Learning to Learn (L2L) is a TensorFlow implementation of 'Learning to learn by gradient descent by gradient descent', a fully differentiable approach which learns optimization algorithms by optimizing them.
14 Jun 2016
This blog introduces a new long-range memory model, the Compressive Transformer, alongside a new benchmark for...
10 Feb 2020
Specification gaming is a behaviour that satisfies the literal specification of an objective without achieving the...
21 Apr 2020