Continual Learning

Knowledge-Based Linguistic Encoding for End-to-End Mandarin Text-to-Speech Synthesis Interspeech 2019 Large Scale Incremental Learning CVPR 2019 Learning a Unified Classifier Incrementally via Rebalancing CVPR 2019 Learning Shared Knowledge for Deep Lifelong Learning using Deconvolutional Networks IJCAI 2019 Learning to Caption Images Through a Lifetime by Asking Questions ICCV 2019 Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference ICLR 2019 Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning CVPR 2019 Learning Without Memorizing CVPR 2019 Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting ICML 2019 Lifelong GAN: Continual Learning for Conditional Image Generation ICCV 2019 Lifelong Optimization with Low Regret AISTATS 2019 Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control CoRL 2019 Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks CVPR 2019 MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning AAAI 2019 Metadata-driven Task Relation Discovery for Multi-task Learning IJCAI 2019 Meta-Descent for Online, Continual Prediction AAAI 2019 MetaInit: Initializing learning by learning to initialize NeurIPS 2019 Meta-Learning Improves Lifelong Relation Extraction ACL 2019 Meta-Learning Representations for Continual Learning NeurIPS 2019 Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers CVPR 2019 Multi-Task Deep Reinforcement Learning with PopArt AAAI 2019 Online Continual Learning with Maximal Interfered Retrieval NeurIPS 2019 Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation NAACL 2019 Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation ICLR 2019 Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild ICCV 2019