1.8k citations · 4.6k across the 57 of their papers we have counts for
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Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration
Emanuel Sanchez Aimar, Nathaniel Helgesen, Yonghao Xu +2
Long-tailed semi-supervised learning (LTSSL) represents a practical scenario for semi-supervised applications, challenged by skewed labeled distributions that bias classifiers. Thi…
O Learning Deep O()-Equivariant Hyperspheres
Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck +2
In this paper, we utilize hyperspheres and regular -simplexes and propose an approach to learning deep features equivariant under the transformations of D reflections and rot…
Graph Representation Learning for Road Type Classification
Zahra Gharaee, Shreyas Kowshik, Oliver Stromann +1
We present a novel learning-based approach to graph representations of road networks employing state-of-the-art graph convolutional neural networks. Our approach is applied to real…
Embed Me If You Can: A Geometric Perceptron
Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck
Solving geometric tasks involving point clouds by using machine learning is a challenging problem. Standard feed-forward neural networks combine linear or, if the bias parameter is…