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cs.LG2019
Cost-Sensitive Training for Autoregressive Models
Irina Saparina, Anton Osokin
Training autoregressive models to better predict under the test metric, instead of maximizing the likelihood, has been reported to be beneficial in several use cases but brings add…
cs.LG2019★ 1 cited
Scaling Matters in Deep Structured-Prediction Models
Aleksandr Shevchenko, Anton Osokin
Deep structured-prediction energy-based models combine the expressive power of learned representations and the ability of embedding knowledge about the task at hand into the system…