Antoniou, Antreas

7 publications

NeurIPS 2024 Einspace: Searching for Neural Architectures from Fundamental Operations Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley

ICMLW 2024 Liouna: Biologically Plausible Learning for Efficient Pre-Training of Transferrable Deep Models Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy Hospedales

ICML 2023 ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging Alessandro Fontanella, Antreas Antoniou, Wenwen Li, Joanna Wardlaw, Grant Mair, Emanuele Trucco, Amos Storkey

ICLR 2023 Contrastive Meta-Learning for Partially Observable Few-Shot Learning Adam Jelley, Amos Storkey, Antreas Antoniou, Sam Devlin

NeurIPSW 2023 Is Scaling Learned Optimizers Worth It? Evaluating the Value of VeLO's 4000 TPU Months Fady Rezk, Antreas Antoniou, Henry Gouk, Timothy Hospedales

ICLR 2019 How to Train Your MAML Antreas Antoniou, Harrison Edwards, Amos Storkey

NeurIPS 2019 Learning to Learn by Self-Critique Antreas Antoniou, Amos J. Storkey