This is an implementation of the cyclemoid activation function for PyTorch. The cyclemoid function achieved state-of-the-art results in a recent benchmark with other popular activation functions as shown below: Note that this is a figure from the paper submitted on April 1st, 2022. An arxiv preprint will be uploaded soon. Installation You can install the cyclemoid-pytorch package via pip install cyclemoid_pytorch Usage This package implements a CycleMoid class and a cyclemoid function. You can use these are drop-in replacements for […]

In Vision-and-Language Navigation (VLN), an agent needs to navigate through the environment based on natural language instructions. Due to limited available data for agent training and finite diversity in navigation environments, it is challenging for the agent to generalize to new, unseen environments. To address this problem, we propose EnvEdit, a data augmentation method that creates new environments by editing existing environments, which are used to train a more generalizable agent. Our augmented environments can differ from the seen environments […]