research
∙
06/14/2023
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification
Graph neural networks have been extensively studied for learning with in...
share
research
∙
05/26/2022
On Collective Robustness of Bagging Against Data Poisoning
Bootstrap aggregating (bagging) is an effective ensemble protocol, which...
research
∙
12/28/2021
Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization
Combinatorial optimization (CO) is a long-standing challenging task not ...
research
∙
03/23/2021
Joint Distribution across Representation Space for Out-of-Distribution Detection
Deep neural networks (DNNs) have become a key part of many modern softwa...
research
∙
10/06/2019
Operational Calibration: Debugging Confidence Errors for DNNs in the Field
Trained DNN models are increasingly adopted as integral parts of softwar...
research
∙
06/06/2019