Continual Learning

Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning ICLR 2020 Few Sample Learning without Data Storage for Lifelong Stream Mining (Student Abstract) AAAI 2020 Few-Shot Class-Incremental Learning CVPR 2020 Findings of the First Shared Task on Lifelong Learning Machine Translation EMNLP 2020 Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation AAAI 2020 Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks NeurIPS 2020 FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation CVPR 2020 Forgetting to Learn Logic Programs AAAI 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 Hierarchy-aware Learning of Sequential Tool Usage via Semi-automatically Constructed Taxonomies COLING 2020 Improved Schemes for Episodic Memory-based Lifelong Learning NeurIPS 2020 Incorporating Failure Events in Agents’ Decision Making to Improve User Satisfaction IJCAI 2020 Incremental Event Detection via Knowledge Consolidation Networks EMNLP 2020 Incremental Learning in Online Scenario CVPR 2020 Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition CVPR 2020 Intent Preference Decoupling for User Representation on Online Recommender System IJCAI 2020 Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation COLING 2020 iTAML: An Incremental Task-Agnostic Meta-learning Approach CVPR 2020 Iterative Learning for Reliable Underwater Link Adaptation (Student Abstract) AAAI 2020 Jelly Bean World: A Testbed for Never-Ending Learning ICLR 2020 Just Ask: An Interactive Learning Framework for Vision and Language Navigation AAAI 2020 Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation AAAI 2020 Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020