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
2656 2017 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
311 2019 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
154 2019 Flax: A neural network library and ecosystem for JAX, 2020 J Heek, A Levskaya, A Oliver, M Ritter, B Rondepierre, A Steiner, ...
URL http://github. com/google/flax 1, 0
100 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
89 2021 Scaling Up Models and Data with A Roberts, HW Chung, A Levskaya, G Mishra, J Bradbury, D Andor, ...
arXiv preprint arXiv:2203.17189, 2022
66 2022 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
66 2020 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
58 2020 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
23 2017 Self-supervised generative adversarial networks T Chen, X Zhai, M Ritter, M Lucic, N Houlsby
arXiv preprint arXiv:1811.11212 2, 2018
20 2018 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
18 2017 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
18 2017 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
8 2021 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
7 2020 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
6 2023 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
6 2016 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
5 2020 Neural Network Architectures for Reverberated Lecture Speech Recognition M Ritter
Informatics Institute, 2016
1 2016 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 