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Reverse discrimination cases involve claims that nonminority individuals were discriminated against “on the basis of race, or other characteristics or attributes.” A key theory used in recent reverse ...
Abstract: Semi-Supervised Few-Shot Learning (SSFSL) aims to address the data scarcity in few-shot learning by leveraging both a few labeled support data and abundant unlabeled data. In SSFSL, a ...
Abstract: Intrusion detection is critical for securing Military IoT (MIoT) environments, where precision, reliability and rapid response are crucial to safeguarding sensitive operations. This research ...
Stack is a large-scale encoder-decoder foundation model trained on 150 million uniformly-preprocessed single cells. It introduces a novel tabular attention architecture that enables both intra- and ...