EFFICIENTNETV2: SMALLER MODELS AND FASTER TRAINING

von TAN, MINGXING
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 13 of 16 (2022)

CoAtNet: Marrying Convolution and Attention for All Data Sizes

von Dai, Zihang
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 5 of 36 (2022)

SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds

von Sun, Pei
Veröffentlicht in ECCV (17. : 2022 : Tel Aviv; Online) Computer vision – ECCV 2022 ; Part 10 (2022)

Efficient Scale-Permuted Backbone with Learned Resource Distribution

von Du, Xianzhi
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 23 (2020)

PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds

von Leng, Zhaoqi
Veröffentlicht in ECCV (17. : 2022 : Tel Aviv; Online) Computer vision – ECCV 2022 ; Part 31 (2022)

LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds

von Liu, Chenxi
Veröffentlicht in ECCV (17. : 2022 : Tel Aviv; Online) Computer vision – ECCV 2022 ; Part 21 (2022)

GO WIDE, THEN NARROW: EFFICIENT TRAINING OF DEEP THIN NETWORKS

von Zhou, Denny
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 15 of 15 (2021)

PYGLOVE: SYMBOLIC PROGRAMMING FOR AUTOMATED MACHINE LEARNING

von Peng, Daiyi
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 1 of 27 (2021)

BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models

von Yu, Jiahui
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 7 (2020)