The paper, Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning, has been accepted for oral presentation at ACM Multimedia 2021. It addresses the problem of blind spatio-temporal super-resolution by learning the model parameters that can easily adapt to unseen degradation conditions. The proposed Ada-VSR approach employs meta-learning to obtain adaptive model parameters, using a large-scale external dataset, that can adapt quickly to novel conditions of the given test video, thereby exploiting external and internal information of a video for super-resolution.