most citedNGEMM: Optimizing GEMM for Deep Learning via Compiler-based Techniques

1 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing cs.CLShow all

2 papers · 1 filter

cs.CL2021

InfoBehavior: Self-supervised Representation Learning for Ultra-long Behavior Sequence via Hierarchical Grouping

Runshi Liu, Pengda Qin, Yuhong Li +4

E-commerce companies have to face abnormal sellers who sell potentially-risky products. Typically, the risk can be identified by jointly considering product content (e.g., title an…

cs.CL2021★ 1 cited

TVDIM: Enhancing Image Self-Supervised Pretraining via Noisy Text Data

Pengda Qin, Yuhong Li, Kefeng Deng +1

Among ubiquitous multimodal data in the real world, text is the modality generated by human, while image reflects the physical world honestly. In a visual understanding application…