CybAI news

arXiv:2406.12011v1 Announce Type: new Abstract: Recently, transductive learning methods, which leverage holdout sets during training, have gained popularity for their potential to improve speed, accuracy, and fairness in machine learning models. Despite this, the composition of the holdout set itself, particularly the balance of sensitive sub-groups, has been largely overlooked. Our experiments on CIFAR and CelebA datasets show that compositional changes in the holdout set can substantially influence fairness metrics. Imbalanced holdout sets exacerbate existing disparities, while balanced holdouts can mitigate issues introduced by imbalanced training data. These findings underline the necessity of constructing holdout sets that are both diverse…

[Submitted on 18 Jun 2024] View a PDF of the paper titled PCIE_EgoHandPose Solution for EgoExo4D Hand Pose Challenge, by Feng Chen and 5 other authors View PDF HTML (experimental) Abstract:This report presents our team's 'PCIE_EgoHandPose' solution for the EgoExo4D Hand Pose Challenge at CVPR2024. The main goal of the challenge is to accurately estimate hand poses, which involve 21 3D joints, using an RGB egocentric video image provided for the task. This task is particularly challenging due to the subtle movements and occlusions. To handle the complexity of the task, we propose the Hand Pose Vision Transformer (HP-ViT). The…

arXiv:2406.12104v1 Announce Type: new Abstract: Recent advancements in Text-to-SQL have pushed database management systems towards greater democratization of data access. Today's language models are at the core of these advancements. They enable impressive Text-to-SQL generation as experienced in the development of Distyl AI's Analytics Insight Engine. Its early deployment with enterprise customers has highlighted three core challenges. First, data analysts expect support with authoring SQL queries of very high complexity. Second, requests are ad-hoc and, as such, require low latency. Finally, generation requires an understanding of domain-specific terminology and practices. The design and implementation of our Text-to-SQL generation pipeline, powered…

(dTosh/Shutterstock) The Apache Spark community has improved support for Python to such a great degree over the past few years that Python is now a “first-class” language, and no longer a “clunky” add-on as it once was, Databricks co-founder and Chief Architect Reynold Xin said at Data + AI Summit last week. “It’s actually a completely different language.” Python is the world’s most popular programming language, but that doesn’t mean that it always plays well with others. In fact, many Python users have been dismayed over the poor integration with Apache Spark over the years, including its tendency to be…