catastrophic-forgetting

There are 68 repositories under catastrophic-forgetting topic.

  • Vision-Intelligence-and-Robots-Group/Best-Incremental-Learning

    An Incremental Learning, Continual Learning, and Life-Long Learning Repository

    564192250

  • RaptorMai/online-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).

    Language:Python39272357

  • ZixuanKe/PyContinual

    PyContinual (An Easy and Extendible Framework for Continual Learning)

    Language:Python30582462

  • UIC-Liu-Lab/ContinualLM

    An Extensible Continual Learning Framework Focused on Language Models (LMs)

    Language:Python263111119

  • EnnengYang/Awesome-Forgetting-in-Deep-Learning

    A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.

    2608011

  • zhoudw-zdw/CIL_Survey

    Class-Incremental Learning: A Survey (TPAMI 2024)

    Language:Python2277824

  • zhoudw-zdw/RevisitingCIL

    Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)

    Language:Python13031021

  • zhoudw-zdw/CVPR22-Fact

    Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)

    Language:Python1211023

  • imirzadeh/stable-continual-learning

    Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)

    Language:Python756511

  • LTTM/IL-SemSegm

    Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019

    Language:Python59642

  • h3lio5/episodic-lifelong-learning

    Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch

    Language:Python57448

  • wannabeOG/MAS-PyTorch

    A PyTorch implementation of the ECCV 2018 publication "Memory Aware Synapses: Learning what (not) to forget"

    Language:Python57558

  • fajieyuan/SIGIR2021_Conure

    Pre-training and Lifelong learning for User Embedding and Recommender System

    Language:Python44215

  • UIC-Liu-Lab/CPT

    [EMNLP 2022] Continual Training of Language Models for Few-Shot Learning

    Language:Python44721

  • iboing/CorDA

    CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)

    Language:Python41311

  • wangkiw/ICLR23-MEMO

    The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch

    Language:Python41123

  • csiro-robotics/InCloud

    [IROS2022] Official repository of InCloud: Incremental Learning for Point Cloud Place Recognition, Published in IROS2022 https://arxiv.org/abs/2203.00807

    Language:Python40568

  • mccaffary/continual-learning

    Repository of continual learning papers

    Language:TeX39617

  • MNoorFawi/curlora

    The code repository for the CURLoRA research paper. Stable LLM continual fine-tuning and catastrophic forgetting mitigation.

    Language:Jupyter Notebook39311

  • wannabeOG/ExpertNet-Pytorch

    A PyTorch implementation of the CVPR 2017 publication "Expert Gate: Lifelong Learning with a Network of Experts"

    Language:Python374010

  • zhoudw-zdw/TPAMI-Limit

    The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.

    Language:Python35206

  • liyu95/SupportNet

    SupportNet: solving catastrophic forgetting in class incremental learning with support data

    Language:Jupyter Notebook345911
  • OnDA

    theo2021/OnDA

    Source code for "Online Unsupervised Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions", ECCV 2022. This is the code has been implemented to perform training and evaluation of UDA approaches in continuous scenarios. The library has been implemented in PyTorch 1.7.1. Some newer versions should work as well.

    Language:Python28542

  • ZixuanKe/LifelongSentClass

    Code for ECML/PKDD 2020 Paper --- Continual Learning with Knowledge Transfer for Sentiment Classification

    Language:Python25338

  • Zeta36/random-memory-adaptation

    Random memory adaptation model inspired by the paper: "Memory-based parameter adaptation (MbPA)"

    Language:Python245210

  • fajieyuan/universal_user_representation

    papers of universal user representation learning for recommendation

    22301

  • ZixuanKe/CAT

    Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks

    Language:Python21134

  • ema-marconato/NeSy-CL

    Codebase for Neuro-Symbolic Continual Learning.

    Language:Python20122

  • rezaakb/peft-vit

    Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting

    Language:Python20022

  • OpenMatch/ANCE-Tele

    Code and data of the EMNLP 2022 Main Conference paper "Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives".

    Language:Python18231

  • srvCodes/clap4clip

    Code for our NeurIPS´24 paper

    Language:Python17200

  • msrocean/continual-learning-malware

    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).

    Language:Python15116

  • thuyngch/Overcoming-Catastrophic-Forgetting

    An implementation of the paper "Overcoming catastrophic forgetting in neural networks" (DeepMind, 2016), using Pytorch framework.

    Language:Python15331

  • zhoudw-zdw/MM21-Coil

    The code repository for "Co-Transport for Class-Incremental Learning" (ACM MM'21) in PyTorch.

    Language:Python12201

  • DeepLearnXMU/SSR

    Code for "Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal" (ACL 2024)

    Language:Python11610

  • qlan3/MeDQN

    The official implementation of Memory-efficient DQN algorithm.

    Language:Python10301