Ondrej Bohdal
13 papers · 2021–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (15) π Conference Polyglot (7) πΊοΈ Taxonomy Completionist (27)
π
Century Club
(12)
β‘
Prolific Year
(6)
Conferences
EMNLP (3)
ICLR (3)
WACV (2)
ACL (1)
CVPR (1)
ICCV (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
model merging
(4)
low-rank adapter
(3)
large language model
(3)
parameter-efficient fine-tuning
(3)
on-device deployment
(3)
few-shot learning
(2)
multi-task learning
(2)
compositional multi-tasking
(2)
low-rank adaptation
(2)
on-device inference
(2)
model compression
(2)
text summarization
(1)
gradient-based optimization
(1)
hyperparameter optimization
(1)
representation learning
(1)
pose estimation
(1)
parameter efficient fine-tuning
(1)
domain adaptation
(1)
semantic segmentation
(1)
transfer learning
(1)
Papers
K-Merge: Online Continual Merging of Adapters for On-device Large Language Models
ACL 2026
VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning
ICLR 2025
HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging
EMNLP 2025
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection
WACV 2025
On-device System of Compositional Multi-tasking in Large Language Models
EMNLP 2025
LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation
ICCV 2025
Efficient Compositional Multi-tasking for On-device Large Language Models
EMNLP 2025
Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models
ICML 2024
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
ICLR 2024
Feed-Forward Latent Domain Adaptation
WACV 2024
PASHA: Efficient HPO and NAS with Progressive Resource Allocation
ICLR 2023
Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn
CVPR 2023
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization
NIPS 2021