1.1k citations · 2.2k across the 55 of their papers we have counts for
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cs.LG2023★ 1 cited
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System
Chao Xue, Wei Liu, Shuai Xie +25
Automated machine learning (AutoML) seeks to build ML models with minimal human effort. While considerable research has been conducted in the area of AutoML in general, aiming to t…
cs.LG2021★ 1 cited
Graph Contrastive Learning for Anomaly Detection
Bo Chen, Jing Zhang, Xiaokang Zhang +6
Graph-based anomaly detection has been widely used for detecting malicious activities in real-world applications. Existing attempts to address this problem have thus far focused on…
cs.LG2020★ 1.1k cited
Self-supervised Learning: Generative or Contrastive
Xiao Liu, Fanjin Zhang, Zhenyu Hou +4
Deep supervised learning has achieved great success in the last decade. However, its deficiencies of dependence on manual labels and vulnerability to attacks have driven people to…