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Max Lapin
Max Lapin
Researcher, Stability AI
Verified email at stability.ai - Homepage
Title
Cited by
Cited by
Year
Learning using privileged information: SVM+ and weighted SVM
M Lapin, M Hein, B Schiele
Neural Networks 53, 95-108, 2014
1602014
Analysis and optimization of loss functions for multiclass, top-k, and multilabel classification
M Lapin, M Hein, B Schiele
IEEE transactions on pattern analysis and machine intelligence 40 (7), 1533-1554, 2017
1082017
Top-k Multiclass SVM
M Lapin, M Hein, B Schiele
Advances in Neural Information Processing Systems (NIPS 2015), 325-333, 2015
1022015
Loss Functions for Top-k Error: Analysis and Insights
M Lapin, M Hein, B Schiele
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), 2016
962016
Scalable Multitask Representation Learning for Scene Classification
M Lapin, B Schiele, M Hein
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014), 2014
602014
Efficient Output Kernel Learning for Multiple Tasks
P Jawanpuria, M Lapin, M Hein, B Schiele
Advances in Neural Information Processing Systems (NIPS 2015), 1189-1197, 2015
382015
SHAVE: stochastic hybrid analysis of markov population models
M Lapin, L Mikeev, V Wolf
Proceedings of the 14th international conference on Hybrid systems …, 2011
262011
Machine learning system to score alt-text in image data
L Bazzani, M Lapin, F Hieber, T Domhan
US Patent 11,361,212, 2022
62022
Contrastive language-action pre-training for temporal localization
M Xu, E Gundogdu, M Lapin, B Ghanem, M Donoser, L Bazzani
arXiv preprint arXiv:2204.12293, 2022
52022
Image classification with limited training data and class ambiguity
M Lapin
12017
Virtual/augmented reality data evaluation
BS Bowman, M Lapin, LP Dirac
US Patent 11,853,390, 2023
2023
Simplex Coding and Supervised Dictionary Learning
M Lapin
Saarland University, 2012
2012
Scalable Multitask Representation Learning for Scene Classification Supplementary Material
M Lapin, B Schiele, M Hein
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