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Journal Articles
- 2022
[j1]Vincent Fortuin
, Mark Collier, Florian Wenzel, James Urquhart Allingham, Jeremiah Zhe Liu, Dustin Tran, Balaji Lakshminarayanan, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou:
Deep Classifiers with Label Noise Modeling and Distance Awareness. Trans. Mach. Learn. Res. 2022 (2022)
Conference and Workshop Papers
- 2024
- [c10]Ke Wang, Guillermo Ortiz-Jiménez, Rodolphe Jenatton, Mark Collier, Efi Kokiopoulou, Pascal Frossard:
Pi-DUAL: Using privileged information to distinguish clean from noisy labels. ICML 2024 - 2023
- [c9]Mark Collier, Rodolphe Jenatton, Basil Mustafa, Neil Houlsby, Jesse Berent, Effrosyni Kokiopoulou:
Massively Scaling Heteroscedastic Classifiers. ICLR 2023 - [c8]Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby:
Scaling Vision Transformers to 22 Billion Parameters. ICML 2023: 7480-7512 - [c7]Guillermo Ortiz-Jiménez, Mark Collier, Anant Nawalgaria, Alexander Nicholas D'Amour, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou:
When does Privileged information Explain Away Label Noise? ICML 2023: 26646-26669 - [c6]Jannik Kossen, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou:
Three Towers: Flexible Contrastive Learning with Pretrained Image Models. NeurIPS 2023 - 2022
- [c5]Mark Collier, Rodolphe Jenatton, Effrosyni Kokiopoulou, Jesse Berent:
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information. ICML 2022: 4219-4237 - 2021
- [c4]Mark Collier, Basil Mustafa, Efi Kokiopoulou, Rodolphe Jenatton, Jesse Berent:
Correlated Input-Dependent Label Noise in Large-Scale Image Classification. CVPR 2021: 1551-1560 - 2019
- [c3]Mark Collier, Joeran Beel:
Memory-Augmented Neural Networks for Machine Translation. MTSummit (1) 2019: 172-181 - 2018
- [c2]Mark Collier, Jöran Beel:
An Empirical Comparison of Syllabuses for Curriculum Learning. AICS 2018: 150-161 - [c1]Mark Collier, Jöran Beel:
Implementing Neural Turing Machines. ICANN (3) 2018: 94-104
Informal and Other Publications
- 2024
- [i20]Anastasiia Fadeeva, Philippe Schlattner, Andrii Maksai, Mark Collier, Efi Kokiopoulou, Jesse Berent, Claudiu Musat:
Representing Online Handwriting for Recognition in Large Vision-Language Models. CoRR abs/2402.15307 (2024) - [i19]Michael Kirchhof, Mark Collier, Seong Joon Oh, Enkelejda Kasneci:
Pretrained Visual Uncertainties. CoRR abs/2402.16569 (2024) - 2023
- [i18]Mark Collier, Rodolphe Jenatton, Basil Mustafa, Neil Houlsby, Jesse Berent, Effrosyni Kokiopoulou:
Massively Scaling Heteroscedastic Classifiers. CoRR abs/2301.12860 (2023) - [i17]Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin F. Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Patrick Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby:
Scaling Vision Transformers to 22 Billion Parameters. CoRR abs/2302.05442 (2023) - [i16]Guillermo Ortiz-Jiménez, Mark Collier, Anant Nawalgaria, Alexander D'Amour, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou:
When does Privileged Information Explain Away Label Noise? CoRR abs/2303.01806 (2023) - [i15]Jannik Kossen, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou:
Three Towers: Flexible Contrastive Learning with Pretrained Image Models. CoRR abs/2305.16999 (2023) - [i14]Ke Wang, Guillermo Ortiz-Jiménez, Rodolphe Jenatton, Mark Collier, Efi Kokiopoulou, Pascal Frossard:
Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels. CoRR abs/2310.06600 (2023) - 2022
- [i13]Mark Collier, Rodolphe Jenatton, Efi Kokiopoulou, Jesse Berent:
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information. CoRR abs/2202.09244 (2022) - [i12]Dustin Tran, Jeremiah Z. Liu, Michael W. Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda Mariet, Huiyi Hu, Neil Band, Tim G. J. Rudner, Karan Singhal, Zachary Nado, Joost van Amersfoort, Andreas Kirsch, Rodolphe Jenatton, Nithum Thain, Honglin Yuan, Kelly Buchanan, Kevin Murphy, D. Sculley, Yarin Gal, Zoubin Ghahramani, Jasper Snoek, Balaji Lakshminarayanan:
Plex: Towards Reliability using Pretrained Large Model Extensions. CoRR abs/2207.07411 (2022) - 2021
- [i11]Mark Collier, Basil Mustafa, Efi Kokiopoulou, Rodolphe Jenatton, Jesse Berent:
Correlated Input-Dependent Label Noise in Large-Scale Image Classification. CoRR abs/2105.10305 (2021) - [i10]Zachary Nado, Neil Band, Mark Collier, Josip Djolonga, Michael W. Dusenberry, Sebastian Farquhar, Angelos Filos, Marton Havasi, Rodolphe Jenatton, Ghassen Jerfel, Jeremiah Z. Liu, Zelda Mariet, Jeremy Nixon, Shreyas Padhy, Jie Ren, Tim G. J. Rudner, Yeming Wen, Florian Wenzel, Kevin Murphy, D. Sculley, Balaji Lakshminarayanan, Jasper Snoek, Yarin Gal, Dustin Tran:
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning. CoRR abs/2106.04015 (2021) - [i9]Vincent Fortuin, Mark Collier, Florian Wenzel, James Urquhart Allingham, Jeremiah Z. Liu, Dustin Tran, Balaji Lakshminarayanan, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou:
Deep Classifiers with Label Noise Modeling and Distance Awareness. CoRR abs/2110.02609 (2021) - 2020
- [i8]Mark Collier, Basil Mustafa, Efi Kokiopoulou, Jesse Berent:
Analysis of Softmax Approximation for Deep Classifiers under Input-Dependent Label Noise. CoRR abs/2003.06778 (2020) - [i7]Mark Collier, Alfredo Nazábal, Christopher K. I. Williams:
VAEs in the Presence of Missing Data. CoRR abs/2006.05301 (2020) - [i6]Mark Collier, Efi Kokiopoulou, Andrea Gesmundo, Jesse Berent:
Routing Networks with Co-training for Continual Learning. CoRR abs/2009.04381 (2020) - 2019
- [i5]Mark Collier, Joeran Beel:
Memory-Augmented Neural Networks for Machine Translation. CoRR abs/1909.08314 (2019) - [i4]Mark Collier, Hector Urdiales:
Scalable Deep Unsupervised Clustering with Concrete GMVAEs. CoRR abs/1909.08994 (2019) - 2018
- [i3]Mark Collier, Jöran Beel:
Implementing Neural Turing Machines. CoRR abs/1807.08518 (2018) - [i2]Mark Collier, Hector Urdiales Llorens:
Deep Contextual Multi-armed Bandits. CoRR abs/1807.09809 (2018) - [i1]Mark Collier, Jöran Beel:
An Empirical Comparison of Syllabuses for Curriculum Learning. CoRR abs/1809.10789 (2018)
Coauthor Index
aka: Efi Kokiopoulou
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