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Latest AI and machine learning research in surveys for healthcare professionals.

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Towards Visual Grounding: A Survey

Visual Grounding is also known as Referring Expression Comprehension and Phrase Grounding. It invo...

More is Less? A Simulation-Based Approach to Dynamic Interactions between Biases in Multimodal Models

Multimodal machine learning models, such as those that combine text and image modalities, are incr...

From Galaxy Zoo DECaLS to BASS/MzLS: detailed galaxy morphology classification with unsupervised domain adaption

The DESI Legacy Imaging Surveys (DESI-LIS) comprise three distinct surveys: the Dark Energy Camera...

GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators

Recently, 3D generative domain adaptation has emerged to adapt the pre-trained generator to other ...

Creation of AI-driven Smart Spaces for Enhanced Indoor Environments -- A Survey

Smart spaces are ubiquitous computing environments that integrate diverse sensing and communicatio...

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What makes a good metric? Evaluating automatic metrics for text-to-image consistency

Language models are increasingly being incorporated as components in larger AI systems for various...

RAG for Effective Supply Chain Security Questionnaire Automation

In an era where digital security is crucial, efficient processing of security-related inquiries th...

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Improving essay peer grading accuracy in MOOCs using personalized weights from student's engagement and performance

Most MOOC platforms either use simple schemes for aggregating peer grades, e.g., taking the mean o...

Identifying Bias in Deep Neural Networks Using Image Transforms

CNNs have become one of the most commonly used computational tool in the past two decades. One of ...

Unleashing the Potential of Model Bias for Generalized Category Discovery

Generalized Category Discovery is a significant and complex task that aims to identify both known ...

The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification

This study investigates the trade-offs between fairness, privacy, and utility in image classificat...

Semi-Supervised Risk Control via Prediction-Powered Inference

The risk-controlling prediction sets (RCPS) framework is a general tool for transforming the outpu...

Making Bias Amplification in Balanced Datasets Directional and Interpretable

Most of the ML datasets we use today are biased. When we train models on these biased datasets, th...

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A Decade of Deep Learning: A Survey on The Magnificent Seven

Deep learning has fundamentally reshaped the landscape of artificial intelligence over the past de...

Err on the Side of Texture: Texture Bias on Real Data

Bias significantly undermines both the accuracy and trustworthiness of machine learning models. To...

Analyzing Fairness of Classification Machine Learning Model with Structured Dataset

Machine learning (ML) algorithms have become integral to decision making in various domains, inclu...

Pinpoint Counterfactuals: Reducing social bias in foundation models via localized counterfactual generation

Foundation models trained on web-scraped datasets propagate societal biases to downstream tasks. W...

InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models

As one of the most successful generative models, diffusion models have demonstrated remarkable eff...

DOGE: An Extrinsic Orientation and Gyroscope Bias Estimation for Visual-Inertial Odometry Initialization

Most existing visual-inertial odometry (VIO) initialization methods rely on accurate pre-calibrate...

Automatic Item Generation for Personality Situational Judgment Tests with Large Language Models

Personality assessment, particularly through situational judgment tests (SJTs), is a vital tool fo...

Access to care improves EHR reliability and clinical risk prediction model performance

Disparities in access to healthcare have been well-documented in the United States, but their effe...

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