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Video prediction is a challenging task. The quality of video frames from current state-of-the-art (SOTA) generative models tends to be …
Recent work has seen the development of general purpose neural architectures that can be trained to perform tasks across diverse data …
We study the generalisation properties of majority voting on finite ensembles of classifiers, proving margin-based generalisation …
Semantic segmentation is a popular task that has piqued the interest of many industries and research communities. However, acquiring …
Natural image matting is the task of precisely estimating alpha mattes to separate foreground objects from background images. Existing …
The artificial intelligence research community is continuing to grapple with the ethics of their work by encouraging researchers to …
We study settings where gradient penalties are used alongside risk minimization with the goal of obtaining predictors satisfying …
Rapid development of large-scale pre-training has resulted in foundation models that can act as effective feature extractors on a …
The standard formulation of Reinforcement Learning lacks a practical way of specifying what are admissible and forbidden behaviors. …
The estimation of time-varying quantities is a fundamental component of decision making in fields such as healthcare and finance. …