Continual Learning

Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks NeurIPS 2020 Continual Learning with Adaptive Weights (CLAW) ICLR 2020 Continual Learning with Bayesian Neural Networks for Non-Stationary Data ICLR 2020 Continual Learning With Extended Kronecker-Factored Approximate Curvature CVPR 2020 Continual learning with hypernetworks ICLR 2020 Continual Learning with Node-Importance based Adaptive Group Sparse Regularization NeurIPS 2020 Continual Lifelong Learning in Natural Language Processing: A Survey COLING 2020 Continual Relation Learning via Episodic Memory Activation and Reconsolidation ACL 2020 Continuous Meta-Learning without Tasks NeurIPS 2020 Coresets via Bilevel Optimization for Continual Learning and Streaming NeurIPS 2020 CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition CVPR 2020 Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey JMLR 2020 Dark Experience for General Continual Learning: a Strong, Simple Baseline NeurIPS 2020 Deep Streaming Label Learning ICML 2020 DeltaGrad: Rapid retraining of machine learning models ICML 2020 Discovering Subsequence Patterns for Next POI Recommendation IJCAI 2020 Disentangle-based Continual Graph Representation Learning EMNLP 2020 Distill and Replay for Continual Language Learning COLING 2020 Dynamic Data Selection for Curriculum Learning via Ability Estimation EMNLP 2020 Dynamic Sampling Strategies for Multi-Task Reading Comprehension ACL 2020 Efficient and Modularized Training on FPGA for Real-time Applications IJCAI 2020 Efficient Meta Lifelong-Learning with Limited Memory EMNLP 2020 Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions ICML 2020 Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models Interspeech 2020 ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding AAAI 2020