The effect of smooth parametrizations on nonconvex optimization landscapes. (arXiv:2207.03512v1 [math.OC]) http://arxiv.org/abs/2207.03512
False Negative Reduction in Semantic Segmentation under Domain Shift using Depth Estimation. (arXiv:2207.03513v1 [cs.CV]) http://arxiv.org/abs/2207.03513
HierarchicalForecast: A Python Benchmarking Framework for Hierarchical Forecasting. (arXiv:2207.03517v1 [stat.ML]) http://arxiv.org/abs/2207.03517
The Complexity of Proportionality Degree in Committee Elections. (arXiv:2207.03518v1 [cs.GT]) http://arxiv.org/abs/2207.03518
Improving the accuracy of discretisations of the vector transport equation on the lowest-order quadrilateral Raviart-Thomas finite elements. (arXiv:2207.03519v1 [math.NA]) http://arxiv.org/abs/2207.03519
Efficient fine-grained road segmentation using superpixel-based CNN and CRF models. (arXiv:2207.02844v1 [cs.CV]) http://arxiv.org/abs/2207.02844
Automating the Design and Development of Gradient Descent Trained Expert System Networks. (arXiv:2207.02845v1 [cs.LG]) http://arxiv.org/abs/2207.02845
Local Sample-weighted Multiple Kernel Clustering with Consensus Discriminative Graph. (arXiv:2207.02846v1 [cs.LG]) http://arxiv.org/abs/2207.02846
Scoring Rules for Performative Binary Prediction. (arXiv:2207.02847v1 [cs.LG]) http://arxiv.org/abs/2207.02847
A domain-specific language for describing machine learning dataset. (arXiv:2207.02848v1 [cs.LG]) http://arxiv.org/abs/2207.02848
Betty: An Automatic Differentiation Library for Multilevel Optimization. (arXiv:2207.02849v1 [cs.LG]) http://arxiv.org/abs/2207.02849
Tensor networks in machine learning. (arXiv:2207.02851v1 [quant-ph]) http://arxiv.org/abs/2207.02851
Machine Learning Model Sizes and the Parameter Gap. (arXiv:2207.02852v1 [cs.LG]) http://arxiv.org/abs/2207.02852
Optimal design of compliant displacement magnification mechanisms using stress-constrained topology optimization based on effective energy. (arXiv:2207.02853v1 [cs.CE]) http://arxiv.org/abs/2207.02853
Perfusion imaging in deep prostate cancer detection from mp-MRI: can we take advantage of it?. (arXiv:2207.02854v1 [eess.IV]) http://arxiv.org/abs/2207.02854
Transfer Learning for Rapid Extraction of Thickness from Optical Spectra of Semiconductor Thin Films. (arXiv:2207.02209v1 [cs.LG]) http://arxiv.org/abs/2207.02209
Combining Topic Modeling with Grounded Theory: Case Studies of Project Collaboration. (arXiv:2207.02212v1 [cs.HC]) http://arxiv.org/abs/2207.02212
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets. (arXiv:2207.02238v1 [cs.LG]) http://arxiv.org/abs/2207.02238
Guiding Machine Perception with Psychophysics. (arXiv:2207.02241v1 [cs.CV]) http://arxiv.org/abs/2207.02241
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks. (arXiv:2207.02242v1 [cs.LG]) http://arxiv.org/abs/2207.02242
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