Papers by Mattia Opper
StrAE: Autoencoding for Pre-Trained Embeddings using Explicit Structure (2023.emnlp-main)
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| Challenge: | Structured Autoencoder framework StrAE enables effective learning of multi-level representations through strict adherence to explicit structure. |
| Approach: | They propose a Structured Autoencoder framework that strictly adheres to explicit structure and uses a contrastive objective over tree-structured representations. |
| Outcome: | The proposed framework outperforms baselines that don’t involve explicit hierarchical compositions and is comparable to models given informative structure. |