Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...
Fix several ops that were breaking creation under 'meta' device context Add device & dtype factory kwarg support to all models and modules (anything inherting from nn.Module) in timm Add ...
Abstract: In this paper, we propose a system that verifies the authenticity of users based on the manner in which they operate a computer mouse. To begin with, we introduce a recurrence plot ...
Abstract: In this paper, disruptive research using generative diffusion models (DMs) with an attention-based encoder-decoder backbone is conducted to automate the sizing of analog integrated circuits ...
Single-channel EEG-based sleep staging methods are well-suited for wearable applications in home environments, offering a practical solution to reduce the diagnostic burden on clinical institutions ...
Hi, I think there might be an inconsistency (or bug) in the PubSub client related to how health check responses are handled. In my application, I encountered the ...
Most learning-based speech enhancement pipelines depend on paired clean–noisy recordings, which are expensive or impossible to collect at scale in real-world conditions. Unsupervised routes like ...
We will build a Regression Language Model (RLM), a model that predicts continuous numerical values directly from text sequences in this coding implementation. Instead of classifying or generating text ...
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