Mark Collier

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Privileged Information

Weighted Least Squares

Unsupervised Clustering

Top Venues

Publications

Michael Kirchhof, Mark Collier, Seong Joon Oh, Enkelejda Kasneci
Pretrained Visual Uncertainties. CoRR (2024)
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 (2024)
Mark Collier, Rodolphe Jenatton, Basil Mustafa, Neil Houlsby, Jesse Berent, Effrosyni Kokiopoulou
Massively Scaling Heteroscedastic Classifiers. CoRR (2023)
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 (2023)
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)
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 (2023)
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 (2023)
Mark Collier, Rodolphe Jenatton, Basil Mustafa, Neil Houlsby, Jesse Berent, Effrosyni Kokiopoulou
Massively Scaling Heteroscedastic Classifiers. ICLR (2023)
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)
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)
Mark Collier, Rodolphe Jenatton, Efi Kokiopoulou, Jesse Berent
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information. CoRR (2022)
Mark Collier, Rodolphe Jenatton, Effrosyni Kokiopoulou, Jesse Berent
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information. ICML (2022)
Dustin Tran, Jeremiah 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 (2022)
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)
Mark Collier, Basil Mustafa, Efi Kokiopoulou, Rodolphe Jenatton, Jesse Berent
Correlated Input-Dependent Label Noise in Large-Scale Image Classification. CoRR (2021)
Vincent Fortuin, Mark Collier, Florian Wenzel, James Urquhart Allingham, Jeremiah Liu, Dustin Tran, Balaji Lakshminarayanan, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou
Deep Classifiers with Label Noise Modeling and Distance Awareness. CoRR (2021)
Mark Collier, Basil Mustafa, Efi Kokiopoulou, Rodolphe Jenatton, Jesse Berent
Correlated Input-Dependent Label Noise in Large-Scale Image Classification. CVPR (2021)
Zachary Nado, Neil Band, Mark Collier, Josip Djolonga, Michael W. Dusenberry, Sebastian Farquhar, Angelos Filos, Marton Havasi, Rodolphe Jenatton, Ghassen Jerfel, Jeremiah 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 (2021)
Mark Collier, Alfredo Nazábal, Christopher K. I. Williams
VAEs in the Presence of Missing Data. CoRR (2020)
Mark Collier, Efi Kokiopoulou, Andrea Gesmundo, Jesse Berent
Routing Networks with Co-training for Continual Learning. CoRR (2020)
Mark Collier, Basil Mustafa, Efi Kokiopoulou, Jesse Berent
Analysis of Softmax Approximation for Deep Classifiers under Input-Dependent Label Noise. CoRR (2020)
Mark Collier, Joeran Beel
Memory-Augmented Neural Networks for Machine Translation. MTSummit (1) (2019)
Mark Collier, Joeran Beel
Memory-Augmented Neural Networks for Machine Translation. CoRR (2019)
Mark Collier, Hector Urdiales
Scalable Deep Unsupervised Clustering with Concrete GMVAEs. CoRR (2019)
Mark Collier, Jöran Beel
Implementing Neural Turing Machines. ICANN (3) (2018)
Mark Collier, Jöran Beel
An Empirical Comparison of Syllabuses for Curriculum Learning. CoRR (2018)
Mark Collier, Jöran Beel
An Empirical Comparison of Syllabuses for Curriculum Learning. AICS (2018)
Mark Collier, Jöran Beel
Implementing Neural Turing Machines. CoRR (2018)
Mark Collier, Hector Urdiales Llorens
Deep Contextual Multi-armed Bandits. CoRR (2018)