Birke, Robert

11 publications

ECML-PKDD 2025 BatMan-CLR: Making Few-Shots Meta-Learners Resilient Against Label Noise Jeroen M. Galjaard, Robert Birke, Juan F. Pérez, Lydia Y. Chen

NeurIPS 2025 Collaborative and Confidential Junction Trees for Hybrid Bayesian Networks Roberto Gheda, Abele Mălan, Thiago Guzella, Carlo Lancia, Robert Birke, Lydia Y. Chen

ECML-PKDD 2025 Single-Fold Distillation for Diffusion Models Chi Hong, Jiyue Huang, Robert Birke, Dick H. J. Epema, Stefanie Roos, Lydia Y. Chen

ICLR 2025 TabWak: A Watermark for Tabular Diffusion Models Chaoyi Zhu, Jiayi Tang, Jeroen M. Galjaard, Pin-Yu Chen, Robert Birke, Cornelis Bos, Lydia Y. Chen

ECML-PKDD 2023 Exploring and Exploiting Data-Free Model Stealing Chi Hong, Jiyue Huang, Robert Birke, Lydia Y. Chen

ACML 2022 Multi Label Loss Correction Against Missing and Corrupted Labels Amirmasoud Ghiassi, Robert Birke, Lydia.Y Chen

ACML 2022 Trusted Loss Correction for Noisy Multi-Label Learning Amirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke, Lydia.Y Chen

ACML 2021 CTAB-GAN: Effective Table Data Synthesizing Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen

ACML 2021 QActor: Active Learning on Noisy Labels Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y Chen

CVPRW 2019 Learning Semantically Meaningful Embeddings Using Linear Constraints Shuyu Lin, Bo Yang, Robert Birke, Ronald Clark

ICLRW 2019 WiSE-ALE: Wide Sample Estimator for Aggregate Latent Embedding Shuyu Lin, Ronald Clark, Robert Birke, Niki Trigoni, Stephen Roberts