https://www.selleckchem.com/pr....oducts/17-AAG(Geldan
This minimax regime is well matched with the core idea of adversarial learning, empowering our model with transferability as well as discriminability for domain adaptation tasks. Also, AEO is flexible and compatible with different deep networks and domain adaptation frameworks. Experiments on five data sets show that our method can achieve state-of-the-art performance across diverse domain adaptation tasks.With the memory-resource-limited constraints, class-incremental learning (CIL) usually suffers from the ``catastrophic
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