Incremental Embedding Learning With Disentangled Representation Translation.
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DOI: 10.1109/tnnls.2022.3199816
Abstract: Humans are capable of accumulating knowledge by sequentially learning different tasks, while neural networks fail to achieve this due to catastrophic forgetting problems. Most current incremental learning methods focus more on tackling catastrophic forgetting for… read more here.
Keywords: disentangled representation; representation translation; catastrophic forgetting; embedding networks ... See more keywords