Bias Variance

Call for Papers

Transformer-based models have emerged as a cornerstone of modern artificial intelligence (AI), reshaping the landscape of machine learning and driving unprecedented progress in a myriad of tasks. Originating from the domain of natural language processing, transformers have transcended their initial applications to become ubiquitous across diverse fields including anomaly detection, computer vision, speech recognition, recommender systems, question answering, robotics, healthcare, education, and more. The impact of transformer models extends far beyond their technical intricacies. For instance, advanced transformers have been successfully applied to multimodal learning tasks, where they can seamlessly integrate information from different modalities such as text, images, audio, and video. This ability opens up new avenues for research in areas like visual question answering, image captioning, and video understanding.

https://dl.acm.org/pb-assets/static_journal_pages/tist/pdf/ACM-TIST-CFP-SI-Transformers.pdf

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#اطلاع_رسانی
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پشتیبانی | کانال | سایت | اینستاگرام | آپارات

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259 viewsAug 10 at 15:19

Call for Papers

Transformer-based models have emerged as a cornerstone of modern artificial intelligence (AI), reshaping the landscape of machine learning and driving unprecedented progress in a myriad of tasks. Originating from the domain of natural language processing, transformers have transcended their initial applications to become ubiquitous across diverse fields including anomaly detection, computer vision, speech recognition, recommender systems, question answering, robotics, healthcare, education, and more. The impact of transformer models extends far beyond their technical intricacies. For instance, advanced transformers have been successfully applied to multimodal learning tasks, where they can seamlessly integrate information from different modalities such as text, images, audio, and video. This ability opens up new avenues for research in areas like visual question answering, image captioning, and video understanding.

https://dl.acm.org/pb-assets/static_journal_pages/tist/pdf/ACM-TIST-CFP-SI-Transformers.pdf

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#اطلاع_رسانی
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پشتیبانی | کانال | سایت | اینستاگرام | آپارات

BY Bias Variance