In the modern digital era, fraud in programmatic advertising has become a multi-billion-dollar challenge, threatening the ...

Nevertheless, prior methods have predominantly centered on supervised learning, which necessitates a reliance on costly labeled datasets. In response to this challenge, graph contrastive learning ...

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This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation ...

School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, P. R. China School of Computer Science, Wuhan University, Wuhan 430072, P. R. China School of Computer ...

An IEEE study introduces a new recommendation model that combines knowledge graphs and contrastive learning to solve cold-start and sparse data issues. The paper, titled “Research on the Application ...