CS 394N Neural Networks class

Hello everyone, I have experience doing research in ML/AI (mostly doing Theoretical work) and I am interest in a lot of areas in ML/AI like Deep Learning, Computer Vision and Natural Language Processing. I have been doing work and I am recently focusing more on the area of Fairness in AI and Responsible AI. I am looking forward to explore other areas like Explainable AI and Robustness and maybe combine it with fairness issues.

Potential Research ideas:

1. Fairness implications in NeuroEvolutional concepts.
2. Architectural patterns for Neural Network building.
3. Counterfactual Explanations of Neural Networks.
4. Fairness and other issues of Text-to-image creation.
5. Bias amplification in generative models.

I have teamed up with Sam Brennan!