Non-fungible tokens(NFTs) are on the rise. They can represent artworks
e...
Machine Learning (ML) has become a valuable asset to solve many real-wor...
Pre-trained language models have led to a new state-of-the-art in many N...
Deep learning has made tremendous progress in the last decade. A key suc...
Foundation models can be disruptive for future AI development by scaling...
We propose to generate adversarial samples by modifying activations of u...
Interpreting a large number of neurons in deep learning is difficult. Ou...
The learning dynamics of deep neural networks are subject to controversy...
We introduce informational punishment to the design of mechanisms that
c...
Autograding short textual answers has become much more feasible due to t...
The data distribution commonly evolves over time leading to problems suc...
While the potential of deep learning(DL) for automating simple tasks is
...
Humans possess a remarkable capability to make fast, intuitive decisions...
Artificial Intelligence (AI) governance regulates the exercise of author...
Humans rely more and more on systems with AI components. The AI communit...
In an increasingly autonomous manner AI systems make decisions impacting...
To derive explanations for deep learning models, ie. classifiers, we pro...
Spatial data exhibits the property that nearby points are correlated. Th...
Artificial intelligence comes with great opportunities and but also grea...
Artificial intelligence(AI) systems and humans communicate more and more...
We discuss training techniques, objectives and metrics toward mass
perso...
This work investigates fundamental questions related to locating and def...
Current topic models often suffer from discovering topics not matching h...
All methodologies for detecting plagiarism to date have focused on the f...