Survey covers the topic from a knowledge flow perspective in terms of: robust knowledge recovery, robust knowledge transfer, and robust knowledge fusion . It is always demanding to learn robust visual representation for various learning problems . This learning and maintenance process usually suffers from noise, incomplepleteness or knowledge domain mismatch . We deliver a unified formulation for robust knowledge discovery given a single dataset . We discuss robust . knowledge transfer and fusion given multiple datasets with different knowledge flows, followed by practical challenges, model variations, and remarks. Finally, we highlight future research of robust knowledge . for incomplete, unbalance, large-scale data analysis. This would benefit AI community from literature review to future direction. It would benefit the AI community. This is a good example of the future direction of AI community’s future

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Keywords : knowledge - robust - future - learning - ai -

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