
Google DeepMind Researchers Unlock the Potential of Decoding-Based Regression for Tabular and Density Estimation Tasks
Regression tasks, which involve predicting continuous numeric values, have traditionally relied on numeric heads such as Gaussian parameterizations or pointwise tensor projections. These traditional approaches have strong distributional assumption requirements, require a lot of labeled […]