Search Results for author:
Found 7 papers, 3 papers with code
Universal Debiased Editing on Foundation Models for Fair Medical Image Classification
UDE is capable of mitigating bias both within the FM API embedding and the images themselves.
Content Conditional Debiasing for Fair Text Embedding
We achieve fairness while maintaining utility trade-off by ensuring conditional independence between sensitive attributes and text embeddings conditioned on the content.
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning
Existing Generalized FL (GFL) and Personalized FL (PFL) methods have limitations in balancing performance across both global and local data distributions.
Community-Aware Transformer for Autism Prediction in fMRI Connectome
Investigating functional magnetic resonance imaging (fMRI)-based brain functional connectome can aid in the understanding and diagnosis of ASD, leading to more effective treatments.
LESS: Label-efficient Multi-scale Learning for Cytological Whole Slide Image Screening
We provide appropriate supervision by using slide-level labels to improve the learning of patch-level features.
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations
In this paper, we propose a novel method for fair representation learning with respect to multi-sensitive attributes.
SML:Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction
In light of the smoothness property brought by skip connections in ResNet, this paper proposed the Skip Logit to introduce the skip connection mechanism that fits arbitrary DNN dimensions and embraces similar properties to ResNet.
