追随梦想，实现梦想

continual_learning_papersAwesome-Incremental-Learningawesome-lifelong-continual-learning感谢统计。.....

As an added novelty, the proposed model integrates knowledge distillation and retrospection along with the path selection strategy to overcome catastrophic forgetting.综合 蒸馏 和 数据回放方法来解决灾难性遗忘问题。

Incremental Learning Through Deep Adaptation这篇论文没有体现出 解决了灾难性遗忘问题啊。或者在哪体现了，可以在下方留言。

Variational Continual Learning 讲解视频Variational Continual Learning 论文

连续性学习又称终身学习 增量学习 （lifelong or incremental learning），主要目的是解决网络的灾难性遗忘问题。

CVPR2020Conditional Channel Gated Networks for Task-Aware Continual Learning Continual Learning With Extended Kronecker-Factored Approximate Curvature

Continual learning 学习笔记【持续更新】上面这篇博客介绍的非常详细了。

NIPS 2018 continual learning workshops

Continual Reinforcement Learning with Multi-Timescale Replay连续性学习和强化学习结合在一起。

点我Workshop on Continual Learning in Computer Vision

Conditional Channel Gated Networks for Task-Aware Continual Learning

Three scenarios for continual learning论文代码

DeepMind最新研究解决灾难性遗忘难题

Lifelong Learning in Artificial Neural NetworksACM2019的一篇文章

Random Path Selection for Incremental Learning代码Overcoming Catastrophic Forgetting with Hard Attention to the Task代码

CVPR2019接受文章列表Task-Free Continual LearningLearning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning

神经网络之灾难性遗忘问题利用突触智能实现连续学习|从原理到代码解析Existing approaches can be categorized into three major families based on how the information regarding previous task data is stored and used to mitigate forge...