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Ondrej Bohdal

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Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models

Feb 03, 2024
Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, Yongxin Yang, Timothy Hospedales

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FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis

Oct 08, 2023
Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy Hospedales

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Label Calibration for Semantic Segmentation Under Domain Shift

Jul 20, 2023
Ondrej Bohdal, Da Li, Timothy Hospedales

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Feed-Forward Source-Free Domain Adaptation via Class Prototypes

Jul 20, 2023
Ondrej Bohdal, Da Li, Timothy Hospedales

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Impact of Noise on Calibration and Generalisation of Neural Networks

Jun 30, 2023
Martin Ferianc, Ondrej Bohdal, Timothy Hospedales, Miguel Rodrigues

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Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn

May 12, 2023
Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy Hospedales

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Fairness in AI and Its Long-Term Implications on Society

Apr 16, 2023
Ondrej Bohdal, Timothy Hospedales, Philip H. S. Torr, Fazl Barez

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Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention

Jul 15, 2022
Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy Hospedales

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PASHA: Efficient HPO with Progressive Resource Allocation

Jul 14, 2022
Ondrej Bohdal, Lukas Balles, Beyza Ermis, Cédric Archambeau, Giovanni Zappella

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A Channel Coding Benchmark for Meta-Learning

Jul 15, 2021
Rui Li, Ondrej Bohdal, Rajesh Mishra, Hyeji Kim, Da Li, Nicholas Lane, Timothy Hospedales

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