Task-Driven Modular Networks for Zero-Shot Compositional Learning
Task-Driven Modular Networks for Zero-Shot Compositional Learning
One of the hallmarks of human intelligence is the ability to compose learned knowledge into novel concepts which can be recognized without a single training example. In contrast, current state-of-the-art methods require hundreds of training examples for each possible category to build reliable and accurate classifiers. To alleviate this striking …