Logit-Origin Centering for Singleton Test-Time Adaptation

Tabular data is used extensively in many real-world use cases.

Tabular data is used extensively in many real-world use cases. Deep learning models have been developed to deal with tabular data, but generally perform poorly when the test data distribution differs from that of the training data. Researchers have proposed test-time adaptation…