catastrophic-forgetting

There are 2 repositories under catastrophic-forgetting topic.

Vision-Intelligence-and-Robots-Group / Best-Incremental-Learning
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
incremental-learning continual-learning continuous-learning lifelong-learning catastrophic-forgetting
489
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).
continual-learning computer-vision deep-learning convolutional-neural-networks lifelong-learning incremental-learning catastrophic-forgetting online-continual-learning incremental-continual-learning class-incremental-learning
Language:Python 354
ZixuanKe / PyContinual
PyContinual (An Easy and Extendible Framework for Continual Learning)
continual-learning natural-language-processing catastrophic-forgetting knowledge-transfer capsule-network attention-mechanism text-classification transfer-learning transformer-architecture
Language:Python 274
UIC-Liu-Lab / ContinualLM
An Extensible Continual Learning Framework Focused on Language Models (LMs)
catastrophic-forgetting continual-learning knowledge-transfer language-model domain-adaptive-pretraining transfer-learning transformer-architecture natural-language-processing language-modeling
Language:Python 206
zhoudw-zdw / CIL_Survey
The code repository for "Deep Class-Incremental Learning: A Survey" in PyTorch.
catastrophic-forgetting class-incremental-learning continual-learning lifelong-learning
Language:Python 172
EnnengYang / Awesome-Forgetting-in-Deep-Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.
catastrophic-forgetting continual-learning domain-adaptation federated-learning forgetting generative-model machine-learning machine-unlearning meta-learning model-inversion-attacks reinforcement-learning self-supervised-learning data-free-knolwedge-distillation membership-inference-attacks overfitting model-attacks property-inference-attacks beneficial-forgetting coreset-selection deep-learning
139
zhoudw-zdw / CVPR22-Fact
The code repository for "Forward Compatible Few-Shot Class-Incremental Learning" (CVPR'22) in PyTorch.
catastrophic-forgetting class-incremental-learning continual-learning few-shot-class-incremental-learning lifelong-learning
Language:Python 103
zhoudw-zdw / RevisitingCIL
The code repository for "Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need" in PyTorch.
catastrophic-forgetting class-incremental-learning continual-learning incremental-learning lifelong-learning
Language:Python 90
imirzadeh / stable-continual-learning
Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)
catastrophic-forgetting continual-learning deep-learning lifelong-learning pytorch
Language:Python 74
LTTM / IL-SemSegm
Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019
incremental-learning semantic-segmentation catastrophic-forgetting knowledge-distillation
Language:Python 57
h3lio5 / episodic-lifelong-learning
Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch
deep-learning natural-language-processing lifelong-learning continual-learning catastrophic-forgetting pytorch nips-paper nips-2019 experience-replay
Language:Python 56
wannabeOG / MAS-PyTorch
A PyTorch implementation of the ECCV 2018 publication "Memory Aware Synapses: Learning what (not) to forget"
lifelong-learning pytorch incremental-learning eccv-2018 catastrophic-forgetting
Language:Python 54
fajieyuan / SIGIR2021_Conure
Pre-training and Lifelong learning for User Embedding and Recommender System
lifelong-learning continual-learning transfer-learning user-representation user-profile catastrophic-forgetting lifelong-machine-learning universal-representation self-supervised-learning pre-training general-purpose foundation-model one-for-all universal-recommender
Language:Python 42
UIC-Liu-Lab / CPT
[EMNLP 2022] Continual Training of Language Models for Few-Shot Learning
continual-learning few-shot-learning language-modeling natural-language-processing post-training catastrophic-forgetting transformers nlp
Language:Python 39
mccaffary / continual-learning
Repository of continual learning papers
machine-learning deep-learning neuroscience continual-learning catastrophic-forgetting
Language:TeX 38
wangkiw / ICLR23-MEMO
The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch
catastrophic-forgetting class-incremental-learning continual-learning incremental-learning lifelong-learning pytorch
Language:Python 37
csiro-robotics / InCloud
[IROS2022] Official repository of InCloud: Incremental Learning for Point Cloud Place Recognition, Published in IROS2022 https://arxiv.org/abs/2203.00807
catastrophic-forgetting continual-learning deep-learning incremental-learning lidar lidar-point-cloud lifelong-learning place-recognition pytorch
Language:Python 35
liyu95 / SupportNet
SupportNet: solving catastrophic forgetting in class incremental learning with support data
deep-learning catastrophic-forgetting incremental-learning
Language:Jupyter Notebook 33
wannabeOG / ExpertNet-Pytorch
A PyTorch implementation of the CVPR 2017 publication "Expert Gate: Lifelong Learning with a Network of Experts"
pytorch lifelong-learning cvpr-2017 autoencoder catastrophic-forgetting multi-head expert-gate
Language:Python 33
zhoudw-zdw / TPAMI-Limit
The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.
catastrophic-forgetting class-incremental-learning few-shot-class-incremental-learning
Language:Python 32
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.
catastrophic-forgetting domain-adaptation machine-learning ml online-adaptation online-learning pytorch unsupervised-domain-adaptation
Language:Python 26
Zeta36 / random-memory-adaptation
Random memory adaptation model inspired by the paper: "Memory-based parameter adaptation (MbPA)"
tensorflow memory-network mbpa catastrophic-forgetting continual-learning
Language:Python 24
ZixuanKe / LifelongSentClass
Code for ECML/PKDD 2020 Paper --- Continual Learning with Knowledge Transfer for Sentiment Classification
catastrophic-forgetting continual-learning ecml-pkdd-2020 knowledge-transfer sentiment-classification
Language:Python 24
ZixuanKe / CAT
Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
catastrophic-forgetting continual-learning knowledge-transfer mixed-sequences neurips-2020
Language:Python 21
fajieyuan / universal_user_representation
papers of universal user representation learning for recommendation
user-representation pre-training transfer transfer-learning lifelong-learning user-modeling user-profiling item-recommendation recommender-system continual-learning catastrophic-forgetting pruning trimming general-purpose representation-learning cold-start transformer bert cross-domain-recommendation multi-domain-recommendation
20
OpenMatch / ANCE-Tele
Code and data of the EMNLP 2022 Main Conference paper "Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives".
catastrophic-forgetting dense-retrieval hard-negative-mining training-stability information-retrieval
Language:Python 18
ema-marconato / NeSy-CL
Codebase for Neuro-Symbolic Continual Learning.
catastrophic-forgetting concepts continual-learning deep-learning neuro-symbolic shortcuts
Language:Python 14
thuyngch / Overcoming-Catastrophic-Forgetting
An implementation of the paper "Overcoming catastrophic forgetting in neural networks" (DeepMind, 2016), using Pytorch framework.
neural-network catastrophic-forgetting supervised-learning pytorch
Language:Python 14
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).
catastrophic-forgetting continual-learning malware-analysis malware-research
Language:Python 12
zhoudw-zdw / MM21-Coil
The code repository for "Co-Transport for Class-Incremental Learning" (ACM MM'21) in PyTorch.
catastrophic-forgetting class-incremental-learning continual-learning lifelong-learning
Language:Python 12
lshug / Continual-Keras
Keras-based framework for implementing continual learning methods.
continual-learning keras ewc deep-learning lifelong-learning lifelong-ml catastrophic-forgetting
Language:Python 9
qlan3 / MeDQN
The official implementation of MeDQN algorithm.
atari atari-games catastrophic-forgetting consolidation continual-learning deep-reinforcement-learning distillation memory-efficiency memory-efficient reinforcement-learning reinforcement-learning-algorithms continual-reinforcement-learning interference
Language:Python 9
GhadaSokar / SpaceNet
Implementation for the paper "SpaceNet: Make Free Space For Continual Learning" in PyTorch.
sparse-representations sparse-neural-networks sparse-training continual-learning life-long-learning incremental-learning catastrophic-forgetting brain-inspired deep-learning deep-neural-networks
Language:Python 8
Pervasive-AI-Lab / ContinualLearning-EchoStateNetworks
Continual Learning with Echo State Networks experiments
continual-learning lifelong-learning echo-state-networks recurrent-neural-networks catastrophic-forgetting
Language:Python 8
cjbayron / clem.pytorch
Continual Learning methods using Episodic Memory (CLEM) in PyTorch
continual-learning pytorch episodic-memory incremental-learning catastrophic-forgetting online-learning
Language:Jupyter Notebook 5
gauravaror / catastrophic_forgetting
This is repository contains code for experiment to evaluate catastrophic forgetting in neural networks.
catastrophic-forgetting forgetting neural-networks allennlp nlp nlp-machine-learning transfer-learning empirical-research
Language:Python 5

catastrophic-forgetting

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

RaptorMai / online-continual-learning

ZixuanKe / PyContinual

UIC-Liu-Lab / ContinualLM

zhoudw-zdw / CIL_Survey

EnnengYang / Awesome-Forgetting-in-Deep-Learning

zhoudw-zdw / CVPR22-Fact

zhoudw-zdw / RevisitingCIL

imirzadeh / stable-continual-learning

LTTM / IL-SemSegm

h3lio5 / episodic-lifelong-learning

wannabeOG / MAS-PyTorch

fajieyuan / SIGIR2021_Conure

UIC-Liu-Lab / CPT

mccaffary / continual-learning

wangkiw / ICLR23-MEMO

csiro-robotics / InCloud

liyu95 / SupportNet

wannabeOG / ExpertNet-Pytorch

zhoudw-zdw / TPAMI-Limit

theo2021 / OnDA

Zeta36 / random-memory-adaptation

ZixuanKe / LifelongSentClass

ZixuanKe / CAT

fajieyuan / universal_user_representation

OpenMatch / ANCE-Tele

ema-marconato / NeSy-CL

thuyngch / Overcoming-Catastrophic-Forgetting

msrocean / continual-learning-malware

zhoudw-zdw / MM21-Coil

lshug / Continual-Keras

qlan3 / MeDQN

GhadaSokar / SpaceNet

Pervasive-AI-Lab / ContinualLearning-EchoStateNetworks

cjbayron / clem.pytorch

gauravaror / catastrophic_forgetting