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Ondrej Bohdal

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

12

Venues

7

Active years

2023–2026

Best venue rank

A*

Where they publish

Papers

12 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLK-Merge: Online Continual Merging of Adapters for On-device Large Language Models.Donald Shenaj, Ondrej Bohdal, Taha Ceritli, Mete Ozay, Pietro Zanuttigh, Umberto Michieli
2025EMNLPEfficient Compositional Multi-tasking for On-device Large Language Models.Ondrej Bohdal, Mete Ozay, Jijoong Moon, Kyeng-Hun Lee, Hyeonmok Ko, Umberto Michieli
2025EMNLPOn-device System of Compositional Multi-tasking in Large Language Models.Ondrej Bohdal, Konstantinos Theodosiadis, Asterios Mpatziakas, Dimitrios Filippidis, Iro Spyrou, Christos Zonios, Anastasios Drosou, Dimosthenis Ioannidis, Kyeng-Hun Lee, Jijoong Moon, Hyeonmok Ko, Mete Ozay, Umberto Michieli
2025EMNLPHydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging.Taha Ceritli, Ondrej Bohdal, Mete Ozay, Jijoong Moon, Kyeng-Hun Lee, Hyeonmok Ko, Umberto Michieli
2025ICCVLoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation.Donald Shenaj, Ondrej Bohdal, Mete Ozay, Pietro Zanuttigh, Umberto Michieli
2025ICLRVL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning.Yongshuo Zong, Ondrej Bohdal, Timothy M. Hospedales
2025WACVMemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection.Raman Dutt, Ondrej Bohdal, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales
2024ICLRFairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis.Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales
2024ICMLSafety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, Yongxin Yang, Timothy M. Hospedales
2024WACVFeed-Forward Latent Domain Adaptation.Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy M. Hospedales
2023CVPRMeta Omnium: A Benchmark for General-Purpose Learning-to-Learn.Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy M. Hospedales
2023ICLRPASHA: Efficient HPO and NAS with Progressive Resource Allocation.Ondrej Bohdal, Lukas Balles, Martin Wistuba, Beyza Ermis, Cdric Archambeau, Giovanni Zappella