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Timothy Hospedales

66 papers · 2015–2026 · 15 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (15) πŸƒ Academic Marathon (10) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ† Grand Slam 🀝 Dynamic Duo (15) πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (180) ❓ The Questioner ⚑ Prolific Year (7) πŸš€ Conference Pioneer πŸ’Ž Century Club (65) πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter

Conferences

ICLR (17) ICML (9) CVPR (7) NIPS (7) AAAI (5) ECCV (5) EMNLP (4) ICCV (3) WACV (3) ACML (1) AUTOML (1) IJCNLP (1) JMLR (1) L4DC (1) MIDL (1)

Top co-authors

Yongxin Yang (15) Da Li (14) Minyoung Kim (10) Yi-Zhe Song (10) Tao Xiang (8) Ondrej Bohdal (7) Carl Allen (6) Royson Lee (6) Shell Xu Hu (5) Ivana Balazevic (5)

Keywords

domain adaptation (4) few-shot learning (3) hyperparameter optimization (3) domain generalization (3) link prediction (3) federated learning (3) transfer learning (3) bayesian inference (3) edge computing (2) zero-shot learning (2) parameter-efficient fine-tuning (2) model compression (2) tucker decomposition (2) bi-level optimization (2) reinforcement learning (2) image generation (2) unsupervised learning (2) representation learning (2) tensor factorization (2) stochastic neural network (2)

Papers

FedPΒ²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs AAAI 2026
HyperIV: Real-time Implied Volatility Smoothing ICML 2025
VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning ICLR 2025
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization ICCV 2025
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection WACV 2025
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
LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning ICLR 2025
FedHB: Hierarchical Bayesian Federated Learning JMLR 2025
A Bayesian Approach to Data Point Selection NIPS 2024
Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations ICML 2024
SketchINR: A First Look into Sketches as Implicit Neural Representations CVPR 2024
Neural Fine-Tuning Search for Few-Shot Learning ICLR 2024
Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation WACV 2024
A Hierarchical Bayesian Model for Few-Shot Meta Learning ICLR 2024
DemoFusion: Democratising High-Resolution Image Generation With No $$$ CVPR 2024
Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models ICML 2024
Recurrent Early Exits for Federated Learning with Heterogeneous Clients ICML 2024
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity MIDL 2024
MobileQuant: Mobile-friendly Quantization for On-device Language Models EMNLP 2024
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis ICLR 2024
Feed-Forward Latent Domain Adaptation WACV 2024
Learning where and when to reason in neuro-symbolic inference ICLR 2023
Better Practices for Domain Adaptation AUTOML 2023
FedL2P: Federated Learning to Personalize NIPS 2023
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style CVPR 2023
An Erudite Fine-Grained Visual Classification Model CVPR 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
BayesTune: Bayesian Sparse Deep Model Fine-tuning NIPS 2023
Amortised Invariance Learning for Contrastive Self-Supervision ICLR 2023
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach ICLR 2023
ChiroDiff: Modelling chirographic data with Diffusion Models ICLR 2023
MEDFAIR: Benchmarking Fairness for Medical Imaging ICLR 2023
SketchODE: Learning neural sketch representation in continuous time ICLR 2022
Fisher SAM: Information Geometry and Sharpness Aware Minimisation ICML 2022
Loss Function Learning for Domain Generalization by Implicit Gradient ICML 2022
Vision-based System Identification and 3D Keypoint Discovery using Dynamics Constraints L4DC 2022
Online Hyperparameter Meta-Learning with Hypergradient Distillation ICLR 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 NIPS 2021
Simple and Effective Stochastic Neural Networks AAAI 2021
Neural-Symbolic Integration: A Compositional Perspective AAAI 2021
Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation ACML 2021
Interpreting Knowledge Graph Relation Representation from Word Embeddings ICLR 2021
Weight-covariance alignment for adversarially robust neural networks ICML 2021
BΓ©zierSketch: A generative model for scalable vector sketches ECCV 2020
DADA: Differentiable Automatic Data Augmentation ECCV 2020
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video ICLR 2020
Learning to Generate Novel Domains for Domain Generalization ECCV 2020
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation ECCV 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods NIPS 2020
Deep Domain-Adversarial Image Generation for Domain Generalisation AAAI 2020
What the Vec? Towards Probabilistically Grounded Embeddings NIPS 2019
Feature-Critic Networks for Heterogeneous Domain Generalization ICML 2019
Multi-relational PoincarΓ© Graph Embeddings NIPS 2019
TuckER: Tensor Factorization for Knowledge Graph Completion EMNLP 2019
TuckER: Tensor Factorization for Knowledge Graph Completion IJCNLP 2019
Analogies Explained: Towards Understanding Word Embeddings ICML 2019
Learning Unsupervised Word Translations Without Adversaries EMNLP 2018
Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States ECCV 2018
Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition EMNLP 2016
Making Better Use of Edges via Perceptual Grouping CVPR 2015