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Gowtham Muniraju
2Publications
Publications 2
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#2Bhavya KailkhuraH-Index: 10
Last.Peer-Timo BremerH-Index: 27
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Sampling one or more effective solutions from large search spaces is a recurring idea in computer vision, and sequential optimization has become the prevalent solution. Typical examples are hyper-parameter optimization in deep learning and sample mining in predictive modeling tasks. Existing solutions attempt to trade-off between global exploration and local exploitation, wherein the initial exploratory sample is critical to their success. While discrepancy-based samples have become the \textit{...
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