Papers with Bayesian sparsification technique
Bayesian Compression for Natural Language Processing (D18-1)
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| Challenge: | In natural language processing, recurrent neural networks have a huge number of parameters. |
| Approach: | They propose a Bayesian sparsification technique which allows compressing RNNs dozens or hundreds of times without time-consuming hyperparameters tuning. |
| Outcome: | The proposed technique compresses the RNN dozens or hundreds of times without time-consuming hyperparameters tuning. |