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Learning Paradigms

2,054 papers (7 classified directly here)

Subtopics

Meta-Learning (973) Federated Learning (894) Curriculum Learning (202)

Papers per year

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Papers (including subtopics)

Meta-Learning MCMC Proposals NIPS 2018
MetaReg: Towards Domain Generalization using Meta-Regularization NIPS 2018
Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization NIPS 2018
Benefits of over-parameterization with EM NIPS 2018
Probabilistic Model-Agnostic Meta-Learning NIPS 2018
Probabilistic Matrix Factorization for Automated Machine Learning NIPS 2018
Learning To Learn Around A Common Mean NIPS 2018
Long short-term memory and Learning-to-learn in networks of spiking neurons NIPS 2018
Bayesian Model-Agnostic Meta-Learning NIPS 2018
Parsimonious Bayesian deep networks NIPS 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning CORL 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization CORL 2018
Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets CORL 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning CORL 2018
Modular meta-learning CORL 2018
Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data ACL 2018
Predicting accuracy on large datasets from smaller pilot data ACL 2018
Learning by Asking Questions CVPR 2018
Low-Shot Learning From Imaginary Data CVPR 2018
Learning to Learn Semantic Parsers from Natural Language Supervision EMNLP 2018
Meta-Learning for Low-Resource Neural Machine Translation EMNLP 2018
Curriculum Learning Based on Reward Sparseness for Deep Reinforcement Learning of Task Completion Dialogue Management EMNLP 2018
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments ICLR 2018
Mix & Match Agent Curricula for Reinforcement Learning ICML 2018
Automatic Goal Generation for Reinforcement Learning Agents ICML 2018