research
∙
03/23/2023
Optimization and Optimizers for Adversarial Robustness
Empirical robustness evaluation (RE) of deep learning models against adv...
share
research
∙
02/17/2023
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective
Federated learning (FL) is a privacy-preserving learning technique that ...
research
∙
10/23/2021
Self-Validation: Early Stopping for Single-Instance Deep Generative Priors
Recent works have shown the surprising effectiveness of deep generative ...
research
∙
06/09/2021
Rethink Transfer Learning in Medical Image Classification
Transfer learning (TL) with deep convolutional neural networks (DCNNs) h...
research
∙
06/03/2021
