Deep Sets

10 March 2017

Papers citing "Deep Sets"

39 / 1,439 papers shown

Title
Adversarial Training of Word2Vec for Basket Completion Ugo Tanielian Mike Gartrell Flavian Vasile GAN 17 1 0 22 May 2018
Variational Learning on Aggregate Outputs with Gaussian Processes H. Law Dino Sejdinovic E. Cameron T. Lucas Seth Flaxman K. Battle Kenji Fukumizu 11 38 0 22 May 2018
Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks S. Hamid Rezatofighi Roman Kaskman F. Motlagh Javen Qinfeng Shi Daniel Cremers Laura Leal-Taixé Ian Reid SSL 15 23 0 02 May 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 150 768 0 30 Mar 2018
Learning to generate classifiers N. Guttenberg Ryota Kanai 6 3 0 30 Mar 2018
Point Convolutional Neural Networks by Extension Operators Matan Atzmon Haggai Maron Y. Lipman 3DPC 6 535 0 27 Mar 2018
Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks Yoav Kaempfer Lior Wolf 11 71 0 26 Mar 2018
Deep Architectures for Learning Context-dependent Ranking Functions Karlson Pfannschmidt Pritha Gupta Eyke Hüllermeier 6 10 0 15 Mar 2018
Learning to Play General Video-Games via an Object Embedding Network William Woof Ke Chen 18 13 0 14 Mar 2018
SO-Net: Self-Organizing Network for Point Cloud Analysis Jiaxin Li Ben M. Chen Gim Hee Lee 3DPC 22 934 0 12 Mar 2018
Improving Optimization for Models With Continuous Symmetry Breaking Robert Bamler Stephan Mandt DRL 20 14 0 08 Mar 2018
Deep Models of Interactions Across Sets Jason S. Hartford Devon R. Graham Kevin Leyton-Brown Siamak Ravanbakhsh 16 157 0 07 Mar 2018
Differentiable Submodular Maximization Sebastian Tschiatschek Aytunc Sahin Andreas Krause 10 45 0 05 Mar 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber BDL OCL DRL 34 290 0 28 Feb 2018
SPLATNet: Sparse Lattice Networks for Point Cloud Processing Hang Su Varun Jampani Deqing Sun Subhransu Maji E. Kalogerakis Ming-Hsuan Yang Jan Kautz 3DPC 14 748 0 22 Feb 2018
BRUNO: A Deep Recurrent Model for Exchangeable Data I. Korshunova Jonas Degrave Ferenc Huszár Y. Gal A. Gretton J. Dambre BDL 16 33 0 21 Feb 2018
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks Jeffrey Chan Valerio Perrone J. Spence Paul A. Jenkins Sara Mathieson Yun S. Song 23 104 0 16 Feb 2018
Detecting Anomalous Faces with Ño Peeking' Autoencoders Anand Bhattad Jason Rock David A. Forsyth CVBM 17 15 0 15 Feb 2018
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction Roei Herzig Moshiko Raboh Gal Chechik Jonathan Berant Amir Globerson GNN OCL 24 133 0 15 Feb 2018
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means M. Lerasle Z. Szabó Gaspar Massiot Guillaume Lecué 23 34 0 13 Feb 2018
Attention-based Deep Multiple Instance Learning Maximilian Ilse Jakub M. Tomczak Max Welling 23 1,744 0 13 Feb 2018
Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records Phuoc Nguyen T. Tran Svetha Venkatesh BDL 13 21 0 03 Feb 2018
GeniePath: Graph Neural Networks with Adaptive Receptive Paths Ziqi Liu Chaochao Chen Longfei Li Jun Zhou Xiaolong Li Le Song Yuan Qi GNN 13 308 0 03 Feb 2018
Spherical CNNs Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 25 891 0 30 Jan 2018
Transformation Autoregressive Networks Junier B. Oliva Kumar Avinava Dubey Manzil Zaheer Barnabás Póczós Ruslan Salakhutdinov Eric P. Xing J. Schneider OOD 18 86 0 30 Jan 2018
$PointCNN: Convolution On $\mathcal{X}$-Transformed Points$ PointCNN: Convolution On $\mathcal{X}$ -Transformed Points Yangyan Li Rui Bu Mingchao Sun Wei Yu Wu Xinhan Di Baoquan Chen 3DPC 34 2,418 0 23 Jan 2018
Investigating the Working of Text Classifiers Devendra Singh Sachan Manzil Zaheer Ruslan Salakhutdinov AI4TS 27 9 0 19 Jan 2018
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation Yaoqing Yang Chen Feng Yiru Shen Dong Tian 3DPC 27 75 0 19 Dec 2017
PacGAN: The power of two samples in generative adversarial networks Zinan Lin A. Khetan Giulia Fanti Sewoong Oh GAN 17 331 0 12 Dec 2017
RelNN: A Deep Neural Model for Relational Learning Seyed Mehran Kazemi David Poole NAI GNN 13 55 0 07 Dec 2017
3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds Using Local and Global Contextual Cues Wei Zeng Theo Gevers 3DPC 3DV 24 70 0 30 Nov 2017
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning Rajarshi Das S. Dhuliawala Manzil Zaheer Luke Vilnis Ishan Durugkar A. Krishnamurthy Alex Smola Andrew McCallum KELM 18 506 0 15 Nov 2017
Joint Learning of Set Cardinality and State Distribution S. Hamid Rezatofighi Anton Milan Javen Qinfeng Shi A. Dick Ian Reid SSL BDL 19 16 0 13 Sep 2017
Characteristic and Universal Tensor Product Kernels Z. Szabó Bharath K. Sriperumbudur 25 66 0 28 Aug 2017
Distributional Adversarial Networks Chengtao Li David Alvarez-Melis Keyulu Xu Stefanie Jegelka S. Sra GAN 17 24 0 29 Jun 2017
A simple neural network module for relational reasoning Adam Santoro David Raposo David Barrett Mateusz Malinowski Razvan Pascanu Peter W. Battaglia Timothy Lillicrap GNN NAI 15 1,603 0 05 Jun 2017
Bayesian Approaches to Distribution Regression H. Law Danica J. Sutherland Dino Sejdinovic Seth Flaxman OOD UQCV BDL 19 37 0 11 May 2017
Equivariance Through Parameter-Sharing Siamak Ravanbakhsh J. Schneider Barnabás Póczós 11 253 0 27 Feb 2017
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 166 1,940 0 24 Oct 2016