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Mark Collier
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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
2332023
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
972021
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
782022
Implementing neural turing machines
M Collier, J Beel
Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018
602018
Correlated Input-Dependent Label Noise in Large-Scale Image Classification
M Collier, B Mustafa, E Kokiopoulou, R Jenatton, J Berent
CVPR 2021, 2021
502021
Deep Contextual Multi-armed Bandits
M Collier, HU Llorens
UAI Bayesian Deep Learning Workshop 2018, 2018
402018
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
312020
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
202020
Routing Networks with Co-training for Continual Learning
M Collier, E Kokiopoulou, A Gesmundo, J Berent
Workshop on Continual Learning, ICML 2020, 2020
132020
Deep Classifiers with Label Noise Modeling and Distance Awareness
V Fortuin, M Collier, F Wenzel, J Allingham, J Liu, D Tran, ...
TMLR, 2021
112021
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information
M Collier, R Jenatton, E Kokiopoulou, J Berent
ICML 2022, 2022
92022
Memory-Augmented Neural Networks for Machine Translation
M Collier, J Beel
Proceedings of Machine Translation Summit XVII Volume 1: Research Track, 172-181, 2019
82019
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
62023
Scalable Deep Unsupervised Clustering with Concrete GMVAEs
M Collier, H Urdiales
1st Workshop on Deep Continuous-Discrete Machine Learning, ECML 2019, 2019
52019
When does Privileged Information Explain Away Label Noise?
G Ortiz-Jimenez, M Collier, A Nawalgaria, A D'Amour, J Berent, ...
ICML 2023, 2023
42023
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
32023
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
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