Paul Albert
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
11
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | SineLoRA∆: Sine-Activated Delta Compression. | Cameron Gordon, Yiping Ji, Hemanth Saratchandran, Paul Albert, Simon Lucey |
| 2025 | ICCV | 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 |
| 2025 | ICLR | 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 |
| 2025 | RecSys | In-context Learning for Addressing User Cold-start in Sequential Movie Recommenders. | Xurong Liang, Vu Nguyen, Vuong Le, Paul Albert, Julien Monteil |
| 2024 | CVPR | Energy-Efficient Uncertainty-Aware Biomass Composition Prediction at the Edge. | Muhammad Zawish, Paul Albert, Flavio Esposito, Steven Davy, Lizy Abraham |
| 2024 | ECCV | An Accurate Detection Is Not All You Need to Combat Label Noise in Web-Noisy Datasets. | Paul Albert, Jack Valmadre, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness |
| 2023 | BMVC | Unifying Synergies between Self-supervised Learning and Dynamic Computation. | Tarun Krishna, Ayush K. Rai, Alexandru Drimbarean, Eric Arazo, Paul Albert, Alan F. Smeaton, Kevin McGuinness, Noel E. O'Connor |
| 2023 | WACV | 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 |
| 2022 | CVPR | 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 |
| 2022 | ECCV | 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 |
| 2022 | WACV | Addressing out-of-distribution label noise in webly-labelled data. | Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness |
| 2021 | BMVC | How Important is Importance Sampling for Deep Budgeted Training? | Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness |
| 2021 | CVPR | Multi-Objective Interpolation Training for Robustness To Label Noise. | Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness |
| 2021 | IJCNN | ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning. | Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness |
| 2020 | ICPR | Towards Robust Learning with Different Label Noise Distributions. | Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness |
| 2020 | IJCNN | Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning. | Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness |
| 2019 | ICML | Unsupervised Label Noise Modeling and Loss Correction. | Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness |