Computer Science - Machine Learning

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Computer Vision and Pattern Recognition Enhancing Deep Learning with Graph-Based Techniques

A new approach improves AI's ability to handle unusual data.

Debargha Ganguly, Debayan Gupta, Vipin Chaudhary

2025-06-05T07:04:36+00:00 ― 6 min read

Cryptography and Security Advancing Malware Detection with Self-Supervised Learning

Innovative methods improve detection of malware through deep packet inspection.

Kyle Stein, Arash Mahyari, Guillermo Francia

2025-06-05T06:48:48+00:00 ― 5 min read

Artificial Intelligence Evaluating Instruction Following in Multi-Turn Conversations

A study on how models follow instructions during complex dialogues.

Elliot L. Epstein, Kaisheng Yao, Jing Li

2025-06-05T06:40:54+00:00 ― 6 min read

Machine Learning Addressing Trustworthiness in Text-to-Image Models

This article discusses key concerns regarding the reliability of text-to-image models.

Yi Zhang, Zhen Chen, Chih-Hong Cheng

2025-06-05T06:33:00+00:00 ― 6 min read

Machine Learning Advancements in Estimating Question Difficulty Using Active Learning

This research explores active learning methods to estimate question difficulty efficiently.

Arthur Thuy, Ekaterina Loginova, Dries F. Benoit

2025-06-05T05:29:04+00:00 ― 6 min read

Computer Vision and Pattern Recognition Mapping Rhino Middens to Enhance Conservation Efforts

A new method tracks rhinos using their waste locations to combat poaching.

Lucia Gordon, Nikhil Behari, Samuel Collier

2025-06-05T05:21:54+00:00 ― 7 min read

Machine Learning MALPOLON: A New Tool for Ecological Research

MALPOLON provides accessible species distribution modeling for researchers and ecologists.

Theo Larcher, Lukas Picek, Benjamin Deneu

2025-06-05T05:14:00+00:00 ― 5 min read

Computer Vision and Pattern Recognition Improving Heart Imaging with Self-Supervised Learning

Study examines self-supervised learning methods to enhance cardiovascular imaging.

Rob A. J. de Mooij, Josien P. W. Pluim, Cian M. Scannell

2025-06-05T04:58:12+00:00 ― 5 min read

Machine Learning Improving Decision-Making with OBSI Algorithm

OBSI enhances decision-making by focusing on relevant features in online settings.

Rowan Swiers, Subash Prabanantham, Andrew Maher

2025-06-05T04:39:00+00:00 ― 5 min read

Optimization and Control Advancements in Optimization Algorithms and Their Impact

Exploring new methods to improve optimization algorithms for faster decision-making.

Ibrahim K. Ozaslan, Mihailo R. Jovanović

2025-06-05T03:51:28+00:00 ― 4 min read

Machine Learning Enhancing Clustering Techniques with Bayesian Methods

A new approach improves clustering results using Bayesian bootstrap.

Federico Maria Quetti, Silvia Figini, Elena ballante

2025-06-05T03:48:56+00:00 ― 6 min read

Fluid Dynamics Advancements in Turbulence Prediction Using Hybrid Methods

Combining machine learning with traditional methods improves turbulence predictions and efficiency.

Mohammad Atif, Pulkit Dubey, Pratik P. Aghor

2025-06-05T03:43:54+00:00 ― 6 min read

Computation and Language Evaluating the Role of Large Language Models in Materials Science

This study assesses LLM performance in answering questions and predicting material properties.

Hongchen Wang, Kangming Li, Scott Ramsay

2025-06-05T03:28:12+00:00 ― 5 min read

Machine Learning Understanding Intransitivity in Preferences and Comparisons

This article explores intransitivity and its impact on decision-making in various fields.

Jiuding Duan, Jiyi Li, Yukino Baba

2025-06-05T03:14:42+00:00 ― 5 min read

Machine Learning Introducing Multi-Forests for Multi-Class Outcomes

A new method to analyze multiple class outcomes using variable importance measures.

Roman Hornung, Alexander Hapfelmeier

2025-06-05T02:58:52+00:00 ― 5 min read

Robotics Advancing Vehicle Navigation with Diffusion Models

This model improves vehicle navigation by combining localization and path planning techniques.

L. Lao Beyer, S. Karaman

2025-06-05T02:43:54+00:00 ― 5 min read

Robotics LoopSR: Advancing Robot Movement Learning

A new method improves robots' ability to adapt their movements in various terrains.

Peilin Wu, Weiji Xie, Jiahang Cao

2025-06-05T02:20:12+00:00 ― 7 min read

Machine Learning Improving Data Imputation with LSSDM

LSSDM offers an effective solution for filling gaps in multivariate time series data.

Guojun Liang, Najmeh Abiri, Atiye Sadat Hashemi

2025-06-05T02:08:48+00:00 ― 5 min read

Machine Learning A New Method for Analyzing Dynamic Graphs

This article presents a new way to predict connections in dynamic graphs.

Yannis Karmim, Marc Lafon, Raphael Fournier S'niehotta

2025-06-05T02:04:24+00:00 ― 6 min read

Computation and Language BEATS: A New Approach to Improve LLM Math Skills

BEATS enhances LLMs' ability to solve math problems clearly and accurately.

Linzhuang Sun, Hao Liang, Jingxuan Wei

2025-06-05T01:56:30+00:00 ― 5 min read

Neurons and Cognition Introducing ORGaNICs: A New Approach to Neural Stability

The ORGaNICs model enhances neural stability using divisive normalization.

Shivang Rawat, David J. Heeger, Stefano Martiniani

2025-06-05T01:35:54+00:00 ― 4 min read

Machine Learning Advancements in Sample Compression for Machine Learning

New methods improve model performance with fewer data points.

Mathieu Bazinet, Valentina Zantedeschi, Pascal Germain

2025-06-05T01:32:48+00:00 ― 6 min read

Machine Learning Improving LLMs with Pseudo-Code for Graph Reasoning

Study shows pseudo-code enhances LLM performance on graph tasks.

Konstantinos Skianis, Giannis Nikolentzos, Michalis Vazirgiannis

2025-06-05T00:45:24+00:00 ― 7 min read

Cryptography and Security Enhancing IoT Security with Lightweight CDC-XPUFs

New design improves reliability and security for IoT devices using PUF technology.

Gaoxiang Li, Yu Zhuang

2025-06-05T00:37:30+00:00 ― 5 min read

Machine Learning AI Techniques Enhance Spacecraft Fault Detection

New AI methods aim to improve fault detection in spacecraft systems.

R. Gallon, F. Schiemenz, A. Krstova

2025-06-04T23:50:06+00:00 ― 6 min read

Machine Learning New Method for Uncertainty in AI Predictions

A new approach improves how AI assesses uncertainty in predictions.

Taeseong Yoon, Heeyoung Kim

2025-06-04T23:38:36+00:00 ― 6 min read

Machine Learning Advancements in Gradient Compression with LM-GC

LM-GC offers a new way to compress gradients in machine learning.

Hui-Po Wang, Mario Fritz

2025-06-04T23:34:18+00:00 ― 5 min read

Machine Learning Advancing Synthetic ECG Data Generation for Heart Health

A new method for creating realistic synthetic ECG data improves heart condition detection.

Yakir Yehuda, Kira Radinsky

2025-06-04T23:18:30+00:00 ― 6 min read

Machine Learning Ensuring Fairness in Data with FVNNs

FVNNs provide a fair approach to data analysis and predictions.

Andrea Cavallo, Madeline Navarro, Santiago Segarra

2025-06-04T22:48:32+00:00 ― 4 min read

Machine Learning Advancing Protein Design with GameOpt

GameOpt innovates protein design through efficient optimization techniques.

Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny

2025-06-04T22:42:51+00:00 ― 6 min read

Machine Learning Advancing Machine Learning with Continual Learning Methods

A novel approach to address memory issues in machine learning.

Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar

2025-06-04T22:31:06+00:00 ― 5 min read

Machine Learning Reconstructing Utility Functions in Sensor Networks

A method for estimating sensor objectives amidst noisy observations.

Luke Snow, Vikram Krishnamurthy

2025-06-04T22:04:25+00:00 ― 5 min read

Machine Learning Advancements in Motion Prediction for Self-Driving Cars

CASPFormer innovates trajectory prediction using bird’s eye view images.

Harsh Yadav, Maximilian Schaefer, Kun Zhao

2025-06-04T21:59:30+00:00 ― 6 min read

Machine Learning Advancing RUL Prediction for Optical Fiber Amplifiers

New model enhances lifetime predictions of optical fiber amplifiers, improving network reliability.

Dominic Schneider, Lutz Rapp

2025-06-04T21:15:50+00:00 ― 5 min read

Computer Vision and Pattern Recognition The Importance of Reporting Variability in Medical Imaging AI

Reliable AI in medical imaging needs clear reports on performance variability.

Evangelia Christodoulou, Annika Reinke, Rola Houhou

2025-06-04T21:04:12+00:00 ― 5 min read

Information Retrieval Streamlining Ranking Systems with Few Examples

A new method improves search rankings using fewer examples.

Nilanjan Sinhababu, Andrew Parry, Debasis Ganguly

2025-06-04T20:32:36+00:00 ― 5 min read

Information Retrieval Advancing Top-K Recommendations with Generative Models

Research improves recommendation systems by predicting multiple items at once.

Anna Volodkevich, Danil Gusak, Anton Klenitskiy

2025-06-04T20:16:48+00:00 ― 6 min read

Machine Learning SAMBA: A New Approach to Brain Research

SAMBA combines EEG and fMRI data for improved understanding of brain activity.

Arman Afrasiyabi, Dhananjay Bhaskar, Erica L. Busch

2025-06-04T19:49:48+00:00 ― 5 min read

Information Retrieval Introducing GLIMPSE: An Innovative News Recommendation Method

A new method improves personalized news recommendations through efficient ranking techniques.

Nithish Kannen, Yao Ma, Gerrit J. J. van den Burg

2025-06-04T19:45:12+00:00 ― 9 min read

Cryptography and Security Improving LLM Safety: The MoJE Approach

MoJE enhances guardrails for LLMs, tackling jailbreak attacks effectively.

Giandomenico Cornacchia, Giulio Zizzo, Kieran Fraser

2025-06-04T19:29:24+00:00 ― 7 min read