ML Anthology

Veldhuis, Raymond

7 publications

UAI 2025 BELIEF - Bayesian Sign Entropy Regularization for LIME Framework Revoti Prasad Bora, Philipp Terhörst, Raymond Veldhuis, Raghavendra Ramachandra, Kiran Raja
CVPR 2025 Do ImageNet-Trained Models Learn Shortcuts? the Impact of Frequency Shortcuts on Generalization Shunxin Wang, Raymond Veldhuis, Nicola Strisciuglio
CVPR 2024 SLICE: Stabilized LIME for Consistent Explanations for Image Classification Revoti Prasad Bora, Philipp Terhörst, Raymond Veldhuis, Raghavendra Ramachandra, Kiran Raja
TMLR 2023 Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks Zahra Atashgahi, Xuhao Zhang, Neil Kichler, Shiwei Liu, Lu Yin, Mykola Pechenizkiy, Raymond Veldhuis, Decebal Constantin Mocanu
ICCV 2023 What Do Neural Networks Learn in Image Classification? a Frequency Shortcut Perspective Shunxin Wang, Raymond Veldhuis, Christoph Brune, Nicola Strisciuglio
NeurIPSW 2022 Frequency Shortcut Learning in Neural Networks Shunxin Wang, Raymond Veldhuis, Christoph Brune, Nicola Strisciuglio
WACV 2020 Detecting Morphed Face Attacks Using Residual Noise from Deep Multi-Scale Context Aggregation Network Sushma Venkatesh, Raghavendra Ramachandra, Kiran Raja, Luuk Spreeuwers, Raymond Veldhuis, Christoph Busch