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George Killick
George Killick
Dirección de correo verificada de student.gla.ac.uk
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Elucidating and overcoming the challenges of label noise in supervised contrastive learning
Z Long, G Killick, L Zhuang, R McCreadie, GA Camarasa, P Henderson
arXiv preprint arXiv:2311.16481, 2023
72023
Robollm: Robotic vision tasks grounded on multimodal large language models
Z Long, G Killick, R McCreadie, GA Camarasa
arXiv preprint arXiv:2310.10221, 2023
62023
Multiway-adapater: Adapting large-scale multi-modal models for scalable image-text retrieval
Z Long, G Killick, R McCreadie, GA Camarasa
arXiv preprint arXiv:2309.01516, 2023
62023
When hard negative sampling meets supervised contrastive learning
Z Long, G Killick, R McCreadie, GA Camarasa, Z Meng
arXiv preprint arXiv:2308.14893, 2023
52023
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion
Z Long, G Killick, L Zhuang, G Aragon-Camarasa, Z Meng, R Mccreadie
arXiv preprint arXiv:2402.14551, 2024
12024
Multiway-Adapter: Adapting Multimodal Large Language Models for Scalable Image-Text Retrieval
Z Long, G Killick, R McCreadie, GA Camarasa
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
2024
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning
Z Long, L Zhuang, G Killick, R McCreadie, GA Camarasa, P Henderson
arXiv preprint arXiv:2403.06289, 2024
2024
Foveation in the Era of Deep Learning
G Killick, P Henderson, P Siebert, G Aragon-Camarasa
arXiv preprint arXiv:2312.01450, 2023
2023
Monte-Carlo Convolutions on Foveated Images
G Killick, G Aragon-Camarasa, JP Siebert
2022
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Artículos 1–9