Learning Paradigms

Decentralized Collaborative Learning of Personalized Models over Networks AISTATS 2017 Distributed Semi-supervised Learning with Kernel Ridge Regression JMLR 2017 Efficient Distributed Learning with Sparsity ICML 2017 Evolving Recurrent Neural Networks That Process and Classify Raw Audio in a Streaming Fashion Interspeech 2017 Feedback Networks CVPR 2017 Gradient-free Policy Architecture Search and Adaptation CoRL 2017 Large-Scale Evolution of Image Classifiers ICML 2017 Learning to Model the Tail NeurIPS 2017 Legal NERC with ontologies, Wikipedia and curriculum learning EACL 2017 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks ICML 2017 One-Shot Imitation Learning NeurIPS 2017 One-Shot Visual Imitation Learning via Meta-Learning CoRL 2017 Progressive Neural Networks for Transfer Learning in Emotion Recognition Interspeech 2017 Reverse Curriculum Generation for Reinforcement Learning CoRL 2017 Self-paced Mixture of Regressions IJCAI 2017 Target Curricula via Selection of Minimum Feature Sets: a Case Study in Boolean Networks JMLR 2017 A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation Maximization PGM 2016 Bootstrap Model Aggregation for Distributed Statistical Learning NeurIPS 2016 Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs NeurIPS 2016 Meta–Gradient Boosted Decision Tree Model for Weight and Target Learning ICML 2016 On Pruning with the MDL Score PGM 2016 Curriculum Learning of Multiple Tasks CVPR 2015 Distributed Inference for Dirichlet Process Mixture Models ICML 2015 Efficient Representations for Lifelong Learning and Autoencoding COLT 2015 Algorithm selection by rational metareasoning as a model of human strategy selection NeurIPS 2014