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Nov 18, 2021
A Closer Look at Accuracy vs. Robustness. NeurIPS, 2020.
Speaker: Chao Chen
[slides]
Nov 4, 2021
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning. SIGMOID, 2021.
Speaker: Jiaxin Liu
[slides]
Oct 28, 2021
On Explainability of Graph Neural Networks via Subgraph Explorations. ICML, 2021.
Speaker: Chao Chen
[slides]
Oct 14, 2021
GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction. ACL, 2019.
Speaker: Xuehan Chen
[slides]
Oct 7, 2021
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks. WSDM, 2021.
Speaker: Jiaxin Liu
[slides]
Sep 30, 2021
Boundary thickness and robustness in learning models. NeurIPS, 2020.
Speaker: Chao Chen
[slides]
Sep 16, 2021
MICE: Mixture of Contrastive Experts for Unsupervised image Clustering. ICLR, 2021.
Speaker: Jiaxin Liu
[slides]
Sep 9, 2021
Augmented Lagrangian Adversarial Attacks. ICCV, 2021.
Speaker: Chao Chen
[slides]
Sep 2, 2021
Optimal Transport for structured data with application on graphs. ICML, 2019.
Speaker: Xuehan Chen
[slides]
[notes]