Latest Articles for Data Science

A concise overview of information theory and its essential components.

TrajSSL enhances 3D object detection using fewer labeled data through motion forecasting.

Learn how Monomial-NFNs improve efficiency in neural networks.

Learn about P1 and P2 fission for better data insights.

Exploring new methods for improved time series forecasting using Wasserstein loss.

A new approach to enhance transparency in AI responses and decision-making.

A new method to improve sampling in complex Bayesian inverse problems.

New models improve performance with experts of varying sizes.

Research focuses on improving language models' ability to understand longer texts.

Discover how adaptive k-NN enhances classification accuracy by adjusting neighbors.

YORO simplifies SQL generation from natural language, enhancing efficiency and accuracy.

New explanations consider feature relationships for clearer decision insights.

A study on improving weather predictions in the Middle East and North Africa.

MusicLIME helps explain AI's approach to analyzing music through audio and lyrics.

AdEMAMix improves training efficiency by balancing recent and past gradients.

Examining the impact of data quality on offline multi-agent reinforcement learning research.

This article explores how sample size impacts neural network performance through loss landscapes.

A new self-ensemble approach improves model resilience to adversarial changes.

This research explores memory reduction methods for training deep neural networks.

A new method enhances learning new classes with limited data.

Flare combines collaborative and content-based filtering for improved recommendations.

A new model enhances the accuracy of internet traffic forecasting.

A fresh approach to training reward models enhances AI alignment with human preferences.

GdVAE offers clear explanations for machine learning decisions, enhancing trust and accountability.

TDC-2 enhances research in drug development through better data access and multimodal models.

An overview of the BCFW algorithm and its efficient problem-solving techniques.

LogicPro enhances logical reasoning in AI using algorithm problems and coded examples.

A look into the learning and manipulation of time series models.

This article examines exposure bias and its effects on content recommendations.

Utilizing smaller models to expedite training of larger language models.

Exploring new economic models for data using quantum communication principles.

A new approach combines GANs with physics to model porous structures.

Exploring greedy and optimal methods for training decision trees in machine learning.

Using synthetic PET/CT images to enhance tumor detection and model performance.

MEXMA improves sentence representation across languages, enhancing multilingual communication tools.

An overview of the unique issues faced by lower-resource languages and potential solutions.

A new method improves understanding of clustering results through counterfactual explanations.

Juhaina is a new language model for Arabic and English speakers that respects cultural contexts.

A new dataset aims to enhance multimodal reasoning in language models.

A new framework enhances object relationship detection in videos, improving accuracy and adaptability.