Timothy Hospedales

FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs AAAI 2026 Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning UAI 2026 Test-Time Alignment of Text-to-Image Diffusion Models via Null-Text Embedding Optimisation CVPR 2026 A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning AAAI 2025 ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning ICLR 2025 FedHB: Hierarchical Bayesian Federated Learning JMLR 2025 FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization ICCV 2025 HyperIV: Real-time Implied Volatility Smoothing ICML 2025 LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning ICLR 2025 MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection WACV 2025 VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning ICLR 2025 A Bayesian Approach to Data Point Selection NeurIPS 2024 A Hierarchical Bayesian Model for Few-Shot Meta Learning ICLR 2024 DemoFusion: Democratising High-Resolution Image Generation With No $$$ CVPR 2024 FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis ICLR 2024 Feed-Forward Latent Domain Adaptation WACV 2024 Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations ICML 2024 Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation WACV 2024 MobileQuant: Mobile-friendly Quantization for On-device Language Models EMNLP 2024 Neural Fine-Tuning Search for Few-Shot Learning ICLR 2024 Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity MIDL 2024 Recurrent Early Exits for Federated Learning with Heterogeneous Clients ICML 2024 Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models ICML 2024 SketchINR: A First Look into Sketches as Implicit Neural Representations CVPR 2024 Amortised Invariance Learning for Contrastive Self-Supervision ICLR 2023 An Erudite Fine-Grained Visual Classification Model CVPR 2023 BayesTune: Bayesian Sparse Deep Model Fine-tuning NeurIPS 2023 Better Practices for Domain Adaptation AutoML 2023 ChiroDiff: Modelling chirographic data with Diffusion Models ICLR 2023 Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach ICLR 2023 FedL2P: Federated Learning to Personalize NeurIPS 2023 Learning where and when to reason in neuro-symbolic inference ICLR 2023 MEDFAIR: Benchmarking Fairness for Medical Imaging ICLR 2023 Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn CVPR 2023 On-the-Fly Category Discovery CVPR 2023 Quality Diversity for Visual Pre-Training ICCV 2023 Task-aware Adaptive Learning for Cross-domain Few-shot Learning ICCV 2023 Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style CVPR 2023 Fisher SAM: Information Geometry and Sharpness Aware Minimisation ICML 2022 Loss Function Learning for Domain Generalization by Implicit Gradient ICML 2022 Online Hyperparameter Meta-Learning with Hypergradient Distillation ICLR 2022 SketchODE: Learning neural sketch representation in continuous time ICLR 2022 Vision-based System Identification and 3D Keypoint Discovery using Dynamics Constraints L4DC 2022 Visual Representation Learning over Latent Domains ICLR 2022 Distance-Based Regularisation of Deep Networks for Fine-Tuning ICLR 2021 EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization NeurIPS 2021 Interpreting Knowledge Graph Relation Representation from Word Embeddings ICLR 2021 Neural-Symbolic Integration: A Compositional Perspective AAAI 2021 Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation ACML 2021 Simple and Effective Stochastic Neural Networks AAAI 2021 Weight-covariance alignment for adversarially robust neural networks ICML 2021 BézierSketch: A generative model for scalable vector sketches ECCV 2020 DADA: Differentiable Automatic Data Augmentation ECCV 2020 Deep Domain-Adversarial Image Generation for Domain Generalisation AAAI 2020 Learning to Generate Novel Domains for Domain Generalization ECCV 2020 Online Meta-Critic Learning for Off-Policy Actor-Critic Methods NeurIPS 2020 Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation ECCV 2020 Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video ICLR 2020 Analogies Explained: Towards Understanding Word Embeddings ICML 2019 Feature-Critic Networks for Heterogeneous Domain Generalization ICML 2019 Multi-relational Poincaré Graph Embeddings NeurIPS 2019 TuckER: Tensor Factorization for Knowledge Graph Completion EMNLP 2019 What the Vec? Towards Probabilistically Grounded Embeddings NeurIPS 2019 Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States ECCV 2018 Learning Unsupervised Word Translations Without Adversaries EMNLP 2018 Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition EMNLP 2016 Making Better Use of Edges via Perceptual Grouping CVPR 2015