Abstract: State-of-the-art deep learning models are often trained with a large amount of costly labeled training data. However, requiring exhaustive manual annotations may degrade the model's ...

The authors present a new model DRNET that learns disentangled image representations from video. They utilise a novel adversarial loss to learn a representation that factorizes each frame into a ...

Abstract: Dear Editor, Any fault of a battery system that is not handled timely can cause catastrophic consequences. Therefore, it is significant to diagnose battery faults early and accurately. Due ...

[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017. A curated list of the most cited deep learning papers ...

In this study, we are employing the unsupervised learning techniques to analyze and interpret pressure changes that occur ahead of the drill bit. By letting the data speak for itself, we aim to ...

Everyone knows that water has unusual behavior: it becomes less dense when freezing, allowing ice to float. But this ...

Get an overview of generative AI, how it works, and how it’s poised to shape the future. Generative AI refers to a class of AI models, such as the GPT series or Llama, that analyzes large amounts of ...

The car accident in Mukdahan that resulted in the deaths of 10 monks highlights critical questions about child protection, ...

I'm a Professor Emeritus at the Language Technologies Instutute in the School of Computer Science at Carnegie Mellon University. I'm a part of the Carnegie Mellon Speech Group, one of the oldest such ...

Annual summer camps draw 145,000 registrations across eight centres as force expands curriculum to include PADI certified ...

AI's integration in medical education presents challenges and opportunities, with findings advocating for curricula that ...