Timothy M. Hospedales

404 papers A* 97A 29B 5C 2Misc 4Journal 215Unranked 47

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic Expert Sharing: Decoupling Memory from Parallelism in Mixture-of-Experts Diffusion LLMs. CoRR Hao Mark Chen, Zhiwen Mo, Royson Lee, Qianzhou Wang, Da Li, Shell Xu Hu, Wayne Luk, Timothy M. Hospedales, Hongxiang Fan
2026	A*	`conf`	FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs. AAAI Royson Lee, Minyoung Kim, Fady Rezk, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales
2026	J	`jnl`	From Misclassifications to Outliers: Joint Reliability Assessment in Classification. CoRR Yang Li, Youyang Sha, Yinzhi Wang, Timothy M. Hospedales, Xi Shen, Shell Xu Hu, Xuanlong Yu
2025	A*	`conf`	A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning. AAAI Minyoung Kim, Timothy M. Hospedales
2025	—	`conf`	Benchmarking Transfer Learning in Passive Sonar: An Evaluation Study. MLSP Felix Ingham, Richard Culwick, Duncan Williams, Timothy M. Hospedales
2025	J	`jnl`	CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographs. CoRR Raman Dutt, Pedro Sanchez, Yongchen Yao, Steven McDonagh, Sotirios A. Tsaftaris, Timothy M. Hospedales
2025	A*	`conf`	ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning. ICLR Ruchika Chavhan, Da Li, Timothy M. Hospedales
2025	J	`jnl`	Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation. CoRR Boyan Gao, Bo Zhao, Shreyank N. Gowda, Xingrun Xing, Yibo Yang, Timothy M. Hospedales, David A. Clifton
2025	J	`jnl`	FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization. CoRR Hao Mark Chen, Shell Xu Hu, Wayne Luk, Timothy M. Hospedales, Hongxiang Fan
2025	J	`jnl`	FedHB: Hierarchical Bayesian Federated Learning. J. Mach. Learn. Res. Minyoung Kim, Timothy M. Hospedales
2025	J	`jnl`	FedP CoRR Royson Lee, Minyoung Kim, Fady Rezk, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales
2025	A*	`conf`	HyperIV: Real-time Implied Volatility Smoothing. ICML Yongxin Yang, Wenqi Chen, Chao Shu, Timothy M. Hospedales
2025	A*	`conf`	LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning. ICLR Minyoung Kim, Timothy M. Hospedales
2025	J	`jnl`	MUStReason: A Benchmark for Diagnosing Pragmatic Reasoning in Video-LMs for Multimodal Sarcasm Detection. CoRR Anisha Saha, Varsha Suresh, Timothy M. Hospedales, Vera Demberg
2025	J	`jnl`	MedVision: Dataset and Benchmark for Quantitative Medical Image Analysis. CoRR Yongchen Yao, Yongshuo Zong, Raman Dutt, Yongxin Yang, Sotirios A. Tsaftaris, Timothy M. Hospedales
2025	A	`conf`	MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection. WACV Raman Dutt, Ondrej Bohdal, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales
2025	J	`jnl`	Model Diffusion for Certifiable Few-shot Transfer Learning. CoRR Fady Rezk, Royson Lee, Henry Gouk, Timothy M. Hospedales, Minyoung Kim
2025	J	`jnl`	Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning. CoRR Taehoon Kim, Henry Gouk, Minyoung Kim, Timothy M. Hospedales
2025	J	`jnl`	Self-Supervised Multimodal Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Yongshuo Zong, Oisin Mac Aodha, Timothy M. Hospedales
2025	J	`jnl`	Test-Time Alignment of Text-to-Image Diffusion Models via Null-Text Embedding Optimisation. CoRR Taehoon Kim, Henry Gouk, Timothy M. Hospedales
2025	J	`jnl`	The Reward Model Selection Crisis in Personalized Alignment. CoRR Fady Rezk, Yuangang Pan, Chuan-Sheng Foo, Xun Xu, Nancy Chen, Henry Gouk, Timothy M. Hospedales
2025	A*	`conf`	VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning. ICLR Yongshuo Zong, Ondrej Bohdal, Timothy M. Hospedales
2024	A*	`conf`	A Bayesian Approach to Data Point Selection. NeurIPS Xinnuo Xu, Minyoung Kim, Royson Lee, Brais Martínez, Timothy M. Hospedales
2024	J	`jnl`	A Bayesian Approach to Data Point Selection. CoRR Xinnuo Xu, Minyoung Kim, Royson Lee, Brais Martínez, Timothy M. Hospedales
2024	A*	`conf`	A Hierarchical Bayesian Model for Few-Shot Meta Learning. ICLR Minyoung Kim, Timothy M. Hospedales
2024	J	`jnl`	A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning. CoRR Minyoung Kim, Timothy M. Hospedales
2024	J	`jnl`	Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning. CoRR Bingchen Zhao, Yongshuo Zong, Letian Zhang, Timothy M. Hospedales
2024	J	`jnl`	Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models. CoRR Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales
2024	J	`jnl`	ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning. CoRR Ruchika Chavhan, Da Li, Timothy M. Hospedales
2024	A*	`conf`	DemoFusion: Democratising High-Resolution Image Generation With No $$$. CVPR Ruoyi Du, Dongliang Chang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma
2024	J	`jnl`	Editorial: Learning With Fewer Labels in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. Li Liu, Timothy M. Hospedales, Yann LeCun, Mingsheng Long, Jiebo Luo, Wanli Ouyang, Matti Pietikäinen, Tinne Tuytelaars
2024	J	`jnl`	Evaluating the Evaluators: Are Validation Methods for Few-Shot Learning Fit for Purpose? Trans. Mach. Learn. Res. Luísa Shimabucoro, Ruchika Chavhan, Timothy M. Hospedales, Henry Gouk
2024	A*	`conf`	FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis. ICLR Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales
2024	J	`jnl`	Fairness Meets Cross-Domain Learning: A Benchmark of Models and Metrics. IEEE Access Leonardo Iurada, Silvia Bucci, Timothy M. Hospedales, Tatiana Tommasi
2024	A	`conf`	Feed-Forward Latent Domain Adaptation. WACV Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy M. Hospedales
2024	A*	`conf`	Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations. ICML Yongshuo Zong, Tingyang Yu, Ruchika Chavhan, Bingchen Zhao, Timothy M. Hospedales
2024	B	`conf`	From Pixels to Waveforms: Evaluating Pre-trained Image Models for Few-Shot Audio Classification. IJCNN Calum Heggan, Timothy M. Hospedales, Sam Budgett, Mehrdad Yaghoobi
2024	J	`jnl`	MemControl: Mitigating Memorization in Medical Diffusion Models via Automated Parameter Selection. CoRR Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales
2024	J	`jnl`	Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted. CoRR Ruchika Chavhan, Ondrej Bohdal, Yongshuo Zong, Da Li, Timothy M. Hospedales
2024	A	`conf`	Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. WACV Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
2024	—	`conf`	MobileQuant: Mobile-friendly Quantization for On-device Language Models. EMNLP (Findings) Fuwen Tan, Royson Lee, Lukasz Dudziak, Shell Xu Hu, Sourav Bhattacharya, Timothy M. Hospedales, Georgios Tzimiropoulos, Brais Martínez
2024	J	`jnl`	MobileQuant: Mobile-friendly Quantization for On-device Language Models. CoRR Fuwen Tan, Royson Lee, Lukasz Dudziak, Shell Xu Hu, Sourav Bhattacharya, Timothy M. Hospedales, Georgios Tzimiropoulos, Brais Martínez
2024	J	`jnl`	Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks. Trans. Mach. Learn. Res. Martin Ferianc, Ondrej Bohdal, Timothy M. Hospedales, Miguel R. D. Rodrigues
2024	A*	`conf`	Neural Fine-Tuning Search for Few-Shot Learning. ICLR Panagiotis Eustratiadis, Lukasz Dudziak, Da Li, Timothy M. Hospedales
2024	—	`conf`	On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification. ICASSP Workshops Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi
2024	J	`jnl`	On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification. CoRR Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi
2024	—	`conf`	Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. MIDL Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales
2024	A*	`conf`	Recurrent Early Exits for Federated Learning with Heterogeneous Clients. ICML Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas Donald Lane
2024	J	`jnl`	Recurrent Early Exits for Federated Learning with Heterogeneous Clients. CoRR Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
2024	A*	`conf`	Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models. ICML Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, Yongxin Yang, Timothy M. Hospedales
2024	J	`jnl`	Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models. CoRR Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, Yongxin Yang, Timothy M. Hospedales
2024	A*	`conf`	SketchINR: A First Look into Sketches as Implicit Neural Representations. CVPR Hmrishav Bandyopadhyay, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song
2024	J	`jnl`	SketchINR: A First Look into Sketches as Implicit Neural Representations. CoRR Hmrishav Bandyopadhyay, Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song
2024	J	`jnl`	VL-ICL Bench: The Devil in the Details of Benchmarking Multimodal In-Context Learning. CoRR Yongshuo Zong, Ondrej Bohdal, Timothy M. Hospedales
2023	J	`jnl`	A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning. CoRR Minyoung Kim, Timothy M. Hospedales
2023	A	`conf`	Accelerating Self-Supervised Learning via Efficient Training Strategies. WACV Mustafa Taha Koçyigit, Timothy M. Hospedales, Hakan Bilen
2023	A*	`conf`	Amortised Invariance Learning for Contrastive Self-Supervision. ICLR Ruchika Chavhan, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy M. Hospedales
2023	J	`jnl`	Amortised Invariance Learning for Contrastive Self-Supervision. CoRR Ruchika Chavhan, Henry Gouk, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy M. Hospedales
2023	A*	`conf`	An Erudite Fine-Grained Visual Classification Model. CVPR Dongliang Chang, Yujun Tong, Ruoyi Du, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma
2023	—	`conf`	An Evaluation of Self-supervised Learning for Portfolio Diversification. ICANN (3) Yongxin Yang, Timothy M. Hospedales
2023	J	`jnl`	BayesDLL: Bayesian Deep Learning Library. CoRR Minyoung Kim, Timothy M. Hospedales
2023	A*	`conf`	BayesTune: Bayesian Sparse Deep Model Fine-tuning. NeurIPS Minyoung Kim, Timothy M. Hospedales
2023	—	`conf`	Better Practices for Domain Adaptation. AutoML Linus Ericsson, Da Li, Timothy M. Hospedales
2023	J	`jnl`	Better Practices for Domain Adaptation. CoRR Linus Ericsson, Da Li, Timothy M. Hospedales
2023	A*	`conf`	ChiroDiff: Modelling chirographic data with Diffusion Models. ICLR Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2023	J	`jnl`	ChiroDiff: Modelling chirographic data with Diffusion Models. CoRR Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2023	J	`jnl`	Deep Learning for Free-Hand Sketch: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Peng Xu, Timothy M. Hospedales, Qiyue Yin, Yi-Zhe Song, Tao Xiang, Liang Wang
2023	J	`jnl`	DemoFusion: Democratising High-Resolution Image Generation With No $$$. CoRR Ruoyi Du, Dongliang Chang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma
2023	A*	`conf`	Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach. ICLR Minyoung Kim, Da Li, Timothy M. Hospedales
2023	J	`jnl`	Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach. CoRR Minyoung Kim, Da Li, Timothy M. Hospedales
2023	J	`jnl`	Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose? CoRR Luísa Shimabucoro, Timothy M. Hospedales, Henry Gouk
2023	J	`jnl`	FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis. CoRR Raman Dutt, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy M. Hospedales
2023	J	`jnl`	Fairness in AI and Its Long-Term Implications on Society. CoRR Ondrej Bohdal, Timothy M. Hospedales, Philip H. S. Torr, Fazl Barez
2023	J	`jnl`	Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics. CoRR Leonardo Iurada, Silvia Bucci, Timothy M. Hospedales, Tatiana Tommasi
2023	J	`jnl`	FedHB: Hierarchical Bayesian Federated Learning. CoRR Minyoung Kim, Timothy M. Hospedales
2023	A*	`conf`	FedL2P: Federated Learning to Personalize. NeurIPS Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszar, Nicholas D. Lane
2023	J	`jnl`	FedL2P: Federated Learning to Personalize. CoRR Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
2023	J	`jnl`	Feed-Forward Source-Free Domain Adaptation via Class Prototypes. CoRR Ondrej Bohdal, Da Li, Timothy M. Hospedales
2023	J	`jnl`	Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations. CoRR Yongshuo Zong, Tingyang Yu, Bingchen Zhao, Ruchika Chavhan, Timothy M. Hospedales
2023	J	`jnl`	Impact of Noise on Calibration and Generalisation of Neural Networks. CoRR Martin Ferianc, Ondrej Bohdal, Timothy M. Hospedales, Miguel R. D. Rodrigues
2023	—	`conf`	Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months. ICBINB Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy M. Hospedales
2023	J	`jnl`	Is Scaling Learned Optimizers Worth It? Evaluating The Value of VeLO's 4000 TPU Months. CoRR Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy M. Hospedales
2023	J	`jnl`	Label Calibration for Semantic Segmentation Under Domain Shift. CoRR Ondrej Bohdal, Da Li, Timothy M. Hospedales
2023	C	`conf`	Learning Where and When to Reason in Neuro-Symbolic Inference. NeSy Cristina Cornelio, Jan Stühmer, Shell Xu Hu, Timothy M. Hospedales
2023	A*	`conf`	Learning where and when to reason in neuro-symbolic inference. ICLR Cristina Cornelio, Jan Stuehmer, Shell Xu Hu, Timothy M. Hospedales
2023	A*	`conf`	MEDFAIR: Benchmarking Fairness for Medical Imaging. ICLR Yongshuo Zong, Yongxin Yang, Timothy M. Hospedales
2023	A	`conf`	MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations. INTERSPEECH Calum Heggan, Timothy M. Hospedales, Sam Budgett, Mehrdad Yaghoobi
2023	J	`jnl`	MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations. CoRR Calum Heggan, Timothy M. Hospedales, Sam Budgett, Mehrdad Yaghoobi
2023	A*	`conf`	Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn. CVPR Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy M. Hospedales
2023	J	`jnl`	Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn. CoRR Ondrej Bohdal, Yinbing Tian, Yongshuo Zong, Ruchika Chavhan, Da Li, Henry Gouk, Li Guo, Timothy M. Hospedales
2023	J	`jnl`	Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error. Trans. Mach. Learn. Res. Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales
2023	A	`conf`	Mixture of Normalizing Flows for European Option Pricing. UAI Yongxin Yang, Timothy M. Hospedales
2023	J	`jnl`	Neural Fine-Tuning Search for Few-Shot Learning. CoRR Panagiotis Eustratiadis, Lukasz Dudziak, Da Li, Timothy M. Hospedales
2023	—	`conf`	On Calibration of Mathematical Finance Models by Hypernetworks. ECML/PKDD (6) Yongxin Yang, Timothy M. Hospedales
2023	A*	`conf`	On-the-Fly Category Discovery. CVPR Ruoyi Du, Dongliang Chang, Kongming Liang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma
2023	J	`jnl`	Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity. CoRR Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales
2023	—	`conf`	Partial Index Tracking: A Meta-Learning Approach. CoLLAs Yongxin Yang, Timothy M. Hospedales
2023	A*	`conf`	Quality Diversity for Visual Pre-Training. ICCV Ruchika Chavhan, Henry Gouk, Da Li, Timothy M. Hospedales
2023	J	`jnl`	Self-Supervised Multimodal Learning: A Survey. CoRR Yongshuo Zong, Oisin Mac Aodha, Timothy M. Hospedales
2023	A	`conf`	Sketch-based Video Object Segmentation: Benchmark and Analysis. BMVC Ruolin Yang, Da Li, Conghui Hu, Timothy M. Hospedales, Honggang Zhang, Yi-Zhe Song
2023	J	`jnl`	Sketch-based Video Object Segmentation: Benchmark and Analysis. CoRR Ruolin Yang, Da Li, Conghui Hu, Timothy M. Hospedales, Honggang Zhang, Yi-Zhe Song
2023	A*	`conf`	Task-aware Adaptive Learning for Cross-domain Few-shot Learning. ICCV Yurong Guo, Ruoyi Du, Yuan Dong, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma
2023	J	`jnl`	Uncertainty-Aware Source-Free Domain Adaptive Semantic Segmentation. IEEE Trans. Image Process. Zhihe Lu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2023	J	`jnl`	Worst-case Feature Risk Minimization for Data-Efficient Learning. Trans. Mach. Learn. Res. Jingshi Lei, Da Li, Chengming Xu, Liming Fang, Timothy M. Hospedales, Yanwei Fu
2023	A*	`conf`	Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style. CVPR Fengyin Lin, Mingkang Li, Da Li, Timothy M. Hospedales, Yi-Zhe Song, Yonggang Qi
2023	J	`jnl`	Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style. CoRR Fengyin Lin, Mingkang Li, Da Li, Timothy M. Hospedales, Yi-Zhe Song, Yonggang Qi
2022	J	`jnl`	Accelerating Self-Supervised Learning via Efficient Training Strategies. CoRR Mustafa Taha Koçyigit, Timothy M. Hospedales, Hakan Bilen
2022	J	`jnl`	Attacking Adversarial Defences by Smoothing the Loss Landscape. CoRR Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales
2022	J	`jnl`	Behavioral Repertoire via Generative Adversarial Policy Networks. IEEE Trans. Cogn. Dev. Syst. Marija Jegorova, Stéphane Doncieux, Timothy M. Hospedales
2022	J	`jnl`	Federated Learning for Inference at Anytime and Anywhere. CoRR Zicheng Liu, Da Li, Javier Fernández-Marqués, Stefanos Laskaridis, Yan Gao, Lukasz Dudziak, Stan Z. Li, Shell Xu Hu, Timothy M. Hospedales
2022	J	`jnl`	Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention. CoRR Ondrej Bohdal, Da Li, Shell Xu Hu, Timothy M. Hospedales
2022	J	`jnl`	Finding lost DG: Explaining domain generalization via model complexity. CoRR Da Li, Henry Gouk, Timothy M. Hospedales
2022	A*	`conf`	Fisher SAM: Information Geometry and Sharpness Aware Minimisation. ICML Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales
2022	J	`jnl`	Fisher SAM: Information Geometry and Sharpness Aware Minimisation. CoRR Minyoung Kim, Da Li, Shell Xu Hu, Timothy M. Hospedales
2022	J	`jnl`	HyperInvariances: Amortizing Invariance Learning. CoRR Ruchika Chavhan, Henry Gouk, Jan Stühmer, Timothy M. Hospedales
2022	A*	`conf`	Loss Function Learning for Domain Generalization by Implicit Gradient. ICML Boyan Gao, Henry Gouk, Yongxin Yang, Timothy M. Hospedales
2022	J	`jnl`	MEDFAIR: Benchmarking Fairness for Medical Imaging. CoRR Yongshuo Zong, Yongxin Yang, Timothy M. Hospedales
2022	J	`jnl`	Meta Mirror Descent: Optimiser Learning for Fast Convergence. CoRR Boyan Gao, Henry Gouk, Haebeom Lee, Timothy M. Hospedales
2022	J	`jnl`	Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. CoRR Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
2022	J	`jnl`	Meta-Learning in Neural Networks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Timothy M. Hospedales, Antreas Antoniou, Paul Micaelli, Amos Storkey
2022	—	`conf`	MetaAudio: A Few-Shot Audio Classification Benchmark. ICANN (1) Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi
2022	J	`jnl`	MetaAudio: A Few-Shot Audio Classification Benchmark. CoRR Calum Heggan, Sam Budgett, Timothy M. Hospedales, Mehrdad Yaghoobi
2022	A*	`conf`	Online Hyperparameter Meta-Learning with Hypergradient Distillation. ICLR Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang
2022	A*	`conf`	Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. CVPR Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales
2022	J	`jnl`	Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. CoRR Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales
2022	J	`jnl`	Self-Supervised Representation Learning: Introduction, advances, and challenges. IEEE Signal Process. Mag. Linus Ericsson, Henry Gouk, Chen Change Loy, Timothy M. Hospedales
2022	A*	`conf`	SketchODE: Learning neural sketch representation in continuous time. ICLR Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2022	A	`conf`	Towards Unsupervised Sketch-based Image Retrieval. BMVC Conghui Hu, Yongxin Yang, Yunpeng Li, Timothy M. Hospedales, Yi-Zhe Song
2022	—	`conf`	Vision-based System Identification and 3D Keypoint Discovery using Dynamics Constraints. L4DC Miguel Jaques, Martin Asenov, Michael Burke, Timothy M. Hospedales
2022	A*	`conf`	Visual Representation Learning over Latent Domains. ICLR Lucas Deecke, Timothy M. Hospedales, Hakan Bilen
2022	A	`conf`	Why Do Self-Supervised Models Transfer? On the Impact of Invariance on Downstream Tasks. BMVC Linus Ericsson, Henry Gouk, Timothy M. Hospedales
2021	—	`conf`	A Channel Coding Benchmark for Meta-Learning. NeurIPS Datasets and Benchmarks Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales
2021	J	`jnl`	A Channel Coding Benchmark for Meta-Learning. CoRR Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales
2021	A*	`conf`	A Simple Feature Augmentation for Domain Generalization. ICCV Pan Li, Da Li, Wei Li, Shaogang Gong, Yanwei Fu, Timothy M. Hospedales
2021	A*	`conf`	Cloud2Curve: Generation and Vectorization of Parametric Sketches. CVPR Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2021	J	`jnl`	Cloud2Curve: Generation and Vectorization of Parametric Sketches. CoRR Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2021	A	`conf`	Defensive Tensorization. BMVC Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic
2021	J	`jnl`	Defensive Tensorization. CoRR Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic
2021	A*	`conf`	Distance-Based Regularisation of Deep Networks for Fine-Tuning. ICLR Henry Gouk, Timothy M. Hospedales, Massimiliano Pontil
2021	A*	`conf`	EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization. NeurIPS Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales
2021	J	`jnl`	EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization. CoRR Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales
2021	J	`jnl`	FedH2L: Federated Learning with Model and Statistical Heterogeneity. CoRR Yiying Li, Wei Zhou, Huaimin Wang, Haibo Mi, Timothy M. Hospedales
2021	J	`jnl`	Fine-Grained Instance-Level Sketch-Based Image Retrieval. Int. J. Comput. Vis. Qian Yu, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2021	J	`jnl`	Fine-Grained Instance-Level Sketch-Based Video Retrieval. IEEE Trans. Circuits Syst. Video Technol. Peng Xu, Kun Liu, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo, Yi-Zhe Song
2021	J	`jnl`	Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation. CoRR Minyoung Kim, Timothy M. Hospedales
2021	A*	`conf`	How Well Do Self-Supervised Models Transfer? CVPR Linus Ericsson, Henry Gouk, Timothy M. Hospedales
2021	A*	`conf`	Interpreting Knowledge Graph Relation Representation from Word Embeddings. ICLR Carl Allen, Ivana Balazevic, Timothy M. Hospedales
2021	—	`conf`	Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. NeurIPS (Competition and Demos) Adrian El Baz, Ihsan Ullah, Edesio Alcobaça, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Chaoyu Guan, Isabelle Guyon, Timothy M. Hospedales, Shell Hu, Mike Huisman, Frank Hutter, Zhengying Liu, Felix Mohr, Ekrem Öztürk, Jan N. van Rijn, Haozhe Sun, Xin Wang, Wenwu Zhu
2021	J	`jnl`	Meta-Calibration: Meta-Learning of Model Calibration Using Differentiable Expected Calibration Error. CoRR Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales
2021	A*	`conf`	Neural-Symbolic Integration: A Compositional Perspective. AAAI Efthymia Tsamoura, Timothy M. Hospedales, Loizos Michael
2021	A*	`conf`	NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces. CVPR Miguel Jaques, Michael Burke, Timothy M. Hospedales
2021	J	`jnl`	On Learning Semantic Representations for Large-Scale Abstract Sketches. IEEE Trans. Circuits Syst. Video Technol. Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang
2021	J	`jnl`	Online Hyperparameter Meta-Learning with Hypergradient Distillation. CoRR Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang
2021	C	`conf`	Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation. ACML Chenyang Zhao, Timothy M. Hospedales
2021	A*	`conf`	Searching for Robustness: Loss Learning for Noisy Classification Tasks. ICCV Boyan Gao, Henry Gouk, Timothy M. Hospedales
2021	J	`jnl`	Searching for Robustness: Loss Learning for Noisy Classification Tasks. CoRR Boyan Gao, Henry Gouk, Timothy M. Hospedales
2021	J	`jnl`	Self-Supervised Representation Learning: Introduction, Advances and Challenges. CoRR Linus Ericsson, Henry Gouk, Chen Change Loy, Timothy M. Hospedales
2021	A*	`conf`	Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition. ICCV Xueting Zhang, Debin Meng, Henry Gouk, Timothy M. Hospedales
2021	J	`jnl`	Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition. CoRR Xueting Zhang, Debin Meng, Henry Gouk, Timothy M. Hospedales
2021	A*	`conf`	Simple and Effective Stochastic Neural Networks. AAAI Tianyuan Yu, Yongxin Yang, Da Li, Timothy M. Hospedales, Tao Xiang
2021	A	`conf`	Tensor Composition Net for Visual Relationship Prediction. BMVC Yuting Qiang, Yongxin Yang, Xueting Zhang, Yanwen Guo, Timothy M. Hospedales
2021	J	`jnl`	Toward Fine-Grained Sketch-Based 3D Shape Retrieval. IEEE Trans. Image Process. Anran Qi, Yulia Gryaditskaya, Jifei Song, Yongxin Yang, Yonggang Qi, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2021	J	`jnl`	Towards Unsupervised Sketch-based Image Retrieval. CoRR Conghui Hu, Yongxin Yang, Yunpeng Li, Timothy M. Hospedales, Yi-Zhe Song
2021	A*	`conf`	Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. CVPR Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2021	J	`jnl`	Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. CoRR Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2021	J	`jnl`	Vision-based system identification and 3D keypoint discovery using dynamics constraints. CoRR Miguel Jaques, Martin Asenov, Michael Burke, Timothy M. Hospedales
2021	A*	`conf`	Weight-covariance alignment for adversarially robust neural networks. ICML Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales
2021	J	`jnl`	Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks. CoRR Linus Ericsson, Henry Gouk, Timothy M. Hospedales
2020	J	`jnl`	A Probabilistic Framework for Discriminative and Neuro-Symbolic Semi-Supervised Learning. CoRR Carl Allen, Ivana Balazevic, Timothy M. Hospedales
2020	J	`jnl`	A Stochastic Neural Network for Attack-Agnostic Adversarial Robustness. CoRR Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales
2020	J	`jnl`	ALBA : Reinforcement Learning for Video Object Segmentation. CoRR Shreyank N. Gowda, Panagiotis Eustratiadis, Timothy M. Hospedales, Laura Sevilla-Lara
2020	A	`conf`	ALBA: Reinforcement Learning for Video Object Segmentation. BMVC Shreyank N. Gowda, Panagiotis Eustratiadis, Timothy M. Hospedales, Laura Sevilla-Lara
2020	A	`conf`	Adversarial Generation of Informative Trajectories for Dynamics System Identification. IROS Marija Jegorova, Joshua Smith, Michael N. Mistry, Timothy M. Hospedales
2020	J	`jnl`	Adversarial Generation of Informative Trajectories for Dynamics System Identification. CoRR Marija Jegorova, Joshua Smith, Michael N. Mistry, Timothy M. Hospedales
2020	—	`conf`	Adversarial Robustness of Open-Set Recognition: Face Recognition and Person Re-identification. ECCV Workshops (1) Xiao Gong, Guosheng Hu, Timothy M. Hospedales, Yongxin Yang
2020	—	`conf`	BézierSketch: A Generative Model for Scalable Vector Sketches. ECCV (26) Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2020	J	`jnl`	BézierSketch: A generative model for scalable vector sketches. CoRR Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2020	J	`jnl`	DADA: Differentiable Automatic Data Augmentation. CoRR Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy M. Hospedales, Neil Martin Robertson, Yongxing Yang
2020	J	`jnl`	DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics. CoRR Stéphane Doncieux, Nicolas Bredèche, Leni K. Le Goff, Benoît Girard, Alexandre Coninx, Olivier Sigaud, Mehdi Khamassi, Natalia Díaz Rodríguez, David Filliat, Timothy M. Hospedales, A. E. Eiben, Richard J. Duro
2020	Misc	`conf`	Deep Clustering for Domain Adaptation. ICASSP Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales
2020	Misc	`conf`	Deep Clusteringwith Concrete K-Means. ICASSP Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales
2020	A*	`conf`	Deep Domain-Adversarial Image Generation for Domain Generalisation. AAAI Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2020	J	`jnl`	Deep Domain-Adversarial Image Generation for Domain Generalisation. CoRR Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2020	J	`jnl`	Deep Learning for Free-Hand Sketch: A Survey. CoRR Peng Xu, Timothy M. Hospedales, Qiyue Yin, Yi-Zhe Song, Tao Xiang, Liang Wang
2020	J	`jnl`	Deep Ranking for Image Zero-Shot Multi-Label Classification. IEEE Trans. Image Process. Zhong Ji, Biying Cui, Huihui Li, Yu-Gang Jiang, Tao Xiang, Timothy M. Hospedales, Yanwei Fu
2020	—	`conf`	Differentiable Automatic Data Augmentation. ECCV (22) Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang
2020	J	`jnl`	Distance-Based Regularisation of Deep Networks for Fine-Tuning. CoRR Henry Gouk, Timothy M. Hospedales, Massimiliano Pontil
2020	Misc	`conf`	Diversity and Sparsity: A New Perspective on Index Tracking. ICASSP Yu Zheng, Timothy M. Hospedales, Yongxin Yang
2020	J	`jnl`	Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights. CoRR Linus Ericsson, Henry Gouk, Timothy M. Hospedales
2020	J	`jnl`	Editorial: Special Issue on Machine Vision with Deep Learning. Int. J. Comput. Vis. Ling Shao, Hubert P. H. Shum, Timothy M. Hospedales
2020	A*	`conf`	Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation. CVPR Jean Kossaifi, Antoine Toisoul, Adrian Bulat, Yannis Panagakis, Timothy M. Hospedales, Maja Pantic
2020	J	`jnl`	Fine-Grained Instance-Level Sketch-Based Video Retrieval. CoRR Peng Xu, Kun Liu, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo, Yi-Zhe Song
2020	J	`jnl`	Flexible Dataset Distillation: Learn Labels Instead of Images. CoRR Ondrej Bohdal, Yongxin Yang, Timothy M. Hospedales
2020	A*	`conf`	Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial Networks ICRA Marija Jegorova, Antti Ilari Karjalainen, Jose Vazquez, Timothy M. Hospedales
2020	J	`jnl`	How Well Do Self-Supervised Models Transfer? CoRR Linus Ericsson, Henry Gouk, Timothy M. Hospedales
2020	A*	`conf`	Incremental Few-Shot Object Detection. CVPR Juan-Manuel Pérez-Rúa, Xiatian Zhu, Timothy M. Hospedales, Tao Xiang
2020	J	`jnl`	Incremental Few-Shot Object Detection. CoRR Juan-Manuel Pérez-Rúa, Xiatian Zhu, Timothy M. Hospedales, Tao Xiang
2020	A*	`conf`	Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach. AAAI Yu Zheng, Bowei Chen, Timothy M. Hospedales, Yongxin Yang
2020	—	`conf`	Index tracking with differentiate asset selection. ICAIF Yu Zheng, Yunpeng Li, Qiuhua Xu, Timothy M. Hospedales, Yongxin Yang
2020	J	`jnl`	Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool. IEEE Trans. Pattern Anal. Mach. Intell. Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun
2020	J	`jnl`	Latent Domain Learning with Dynamic Residual Adapters. CoRR Lucas Deecke, Timothy M. Hospedales, Hakan Bilen
2020	J	`jnl`	Learning the Prediction Distribution for Semi-Supervised Learning with Normalising Flows. CoRR Ivana Balazevic, Carl Allen, Timothy M. Hospedales
2020	—	`conf`	Learning to Generate Novel Domains for Domain Generalization. ECCV (16) Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2020	J	`jnl`	Learning to Generate Novel Domains for Domain Generalization. CoRR Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2020	J	`jnl`	Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding. CoRR Jiechao Guan, Zhiwu Lu, Tao Xiang, Timothy M. Hospedales
2020	J	`jnl`	Meta-Learning in Neural Networks: A Survey. CoRR Timothy M. Hospedales, Antreas Antoniou, Paul Micaelli, Amos J. Storkey
2020	J	`jnl`	NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces. CoRR Miguel Jaques, Michael Burke, Timothy M. Hospedales
2020	J	`jnl`	On Learning Semantic Representations for Million-Scale Free-Hand Sketches. CoRR Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang
2020	A*	`conf`	Online Meta-Critic Learning for Off-Policy Actor-Critic Methods. NeurIPS Wei Zhou, Yiying Li, Yongxin Yang, Huaimin Wang, Timothy M. Hospedales
2020	J	`jnl`	Online Meta-Critic Learning for Off-Policy Actor-Critic Methods. CoRR Wei Zhou, Yiying Li, Yongxin Yang, Huaimin Wang, Timothy M. Hospedales
2020	J	`jnl`	Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation. CoRR Da Li, Timothy M. Hospedales
2020	—	`conf`	Online Meta-learning for Multi-source and Semi-supervised Domain Adaptation. ECCV (16) Da Li, Timothy M. Hospedales
2020	A*	`conf`	Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video. ICLR Miguel Jaques, Michael Burke, Timothy M. Hospedales
2020	J	`jnl`	Pixelor: a competitive sketching AI agent. so you think you can sketch? ACM Trans. Graph. Ayan Kumar Bhunia, Ayan Das, Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yulia Gryaditskaya, Yi-Zhe Song
2020	B	`conf`	RelationNet2: Deep Comparison Network for Few-Shot Learning. IJCNN Xueting Zhang, Yuting Qiang, Flood Sung, Yongxin Yang, Timothy M. Hospedales
2020	J	`jnl`	Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation. CoRR Chenyang Zhao, Timothy M. Hospedales
2020	—	`conf`	Sequential Learning for Domain Generalization. ECCV Workshops (1) Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
2020	J	`jnl`	Sequential Learning for Domain Generalization. CoRR Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
2020	J	`jnl`	SimpleMKKM: Simple Multiple Kernel K-means. CoRR Xinwang Liu, En Zhu, Jiyuan Liu, Timothy M. Hospedales, Yang Wang, Meng Wang
2020	J	`jnl`	Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval. CoRR Ayan Kumar Bhunia, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2020	A*	`conf`	Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval. CVPR Ayan Kumar Bhunia, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2020	J	`jnl`	Sketch-a-Segmenter: Sketch-Based Photo Segmenter Generation. IEEE Trans. Image Process. Conghui Hu, Da Li, Yongxin Yang, Timothy M. Hospedales, Yi-Zhe Song
2020	A*	`conf`	Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval. CVPR Kaiyue Pang, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2020	J	`jnl`	Tensor Composition Net for Visual Relationship Prediction. CoRR Yuting Qiang, Yongxin Yang, Xueting Zhang, Yanwen Guo, Timothy M. Hospedales
2020	J	`jnl`	Unlimited Resolution Image Generation with R2D2-GANs. CoRR Marija Jegorova, Antti Ilari Karjalainen, Jose Vazquez, Timothy M. Hospedales
2020	—	`conf`	Unsupervised Batch Normalization. CVPR Workshops Mustafa Taha Koçyigit, Laura Sevilla-Lara, Timothy M. Hospedales, Hakan Bilen
2019	A*	`conf`	Analogies Explained: Towards Understanding Word Embeddings. ICML Carl Allen, Timothy M. Hospedales
2019	J	`jnl`	Analogies Explained: Towards Understanding Word Embeddings. CoRR Carl Allen, Timothy M. Hospedales
2019	—	`conf`	Behavioral Repertoire via Generative Adversarial Policy Networks. ICDL-EPIROB Marija Jegorova, Stéphane Doncieux, Timothy M. Hospedales
2019	J	`jnl`	Deep clustering with concrete k-means. CoRR Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales
2019	A*	`conf`	Disjoint Label Space Transfer Learning with Common Factorised Space. AAAI Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales
2019	A*	`conf`	Episodic Training for Domain Generalization. ICCV Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales
2019	J	`jnl`	Episodic Training for Domain Generalization. CoRR Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales
2019	A*	`conf`	Feature-Critic Networks for Heterogeneous Domain Generalization. ICML Yiying Li, Yongxin Yang, Wei Zhou, Timothy M. Hospedales
2019	J	`jnl`	Feature-Critic Networks for Heterogeneous Domain Generalization. CoRR Yiying Li, Yongxin Yang, Wei Zhou, Timothy M. Hospedales
2019	A	`conf`	Frustratingly Easy Person Re-Identification: Generalizing Person Re-ID in Practice. BMVC Jieru Jia, Qiuqi Ruan, Timothy M. Hospedales
2019	J	`jnl`	Frustratingly Easy Person Re-Identification: Generalizing Person Re-ID in Practice. CoRR Jieru Jia, Qiuqi Ruan, Timothy M. Hospedales
2019	A*	`conf`	Generalising Fine-Grained Sketch-Based Image Retrieval. CVPR Kaiyue Pang, Ke Li, Yongxin Yang, Honggang Zhang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2019	A*	`conf`	Generalizable Person Re-Identification by Domain-Invariant Mapping Network. CVPR Jifei Song, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2019	A*	`conf`	Goal-Driven Sequential Data Abstraction. ICCV Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2019	J	`jnl`	Goal-Driven Sequential Data Abstraction. CoRR Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song
2019	—	`conf`	Hypernetwork Knowledge Graph Embeddings. ICANN (Workshop) Ivana Balazevic, Carl Allen, Timothy M. Hospedales
2019	J	`jnl`	Investigating Generalisation in Continuous Deep Reinforcement Learning. CoRR Chenyang Zhao, Olivier Sigaud, Freek Stulp, Timothy M. Hospedales
2019	A*	`conf`	Learning-driven Coarse-to-Fine Articulated Robot Tracking. ICRA Christian Rauch, Vladimir Ivan, Timothy M. Hospedales, Jamie Shotton, Maurice F. Fallon
2019	J	`jnl`	Measuring the Transferability of Adversarial Examples. CoRR Deyan Petrov, Timothy M. Hospedales
2019	—	`conf`	Modelling the Single Word to Multi-Word Transition Using Matrix Completion. ICDL-EPIROB Gabriella Pizzuto, Timothy M. Hospedales, Olga Capirci, Angelo Cangelosi
2019	A*	`conf`	Multi-relational Poincaré Graph Embeddings. NeurIPS Ivana Balazevic, Carl Allen, Timothy M. Hospedales
2019	J	`jnl`	Multi-relational Poincaré Graph Embeddings. CoRR Ivana Balazevic, Carl Allen, Timothy M. Hospedales
2019	J	`jnl`	On Understanding Knowledge Graph Representation. CoRR Carl Allen, Ivana Balazevic, Timothy M. Hospedales
2019	J	`jnl`	Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video. CoRR Miguel Jaques, Michael Burke, Timothy M. Hospedales
2019	A*	`conf`	Robust Person Re-Identification by Modelling Feature Uncertainty. ICCV Tianyuan Yu, Da Li, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2019	J	`jnl`	Toward Deep Universal Sketch Perceptual Grouper. IEEE Trans. Image Process. Ke Li, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang
2019	—	`conf`	TuckER: Tensor Factorization for Knowledge Graph Completion. EMNLP/IJCNLP (1) Ivana Balazevic, Carl Allen, Timothy M. Hospedales
2019	J	`jnl`	TuckER: Tensor Factorization for Knowledge Graph Completion. CoRR Ivana Balazevic, Carl Allen, Timothy M. Hospedales
2019	A*	`conf`	What the Vec? Towards Probabilistically Grounded Embeddings. NeurIPS Carl Allen, Ivana Balazevic, Timothy M. Hospedales
2019	J	`jnl`	Zero-Shot Crowd Behavior Recognition. CoRR Xun Xu, Shaogang Gong, Timothy M. Hospedales
2018	J	`jnl`	Deep Comparison: Relation Columns for Few-Shot Learning. CoRR Xueting Zhang, Flood Sung, Yuting Qiang, Yongxin Yang, Timothy M. Hospedales
2018	—	`conf`	Deep Factorised Inverse-Sketching. ECCV (15) Kaiyue Pang, Da Li, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2018	J	`jnl`	Deep Factorised Inverse-Sketching. CoRR Kaiyue Pang, Da Li, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2018	—	`conf`	Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States. ECCV (12) Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua, Zhihong Zhang, Fumin Shen, Ling Shao, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang
2018	A*	`conf`	Deep Mutual Learning. CVPR Ying Zhang, Tao Xiang, Timothy M. Hospedales, Huchuan Lu
2018	J	`jnl`	Deep Neural Decision Trees. CoRR Yongxin Yang, Irene Garcia Morillo, Timothy M. Hospedales
2018	Misc	`conf`	Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions. ICASSP Guosheng Hu, Yuxin Hu, Kai Yang, Zehao Yu, Flood Sung, Zhihong Zhang, Fei Xie, Jianguo Liu, Neil Martin Robertson, Timothy M. Hospedales, Qiangwei Miemie
2018	J	`jnl`	Disjoint Label Space Transfer Learning with Common Factorised Space. CoRR Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales
2018	B	`conf`	Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice. ICPR Kunkun Pang, Mingzhi Dong, Yang Wu, Timothy M. Hospedales
2018	J	`jnl`	Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice. CoRR Kunkun Pang, Mingzhi Dong, Yang Wu, Timothy M. Hospedales
2018	J	`jnl`	Frankenstein: Learning Deep Face Representations Using Small Data. IEEE Trans. Image Process. Guosheng Hu, Xiaojiang Peng, Yongxin Yang, Timothy M. Hospedales, Jakob Verbeek
2018	J	`jnl`	Generative Adversarial Policy Networks for Behavioural Repertoire. CoRR Marija Jegorova, Stéphane Doncieux, Timothy M. Hospedales
2018	J	`jnl`	Hypernetwork Knowledge Graph Embeddings. CoRR Ivana Balazevic, Carl Allen, Timothy M. Hospedales
2018	J	`jnl`	IEEE Access Special Section Editorial: Recent Advantages of Computer Vision. IEEE Access Zhanyu Ma, Haibin Ling, Yi-Zhe Song, Timothy M. Hospedales, Wei Jia, Yuxin Peng, Aili Han
2018	A*	`conf`	IVQA: Inverse Visual Question Answering. CVPR Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun
2018	J	`jnl`	Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool. CoRR Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun
2018	A*	`conf`	Learning Deep Sketch Abstraction. CVPR Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2018	J	`jnl`	Learning Deep Sketch Abstraction. CoRR Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2018	A*	`conf`	Learning Unsupervised Word Translations Without Adversaries. EMNLP Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales
2018	A*	`conf`	Learning to Compare: Relation Network for Few-Shot Learning. CVPR Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales
2018	A*	`conf`	Learning to Generalize: Meta-Learning for Domain Generalization. AAAI Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
2018	A*	`conf`	Learning to Sketch With Shortcut Cycle Consistency. CVPR Jifei Song, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2018	J	`jnl`	Learning to Sketch with Shortcut Cycle Consistency. CoRR Jifei Song, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2018	J	`jnl`	Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning. CoRR Kunkun Pang, Mingzhi Dong, Yang Wu, Timothy M. Hospedales
2018	A*	`conf`	Multi-Level Factorisation Net for Person Re-Identification. CVPR Xiaobin Chang, Timothy M. Hospedales, Tao Xiang
2018	J	`jnl`	Multi-Level Factorisation Net for Person Re-Identification. CoRR Xiaobin Chang, Timothy M. Hospedales, Tao Xiang
2018	J	`jnl`	Open-Ended Learning: A Conceptual Framework Based on Representational Redescription. Frontiers Neurorobotics Stéphane Doncieux, David Filliat, Natalia Díaz Rodríguez, Timothy M. Hospedales, Richard J. Duro, Alexandre Coninx, Diederik M. Roijers, Benoît Girard, Nicolas Perrin, Olivier Sigaud
2018	A*	`conf`	Scalable and Effective Deep CCA via Soft Decorrelation. CVPR Xiaobin Chang, Tao Xiang, Timothy M. Hospedales
2018	A*	`conf`	Sketch-a-Classifier: Sketch-Based Photo Classifier Generation. CVPR Conghui Hu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2018	J	`jnl`	Sketch-a-Classifier: Sketch-based Photo Classifier Generation. CoRR Conghui Hu, Da Li, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2018	A*	`conf`	SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. CVPR Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo
2018	J	`jnl`	SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. CoRR Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo
2018	J	`jnl`	Universal Perceptual Grouping. CoRR Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang
2018	—	`conf`	Universal Sketch Perceptual Grouping. ECCV (8) Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang
2018	A*	`conf`	Visual Articulated Tracking in the Presence of Occlusions. ICRA Christian Rauch, Timothy M. Hospedales, Jamie Shotton, Maurice F. Fallon
2018	J	`jnl`	What the Vec? Towards Probabilistically Grounded Embeddings. CoRR Carl Allen, Ivana Balazevic, Timothy M. Hospedales
2017	—	`conf`	A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D. CVPR Workshops Ryan Layne, Sion L. Hannuna, Massimo Camplani, Jake Hall, Timothy M. Hospedales, Tao Xiang, Majid Mirmehdi, Dima Damen
2017	J	`jnl`	Actor-Critic Sequence Training for Image Captioning. CoRR Li Zhang, Flood Sung, Feng Liu, Tao Xiang, Shaogang Gong, Yongxin Yang, Timothy M. Hospedales
2017	A*	`conf`	Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks. ICCV Guosheng Hu, Yang Hua, Yang Yuan, Zhihong Zhang, Zheng Lu, Sankha S. Mukherjee, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang
2017	J	`jnl`	Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images. CoRR Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang
2017	J	`jnl`	Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation. CoRR Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang
2017	A	`conf`	Cross-domain Generative Learning for Fine-Grained Sketch-Based Image Retrieval. BMVC Kaiyue Pang, Yi-Zhe Song, Tony Xiang, Timothy M. Hospedales
2017	J	`jnl`	Deep Matching Autoencoders. CoRR Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales
2017	J	`jnl`	Deep Multi-View Learning with Stochastic Decorrelation Loss. CoRR Xiaobin Chang, Tao Xiang, Timothy M. Hospedales
2017	—	`conf`	Deep Multi-task Representation Learning: A Tensor Factorisation Approach. ICLR (Poster) Yongxin Yang, Timothy M. Hospedales
2017	J	`jnl`	Deep Mutual Learning. CoRR Ying Zhang, Tao Xiang, Timothy M. Hospedales, Huchuan Lu
2017	A*	`conf`	Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval. ICCV Jifei Song, Qian Yu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2017	A*	`conf`	Deeper, Broader and Artier Domain Generalization. ICCV Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
2017	J	`jnl`	Deeper, Broader and Artier Domain Generalization. CoRR Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
2017	J	`jnl`	Discovery of Shared Semantic Spaces for Multiscene Video Query and Summarization. IEEE Trans. Circuits Syst. Video Technol. Xun Xu, Timothy M. Hospedales, Shaogang Gong
2017	A	`conf`	Fine-Grained Image Retrieval: the Text/Sketch Input Dilemma. BMVC Jifei Song, Yi-Zhe Song, Tony Xiang, Timothy M. Hospedales
2017	J	`jnl`	Free-Hand Sketch Synthesis with Deformable Stroke Models. Int. J. Comput. Vis. Yi Li, Yi-Zhe Song, Timothy M. Hospedales, Shaogang Gong
2017	A*	`conf`	Gated Neural Networks for Option Pricing: Rationality by Design. AAAI Yongxin Yang, Yu Zheng, Timothy M. Hospedales
2017	J	`jnl`	Learning to Compare: Relation Network for Few-Shot Learning. CoRR Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales
2017	J	`jnl`	Learning to Generalize: Meta-Learning for Domain Generalization. CoRR Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales
2017	J	`jnl`	Learning to Learn: Meta-Critic Networks for Sample Efficient Learning. CoRR Flood Sung, Li Zhang, Tao Xiang, Timothy M. Hospedales, Yongxin Yang
2017	A	`conf`	Now You See Me: Deep Face Hallucination for Unviewed Sketches. BMVC Conghui Hu, Da Li, Yi-Zhe Song, Timothy M. Hospedales
2017	A*	`conf`	Semantic Regularisation for Recurrent Image Annotation. CVPR Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun
2017	J	`jnl`	Sketch-a-Net: A Deep Neural Network that Beats Humans. Int. J. Comput. Vis. Qian Yu, Yongxin Yang, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2017	J	`jnl`	Synergistic Instance-Level Subspace Alignment for Fine-Grained Sketch-Based Image Retrieval. IEEE Trans. Image Process. Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M. Hospedales, Tao Xiang, Honggang Zhang
2017	A*	`conf`	Tensor Based Knowledge Transfer Across Skill Categories for Robot Control. IJCAI Chenyang Zhao, Timothy M. Hospedales, Freek Stulp, Olivier Sigaud
2017	J	`jnl`	The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching. CoRR Qian Yu, Xiaobin Chang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2017	—	`conf`	Trace Norm Regularised Deep Multi-Task Learning. ICLR (Workshop) Yongxin Yang, Timothy M. Hospedales
2017	J	`jnl`	Transductive Zero-Shot Action Recognition by Word-Vector Embedding. Int. J. Comput. Vis. Xun Xu, Timothy M. Hospedales, Shaogang Gong
2017	B	`conf`	Transferring CNNS to multi-instance multi-label classification on small datasets. ICIP Mingzhi Dong, Kunkun Pang, Yang Wu, Jing-Hao Xue, Timothy M. Hospedales, Tsukasa Ogasawara
2017	J	`jnl`	Transferring a Semantic Representation for Person Re-Identification and Search. CoRR Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang
2017	—	`ch.`	Unifying Multi-domain Multitask Learning: Tensor and Neural Network Perspectives. Domain Adaptation in Computer Vision Applications Yongxin Yang, Timothy M. Hospedales
2017	J	`jnl`	Weakly Supervised Image Annotation and Segmentation with Objects and Attributes. CoRR Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2017	J	`jnl`	Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes. IEEE Trans. Pattern Anal. Mach. Intell. Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2017	—	`ch.`	Zero-Shot Crowd Behavior Recognition. Group and Crowd Behavior for Computer Vision Xun Xu, Shaogang Gong, Timothy M. Hospedales
2017	J	`jnl`	iVQA: Inverse Visual Question Answering. CoRR Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun
2016	J	`jnl`	A survey on heterogeneous face recognition: Sketch, infra-red, 3D and low-resolution. Image Vis. Comput. Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song, Xueming Li, Chen Change Loy, Xiaogang Wang
2016	A	`conf`	Deep Multi-task Attribute-driven Ranking for Fine-grained Sketch-based Image Retrieval. BMVC Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Xiang Ruan
2016	J	`jnl`	Deep Multi-task Representation Learning: A Tensor Factorisation Approach. CoRR Yongxin Yang, Timothy M. Hospedales
2016	A*	`conf`	Emerging Topics in Learning from Noisy and Missing Data. ACM Multimedia Xavier Alameda-Pineda, Timothy M. Hospedales, Elisa Ricci, Nicu Sebe, Xiaogang Wang
2016	A	`conf`	Fine-grained sketch-based image retrieval: The role of part-aware attributes. WACV Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M. Hospedales, Honggang Zhang, Yichuan Hu
2016	A*	`conf`	ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching. CVPR Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song, Xueming Li
2016	J	`jnl`	Frankenstein: Learning Deep Face Representations using Small Data. CoRR Guosheng Hu, Xiaojiang Peng, Yongxin Yang, Timothy M. Hospedales, Jakob Verbeek
2016	J	`jnl`	Gated Neural Networks for Option Pricing: Rationality by Design. CoRR Yongxin Yang, Yu Zheng, Timothy M. Hospedales
2016	A*	`conf`	Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition. EMNLP Tanmoy Mukherjee, Timothy M. Hospedales
2016	A	`conf`	L1 Graph Based Sparse Model for Label De-noising. BMVC Xiaobin Chang, Tao Xiang, Timothy M. Hospedales
2016	—	`conf`	Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation. ECCV (2) Xun Xu, Timothy M. Hospedales, Shaogang Gong
2016	J	`jnl`	Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation. CoRR Xun Xu, Timothy M. Hospedales, Shaogang Gong
2016	A*	`conf`	Multivariate Regression on the Grassmannian for Predicting Novel Domains. CVPR Yongxin Yang, Timothy M. Hospedales
2016	J	`jnl`	Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels. IEEE Trans. Pattern Anal. Mach. Intell. Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Jiechao Xiong, Shaogang Gong, Yizhou Wang, Yuan Yao
2016	J	`jnl`	Semantic Regularisation for Recurrent Image Annotation. CoRR Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun
2016	A*	`conf`	Sketch Me That Shoe. CVPR Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen Change Loy
2016	—	`conf`	Towards Bottom-Up Analysis of Social Food. Digital Health Jaclyn Rich, Hamed Haddadi, Timothy M. Hospedales
2016	J	`jnl`	Towards Bottom-Up Analysis of Social Food. CoRR Jaclyn Rich, Hamed Haddadi, Timothy M. Hospedales
2016	J	`jnl`	Trace Norm Regularised Deep Multi-Task Learning. CoRR Yongxin Yang, Timothy M. Hospedales
2016	J	`jnl`	Unifying Multi-Domain Multi-Task Learning: Tensor and Neural Network Perspectives. CoRR Yongxin Yang, Timothy M. Hospedales
2016	J	`jnl`	When and where to transfer for Bayesian network parameter learning. Expert Syst. Appl. Yun Zhou, Timothy M. Hospedales, Norman E. Fenton
2015	—	`conf`	A Unified Perspective on Multi-Domain and Multi-Task Learning. ICLR (Poster) Yongxin Yang, Timothy M. Hospedales
2015	J	`jnl`	Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images. IEEE Trans. Pattern Anal. Mach. Intell. Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang
2015	J	`jnl`	Deep Neural Networks for Sketch Recognition. CoRR Yongxin Yang, Timothy M. Hospedales
2015	J	`jnl`	Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarization. CoRR Xun Xu, Timothy M. Hospedales, Shaogang Gong
2015	J	`jnl`	Free-hand Sketch Synthesis with Deformable Stroke Models. CoRR Yi Li, Yi-Zhe Song, Timothy M. Hospedales, Shaogang Gong
2015	J	`jnl`	Free-hand sketch recognition by multi-kernel feature learning. Comput. Vis. Image Underst. Yi Li, Timothy M. Hospedales, Yi-Zhe Song, Shaogang Gong
2015	A*	`conf`	Making better use of edges via perceptual grouping. CVPR Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy M. Hospedales, Yi Li, Jun Guo
2015	A	`conf`	Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints. UAI Yun Zhou, Norman E. Fenton, Timothy M. Hospedales, Martin Neil
2015	J	`jnl`	Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels. CoRR Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Jiechao Xiong, Shaogang Gong, Yizhou Wang, Yuan Yao
2015	J	`jnl`	Semantic Embedding Space for Zero-Shot Action Recognition. CoRR Xun Xu, Timothy M. Hospedales, Shaogang Gong
2015	B	`conf`	Semantic embedding space for zero-shot action recognition. ICIP Xun Xu, Timothy M. Hospedales, Shaogang Gong
2015	A	`conf`	Sketch-a-Net that Beats Humans. BMVC Qian Yu, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales
2015	J	`jnl`	Transductive Multi-View Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong
2015	J	`jnl`	Transductive Multi-class and Multi-label Zero-shot Learning. CoRR Yanwei Fu, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Shaogang Gong
2015	J	`jnl`	Transductive Multi-label Zero-shot Learning. CoRR Yanwei Fu, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Shaogang Gong
2015	J	`jnl`	Transductive Multi-view Zero-Shot Learning. CoRR Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong
2015	A*	`conf`	Transferring a semantic representation for person re-identification and search. CVPR Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang
2015	J	`jnl`	Weakly Supervised Learning of Objects, Attributes and their Associations. CoRR Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2015	—	`conf`	When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition. ICCV Workshops Guosheng Hu, Yongxin Yang, Dong Yi, Josef Kittler, William J. Christmas, Stan Z. Li, Timothy M. Hospedales
2015	J	`jnl`	When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition. CoRR Guosheng Hu, Yongxin Yang, Dong Yi, Josef Kittler, William J. Christmas, Stan Z. Li, Timothy M. Hospedales
2015	J	`jnl`	Zero-Shot Action Recognition by Word-Vector Embedding. CoRR Xun Xu, Timothy M. Hospedales, Shaogang Gong
2015	J	`jnl`	Zero-Shot Domain Adaptation via Kernel Regression on the Grassmannian. CoRR Yongxin Yang, Timothy M. Hospedales
2014	J	`jnl`	A Survey on Heterogeneous Face Recognition: Sketch, Infra-red, 3D and Low-resolution. CoRR Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song, Xueming Li
2014	—	`ch.`	Attributes-Based Re-identification. Person Re-Identification Ryan Layne, Timothy M. Hospedales, Shaogang Gong
2014	—	`conf`	Cross-Modal Face Matching: Beyond Viewed Sketches. ACCV (2) Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song, Xueming Li
2014	—	`conf`	Interestingness Prediction by Robust Learning to Rank. ECCV (2) Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong, Yuan Yao
2014	A	`conf`	Intra-category sketch-based image retrieval by matching deformable part models. BMVC Yi Li, Timothy M. Hospedales, Yi-Zhe Song, Shaogang Gong
2014	—	`conf`	Investigating Open-World Person Re-identification Using a Drone. ECCV Workshops (3) Ryan Layne, Timothy M. Hospedales, Shaogang Gong
2014	J	`jnl`	Learning Multimodal Latent Attributes. IEEE Trans. Pattern Anal. Mach. Intell. Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong
2014	A	`conf`	Open-world Person Re-Identification by Multi-Label Assignment Inference. BMVC Brais Cancela, Timothy M. Hospedales, Shaogang Gong
2014	A	`conf`	Re-id: Hunting Attributes in the Wild. BMVC Ryan Layne, Timothy M. Hospedales, Shaogang Gong
2014	—	`ch.`	The Re-identification Challenge. Person Re-Identification Shaogang Gong, Marco Cristani, Chen Change Loy, Timothy M. Hospedales
2014	A	`conf`	Transductive Multi-label Zero-shot Learning. BMVC Yanwei Fu, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Shaogang Gong
2014	—	`conf`	Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation. ECCV (2) Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Zhen-Yong Fu, Shaogang Gong
2014	—	`conf`	Weakly Supervised Learning of Objects, Attributes and Their Associations. ECCV (2) Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales, Tao Xiang
2013	A*	`conf`	Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation. ICCV Zhiyuan Shi, Timothy M. Hospedales, Tao Xiang
2013	—	`conf`	Cross-domain traffic scene understanding by motion model transfer. ARTEMIS@ACM Multimedia Xun Xu, Shaogang Gong, Timothy M. Hospedales
2013	—	`conf`	Domain transfer for person re-identification. ARTEMIS@ACM Multimedia Ryan Layne, Timothy M. Hospedales, Shaogang Gong
2013	J	`jnl`	Finding Rare Classes: Active Learning with Generative and Discriminative Models. IEEE Trans. Knowl. Data Eng. Timothy M. Hospedales, Shaogang Gong, Tao Xiang
2012	—	`conf`	A Unifying Theory of Active Discovery and Learning. ECCV (5) Timothy M. Hospedales, Shaogang Gong, Tao Xiang
2012	—	`conf`	Attribute Learning for Understanding Unstructured Social Activity. ECCV (4) Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong
2012	A	`conf`	Person Re-identification by Attributes. BMVC Ryan Layne, Timothy M. Hospedales, Shaogang Gong
2012	A*	`conf`	Stream-based joint exploration-exploitation active learning. CVPR Chen Change Loy, Timothy M. Hospedales, Tao Xiang, Shaogang Gong
2012	—	`conf`	Towards Person Identification and Re-identification with Attributes. ECCV Workshops (1) Ryan Layne, Timothy M. Hospedales, Shaogang Gong
2012	J	`jnl`	Video Behaviour Mining Using a Dynamic Topic Model. Int. J. Comput. Vis. Timothy M. Hospedales, Shaogang Gong, Tao Xiang
2011	—	`conf`	Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning. PAKDD (2) Timothy M. Hospedales, Shaogang Gong, Tao Xiang
2011	J	`jnl`	Identifying Rare and Subtle Behaviors: A Weakly Supervised Joint Topic Model. IEEE Trans. Pattern Anal. Mach. Intell. Timothy M. Hospedales, Jian Li, Shaogang Gong, Tao Xiang
2011	A*	`conf`	Learning Tags from Unsegmented Videos of Multiple Human Actions. ICDM Timothy M. Hospedales, Shaogang Gong, Tao Xiang
2010	—	`conf`	Learning Rare Behaviours. ACCV (2) Jian Li, Timothy M. Hospedales, Shaogang Gong, Tao Xiang
2009	A*	`conf`	A Markov Clustering Topic Model for mining behaviour in video. ICCV Timothy M. Hospedales, Shaogang Gong, Tao Xiang
2009	A	`conf`	A Unified Bayesian Framework for Adaptive Visual Tracking. BMVC Emanuel Zelniker, Timothy M. Hospedales, Shaogang Gong, Tao Xiang
2008	A	`conf`	An Adaptive Machine Director. BMVC Timothy M. Hospedales, Oliver Williams
2008	—	`—`	Bayesian multisensory perception. Timothy M. Hospedales
2008	J	`jnl`	Implications of Noise and Neural Heterogeneity for Vestibulo-Ocular Reflex Fidelity. Neural Comput. Timothy M. Hospedales, Mark C. W. van Rossum, Bruce P. Graham, Mayank B. Dutia
2008	J	`jnl`	Structure Inference for Bayesian Multisensory Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. Timothy M. Hospedales, Sethu Vijayakumar
2007	A*	`conf`	Structure Inference for Bayesian Multisensory Perception and Tracking. IJCAI Timothy M. Hospedales, Joel J. Cartwright, Sethu Vijayakumar