Continual Learning

Learning to Adapt to Evolving Domains NeurIPS 2020 Learning to Interactively Learn and Assist AAAI 2020 Learning to Learn with Feedback and Local Plasticity NeurIPS 2020 Learning to Segment the Tail CVPR 2020 Learning with Feature and Distribution Evolvable Streams ICML 2020 Lifelong Language Knowledge Distillation EMNLP 2020 Lifelong Learning with a Changing Action Set AAAI 2020 Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting NeurIPS 2020 Lifelong Spectral Clustering AAAI 2020 Lifelong Zero-Shot Learning IJCAI 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 Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition CVPR 2020 Memory Augmented Neural Model for Incremental Session-based Recommendation IJCAI 2020 Meta-Consolidation for Continual Learning NeurIPS 2020 Meta-Learning through Hebbian Plasticity in Random Networks 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 One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL NeurIPS 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