Reducing Hyperparameter Tuning Costs in ML, Vision and Language Model Training Pipelines via Memoization-Awarenessby Abdelmajid…
Adaptive Consensus Gradients Aggregation for Scaled Distributed Trainingby Yoni Choukroun, Shlomi Azoulay, Pavel KisilevFirst submitted…
Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noiseby Shuangjie…
RuAG: Learned-rule-augmented Generation for Large Language Modelsby Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang,…
Enhancing Table Representations with LLM-powered Synthetic Data Generationby Dayu Yang, Natawut Monaikul, Amanda Ding, Bozhao…
A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques,…
SPINEX_ Symbolic Regression: Similarity-based Symbolic Regression with Explainable Neighbors Explorationby MZ Naser, Ahmed Z NaserFirst…
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detectionby Geng Yu, Jianing Zhu, Jiangchao Yao, Bo…
Pedestrian Volume Prediction Using a Diffusion Convolutional Gated Recurrent Unit Modelby Yiwei Dong, Tingjin Chu,…
Energy Price Modelling: A Comparative Evaluation of four Generations of Forecasting Methodsby Alexandru-Victor Andrei, Georg…