Latest Articles for Data Science

Learn how projection heads improve machine learning models.

A new method enhances neural network design efficiency and adaptability across tasks.

This article presents StateFlow, a framework to enhance LLM task performance.

Introducing SQ-LLaVA, a method enhancing image questioning and understanding.

This study investigates the role of synthetic examples in authorship verification.

A new self-supervised method improves detection of common objects in multiple images.

Probabilistic neural networks offer deeper insights into uncertainty in scientific modeling.

New methods enhance efficiency in recommendation systems by addressing data sparsity.

A look into the peculiar behavior of Deep Neural Networks during training.

A flexible tool designed for varied data labeling situations.

A new framework addresses bias in urban data predictions for smart cities.

A novel method for accurate population size estimation with limited data.

Exploring transfer learning in quantum algorithms for improved problem-solving.

This study focuses on NER in Brazilian bank earnings calls.

A two-stage method enhances model performance across different data groups.

A new framework improves evaluation in object detection across varied data types.

CQR enhances understanding and responses in conversations by rewriting unclear queries.

A new approach to improve machine learning with limited labeled data.

A look into a new system for better online shopping experiences.

A new method tackles the challenges of labeling nodes in open-world settings.

Label smoothing enhances accuracy but may impair selective classification reliability.

A new view on algorithms as dynamic entities interacting with the world.

A new method enhances object detection using generative models and limited data.

A new method integrates constraints into probabilistic circuits for better predictions.

Mapper visualizes protein pathways, aiding drug discovery and food science.

Robots are learning to adapt and perform tasks across various fields.

A new model enhances performance prediction in neural networks through improved information flow.

Enhancing the learning capabilities of AI models through better training methods.

Foundation models like CLIP present both opportunities and hidden dangers in AI.

Cattleia offers insights into ensemble models, enhancing understanding and usability in AutoML frameworks.

This article presents a new method to improve few-shot class-incremental learning.

New method improves tracking of human activities through sensor data.

TransformMix improves data augmentation by preserving essential features in mixed images.

Exploring new models for better graph data analysis.

Exploring the need for diverse datasets in language technology.

New methods improve OIE performance by integrating linguistic features.

This article presents a new method for improving visual grounding by merging data and model knowledge.

An overview of how machines learn from video data and the challenges they face.

New methods enhance music score reading and interpretation.

Exploring how machine learning aids in analyzing cosmological data.