A novel dataset of dynamic sequences of 3D face models, where a combination of synthetic and real identities exhibit an unprecedented variety of 4D facial expressions, with variations that include the classical neutral-apex transition, but generalize to e...
Using stationary representations, CoReS trains models to obtain compatible representations, eliminating costly re-indexing in retrieval systems during upgrades.
Mitigating forgetting in continual representation learning using contrastive supervised distillation.
Representation learning techniques in NLP capture meaningful and distributed representations of textual data, known as embeddings. These embeddings enable NLP models to effectively understand semantic and syntactic relationships. Popular methods include w...