3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.AI2023★ 1 cited
On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval
Jiayi Chen, Hanjun Dai, Bo Dai +2
Visually-rich document entity retrieval (VDER), which extracts key information (e.g. date, address) from document images like invoices and receipts, has become an important topic i…
cs.CL2023
DocumentNet: Bridging the Data Gap in Document Pre-Training
Lijun Yu, Jin Miao, Xiaoyu Sun +4
Document understanding tasks, in particular, Visually-rich Document Entity Retrieval (VDER), have gained significant attention in recent years thanks to their broad applications in…
cs.AI2021★ 3 cited
HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities
Jiayi Chen, Aidong Zhang
Existing gradient-based meta-learning approaches to few-shot learning assume that all tasks have the same input feature space. However, in the real world scenarios, there are many…