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DataHour: Need for Self Supervised Learning - Practice at SAP

Online 11-11-2022 07:00 PM to 11-11-2022 08:00 PM
  • 5320

    Registered

  • Knowledge and Learning

    Prizes

DataHour Recording

About the DataHour:

Self-supervised learning (SSL) is an unsupervised approach for representation learning without relying on human-provided labels. It creates auxiliary tasks on unlabeled input data and learns representations by solving these tasks. SSL has demonstrated great success on images (e.g., MoCo, PIRL, SimCLR) and texts (e.g., BERT) and has shown promising results in other data modalities, including graphs, time-series, audio, etc. On a wide variety of tasks, SSL without using human-provided labels achieves performance that is close to fully supervised approaches.

In this DataHour Dr, Sai will provide you a basic understanding of the need for SSL and then practically demonstrate the successful implementations of SSL to tasks in the industry setting of SAP.


Prerequisites:
 
Interest of Learning Data Science and Basic understanding of Neural Networks, Machine Learning


Who is this DataHour for?

  • Students & Freshers who want to build a career in the Data-tech domain.
  • Working professionals who want to transition to the Data-tech domain.
  • Data science professionals who want to accelerate their career growth


Speaker:

Dr. Sai Hareesh

Research Expert at SAP Labs India

Dr. Sai Hareesh is currently working as a Research Expert at SAP Labs India. He has completed his Ph.D in Computer Vision from Sri Sathya Sai Institute of Higher Learning. He has 12 + years of working experience in both Academia and Industry Working on a variety of AI (ML + DL + MR) algorithms for HR, Defense, Healthcare, Telecom, Industrial IOT, Digital Marketing, Retail, Business and Renewables domain data. He has Hands-on experience in Computer Vision (video, image), NLP(text), IoT (time-series, numerical data ), Speech (Audio) complemented with Data Visualization and Creative Ideation.Till date he has registered 35 publications and 43 patents / Disclosures and been honored  by 35 Awards. He is also an efficient public speaker and has presented more than 27 Technical Talks.

Connect with Dr Sai on Linkedin  or Twitter

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