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A new AI tool spots hidden signs of adult ADHD months before a formal diagnosis

Scientists have developed a new artificial intelligence tool that can predict whether an adult has attention-deficit ...
IEEE

HENet: A Heterogeneous Encoding Network for General and Robust Adversarial Example Generation

Abstract: Generator-based adversarial attack methods aim to fool deep neural networks (DNNs) by training a generator for crafting adversarial examples (AEs). However, as DNNs evolve from Convolutional ...
EurekAlert!

Graph transformer model advances disease comorbidity prediction with subgraph-aware encoding

Comorbidity—the co-occurrence of multiple diseases in a patient—complicates diagnosis, treatment, and prognosis. Understanding how diseases connect at a molecular level is crucial, especially in aging ...
GitHub

Fix the transformers example when running with 4.57.0

bugIssue/PR about behavior that is broken. Not for typos/CI but for example itself.Issue/PR about behavior that is broken. Not for typos/CI but for example itself. After the release of transformers ...
GitHub

[Doc]: Cannot build documentation locally without adding encoding to generate examples

Downloading uv-0.8.15-py3-none-win_amd64.whl.metadata (12 kB) Downloading uv-0.8.15-py3-none-win_amd64.whl (21.2 MB) PS C:\Users\ashwi\Documents\GitHub\vllm> ^C PS ...
Microsoft

PaTH Attention: Position Encoding via Accumulating Householder Transformations

The attention mechanism is a core primitive in modern large language models (LLMs) and AI more broadly. Since attention by itself is permutation-invariant, position encoding is essential for modeling ...
Microsoft

Toward Relative Positional Encoding in Spiking Transformers

Spiking neural networks (SNNs) are bio-inspired networks that mimic how neurons in the brain communicate through discrete spikes, which have great potential in various tasks due to their energy ...
IEEE

Label-Efficient Sleep Staging Using Transformers Pretrained with Position Prediction

Abstract: Sleep staging is a clinically important task for diagnosing various sleep disorders, but remains challenging to deploy at scale because it because it is both labor-intensive and ...