✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction
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Updated
Feb 10, 2024 - Python
✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction
[TMLR 22] "Queried Unlabeled Data Improves and Robustifies Class- Incremental Learning" by Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Animi, Zhangyang Wang
Official code for "Weighted Ensemble Models Are Strong Continual Learners"
Adaptive Decision Forest(ADF) is an incremental machine learning framework called to produce a decision forest to classify new records. ADF is capable to classify new records even if they are associated with previously unseen classes. ADF also is capable of identifying and handling concept drift; it, however, does not forget previously gained kn…
Official PyTorch Implementation of PuriDivER CVPR 2022.
Official Implementation of the paper "Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation"
The official code for our paper "Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants".
Class Incremental Learning (iCaRL, EEIL, BiC) reproduce github repository.
Simple data and training pipeline for class-incremental method 😄
Code for SCIENTIA SINICA Informationis paper "Generalized representation of local relationships for few-shot incremental learning", 局部关系泛化表征的小样本增量学习
Official Implementation of the ECCV 2022 Paper "Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer"
Official implementation for CIGN
The code repository for "Co-Transport for Class-Incremental Learning" (ACM MM'21) in PyTorch.
Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification
Official Implementation of CVPR 2022 workshop paper "CNLL: A Semi-supervised Approach for Continual Noisy Label Learning"
The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch
ICLR2024 paper on Continual Learning
[AAAI 2022 Oral] Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection
The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.
The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.
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