Amelie Royer

According to our database, Amelie Royer authored at least 14 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning.

Babak Ehteshami Bejnordi, Gaurav Kumar, Amelie Royer, Christos Louizos, Tijmen Blankevoort, Mohsen Ghafoorian

CoRR, 2024

Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding.

Benjamin Bergner, Andrii Skliar, Amelie Royer, Tijmen Blankevoort, Yuki M. Asano, Babak Ehteshami Bejnordi

CoRR, 2024

2023

Scalarization for Multi-Task and Multi-Domain Learning at Scale.

Amelie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MSViT: Dynamic Mixed-scale Tokenization for Vision Transformers.

Jakob Drachmann Havtorn, Amélie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Knowledge distillation: A good teacher is patient and consistent.

Lucas Beyer, Xiaohua Zhai, Amélie Royer, Larisa Markeeva, Rohan Anil, Alexander Kolesnikov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Revisiting single-gated Mixtures of Experts.

Amelie Royer, Ilia Karmanov, Andrii Skliar, Babak Ehteshami Bejnordi, Tijmen Blankevoort

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2020

A Flexible Selection Scheme for Minimum-Effort Transfer Learning.

Amélie Royer, Christoph H. Lampert

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios.

Amélie Royer, Christoph H. Lampert

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Multiple-Environment Markov Decision Processes: Efficient Analysis and Applications.

Krishnendu Chatterjee, Martin Chmelík, Deep Karkhanis, Petr Novotný, Amélie Royer

Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020

XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings.

Amelie Royer, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, Kevin Murphy

Proceedings of the Domain Adaptation for Visual Understanding, 2020

2017

XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings.

Amelie Royer, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, Kevin Murphy

CoRR, 2017

Probabilistic Image Colorization.

Amelie Royer, Alexander Kolesnikov, Christoph H. Lampert

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Audio word similarity for clustering with zero resources based on iterative HMM classification.

Amelie Royer, Guillaume Gravier, Vincent Claveau

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Classifier adaptation at prediction time.

Amelie Royer, Christoph H. Lampert

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015