An Accelerator for Rule Induction in Fuzzy Rough Theory

1 code implementation • 7 Jan 2022 • Suyun Zhao, Zhigang Dai, XiZhao Wang, Peng Ni, Hengheng Luo, Hong Chen, Cuiping Li

First, a rule induction method based on consistence degree, called Consistence-based Value Reduction (CVR), is proposed and used as basis to accelerate.

Explainable artificial intelligence

UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning

1 code implementation • 19 Mar 2021 • Zhigang Dai, Bolun Cai, Yugeng Lin, Junying Chen

To fully utilize the label annotations, we propose Unified Momentum Contrast (UniMoCo), which extends MoCo to support arbitrary ratios of labeled data and unlabeled data training.

Representation Learning

UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

2 code implementations • CVPR 2021 • Zhigang Dai, Bolun Cai, Yugeng Lin, Junying Chen

Inspired by the great success of pre-training transformers in natural language processing, we propose a pretext task named random query patch detection to Unsupervisedly Pre-train DETR (UP-DETR) for object detection.

Multi-Task Learning object-detection +3

Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition

no code implementations • 12 Mar 2020 • Zhigang Dai, Jinhua Fu, Qile Zhu, Hengbin Cui, Xiaolong Li, Yuan Qi

We revise the attention distribution to focus on the local and contextual semantic information by incorporating the relative position information between utterances.