Continual Learning

Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning CVPR 2021 Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network AAAI 2021 Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers EMNLP 2021 Training Networks in Null Space of Feature Covariance for Continual Learning CVPR 2021 Using Hindsight to Anchor Past Knowledge in Continual Learning AAAI 2021 Wanderlust: Online Continual Object Detection in the Real World ICCV 2021 A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario AAAI 2020 Bi-Objective Continual Learning: Learning ‘New’ While Consolidating ‘Known’ AAAI 2020 Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks AAAI 2020 Calibrating CNNs for Lifelong Learning NeurIPS 2020 Conditional Channel Gated Networks for Task-Aware Continual Learning CVPR 2020 Continual Deep Learning by Functional Regularisation of Memorable Past NeurIPS 2020 Continual Learning for Natural Language Generation in Task-oriented Dialog Systems EMNLP 2020 Continual Learning in Low-rank Orthogonal Subspaces NeurIPS 2020 Continual Learning Long Short Term Memory EMNLP 2020 Continual Learning With Extended Kronecker-Factored Approximate Curvature CVPR 2020 Continual Relation Learning via Episodic Memory Activation and Reconsolidation ACL 2020 Functional Regularisation for Continual Learning with Gaussian Processes ICLR 2020 GAN Memory with No Forgetting NeurIPS 2020 Incremental Learning in Online Scenario CVPR 2020 Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020 Learning to Segment the Tail CVPR 2020 Lifelong Language Knowledge Distillation EMNLP 2020 Look-ahead Meta Learning for Continual Learning NeurIPS 2020 Maintaining Discrimination and Fairness in Class Incremental Learning CVPR 2020