Surveys

Surveys

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

3,859 articles

CustomVideoX: 3D Reference Attention Driven Dynamic Adaptation for Zero-Shot Customized Video Diffusion Transformers

Customized generation has achieved significant progress in image synthesis, yet personalized video...

Feb 2025 http://arxiv.org/abs/2502.06527v2

FairT2I: Mitigating Social Bias in Text-to-Image Generation via Large Language Model-Assisted Detection and Attribute Rebalancing

The proliferation of Text-to-Image (T2I) models has revolutionized content creation, providing pow...

Feb 2025 http://arxiv.org/abs/2502.03826v1

On Fairness of Unified Multimodal Large Language Model for Image Generation

Unified multimodal large language models (U-MLLMs) have demonstrated impressive performance in vis...

Feb 2025 http://arxiv.org/abs/2502.03429v1

What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization

Text-embedding models often exhibit biases arising from the data on which they are trained. In thi...

Feb 2025 http://arxiv.org/abs/2502.02903v1

Invited commentary: deep learning-methods to amplify epidemiologic data collection and analyses.

Deep learning is a subfield of artificial intelligence and machine learning, based mostly on neural ...

Feb 2025 39013794

Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration

Large Vision-Language Models (LVLMs) exhibit impressive multimodal reasoning capabilities but rema...

Feb 2025 http://arxiv.org/abs/2502.01969v1

Efficient Diffusion Models: A Survey

Diffusion models have emerged as powerful generative models capable of producing high-quality cont...

Feb 2025 http://arxiv.org/abs/2502.06805v2

MIND: Microstructure INverse Design with Generative Hybrid Neural Representation

The inverse design of microstructures plays a pivotal role in optimizing metamaterials with specif...

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Feb 2025 http://arxiv.org/abs/2502.02607v1

Optimizing Feature Selection in Causal Inference: A Three-Stage Computational Framework for Unbiased Estimation

Feature selection is an important but challenging task in causal inference for obtaining unbiased ...

Feb 2025 http://arxiv.org/abs/2502.00501v1

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects?

Unlike traditional visual segmentation, audio-visual segmentation (AVS) requires the model not onl...

Feb 2025 http://arxiv.org/abs/2502.00358v2

Validity and Inter-Device Reliability of an Artificial Intelligence App for Real-Time Assessment of 505 Change of Direction Tests.

The present study aimed to explore the validity and inter-device reliability of a novel artificial i...

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Feb 2025 39808165

ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition

Bias in machine learning models can lead to unfair decision making, and while it has been well-stu...

Jan 2025 http://arxiv.org/abs/2502.00156v2

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey

The rapid adoption of deep learning in sensitive domains has brought tremendous benefits. However,...

Jan 2025 http://arxiv.org/abs/2501.18934v2

Machine Learning Fairness for Depression Detection using EEG Data

This paper presents the very first attempt to evaluate machine learning fairness for depression de...

Jan 2025 http://arxiv.org/abs/2501.18192v1

Statistical Design of Thermal Protection System Using Physics-Informed Neural Network

Thermal protection systems (TPS) of space vehicles are designed computationally rather than experi...

Jan 2025 http://arxiv.org/abs/2501.18078v1

Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey

In the past five years, research has shifted from traditional Machine Learning (ML) and Deep Learn...

Jan 2025 http://arxiv.org/abs/2501.18648v2

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools

This paper presents a survey based on Kasunic's survey research methodology to identify the criter...

Jan 2025 http://arxiv.org/abs/2501.16112v1

Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models?

Text-to-Image (T2I) models have recently gained significant attention due to their ability to gene...

Jan 2025 http://arxiv.org/abs/2501.15775v1

MedSlice: Fine-Tuned Large Language Models for Secure Clinical Note Sectioning

Extracting sections from clinical notes is crucial for downstream analysis but is challenging due ...

Jan 2025 http://arxiv.org/abs/2501.14105v1

Reducing Size Bias in Sampling for Infectious Disease Spread on Networks

Epidemiological models can aid policymakers in reducing disease spread by predicting outcomes base...

Jan 2025 http://arxiv.org/abs/2501.13195v2

Zero-shot Bias Correction: Efficient MR Image Inhomogeneity Reduction Without Any Data

In recent years, deep neural networks for image inhomogeneity reduction have shown promising resul...

Jan 2025 http://arxiv.org/abs/2501.12244v1

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