Szeto, Justin

1. Accounting for Variance in Machine Learning Benchmarks
   2021/03/01 by Xavier Bouthillier, Bouthillier, Xavier, Pierre Delaunay +31 · 2 voices · 17 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
2. Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis
   2023/07/04 by Shui, Changjian, Szeto, Justin, Mehta, Raghav +2 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
3. Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification
   2025/06/29 by Xing‐Xing Shen, Justin Szeto, Shen, Xing +7 · 2 citations
   Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
4. KerJEPA: Kernel Discrepancies for Euclidean Self-Supervised Learning
   2025/12/22 by Eric Zimmermann, Harley Wiltzer, Zimmermann, Eric +7 · 1 citation
   Computer Science · #Neural Networks and Applications #Domain Adaptation and Few-Shot Learning #Gaussian Processes and Bayesian Inference