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Novi Quadrianto

University of Cambridge

Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models

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Apr 15, 2025
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Efficient Online Inference of Vision Transformers by Training-Free Tokenization

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Nov 23, 2024
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Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers

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Jun 27, 2024
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Are Compressed Language Models Less Subgroup Robust?

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Mar 26, 2024
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Addressing Membership Inference Attack in Federated Learning with Model Compression

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Nov 29, 2023
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Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations

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Feb 02, 2023
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A Survey on Preserving Fairness Guarantees in Changing Environments

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Nov 14, 2022
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Okapi: Generalising Better by Making Statistical Matches Match

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Nov 07, 2022
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A Snapshot of the Frontiers of Client Selection in Federated Learning

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Sep 27, 2022
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RealPatch: A Statistical Matching Framework for Model Patching with Real Samples

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Aug 03, 2022
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