Publications
Attention mechanisms form a core component of several successful deep learning architectures, and are based on one key idea: “The output depends only on a small (but unknown) segment of the input.” In several practical …
Tags:
Attention Mechanisms, Interpretability, Model Interpretability
Projects
An ethical framework in the field of AI should not be a mere appendage to its technological aspects. Rather, ethical understanding should be treated as an important aspect of the reasoning and rationalization of the …
Tags:
artificial intelligence, fairness, ethics, healthcare, interpretability
Projects
Tags:
deep learning, interpretability, healthcare
Projects
Artificial intelligence/Data science systems with humans-in-the-loop (HIL) are increasing by the day with applications covering a broad spectrum of domains ranging from education to e-commerce. AI for HIL systems …
Tags:
MOOCs, human in the loop learning, data science, interpretability