Search Results for author: Can Ma

Found 6 papers, 2 papers with code

Graph-to-Text Generation with Dynamic Structure Pruning

no code implementations15 Sep 2022 Liang Li, Ruiying Geng, Bowen Li, Can Ma, Yinliang Yue, Binhua Li, Yongbin Li

Most graph-to-text works are built on the encoder-decoder framework with cross-attention mechanism.

Text Generation

Learning Better Representation for Tables by Self-Supervised Tasks

no code implementations15 Oct 2020 Liang Li, Can Ma, Yinliang Yue, Linjun Shou, Dayong Hu

Secondly, the target texts in training dataset may contain redundant information or facts do not exist in the input tables.

Table-to-Text Generation

Two-Level Residual Distillation based Triple Network for Incremental Object Detection

no code implementations27 Jul 2020 Dongbao Yang, Yu Zhou, Dayan Wu, Can Ma, Fei Yang, Weiping Wang

Modern object detection methods based on convolutional neural network suffer from severe catastrophic forgetting in learning new classes without original data.

Incremental Learning object-detection +1

Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning

1 code implementation2 Jan 2020 Dezhao Luo, Chang Liu, Yu Zhou, Dongbao Yang, Can Ma, Qixiang Ye, Weiping Wang

As a proxy task, it converts rich self-supervised representations into video clip operations (options), which enhances the flexibility and reduces the complexity of representation learning.

Representation Learning Self-Supervised Action Recognition +3

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