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The experimental results demonstrate a significant improvement in neural network adversarial robustness achieved by MAE-MACD across CIFAR-10, CIFAR-100, and Tiny ImageNet, along with a reduced need ...
Close examination of the implementation of MCNN as well as how the proposed algorithm accelerates learning are discussed and demonstrated through experiments. Results reveal high classification ...
Recent self-supervised contrastive learning methods greatly benefit from the Siamese structure that aims at minimizing distances between positive pairs. For high performance Siamese representation ...
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives Official PyTorch implementation of the AAAI 2022 paper Ranking Info Noise Contrastive Estimation: Boosting ...