by instadatahelp | Sep 4, 2023 | AI Blogs
The content below has been rewritten: arXivLabs is a platform where collaborators can collaborate and create new features for arXiv directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of...
by instadatahelp | Sep 4, 2023 | AI Blogs
A Framework and Benchmark for Deep Batch Active Learning for Regression David Holzmüller, Viktor Zaverkin, Johannes Kästner, Ingo Steinwart; 24(164):1−81, 2023. Abstract This study focuses on active learning methods for improving the sample efficiency of neural...
by instadatahelp | Sep 4, 2023 | AI Blogs
Adversarial learning has gained significant attention in various studies due to the success of deep neural networks. However, existing adversarial attacks in multi-label learning only focus on visual imperceptibility and overlook the perceptible issue related to...
by instadatahelp | Sep 4, 2023 | AI Blogs
Inference for a Large Directed Acyclic Graph with Unspecified Interventions Chunlin Li, Xiaotong Shen, Wei Pan; 24(73):1−48, 2023. Abstract The statistical inference of directed relations, given unspecified interventions where the intervention targets are unknown,...
by instadatahelp | Sep 4, 2023 | AI Blogs
This research paper introduces a novel synthetic hyperspectral dataset that overcomes the limitations of relying on a single camera for high spectral and spatial resolution imaging. The dataset combines three modalities: RGB, push-broom visible hyperspectral camera,...
by instadatahelp | Sep 4, 2023 | AI Blogs
Robust Methods for High-Dimensional Linear Learning Ibrahim Merad, Stéphane Gaïffas; 24(165):1−44, 2023. Abstract This paper presents statistically robust and computationally efficient linear learning methods for high-dimensional batch settings, where the number of...
