Hare, Jonathon

14 publications

ICML 2025 Beyond the Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC Tyler Clark, Mark Towers, Christine Evers, Jonathon Hare
ICLR 2025 FedTMOS: Efficient One-Shot Federated Learning with Tsetlin Machine Shannon How Shi Qi, Jagmohan Chauhan, Geoff V. Merrett, Jonathon Hare
NeurIPSW 2024 Is Saliency Really Captured by Gradient? Nehal Yasin, Jonathon Hare, Antonia Marcu
NeurIPS 2024 Rethinking Deep Thinking: Stable Learning of Algorithms Using Lipschitz Constraints Jay Bear, Adam Prügel-Bennett, Jonathon Hare
JMLR 2022 A Primer for Neural Arithmetic Logic Modules Bhumika Mistry, Katayoun Farrahi, Jonathon Hare
TMLR 2022 Exploring the Learning Mechanisms of Neural Division Modules Bhumika Mistry, Katayoun Farrahi, Jonathon Hare
NeurIPS 2021 Learning to Draw: Emergent Communication Through Sketching Daniela Mihai, Jonathon Hare
NeurIPSW 2021 Shared Visual Representations of Drawing for Communication: How Do Different Biases Affect Human Interpretability and Intent? Daniela Mihai, Jonathon Hare
NeurIPSW 2020 Anatomically Constrained ResNets Exhibit Opponent Receptive Fields; so What? Ethan Harris, Daniela Mihai, Jonathon Hare
ICLR 2020 FSPool: Learning Set Representations with Featurewise Sort Pooling Yan Zhang, Jonathon Hare, Adam Prügel-Bennett
NeurIPS 2020 Linear Disentangled Representations and Unsupervised Action Estimation Matthew Painter, Adam Prugel-Bennett, Jonathon Hare
NeurIPS 2019 Deep Set Prediction Networks Yan Zhang, Jonathon Hare, Adam Prugel-Bennett
ICLR 2019 Learning Representations of Sets Through Optimized Permutations Yan Zhang, Jonathon Hare, Adam Prügel-Bennett
ICLR 2018 Learning to Count Objects in Natural Images for Visual Question Answering Yan Zhang, Jonathon Hare, Adam Prügel-Bennett