• Online Continual Learning in Image Classification: An Empirical Survey (arXiv 2020) [paper]
• Continual Lifelong Learning in Natural Language Processing: A Survey (COLING 2020)[paper]
• Class-incremental learning: survey and performance evaluation (arXiv 2020) [paper][code]
• A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks (Neural Networks) [paper][code]
• A continual learning survey: Defying forgetting in classification tasks (TPAMI 2021) [paper]
• Continual Lifelong Learning with Neural Networks: A Review (Neural Networks) [paper]
• Three scenarios for continual learning (arXiv 2019) [paper][code]

• Continuous Coordination As a Realistic Scenario for Lifelong Learning (ICML, 2021)

• Continual Learning with Deep Generative Replay (NIPS2017) [paper] [code]
• Exemplar-Supported Generative Reproduction for Class Incremental Learning (BMVC2018) [paper] [code]
• Memory Replay GANs: learning to generate images from new categories without forgetting (NIPS2018) [paper] [code]
• Lifelong GAN: Continual Learning for Conditional Image Generation (ICCV2019) [paper]
• Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation (ECCV2020) [paper]
• Dark Experience for General Continual Learning: a Strong, Simple Baseline (NeurIPS2020) [paper] [code]
• Continual Learning for Natural Language Generation in Task-oriented Dialog Systems(EMNLP, 2020) [paper]
• Efficient Feature Transformations for Discriminative and Generative Continual Learning (CVPR, 2021) [paper]
• Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation (CVPR, 2021) [paper]

• Learning without forgetting | ECCV 2016 | [paper] [code]
• End-to-end incremental learning. | ECCV 2018 | [paper] [code]
• icarl incremental classifier and representation learning | NIPS 2017 | [paper][code]
• Lifelong learning via progressive distillation and retrospection. | ECCV 2018 | [paper]
• Overcoming catastrophic forgetting with unlabeled data in the wild. [paper]
• Large scale incremental learning. | CVPR 2019| [paper]
• The effectiveness of memory replay in large scale continual learning.
• Learning a unified classifier incrementally via rebalancing. |CVPR 2019| [paper]

• RECALL: Replay-based Continual Learning in Semantic Segmentation (ICCV, 2021)
• Few-Shot and Continual Learning with Attentive Independent Mechanisms (ICCV, 2021)
• Towards Open World Object Detection (CVPR, 2021)
• Prototype Augmentation and Self-Supervision for Incremental Learning (CVPR, 2021)
• Incremental Learning via Rate Reduction (CVPR, 2021)
• IIRC: Incremental Implicitly-Refined Classification (CVPR, 2021)

• Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks (NAACL, 2021)
• Continual Learning for Text Classification with Information Disentanglement Based Regularization (NAACL, 2021)
• Continual Learning for Natural Language Generation in Task-oriented Dialog Systems(EMNLP, 2020)

• Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning [paper][code]
• ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning (CVPR, 2021)
• Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning (CVPR, 2021)

[1] https://github.com/xialeiliu/Awesome-Incremental-Learning [2] https://github.com/prprbr/awesome-lifelong-continual-learning