Hospedales, Timothy

68 publications

ICLR 2025 ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning Ruchika Chavhan, Da Li, Timothy Hospedales

ICCV 2025 FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization Hao Mark Chen, Shell Xu Hu, Wayne Luk, Timothy Hospedales, Hongxiang Fan

ICML 2025 HyperIV: Real-Time Implied Volatility Smoothing Yongxin Yang, Wenqi Chen, Chao Shu, Timothy Hospedales

ICLR 2025 LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning Minyoung Kim, Timothy Hospedales

WACV 2025 MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection Raman Dutt, Ondrej Bohdal, Pedro Sanchez, Sotirios Tsaftaris, Timothy Hospedales

ICLRW 2025 Model Diffusion for Certifiable Few-Shot Transfer Learning Fady Rezk, Royson Lee, Henry Gouk, Timothy Hospedales, Minyoung Kim

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

NeurIPS 2024 A Bayesian Approach to Data Point Selection Xinnuo Xu, Minyoung Kim, Royson Lee, Brais Martinez, Timothy Hospedales

ICLR 2024 A Hierarchical Bayesian Model for Few-Shot Meta Learning Minyoung Kim, Timothy Hospedales

CVPR 2024 DemoFusion: Democratising High-Resolution Image Generation with No $$$ Ruoyi Du, Dongliang Chang, Timothy Hospedales, Yi-Zhe Song, Zhanyu Ma

TMLR 2024 Evaluating the Evaluators: Are Validation Methods for Few-Shot Learning Fit for Purpose? Luísa Shimabucoro, Ruchika Chavhan, Timothy Hospedales, Henry Gouk

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

WACV 2024 Feed-Forward Latent Domain Adaptation Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy Hospedales

ICML 2024 Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations Yongshuo Zong, Tingyang Yu, Ruchika Chavhan, Bingchen Zhao, Timothy Hospedales

ICMLW 2024 Liouna: Biologically Plausible Learning for Efficient Pre-Training of Transferrable Deep Models Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy Hospedales

ICMLW 2024 Long-Context Vision Large Language Models: Empirical Insights and a Baseline Yongshuo Zong, Ismail Elezi, Yongxin Yang, Jiankang Deng, Timothy Hospedales

WACV 2024 Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation Royson Lee, Rui Li, Stylianos Venieris, Timothy Hospedales, Ferenc Huszár, Nicholas D. Lane

TMLR 2024 Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks Martin Ferianc, Ondrej Bohdal, Timothy Hospedales, Miguel R. D. Rodrigues

ICLR 2024 Neural Fine-Tuning Search for Few-Shot Learning Panagiotis Eustratiadis, Łukasz Dudziak, Da Li, Timothy Hospedales

MIDL 2024 Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy Hospedales

ICML 2024 Recurrent Early Exits for Federated Learning with Heterogeneous Clients Royson Lee, Javier Fernandez-Marques, Shell Xu Hu, Da Li, Stefanos Laskaridis, Łukasz Dudziak, Timothy Hospedales, Ferenc Huszár, Nicholas Donald Lane

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

CVPR 2024 SketchINR: A First Look into Sketches as Implicit Neural Representations Hmrishav Bandyopadhyay, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Tao Xiang, Timothy Hospedales, Yi-Zhe Song

ICLR 2023 Amortised Invariance Learning for Contrastive Self-Supervision Ruchika Chavhan, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy Hospedales

CVPR 2023 An Erudite Fine-Grained Visual Classification Model Dongliang Chang, Yujun Tong, Ruoyi Du, Timothy Hospedales, Yi-Zhe Song, Zhanyu Ma

NeurIPS 2023 BayesTune: Bayesian Sparse Deep Model Fine-Tuning Minyoung Kim, Timothy Hospedales

AutoML 2023 Better Practices for Domain Adaptation Linus Ericsson, Da Li, Timothy Hospedales

ICLR 2023 ChiroDiff: Modelling Chirographic Data with Diffusion Models Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song

ICLR 2023 Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach Minyoung Kim, Da Li, Timothy Hospedales

NeurIPS 2023 FedL2P: Federated Learning to Personalize Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy Hospedales, Ferenc Huszar, Nicholas Lane

NeurIPSW 2023 Is Scaling Learned Optimizers Worth It? Evaluating the Value of VeLO's 4000 TPU Months Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy Hospedales

ICLRW 2023 Label Calibration for Semantic Segmentation Under Domain Shift Ondrej Bohdal, Da Li, Timothy Hospedales

ICLR 2023 Learning Where and When to Reason in Neuro-Symbolic Inference Cristina Cornelio, Jan Stuehmer, Shell Xu Hu, Timothy Hospedales

ICLR 2023 MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong, Yongxin Yang, Timothy Hospedales

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

TMLR 2023 Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error Ondrej Bohdal, Yongxin Yang, Timothy Hospedales

CVPR 2023 On-the-Fly Category Discovery Ruoyi Du, Dongliang Chang, Kongming Liang, Timothy Hospedales, Yi-Zhe Song, Zhanyu Ma

CoLLAs 2023 Partial Index Tracking: A Meta-Learning Approach Yongxin Yang, Timothy Hospedales

ICCV 2023 Quality Diversity for Visual Pre-Training Ruchika Chavhan, Henry Gouk, Da Li, Timothy Hospedales

ICCV 2023 Task-Aware Adaptive Learning for Cross-Domain Few-Shot Learning Yurong Guo, Ruoyi Du, Yuan Dong, Timothy Hospedales, Yi-Zhe Song, Zhanyu Ma

TMLR 2023 Worst-Case Feature Risk Minimization for Data-Efficient Learning Jingshi Lei, Da Li, Chengming Xu, Liming Fang, Timothy Hospedales, Yanwei Fu

CVPR 2023 Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style Fengyin Lin, Mingkang Li, Da Li, Timothy Hospedales, Yi-Zhe Song, Yonggang Qi

ICMLW 2022 Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy Hospedales

ICML 2022 Fisher SAM: Information Geometry and Sharpness Aware Minimisation Minyoung Kim, Da Li, Shell X Hu, Timothy Hospedales

ICMLW 2022 HyperInvariances: Amortizing Invariance Learning Ruchika Chavhan, Henry Gouk, Jan Stuehmer, Timothy Hospedales

ICML 2022 Loss Function Learning for Domain Generalization by Implicit Gradient Boyan Gao, Henry Gouk, Yongxin Yang, Timothy Hospedales

ICLR 2022 Online Hyperparameter Meta-Learning with Hypergradient Distillation Hae Beom Lee, Hayeon Lee, JaeWoong Shin, Eunho Yang, Timothy Hospedales, Sung Ju Hwang

ICLR 2022 SketchODE: Learning Neural Sketch Representation in Continuous Time Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song

L4DC 2022 Vision-Based System Identification and 3D Keypoint Discovery Using Dynamics Constraints Miguel Jaques, Martin Asenov, Michael Burke, Timothy Hospedales

ICLR 2022 Visual Representation Learning over Latent Domains Lucas Deecke, Timothy Hospedales, Hakan Bilen

ICLR 2021 Distance-Based Regularisation of Deep Networks for Fine-Tuning Henry Gouk, Timothy Hospedales, Massimiliano Pontil

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

ICLR 2021 Interpreting Knowledge Graph Relation Representation from Word Embeddings Carl Allen, Ivana Balazevic, Timothy Hospedales

ACML 2021 Robust Domain Randomised Reinforcement Learning Through Peer-to-Peer Distillation Chenyang Zhao, Timothy Hospedales

ICML 2021 Weight-Covariance Alignment for Adversarially Robust Neural Networks Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy Hospedales

ECCV 2020 BézierSketch: A Generative Model for Scalable Vector Sketches Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song

ECCV 2020 DADA: Differentiable Automatic Data Augmentation Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy Hospedales, Neil M. Robertson, Yongxin Yang

ECCV 2020 Learning to Generate Novel Domains for Domain Generalization Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, Tao Xiang

NeurIPS 2020 Online Meta-Critic Learning for Off-Policy Actor-Critic Methods Wei Zhou, Yiying Li, Yongxin Yang, Huaimin Wang, Timothy Hospedales

ECCV 2020 Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation Da Li, Timothy Hospedales

ICLR 2020 Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video Miguel Jaques, Michael Burke, Timothy Hospedales

ICML 2019 Analogies Explained: Towards Understanding Word Embeddings Carl Allen, Timothy Hospedales

ICML 2019 Feature-Critic Networks for Heterogeneous Domain Generalization Yiying Li, Yongxin Yang, Wei Zhou, Timothy Hospedales

NeurIPS 2019 Multi-Relational Poincaré Graph Embeddings Ivana Balazevic, Carl Allen, Timothy Hospedales

ICMLW 2019 TuckER: Tensor Factorization for Knowledge Graph Completion Ivana Balazevic, Carl Allen, Timothy Hospedales

NeurIPS 2019 What the Vec? Towards Probabilistically Grounded Embeddings Carl Allen, Ivana Balazevic, Timothy Hospedales

ECCV 2018 Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua, Zhihong Zhang, Fumin Shen, Ling Shao, Timothy Hospedales, Neil Robertson, Yongxin Yang

CVPR 2015 Making Better Use of Edges via Perceptual Grouping Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy Hospedales, Yi Li, Jun Guo