Mark Collier - RankMe

34 papers A* 8Journal 22Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Semantic Document Derendering: SVG Reconstruction via Vision-Language Modeling. AAAI Adam Hazimeh, Ke Wang, Mark Collier, Gilles Baechler, Efi Kokiopoulou, Pascal Frossard
2025	J	`jnl`	Semantic Document Derendering: SVG Reconstruction via Vision-Language Modeling. CoRR Adam Hazimeh, Ke Wang, Mark Collier, Gilles Baechler, Efi Kokiopoulou, Pascal Frossard
2025	—	`conf`	Sketch-to-Layout: Sketch-Guided Multimodal Layout Generation. ICCVW Riccardo Brioschi, Aleksandr Alekseev, Emanuele Nevali, Berkay Döner, Omar El Malki, Blagoj Mitrevski, Leandro Kieliger, Mark Collier, Andrii Maksai, Jesse Berent, Claudiu Cristian Musat, Efi Kokiopoulou
2025	J	`jnl`	Sketch-to-Layout: Sketch-Guided Multimodal Layout Generation. CoRR Riccardo Brioschi, Aleksandr Alekseev, Emanuele Nevali, Berkay Döner, Omar El Malki, Blagoj Mitrevski, Leandro Kieliger, Mark Collier, Andrii Maksai, Jesse Berent, Claudiu Musat, Efi Kokiopoulou
2024	A*	`conf`	Pi-DUAL: Using privileged information to distinguish clean from noisy labels. ICML Ke Wang, Guillermo Ortiz-Jiménez, Rodolphe Jenatton, Mark Collier, Efi Kokiopoulou, Pascal Frossard
2024	J	`jnl`	Pretrained Visual Uncertainties. CoRR Michael Kirchhof, Mark Collier, Seong Joon Oh, Enkelejda Kasneci
2024	J	`jnl`	Representing Online Handwriting for Recognition in Large Vision-Language Models. CoRR Anastasiia Fadeeva, Philippe Schlattner, Andrii Maksai, Mark Collier, Efi Kokiopoulou, Jesse Berent, Claudiu Musat
2023	A*	`conf`	Massively Scaling Heteroscedastic Classifiers. ICLR Mark Collier, Rodolphe Jenatton, Basil Mustafa, Neil Houlsby, Jesse Berent, Effrosyni Kokiopoulou
2023	J	`jnl`	Massively Scaling Heteroscedastic Classifiers. CoRR Mark Collier, Rodolphe Jenatton, Basil Mustafa, Neil Houlsby, Jesse Berent, Effrosyni Kokiopoulou
2023	J	`jnl`	Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels. CoRR Ke Wang, Guillermo Ortiz-Jiménez, Rodolphe Jenatton, Mark Collier, Efi Kokiopoulou, Pascal Frossard
2023	A*	`conf`	Scaling Vision Transformers to 22 Billion Parameters. ICML 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
2023	A*	`conf`	Three Towers: Flexible Contrastive Learning with Pretrained Image Models. NeurIPS Jannik Kossen, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou
2023	J	`jnl`	Three Towers: Flexible Contrastive Learning with Pretrained Image Models. CoRR Jannik Kossen, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou
2023	J	`jnl`	When does Privileged Information Explain Away Label Noise? CoRR Guillermo Ortiz-Jiménez, Mark Collier, Anant Nawalgaria, Alexander D'Amour, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou
2023	A*	`conf`	When does Privileged information Explain Away Label Noise? ICML Guillermo Ortiz-Jiménez, Mark Collier, Anant Nawalgaria, Alexander Nicholas D'Amour, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou
2022	J	`jnl`	Deep Classifiers with Label Noise Modeling and Distance Awareness. Trans. Mach. Learn. Res. Vincent Fortuin, Mark Collier, Florian Wenzel, James Urquhart Allingham, Jeremiah Zhe Liu, Dustin Tran, Balaji Lakshminarayanan, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou
2022	J	`jnl`	Plex: Towards Reliability using Pretrained Large Model Extensions. CoRR 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
2022	A*	`conf`	Transfer and Marginalize: Explaining Away Label Noise with Privileged Information. ICML Mark Collier, Rodolphe Jenatton, Effrosyni Kokiopoulou, Jesse Berent
2022	J	`jnl`	Transfer and Marginalize: Explaining Away Label Noise with Privileged Information. CoRR Mark Collier, Rodolphe Jenatton, Efi Kokiopoulou, Jesse Berent
2021	A*	`conf`	Correlated Input-Dependent Label Noise in Large-Scale Image Classification. CVPR Mark Collier, Basil Mustafa, Efi Kokiopoulou, Rodolphe Jenatton, Jesse Berent
2021	J	`jnl`	Correlated Input-Dependent Label Noise in Large-Scale Image Classification. CoRR Mark Collier, Basil Mustafa, Efi Kokiopoulou, Rodolphe Jenatton, Jesse Berent
2021	J	`jnl`	Deep Classifiers with Label Noise Modeling and Distance Awareness. CoRR Vincent Fortuin, Mark Collier, Florian Wenzel, James Urquhart Allingham, Jeremiah Z. Liu, Dustin Tran, Balaji Lakshminarayanan, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou
2021	J	`jnl`	Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning. CoRR 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
2020	J	`jnl`	Analysis of Softmax Approximation for Deep Classifiers under Input-Dependent Label Noise. CoRR Mark Collier, Basil Mustafa, Efi Kokiopoulou, Jesse Berent
2020	J	`jnl`	Routing Networks with Co-training for Continual Learning. CoRR Mark Collier, Efi Kokiopoulou, Andrea Gesmundo, Jesse Berent
2020	J	`jnl`	VAEs in the Presence of Missing Data. CoRR Mark Collier, Alfredo Nazábal, Christopher K. I. Williams
2019	—	`conf`	Memory-Augmented Neural Networks for Machine Translation. MTSummit (1) Mark Collier, Joeran Beel
2019	J	`jnl`	Memory-Augmented Neural Networks for Machine Translation. CoRR Mark Collier, Joeran Beel
2019	J	`jnl`	Scalable Deep Unsupervised Clustering with Concrete GMVAEs. CoRR Mark Collier, Hector Urdiales
2018	—	`conf`	An Empirical Comparison of Syllabuses for Curriculum Learning. AICS Mark Collier, Jöran Beel
2018	J	`jnl`	An Empirical Comparison of Syllabuses for Curriculum Learning. CoRR Mark Collier, Jöran Beel
2018	J	`jnl`	Deep Contextual Multi-armed Bandits. CoRR Mark Collier, Hector Urdiales Llorens
2018	—	`conf`	Implementing Neural Turing Machines. ICANN (3) Mark Collier, Jöran Beel
2018	J	`jnl`	Implementing Neural Turing Machines. CoRR Mark Collier, Jöran Beel