IEEE

Parameter Efficient Fine-Tuning on Selective Parameters for Transformer-Based Pre-Trained Models

Abstract: Recent advancements in scaling pre-trained language models have led to significant performance improvements across various tasks. Yet, adapting these large models poses substantial ...
Federal Register

Patient Protection and Affordable Care Act, HHS Notice of Benefit and Payment Parameters for 2027; and Basic Health Program

This document has been published in the Federal Register. Use the PDF linked in the document sidebar for the official electronic format.
IEEE

Evaluating the Impact of Feature Engineering in Phishing URL Detection: A Comparative Study of URL, HTML, and Derived Features

Abstract: Phishing attacks have evolved into sophisticated threats, making effective cybersecurity detection strategies essential. While many studies focus on either URL or HTML features, limited work ...
GitHub

svg-pan-zoom library

If you found a bug or have a suggestion first check if there is a similar open or closed issue. If there are none then create a new one. If you solved a bug or implemented a feature that may be useful ...
GitHub

SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks

In this paper, we propose a conceptually simple but very effective attention module for Convolutional Neural Networks (ConvNets). In contrast to existing channel-wise and spatial-wise attention ...