Aiden Durrant

Orcid: 0000-0002-8375-4523

According to our database1, Aiden Durrant authored at least 12 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
HiAP: A Multi-Granular Stochastic Auto-Pruning Framework for Vision Transformers.
CoRR, March, 2026

2025
Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning.
Trans. Mach. Learn. Res., 2025

Capsule Network Projectors are Equivariant and Invariant Learners.
Trans. Mach. Learn. Res., 2025

Exploring Segment Anything Foundation Models for Out of Domain Crevasse Drone Image Segmentation.
Proceedings of the Northern Lights Deep Learning Conference, 2025

Equicaps: Predictor-Free Pose-Aware Pre-Trained Capsule Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Monkey Transfer Learning Can Improve Human Pose Estimation.
CoRR, 2024

Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning.
CoRR, 2024

2023
S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual Representation Learning.
CoRR, 2023

HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes.
CoRR, 2023

2022
Hyperspherically regularized networks for self-supervision.
Image Vis. Comput., 2022

The role of cross-silo federated learning in facilitating data sharing in the agri-food sector.
Comput. Electron. Agric., 2022

2021
Hyperspherically Regularized Networks for BYOL Improves Feature Uniformity and Separability.
CoRR, 2021


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