catastrophic forgetting

Variational Continual Bayesian Meta-Learning NeurIPS 2021 Wanderlust: Online Continual Object Detection in the Real World ICCV 2021 A Combinatorial Perspective on Transfer Learning NeurIPS 2020 ADINet: Attribute Driven Incremental Network for Retinal Image Classification CVPR 2020 A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis EMNLP 2020 An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training EMNLP 2020 A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning ICLR 2020 A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification COLING 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 Class-incremental Learning via Deep Model Consolidation WACV 2020 Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers EMNLP 2020 Compositional Language Continual Learning ICLR 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 Domain Adaptation in Chest X-ray Classification MIDL 2020 Continual Learning for Multi-Dialect Acoustic Models Interspeech 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 of a Mixed Sequence of Similar and Dissimilar Tasks NeurIPS 2020 Continual Learning with Adaptive Weights (CLAW) ICLR 2020 Continual learning with hypernetworks ICLR 2020 Continual Learning with Node-Importance based Adaptive Group Sparse Regularization NeurIPS 2020