Marc T. Law
13 papers · 2013–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (22) π Academic Marathon Β· Half π£ Hot Topic Early Bird
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Keyword Collector
(59)
Top co-authors
Research topics
Machine Learning
(12)
Core Methods
(8)
Learning Types
(5)
Optimization & Theory Β· Machine Learning
(5)
Artificial Intelligence
(3)
Deep Learning
(3)
Computer Vision
(2)
Analysis
(2)
Application Areas
(2)
Architectures
(2)
Learning Paradigms
(2)
Core AI Β· Computer Vision
(1)
Core AI Β· Artificial Intelligence
(1)
Optimization & Theory Β· Deep Learning
(1)
Keywords
metric learning
(6)
neural scaling law
(2)
causal structure
(2)
image classification
(1)
adversarial learning
(1)
semi-supervised learning
(1)
domain adaptation
(1)
variational inference
(1)
sample complexity
(1)
convex optimization
(1)
computer vision
(1)
structured prediction
(1)
similarity learning
(1)
large margin
(1)
self-supervised learning
(1)
embedding learning
(1)
weakly supervised learning
(1)
hierarchy extraction
(1)
spectral clustering
(1)
link prediction
(1)
Papers
Neural Spacetimes for DAG Representation Learning
ICLR 2025
Optimizing Data Collection for Machine Learning
JMLR 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
f-Domain Adversarial Learning: Theory and Algorithms
ICML 2021
Self-Supervised Real-to-Sim Scene Generation
ICCV 2021
Video Face Clustering With Unknown Number of Clusters
ICCV 2019
Deep Spectral Clustering Learning
ICML 2017
Efficient Multiple Instance Metric Learning Using Weakly Supervised Data
CVPR 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