Continual Learning

Policy Consolidation for Continual Reinforcement Learning ICML 2019 Practical Deep Learning with Bayesian Principles NeurIPS 2019 Psycholinguistics Meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering ACL 2019 Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics JMLR 2019 Random Path Selection for Continual Learning NeurIPS 2019 Real-Time Self-Adaptive Deep Stereo CVPR 2019 Reconciling meta-learning and continual learning with online mixtures of tasks NeurIPS 2019 Scalable Recollections for Continual Lifelong Learning AAAI 2019 Selfless Sequential Learning ICLR 2019 Self-Organizing Incremental Neural Networks for Continual Learning IJCAI 2019 Sentence Embedding Alignment for Lifelong Relation Extraction NAACL 2019 Task-Free Continual Learning CVPR 2019 Towards Incremental Learning of Word Embeddings Using Context Informativeness ACL 2019 Uncertainty-based Continual Learning with Adaptive Regularization NeurIPS 2019 Visual Reasoning by Progressive Module Networks ICLR 2019 Adding New Classes without Access to the Original Training Data with Applications to Language Identification Interspeech 2018 Autonomously Reusing Knowledge in Multiagent Reinforcement Learning IJCAI 2018 Continual Reinforcement Learning with Complex Synapses ICML 2018 Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments ICLR 2018 Continuous Learning in a Hierarchical Multiscale Neural Network ACL 2018 Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks ICML 2018 Curriculum Learning for Natural Answer Generation IJCAI 2018 Demonstrating Par4Sem - A Semantic Writing Aid with Adaptive Paraphrasing EMNLP 2018 Differentiable plasticity: training plastic neural networks with backpropagation ICML 2018 Distributed Weight Consolidation: A Brain Segmentation Case Study NeurIPS 2018