Reproducibility Report: Contrastive Learning of Socially-aware Motion Representations
This is an incremental reproducibility effort for researchers in machine learning and robotics, focusing on motion prediction.
This paper reproduces a prior study on contrastive learning for socially-aware motion representations, verifying the original results and reimplementing the code in PyTorch Lightning.
The following paper is a reproducibility report for "Social NCE: Contrastive Learning of Socially-aware Motion Representations" {\cite{liu2020snce}} published in ICCV 2021 as part of the ML Reproducibility Challenge 2021. The original code was made available by the author \footnote{\href{https://github.com/vita-epfl/social-nce}{https://github.com/vita-epfl/social-nce}}. We attempted to verify the results claimed by the authors and reimplemented their code in PyTorch Lightning.