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Timeline
Attention over time
Attention Score history
Activity
Mendeley demographics
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| Title |
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations?
|
|---|---|
| Published by |
Institute of Electrical and Electronics Engineers (IEEE), November 2020
|
| DOI | 10.1109/sibgrapi51738.2020.00010 |
| Authors |
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Mendeley demographics
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 108 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 16% |
| Student > Master | 17 | 16% |
| Researcher | 12 | 11% |
| Student > Bachelor | 5 | 5% |
| Student > Postgraduate | 4 | 4% |
| Other | 6 | 6% |
| Unknown | 47 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 46 | 43% |
| Engineering | 4 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Linguistics | 1 | <1% |
| Earth and Planetary Sciences | 1 | <1% |
| Other | 3 | 3% |
| Unknown | 51 | 47% |