92 citations · 175 across the 7 of their papers we have counts for
8 papers
Automatic Noisy Label Correction for Fine-Grained Entity Typing
Weiran Pan, Wei Wei, Feida Zhu
Fine-grained entity typing (FET) aims to assign proper semantic types to entity mentions according to their context, which is a fundamental task in various entity-leveraging applic…
Declaration-based Prompt Tuning for Visual Question Answering
Yuhang Liu, Wei Wei, Daowan Peng +1
In recent years, the pre-training-then-fine-tuning paradigm has yielded immense success on a wide spectrum of cross-modal tasks, such as visual question answering (VQA), in which a…
Geometry-Entangled Visual Semantic Transformer for Image Captioning
Ling Cheng, Wei Wei, Feida Zhu +2
Recent advancements of image captioning have featured Visual-Semantic Fusion or Geometry-Aid attention refinement. However, those fusion-based models, they are still criticized for…
Data Pricing in Machine Learning Pipelines
Zicun Cong, Xuan Luo, Pei Jian +2
Machine learning is disruptive. At the same time, machine learning can only succeed by collaboration among many parties in multiple steps naturally as pipelines in an eco-system, s…
PNEN: Pyramid Non-Local Enhanced Networks
Feida Zhu, Chaowei Fang, Kai-Kuang Ma
Existing neural networks proposed for low-level image processing tasks are usually implemented by stacking convolution layers with limited kernel size. Every convolution layer mere…
Collaborative Learning for Faster StyleGAN Embedding
Shanyan Guan, Ying Tai, Bingbing Ni +3
The latent code of the recent popular model StyleGAN has learned disentangled representations thanks to the multi-layer style-based generator. Embedding a given image back to the l…