Dobbie, Gillian

13 publications

MLJ 2025 Assessing the Risk of Discriminatory Bias in Classification Datasets Kejun Dai, Jonathan Kim, Saso Dzeroski, Jörg Wicker, Gillian Dobbie, Katharina Dost

IJCAI 2025 Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation Di Zhao, Jingfeng Zhang, Hongsheng Hu, Philippe Fournier-Viger, Gillian Dobbie, Yun Sing Koh

ICCV 2025 GloPER: Unsupervised Animal Pattern Extraction from Local Reconstruction Bowen Chen, Yun Sing Koh, Gillian Dobbie

NeurIPSW 2024 Counterfactual Causal Inference in Natural Language with Large Language Models Gael Gendron, Joze M. Rozanec, Michael Witbrock, Gillian Dobbie

IJCAI 2024 Large Language Models Are Not Strong Abstract Reasoners Gaël Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie

ICLRW 2024 Large Language Models Are Not Strong Abstract Reasoners yet Gael Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie

NeurIPSW 2024 Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks Gael Gendron, Michael Witbrock, Gillian Dobbie

AAAI 2024 Symmetric Self-Paced Learning for Domain Generalization Di Zhao, Yun Sing Koh, Gillian Dobbie, Hongsheng Hu, Philippe Fournier-Viger

ECML-PKDD 2023 A Transductive Forest for Anomaly Detection with Few Labels Jingrui Zhang, Ninh Pham, Gillian Dobbie

IJCAI 2023 Disentanglement of Latent Representations via Causal Interventions Gaël Gendron, Michael Witbrock, Gillian Dobbie

IJCAI 2022 Membership Inference via Backdooring Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang

ACML 2021 Transfer Learning with Adaptive Online TrAdaBoost for Data Streams Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe

ECML-PKDD 2015 Drift Detection Using Stream Volatility David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Albert Bifet