Heiko Hoffmann
5 papers · 2018–2021 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(17)
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Hot Topic Early Bird
🧭
Keyword Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(5)
Core Methods
(4)
Deep Learning
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Architectures
(2)
Core AI · Artificial Intelligence
(2)
Learning Types
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Core AI · Computer Vision
(1)
Mathematics
(1)
Models
(1)
Optimization
(1)
Keywords
sliced wasserstein distance
(2)
stochastic gradient descent
(1)
metric learning
(1)
parameter estimation
(1)
graph classification
(1)
embedding learning
(1)
optimal transport
(1)
adversarial machine learning
(1)
expectation maximization
(1)
network security
(1)
distribution matching
(1)
graph embedding
(1)
saliency map
(1)
backdoor attack
(1)
gaussian mixture model
(1)
convolutional neural network
(1)
node embedding
(1)
set representation learning
(1)
point cloud classification
(1)
graph convolutional neural network
(1)
Papers
Pooling by Sliced-Wasserstein Embedding
NeurIPS 2021
Wasserstein Embedding for Graph Learning
ICLR 2021
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs
CVPR 2020
Explainability Methods for Graph Convolutional Neural Networks
CVPR 2019
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
CVPR 2018