catastrophic forgetting

Continual Lifelong Learning in Natural Language Processing: A Survey COLING 2020 Continual Relation Learning via Episodic Memory Activation and Reconsolidation ACL 2020 Disentangle-based Continual Graph Representation Learning EMNLP 2020 Distill and Replay for Continual Language Learning COLING 2020 Dynamic Sampling Strategies for Multi-Task Reading Comprehension ACL 2020 Efficient Meta Lifelong-Learning with Limited Memory EMNLP 2020 Few Sample Learning without Data Storage for Lifelong Stream Mining (Student Abstract) AAAI 2020 Findings of the First Shared Task on Lifelong Learning Machine Translation EMNLP 2020 Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks NeurIPS 2020 Functional Regularisation for Continual Learning with Gaussian Processes ICLR 2020 GAN Memory with No Forgetting NeurIPS 2020 Generative Continual Concept Learning AAAI 2020 Improved Schemes for Episodic Memory-based Lifelong Learning NeurIPS 2020 Incremental Learning in Online Scenario CVPR 2020 Incremental Multi-Domain Learning with Network Latent Tensor Factorization AAAI 2020 Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation COLING 2020 iTAML: An Incremental Task-Agnostic Meta-learning Approach CVPR 2020 LAMOL: LAnguage MOdeling for Lifelong Language Learning ICLR 2020 Leakage-Robust Classifier via Mask-Enhanced Training (Student Abstract) AAAI 2020 Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020 Learning to Adapt to Evolving Domains NeurIPS 2020 Lifelong Language Knowledge Distillation EMNLP 2020 Lifelong Learning with a Changing Action Set AAAI 2020 Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting NeurIPS 2020 Lifelong Zero-Shot Learning IJCAI 2020