continual learning

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 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 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 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 Supermasks in Superposition NeurIPS 2020 The Ingredients of Real World Robotic Reinforcement Learning ICLR 2020 Training Binary Neural Networks using the Bayesian Learning Rule ICML 2020 Uncertainty-guided Continual Learning with Bayesian Neural Networks ICLR 2020 Understanding the Role of Training Regimes in Continual Learning NeurIPS 2020 Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem CVPR 2020 Visually Grounded Continual Learning of Compositional Phrases EMNLP 2020 ACE: Adapting to Changing Environments for Semantic Segmentation ICCV 2019 A comprehensive, application-oriented study of catastrophic forgetting in DNNs ICLR 2019 AMP: Adaptive Masked Proxies for Few-Shot Segmentation ICCV 2019