1 to 10 of 133 Results
Apr 5, 2023
Holzmüller, David; Zaverkin, Viktor; Kästner, Johannes; Steinwart, Ingo, 2023, "Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]", https://doi.org/10.18419/darus-3394, DaRUS, V1
This dataset contains code and data for the third arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to reproduce the results, to benchmark new methods, or to apply the presented methods to new Deep Batch Act... |
Apr 5, 2023 -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Python Source Code - 26.9 KB -
MD5: 8992d130a29ce591cf770f831365e711
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Apr 5, 2023 -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Python Source Code - 24.0 KB -
MD5: e7e55610a01b7baf79167d03185187bb
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Apr 5, 2023 -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Jupyter Notebook - 116.3 KB -
MD5: b64ba74944c8c63b6cdbcb5c3f3c3ca5
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Apr 5, 2023 -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Python Source Code - 3.4 KB -
MD5: 145530092e17ac5242b1395550fde713
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Apr 5, 2023 -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Python Source Code - 765 B -
MD5: a795511ba49a289abf2544960864bec4
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Apr 5, 2023 -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Unknown - 680 B -
MD5: 59cf295649a62521f8cb575c1538a133
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Apr 5, 2023 -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Python Source Code - 15.4 KB -
MD5: e18fb1dc9fb68dce760ed0c551fcc752
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Apr 5, 2023 -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Gzip Archive - 1011.3 MB -
MD5: 2b34cf7ecdb8fa51046ade430586c22e
Compressed folder containing downloaded raw and processed data sets as generated by download_data.py at the time of running the experiments. |
Apr 5, 2023 -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning for Regression [arXiv v3]
Python Source Code - 100 B -
MD5: 353b895af409509f39196e5f1ee4d0c4
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