Latest Articles for Machine Learning

A fresh approach exposes vulnerabilities in deep learning models, raising privacy concerns.

A new model enhances dental image analysis for better diagnosis.

Examining the difficulties models face with long sequences in various applications.

Learn how automata theory enhances the performance of language models.

MambaVision combines Mamba and Transformers for better image recognition.

A competition focuses on using ML for airfoil design simulations.

Combining topology optimization and machine learning for efficient photonic component design.

A new method improves efficiency in multi-task machine learning.

A new method enhancing model performance through effective outlier management.

TACLE framework boosts learning with limited labeled data in challenging scenarios.

A model predicts how fluids move around different shapes, improving flow analysis.

Evaluating the true reasoning skills of large language models remains challenging.

An overview of probabilistic graphical models and their applications in various fields.

Examining the role of risk in machine learning for asset pricing.

A new dataset supporting fish species and trait research with 60,000 images.

Researching mental health through social media user posts.

A study leverages sensor data to enhance ALS symptom prediction.

Exploring the role of generalized metric subregularity in enhancing numerical optimization techniques.

Introducing Coupled Covariances Eigenproblem (CCE) for improved learning from asymmetric data.

A new method that enhances object detection using noisy crowdsourced labels.

A look into how stochastic drift influences decision-making and optimization.

New approach helps robots learn tasks by generating images of actions.

Introducing Toto, a model designed to improve time series forecasting for observability metrics.

Integrating causal knowledge improves Graph Neural Networks performance in diverse tasks.

This article discusses the importance of learning operators in Banach spaces for scientific computing.

A new framework for efficient training of language models across multiple computers.

Study reveals how sparsity in AI models changes across layers during training.

New techniques allow for better emulation of guitar amplifiers and effects.

A new method improves decision-making through historical data analysis.

OV-DINO improves object detection by recognizing names not seen in training.

A new approach enhances vehicle identification across varying camera angles.

Enhancing mobile networks for better energy savings and performance.

A tool to analyze and improve computer image recognition errors.

A study reveals key connections in how large language models function.

Introducing Random Subspace Adaptation for efficient language model fine-tuning.

A new model improves data privacy while enhancing machine learning accuracy.

New methods enhance stability and accuracy in complex matrix systems.

Assessing LLM capabilities using grid-based games like Tic-Tac-Toe and Connect Four.

This study analyzes issues in argument retrieval models and dataset quality.

This study presents a technique to generate PET images from MRI scans.