-Learning with Adaptive Hyperparameters NIPS 2020
Self-Supervised Deep Visual Odometry With Online Adaptation CVPR 2020
Online Depth Learning Against Forgetting in Monocular Videos CVPR 2020
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search IJCAI 2020
Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning IJCAI 2020
Meta-trained agents implement Bayes-optimal agents NIPS 2020
Meta-Learning for Speech Emotion Recognition Considering Ambiguity of Emotion Labels INTERSPEECH 2020
Meta Multi-Task Learning for Speech Emotion Recognition INTERSPEECH 2020
Meta-Learning of Neural Architectures for Few-Shot Learning CVPR 2020
MetaPoison: Practical General-purpose Clean-label Data Poisoning NIPS 2020
Representation Based Meta-Learning for Few-Shot Spoken Intent Recognition INTERSPEECH 2020
MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation CVPR 2020
Towards Low-Resource Semi-Supervised Dialogue Generation with Meta-Learning EMNLP 2020
MATE: Plugging in Model Awareness to Task Embedding for Meta Learning NIPS 2020
Meta-Reinforced Multi-Domain State Generator for Dialogue Systems ACL 2020
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs ICML 2020
Meta-Learning with Shared Amortized Variational Inference ICML 2020
MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control AAAI 2020