Timothy Hospedales

7

Papers

14

Total Citations

Papers (7)

SketchINR: A First Look into Sketches as Implicit Neural Representations

A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning

Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations

Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models

Recurrent Early Exits for Federated Learning with Heterogeneous Clients

DemoFusion: Democratising High-Resolution Image Generation With No $$$

FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization