Timothy M. Hospedales

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 306

Top Venues

University of Edinburgh, UK (PHD)

Education History

University of Edinburgh, UK

PHD

Publications

Hmrishav Bandyopadhyay, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song
SketchINR: A First Look into Sketches as Implicit Neural Representations. CoRR (2024)
Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. WACV (2024)
Ruchika Chavhan, Da Li, Timothy M. Hospedales
ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning. CoRR (2024)
Martin Ferianc, Ondrej Bohdal, Timothy M. Hospedales, Miguel R. D. Rodrigues
Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks. Trans. Mach. Learn. Res. 2024 (2024)
Li Liu, Timothy M. Hospedales, Yann LeCun, Mingsheng Long, Jiebo Luo, Wanli Ouyang, Matti Pietikäinen, Tinne Tuytelaars
Editorial: Learning With Fewer Labels in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis. ICLR (2024)
Minyoung Kim, Timothy M. Hospedales
A Hierarchical Bayesian Model for Few-Shot Meta Learning. ICLR (2024)
Bingchen Zhao, Yongshuo Zong, Letian Zhang, Timothy M. Hospedales
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning. CoRR (2024)
Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
Recurrent Early Exits for Federated Learning with Heterogeneous Clients. CoRR (2024)
Ruchika Chavhan, Ondrej Bohdal, Yongshuo Zong, Da Li, Timothy M. Hospedales
Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted. CoRR (2024)
Panagiotis Eustratiadis, Lukasz Dudziak, Da Li, Timothy M. Hospedales
Neural Fine-Tuning Search for Few-Shot Learning. ICLR (2024)
Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy M. Hospedales
Feed-Forward Latent Domain Adaptation. WACV (2024)
Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, Yongxin Yang, Timothy M. Hospedales
Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models. CoRR (2024)
Yongshuo Zong, Ondrej Bohdal, Timothy M. Hospedales
VL-ICL Bench: The Devil in the Details of Benchmarking Multimodal In-Context Learning. CoRR (2024)
Leonardo Iurada, Silvia Bucci, Timothy M. Hospedales, Tatiana Tommasi
Fairness Meets Cross-Domain Learning: A Benchmark of Models and Metrics. IEEE Access 12 (2024)
Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales
MemControl: Mitigating Memorization in Medical Diffusion Models via Automated Parameter Selection. CoRR (2024)
Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
FedL2P: Federated Learning to Personalize. CoRR (2023)
Minyoung Kim, Da Li, Timothy M. Hospedales
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach. ICLR (2023)
Minyoung Kim, Da Li, Timothy M. Hospedales
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach. CoRR (2023)
Cristina Cornelio, Jan Stuehmer, Shell Xu Hu, Timothy M. Hospedales
Learning where and when to reason in neuro-symbolic inference. ICLR (2023)
Ruolin Yang, Da Li, Conghui Hu, Timothy M. Hospedales, Honggang Zhang, Yi-Zhe Song
Sketch-based Video Object Segmentation: Benchmark and Analysis. BMVC (2023)
Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszar, Nicholas D. Lane
FedL2P: Federated Learning to Personalize. NeurIPS (2023)
Minyoung Kim, Timothy M. Hospedales
BayesTune: Bayesian Sparse Deep Model Fine-tuning. NeurIPS (2023)
Minyoung Kim, Timothy M. Hospedales
BayesDLL: Bayesian Deep Learning Library. CoRR (2023)
Ruoyi Du, Dongliang Chang, Kongming Liang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma
On-the-Fly Category Discovery. CVPR (2023)
Mustafa Taha Koçyigit, Timothy M. Hospedales, Hakan Bilen
Accelerating Self-Supervised Learning via Efficient Training Strategies. WACV (2023)
Ondrej Bohdal, Timothy M. Hospedales, Philip H. S. Torr, Fazl Barez
Fairness in AI and Its Long-Term Implications on Society. CoRR (2023)
Ruchika Chavhan, Henry Gouk, Da Li, Timothy M. Hospedales
Quality Diversity for Visual Pre-Training. ICCV (2023)
Yongxin Yang, Timothy M. Hospedales
Partial Index Tracking: A Meta-Learning Approach. CoLLAs (2023)
Fengyin Lin, Mingkang Li, Da Li, Timothy M. Hospedales, Yi-Zhe Song, Yonggang Qi
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style. CVPR (2023)
Linus Ericsson, Da Li, Timothy M. Hospedales
Better Practices for Domain Adaptation. CoRR (2023)
Calum Heggan, Timothy M. Hospedales, Sam Budgett, Mehrdad Yaghoobi
MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations. CoRR (2023)
Yongshuo Zong, Yongxin Yang, Timothy M. Hospedales
MEDFAIR: Benchmarking Fairness for Medical Imaging. ICLR (2023)
Yongshuo Zong, Tingyang Yu, Bingchen Zhao, Ruchika Chavhan, Timothy M. Hospedales
Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations. CoRR (2023)
Ruchika Chavhan, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy M. Hospedales
Amortised Invariance Learning for Contrastive Self-Supervision. ICLR (2023)
Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
ChiroDiff: Modelling chirographic data with Diffusion Models. ICLR (2023)
Ondrej Bohdal, Da Li, Timothy M. Hospedales
Label Calibration for Semantic Segmentation Under Domain Shift. CoRR (2023)
Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy M. Hospedales
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months. CoRR (2023)
Minyoung Kim, Timothy M. Hospedales
A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning. CoRR (2023)
Luísa Shimabucoro, Timothy M. Hospedales, Henry Gouk
Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose? CoRR (2023)
Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy M. Hospedales
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn. CVPR (2023)
Ruolin Yang, Da Li, Conghui Hu, Timothy M. Hospedales, Honggang Zhang, Yi-Zhe Song
Sketch-based Video Object Segmentation: Benchmark and Analysis. CoRR (2023)
Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. CoRR (2023)
Dongliang Chang, Yujun Tong, Ruoyi Du, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma
An Erudite Fine-Grained Visual Classification Model. CVPR (2023)
Zhihe Lu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
Uncertainty-Aware Source-Free Domain Adaptive Semantic Segmentation. IEEE Trans. Image Process. 32 (2023)
Peng Xu, Timothy M. Hospedales, Qiyue Yin, Yi-Zhe Song, Tao Xiang, Liang Wang
Deep Learning for Free-Hand Sketch: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Ruchika Chavhan, Henry Gouk, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy M. Hospedales
Amortised Invariance Learning for Contrastive Self-Supervision. CoRR (2023)
Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
ChiroDiff: Modelling chirographic data with Diffusion Models. CoRR (2023)
Yongxin Yang, Timothy M. Hospedales
On Calibration of Mathematical Finance Models by Hypernetworks. ECML/PKDD (6) (2023)
Leonardo Iurada, Silvia Bucci, Timothy M. Hospedales, Tatiana Tommasi
Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics. CoRR (2023)
Yurong Guo, Ruoyi Du, Yuan Dong, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma
Task-aware Adaptive Learning for Cross-domain Few-shot Learning. ICCV (2023)
Yongxin Yang, Timothy M. Hospedales
Mixture of Normalizing Flows for European Option Pricing. UAI (2023)
Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error. Trans. Mach. Learn. Res. 2023 (2023)
Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis. CoRR (2023)
Yongshuo Zong, Oisin Mac Aodha, Timothy M. Hospedales
Self-Supervised Multimodal Learning: A Survey. CoRR (2023)
Panagiotis Eustratiadis, Lukasz Dudziak, Da Li, Timothy M. Hospedales
Neural Fine-Tuning Search for Few-Shot Learning. CoRR (2023)
Minyoung Kim, Timothy M. Hospedales
FedHB: Hierarchical Bayesian Federated Learning. CoRR (2023)
Linus Ericsson, Da Li, Timothy M. Hospedales
Better Practices for Domain Adaptation. AutoML (2023)
Fengyin Lin, Mingkang Li, Da Li, Timothy M. Hospedales, Yi-Zhe Song, Yonggang Qi
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style. CoRR (2023)
Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy M. Hospedales
Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months. ICBINB (2023)
Ondrej Bohdal, Da Li, Timothy M. Hospedales
Feed-Forward Source-Free Domain Adaptation via Class Prototypes. CoRR (2023)
Ruoyi Du, Dongliang Chang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma
DemoFusion: Democratising High-Resolution Image Generation With No $$$. CoRR (2023)
Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy M. Hospedales
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn. CoRR (2023)
Calum Heggan, Timothy M. Hospedales, Sam Budgett, Mehrdad Yaghoobi
MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations. INTERSPEECH (2023)
Cristina Cornelio, Jan Stühmer, Shell Xu Hu, Timothy M. Hospedales
Learning Where and When to Reason in Neuro-Symbolic Inference. NeSy (2023)
Martin Ferianc, Ondrej Bohdal, Timothy M. Hospedales, Miguel R. D. Rodrigues
Impact of Noise on Calibration and Generalisation of Neural Networks. CoRR (2023)
Jingshi Lei, Da Li, Chengming Xu, Liming Fang, Timothy M. Hospedales, Yanwei Fu
Worst-case Feature Risk Minimization for Data-Efficient Learning. Trans. Mach. Learn. Res. 2023 (2023)
Boyan Gao, Henry Gouk, Yongxin Yang, Timothy M. Hospedales
Loss Function Learning for Domain Generalization by Implicit Gradient. ICML (2022)
Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. CoRR (2022)
Marija Jegorova, Stéphane Doncieux, Timothy M. Hospedales
Behavioral Repertoire via Generative Adversarial Policy Networks. IEEE Trans. Cogn. Dev. Syst. 14 (4) (2022)
Ruchika Chavhan, Henry Gouk, Jan Stühmer, Timothy M. Hospedales
HyperInvariances: Amortizing Invariance Learning. CoRR (2022)
Yongshuo Zong, Yongxin Yang, Timothy M. Hospedales
MEDFAIR: Benchmarking Fairness for Medical Imaging. CoRR (2022)
Lucas Deecke, Timothy M. Hospedales, Hakan Bilen
Visual Representation Learning over Latent Domains. ICLR (2022)
Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy M. Hospedales
Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention. CoRR (2022)
Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. CVPR (2022)
Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. CoRR (2022)
Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
SketchODE: Learning neural sketch representation in continuous time. ICLR (2022)
Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales
Fisher SAM: Information Geometry and Sharpness Aware Minimisation. ICML (2022)
Conghui Hu, Yongxin Yang, Yunpeng Li, Timothy M. Hospedales, Yi-Zhe Song
Towards Unsupervised Sketch-based Image Retrieval. BMVC (2022)
Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang
Online Hyperparameter Meta-Learning with Hypergradient Distillation. ICLR (2022)
Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi
MetaAudio: A Few-Shot Audio Classification Benchmark. CoRR (2022)
Linus Ericsson, Henry Gouk, Chen Change Loy, Timothy M. Hospedales
Self-Supervised Representation Learning: Introduction, advances, and challenges. IEEE Signal Process. Mag. 39 (3) (2022)
Miguel Jaques, Martin Asenov, Michael Burke, Timothy M. Hospedales
Vision-based System Identification and 3D Keypoint Discovery using Dynamics Constraints. L4DC (2022)
Mustafa Taha Koçyigit, Timothy M. Hospedales, Hakan Bilen
Accelerating Self-Supervised Learning via Efficient Training Strategies. CoRR (2022)
Da Li, Henry Gouk, Timothy M. Hospedales
Finding lost DG: Explaining domain generalization via model complexity. CoRR (2022)
Timothy M. Hospedales, Antreas Antoniou, Paul Micaelli, Amos J. Storkey
Meta-Learning in Neural Networks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Linus Ericsson, Henry Gouk, Timothy M. Hospedales
Why Do Self-Supervised Models Transfer? On the Impact of Invariance on Downstream Tasks. BMVC (2022)
Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales
Attacking Adversarial Defences by Smoothing the Loss Landscape. CoRR (2022)
Boyan Gao, Henry Gouk, Haebeom Lee, Timothy M. Hospedales
Meta Mirror Descent: Optimiser Learning for Fast Convergence. CoRR (2022)
Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales
Fisher SAM: Information Geometry and Sharpness Aware Minimisation. CoRR (2022)
Zicheng Liu, Da Li, Javier Fernández-Marqués, Stefanos Laskaridis, Yan Gao, Lukasz Dudziak, Stan Z. Li, Shell Xu Hu, Timothy M. Hospedales
Federated Learning for Inference at Anytime and Anywhere. CoRR (2022)
Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi
MetaAudio: A Few-Shot Audio Classification Benchmark. ICANN (1) (2022)
Xueting Zhang, Debin Meng, Henry Gouk, Timothy M. Hospedales
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition. CoRR (2021)
Yiying Li, Wei Zhou, Huaimin Wang, Haibo Mi, Timothy M. Hospedales
FedH2L: Federated Learning with Model and Statistical Heterogeneity. CoRR (2021)
Chenyang Zhao, Timothy M. Hospedales
Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation. ACML (2021)
Qian Yu, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
Fine-Grained Instance-Level Sketch-Based Image Retrieval. Int. J. Comput. Vis. 129 (2) (2021)
Efthymia Tsamoura, Timothy M. Hospedales, Loizos Michael
Neural-Symbolic Integration: A Compositional Perspective. AAAI (2021)
Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. CoRR (2021)
Yuting Qiang, Yongxin Yang, Xueting Zhang, Yanwen Guo, Timothy M. Hospedales
Tensor Composition Net for Visual Relationship Prediction. BMVC (2021)
Miguel Jaques, Martin Asenov, Michael Burke, Timothy M. Hospedales
Vision-based system identification and 3D keypoint discovery using dynamics constraints. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Timothy M. Hospedales