27 citations · 29 across the 4 of their papers we have counts for
4 papers
Efficient Ensembles Improve Training Data Attribution
Junwei Deng, Ting-Wei Li, Shichang Zhang +1
Training data attribution (TDA) methods aim to quantify the influence of individual training data points on the model predictions, with broad applications in data-centric AI, such…
BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster
Jason Dai, Ding Ding, Dongjie Shi +13
Most AI projects start with a Python notebook running on a single laptop; however, one usually needs to go through a mountain of pains to scale it to handle larger dataset (for bot…
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem
Jiaqi Ma, Junwei Deng, Qiaozhu Mei
Graph neural networks (GNNs) have attracted increasing interests. With broad deployments of GNNs in real-world applications, there is an urgent need for understanding the robustnes…
Subgroup Generalization and Fairness of Graph Neural Networks
Jiaqi Ma, Junwei Deng, Qiaozhu Mei
Despite enormous successful applications of graph neural networks (GNNs), theoretical understanding of their generalization ability, especially for node-level tasks where data are…