Order Matters: Sequence to sequence for sets

19 November 2015

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

50 / 152 papers shown

Title
One model Packs Thousands of Items with Recurrent Conditional Query Learning Dongda Li Zhaoquan Gu Yuexuan Wang Changwei Ren F. Lau 27 17 0 12 Nov 2021
Predictive Machine Learning of Objective Boundaries for Solving COPs Helge Spieker A. Gotlieb 13 0 0 04 Nov 2021
A Variational Graph Autoencoder for Manipulation Action Recognition and Prediction Gamze Akyol Sanem Sariel E. Aksoy GNN DRL BDL 41 2 0 25 Oct 2021
Understanding Pooling in Graph Neural Networks Daniele Grattarola Daniele Zambon F. Bianchi Cesare Alippi GNN FAtt AI4CE 30 90 0 11 Oct 2021
Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning Jingwen Li Liang Xin Zhiguang Cao Andrew Lim Wen Song Jie Zhang 70 85 0 06 Oct 2021
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem Jingwen Li Yining Ma Ruize Gao Zhiguang Cao Andrew Lim Wen Song Jie Zhang 129 115 0 06 Oct 2021
Molformer: Motif-based Transformer on 3D Heterogeneous Molecular Graphs Fang Wu Dragomir R. Radev Huabin Xing ViT 36 54 0 04 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 130 78 0 01 Oct 2021
Chemical-Reaction-Aware Molecule Representation Learning Hongwei Wang Weijian Li Xiaomeng Jin Kyunghyun Cho Heng Ji Jiawei Han Martin D. Burke 107 56 0 21 Sep 2021
RaWaNet: Enriching Graph Neural Network Input via Random Walks on Graphs Anahita Iravanizad E. Medina Martin Stoll GNN 36 1 0 15 Sep 2021
Pooling Architecture Search for Graph Classification Lan Wei Huan Zhao Quanming Yao Zhiqiang He AI4CE 16 72 0 24 Aug 2021
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers Xumin Yu Yongming Rao Ziyi Wang Zuyan Liu Jiwen Lu Jie Zhou ViT 39 427 0 19 Aug 2021
Learning Indoor Layouts from Simple Point-Clouds Md. Tareq Mahmood Mohammed Eunus Ali 3DV 3DPC 11 2 0 07 Aug 2021
Generative Video Transformer: Can Objects be the Words? Yi-Fu Wu Jaesik Yoon Sungjin Ahn ViT 32 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 26 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 22 48 0 06 Jun 2021
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision Felix Petersen Christian Borgelt Hilde Kuehne Oliver Deussen 18 30 0 09 May 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 29 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 Bin Chen Juzhan Xu Oliver Matias van Kaick Oliver Deussen Hui Huang 19 6 0 03 Mar 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling Jinheon Baek Minki Kang Sung Ju Hwang 36 172 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 24 15 0 25 Oct 2020
Set Prediction without Imposing Structure as Conditional Density Estimation David W. Zhang Gertjan J. Burghouts Cees G. M. Snoek 51 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
A Reinforcement Learning Approach for Rebalancing Electric Vehicle Sharing Systems Aigerim Bogyrbayeva Sungwook Jang Ankit Shah Y. Jang C. Kwon OffRL 11 30 0 05 Oct 2020
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning Yuning Mao Yanru Qu Yiqing Xie Xiang Ren Jiawei Han AI4TS 15 46 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
Contrastive Self-supervised Learning for Graph Classification Jiaqi Zeng P. Xie SSL 33 153 0 13 Sep 2020
Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures Daniel Furrer Marc van Zee Nathan Scales Nathanael Scharli CoGe 26 113 0 17 Jul 2020
Conditional Set Generation with Transformers Adam R. Kosiorek Hyunjik Kim Danilo Jimenez Rezende 24 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 36 136 0 25 Jun 2020
Self-supervised edge features for improved Graph Neural Network training Arijit Sehanobish N. Ravindra David van Dijk SSL 18 6 0 23 Jun 2020
Categorical Normalizing Flows via Continuous Transformations Phillip Lippe E. Gavves BDL 21 43 0 17 Jun 2020
A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss Hou Pong Chan Wang Chen Irwin King VLM 24 29 0 02 Jun 2020
End-to-End Object Detection with Transformers Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 125 12,691 0 26 May 2020
Principal Neighbourhood Aggregation for Graph Nets Gabriele Corso Luca Cavalleri Dominique Beaini Pietro Lio Petar Velickovic GNN 27 651 0 12 Apr 2020
Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks Yufan Zhao Can Xu Wei Wu Lei Yu 32 28 0 04 Apr 2020
Compact Deep Aggregation for Set Retrieval Yujie Zhong Relja Arandjelović Andrew Zisserman CVBM 3DH 29 14 0 26 Mar 2020
A-TVSNet: Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation Sizhang Dai Weibing Huang 27 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 19 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 18 106 0 15 Feb 2020
Graph Deconvolutional Generation Daniel Flam-Shepherd Tony C Wu Alán Aspuru-Guzik BDL 28 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