Residual Bit Vectors for Efficient Representation of Categorical Data in Machine Learning

Residual Bit Vectors (ResBit) is a technique for densely representing categorical data, addressing the limitations of one-hot encoding and overcoming the "curse of dimensionality" associated with high cardinality categorical features.