Deep Learning
Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images
Survival prediction is a significant challenge in cancer management.
Fight Back Against Jailbreaking via Prompt Adversarial Tuning Yichuan Mo1Y uji Wang 2 Zeming Wei 3 Yisen Wang 1,4 1
While Large Language Models (LLMs) have achieved tremendous success in various applications, they are also susceptible to jailbreaking attacks.
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction Zhihao Y u
Electronic health record (EHR) data has emerged as a valuable resource for analyzing patient health status.
ReFT: Representation Finetuning for Language Models
We pursue this hypothesis by developing a family of Representation Finetuning (ReFT) methods.
Noise-Aware Differentially Private Regression via Meta-Learning
While Differential Privacy (DP) is the gold standard for protecting user privacy, standard DP mechanisms typically significantly impair performance.