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Contraction of the Posterior with Deep Gaussian Process Priors

by instadatahelp | Aug 27, 2023 | AI Blogs

Posterior Contraction for Deep Gaussian Process Priors Gianluca Finocchio, Johannes Schmidt-Hieber; 24(66):1−49, 2023. Abstract This study examines the rates of posterior contraction for a class of deep Gaussian process priors in the nonparametric regression setting,...
Improving Open-set Face Recognition through Neural Ensemble, Maximal Entropy Loss, and Feature Augmentation

Improving Open-set Face Recognition through Neural Ensemble, Maximal Entropy Loss, and Feature Augmentation

by instadatahelp | Aug 26, 2023 | AI Blogs

[Submitted on 23 Aug 2023] Click here to download a PDF of the paper titled “Open-set Face Recognition with Neural Ensemble, Maximal Entropy Loss and Feature Augmentation” by Rafael Henrique Vareto, Manuel Günther, and William Robson Schwartz. Download PDF...
Simplified Amazon SageMaker JumpStart SDK: Zero-shot and few-shot prompting for the BloomZ 176B foundation model

Simplified Amazon SageMaker JumpStart SDK: Zero-shot and few-shot prompting for the BloomZ 176B foundation model

by instadatahelp | Aug 26, 2023 | AI Blogs

Amazon SageMaker JumpStart is a hub for machine learning (ML) that offers algorithms, models, and ML solutions. It provides ML practitioners with a range of best performing and publicly available foundation models (FMs) such as BLOOM, Llama 2, Falcon-40B, Stable...

A Framework for Nonsmooth Nonconvex Optimization: Inertial Block Majorization Minimization

by instadatahelp | Aug 26, 2023 | AI Blogs

An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis; 24(18):1−41, 2023. Abstract This paper presents TITAN, a new framework called inerTIal block majorizaTion minimizAtioN...
Improving Open-set Face Recognition through Neural Ensemble, Maximal Entropy Loss, and Feature Augmentation

Risk-Aware Policies: A Step Towards Enhanced Algorithmic Recourse Safety

by instadatahelp | Aug 26, 2023 | AI Blogs

Title: SafeAR: Enhancing Algorithmic Recourse with Risk-Aware Policies Date: 23 Aug 2023 Authors: Haochen Wu and colleagues Abstract: As the use of machine learning (ML) models in critical domains like finance and healthcare continues to grow, it is crucial to provide...
Leveraging LLMs on Amazon SageMaker for Multilingual Intelligent Video and Audio Q&A

Leveraging LLMs on Amazon SageMaker for Multilingual Intelligent Video and Audio Q&A

by instadatahelp | Aug 26, 2023 | AI Blogs

Digital assets play a crucial role in representing products, services, culture, and brand identity for businesses in the digital era. They enable interactive and personalized experiences, enhancing customer engagement and deepening connections with the target...

A Toolkit for Evaluating Neural Network Explanations and More: Promoting Explainable AI and Responsible Practices

by instadatahelp | Aug 26, 2023 | AI Blogs

Quantus: A Toolkit for Evaluating Neural Network Explanations and Beyond Anna Hedström, Leander Weber, Daniel Krakowczyk, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne; 24(34):1−11, 2023. Abstract The evaluation of...
Improving Open-set Face Recognition through Neural Ensemble, Maximal Entropy Loss, and Feature Augmentation

Refining Diffusion Models: A Renormalization Approach (arXiv:2308.12355v1 [hep-th])

by instadatahelp | Aug 26, 2023 | AI Blogs

In this content, we discuss the application of diffusion models in learning inverse renormalization group flows of statistical and quantum field theories. Diffusion models are machine learning models used to generate samples from complex distributions by learning the...
Amazon Shopping Utilizes Amazon Rekognition Content Moderation for Assessing Harmful Images within Product Reviews

Amazon Shopping Utilizes Amazon Rekognition Content Moderation for Assessing Harmful Images within Product Reviews

by instadatahelp | Aug 26, 2023 | AI Blogs

Product reviews have become a crucial part of the customer shopping journey, as they provide valuable feedback and insights from other customers. Amazon, with its vast selection of products, has become a reliable source of online reviews. However, it is important to...
Improving Open-set Face Recognition through Neural Ensemble, Maximal Entropy Loss, and Feature Augmentation

Small Molecule Property Prediction in Drug Discovery Using Machine Learning

by instadatahelp | Aug 26, 2023 | AI Blogs

Machine learning (ML) has emerged as a promising method for predicting the properties of small molecules in the field of drug discovery. In this article, we offer a comprehensive overview of the various ML techniques that have been developed for this purpose in recent...
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