#

catastrophic-forgetting

Here are 67 public repositories matching this topic...

grypesc / AdaGauss

2024 Neurips paper on Continual Learning and Class Incremental Learning

machine-learning machinelearning facil lifelong-learning continual-learning catastrophic-forgetting lifelong-machine-learning class-incremental-learning class-incremental

Updated Oct 9, 2024
Python

EnnengYang / Awesome-Forgetting-in-Deep-Learning

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.

machine-learning reinforcement-learning deep-learning generative-model domain-adaptation meta-learning overfitting machine-unlearning federated-learning continual-learning catastrophic-forgetting self-supervised-learning model-inversion-attacks forgetting membership-inference-attacks coreset-selection data-free-knolwedge-distillation property-inference-attacks model-attacks beneficial-forgetting

Updated Oct 9, 2024

srvCodes / clap4clip

bayesian-inference variational-inference continual-learning catastrophic-forgetting vision-language-model

Updated Sep 28, 2024
Python

iboing / CorDA

CorDA: Context-Oriented Decomposition Adaptation of Large Language Models (NeurIPS 2024)

catastrophic-forgetting large-language-models parameter-efficient-fine-tuning world-knowledge

Updated Sep 23, 2024
Python

libo-huang / Awesome-Incremental-Generative-Learning

Awesome Incremental / Continual / Lifelong Generative Learning

generative-model incremental-learning continual-learning catastrophic-forgetting lifelong-machine-learning

Updated Sep 22, 2024

DeepLearnXMU / SSR

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

continual-learning catastrophic-forgetting rehearsal llm

Updated Sep 18, 2024
Python

thomas-bouvier / neomem

Rehearsal backend focused on performance, written in C++

continual-learning catastrophic-forgetting rehearsal experience-replay

Updated Sep 29, 2024
C++

MNoorFawi / curlora

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

ai matrix-decompositions fine-tuning continual-learning catastrophic-forgetting llms generative-ai

Updated Aug 28, 2024
Jupyter Notebook

zhoudw-zdw / RevisitingCIL

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

incremental-learning lifelong-learning continual-learning catastrophic-forgetting class-incremental-learning

Updated Aug 25, 2024
Python

libo-huang / eTag

[AAAI-2024] Official implementation of "eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation"

incremental-learning lifelong-learning continual-learning catastrophic-forgetting aaai2024

Updated Jul 19, 2024
Python

zhoudw-zdw / CIL_Survey

Class-Incremental Learning: A Survey (TPAMI 2024)

lifelong-learning continual-learning catastrophic-forgetting class-incremental-learning

Updated Jul 12, 2024
Python

rezaakb / peft-vit

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

self-supervised peft catastrophic-forgetting vision-transformer

Updated Jun 18, 2024
Python

csiro-robotics / CL3

[J. Imaging 2023] The official repository for paper CL3: Generalization of Contrastive Loss for Lifelong Learning J. Imaging 2023, 9(12), 259; https://doi.org/10.3390/jimaging9120259

deep-learning incremental-learning cifar100 lifelong-learning continual-learning catastrophic-forgetting contrastive-learning

Updated Jun 18, 2024
Python

csiro-robotics / SDCL

[Neural Networks 2023] The official repository of Neural Networks Journal "Subspace Distillation for Continual Learning"

incremental-learning lifelong-learning continual-learning catastrophic-forgetting continual-semantic-segmentation

Updated Jun 18, 2024
Python

oswaldoludwig / CLASSP

A Biologically-Inspired Approach to Continual Learning through Adjustment Suppression and Sparsity Promotion

python optimizer pytorch mnist fashion-mnist continual-learning catastrophic-forgetting sparcity classp

Updated Jun 12, 2024
Python

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.

machine-learning ml pytorch online-learning domain-adaptation catastrophic-forgetting unsupervised-domain-adaptation online-adaptation

Updated Jun 11, 2024
Python

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

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

incremental-learning continuous-learning lifelong-learning continual-learning catastrophic-forgetting

Updated May 11, 2024

csiro-robotics / L3DMC

🤖[MICCAI 2023] The official repository for paper "L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space"

deeplearning incremental-learning lifelong-learning distillation continual-learning catastrophic-forgetting

Updated Mar 26, 2024
Python

OpenMatch / ANCE-Tele

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

information-retrieval catastrophic-forgetting hard-negative-mining dense-retrieval training-stability

Updated Mar 25, 2024
Python

fajieyuan / SIGIR2021_Conure

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

user-profile transfer-learning general-purpose lifelong-learning user-representation universal-recommender continual-learning catastrophic-forgetting self-supervised-learning one-for-all pre-training lifelong-machine-learning universal-representation foundation-model

Updated Mar 15, 2024
Python

Improve this page

Add a description, image, and links to the catastrophic-forgetting topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the catastrophic-forgetting topic, visit your repo's landing page and select "manage topics."