Datasets and Benchmarks
Dataset and Benchmark Symposium
Joaquin Vanschoren · Serena Yeung
Abstract:
The Datasets and Benchmarks track serves as a novel venue for high-quality publications, talks, and posters on highly valuable machine learning datasets and benchmarks, as well as a forum for discussions on how to improve dataset development. Datasets and benchmarks are crucial for the development of machine learning methods, but also require their own publishing and reviewing guidelines. For instance, datasets can often not be reviewed in a double-blind fashion, and hence full anonymization will not be required. On the other hand, they do require additional specific checks, such as a proper description of how the data was collected, whether they show intrinsic bias, and whether they will remain accessible.
Chat is not available.
Schedule
Thu 11:00 a.m. - 11:15 a.m.
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Intro
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Intro to the symposium
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SlidesLive Video |
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Thu 11:15 a.m. - 11:35 a.m.
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Invited talk - Raquel Urtasun
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Invited talk
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SlidesLive Video |
Raquel Urtasun 🔗 |
Thu 11:35 a.m. - 11:55 a.m.
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Invited talk - Olga Russakovsky
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Invited talk
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SlidesLive Video |
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Thu 11:55 a.m. - 12:15 p.m.
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Q&A
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Discussion
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SlidesLive Video |
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Thu 12:15 p.m. - 12:25 p.m.
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Break
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Thu 12:25 p.m. - 12:45 p.m.
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Invited talk - Erin LeDell
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Invited talk
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SlidesLive Video |
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Thu 12:45 p.m. - 1:05 p.m.
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Invited talk - Douwe Kiela
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Invited talk
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SlidesLive Video |
Douwe Kiela 🔗 |
Thu 1:05 p.m. - 1:25 p.m.
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Q&A
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Discussion
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SlidesLive Video |
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Thu 1:25 p.m. - 1:55 p.m.
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Breakout Discussion
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Breakout Discussion
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Thu 1:55 p.m. - 2:00 p.m.
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Conclusion
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Conclusion
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