On theory and concepts in Machine Learning, Deep Learning and Artificial Intelligence. Formerly Deep Learning Conf.
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09:00 AM – 05:40 PM IST
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Adversarial attacks on Deep Learning models.
Konda Reddy Mopuri, IISc
Keep calm and trust your model: on explainability of ML models.
Praveen Sridhar, DataLog.ai
Apache MXNet: a highly memory efficient deep learning framework.
Girish Patil, AWS
Identifying urban makeshift communities using satellite imagery and geo-coded data.
Akarsh Zingade, DataKind
How deep is Deep Learning?
Amar Lalwani, Funtoot
Unsupervised and semi-supervised Deep Learning for medical imaging.
Kiran Vaidhya, Predible Health
PyTorch demystified: why did I switch?
Sherin Thomas, CoWrks
Saving the Princess with Deep Learning.
Navin Pai, IIIT-B
Synthetic gradients: decoupling layers of neural nets.
Anuj Gupta, Freshdesk
Sponsored keynote: "AI: unleashing the next wave."
Milind Hanchinmani, Intel
Hitchhiker’s guide to Generative Adversarial Networks (GANs).
Ramanan Balakrishnan, Semantics3