220 Pages
40 B/W Illustrations
by
Chapman & Hall
220 Pages
40 B/W Illustrations
by
Chapman & Hall
220 Pages
40 B/W Illustrations
by
Chapman & Hall
Also available as eBook on:
Recent progress in artificial intelligence (AI) has revolutionized our everyday life. Many AI algorithms have reached human-level performance and AI agents are replacing humans in most professions. It is predicted that this trend will continue and 30% of work activities in 60% of current occupations will be automated.
This success, however, is conditioned on availability of huge annotated... Read more
Introduction. Background and Related Work. Zero-Shot Image Classification through Coupled Visual and Semantic Embedding Spaces. Learning a Discriminative Embedding for Unsupervised Domain Adaptation. Few-Shot Image Classification through Coupled Embedding Spaces. Cross-Task Knowledge Transfer. Lifelong Zero-Shot Learning Using High-Level Task Descriptors. Complementary Learning Systems Theory for Tackling Catastrophic Forgetting. Continual Concept Learning. Collective Lifelong Learning for Multi-Agent Networks. Concluding Remarks and Potential Future Research Directions.
Biography
Mohammad Rostami is a computer scientist at USC Information Sciences Institute. He is a graduate of the University of Pennsylvania, University of Waterloo, and Sharif University of Technology. His research area includes continual machine learning and learning in data scarce regimes.
