Dongdong Chen

Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis

2019 · arXiv (Cornell University)

Computer-aided breast cancer diagnosis in mammography is limited by inadequate data and the similarity between benign and cancerous masses. To address this, we propose a signed graph regularized deep neural network with adversarial augmentation, named …

Residual Mixture of Experts

2022 · arXiv (Cornell University)

Mixture of Experts (MoE) is able to scale up vision transformers effectively. However, it requires prohibiting computation resources to train a large MoE transformer. In this paper, we propose Residual Mixture of Experts (RMoE), an …

Diversity-Aware Meta Visual Prompting

2023

We present Diversity-Aware Meta Visual Prompting (DAM-VP), an efficient and effective prompting method for transferring pre-trained models to downstream tasks with frozen backbone. A challenging issue in visual prompting is that image datasets sometimes have …