Abstract: Quantization-Aware Training (QAT) for vision transformers relies on expensive retraining to recover accuracy loss in non-linear layer quantization, which limits their use in ...
Abstract: Scoring functions (SFs), which measure the plausibility of triplets in knowledge graph (KG), have become the crux of KG embedding. Lots of SFs, which target at capturing different kinds of ...