Learn how deep reinforcement learning enhances scheduling in the furniture industry.
Malte Schneevogt, Karsten Binninger, Noah Klarmann
― 5 min read
Computer Science - Machine Learning
RSSThis approach simplifies choosing effective pretraining datasets for language models.
Tristan Thrush, Christopher Potts, Tatsunori Hashimoto
― 8 min read
This paper discusses how tactile sensing enhances robot interaction with humans of varying abilities.
William van den Bogert, Madhavan Iyengar, Nima Fazeli
― 6 min read
A study comparing LLMs Mistral and LLaMa on different GPUs.
Yannis Bendi-Ouis, Dan Dutarte, Xavier Hinaut
― 7 min read
A look at how natural gradient descent improves learning efficiency over time.
Lucas Shoji, Kenta Suzuki, Leo Kozachkov
― 5 min read
This study shows how response times can enhance understanding of user preferences.
Shen Li, Yuyang Zhang, Zhaolin Ren
― 6 min read
Examining the accuracy issues in large language models and their societal effects.
Sourav Banerjee, Ayushi Agarwal, Saloni Singla
― 6 min read
A new approach improves detection of irregularities in industrial data using edge computing.
Alessio Mascolini, Sebastiano Gaiardelli, Francesco Ponzio
― 5 min read
This research evaluates a new model for estimating treatment effects in individuals.
Hugo Gobato Souto, Francisco Louzada Neto
― 7 min read
Enhancing Naive Bayes model accuracy using optimal data projections.
David P. Hofmeyr, Francois Kamper, Michail M. Melonas
― 6 min read
New methods enhance video summarization accuracy while reducing computational costs.
Ashish Prasad, Pranav Jeevan, Amit Sethi
― 5 min read
Examining strategies for improving feature learning in imbalanced datasets.
Tomoyuki Obuchi, Toshiyuki Tanaka
― 7 min read
Introducing a model that combines classic methods with deep learning for better insurance predictions.
Ronald Richman, Salvatore Scognamiglio, Mario V. Wüthrich
― 7 min read
RAGProbe automates the evaluation of RAG systems, improving their performance and reliability.
Shangeetha Sivasothy, Scott Barnett, Stefanus Kurniawan
― 6 min read
AutoSTF automates spatio-temporal forecasting for better predictions and efficiency.
Tengfei Lyu, Weijia Zhang, Jinliang Deng
― 5 min read
Exploring 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