Mark Ibrahim
Publications by Year
Research Areas
Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Generative Adversarial Networks and Image Synthesis, Explainable Artificial Intelligence (XAI), Adversarial Robustness in Machine Learning
Most-Cited Works
- → A Cookbook of Self-Supervised Learning(2023)161 cited
- → Global Explanations of Neural Networks(2019)98 cited
- → CrypTen: Secure Multi-Party Computation Meets Machine Learning(2021)62 cited
- → An Introduction to Vision-Language Modeling(2024)33 cited
- → Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks(2023)26 cited
- → A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others(2023)22 cited
- → Global Explanations of Neural Networks: Mapping the Landscape of Predictions(2019)19 cited
- → Towards Explainable Deep Learning for Credit Lending: A Case Study(2018)11 cited
- → ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations(2022)11 cited
- → Grounding inductive biases in natural images:invariance stems from\n variations in data(2021)9 cited