Continual Learning

Online Learned Continual Compression with Adaptive Quantization Modules ICML 2020 Online Multitask Learning with Long-Term Memory NeurIPS 2020 Online Structured Meta-learning NeurIPS 2020 On Warm-Starting Neural Network Training NeurIPS 2020 Open Compound Domain Adaptation CVPR 2020 Optimal Continual Learning has Perfect Memory and is NP-hard ICML 2020 Organizing recurrent network dynamics by task-computation to enable continual learning NeurIPS 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 Progressive Memory Banks for Incremental Domain Adaptation ICLR 2020 Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning AISTATS 2020 RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning NeurIPS 2020 Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting EMNLP 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 Robustifying Sequential Neural Processes ICML 2020 Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy L4DC 2020 ScaIL: Classifier Weights Scaling for Class Incremental Learning WACV 2020 Scalable and Order-robust Continual Learning with Additive Parameter Decomposition ICLR 2020 Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation EMNLP 2020 Self-Supervised Deep Visual Odometry With Online Adaptation CVPR 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