My research interests lie in computer vision and deep learning. Currently, I am mostly interested in understanding various properties of AI models beyond their performance, such as explainability, interpretability, generalization, fairness and bias.
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What Do We Maximize in Self-Supervised Learning?
07/20/2022 ∙ by Ravid Shwartz-Ziv ∙
Why Do Networks Need Negative Weights?
08/05/2022 ∙ by Qingyang Wang ∙
What do Deep Neural Networks Learn in Medical Images?
08/01/2022 ∙ by Beentherize ∙
Contributions of Shape, Texture, and Color in Visual Recognition
07/19/2022 ∙ by Yunhao Ge ∙
Deep neural network heatmaps capture Alzheimer's disease patterns
reported in a large meta-analysis of neuroimaging studies
07/22/2022 ∙ by Di Wang ∙
Online Continual Learning with Contrastive Vision Transformer
07/24/2022 ∙ by Zhen Wang ∙
A Novel Transformer Network with Shifted Window Cross-Attention for
Spatiotemporal Weather Forecasting
08/02/2022 ∙ by Alabi Bojesomo ∙
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