3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Strategies for Optimizing End-to-End Artificial Intelligence Pipelines on Intel Xeon Processors
Meena Arunachalam, Vrushabh Sanghavi, Yi A Yao +6
End-to-end (E2E) artificial intelligence (AI) pipelines are composed of several stages including data preprocessing, data ingestion, defining and training the model, hyperparameter…
cs.LG2021★ 3 cited
Evaluating Modules in Graph Contrastive Learning
Ganqu Cui, Yufeng Du, Cheng Yang +5
The recent emergence of contrastive learning approaches facilitates the application on graph representation learning (GRL), introducing graph contrastive learning (GCL) into the li…
cs.CL2019★ 3 cited
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification
Jie Zhou, Xu Han, Cheng Yang +4
Fact verification (FV) is a challenging task which requires to retrieve relevant evidence from plain text and use the evidence to verify given claims. Many claims require to simult…