Domain-Agnostic Clustering with Self-Distillation

23 November 2021

Papers citing "Domain-Agnostic Clustering with Self-Distillation"

27 / 27 papers shown

Title
ScaleNet: An Unsupervised Representation Learning Method for Limited Information Huili Huang M. M. Roozbahani SSL 93 805 0 03 Oct 2023
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation Yaling Tao Kentaro Takagi Kouta Nakata 31 92 0 31 May 2021
Representation Learning for Clustering via Building Consensus A. Deshmukh Jayanth Reddy Regatti Eren Manavoglu Ürün Dogan SSL 35 9 0 04 May 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 300 2,343 0 04 Mar 2021
Towards Domain-Agnostic Contrastive Learning Vikas Verma Minh-Thang Luong Kenji Kawaguchi Hieu H. Pham Quoc V. Le SSL 62 119 0 09 Nov 2020
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 99 64 0 14 Oct 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 215 4,073 0 17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 353 6,792 0 13 Jun 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 62 2,946 0 09 Jun 2020
Self-Distillation as Instance-Specific Label Smoothing Zhilu Zhang M. Sabuncu 64 119 0 09 Jun 2020
Self-Distillation Amplifies Regularization in Hilbert Space H. Mobahi Mehrdad Farajtabar Peter L. Bartlett 64 234 0 13 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 345 18,739 0 13 Feb 2020
ClusterFit: Improving Generalization of Visual Representations Xueting Yan Ishan Misra Abhinav Gupta Deepti Ghadiyaram D. Mahajan SSL VLM 102 133 0 06 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 185 12,073 0 13 Nov 2019
Learning Lightweight Lane Detection CNNs by Self Attention Distillation Yuenan Hou Zheng Ma Chunxiao Liu Chen Change Loy 62 557 0 02 Aug 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 60 860 0 17 May 2019
Snapshot Distillation: Teacher-Student Optimization in One Generation Chenglin Yang Lingxi Xie Chi Su Alan Yuille 64 193 0 01 Dec 2018
Data Augmentation using Random Image Cropping and Patching for Deep CNNs Ryo Takahashi Takashi Matsubara K. Uehara 58 330 0 22 Nov 2018
Self-Referenced Deep Learning Xu Lan Xiatian Zhu S. Gong 104 24 0 19 Nov 2018
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 54 144 0 11 Jun 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 249 3,289 0 21 Mar 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 273 9,759 0 25 Oct 2017
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 163 2,979 0 30 Mar 2016
Colorful Image Colorization Richard Y. Zhang Phillip Isola Alexei A. Efros 124 36 0 28 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 333 19,634 0 09 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014