Weights Augmentation: it has never ever ever ever let her model down

Weights Augmentation: it has never ever ever ever let her model down

30 May 2024

Junbin Zhuang

Papers citing "Weights Augmentation: it has never ever ever ever let her model down"

16 / 16 papers shown

Title
Effective Data Augmentation With Diffusion Models Brandon Trabucco Kyle Doherty Max Gurinas Ruslan Salakhutdinov DiffM VLM 74 249 0 07 Feb 2023
Stop Wasting My Time! Saving Days of ImageNet and BERT Training with Latest Weight Averaging Jean Kaddour MoMe 3DH 49 41 0 29 Sep 2022
Image Data Augmentation for Deep Learning: A Survey Suorong Yang Wei-Ting Xiao Mengcheng Zhang Suhan Guo Jian Zhao S. Furao 59 248 0 19 Apr 2022
Robust fine-tuning of zero-shot models Mitchell Wortsman Gabriel Ilharco Jong Wook Kim Mike Li Simon Kornblith ... Raphael Gontijo-Lopes Hannaneh Hajishirzi Ali Farhadi Hongseok Namkoong Ludwig Schmidt VLM 114 721 0 04 Sep 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding Xinming Zhang Ningning Ma Jungong Han Guiguang Ding Jian Sun 245 1,583 0 11 Jan 2021
Improving Auto-Augment via Augmentation-Wise Weight Sharing Keyu Tian Chen Lin Ming Sun Luping Zhou Junjie Yan Wanli Ouyang 53 48 0 30 Sep 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 135 491 0 17 Feb 2020
How Can We Know What Language Models Know? Zhengbao Jiang Frank F. Xu Jun Araki Graham Neubig KELM 123 1,402 0 28 Nov 2019
Model Fusion via Optimal Transport Sidak Pal Singh Martin Jaggi MoMe FedML 92 232 0 12 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 208 3,480 0 30 Sep 2019
Learning Data Augmentation Strategies for Object Detection Barret Zoph E. D. Cubuk Golnaz Ghiasi Nayeon Lee Jonathon Shlens Quoc V. Le 78 531 0 26 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 129 18,058 0 28 May 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation Linfeng Zhang Jiebo Song Anni Gao Jingwei Chen Chenglong Bao Kaisheng Ma FedML 60 857 0 17 May 2019
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 169 19,204 0 13 Jan 2018
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 397 43,589 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.3K 100,213 0 04 Sep 2014