Diffusion Mechanism in Residual Neural Network: Theory and Applications

7 May 2021

Zehao Dou

Papers citing "Diffusion Mechanism in Residual Neural Network: Theory and Applications"

26 / 26 papers shown

Title
GRAND: Graph Neural Diffusion B. Chamberlain J. Rowbottom Maria I. Gorinova Stefan Webb Emanuele Rossi M. Bronstein GNN 109 265 0 21 Jun 2021
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 108 1,483 0 04 Jul 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 4,070 0 17 Jun 2020
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 62 167 0 06 Jun 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification Pau Rodríguez I. Laradji Alexandre Drouin Alexandre Lacoste 58 196 0 09 Mar 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 153 3,545 0 21 Jan 2020
Continuous Graph Neural Networks Louis-Pascal Xhonneux Meng Qu Jian Tang GNN 84 153 0 02 Dec 2019
Prototype Rectification for Few-Shot Learning Jinlu Liu Liang Song Yongqiang Qin 70 248 0 25 Nov 2019
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning Yan Wang Wei-Lun Chao Kilian Q. Weinberger Laurens van der Maaten VLM 69 339 0 12 Nov 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 123 704 0 28 Oct 2019
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 254 638 0 17 Oct 2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning Limeng Qiao Yemin Shi Jia Li Yaowei Wang Tiejun Huang Yonghong Tian 67 182 0 05 Oct 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 83 1,809 0 10 Apr 2019
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 122 663 0 10 Dec 2018
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data Yuanzhi Li Yingyu Liang MLT 210 653 0 03 Aug 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 373 5,081 0 19 Jun 2018
DifNet: Semantic Segmentation by Diffusion Networks Peng-Tao Jiang Fanglin Gu Yunhai Wang Changhe Tu Baoquan Chen DiffM SSeg 72 36 0 21 May 2018
Dynamic Few-Shot Visual Learning without Forgetting Spyros Gidaris N. Komodakis VLM 59 1,129 0 25 Apr 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 180 2,820 0 22 Jan 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 271 4,047 0 16 Nov 2017
Few-Shot Learning with Graph Neural Networks Victor Garcia Satorras Joan Bruna GNN 167 1,239 0 10 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 806 11,866 0 09 Mar 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 181 2,552 0 07 Oct 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 349 7,316 0 13 Jun 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 324 7,971 0 23 May 2016
Deep Networks with Stochastic Depth Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger 203 2,352 0 30 Mar 2016