3 accepted papers
Pedestrian's future trajectory prediction is a key challenge in ego-centric view of autonomous driving system. Most of the current methods are flawed in capturing subtle change features in a lightweight model size. To solve this problem, we propose a multimodal forward generation transformer network
Many discriminative natural language understanding (NLU) tasks have large label spaces. Learning such a process of large-space decision making is particularly challenging due to the lack of training instances per label and the difficulty of selection among many fine-grained labels. Inspired by dense…
Entity typing aims at predicting one or more words that describe the type(s) of a specific mention in a sentence. Due to shortcuts from surface patterns to annotated entity labels and biased training, existing entity typing models are subject to the problem of spurious correlations. To comprehensive…