Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Matthew Blaschko

R-GAP: Recursive Gradient Attack on Privacy

Oct 15, 2020
Junyi Zhu, Matthew Blaschko

  Access Paper or Ask Questions

Commands 4 Autonomous Vehicles (C4AV) Workshop Summary

Sep 18, 2020
Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, Luc Van Gool, Matthew Blaschko, Tinne Tuytelaars, Marie-Francine Moens

  Access Paper or Ask Questions

Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs

Mar 05, 2020
Huy Hoang Nguyen, Simo Saarakkala, Matthew Blaschko, Aleksei Tiulpin

* 10 pages, 2 supplementary pages, manuscript under review 

  Access Paper or Ask Questions

Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice

Nov 05, 2019
Jeroen Bertels, Tom Eelbode, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew Blaschko

* LNCS 11765, Springer Nature Switzerland AG 2019 
* MICCAI 2019 

  Access Paper or Ask Questions

Generating superpixels using deep image representations

Mar 11, 2019
Thomas Verelst, Matthew Blaschko, Maxim Berman

  Access Paper or Ask Questions

Scattering Networks for Hybrid Representation Learning

Sep 17, 2018
Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew Blaschko, Eugene Belilovsky

* IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2018, pp.11 
* arXiv admin note: substantial text overlap with arXiv:1703.08961 

  Access Paper or Ask Questions

Learning to Discover Sparse Graphical Models

Aug 03, 2017
Eugene Belilovsky, Kyle Kastner, Gaël Varoquaux, Matthew Blaschko

  Access Paper or Ask Questions

The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses

May 15, 2017
Jiaqian Yu, Matthew Blaschko

  Access Paper or Ask Questions

A Convex Surrogate Operator for General Non-Modular Loss Functions

Apr 12, 2016
Jiaqian Yu, Matthew Blaschko

* in The 19th International Conference on Artificial Intelligence and Statistics, May 2016, Cadiz, Spain 

  Access Paper or Ask Questions

A U-statistic Approach to Hypothesis Testing for Structure Discovery in Undirected Graphical Models

Apr 06, 2016
Wacha Bounliphone, Matthew Blaschko

  Access Paper or Ask Questions

A low variance consistent test of relative dependency

May 27, 2015
Wacha Bounliphone, Arthur Gretton, Arthur Tenenhaus, Matthew Blaschko

* International Conference on Machine Learning, Jul 2015, Lille, France 

  Access Paper or Ask Questions

B-tests: Low Variance Kernel Two-Sample Tests

Feb 10, 2014
Wojciech Zaremba, Arthur Gretton, Matthew Blaschko

* Neural Information Processing Systems (2013) 

  Access Paper or Ask Questions

Fine-Grained Visual Classification of Aircraft

Jun 21, 2013
Subhransu Maji, Esa Rahtu, Juho Kannala, Matthew Blaschko, Andrea Vedaldi

  Access Paper or Ask Questions

A Note on k-support Norm Regularized Risk Minimization

Mar 27, 2013
Matthew Blaschko

  Access Paper or Ask Questions