most citedBidirectional Representation Learning from Transformers using Multimodal Electronic Health Record Data to Predict Depression

128 citations · 128 across the 2 of their papers we have counts for

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cs.LG2026

ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning

Ruizhong Qiu, Hanqing Zeng, Yinglong Xia +15

Low-rank adapters (LoRAs) are a parameter-efficient finetuning technique that injects trainable low-rank matrices into pretrained models to adapt them to new tasks. Mixture-of-LoRA…

cs.LG2020★ 128 cited

Bidirectional Representation Learning from Transformers using Multimodal Electronic Health Record Data to Predict Depression

Yiwen Meng, William Speier, Michael K. Ong +1

Advancements in machine learning algorithms have had a beneficial impact on representation learning, classification, and prediction models built using electronic health record (EHR…