Lifelong Learning with Dynamically Expandable Networks https://github.com/jaehong-yoon93/DEN
【用PyTorch实现主动迁移学习】 https://pan.baidu.com/s/1tl4MimAuuG0sNwHMmh5tOg
【在线学习课程资料】’2020-Online-Learning - 2020 course on Online learning' https://github.com/yoavfreund/2020-Online-Learning
主动学习，以及为什么数据并非“生来平等”——用更少但更精细的数据构建更好的机器学习模型 https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Fnews.voyage.auto%2Factive-learning-and-why-not-all-data-is-created-equal-8a43a758c6f9
https://github.com/ravi-teja-mullapudi/JITNet-online-distillation
Implementation of Online Normalization for Training Neural Networks. https://github.com/Cerebras/online-normalization
Codebase for "Online Continual Learning with Maximally Interfered Retrieval" https://github.com/optimass/Maximally_Interfered_Retrieval
Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019
https://github.com/LTTM/IL-SemSegm
Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning" https://github.com/ElementAI/osaka