Efficient Adaptive Optimization via Subset-Norm and Subspace-Momentum: Fast, Memory-Reduced Training with Convergence Guaranteesby Thien Hang…
Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Databy Xinran Liu, Yikun…
YOSO: You-Only-Sample-Once via Compressed Sensing for Graph Neural Network Trainingby Yi Li, Zhichun Guo, Guanpeng…
A Quality-Centric Framework for Generic Deepfake Detectionby Wentang Song, Zhiyuan Yan, Yuzhen Lin, Taiping Yao,…
Interpretable Measurement of CNN Deep Feature Density using Copula and the Generalized Characteristic Functionby David…
Distributed-Order Fractional Graph Operating Networkby Kai Zhao, Xuhao Li, Qiyu Kang, Feng Ji, Qinxu Ding,…
Towards Interpreting Language Models: A Case Study in Multi-Hop Reasoningby Mansi SakarvadiaFirst submitted to arxiv…
Labels in Extremes: How Well Calibrated are Extreme Multi-label Classifiers?by Nasib Ullah, Erik Schultheis, Jinbin…
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learnerby Valentyn Melnychuk, Stefan Feuerriegel,…
Confidence Calibration of Classifiers with Many Classesby Adrien LeCoz, Stéphane Herbin, Faouzi AdjedFirst submitted to…