| Author |
Title |
Year |
Publication |
Volume |
Pages |
| Yaxing Wang; L. Zhang; Joost Van de Weijer |
Ensembles of generative adversarial networks |
2016 |
30th Annual Conference on Neural Information Processing Systems Worshops |
|
|
| Guim Perarnau; Joost Van de Weijer; Bogdan Raducanu; Jose Manuel Alvarez |
Invertible conditional gans for image editing |
2016 |
30th Annual Conference on Neural Information Processing Systems Worshops |
|
|
| Xavier Baro; Sergio Escalera; Isabelle Guyon; Julio C. S. Jacques Junior; Lukasz Romaszko; Lisheng Sun; Sebastien Treguer; Evelyne Viegas |
Coompetitions in machine learning: case studies |
2016 |
30th Annual Conference on Neural Information Processing Systems Worshops |
|
|
| Fahad Shahbaz Khan; Joost Van de Weijer; Andrew Bagdanov; Maria Vanrell |
Portmanteau Vocabularies for Multi-Cue Image Representation |
2011 |
25th Annual Conference on Neural Information Processing Systems |
|
|
| B. Zhou; Agata Lapedriza; J. Xiao; A. Torralba; A. Oliva |
Learning Deep Features for Scene Recognition using Places Database |
2014 |
28th Annual Conference on Neural Information Processing Systems |
|
487-495 |
| Boris N. Oreshkin; Pau Rodriguez; Alexandre Lacoste |
TADAM: Task dependent adaptive metric for improved few-shot learning |
2018 |
32nd Annual Conference on Neural Information Processing Systems |
|
|
| Abel Gonzalez-Garcia; Joost Van de Weijer; Yoshua Bengio |
Image-to-image translation for cross-domain disentanglement |
2018 |
32nd Annual Conference on Neural Information Processing Systems |
|
|
| Chenshen Wu; Luis Herranz; Xialei Liu; Joost Van de Weijer; Bogdan Raducanu |
Memory Replay GANs: Learning to Generate New Categories without Forgetting |
2018 |
32nd Annual Conference on Neural Information Processing Systems |
|
5966-5976 |
| Shiqi Yang; Yaxing Wang; Joost Van de Weijer; Luis Herranz; Shangling Jui |
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation |
2021 |
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021) |
|
|
| Diego Porres |
Discriminator Synthesis: On reusing the other half of Generative Adversarial Networks |
2021 |
Machine Learning for Creativity and Design, Neurips Workshop |
|
|
| Riccardo Del Chiaro; Bartlomiej Twardowski; Andrew Bagdanov; Joost Van de Weijer |
Recurrent attention to transient tasks for continual image captioning |
2020 |
34th Conference on Neural Information Processing Systems |
|
|
| Yaxing Wang; Lu Yu; Joost Van de Weijer |
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs |
2020 |
34th Conference on Neural Information Processing Systems |
|
|
| Zhengying Liu; Zhen Xu; Shangeth Rajaa; Meysam Madadi; Julio C. S. Jacques Junior; Sergio Escalera; Adrien Pavao; Sebastien Treguer; Wei-Wei Tu; Isabelle Guyon |
Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019 |
2020 |
Proceedings of Machine Learning Research |
123 |
242-252 |
| Shiqi Yang; Yaxing Wang; Kai Wang; Shangling Jui; Joost Van de Weijer |
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation |
2022 |
36th Conference on Neural Information Processing Systems |
|
|
| Dipam Goswami; Yuyang Liu ; Bartlomiej Twardowski; Joost Van de Weijer |
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning |
2023 |
37th Annual Conference on Neural Information Processing Systems |
|
|
