Order Matters: Sequence to sequence for sets

19 November 2015

Papers citing "Order Matters: Sequence to sequence for sets"

50 / 129 papers shown

Title
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 130 78 0 01 Oct 2021
RaWaNet: Enriching Graph Neural Network Input via Random Walks on Graphs Anahita Iravanizad E. Medina Martin Stoll GNN 28 1 0 15 Sep 2021
Pooling Architecture Search for Graph Classification Lan Wei Huan Zhao Quanming Yao Zhiqiang He AI4CE 16 71 0 24 Aug 2021
Generative Video Transformer: Can Objects be the Words? Yi-Fu Wu Jaesik Yoon Sungjin Ahn ViT 29 34 0 20 Jul 2021
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals Andac Demir T. Koike-Akino Ye Wang M. Haruna Deniz Erdogmus 7 66 0 16 Jun 2021
Learning to Pool in Graph Neural Networks for Extrapolation Jihoon Ko Taehyung Kwon Kijung Shin Juho Lee 21 6 0 11 Jun 2021
Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning Ximing Zhang Qian-Wen Zhang Zhao Yan Ruifang Liu Yunbo Cao 20 48 0 06 Jun 2021
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning Ning Liu Songlei Jian Dongsheng Li Yiming Zhang Zhiquan Lai Hongzuo Xu 26 30 0 13 Apr 2021
Multi-view 3D Reconstruction with Transformer Dan Wang Xinrui Cui Xun Chen Zhengxia Zou Tianyang Shi Septimiu Salcudean Z. J. Wang Rabab Ward ViT 22 87 0 24 Mar 2021
Shape-driven Coordinate Ordering for Star Glyph Sets via Reinforcement Learning Ruizhen Hu B. Chen Juzhan Xu Oliver Matias van Kaick Oliver Deussen Hui Huang 17 6 0 03 Mar 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling Jinheon Baek Minki Kang Sung Ju Hwang 33 172 0 23 Feb 2021
Efficient Graph Deep Learning in TensorFlow with tf_geometric Jun Hu Shengsheng Qian Quan Fang Youze Wang Quan Zhao Huaiwen Zhang Changsheng Xu GNN 31 53 0 27 Jan 2021
Interpretable Graph Capsule Networks for Object Recognition Jindong Gu Volker Tresp FAtt 19 36 0 03 Dec 2020
Regularizing Towards Permutation Invariance in Recurrent Models Edo Cohen-Karlik Avichai Ben David Amir Globerson OOD 16 15 0 25 Oct 2020
Set Prediction without Imposing Structure as Conditional Density Estimation David W. Zhang Gertjan J. Burghouts Cees G. M. Snoek 48 17 0 08 Oct 2020
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays Jianmo Ni Chun-Nan Hsu Amilcare Gentili Julian McAuley MedIm 24 30 0 06 Oct 2020
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning Yuning Mao Yanru Qu Yiqing Xie Xiang Ren Jiawei Han AI4TS 15 45 0 30 Sep 2020
Information Obfuscation of Graph Neural Networks Peiyuan Liao Han Zhao Keyulu Xu Tommi Jaakkola Geoffrey J. Gordon Stefanie Jegelka Ruslan Salakhutdinov AAML 23 34 0 28 Sep 2020
Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures Daniel Furrer Marc van Zee Nathan Scales Nathanael Scharli CoGe 15 113 0 17 Jul 2020
Conditional Set Generation with Transformers Adam R. Kosiorek Hyunjik Kim Danilo Jimenez Rezende 19 40 0 26 Jun 2020
LayoutTransformer: Layout Generation and Completion with Self-attention Kamal Gupta Justin Lazarow Alessandro Achille Larry S. Davis Vijay Mahadevan Abhinav Shrivastava ViT 28 136 0 25 Jun 2020
Self-supervised edge features for improved Graph Neural Network training Arijit Sehanobish N. Ravindra David van Dijk SSL 15 6 0 23 Jun 2020
Categorical Normalizing Flows via Continuous Transformations Phillip Lippe E. Gavves BDL 18 43 0 17 Jun 2020
End-to-End Object Detection with Transformers Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 104 12,676 0 26 May 2020
Principal Neighbourhood Aggregation for Graph Nets Gabriele Corso Luca Cavalleri Dominique Beaini Pietro Lió Petar Velickovic GNN 27 650 0 12 Apr 2020
Compact Deep Aggregation for Set Retrieval Yujie Zhong Relja Arandjelović Andrew Zisserman CVBM 3DH 26 14 0 26 Mar 2020
A-TVSNet: Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation Sizhang Dai Weibing Huang 22 2 0 02 Mar 2020
Assessing Graph-based Deep Learning Models for Predicting Flash Point Xiaoyu Sun Nathaniel J. Krakauer A. Politowicz Wei-Ting Chen Qiying Li ... Xianjia Shao Alfred Sunaryo Mingren Shen James Wang D. Morgan 11 20 0 26 Feb 2020
Neural Message Passing on High Order Paths Daniel Flam-Shepherd Tony C Wu Pascal Friederich Alán Aspuru-Guzik GNN AI4CE 24 49 0 24 Feb 2020
Memory-Based Graph Networks Amir Hosein Khas Ahmadi Kaveh Hassani Parsa Moradi Leo Lee Q. Morris GNN 29 90 0 21 Feb 2020
On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 30 132 0 20 Feb 2020
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery Michel Deudon Alfredo Kalaitzis Israel Goytom Md Rifat Arefin Zhichao Lin Kris Sankaran Vincent Michalski Samira Ebrahimi Kahou Julien Cornebise Yoshua Bengio SupR 18 105 0 15 Feb 2020
Graph Deconvolutional Generation Daniel Flam-Shepherd Tony C Wu Alán Aspuru-Guzik BDL 25 31 0 14 Feb 2020
Structure-Feature based Graph Self-adaptive Pooling Liang Zhang Xudong Wang Hongsheng Li Guangming Zhu Peiyi Shen P. Li Xiaoyuan Lu Syed Afaq Ali Shah Bennamoun 26 62 0 30 Jan 2020
Learn to Predict Sets Using Feed-Forward Neural Networks H. Rezatofighi Tianyu Zhu Roman Kaskman F. Motlagh Javen Qinfeng Shi Anton Milan Daniel Cremers Laura Leal-Taixé Ian Reid SSL 61 15 0 30 Jan 2020
Efficient and Stable Graph Scattering Transforms via Pruning V. Ioannidis Siheng Chen G. Giannakis 25 11 0 27 Jan 2020
Learning Improvement Heuristics for Solving Routing Problems Yaoxin Wu Wen Song Zhiguang Cao Jie M. Zhang Andrew Lim 31 281 0 12 Dec 2019
Unsupervised Attributed Multiplex Network Embedding Chanyoung Park Donghyun Kim Jiawei Han Hwanjo Yu 27 249 0 15 Nov 2019
Hierarchical Graph Pooling with Structure Learning Zhen Zhang Jiajun Bu Martin Ester Jianfeng Zhang Chengwei Yao Zhi Yu Can Wang 30 174 0 14 Nov 2019
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks A. Mazari H. Sahbi GNN 26 5 0 15 Oct 2019
Set Functions for Time Series Max Horn Michael Moor Christian Bock Bastian Alexander Rieck Karsten M. Borgwardt AI4TS 27 145 0 26 Sep 2019
Graph Representation Learning via Hard and Channel-Wise Attention Networks Hongyang Gao Shuiwang Ji GNN 17 57 0 05 Jul 2019
Deep Set Prediction Networks Yan Zhang Jonathon S. Hare Adam Prugel-Bennett 17 107 0 15 Jun 2019
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization Pengfei Chen Weiwen Liu Chang-Yu Hsieh Guangyong Chen Shengyu Zhang 17 21 0 13 Jun 2019
Discrete Flows: Invertible Generative Models of Discrete Data Dustin Tran Keyon Vafa Kumar Krishna Agrawal Laurent Dinh Ben Poole DRL 24 114 0 24 May 2019
Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction Kosuke Nishida Kyosuke Nishida Masaaki Nagata Atsushi Otsuka Itsumi Saito Hisako Asano J. Tomita RALM 11 102 0 21 May 2019
Improving Discrete Latent Representations With Differentiable Approximation Bridges Jason Ramapuram Russ Webb DRL 11 9 0 09 May 2019
Graph Convolutional Networks with EigenPooling Yao Ma Suhang Wang Charu C. Aggarwal Jiliang Tang GNN 37 331 0 30 Apr 2019
Rep the Set: Neural Networks for Learning Set Representations Konstantinos Skianis Giannis Nikolentzos Stratis Limnios Michalis Vazirgiannis OCL 11 45 0 03 Apr 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 68 4,230 0 06 Mar 2019