Robollm: Robotic vision tasks grounded on multimodal large language models Z Long, G Killick, R McCreadie, G Aragon-Camarasa 2024 IEEE International Conference on Robotics and Automation (ICRA), 12428 …, 2024 | 6 | 2024 |
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 | 6 | 2023 |
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 | 5 | 2023 |
When hard negative sampling meets supervised contrastive learning Z Long, G Killick, R McCreadie, GA Camarasa, Z Meng arXiv preprint arXiv:2308.14893, 2023 | 5 | 2023 |
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 | 2 | 2024 |
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 | 1 | 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 |