Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
Abstract: Phishing URL detection has become a critical challenge in cybersecurity, with existing methods often struggling to maintain high accuracy while generalizing across diverse datasets. In this ...
"""Get the default untrusted model name. Returns the model string for the untrusted role, either from the `UNTRUSTED_MODEL` environment variable or a default value. This is primarily used internally ...
Abstract: Masked language modeling has become a central approach in contemporary natural language processing, with BERT standing out as a widely used framework. Despite this progress, many indigenous ...
This repository is an official implementation of the paper Deformable DETR: Deformable Transformers for End-to-End Object Detection. TL; DR. Deformable DETR is an efficient and fast-converging ...
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