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Timothy M. Hospedales

Queen Mary University of London, UK

18 papers at tracked venues · 16 at CORE A* · active 2024–2026

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Venues

ICLR ×6ICML ×4AAAI ×2CVPR ×2EMNLP ×1ICCV ×1NeurIPS ×1WACV ×1

Frequent coauthors

Minyoung Kim
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Yongshuo Zong
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Royson Lee
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Raman Dutt
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Ruchika Chavhan
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Hao Mark Chen
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Yongxin Yang
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Xinnuo Xu
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Ruoyi Du
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Fuwen Tan
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Panagiotis Eustratiadis
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Hmrishav Bandyopadhyay
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Papers

  1. FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs
    AAAI 2026 ·
    Royson Lee
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  2. A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning
    AAAI 2025 ·
    Minyoung Kim
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  3. ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning
    ICLR 2025 ·
    Ruchika Chavhan
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  4. FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
    ICCV 2025 ·
    Hao Mark Chen
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  5. HyperIV: Real-time Implied Volatility Smoothing
    ICML 2025 ·
    Yongxin Yang
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  6. LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning
    ICLR 2025 ·
    Minyoung Kim
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  7. MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection
    WACV 2025 ·
    Raman Dutt
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  8. VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning
    ICLR 2025 ·
    Yongshuo Zong
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  9. A Bayesian Approach to Data Point Selection
    NeurIPS 2024 ·
    Xinnuo Xu
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  10. A Hierarchical Bayesian Model for Few-Shot Meta Learning
    ICLR 2024 ·
    Minyoung Kim
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  11. DemoFusion: Democratising High-Resolution Image Generation With No $$$
    CVPR 2024 ·
    Ruoyi Du
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  12. FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
    ICLR 2024 ·
    Raman Dutt
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  13. Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations
    ICML 2024 ·
    Yongshuo Zong
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  14. MobileQuant: Mobile-friendly Quantization for On-device Language Models
    EMNLP 2024 ·
    Fuwen Tan
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  15. Neural Fine-Tuning Search for Few-Shot Learning
    ICLR 2024 ·
    Panagiotis Eustratiadis
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  16. Recurrent Early Exits for Federated Learning with Heterogeneous Clients
    ICML 2024 ·
    Royson Lee
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  17. Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models
    ICML 2024 ·
    Yongshuo Zong
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  18. SketchINR: A First Look into Sketches as Implicit Neural Representations
    CVPR 2024 ·
    Hmrishav Bandyopadhyay
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