Showing items related by title, author, creator and subject.

• Class Incremental Learning Across Diverse Data Paradigms 

  Jayateja, Kalla

  Class Incremental Learning (CIL) is a fundamental machine learning paradigm that enables models to continuously learn new classes over time, while retaining previously acquired knowledge. Despite significant progress, ...

• Model Extraction and Active Learning 

  Shukla, Aditya

  Machine learning models are increasingly being offered as a service by big companies such as Google, Microsoft and Amazon. They use Machine Learning as a Service (MLaaS) to expose these machine learning models to the ...

• Efficient Algorithms for Structured Output Learning 

  Balamurugan, P (2018-05-08)

  Structured output learning is the machine learning task of building a classifier to predict structured outputs. Structured outputs arise in several contexts in diverse applications like natural language processing, computer ...