Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome-Incremental-Learning

Awesome Incremental Learning
https://github.com/xialeiliu/Awesome-Incremental-Learning

[paper - ML-Lab/llm-continual-learning-survey)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - continual-learning)]
[paper
[paper
[paper - incremental-learning/tree/master/cil)]
[paper
[paper
[paper - learning)]
[paper
[paper - hailong/CVPR24-Ease)]
[paper - AGI/PriViLege))]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - ml/pec)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - alfred)]
[paper
[paper
[paper - SNN)]
[paper
[paper
[paper
[paper
[paper
[paper - gradient-projection)]
[paper
[paper
[paper - XJTU/EvoPrompt)]
[paper
[paper
[paper
[paper
[paper - teacher-adaptation)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - ML-Lab/unified-continual-learning)]
[paper - for-incremental-learning-NeurIPS-2023)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - gyuhak/CLOOD)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - model-composition)]
[paper
[paper
[paper - VQ.git)]
[paper
[paper
[paper
[paper
[paper - blurry)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - CIL_ICCV2023)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - wise-Lightweight-Reprogramming)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - liu/CL-DETR)]
[paper
[paper - RIPL/CODA-Prompt)]
[paper
[paper - CIL)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - models-in-CL)]
[paper - Lab/SCoMMER)]
[paper
[paper
[paper
[paper - NLP/Incremental_Prompting)]
[paper
[paper
[paper
[paper
[paper - gyuhak/WPTP)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - USC/CLiMB)]
[paper - mixing-times)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - research/l2p)]
[paper
[paper
[paper
[paper
[paper - pour/Dynamic-Sparse-Distributed-Memory)]
[paper
[paper - arjun/CSCCT)]
[paper - U-N/ECCV22-FOSTER)]
[paper
[paper - dfcil)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - Liu-Lab/CPT)]
[paper
[paper
[paper
[paper - zdw/TPAMI-Limit)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - vipa/MEAT-TIL)]
[paper - research/l2p)]
[paper
[paper
[paper
[paper - Shi/CwD)]
[paper - zdw/CVPR22-Fact)]
[paper
[paper
[paper
[paper
[paper - gyuhak/MORE)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - Non-Co-occurrence)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - OZg)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - continual-learning)]
[paper
[paper
[paper
[paper - inha/Split-and-Bridge)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - Continual-Learning)]
[paper - hayes/REMIND)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - IL)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - liu/mnemonics)]
[paper
[paper
[paper - inspired-replay)]
[paper - neurobotics-lab/ANML)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper
[paper - Continual-Learning)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper - Memory-Aware-Synapses)]
[paper
[paper
[paper
[paper
[paper
[paper
[paper - catastrophic)] [[code](https://github.com/stokesj/EWC)]
[paper - lab/pathint)]
[paper
[paper
[paper - deep-generative-replay)]
[paper
[paper
[paper
[paper
An Open Community of Researchers and Enthusiasts on Continual/Lifelong Learning for AI
4th Lifelong Learning Workshop at ICML 2020
Workshop on Continual Learning at ICML 2020
Continual Learning in Computer Vision Workshop CVPR 2020
Continual learning workshop NeurIPS 2018
1st Lifelong Learning for Machine Translation Shared Task at WMT20 (EMNLP 2020)
Continual Learning in Computer Vision Challenge CVPR 2020
Lifelong Robotic Vision Challenge IROS 2019