Meta Knowledge Distillation

16 February 2022

Papers citing "Meta Knowledge Distillation"

35 / 35 papers shown

Title
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 454 7,739 0 11 Nov 2021
Isotonic Data Augmentation for Knowledge Distillation Wanyun Cui Sen Yan 54 7 0 03 Jul 2021
Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation Zhiwei Hao Jianyuan Guo Ding Jia Kai Han Yehui Tang Chao Zhang Dacheng Tao Yunhe Wang ViT 76 71 0 03 Jul 2021
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers Andreas Steiner Alexander Kolesnikov Xiaohua Zhai Ross Wightman Jakob Uszkoreit Lucas Beyer ViT 107 632 0 18 Jun 2021
BEiT: BERT Pre-Training of Image Transformers Hangbo Bao Li Dong Songhao Piao Furu Wei ViT 258 2,824 0 15 Jun 2021
Knowledge distillation: A good teacher is patient and consistent Lucas Beyer Xiaohua Zhai Amelie Royer L. Markeeva Rohan Anil Alexander Kolesnikov VLM 107 295 0 09 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 674 6,066 0 29 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers Xinlei Chen Saining Xie Kaiming He ViT 154 1,862 0 05 Apr 2021
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study Zhiqiang Shen Zechun Liu Dejia Xu Zitian Chen Kwang-Ting Cheng Marios Savvides 43 76 0 01 Apr 2021
Going deeper with Image Transformers Hugo Touvron Matthieu Cord Alexandre Sablayrolles Gabriel Synnaeve Hervé Jégou ViT 154 1,014 0 31 Mar 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 377 6,762 0 23 Dec 2020
Meta-Learning with Adaptive Hyperparameters Sungyong Baik Myungsub Choi Janghoon Choi Heewon Kim Kyoung Mu Lee 66 125 0 31 Oct 2020
An Empirical Analysis of the Impact of Data Augmentation on Knowledge Distillation Deepan Das Haley Massa Abhimanyu Kulkarni Theodoros Rekatsinas 46 18 0 06 Jun 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 335 669 0 23 Mar 2020
Contrastive Representation Distillation Yonglong Tian Dilip Krishnan Phillip Isola 144 1,049 0 23 Oct 2019
On the Efficacy of Knowledge Distillation Ligang He Rui Mao 94 609 0 03 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 221 3,485 0 30 Sep 2019
Adaptive Gradient-Based Meta-Learning Methods M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 83 355 0 06 Jun 2019
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 191 1,945 0 06 Jun 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 609 4,778 0 13 May 2019
Variational Information Distillation for Knowledge Transfer SungSoo Ahn S. Hu Andreas C. Damianou Neil D. Lawrence Zhenwen Dai 89 620 0 11 Apr 2019
Relational Knowledge Distillation Wonpyo Park Dongju Kim Yan Lu Minsu Cho 65 1,412 0 10 Apr 2019
Improved Knowledge Distillation via Teacher Assistant Seyed Iman Mirzadeh Mehrdad Farajtabar Ang Li Nir Levine Akihiro Matsukawa H. Ghasemzadeh 92 1,075 0 09 Feb 2019
Meta-Gradient Reinforcement Learning Zhongwen Xu H. V. Hasselt David Silver 107 324 0 24 May 2018
Paraphrasing Complex Network: Network Compression via Factor Transfer Jangho Kim Seonguk Park Nojun Kwak 69 550 0 14 Feb 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 278 9,760 0 25 Oct 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning Zhenguo Li Fengwei Zhou Fei Chen Hang Li 94 1,119 0 31 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 687 131,526 0 12 Jun 2017
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer Sergey Zagoruyko N. Komodakis 118 2,579 0 12 Dec 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 410 10,482 0 21 Jul 2016
Deep Networks with Stochastic Depth Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger 212 2,356 0 30 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 878 27,358 0 02 Dec 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 344 19,643 0 09 Mar 2015
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 303 3,883 0 19 Dec 2014