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Interpretability

On the Interpretability of Attention Networks

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

AI and Ethics for the Indian Context

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

Interpretability of Deep Learning Models in Healthcare

Projects

Tags: deep learning, interpretability, healthcare

Paradigms, Interpretable Models and Algorithms for AI-based Human in the Loop Learning

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

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Founded in 2024, the School brings together several faculty with expertise in various areas of Data Science and AI, to work together on impactful problems of direct relevance to the society.

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044 2257 8980
office@dsai.iitm.ac.in
6th Floor, New Academic Complex 2,
Indian Institute of Technology Madras,
Chennai-600036, India

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