Flexible Dataset Distillation: Learn Labels Instead of Images. - Ondrej Bohdal; Yongxin Yang; Timothy M. Hospedales (CoRR, 2020)

EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization. - Ondrej Bohdal; Yongxin Yang; Timothy M. Hospedales (NeurIPS, 2021)

A Channel Coding Benchmark for Meta-Learning. - Rui Li 052; Ondrej Bohdal; Rajesh K. Mishra; Hyeji Kim; Da Li 001; Nicholas D. Lane; Timothy M. Hospedales (NeurIPS Datasets and Benchmarks, 2021)

Meta-Calibration: Meta-Learning of Model Calibration Using Differentiable Expected Calibration Error. - Ondrej Bohdal; Yongxin Yang; Timothy M. Hospedales (CoRR, 2021)

PASHA: Efficient HPO with Progressive Resource Allocation. - Ondrej Bohdal; Lukas Balles; Beyza Ermis; Cédric Archambeau; Giovanni Zappella (CoRR, 2022)

Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention. - Ondrej Bohdal; Da Li 001; Shell Xu Hu; Timothy M. Hospedales (CoRR, 2022)

Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn. - Ondrej Bohdal; Yinbing Tian; Yongshuo Zong; Ruchika Chavhan; Da Li 001; Henry Gouk; Li Guo; Timothy M. Hospedales (CVPR, 2023)

PASHA: Efficient HPO and NAS with Progressive Resource Allocation. - Ondrej Bohdal; Lukas Balles; Martin Wistuba; Beyza Ermis; Cédric Archambeau; Giovanni Zappella (ICLR, 2023)

Fairness in AI and Its Long-Term Implications on Society. - Ondrej Bohdal; Timothy M. Hospedales; Philip H. S. Torr; Fazl Barez (CoRR, 2023)

Impact of Noise on Calibration and Generalisation of Neural Networks. - Martin Ferianc; Ondrej Bohdal; Timothy M. Hospedales; Miguel R. D. Rodrigues (CoRR, 2023)

Feed-Forward Source-Free Domain Adaptation via Class Prototypes. - Ondrej Bohdal; Da Li 001; Timothy M. Hospedales (CoRR, 2023)

Label Calibration for Semantic Segmentation Under Domain Shift. - Ondrej Bohdal; Da Li 001; Timothy M. Hospedales (CoRR, 2023)

Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error. - Ondrej Bohdal; Yongxin Yang; Timothy M. Hospedales (Trans. Mach. Learn. Res., 2023)

FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis. - Raman Dutt; Ondrej Bohdal; Sotirios A. Tsaftaris; Timothy M. Hospedales (ICLR, 2024)

Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models. - Yongshuo Zong; Ondrej Bohdal; Tingyang Yu; Yongxin Yang; Timothy M. Hospedales (ICML, 2024)

Feed-Forward Latent Domain Adaptation. - Ondrej Bohdal; Da Li 001; Shell Xu Hu; Timothy M. Hospedales (WACV, 2024)

VL-ICL Bench: The Devil in the Details of Benchmarking Multimodal In-Context Learning. - Yongshuo Zong; Ondrej Bohdal; Timothy M. Hospedales (CoRR, 2024)

MemControl: Mitigating Memorization in Medical Diffusion Models via Automated Parameter Selection. - Raman Dutt; Pedro Sanchez; Ondrej Bohdal; Sotirios A. Tsaftaris; Timothy M. Hospedales (CoRR, 2024)

Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted. - Ruchika Chavhan; Ondrej Bohdal; Yongshuo Zong; Da Li 001; Timothy M. Hospedales (CoRR, 2024)

Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models. - Raman Dutt; Pedro Sanchez; Ondrej Bohdal; Sotirios A. Tsaftaris; Timothy M. Hospedales (CoRR, 2024)

LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation. - Donald Shenaj; Ondrej Bohdal; Mete Ozay; Pietro Zanuttigh; Umberto Michieli (CoRR, 2024)

Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks. - Martin Ferianc; Ondrej Bohdal; Timothy M. Hospedales; Miguel R. D. Rodrigues (Trans. Mach. Learn. Res., 2024)

VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning. - Yongshuo Zong; Ondrej Bohdal; Timothy M. Hospedales (ICLR, 2025)

MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection. - Raman Dutt; Ondrej Bohdal; Pedro Sanchez; Sotirios A. Tsaftaris; Timothy M. Hospedales (WACV, 2025)

Efficient Compositional Multi-tasking for On-device Large Language Models. - Ondrej Bohdal; Mete Ozay; Jijoong Moon; Kyeng-Hun Lee; Hyeonmok Ko; Umberto Michieli (CoRR, 2025)

HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging. - Taha Ceritli; Ondrej Bohdal; Mete Ozay; Jijoong Moon; Kyeng-Hun Lee; Hyeonmok Ko; Umberto Michieli (CoRR, 2025)