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Machine Learning Summer School (MLSS-2018)

Lovish Chum, Research Fellow, made a poster presentation on his research work Using Domain Adaptation for Few Shot Generative Modeling at the Machine Learning Summer School (MLSS-2018), Universidad Autónoma de Madrid, Spain.

MLSS is a course promulgating modern methods of statistical machine learning and inference. While students and professionals are eager to learn about machine learning, only few machine learning courses are taught at universities. The MLSS aims at filling this demand by presenting topics which are at the core of modern machine learning, from fundamentals to state-of-the-art practice. The MLSS is offered mostly to graduate students, but also to researchers and professionals.