Title
Deep Graph Convolutional Encoders for Structured Data to Text Generation Diego Marcheggiani Laura Perez-Beltrachini GNN 14 121 0 23 Oct 2018
Open Vocabulary Learning on Source Code with a Graph-Structured Cache Milan Cvitkovic Badal Singh Anima Anandkumar 13 50 0 18 Oct 2018
Investigating Object Compositionality in Generative Adversarial Networks Sjoerd van Steenkiste Karol Kurach Jürgen Schmidhuber Sylvain Gelly GAN OCL 27 20 0 17 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 23 144 0 15 Oct 2018
The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs B. Ivanovic Marco Pavone 19 1 0 14 Oct 2018
Learning Scheduling Algorithms for Data Processing Clusters Hongzi Mao Malte Schwarzkopf S. Venkatakrishnan Zili Meng Mohammad Alizadeh OffRL 13 635 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 8 76 0 28 Sep 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lió Yoshua Bengio R. Devon Hjelm GNN 16 2,337 0 27 Sep 2018
Graph Convolutional Networks for Text Classification Liang Yao Chengsheng Mao Yuan Luo GNN 14 1,807 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 37 17 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 16 122 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 30 175 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 10 37 0 07 Sep 2018
Learning Visual Question Answering by Bootstrapping Hard Attention Mateusz Malinowski Carl Doersch Adam Santoro Peter W. Battaglia OOD 19 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 11 110 0 26 Jul 2018
Beyond Heuristics: Learning Visualization Design Bahador Saket Dominik Moritz Halden Lin Victor C. Dibia Çağatay Demiralp Jeffrey Heer 13 37 0 17 Jul 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas L. Griffiths 21 68 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 16 3 0 29 Jun 2018
Modular meta-learning Ferran Alet Tomás Lozano-Pérez L. Kaelbling OffRL 14 120 0 26 Jun 2018
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations Zhilin Yang J. Zhao Bhuwan Dhingra Kaiming He William W. Cohen Ruslan Salakhutdinov Yann LeCun 12 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 15 218 0 05 Jun 2018
Optimal Transport for structured data with application on graphs Titouan Vayer Laetitia Chapel Rémi Flamary R. Tavenard Nicolas Courty OT 17 263 0 23 May 2018
DeepLogic: Towards End-to-End Differentiable Logical Reasoning Nuri Cingillioglu A. Russo NAI LRM 22 18 0 18 May 2018
Iterative Visual Reasoning Beyond Convolutions Xinlei Chen Li-Jia Li Li Fei-Fei Abhinav Gupta LRM GNN 34 213 0 29 Mar 2018
Structured Label Inference for Visual Understanding Nelson Nauata Hexiang Hu Guang-Tong Zhou Zhiwei Deng Zicheng Liao Greg Mori BDL VLM 17 23 0 18 Feb 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 302 11,681 0 09 Mar 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 438 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 278 1,400 0 01 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 248 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 241 3,236 0 24 Nov 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 216 7,923 0 17 Aug 2015