I'm currently working on applications in road safety, and have also recently taken up an interest in learning about interpretability and fairness in machine learning models (for instance, I really loved this paper: https://arxiv.org/abs/1711.11279 and am working on making an easily accessible implementation of it).
Another thing that caught my attention is how deep learning is being used to build new developer tools, such as models that read code and automatically generate comments.
There's just so much ground to cover, simply because deep learning is such a versatile, universally applicable method.
I'm currently working on applications in road safety, and have also recently taken up an interest in learning about interpretability and fairness in machine learning models (for instance, I really loved this paper: https://arxiv.org/abs/1711.11279 and am working on making an easily accessible implementation of it).
Another thing that caught my attention is how deep learning is being used to build new developer tools, such as models that read code and automatically generate comments.
There's just so much ground to cover, simply because deep learning is such a versatile, universally applicable method.