Marc T. Law
13 papers · 2013–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (16) π Conference Polyglot (5) π Academic Marathon (12) π§ Keyword Pioneer
π
Conference Polyglot
(5)
π
Interdisciplinary Bridge
π₯
Unstoppable
(5)
π
Conference Pioneer
π
Century Club
(13)
β
The Questioner
Conferences
CVPR (4)
ICCV (3)
ICLR (3)
ICML (2)
JMLR (1)
Top co-authors
Keywords
metric learning
(6)
neural scaling law
(2)
image classification
(1)
adversarial learning
(1)
semi-supervised learning
(1)
spectral clustering
(1)
domain adaptation
(1)
weakly supervised learning
(1)
convex optimization
(1)
computer vision
(1)
structured prediction
(1)
similarity learning
(1)
large margin
(1)
embedding learning
(1)
self-supervised learning
(1)
variational inference
(1)
sample complexity
(1)
unsupervised domain adaptation
(1)
scene graph generation
(1)
representation learning
(1)
Papers
Optimizing Data Collection for Machine Learning
JMLR 2025
Neural Spacetimes for DAG Representation Learning
ICLR 2025
Graph Metanetworks for Processing Diverse Neural Architectures
ICLR 2024
Spacetime Representation Learning
ICLR 2023
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks
CVPR 2022
Self-Supervised Real-to-Sim Scene Generation
ICCV 2021
f-Domain Adversarial Learning: Theory and Algorithms
ICML 2021
Video Face Clustering With Unknown Number of Clusters
ICCV 2019
Efficient Multiple Instance Metric Learning Using Weakly Supervised Data
CVPR 2017
Deep Spectral Clustering Learning
ICML 2017
Closed-Form Training of Mahalanobis Distance for Supervised Clustering
CVPR 2016
Fantope Regularization in Metric Learning
CVPR 2014
Quadruplet-Wise Image Similarity Learning
ICCV 2013