Partial Graph Reasoning for Neural Network Regularization

Partial Graph Reasoning for Neural Network Regularization

3 June 2021

Weidong (Tom) Cai

Papers citing "Partial Graph Reasoning for Neural Network Regularization"

16 / 16 papers shown

Title
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 277 2,725 0 02 May 2020
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks Yehui Tang Yunhe Wang Yixing Xu Boxin Shi Chao Xu Chunjing Xu Chang Xu 37 38 0 23 Feb 2020
DropCluster: A structured dropout for convolutional networks Liyang Chen P. Gautier Sergul Aydore 47 11 0 07 Feb 2020
Learning From Brains How to Regularize Machines Zhe Li Wieland Brendel Edgar Y. Walker Erick Cobos Taliah Muhammad Jacob Reimer Matthias Bethge Fabian H. Sinz Xaq Pitkow A. Tolias OOD AAML 53 62 0 11 Nov 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 604 4,766 0 13 May 2019
Relation-Shape Convolutional Neural Network for Point Cloud Analysis Yongcheng Liu Bin Fan Shiming Xiang Chunhong Pan 3DPC 92 892 0 16 Apr 2019
Graph-Based Global Reasoning Networks Yunpeng Chen Marcus Rohrbach Zhicheng Yan Shuicheng Yan Jiashi Feng Yannis Kalantidis GNN NAI 299 459 0 30 Nov 2018
Batch DropBlock Network for Person Re-identification and Beyond Zuozhuo Dai Mingqiang Chen Xiaodong Gu Siyu Zhu Ping Tan OOD 49 247 0 17 Nov 2018
DropBlock: A regularization method for convolutional networks Golnaz Ghiasi Nayeon Lee Quoc V. Le 105 914 0 30 Oct 2018
Attention U-Net: Learning Where to Look for the Pancreas Ozan Oktay Jo Schlemper Loic Le Folgoc M. J. Lee M. Heinrich ... Jingyu Sun Nils Y. Hammerla Bernhard Kainz Ben Glocker Daniel Rueckert SSeg 145 5,018 0 11 Apr 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 251 6,132 0 24 Jan 2018
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 170 5,595 0 21 Jul 2017
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 204 8,455 0 17 Jun 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 446 14,264 0 02 Dec 2016
Deep Networks with Stochastic Depth Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger 191 2,352 0 30 Mar 2016
Dropout Training as Adaptive Regularization Stefan Wager Sida I. Wang Percy Liang 123 599 0 04 Jul 2013