Papers with auto encoding

2 papers
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation (P18-1)

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Challenge: Existing encoder-decoder dialog models cannot output interpretable actions as in traditional systems.
Approach: They propose an unsupervised discrete sentence representation learning method that integrates with existing encoder-decoder dialog models for interpretable response generation.
Outcome: The proposed model can be integrated with existing encoder-decoder dialog models and discover interpretable semantics via either auto encoding or context predicting.
MedCycle: Unpaired Medical Report Generation via Cycle-Consistency (2024.findings-naacl)

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Challenge: Generating medical reports for X-ray images presents a significant challenge . previous studies have required a specific labeling schema for images and reports .
Approach: They propose a cycle-consistent mapping function that transforms image embeddings into report embedds and auto-encoding for medical report generation.
Outcome: The proposed approach outperforms state-of-the-art results in unpaired chest X-ray report generation, showing improvements in both language and clinical metrics.

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