It has long been established that predictive models can be transformed i...
Transformers have impressive generalization capabilities on tasks with a...
Memory-based meta-learning is a technique for approximating Bayes-optima...
Meta-training agents with memory has been shown to culminate in Bayes-op...
Reliable generalization lies at the heart of safe ML and AI. However,
un...
Fair representation learning encodes user data to ensure fairness and
ut...
Fair representation learning is an attractive approach that promises fai...
The use of deep 3D point cloud models in safety-critical applications, s...
Recent work has exposed the vulnerability of computer vision models to
s...
To effectively enforce fairness constraints one needs to define an
appro...