Jay Bear

Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints

Iterative algorithms solve problems by taking steps until a solution is reached. Models in the form of Deep Thinking (DT) networks have been demonstrated to learn iterative algorithms in a way that can scale to different sized problems at inference time using recurrent computation and convolutions.…