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joseph kwon

2 accepted papers

2022

Scaling Out-of-Distribution Detection for Real-World Settings

ICML 2022spotlight

Detecting out-of-distribution examples is important for safety-critical machine learning applications such as detecting novel biological phenomena and self-driving cars. However, existing research mainly focuses on simple small-scale settings. To set the stage for more realistic out-of-distribution…