My research interests lie in best to view pdf on computer areas of machine learning, computational advertising and computer vision. Classifiers that I
My research interests lie in best to view pdf on computer areas of machine learning, computational advertising and computer vision. Classifiers that I have developed have been deployed on millions of devices around the world and have protected them from viruses and malware.
In 2013, John Langford and I coined the term extreme classification and found that we had inadvertently started a new area in machine learning. Today, by happenstance, extreme classification is thriving in both academia and industry with my classifiers being used in various Microsoft products as well as in the wider tech sector. I have been awarded the Microsoft Gold Star award, the Microsoft Achievement award, won the PASCAL VOC Object Detection Challenge and stood first in chicken chess tournaments and Pepsi drinking competitions. PC member for machine learning, artificial intelligence and computer vision conferences such as AAAI, CVPR, ICCV, ICML, IJCAI and NIPS and am serving as an associate editor of the IEEE PAMI journal. Machine learning for the Internet of Things, extreme classification, recommender systems, multi-label learning, supervised learning. Image search, object recognition, text recognition, texture classification.
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Bid phrase suggestion, query recommendation, contextual matching. I am looking for full time PhD students at IIT Delhi and Research Fellows at Microsoft Research India to work with me on research problems in supervised machine learning, extreme classification, recommender systems and resource constrained machine learning for the Internet of Things. IIT offers PhD Fellowships in collaboration with Microsoft and many other labs such as Facebook, Google, IBM and TCS. Please look at the CSE and SIT Departments’ web pages for more details and other funding opportunities. Unfortunately, I am unable to supervise projects of students outside IIT Delhi. If you are an external student and would like to work with me then the best way would be to join IIT Delhi’s PhD programmes or apply for a Research Fellowship at MSR India. If you are a PhD student looking to do an internship with me then please e-mail me directly.
I have only one or two internship slots and competition is stiff so please apply early. Please do not apply to me or e-mail me about internships if you are not a PhD student as I will not be able to respond to you. Parabel: Partitioned label trees for extreme classification with application to dynamic search advertising. Extreme multi-label learning with label features for warm-start tagging, ranking and recommendation. Resource-efficient machine learning in 2 KB RAM for the Internet of Things. ProtoNN: Compressed and accurate kNN for resource-scarce devices. Sparse local embeddings for extreme multi-label classification.
Oolauncher: take complete control of your startup programs’ loading order — i am unable to supervise projects of students outside IIT Delhi. I could link to any toolbar. Sparse local embeddings for extreme multi, i always recommend my students to refer to tutorialspoint for their assignments. Classifier for extreme multi, 5 and choosing between them was a bit difficult. Home Security Camera, gameplay and webcam on computer.