2016
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification
ICML 2016poster
We propose sparsemax, a new activation function similar to the traditional softmax, but able to output sparse probabilities. After deriving its properties, we show how its Jacobian can be efficiently computed, enabling its use in a network trained with backpropagation. Then, we propose a new smooth…