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IIIT Hyderabad hosts BDA 2022, an international conference on Big Data Analytics

Hyderabad (Telangana) [India], December 20 (ANI/PRNewswire): IIIT Hyderabad is hosting the 10th international conference on Big Data Analytics at its campus in Gachibowli from 19-22 December 2022. The conference is an international forum for researchers and industry practitioners to share their original research results, practical experiences and thoughts on big data from different perspectives including storage models, data access, computing paradigms, analytics, information sharing and privacy...
Andhra Pradesh United States P Krishna Reddy Sanjay Madria Krishna Reddy Sridhar Viswanathan

Contrastive Representation Learning

The goal of contrastive representation learning is to learn such an embedding space in which similar sample pairs stay close to each other while dissimilar ones are far apart. Contrastive learning can be applied to both supervised and unsupervised settings. When working with unsupervised data, contrastive learning is one of the most powerful approaches in self-supervised learning. Contrastive Training Objectives In early versions of loss functions for contrastive learning, only one positive and ...
Prannay Khosla Wang Isola Salakhutdinov Hinton Jason Wei Ekind Cubuk Lajanugen Logeswaran

"Fuzzy contrastive learning for online behavior analysis" by Jie Yang, Gang Huang et al.

With the prevalence of smart devices, billions of people are accessing digital resource in their daily life. Online user-behavior modeling, as such, has been actively researched in recent years. However, due to the data uncertainty (sparse-ness and skewness), traditional techniques suffer from certain drawbacks, such as relying on labor-intensive expertise or prior knowledge, lacking of interpretability and transparency, and expensive computational cost. As a step toward bridging the gap, this p...
Contrastive Learning Fuzzy Set Obile Applications Analysis Self Supervised Learning Ser Online Behavior
Source: uow.edu.au

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