2020
Decoding As Dynamic Programming For Recurrent Autoregressive Models
ICLR 2020poster
Decoding in autoregressive models (ARMs) consists of searching for a high scoring output sequence under the trained model. Standard decoding methods, based on unidirectional greedy algorithm or beam search, are suboptimal due to error propagation and myopic decisions which do not account for future…