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Marvin Ritter
Marvin Ritter
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Cited by
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Year
Audio set: An ontology and human-labeled dataset for audio events
JF Gemmeke, DPW Ellis, D Freedman, A Jansen, W Lawrence, RC Moore, ...
2017 IEEE international conference on acoustics, speech and signal …, 2017
30542017
Self-supervised gans via auxiliary rotation loss
T Chen, X Zhai, M Ritter, M Lucic, N Houlsby
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
3402019
Flax: A neural network library and ecosystem for JAX
J Heek, A Levskaya, A Oliver, M Ritter, B Rondepierre, A Steiner, ...
Version 0.3 3, 14-26, 2020
2152020
High-fidelity image generation with fewer labels
M Lučić, M Tschannen, M Ritter, X Zhai, O Bachem, S Gelly
International conference on machine learning, 4183-4192, 2019
1732019
Continental-scale building detection from high resolution satellite imagery
W Sirko, S Kashubin, M Ritter, A Annkah, YSE Bouchareb, Y Dauphin, ...
arXiv preprint arXiv:2107.12283, 2021
1292021
Scaling up models and data with t5x and seqio
A Roberts, HW Chung, G Mishra, A Levskaya, J Bradbury, D Andor, ...
Journal of Machine Learning Research 24 (377), 1-8, 2023
1102023
Pali-x: On scaling up a multilingual vision and language model
X Chen, J Djolonga, P Padlewski, B Mustafa, S Changpinyo, J Wu, ...
arXiv preprint arXiv:2305.18565, 2023
732023
Self-supervised learning of video-induced visual invariances
M Tschannen, J Djolonga, M Ritter, A Mahendran, N Houlsby, S Gelly, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
682020
Now playing: Continuous low-power music recognition
BA y Arcas, B Gfeller, R Guo, K Kilgour, S Kumar, J Lyon, J Odell, M Ritter, ...
arXiv preprint arXiv:1711.10958 [cs, eess], 2017
252017
Self-supervised generative adversarial networks
T Chen, X Zhai, M Ritter, M Lucic, N Houlsby
arXiv preprint arXiv:1811.11212 2, 2018
212018
Now playing: Continuous low-power music recognition
B Gfeller, R Guo, K Kilgour, S Kumar, J Lyon, J Odell, M Ritter, D Roblek, ...
arXiv preprint arXiv:1711.10958, 2017
202017
Now playing: Continuous low-power music recognition
B Gfeller, R Guo, K Kilgour, S Kumar, J Lyon, J Odell, M Ritter, D Roblek, ...
arXiv preprint arXiv:1711.10958, 2017
202017
Representation learning from videos in-the-wild: An object-centric approach
R Romijnders, A Mahendran, M Tschannen, J Djolonga, M Ritter, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
82021
Determining that audio includes music and then identifying the music as a particular song
D Roblek, BH Aguera-Arcas, TW Hume, MK Ritter, BC Barbello, KI Kilgour, ...
US Patent 10,809,968, 2020
82020
Identifying music as a particular song
D Roblek, BH Aguera-Arcas, TW Hume, MK Ritter, BC Barbello, KI Kilgour, ...
US Patent 10,761,802, 2020
72020
Training deep neural networks for reverberation robust speech recognition
M Ritter, M Müller, S Stüker, F Metze, A Waibel
Speech Communication; 12. ITG Symposium, 1-5, 2016
62016
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
32024
Neural Network Architectures for Reverberated Lecture Speech Recognition
M Ritter
Informatics Institute, 2016
12016
Determining that audio includes music and then identifying the music as a particular song
D Roblek, BH Aguera-Arcas, TW Hume, MK Ritter, BC Barbello, KI Kilgour, ...
US Patent 11,256,472, 2022
2022
用更少的标签生成高保真的图像
M Lucic, M Tschannen, M Ritter, X Zhai, O Bachem, S Gelly
arXiv preprint arXiv:1903.02271, 2019
2019
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