Improving Radiography Machine Learning Workflows via Metadata Management for Training Data Selectionby Mirabel Reid, Christine…
Disentangled Structural and Featural Representation for Task-Agnostic Graph Valuationby Ali Falahati, Mohammad Mohammadi AmiriFirst submitted…
Fairness-Aware Streaming Feature Selection with Causal Graphsby Leizhen Zhang, Lusi Li, Di Wu, Sheng Chen,…
Deep Learning with CNNs: A Compact Holistic Tutorial with Focus on Supervised Regression (Preprint)by Yansel…
Neural-ANOVA: Model Decomposition for Interpretable Machine Learningby Steffen Limmer, Steffen Udluft, Clemens OtteFirst submitted to…
TensorOpera Router: A Multi-Model Router for Efficient LLM Inferenceby Dimitris Stripelis, Zijian Hu, Jipeng Zhang,…
Boosting Graph Neural Network Expressivity with Learnable Lanczos Constraintsby Niloofar Azizi, Nils Kriege, Horst BischofFirst…
Distributed quasi-Newton robust estimation under differential privacyby Chuhan Wang, Lixing Zhu, Xuehu ZhuFirst submitted to…
Fine-tuning Smaller Language Models for Question Answering over Financial Documentsby Karmvir Singh Phogat, Sai Akhil…
Robust Principal Component Analysis via Discriminant Sample Weight Learningby Yingzhuo Deng, Ke Hu, Bo Li,…