Leaky ReLU and Parametric ReLU are modifications of the ReLU activation function. Leaky ReLU introduces a small negative slope (e.g., 0.01) when the input is negative, which prevents the neurons from dying. Parametric ReLU also addresses dead neurons and uses learnable parameters to compute the slope, allowing it to adapt to the characteristics of the data during training.