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PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
icarl
replay
distillation
deep-learning
generative-models
lifelong-learning
continual-learning
incremental-learning
replay-through-feedback
variational-autoencoder
gradient-episodic-memory
task-incremental-learning
artificial-neural-networks
class-incremental-learning
domain-incremental-learning
elastic-weight-consolidation
Created
2018-09-26
41 commits to master branch, last one 9 months ago
PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)
Created
2020-02-24
74 commits to main branch, last one about a year ago
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 (Neurocomp...
Created
2021-01-29
27 commits to main branch, last one 3 years ago
Class-Incremental Learning: A Survey (TPAMI 2024)
Created
2023-02-07
14 commits to main branch, last one about a month ago
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)
Created
2023-03-13
11 commits to main branch, last one 3 months ago
Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)
Created
2022-03-14
6 commits to main branch, last one about a year ago
a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.
Created
2022-05-22
20 commits to master branch, last one 2 years ago
[ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning"
Created
2023-02-02
4 commits to main branch, last one about a year ago
PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).
Created
2021-04-20
12 commits to main branch, last one about a year ago
The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.
Created
2022-07-18
21 commits to master branch, last one 2 years ago
The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch
Created
2023-02-02
10 commits to main branch, last one about a year ago
The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.
Created
2022-08-18
8 commits to main branch, last one about a year ago
ICLR2024 paper on Continual Learning
Created
2023-12-18
15 commits to main branch, last one 8 months ago
✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction
Created
2023-09-25
16 commits to main branch, last one about a month ago
[ECCV2024] Mitigating Background Shift in Class-Incremental Semantic Segmentation
Created
2024-07-04
2 commits to main branch, last one 4 months ago