| 1 |
Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study |
提出PandemicLLM以解决疫情预测中的多模态数据整合问题 |
representation learning large language model |
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| 2 |
Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision |
提出多模态对比学习框架以解决电子健康记录中的数据稀疏问题 |
contrastive learning multimodal |
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| 3 |
Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection |
提出DEXTER以解决强化学习中的OOD检测问题 |
reinforcement learning |
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| 4 |
LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression |
提出LaTiM框架以预测疾病进展 |
representation learning |
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| 5 |
CrimeAlarm: Towards Intensive Intent Dynamics in Fine-grained Crime Prediction |
提出CrimeAlarm框架以解决细粒度犯罪预测中的意图动态问题 |
curriculum learning distillation |
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