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Marc T. Law
Marc T. Law
Research Scientist at NVIDIA
Zweryfikowany adres z nvidia.com - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Deep Spectral Clustering Learning
MT Law, R Urtasun, RS Zemel
International Conference on Machine Learning (ICML), 2017
1622017
Lorentzian distance learning for hyperbolic representations
M Law, R Liao, J Snell, R Zemel
International Conference on Machine Learning, 3672-3681, 2019
1242019
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
1242019
Quadruplet-wise Image Similarity Learning
MT Law, N Thome, M Cord
The IEEE International Conference on Computer Vision (ICCV), 2013
1102013
A Theoretical Analysis of the Number of Shots in Few-Shot Learning
T Cao, MT Law, S Fidler
International Conference on Learning Representations, 2020
922020
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
812021
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
792019
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
472014
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
462017
Low budget active learning via wasserstein distance: An integer programming approach
R Mahmood, S Fidler, MT Law
arXiv preprint arXiv:2106.02968, 2021
432021
Fantope Regularization in Metric Learning
MT Law, N Thome, M Cord
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, 2014
422014
Optimizing Data Collection for Machine Learning
R Mahmood, J Lucas, JM Alvarez, S Fidler, MT Law
Advances in Neural Information Processing Systems, 2022
362022
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
302021
Graph metanetworks for processing diverse neural architectures
D Lim, H Maron, MT Law, J Lorraine, J Lucas
arXiv preprint arXiv:2312.04501, 2023
282023
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
282022
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
272016
Ultrahyperbolic Neural Networks
MT Law
Advances in Neural Information Processing Systems 34, 2021
222021
Ultrahyperbolic Representation Learning
M Law, J Stam
Advances in Neural Information Processing Systems 33, 2020
222020
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
Feature generation for long-tail classification
R Vigneswaran, MT Law, VN Balasubramanian, M Tapaswi
Proceedings of the twelfth Indian conference on computer vision, graphics …, 2021
182021
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