Creative Natural Language Generation
A subfield of natural language processing focused on generating creative and contextually relevant text.
A subfield of natural language processing focused on generating creative and contextually relevant text.
A learning paradigm where a model is able to generalize to new tasks without having seen any examples of those tasks during training.
An optimization framework that utilizes meta-learning techniques to improve the performance of black-box optimization methods across various tasks.
The additional resources and time required to manage and control a system, which can impact overall performance.
The ability to perform tasks using minimal energy, particularly important in the design of communication systems to reduce power consumption.
A family of loss functions that generalizes the notion of distance between points in a convex space.
An integrated approach to designing hardware and software systems together to optimize performance and efficiency.
Computing hardware designed to mimic the neural structure and functioning of the human brain, often used for energy-efficient processing of neural networks.
A computation method that combines both analog and digital signals to perform processing tasks.
A graph where edges have a direction, representing relationships between nodes that can evolve over time.