unsupervised class-incremental learning
2 papers with code • 0 benchmarks • 0 datasets
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Most implemented papers
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery
Existing methods for novel category discovery are limited by their reliance on labeled datasets and prior knowledge about the number of novel categories and the proportion of novel samples in the batch.
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
In the second phase, we combine this new knowledge with the previous network in an adaptation-retrospection phase to avoid forgetting and initialize a new expert with the knowledge of the old network.