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Meta-Learning

973 papers

Papers per year

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Papers

Introducing Symmetries to Black Box Meta Reinforcement Learning AAAI 2022
Learning Not to Learn: Nature versus Nurture In Silico AAAI 2022
A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations AAAI 2022
Learngene: From Open-World to Your Learning Task AAAI 2022
BM-NAS: Bilevel Multimodal Neural Architecture Search AAAI 2022
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning AAAI 2022
Towards Automated Discovery of God-Like Folk Algorithms for Rubik’s Cube AAAI 2022
Learning to Evolve on Dynamic Graphs (Student Abstract) AAAI 2022
Crowdsourcing with Meta-Knowledge Transfer (Student Abstract) AAAI 2022
Missing Modality meets Meta Sampling (M3S): An Efficient Universal Approach for Multimodal Sentiment Analysis with Missing Modality AACL 2022
Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation ACL 2022
Meta-learning via Language Model In-context Tuning ACL 2022
Leveraging Task Transferability to Meta-learning for Clinical Section Classification with Limited Data ACL 2022
Meta-XNLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation ACL 2022
Decomposed Meta-Learning for Few-Shot Named Entity Recognition ACL 2022
MetaWeighting: Learning to Weight Tasks in Multi-Task Learning ACL 2022
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data ACL 2022
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy AISTATS 2022
Metalearning Linear Bandits by Prior Update AISTATS 2022
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption AISTATS 2022
Meta Learning MDPs with linear transition models AISTATS 2022
Transfer Learning with Gaussian Processes for Bayesian Optimization AISTATS 2022
Hierarchical Bayesian Bandits AISTATS 2022
Near-Optimal Task Selection for Meta-Learning with Mutual Information and Online Variational Bayesian Unlearning AISTATS 2022
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning AISTATS 2022