Data Science

Data analysis, statistics, and data engineering

This Week's Best | Monthly Best | Guide | Trending

Top This Week

UMKC Announces New Master of Science in Artificial Intelligence
Ai Infrastructure

UMKC Announces New Master of Science in Artificial Intelligence

UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...

AI News - General · 4 min ·
[2601.21463] Unifying Speech Editing Detection and Content Localization via Prior-Enhanced Audio LLMs
Llms

[2601.21463] Unifying Speech Editing Detection and Content Localization via Prior-Enhanced Audio LLMs

Abstract page for arXiv paper 2601.21463: Unifying Speech Editing Detection and Content Localization via Prior-Enhanced Audio LLMs

arXiv - AI · 4 min ·
[2601.02627] Improved Evidence Extraction and Metrics for Document Inconsistency Detection with LLMs
Llms

[2601.02627] Improved Evidence Extraction and Metrics for Document Inconsistency Detection with LLMs

Abstract page for arXiv paper 2601.02627: Improved Evidence Extraction and Metrics for Document Inconsistency Detection with LLMs

arXiv - AI · 3 min ·

All Content

[2408.14073] Score-based change point detection via tracking the best of infinitely many experts
Machine Learning

[2408.14073] Score-based change point detection via tracking the best of infinitely many experts

This paper presents a novel algorithm for nonparametric online change point detection, utilizing a score-based approach to track the best...

arXiv - Machine Learning · 3 min ·
[2407.12226] Individualized Federated Learning for Traffic Prediction with Error Driven Aggregation
Machine Learning

[2407.12226] Individualized Federated Learning for Traffic Prediction with Error Driven Aggregation

The paper presents NeighborFL, an individualized federated learning approach for traffic prediction that enhances real-time model updates...

arXiv - Machine Learning · 4 min ·
[2602.15189] ScrapeGraphAI-100k: A Large-Scale Dataset for LLM-Based Web Information Extraction
Llms

[2602.15189] ScrapeGraphAI-100k: A Large-Scale Dataset for LLM-Based Web Information Extraction

ScrapeGraphAI-100k introduces a large-scale dataset for LLM-based web information extraction, addressing limitations of existing datasets...

arXiv - AI · 3 min ·
[2405.21012] IGC-Net for conditional average potential outcome estimation over time
Nlp

[2405.21012] IGC-Net for conditional average potential outcome estimation over time

The paper introduces IGC-Net, a novel neural model designed for estimating conditional average potential outcomes (CAPOs) over time, addr...

arXiv - Machine Learning · 4 min ·
[2602.15138] MB-DSMIL-CL-PL: Scalable Weakly Supervised Ovarian Cancer Subtype Classification and Localisation Using Contrastive and Prototype Learning with Frozen Patch Features
Machine Learning

[2602.15138] MB-DSMIL-CL-PL: Scalable Weakly Supervised Ovarian Cancer Subtype Classification and Localisation Using Contrastive and Prototype Learning with Frozen Patch Features

This paper presents a novel approach for classifying and localizing ovarian cancer subtypes using weakly supervised learning techniques, ...

arXiv - AI · 4 min ·
[2602.15830] Ensemble-size-dependence of deep-learning post-processing methods that minimize an (un)fair score: motivating examples and a proof-of-concept solution
Machine Learning

[2602.15830] Ensemble-size-dependence of deep-learning post-processing methods that minimize an (un)fair score: motivating examples and a proof-of-concept solution

This paper explores the ensemble-size dependence of deep-learning post-processing methods aimed at minimizing unfair scores in ensemble f...

arXiv - Machine Learning · 4 min ·
[2602.15781] Neural Scaling Laws for Boosted Jet Tagging
Llms

[2602.15781] Neural Scaling Laws for Boosted Jet Tagging

The paper explores neural scaling laws for boosted jet tagging in high energy physics, highlighting the relationship between compute reso...

arXiv - Machine Learning · 4 min ·
[2602.15074] Structure-Aware Piano Accompaniment via Style Planning and Dataset-Aligned Pattern Retrieval
Machine Learning

[2602.15074] Structure-Aware Piano Accompaniment via Style Planning and Dataset-Aligned Pattern Retrieval

This paper presents a structure-aware method for generating piano accompaniments using a transformer model for style planning and dataset...

arXiv - AI · 3 min ·
[2602.15738] Beyond Labels: Information-Efficient Human-in-the-Loop Learning using Ranking and Selection Queries
Machine Learning

[2602.15738] Beyond Labels: Information-Efficient Human-in-the-Loop Learning using Ranking and Selection Queries

This article presents a novel human-in-the-loop framework for machine learning that enhances information efficiency by utilizing ranking ...

arXiv - Machine Learning · 4 min ·
[2602.15070] An effective Genetic Programming Hyper-Heuristic for Uncertain Agile Satellite Scheduling
Machine Learning

[2602.15070] An effective Genetic Programming Hyper-Heuristic for Uncertain Agile Satellite Scheduling

This paper presents a Genetic Programming Hyper-Heuristic (GPHH) designed for the Uncertain Agile Earth Observation Satellite Scheduling ...

arXiv - AI · 3 min ·
[2602.15632] Neural-POD: A Plug-and-Play Neural Operator Framework for Infinite-Dimensional Functional Nonlinear Proper Orthogonal Decomposition
Machine Learning

[2602.15632] Neural-POD: A Plug-and-Play Neural Operator Framework for Infinite-Dimensional Functional Nonlinear Proper Orthogonal Decomposition

The Neural-POD framework introduces a novel approach to constructing nonlinear orthogonal basis functions in infinite-dimensional spaces ...

arXiv - Machine Learning · 4 min ·
[2602.15568] Scenario Approach with Post-Design Certification of User-Specified Properties
Data Science

[2602.15568] Scenario Approach with Post-Design Certification of User-Specified Properties

This paper introduces a scenario approach for post-design certification of user-specified properties, enhancing reliability without addit...

arXiv - Machine Learning · 3 min ·
[2602.15552] Latent Regularization in Generative Test Input Generation
Machine Learning

[2602.15552] Latent Regularization in Generative Test Input Generation

This paper explores the effects of latent space regularization on the quality of generative test inputs for deep learning classifiers, de...

arXiv - Machine Learning · 3 min ·
[2602.15042] Combining scEEG and PPG for reliable sleep staging using lightweight wearables
Data Science

[2602.15042] Combining scEEG and PPG for reliable sleep staging using lightweight wearables

This article explores the fusion of single-channel EEG (scEEG) and photoplethysmography (PPG) for improved sleep staging in lightweight w...

arXiv - AI · 4 min ·
[2602.15538] Functional Central Limit Theorem for Stochastic Gradient Descent
Generative Ai

[2602.15538] Functional Central Limit Theorem for Stochastic Gradient Descent

This paper presents a functional central limit theorem for the trajectory of the stochastic gradient descent (SGD) algorithm applied to c...

arXiv - Machine Learning · 3 min ·
[2602.15039] GRACE: an Agentic AI for Particle Physics Experiment Design and Simulation
Robotics

[2602.15039] GRACE: an Agentic AI for Particle Physics Experiment Design and Simulation

The paper presents GRACE, an AI agent designed for autonomous experimental design in particle physics, utilizing simulations to optimize ...

arXiv - AI · 4 min ·
[2602.15036] Transforming Computational Lithography with AC and AI -- Faster, More Accurate, and Energy-efficient
Machine Learning

[2602.15036] Transforming Computational Lithography with AC and AI -- Faster, More Accurate, and Energy-efficient

This article discusses the integration of accelerated computing (AC) and artificial intelligence (AI) in computational lithography, highl...

arXiv - AI · 4 min ·
[2602.15470] The Skeletal Trap: Mapping Spatial Inequality and Ghost Stops in Ankara's Transit Network
Nlp

[2602.15470] The Skeletal Trap: Mapping Spatial Inequality and Ghost Stops in Ankara's Transit Network

This article explores Ankara's public transport crisis, attributing it to structural issues rather than mere inefficiencies. It highlight...

arXiv - Machine Learning · 3 min ·
[2602.13209] LemonadeBench: Evaluating the Economic Intuition of Large Language Models in Simple Markets
Llms

[2602.13209] LemonadeBench: Evaluating the Economic Intuition of Large Language Models in Simple Markets

The paper presents LemonadeBench, a benchmark for assessing the economic intuition of large language models (LLMs) through a simulated le...

arXiv - AI · 3 min ·
[2602.15816] Developing AI Agents with Simulated Data: Why, what, and how?
Machine Learning

[2602.15816] Developing AI Agents with Simulated Data: Why, what, and how?

This article discusses the significance of synthetic data generation through simulation for training AI agents, addressing challenges and...

arXiv - AI · 3 min ·
Previous Page 123 Next

Related Topics

Machine Learning Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI

Stay updated with AI News

Get the latest news, tools, and insights delivered to your inbox.

Subscribe to Newsletter

Daily or weekly digest • Unsubscribe anytime