Distributional shift challenge launched by Yandex at NeurIPS

Through a collaboration with Oxford and Cambridge Universities, and as part of the NeurIPS conference on machine learning (ML), Yandex is to launch the global ‘Shifts Challenge’. The three-pronged competition is designed to tackle the problem of distributional shift in ML and features the largest autonomous vehicle (AV) data set in the industry to date.

Containing 600,000 scenes, equivalent to over 1,600 hours of driving, the data set was collected through self-driving…


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