catastrophic forgetting

Supermasks in Superposition NeurIPS 2020 Towards Making the Most of BERT in Neural Machine Translation AAAI 2020 Uncertainty-guided Continual Learning with Bayesian Neural Networks ICLR 2020 Understanding the Role of Training Regimes in Continual Learning NeurIPS 2020 A comprehensive, application-oriented study of catastrophic forgetting in DNNs ICLR 2019 An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models NAACL 2019 An Empirical Study of Example Forgetting during Deep Neural Network Learning ICLR 2019 A Perceptual Prediction Framework for Self Supervised Event Segmentation CVPR 2019 A Progressive Model to Enable Continual Learning for Semantic Slot Filling EMNLP 2019 Closed-Loop Memory GAN for Continual Learning IJCAI 2019 Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay IJCAI 2019 Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation ICCV 2019 Continual Unsupervised Representation Learning NeurIPS 2019 Episodic Memory in Lifelong Language Learning NeurIPS 2019 Experience Replay for Continual Learning NeurIPS 2019 Gradient based sample selection for online continual learning NeurIPS 2019 IL2M: Class Incremental Learning With Dual Memory ICCV 2019 Incremental Learning Using Conditional Adversarial Networks ICCV 2019 Incremental Object Learning From Contiguous Views CVPR 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 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