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Polarity is all you need to learn and transfer faster
In contrast, Artificial intelligences (AIs) typically learn with prohibitive amount of training samples and computational power.
Towards Robust Recommender Systems via Triple Cooperative Defense
Notably, TCD adds pseudo label data instead of deleting abnormal data, which avoids the cleaning of normal data, and the cooperative training of the three models is also beneficial to model generalization.
Why do networks have inhibitory/negative connections?
Our answer to why there are inhibitory/negative weights is: to learn more functions.
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