Abstract: Aspects of the present disclosure describe improved artificial neural network architectures for resource constrained application that employ tiny skips or improved parameter efficiency of existing artificial neural network architectures designed for resource-constrained applications by employing content-based interaction layers. Our technique is demonstrated with a specific example in which we replace spatial convolution layers in a MobilenetV2-like structure with Lambda Layers and achieve a significant improvement in accuracy while using the same number of parameters.