RANDAUGMENT: PRACTICAL AUTOMATED DATA AUGMENTATION WITH A REDUCED SEARCH SPACE

von Cubuk, Ekin Dogus
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 23 of 27 (2021)

Learning Data Augmentation Strategies for Object Detection

von Zoph, Barret
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 27 (2020)

RETHINKING PRE-TRAINING AND SELF-TRAINING

von Zoph, Barret
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 5 of 27 (2021)

Revisiting ResNets: Improved Training and Scaling Strategies

von Bello, Irwan
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 27 of 36 (2022)

Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation

von Chen, Liang-Chieh
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 9 (2020)

Improving 3D Object Detection Through Progressive Population Based Augmentation

von Cheng, Shuyang
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 21 (2020)

GLaM: Efficient Scaling of Language Models with Mixture-Of-Experts

von Du, Nan
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 7 of 33 (2023)