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Marc T. Law
Marc T. Law
Research Scientist at NVIDIA
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
Deep Spectral Clustering Learning
MT Law, R Urtasun, RS Zemel
International Conference on Machine Learning (ICML), 2017
1612017
Centroid-based deep metric learning for speaker recognition
J Wang, KC Wang, MT Law, F Rudzicz, M Brudno
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
1232019
Lorentzian distance learning for hyperbolic representations
M Law, R Liao, J Snell, R Zemel
International Conference on Machine Learning, 3672-3681, 2019
1142019
Quadruplet-wise Image Similarity Learning
MT Law, N Thome, M Cord
The IEEE International Conference on Computer Vision (ICCV), 2013
1112013
A Theoretical Analysis of the Number of Shots in Few-Shot Learning
T Cao, MT Law, S Fidler
International Conference on Learning Representations, 2020
892020
Video face clustering with unknown number of clusters
M Tapaswi, MT Law, S Fidler
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
762019
f-Domain-Adversarial Learning: Theory and Algorithms
D Acuna, G Zhang, MT Law, S Fidler
International Conference on Machine Learning (ICML) 139, 3672-3681, 2021
732021
Bag-of-words image representation: Key ideas and further insight
MT Law, N Thome, M Cord
Fusion in Computer Vision: Understanding Complex Visual Content, 29-52, 2014
482014
Low budget active learning via wasserstein distance: An integer programming approach
R Mahmood, S Fidler, MT Law
arXiv preprint arXiv:2106.02968, 2021
442021
Learning a Distance Metric from Relative Comparisons between Quadruplets of Images
MT Law, N Thome, M Cord
International Journal of Computer Vision, 1-30, 2017
442017
Fantope Regularization in Metric Learning
MT Law, N Thome, M Cord
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, 2014
412014
Self-Supervised Real-to-Sim Scene Generation
A Prakash, S Debnath, JF Lafleche, E Cameracci, G State, S Birchfield, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
29*2021
Closed-Form Training of Mahalanobis Distance for Supervised Clustering
MT Law, Y Yu, M Cord, EP Xing
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
282016
Optimizing Data Collection for Machine Learning
R Mahmood, J Lucas, JM Alvarez, S Fidler, MT Law
Advances in Neural Information Processing Systems, 2022
272022
How much more data do i need? estimating requirements for downstream tasks
R Mahmood, J Lucas, D Acuna, D Li, J Philion, JM Alvarez, Z Yu, S Fidler, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
272022
Graph metanetworks for processing diverse neural architectures
D Lim, H Maron, MT Law, J Lorraine, J Lucas
arXiv preprint arXiv:2312.04501, 2023
222023
Ultrahyperbolic Representation Learning
M Law, J Stam
Advances in Neural Information Processing Systems 33, 2020
212020
Ultrahyperbolic Neural Networks
MT Law
Advances in Neural Information Processing Systems 34, 2021
192021
Structural and visual similarity learning for web page archiving
MT Law, CS Gutierrez, N Thome, S Gançarski, M Cord
2012 10th International Workshop on Content-Based Multimedia Indexing (CBMI …, 2012
192012
Structural and visual comparisons for web page archiving
MT Law, N Thome, S Gançarski, M Cord
Proceedings of the 2012 ACM symposium on Document engineering, 117-120, 2012
162012
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Articles 1–20