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2020 – today
- 2024
[i10]Benjamin Bergner, Andrii Skliar, Amelie Royer, Tijmen Blankevoort, Yuki M. Asano, Babak Ehteshami Bejnordi:
Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding. CoRR abs/2402.16844 (2024)- [i9]Babak Ehteshami Bejnordi, Gaurav Kumar, Amelie Royer, Christos Louizos, Tijmen Blankevoort, Mohsen Ghafoorian:
InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning. CoRR abs/2402.16848 (2024) - 2023
- [c10]Jakob Drachmann Havtorn, Amélie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi:
MSViT: Dynamic Mixed-scale Tokenization for Vision Transformers. ICCV (Workshops) 2023: 838-848 - [c9]Amelie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi:
Scalarization for Multi-Task and Multi-Domain Learning at Scale. NeurIPS 2023 - [i8]Amelie Royer, Ilia Karmanov, Andrii Skliar, Babak Ehteshami Bejnordi, Tijmen Blankevoort:
Revisiting Single-gated Mixtures of Experts. CoRR abs/2304.05497 (2023) - [i7]Jakob Drachmann Havtorn, Amelie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi:
MSViT: Dynamic Mixed-Scale Tokenization for Vision Transformers. CoRR abs/2307.02321 (2023) - [i6]Amelie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi:
Scalarization for Multi-Task and Multi-Domain Learning at Scale. CoRR abs/2310.08910 (2023) - 2022
- [c8]Amelie Royer, Ilia Karmanov, Andrii Skliar, Babak Ehteshami Bejnordi, Tijmen Blankevoort:
Revisiting single-gated Mixtures of Experts. BMVC 2022: 736 - [c7]Lucas Beyer, Xiaohua Zhai, Amélie Royer, Larisa Markeeva, Rohan Anil, Alexander Kolesnikov:
Knowledge distillation: A good teacher is patient and consistent. CVPR 2022: 10915-10924 - 2021
- [i5]Lucas Beyer, Xiaohua Zhai, Amélie Royer, Larisa Markeeva, Rohan Anil, Alexander Kolesnikov:
Knowledge distillation: A good teacher is patient and consistent. CoRR abs/2106.05237 (2021) - 2020
- [c6]Krishnendu Chatterjee, Martin Chmelík, Deep Karkhanis, Petr Novotný, Amélie Royer:
Multiple-Environment Markov Decision Processes: Efficient Analysis and Applications. ICAPS 2020: 48-56 - [c5]Amélie Royer, Christoph H. Lampert:
Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios. WACV 2020: 1716-1725 - [c4]Amélie Royer, Christoph H. Lampert:
A Flexible Selection Scheme for Minimum-Effort Transfer Learning. WACV 2020: 2180-2189 - [p1]Amelie Royer
, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, Kevin Murphy:
XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings. Domain Adaptation for Visual Understanding 2020: 33-49 - [i4]Amelie Royer, Christoph H. Lampert:
Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios. CoRR abs/2004.12623 (2020) - [i3]Amelie Royer, Christoph H. Lampert:
A Flexible Selection Scheme for Minimum-Effort Transfer Learning. CoRR abs/2008.11995 (2020)
2010 – 2019
- 2017
- [c3]Amelie Royer, Alexander Kolesnikov, Christoph H. Lampert:
Probabilistic Image Colorization. BMVC 2017 - [i2]Amelie Royer, Alexander Kolesnikov, Christoph H. Lampert:
Probabilistic Image Colorization. CoRR abs/1705.04258 (2017) - [i1]Amelie Royer, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, Kevin Murphy:
XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings. CoRR abs/1711.05139 (2017) - 2016
- [c2]Amelie Royer, Guillaume Gravier, Vincent Claveau:
Audio word similarity for clustering with zero resources based on iterative HMM classification. ICASSP 2016: 5340-5344 - 2015
- [c1]Amelie Royer, Christoph H. Lampert:
Classifier adaptation at prediction time. CVPR 2015: 1401-1409
Coauthor Index
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