An Adaptive Random Path Selection Approach for Incremental Learning

3 Jun 2019Jathushan RajasegaranMunawar HayatSalman KhanFahad Shahbaz KhanLing ShaoMing-Hsuan Yang

In a conventional supervised learning setting, a machine learning model has access to examples of all object classes that are desired to be recognized during the inference stage. This results in a fixed model that lacks the flexibility to adapt to new learning tasks... (read more)

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