Circumventing Outliers of AutoAugment with Knowledge Distillation

Circumventing Outliers of AutoAugment with Knowledge Distillation

25 March 2020

Papers citing "Circumventing Outliers of AutoAugment with Knowledge Distillation"

17 / 17 papers shown

Title
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image Classification Omar S. El-Assiouti Ghada Hamed Dina Khattab H. M. Ebied 35 1 0 10 Jul 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 62 5 0 13 Mar 2024
Co-training $2^L$ Submodels for Visual Recognition Hugo Touvron Matthieu Cord Maxime Oquab Piotr Bojanowski Jakob Verbeek Hervé Jégou VLM 29 9 0 09 Dec 2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers Tao Tang Changlin Li Guangrun Wang Kaicheng Yu Xiaojun Chang Xiaodan Liang ViT 23 1 0 16 Oct 2022
Pose Uncertainty Aware Movement Synchrony Estimation via Spatial-Temporal Graph Transformer Jicheng Li Anjana Bhat R. Barmaki ViT 27 5 0 01 Aug 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks Z. Yang Richard Sinnott James Bailey Qiuhong Ke 20 39 0 14 Jun 2022
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks Bin Hu Yu Sun •. A. K. Qin AI4CE 28 0 0 29 May 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation Chenyang Wang Junjun Jiang Xiong Zhou Xianming Liu 32 3 0 25 May 2022
Source Domain Subset Sampling for Semi-Supervised Domain Adaptation in Semantic Segmentation Daehan Kim Min-seok Seo Jinsun Park Dong-Geol Choi TTA 32 3 0 30 Apr 2022
Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results T. Ridnik Hussam Lawen Emanuel Ben-Baruch Asaf Noy 38 11 0 07 Apr 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge Teppei Suzuki ViT 18 48 0 25 Feb 2022
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture Kaichen Zhou Lanqing Hong Shuailiang Hu Fengwei Zhou Binxin Ru Jiashi Feng Zhenguo Li 54 10 0 13 Sep 2021
BasisNet: Two-stage Model Synthesis for Efficient Inference Mingda Zhang Chun-Te Chu A. Zhmoginov Andrew G. Howard Brendan Jou Yukun Zhu Li Zhang R. Hwa Adriana Kovashka 3DH 26 7 0 07 May 2021
KeepAugment: A Simple Information-Preserving Data Augmentation Approach Chengyue Gong Dilin Wang Meng Li Vikas Chandra Qiang Liu 25 113 0 23 Nov 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization Pierre Foret Ariel Kleiner H. Mobahi Behnam Neyshabur AAML 28 1,276 0 03 Oct 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016