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Meta-Learning

1524 directly classified papers

Papers per year

Papers

Meta-Learning for Low-Resource Neural Machine Translation EMNLP 2018
Learning to Adapt: A Meta-learning Approach for Speaker Adaptation INTERSPEECH 2018
MetaAnchor: Learning to Detect Objects with Customized Anchors NIPS 2018
Transfer Learning with Neural AutoML NIPS 2018
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments ICLR 2018
Probabilistic Matrix Factorization for Automated Machine Learning NIPS 2018
Counterexample-Driven Genetic Programming: Stochastic Synthesis of Provably Correct Programs IJCAI 2018
LSTM Networks for Online Cross-Network Recommendations IJCAI 2018
Been There, Done That: Meta-Learning with Episodic Recall ICML 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning ICML 2018
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory ICML 2018
Continuous Learning in a Hierarchical Multiscale Neural Network ACL 2018
Learning with Latent Language NAACL 2018
Active DOP: A constituency treebank annotation tool with online learning COLING 2018
Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes AISTATS 2018
Neural Architecture Search with Bayesian Optimisation and Optimal Transport NIPS 2018
Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies NIPS 2018
Learning to Multitask NIPS 2018
Learning to Teach with Dynamic Loss Functions NIPS 2018
Natural Language to Structured Query Generation via Meta-Learning NAACL 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization CORL 2018
Online learning over a finite action set with limited switching COLT 2018
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning ICML 2018
Dynamic Meta-Embeddings for Improved Sentence Representations EMNLP 2018
Learning Context-Sensitive Convolutional Filters for Text Processing EMNLP 2018