Title
Modelling Identity Rules with Neural Networks Tillman Weyde R. Kopparti 38 9 0 06 Dec 2018
Auto-Encoding Scene Graphs for Image Captioning Xu Yang Kaihua Tang Hanwang Zhang Jianfei Cai 172 701 0 06 Dec 2018
Spatio-Temporal Action Graph Networks Roei Herzig Elad Levi Huijuan Xu Hang Gao Eli Brosh Xiaolong Wang Amir Globerson Trevor Darrell GNN 69 20 0 04 Dec 2018
That's Mine! Learning Ownership Relations and Norms for Robots Zong Xuan Tan Jake Brawer B. Scassellati 33 11 0 02 Dec 2018
Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects Hila Levi S. Ullman ObjD 71 14 0 29 Nov 2018
Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking Tianlin Li Chenglong Li Rui Yang Tianzhu Zhang Jin Tang Bin Luo 85 30 0 25 Nov 2018
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules Boris Knyazev Xiao Lin Mohamed R. Amer Graham W. Taylor GNN 67 31 0 23 Nov 2018
Contextualized Non-local Neural Networks for Sequence Learning Pengfei Liu Shuaichen Chang Xuanjing Huang Jian Tang Jackie C.K. Cheung 57 47 0 21 Nov 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 124 420 0 19 Nov 2018
Uncertainty quantification of molecular property prediction using Bayesian neural network models Seongok Ryu Yongchan Kwon W. Kim BDL 30 2 0 19 Nov 2018
Hierarchical Bipartite Graph Convolution Networks Marcel Nassar GNN 33 18 0 17 Nov 2018
Data-Efficient Graph Embedding Learning for PCB Component Detection Chia-Wen Kuo Jacob Ashmore David Huggins Z. Kira 28 47 0 16 Nov 2018
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning R. Ooi Chao-Han Huck Yang Pin-Yu Chen V. Eguíluz N. Kiani Hector Zenil D. Gómez-Cabrero Jesper N. Tegnér 54 1 0 14 Nov 2018
Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks Guillaume Jaume Behzad Bozorgtabar H. K. Ekenel Jean-Philippe Thiran M. Gabrani 51 2 0 09 Nov 2018
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties David Tellez G. Litjens J. A. van der Laak R. Tavenard F. Ciompi OT 99 129 0 07 Nov 2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Yun Liang 129 193 0 05 Nov 2018
Towards Sparse Hierarchical Graph Classifiers Cătălina Cangea Petar Velickovic Nikola Jovanović Thomas Kipf Pietro Lio GNN 207 260 0 03 Nov 2018
Modeling Attention Flow on Graphs Xiaoran Xu Songpeng Zu Chengliang Gao Yuan Zhang Wei Feng GNN 76 11 0 01 Nov 2018
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications Nathanael Perraudin M. Defferrard T. Kacprzak R. Sgier 102 172 0 29 Oct 2018
Deep learning long-range information in undirected graphs with wave networks Matthew K. Matlock Arghya Datta N. Dang Kevin Jiang S. Joshua Swamidass GNN 57 15 0 29 Oct 2018
Learning sparse relational transition models Victoria Xia Zi Wang L. Kaelbling 104 23 0 26 Oct 2018
Meta-modeling game for deriving theoretical-consistent, micro-structural-based traction-separation laws via deep reinforcement learning Kun Wang WaiChing Sun 64 112 0 24 Oct 2018
Streaming Graph Neural Networks Yao Ma Ziyi Guo Zhaochun Ren Eric Zhao Jiliang Tang Dawei Yin GNN 71 239 0 24 Oct 2018
Deep Graph Convolutional Encoders for Structured Data to Text Generation Diego Marcheggiani Laura Perez-Beltrachini GNN 55 122 0 23 Oct 2018
Open Vocabulary Learning on Source Code with a Graph-Structured Cache Milan Cvitkovic Badal Singh Anima Anandkumar 71 50 0 18 Oct 2018
Investigating Object Compositionality in Generative Adversarial Networks Sjoerd van Steenkiste Karol Kurach Jürgen Schmidhuber Sylvain Gelly GAN OCL 89 20 0 17 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 187 144 0 15 Oct 2018
The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs Boris Ivanovic Marco Pavone 42 1 0 14 Oct 2018
Learning Scheduling Algorithms for Data Processing Clusters Hongzi Mao Malte Schwarzkopf S. Venkatakrishnan Zili Meng Mohammad Alizadeh OffRL 90 651 0 03 Oct 2018
Relational Forward Models for Multi-Agent Learning Andrea Tacchetti H. F. Song P. Mediano V. Zambaldi Neil C. Rabinowitz T. Graepel M. Botvinick Peter W. Battaglia AI4CE 78 79 0 28 Sep 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 132 2,403 0 27 Sep 2018
Graph Convolutional Networks for Text Classification Liang Yao Chengsheng Mao Yuan Luo GNN 123 1,833 0 15 Sep 2018
Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network Pedro H. C. Avelar Henrique Lemos Marcelo O. R. Prates Luís C. Lamb 63 18 0 11 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal Jean Ogier du Terrail F. Jurie ObjD 151 124 0 10 Sep 2018
Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP Marcelo O. R. Prates Pedro H. C. Avelar Henrique Lemos Luís C. Lamb Moshe Y. Vardi GNN 74 179 0 08 Sep 2018
HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs N. Yadati M. Nimishakavi Prateek Yadav Vikram Nitin Anand Louis Partha P. Talukdar GNN 171 37 0 07 Sep 2018
Learning Visual Question Answering by Bootstrapping Hard Attention Mateusz Malinowski Carl Doersch Adam Santoro Peter W. Battaglia OOD 87 96 0 01 Aug 2018
Message-passing neural networks for high-throughput polymer screening Peter C. St. John Caleb Phillips Travis W. Kemper A. N. Wilson M. Crowley M. Nimlos R. Larsen AI4CE 82 112 0 26 Jul 2018
Beyond Heuristics: Learning Visualization Design Bahador Saket Dominik Moritz Halden Lin Victor C. Dibia Çağatay Demiralp Jeffrey Heer 81 37 0 17 Jul 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas Griffiths 83 70 0 12 Jul 2018
Amanuensis: The Programmer's Apprentice Thomas Dean Maurice Chiang Marcus Gomez Nate Gruver Yousef Hindy ... S. Sanchez Rohun Saxena Michael Smith Lucy Wang Catherine Wong 33 3 0 29 Jun 2018
Modular meta-learning Ferran Alet Tomás Lozano-Pérez L. Kaelbling OffRL 78 122 0 26 Jun 2018
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations Zhilin Yang Jiaqi Zhao Bhuwan Dhingra Kaiming He William W. Cohen Ruslan Salakhutdinov Yann LeCun 70 36 0 14 Jun 2018
Relational Deep Reinforcement Learning V. Zambaldi David Raposo Adam Santoro V. Bapst Yujia Li ... Victoria Langston Razvan Pascanu M. Botvinick Oriol Vinyals Peter W. Battaglia OffRL 173 222 0 05 Jun 2018
Optimal Transport for structured data with application on graphs Titouan Vayer Laetitia Chapel Rémi Flamary R. Tavenard Nicolas Courty OT 84 275 0 23 May 2018
DeepLogic: Towards End-to-End Differentiable Logical Reasoning Nuri Cingillioglu A. Russo NAI LRM 64 18 0 18 May 2018
Structured Label Inference for Visual Understanding Nelson Nauata Hexiang Hu Guang-Tong Zhou Zhiwei Deng Zicheng Liao Greg Mori BDL VLM 72 23 0 18 Feb 2018
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker Matej Moravcík Martin Schmid Neil Burch Viliam Lisý Dustin Morrill Nolan Bard Trevor Davis Kevin Waugh Michael Bradley Johanson Michael Bowling BDL 231 913 0 06 Jan 2017