sequential learning

Residual Continual Learning AAAI 2020 Sequential Cooperative Bayesian Inference ICML 2020 Stochastic Convolutional Recurrent Networks for Language Modeling Interspeech 2020 Supermasks in Superposition NeurIPS 2020 A comprehensive, application-oriented study of catastrophic forgetting in DNNs ICLR 2019 An SVM-Based Framework for Long-Term Learning Systems AAAI 2019 Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization ICCV 2019 Learning to Remember More with Less Memorization ICLR 2019 Machine Teaching of Active Sequential Learners NeurIPS 2019 Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation ICLR 2019 Overcoming Multi-model Forgetting ICML 2019 Uniform regret bounds over R^d for the sequential linear regression problem with the square loss ALT 2019 Learning Localized Spatio-Temporal Models From Streaming Data ICML 2018 Online convex optimization for cumulative constraints NeurIPS 2018 Online Reciprocal Recommendation with Theoretical Performance Guarantees NeurIPS 2018 Overcoming Catastrophic Forgetting with Hard Attention to the Task ICML 2018 Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning NeurIPS 2018 Private Sequential Learning COLT 2018 Cortical microcircuits as gated-recurrent neural networks NeurIPS 2017 Fast Recursive Low-rank Tensor Learning for Regression IJCAI 2017 Iterative Machine Teaching ICML 2017 Knowledge Tracing in Sequential Learning of Inflected Vocabulary CoNLL 2017 Monte-Carlo Tree Search by Best Arm Identification NeurIPS 2017 A Lasso-based Sparse Knowledge Gradient Policy for Sequential Optimal Learning AISTATS 2016 Estimating Maximum Expected Value through Gaussian Approximation ICML 2016