An Incremental Learning, Continual Learning, and Life-Long Learning Repository
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Updated
Apr 21, 2024
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).
PyContinual (An Easy and Extendible Framework for Continual Learning)
An Extensible Continual Learning Framework Focused on Language Models (LMs)
The code repository for "Deep Class-Incremental Learning: A Survey" in PyTorch.
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.
The code repository for "Forward Compatible Few-Shot Class-Incremental Learning" (CVPR'22) in PyTorch.
The code repository for "Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need" in PyTorch.
Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)
Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019
Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch
A PyTorch implementation of the ECCV 2018 publication "Memory Aware Synapses: Learning what (not) to forget"
Pre-training and Lifelong learning for User Embedding and Recommender System
[EMNLP 2022] Continual Training of Language Models for Few-Shot Learning
Repository of continual learning papers
The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch
[IROS2022] Official repository of InCloud: Incremental Learning for Point Cloud Place Recognition, Published in IROS2022 https://arxiv.org/abs/2203.00807
The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.
A PyTorch implementation of the CVPR 2017 publication "Expert Gate: Lifelong Learning with a Network of Experts"
SupportNet: solving catastrophic forgetting in class incremental learning with support data
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