Heiko Hoffmann
5 papers · 2018–2021 · 3 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (3) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer
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Hot Topic Early Bird
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Cross-Pollinator
(15)
Conferences
CVPR (3)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
stochastic gradient descent
(1)
parameter estimation
(1)
embedding learning
(1)
optimal transport
(1)
adversarial machine learning
(1)
expectation maximization
(1)
sliced wasserstein distance
(1)
network security
(1)
distribution matching
(1)
saliency map
(1)
backdoor attack
(1)
gaussian mixture model
(1)
convolutional neural network
(1)
sliced-wasserstein distance
(1)
set representation learning
(1)
point cloud classification
(1)
graph convolutional neural network
(1)
feature pooling
(1)
class activation mapping
(1)
explainability method
(1)
Papers
Pooling by Sliced-Wasserstein Embedding
NIPS 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