They’re All Doctors: Synthesizing Diverse Counterfactuals to Mitigate Associative Biasby Salma Abdel Magid, Jui-Hsien Wang,…
CM2-Net: Continual Cross-Modal Mapping Network for Driver Action Recognitionby Ruoyu Wang, Chen Cai, Wenqian Wang,…
Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgmentsby Han Zhou, Xingchen Wan, Yinhong Liu,…
SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learningby Kaidi Li, Tianmeng Yang, Min Zhou,…
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Modelsby Shuo…
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecastingby Daojun Liang, Haixia Zhang, Dongfeng…
Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?by Neelabh…
Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasksby Peter Samoaa, Mehrdad Farahani, Antonio…
Cross-domain Open-world Discoveryby Shuo Wen, Maria BrbicFirst submitted to arxiv on: 17 Jun 2024CategoriesMain: Machine…
Calibrating Where It Matters: Constrained Temperature Scalingby Stephen McKenna, Jacob CarseFirst submitted to arxiv on:…