2025
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
NeurIPS 2025poster
Joint-embedding self-supervised learning (SSL) commonly relies on transformations such as data augmentation and masking to learn visual representations, a task achieved by enforcing invariance or equivariance with respect to these transformations applied to two views of an image. This dominant two-v…