![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
Marc T. Law
Person information
- affiliation: NVIDIA Toronto AI Lab, ON, Canada
- affiliation: University of Toronto, Canada
- affiliation: Vector Institute, Toronto, ON, Canada
- affiliation (PhD 2015): Pierre and Marie Curie University, Paris, France
- affiliation: Sorbonne University, LIP6, Paris, France
Refine list
![note](https://dblp1.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c25]Derek Lim, Haggai Maron, Marc T. Law, Jonathan Lorraine, James Lucas:
Graph Metanetworks for Processing Diverse Neural Architectures. ICLR 2024 - [i14]Haitz Sáez de Ocáriz Borde, Takashi Furuya, Anastasis Kratsios, Marc T. Law:
Breaking the Curse of Dimensionality with Distributed Neural Computation. CoRR abs/2402.03460 (2024) - 2023
- [j2]Viraj Prabhu, David Acuna, Rafid Mahmood, Marc T. Law, Yuan-Hong Liao, Judy Hoffman, Sanja Fidler, James Lucas:
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. Trans. Mach. Learn. Res. 2023 (2023) - [c24]Marc T. Law, James Lucas:
Spacetime Representation Learning. ICLR 2023 - [i13]Viraj Prabhu, David Acuna, Andrew Liao, Rafid Mahmood, Marc T. Law, Judy Hoffman, Sanja Fidler, James Lucas:
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. CoRR abs/2302.04832 (2023) - [i12]Derek Lim, Haggai Maron, Marc T. Law, Jonathan Lorraine, James Lucas:
Graph Metanetworks for Processing Diverse Neural Architectures. CoRR abs/2312.04501 (2023) - 2022
- [c23]Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law:
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CVPR 2022: 275-284 - [c22]David Acuna, Marc T. Law, Guojun Zhang, Sanja Fidler:
Domain Adversarial Training: A Game Perspective. ICLR 2022 - [c21]Rafid Mahmood, Sanja Fidler, Marc T. Law:
Low-Budget Active Learning via Wasserstein Distance: An Integer Programming Approach. ICLR 2022 - [c20]Rafid Mahmood, James Lucas, José M. Álvarez, Sanja Fidler, Marc T. Law:
Optimizing Data Collection for Machine Learning. NeurIPS 2022 - [i11]David Acuna, Marc T. Law, Guojun Zhang, Sanja Fidler:
Domain Adversarial Training: A Game Perspective. CoRR abs/2202.05352 (2022) - [i10]Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law:
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CoRR abs/2207.01725 (2022) - [i9]Rafid Mahmood, James Lucas, José M. Álvarez, Sanja Fidler, Marc T. Law:
Optimizing Data Collection for Machine Learning. CoRR abs/2210.01234 (2022) - 2021
- [c19]Aayush Prakash, Shoubhik Debnath, Jean-Francois Lafleche, Eric Cameracci, Gavriel State, Stan Birchfield, Marc T. Law:
Self-Supervised Real-to-Sim Scene Generation. ICCV 2021: 16024-16034 - [c18]David Acuna, Guojun Zhang, Marc T. Law, Sanja Fidler:
f-Domain Adversarial Learning: Theory and Algorithms. ICML 2021: 66-75 - [c17]Rahul Vigneswaran, Marc T. Law, Vineeth N. Balasubramanian, Makarand Tapaswi:
Feature generation for long-tail classification. ICVGIP 2021: 41:1-41:9 - [i8]Rafid Mahmood, Sanja Fidler, Marc T. Law:
Low Budget Active Learning via Wasserstein Distance: An Integer Programming Approach. CoRR abs/2106.02968 (2021) - [i7]David Acuna, Guojun Zhang, Marc T. Law, Sanja Fidler:
f-Domain-Adversarial Learning: Theory and Algorithms. CoRR abs/2106.11344 (2021) - [i6]Rahul Vigneswaran, Marc T. Law, Vineeth N. Balasubramanian, Makarand Tapaswi:
Feature Generation for Long-tail Classification. CoRR abs/2111.05956 (2021) - 2020
- [c16]Tianshi Cao, Marc T. Law, Sanja Fidler:
A Theoretical Analysis of the Number of Shots in Few-Shot Learning. ICLR 2020 - [c15]Marc T. Law, Jos Stam:
Ultrahyperbolic Representation Learning. NeurIPS 2020 - [i5]Marc T. Law, Jos Stam:
Ultrahyperbolic Representation Learning. CoRR abs/2007.00211 (2020) - [i4]Aayush Prakash, Shoubhik Debnath, Jean-Francois Lafleche, Eric Cameracci, Gavriel State, Marc T. Law:
Sim2SG: Sim-to-Real Scene Graph Generation for Transfer Learning. CoRR abs/2011.14488 (2020)
2010 – 2019
- 2019
- [c14]Jixuan Wang, Kuan-Chieh Wang, Marc T. Law, Frank Rudzicz, Michael Brudno:
Centroid-based Deep Metric Learning for Speaker Recognition. ICASSP 2019: 3652-3656 - [c13]Makarand Tapaswi, Marc T. Law, Sanja Fidler:
Video Face Clustering With Unknown Number of Clusters. ICCV 2019: 5026-5035 - [c12]Marc T. Law, Jake Snell, Amir-massoud Farahmand, Raquel Urtasun, Richard S. Zemel:
Dimensionality Reduction for Representing the Knowledge of Probabilistic Models. ICLR (Poster) 2019 - [c11]Marc Teva Law, Renjie Liao, Jake Snell, Richard S. Zemel:
Lorentzian Distance Learning for Hyperbolic Representations. ICML 2019: 3672-3681 - [i3]Jixuan Wang, Kuan-Chieh Wang, Marc T. Law, Frank Rudzicz, Michael Brudno:
Centroid-based deep metric learning for speaker recognition. CoRR abs/1902.02375 (2019) - [i2]Makarand Tapaswi, Marc T. Law, Sanja Fidler:
Video Face Clustering with Unknown Number of Clusters. CoRR abs/1908.03381 (2019) - [i1]Tianshi Cao
, Marc T. Law, Sanja Fidler:
A Theoretical Analysis of the Number of Shots in Few-Shot Learning. CoRR abs/1909.11722 (2019) - 2018
- [c10]Marc T. Law, Paul Weng:
Representing Relative Visual Attributes with a Reference-Point-Based Decision Model. ICPR 2018: 435-440 - 2017
- [j1]Marc T. Law, Nicolas Thome, Matthieu Cord:
Learning a Distance Metric from Relative Comparisons between Quadruplets of Images. Int. J. Comput. Vis. 121(1): 65-94 (2017) - [c9]Marc T. Law, Yaoliang Yu, Raquel Urtasun, Richard S. Zemel, Eric P. Xing:
Efficient Multiple Instance Metric Learning Using Weakly Supervised Data. CVPR 2017: 5948-5956 - [c8]Marc T. Law, Raquel Urtasun, Richard S. Zemel:
Deep Spectral Clustering Learning. ICML 2017: 1985-1994 - 2016
- [c7]Marc T. Law, Yaoliang Yu, Matthieu Cord, Eric P. Xing:
Closed-Form Training of Mahalanobis Distance for Supervised Clustering. CVPR 2016: 3909-3917 - 2015
- [b1]Marc Teva Law:
Distance metric learning for image and webpage comparison. (Apprentissage de distance pour la comparaison d'images et de pages Web). Pierre and Marie Curie University, Paris, France, 2015 - [c6]Marc Teva Law, Nicolas Thome, Stéphane Gançarski, Matthieu Cord:
Apprentissage de métrique appliqué à la détection de changement de page Web et aux attributs relatifs. CORIA 2015: 223-238 - 2014
- [c5]Marc T. Law, Nicolas Thome, Matthieu Cord:
Fantope Regularization in Metric Learning. CVPR 2014: 1051-1058 - [p1]Marc T. Law, Nicolas Thome, Matthieu Cord:
Bag-of-Words Image Representation: Key Ideas and Further Insight. Fusion in Computer Vision 2014: 29-52 - 2013
- [c4]Marc T. Law, Nicolas Thome, Matthieu Cord:
Quadruplet-Wise Image Similarity Learning. ICCV 2013: 249-256 - 2012
- [c3]Marc T. Law, Carlos Sureda Gutierrez, Nicolas Thome, Stéphane Gançarski:
Structural and visual similarity learning for Web page archiving. CBMI 2012: 1-6 - [c2]Marc Teva Law, Nicolas Thome, Stéphane Gançarski, Matthieu Cord:
Structural and visual comparisons for web page archiving. ACM Symposium on Document Engineering 2012: 117-120 - [c1]Marc T. Law, Nicolas Thome, Matthieu Cord:
Hybrid Pooling Fusion in the BoW Pipeline. ECCV Workshops (3) 2012: 355-364
Coauthor Index
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-02 20:22 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint