Abstract: Human activity recognition (HAR) with deep learning models relies on large amounts of labeled data, often challenging to obtain due to associated cost, time, and labor. Self-supervised ...
Abstract: Large Language Models (LLMs) have the potential to greatly enhance the performance of task-oriented semantic communication (TOSC) through their extensive knowledge. However, hallucinations ...
In its research, Microsoft detailed three major signs of a poisoned model. Microsoft's research found that the presence of a backdoor changed depending on where a model puts its attention. "Poisoned ...
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