| 2026 | AAAI | Revisiting (Un)Fairness in Recourse by Minimizing Worst-Case Social Burden. | Ainhize Barrainkua, Giovanni De Toni, Jos Antonio Lozano, Novi Quadrianto |
| 2024 | AISTATS | Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results. | Ainhize Barrainkua, Paula Gordaliza, Jos Antonio Lozano, Novi Quadrianto |
| 2023 | CVPR | Seasonal Domain Shift in the Global South: Dataset and Deep Features Analysis. | Georgios Voulgaris, Andy Philippides, Jonathan Dolley, Jeremy Reffin, Fiona Marshall, Novi Quadrianto |
| 2023 | EMNLP | Are Compressed Language Models Less Subgroup Robust? | Leonidas Gee, Andrea Zugarini, Novi Quadrianto |
| 2023 | IGARSS | Water Physics Aware Semantic Segmentation through Texture-Biased U-Net Architectures. | Georgios Voulgaris, Andrew Philippides, Novi Quadrianto |
| 2022 | ECCV | RealPatch: A Statistical Matching Framework for Model Patching with Real Samples. | Sara Romiti, Christopher Inskip, Viktoriia Sharmanska, Novi Quadrianto |
| 2022 | IGARSS | Deep Learning Robustness to Domain Shifts During Seasonal Variations. | Georgios Voulgaris, Andrew Philippides, Novi Quadrianto |
| 2020 | AAAI | Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution. | Artyom Gadetsky, Kirill Struminsky, Christopher Robinson, Novi Quadrianto, Dmitry P. Vetrov |
| 2020 | ECCV | Null-Sampling for Interpretable and Fair Representations. | Thomas Kehrenberg, Myles Bartlett, Oliver Thomas, Novi Quadrianto |
| 2019 | CVPR | Discovering Fair Representations in the Data Domain. | Novi Quadrianto, Viktoriia Sharmanska, Oliver Thomas |
| 2017 | AISTATS | Gray-box Inference for Structured Gaussian Process Models. | Pietro Galliani, Amir Dezfouli, Edwin V. Bonilla, Novi Quadrianto |
| 2017 | ICML | Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data. | Xiuyan Ni, Novi Quadrianto, Yusu Wang, Chao Chen |
| 2016 | CVPR | Ambiguity Helps: Classification with Disagreements in Crowdsourced Annotations. | Viktoriia Sharmanska, Daniel Hernndez-Lobato, Jos Miguel Hernndez-Lobato, Novi Quadrianto |
| 2016 | CVPR | Learning from the Mistakes of Others: Matching Errors in Cross-Dataset Learning. | Viktoriia Sharmanska, Novi Quadrianto |
| 2016 | ICML | Clustering High Dimensional Categorical Data via Topographical Features. | Chao Chen, Novi Quadrianto |
| 2016 | IJCAI | Learning Using Unselected Features (LUFe). | Joseph G. Taylor, Viktoriia Sharmanska, Kristian Kersting, David Weir, Novi Quadrianto |
| 2014 | ICML | Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications. | Sbastien Bratires, Novi Quadrianto, Sebastian Nowozin, Zoubin Ghahramani |
| 2013 | ICCV | Learning to Rank Using Privileged Information. | Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert |
| 2013 | UAI | The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models. | Novi Quadrianto, Viktoriia Sharmanska, David A. Knowles, Zoubin Ghahramani |
| 2012 | ACCV | Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer. | Tatiana Tommasi, Novi Quadrianto, Barbara Caputo, Christoph H. Lampert |
| 2012 | ECCV | Augmented Attribute Representations. | Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert |
| 2012 | ICML | The Most Persistent Soft-Clique in a Set of Sampled Graphs. | Novi Quadrianto, Chao Chen, Christoph H. Lampert |
| 2011 | ICML | Learning Multi-View Neighborhood Preserving Projections. | Novi Quadrianto, Christoph H. Lampert |
| 2010 | ICDM | Distributed Flow Algorithms for Scalable Similarity Visualization. | Novi Quadrianto, Dale Schuurmans, Alexander J. Smola |
| 2009 | CVPR | Learning based automatic face annotation for arbitrary poses and expressions from frontal images only. | Akshay Asthana, Roland Goecke, Novi Quadrianto, Tom Gedeon |
| 2009 | ICDM | Kernel Conditional Quantile Estimation via Reduction Revisited. | Novi Quadrianto, Kristian Kersting, Mark D. Reid, Tibrio S. Caetano, Wray L. Buntine |
| 2008 | ICML | Estimating labels from label proportions. | Novi Quadrianto, Alexander J. Smola, Tibrio S. Caetano, Quoc V. Le |