Stochastic Iterative Graph Matching

4 June 2021

Papers citing "Stochastic Iterative Graph Matching"

22 / 22 papers shown

Title
Iterative Amortized Policy Optimization Joseph Marino Alexandre Piché Alessandro Davide Ialongo Yisong Yue OffRL 89 21 0 20 Oct 2020
Gradient Estimation with Stochastic Softmax Tricks Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 53 85 0 15 Jun 2020
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers Michal Rolínek Paul Swoboda Dominik Zietlow Anselm Paulus Vít Musil Georg Martius 36 113 0 25 Mar 2020
IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval Hui Chen Guiguang Ding Xudong Liu Zijia Lin Ji Liu Jungong Han 45 319 0 08 Mar 2020
Deep Graph Matching Consensus Matthias Fey J. E. Lenssen Christopher Morris Jonathan Masci Nils M. Kriege 50 210 0 27 Jan 2020
SPair-71k: A Large-scale Benchmark for Semantic Correspondence Juhong Min Jongmin Lee Jean Ponce Minsu Cho 39 129 0 28 Aug 2019
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network Kun Xu Liwei Wang Mo Yu Yansong Feng Yan Song Zhiguo Wang Dong Yu 54 236 0 28 May 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu Dixin Luo Lawrence Carin 42 192 0 18 May 2019
Learning Combinatorial Embedding Networks for Deep Graph Matching Runzhong Wang Junchi Yan Xiaokang Yang 32 236 0 01 Apr 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 312 8,441 0 03 Jan 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 148 7,554 0 01 Oct 2018
Iterative Amortized Inference Joseph Marino Yisong Yue Stephan Mandt BDL DRL 48 166 0 24 Jul 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks Gonzalo E. Mena David Belanger Scott W. Linderman Jasper Snoek 66 267 0 23 Feb 2018
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels Matthias Fey J. E. Lenssen F. Weichert H. Müller 3DPC 102 440 0 24 Nov 2017
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference Scott W. Linderman Gonzalo E. Mena H. Cooper Liam Paninski John P. Cunningham 52 50 0 26 Oct 2017
On the challenges of learning with inference networks on sparse, high-dimensional data Rahul G. Krishnan Dawen Liang Matthew Hoffman CML BDL 53 85 0 17 Oct 2017
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 142 4,772 0 17 Mar 2017
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 111 2,523 0 02 Nov 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 82 2,000 0 14 Jun 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 808 149,474 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 928 99,991 0 04 Sep 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 360 16,962 0 20 Dec 2013