RaptorMai/online-continual-learning
PyTorch implementations of online continual learning algorithms for combating catastrophic forgetting in image classification.

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This repository provides official PyTorch implementations of online class-incremental continual learning methods including Adversarial Shapley Value Experience Replay (ASER) and Supervised Contrastive Replay (SCR). The project includes benchmark datasets such as Split CIFAR10/100, CORe50, and Mini-ImageNet, along with additional continual learning baselines like EWC++ and Memory-Aware Synapses for comparative evaluation.