Timothy M. Hospedales

Queen Mary University of London, UK

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

DBLP profile ↗ORCID 0000-0003-4867-7486 ↗Google Scholar ↗Homepage ↗

Venues

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

Frequent coauthors

Minyoung Kim

×5

Royson Lee

×4

Ondrej Bohdal

×4

Da Li

×3

Shell Xu Hu

×3

Yongshuo Zong

×3

Lukasz Dudziak

×3

Ruchika Chavhan

×2

Yongxin Yang

×2

Raman Dutt

×2

Sotirios A. Tsaftaris

×2

Brais Martínez

×2

Papers

FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs
AAAI 2026 ·
Royson Lee
,
Minyoung Kim
,
Fady Rezk
,
Rui Li
,
Stylianos I. Venieris
, Timothy M. Hospedales
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning
AAAI 2025 ·
Minyoung Kim
, Timothy M. Hospedales
ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning
ICLR 2025 ·
Ruchika Chavhan
,
Da Li
, Timothy M. Hospedales
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
ICCV 2025 ·
Hao Mark Chen
,
Shell Xu Hu
,
Wayne Luk
, Timothy M. Hospedales,
Hongxiang Fan
HyperIV: Real-time Implied Volatility Smoothing
ICML 2025 ·
Yongxin Yang
,
Wenqi Chen
,
Chao Shu
, Timothy M. Hospedales
LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning
ICLR 2025 ·
Minyoung Kim
, Timothy M. Hospedales
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection
WACV 2025 ·
Raman Dutt
,
Ondrej Bohdal
,
Pedro Sanchez
,
Sotirios A. Tsaftaris
, Timothy M. Hospedales
VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning
ICLR 2025 ·
Yongshuo Zong
,
Ondrej Bohdal
, Timothy M. Hospedales
A Bayesian Approach to Data Point Selection
NeurIPS 2024 ·
Xinnuo Xu
,
Minyoung Kim
,
Royson Lee
,
Brais Martínez
, Timothy M. Hospedales
A Hierarchical Bayesian Model for Few-Shot Meta Learning
ICLR 2024 ·
Minyoung Kim
, Timothy M. Hospedales
DemoFusion: Democratising High-Resolution Image Generation With No $$$
CVPR 2024 ·
Ruoyi Du
,
Dongliang Chang
, Timothy M. Hospedales,
Yi-Zhe Song
,
Zhanyu Ma
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
ICLR 2024 ·
Raman Dutt
,
Ondrej Bohdal
,
Sotirios A. Tsaftaris
, Timothy M. Hospedales
Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations
ICML 2024 ·
Yongshuo Zong
,
Tingyang Yu
,
Ruchika Chavhan
,
Bingchen Zhao
, Timothy M. Hospedales
MobileQuant: Mobile-friendly Quantization for On-device Language Models
EMNLP 2024 ·
Fuwen Tan
,
Royson Lee
,
Lukasz Dudziak
,
Shell Xu Hu
,
Sourav Bhattacharya
, Timothy M. Hospedales,
Georgios Tzimiropoulos
,
Brais Martínez
Neural Fine-Tuning Search for Few-Shot Learning
ICLR 2024 ·
Panagiotis Eustratiadis
,
Lukasz Dudziak
,
Da Li
, Timothy M. Hospedales
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
ICML 2024 ·
Royson Lee
,
Javier Fernández-Marqués
,
Shell Xu Hu
,
Da Li
,
Stefanos Laskaridis
,
Lukasz Dudziak
, Timothy M. Hospedales,
Ferenc Huszár
,
Nicholas Donald Lane
Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models
ICML 2024 ·
Yongshuo Zong
,
Ondrej Bohdal
,
Tingyang Yu
,
Yongxin Yang
, Timothy M. Hospedales
SketchINR: A First Look into Sketches as Implicit Neural Representations
CVPR 2024 ·
Hmrishav Bandyopadhyay
,
Ayan Kumar Bhunia
,
Pinaki Nath Chowdhury
,
Aneeshan Sain
,
Tao Xiang
, Timothy M. Hospedales,
Yi-Zhe Song