Deep Active Learning Explored Across Diverse Label Spaces
abstract: Deep learning architectures have been widely explored in computer vision and have depicted commendable performance in a variety of applications. A fundamental challenge in training deep networks is the requirement of large amounts of labeled training data. While gathering large quantiti...
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| Format: | Doctoral Thesis |
| Language: | English |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/2286/R.I.49076 |