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Found 2 papers, 1 papers with code
Self-Enhancing Multi-filter Sequence-to-Sequence Model
As for the main contribution, we design a self-enhancing mechanism that uses a reinforcement learning algorithm to optimize the clustering algorithm without additional training data.
Training Heterogeneous Features in Sequence to Sequence Tasks: Latent Enhanced Multi-filter Seq2Seq Model
A latent space transformation is applied for enhancing the quality of the representations.
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