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Found 3 papers, 1 papers with code
Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps
The major challenge that makes crafting such a system difficult is known as catastrophic forgetting - an agent, such as one based on artificial neural networks (ANNs), struggles to retain previously acquired knowledge when learning from new samples.
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay
A lifelong learning agent is able to continually learn from potentially infinite streams of pattern sensory data.
Stream-51: Streaming Classification and Novelty Detection from Videos
In this work, we introduce Stream-51, a new dataset for streaming classification consisting of temporally correlated images from 51 distinct object categories and additional evaluation classes outside of the training distribution to test novelty recognition.
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