AutoSTF automates spatio-temporal forecasting for better predictions and efficiency.
Tengfei Lyu, Weijia Zhang, Jinliang Deng
― 5 min read
Computer Science - Machine Learning
RSSExploring the effectiveness and questions surrounding recurrent neural networks in sequential data processing.
Yuling Jiao, Yang Wang, Bokai Yan
― 6 min read
Enhancing robots' ability to adapt and learn from experiences.
Jiaheng Hu, Rose Hendrix, Ali Farhadi
― 7 min read
Discover how causal relationships impact decisions in various fields.
Ziyang Jiao, Ce Guo, Wayne Luk
― 8 min read
Enhancing temperature predictions for better local weather accuracy using advanced techniques.
Lawrence Zhang, Adam Yang, Rodz Andrie Amor
― 6 min read
A look at dynamic quantization methods for enhancing LLM performance.
Yifan Tan, Haoze Wang, Chao Yan
― 5 min read
A new algorithm improves efficiency in Bayesian experimental design.
Sahel Iqbal, Hany Abdulsamad, Sara Pérez-Vieites
― 5 min read
A new framework improves camera pose estimation in various environments.
Gennady Sidorov, Malik Mohrat, Ksenia Lebedeva
― 5 min read
A look into Hierarchical Federated Learning and its advantages for device privacy.
Nathaniel Hudson, Valerie Hayot-Sasson, Yadu Babuji
― 4 min read
A new method tracks student learning via conversations with AI tutors.
Alexander Scarlatos, Andrew Lan
― 6 min read
A new method enhances federated learning by reducing data transmission and energy usage.
Elissa Mhanna, Mohamad Assaad
― 5 min read
A look at using smaller adjustments for large pre-trained models.
Zheda Mai, Ping Zhang, Cheng-Hao Tu
― 5 min read
A new method provides clearer explanations for deep learning decisions.
Ruo Yang, Binghui Wang, Mustafa Bilgic
― 5 min read
Examining issues in AI incident reporting for better practices and understanding.
Kevin Paeth, Daniel Atherton, Nikiforos Pittaras
― 6 min read
This paper investigates fairness in blocking methods for entity matching systems.
Mohammad Hossein Moslemi, Harini Balamurugan, Mostafa Milani
― 7 min read
HEN improves memory retrieval in neural networks by enhancing pattern separability.
Satyananda Kashyap, Niharika S. D'Souza, Luyao Shi
― 6 min read
Exploring how machines learn continuously from data streams using PCMC.
Cameron Taylor, Vassilis Vassiliades, Constantine Dovrolis
― 6 min read
Learn how centrifugal clutches enhance automatic transmission performance in vehicles.
Bo-Yi Lin, Kai Chun Lin
― 5 min read
Addressing wildfire detection through a comprehensive satellite imagery dataset.
Valeria Martin, K. Brent Venable, Derek Morgan
― 5 min read
A new method enhances metal part monitoring during LPBF using deep learning for image improvement.
Francis Ogoke, Sumesh Kalambettu Suresh, Jesse Adamczyk
― 7 min read
A larger dataset enhances automated detection of agricultural field boundaries from satellite images.
Hannah Kerner, Snehal Chaudhari, Aninda Ghosh
― 7 min read
Research shows promise in predicting cognitive decline with blood tests and advanced models.
Henry Musto, Daniel Stamate, Doina Logofatu
― 5 min read
ERIC uses machine learning and cameras to enhance irrigation efficiency.
Tian Liu, Liuyi Jin, Radu Stoleru
― 6 min read
A new framework simplifies clustering by tailoring solutions to specific needs.
Matheus Camilo da Silva, Gabriel Marques Tavares, Eric Medvet
― 7 min read
This research introduces automated methods for assessing precision spraying in agriculture.
Harry Rogers, Tahmina Zebin, Grzegorz Cielniak
― 6 min read
A new ASR method helps technology understand children's speech better.
Zhonghao Shi, Harshvardhan Srivastava, Xuan Shi
― 5 min read
Learn how LoRA-LEGO merges models for better task handling.
Ziyu Zhao, Tao Shen, Didi Zhu
― 5 min read
Explore the privacy concerns surrounding membership inference attacks in machine learning.
Hongyan Chang, Ali Shahin Shamsabadi, Kleomenis Katevas
― 5 min read
Exploring how humans and machines perceive faces in random patterns.
Mark Hamilton, Simon Stent, Vasha DuTell
― 6 min read
Learn how hyperparameters affect neural network performance and complexity.
Huixin Guan
― 4 min read
Combining graph neural networks and variational autoencoders enhances image classification accuracy.
Caio F. Deberaldini Netto, Zhiyang Wang, Luana Ruiz
― 5 min read
Soft labels can improve machine learning model performance in uncertain data scenarios.
Sjoerd de Vries, Dirk Thierens
― 6 min read
A look into methods for identifying potential new particles in particle physics.
Soheun Yi, John Alison, Mikael Kuusela
― 6 min read
A new model architecture improves forecasting accuracy and efficiency.
Xiaoming Shi, Shiyu Wang, Yuqi Nie
― 6 min read
New method improves accuracy in identifying blood vessels in medical images.
Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu
― 4 min read
Combining time-series and perturbation data improves understanding of cellular networks.
Stephen Y Zhang
― 8 min read
Exploring key enhancements in generating high-quality anime images using NovelAI Diffusion V3.
Juan Ossa, Eren Doğan, Alex Birch
― 5 min read
A new method for real-time graph learning adapts efficiently to changing data.
Hector Chahuara, Gonzalo Mateos
― 5 min read
A study on the importance of evaluation metrics in anomaly detection.
Minjae Ok, Simon Klüttermann, Emmanuel Müller
― 5 min read
A new approach to estimate volcanic aerosol sources and their climate effects.
J. Hart, I. Manickam, M. Gulian
― 7 min read