**ColorJitter** is a type of image data augmentation where we randomly change the brightness, contrast and saturation of an image.

Image Credit: [Apache MXNet](https://mxnet.apache.org/versions/1.5.0/tutorials/gluon/data_augmentation.html)

**DNN2LR** is an automatic feature crossing method to find feature interactions in a deep neural network, and use them as cross features in logistic regression. In general, DNN2LR consists of two steps: (1) generating a compact and accurate candidate set of cross feature fields; (2) searching in the candidate set for the final cross feature fields.

DNN2LR

DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data

ColorJitter

Multi-head attention consists of multiple attention layers (heads) in parallel with different linear
transformations on the queries, keys, values and outputs. **Multi-query attention** is identical except that the
different heads share a single set of keys and values.

Year	2000
Data Source	CC BY-SA - https://paperswithcode.com