Latest Articles for Machine Learning

A flexible approach to tackle nonsmooth and nonconvex optimization problems effectively.

A cutting-edge approach improves identification of altered and recaptured images.

dlordinal simplifies deep learning for ordinal classification tasks.

A new approach improves how vehicles predict pedestrian actions.

This article examines how RL helps control bicycles without additional support.

This article investigates how language models handle ambiguous terms and their response consistency.

EverAdapt framework addresses fault recognition in changing machine conditions.

Sparse attention enhances knowledge tracing by focusing on relevant past interactions.

A new method improves anomaly detection by tackling text clustering in models.

This article discusses predicting stability numbers in graphs using convolutional neural networks.

DEAPS improves time series analysis by focusing on dynamic patterns without negative comparisons.

A new method enhances model training in temporal networks.

Techniques for improving the accuracy of numerical solutions in science and engineering.

AI enhances object recognition by understanding material properties for better decision-making.

A study comparing machine learning models for evaluating vulnerabilities in C/C++ code.

A new method significantly speeds up sampling from non-Gaussian Lévy processes.

A study on how language models handle conflicting information.

EAFormer improves accuracy in isolating text from images using edge information.

Local Frequency Transformer offers improved clarity in image restoration.

DreamCar transforms limited images into realistic 3D car models.

Examining the complexities of sampling from the Ising model under spectral constraints.

This article discusses improving neural network training speed using transfer learning from supernets.

Discover how mini-batch gradient descent improves optimization in various fields.

A new approach to sampling diverse models for better AI insights.

This research enhances Gaussian Processes using adaptive Fourier features for better predictions.

CoCN enhances graph representation learning through innovative message-passing techniques.

SinLG improves chatbot conversations by integrating background knowledge for better response selection.

Examining automated methods for better quality control in carpet production.

ARDT helps AI agents face tougher challenges effectively.

Examining how deep belief networks can learn from data and create complex representations.

A new benchmark tests models on their ability to recognize rare items.

A new method converts UDFs to meshes using deep learning techniques.

A new system enhances ML inference speed while preserving data privacy.

Techniques for managing hyperparameters and model weights for improved performance.

A new programming model aims to ease ML integration in scientific fields.

A new method enhances uncertainty measures in machine learning interatomic potentials.

This research enhances multiple object tracking using DINOv2 features to boost FairMOT.

This article reviews the weaknesses of multimodal models against various attack types.

New loss functions aim to enhance density ratio estimation in machine learning.

A new approach merges motion and appearance for effective action recognition with limited data.