Negar Rostamzadeh is a Research Scientist at Element AI and her main areas of interest are computer vision and multimodal learning. She received her Ph.D. from the University of Trento in 2017, and has spent more than 2 years at MILA (Montreal Institute of Learning Algorithms) during her Ph.D. Negar has worked as a research intern at the Multimedia and Vision lab at the Queen Mary University of London and in the Research and Machine Intelligence group at Google. She has been involved in many initiatives to increase diversity and inclusion in the field. Some of these include co-founding and co-organizing the Women in Deep Learning (WiDL) workshop in 2016 and 2017, co-organizing the Women in Machine Learning (WiML) workshop at NeurIPS in 2017, the Women in Computer Vision (WiCV) workshop at CVPR in 2017.
AI Conference Talk
Learning with less supervision in the visual domain