catastrophic forgetting

Look-ahead Meta Learning for Continual Learning NeurIPS 2020 Maintaining Discrimination and Fairness in Class Incremental Learning CVPR 2020 Memory Augmented Neural Model for Incremental Session-based Recommendation IJCAI 2020 Meta-Consolidation for Continual Learning NeurIPS 2020 Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization NeurIPS 2020 Mnemonics Training: Multi-Class Incremental Learning Without Forgetting CVPR 2020 Modeling the Background for Incremental Learning in Semantic Segmentation CVPR 2020 Neural Topic Modeling with Continual Lifelong Learning ICML 2020 Online Continual Learning from Imbalanced Data ICML 2020 Online Depth Learning Against Forgetting in Monocular Videos CVPR 2020 Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning NeurIPS 2020 Optimal Continual Learning has Perfect Memory and is NP-hard ICML 2020 Orthogonal Gradient Descent for Continual Learning AISTATS 2020 Overcoming Catastrophic Forgetting by Neuron-Level Plasticity Control AAAI 2020 Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization CVPR 2020 Proximal Distilled Evolutionary Reinforcement Learning AAAI 2020 RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning NeurIPS 2020 Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking CVPR 2020 Regularize, Expand and Compress: NonExpansive Continual Learning WACV 2020 Residual Continual Learning AAAI 2020 Scalable and Order-robust Continual Learning with Additive Parameter Decomposition ICLR 2020 Semantic Drift Compensation for Class-Incremental Learning CVPR 2020 Sequential Mastery of Multiple Visual Tasks: Networks Naturally Learn to Learn and Forget to Forget CVPR 2020 SERIL: Noise Adaptive Speech Enhancement Using Regularization-Based Incremental Learning Interspeech 2020 Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations ICLR 2020