Albert, Paul

12 publications

ICLR 2025 RandLoRA: Full Rank Parameter-Efficient Fine-Tuning of Large Models Paul Albert, Frederic Z. Zhang, Hemanth Saratchandran, Cristian Rodriguez-Opazo, Anton van den Hengel, Ehsan Abbasnejad

ICCV 2025 Towards Higher Effective Rank in Parameter-Efficient Fine-Tuning Using Khatri-Rao Product Paul Albert, Frederic Z. Zhang, Hemanth Saratchandran, Anton van den Hengel, Ehsan Abbasnejad

ECCV 2024 An Accurate Detection Is Not All You Need to Combat Label Noise in Web-Noisy Datasets Paul Albert, Kevin McGuinness, Eric Arazo, Tarun Krishna, Noel O Connor, Jack Valmadre

CVPRW 2024 Energy-Efficient Uncertainty-Aware Biomass Composition Prediction at the Edge Muhammad Zawish, Paul Albert, Flavio Esposito, Steven Davy, Lizy Abraham

NeurIPS 2024 Knowledge Composition Using Task Vectors with Learned Anisotropic Scaling Frederic Z. Zhang, Paul Albert, Cristian Rodriguez-Opazo, Anton van den Hengel, Ehsan Abbasnejad

WACV 2023 Is Your Noise Correction Noisy? PLS: Robustness to Label Noise with Two Stage Detection Paul Albert, Eric Arazo, Tarun Krishna, Noel E. O’Connor, Kevin McGuinness

WACV 2022 Addressing Out-of-Distribution Label Noise in Webly-Labelled Data Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness

ECCV 2022 Embedding Contrastive Unsupervised Features to Cluster In- and Out-of-Distribution Noise in Corrupted Image Datasets Paul Albert, Eric Arazo, Noel E. O’Connor, Kevin McGuinness

CVPRW 2022 Unsupervised Domain Adaptation and Super Resolution on Drone Images for Autonomous Dry Herbage Biomass Estimation Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Noel E. O'Connor, Kevin McGuinness

CVPR 2021 Multi-Objective Interpolation Training for Robustness to Label Noise Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness

ICCVW 2021 Semi-Supervised Dry Herbage Mass Estimation Using Automatic Data and Synthetic Images Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling O'Connor, Noel E. O'Connor, Kevin McGuinness

ICML 2019 Unsupervised Label Noise Modeling and Loss Correction Eric Arazo, Diego Ortego, Paul Albert, Noel O’Connor, Kevin Mcguinness