Scaling vision transformers to 22 billion parameters M Dehghani, J Djolonga, B Mustafa, P Padlewski, J Heek, J Gilmer, ... International Conference on Machine Learning, 7480-7512, 2023 | 233 | 2023 |
Uncertainty baselines: Benchmarks for uncertainty & robustness in deep learning Z Nado, N Band, M Collier, J Djolonga, MW Dusenberry, S Farquhar, ... arXiv preprint arXiv:2106.04015, 2021 | 97 | 2021 |
Plex: Towards Reliability using Pretrained Large Model Extensions D Tran, J Liu, MW Dusenberry, D Phan, M Collier, J Ren, K Han, Z Wang, ... arXiv preprint arXiv:2207.07411, 2022 | 78 | 2022 |
Implementing neural turing machines M Collier, J Beel Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 60 | 2018 |
Correlated Input-Dependent Label Noise in Large-Scale Image Classification M Collier, B Mustafa, E Kokiopoulou, R Jenatton, J Berent CVPR 2021, 2021 | 50 | 2021 |
Deep Contextual Multi-armed Bandits M Collier, HU Llorens UAI Bayesian Deep Learning Workshop 2018, 2018 | 40 | 2018 |
VAEs in the Presence of Missing Data M Collier, A Nazabal, CKI Williams The Art of Learning with Missing Values, First ICML Workshop, 2020, 2020 | 31 | 2020 |
A Simple Probabilistic Method for Deep Classification under Input-Dependent Label Noise M Collier, B Mustafa, E Kokiopoulou, J Berent arXiv preprint arXiv:2003.06778, 2020 | 20 | 2020 |
Routing Networks with Co-training for Continual Learning M Collier, E Kokiopoulou, A Gesmundo, J Berent Workshop on Continual Learning, ICML 2020, 2020 | 13 | 2020 |
Deep Classifiers with Label Noise Modeling and Distance Awareness V Fortuin, M Collier, F Wenzel, J Allingham, J Liu, D Tran, ... TMLR, 2021 | 11 | 2021 |
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information M Collier, R Jenatton, E Kokiopoulou, J Berent ICML 2022, 2022 | 9 | 2022 |
Memory-Augmented Neural Networks for Machine Translation M Collier, J Beel Proceedings of Machine Translation Summit XVII Volume 1: Research Track, 172-181, 2019 | 8 | 2019 |
Plex: towards reliability using pretrained large model extensions (2022) D Tran, J Liu, MW Dusenberry, D Phan, M Collier, J Ren, K Han, Z Wang, ... URL https://arxiv. org/abs/2207.07411, 0 | 8 | |
Massively Scaling Heteroscedastic Classifiers M Collier, R Jenatton, B Mustafa, N Houlsby, J Berent, E Kokiopoulou ICLR 2023, 2023 | 6 | 2023 |
Scalable Deep Unsupervised Clustering with Concrete GMVAEs M Collier, H Urdiales 1st Workshop on Deep Continuous-Discrete Machine Learning, ECML 2019, 2019 | 5 | 2019 |
When does Privileged Information Explain Away Label Noise? G Ortiz-Jimenez, M Collier, A Nawalgaria, A D'Amour, J Berent, ... ICML 2023, 2023 | 4 | 2023 |
Three Towers: Flexible Contrastive Learning with Pretrained Image Models J Kossen, M Collier, B Mustafa, X Wang, X Zhai, L Beyer, A Steiner, ... NeurIPS 2023, 2023 | 3 | 2023 |
Pretrained Visual Uncertainties M Kirchhof, M Collier, SJ Oh, E Kasneci arXiv preprint arXiv:2402.16569, 2024 | | 2024 |
Representing Online Handwriting for Recognition in Large Vision-Language Models A Fadeeva, P Schlattner, A Maksai, M Collier, E Kokiopoulou, J Berent, ... arXiv preprint arXiv:2402.15307, 2024 | | 2024 |
Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels K Wang, G Ortiz-Jimenez, R Jenatton, M Collier, E Kokiopoulou, ... arXiv preprint arXiv:2310.06600, 2023 | | 2023 |