continual learning

Few-Shot Class-Incremental Learning CVPR 2020 Findings of the First Shared Task on Lifelong Learning Machine Translation EMNLP 2020 Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks NeurIPS 2020 Functional Regularisation for Continual Learning with Gaussian Processes ICLR 2020 GAN Memory with No Forgetting NeurIPS 2020 Generative Continual Concept Learning AAAI 2020 Generative Hybrid Representations for Activity Forecasting With No-Regret Learning CVPR 2020 Improved Schemes for Episodic Memory-based Lifelong Learning NeurIPS 2020 Incremental Learning in Online Scenario CVPR 2020 Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation COLING 2020 Just Ask: An Interactive Learning Framework for Vision and Language Navigation AAAI 2020 Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020 Learning to Adapt to Evolving Domains NeurIPS 2020 Learning to Learn with Feedback and Local Plasticity NeurIPS 2020 Lifelong Language Knowledge Distillation EMNLP 2020 Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting NeurIPS 2020 Look-ahead Meta Learning for Continual Learning NeurIPS 2020 LT3 at SemEval-2020 Task 8: Multi-Modal Multi-Task Learning for Memotion Analysis SemEval 2020 Maintaining Discrimination and Fairness in Class Incremental Learning CVPR 2020 Meta-Consolidation for Continual Learning NeurIPS 2020 Meta-Learning through Hebbian Plasticity in Random Networks NeurIPS 2020 Meta-Learning with Warped Gradient Descent ICLR 2020 Neural Stored-program Memory ICLR 2020 Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning CoRL 2020 Online Continual Learning from Imbalanced Data ICML 2020