Papers by Jeongyoon Moon
MOSEL: Inference Serving Using Dynamic Modality Selection (2024.emnlp-main)
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| Challenge: | Recent advances in machine learning have enabled deep learning to exceed human capabilities in various tasks. |
| Approach: | They propose a new form of dynamism, modality selection, where modality picks modalities from inference inputs while maintaining the model quality. |
| Outcome: | The proposed system improves system throughput by 3.6 and job completion times by 11 compared to modality-agnostic approaches. |