6 citations · 12 across the 4 of their papers we have counts for
4 papers
Learning Program Representations with a Tree-Structured Transformer
Wenhan Wang, Kechi Zhang, Ge Li +4
Learning vector representations for programs is a critical step in applying deep learning techniques for program understanding tasks. Various neural network models are proposed to…
Dynamic Contrastive Distillation for Image-Text Retrieval
Jun Rao, Liang Ding, Shuhan Qi +4
Although the vision-and-language pretraining (VLP) equipped cross-modal image-text retrieval (ITR) has achieved remarkable progress in the past two years, it suffers from a major d…
Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering
Yang Liu, Guanbin Li, Liang Lin
Existing visual question answering methods often suffer from cross-modal spurious correlations and oversimplified event-level reasoning processes that fail to capture event tempora…
A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction
Yang Liu, Jinpeng Hu, Xiang Wan +1
Few-Shot Relation Extraction aims at predicting the relation for a pair of entities in a sentence by training with a few labelled examples in each relation. Some recent works have…