Search Results for author:
Found 3 papers, 1 papers with code
Leveraging Semantic Embeddings for Safety-Critical Applications
Semantic Embeddings are a popular way to represent knowledge in the field of zero-shot learning.
Graph Neural Networks for Modelling Traffic Participant Interaction
We show that prediction error in scenarios with much interaction decreases by 30% compared to a model that does not take interactions into account.
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks
We consider adversarial examples for image classification in the black-box decision-based setting.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
