PyContinual (An Easy and Extendible Framework for Continual Learning)
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Updated
Jan 29, 2024 - Python
PyContinual (An Easy and Extendible Framework for Continual Learning)
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).
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
Class-Incremental Learning: A Survey (TPAMI 2024)
Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)
An Extensible Continual Learning Framework Focused on Language Models (LMs)
Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)
SupportNet: solving catastrophic forgetting in class incremental learning with support data
Random memory adaptation model inspired by the paper: "Memory-based parameter adaptation (MbPA)"
A PyTorch implementation of the CVPR 2017 publication "Expert Gate: Lifelong Learning with a Network of Experts"
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
[IROS2022] Official repository of InCloud: Incremental Learning for Point Cloud Place Recognition, Published in IROS2022 https://arxiv.org/abs/2203.00807
A PyTorch implementation of the ECCV 2018 publication "Memory Aware Synapses: Learning what (not) to forget"
Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch
Code for ECML/PKDD 2020 Paper --- Continual Learning with Knowledge Transfer for Sentiment Classification
Repository of continual learning papers
The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.
This repository contains code and data of the paper **On the Limitations of Continual Learning for Malware Classification**, accepted to be published at the First Conference on Lifelong Learning Agents (CoLLAs).
Pre-training and Lifelong learning for User Embedding and Recommender System
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