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1703.06114
Cited By

Deep Sets

v1v2v3 (latest)

Deep Sets

10 March 2017

Siamak Ravanbakhsh

Barnabás Póczós

Ruslan Salakhutdinov

ArXiv (abs)PDF HTML

Papers citing "Deep Sets"

50 / 1,556 papers shown

On the Universality of Invariant Networks

On the Universality of Invariant Networks

456

263

0

27 Jan 2019

On the Limitations of Representing Functions on Sets

On the Limitations of Representing Functions on Sets

Martin Engelcke

Michael A. Osborne

333

176

0

25 Jan 2019

Decentralization of Multiagent Policies by Learning What to Communicate

Decentralization of Multiagent Policies by Learning What to Communicate

253

31

0

24 Jan 2019

Self-Supervised Deep Learning on Point Clouds by Reconstructing Space

Self-Supervised Deep Learning on Point Clouds by Reconstructing Space

Jonathan Sauder

190

19

0

24 Jan 2019

Constant Time Graph Neural Networks

Constant Time Graph Neural Networks

186

10

0

23 Jan 2019

Large-scale Collaborative Filtering with Product Embeddings

Large-scale Collaborative Filtering with Product Embeddings

Sinead Williamson

Alexander T. Hawk

Christopher C. Johnson

154

12

0

11 Jan 2019

DPPNet: Approximating Determinantal Point Processes with Deep Networks

DPPNet: Approximating Determinantal Point Processes with Deep Networks

Zelda E. Mariet

205

11

0

07 Jan 2019

Neural Clustering Processes

Neural Clustering Processes

Catalin Mitelut

269

5

0

28 Dec 2018

InstaGAN: Instance-aware Image-to-Image Translation

InstaGAN: Instance-aware Image-to-Image Translation

174

163

0

28 Dec 2018

Invariant and Equivariant Graph Networks

Invariant and Equivariant Graph Networks

408

542

0

24 Dec 2018

Graph Neural Networks: A Review of Methods and Applications

Graph Neural Networks: A Review of Methods and Applications

Jie Zhou

Zhengyan Zhang

Maosong Sun

2.2K

6,422

0

20 Dec 2018

NIPS - Not Even Wrong? A Systematic Review of Empirically Complete
Demonstrations of Algorithmic Effectiveness in the Machine Learning and
Artificial Intelligence Literature

NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature

Franz J. Király

Bilal A. Mateen

192

10

0

18 Dec 2018

Momen(e)t: Flavor the Moments in Learning to Classify Shapes

Momen(e)t: Flavor the Moments in Learning to Classify Shapes

Mor Joseph-Rivlin

182

76

0

18 Dec 2018

Conditional Graph Neural Processes: A Functional Autoencoder Approach

Conditional Graph Neural Processes: A Functional Autoencoder Approach

98

4

0

13 Dec 2018

Deep RBFNet: Point Cloud Feature Learning using Radial Basis Functions

Deep RBFNet: Point Cloud Feature Learning using Radial Basis Functions

Yajie Zhao

Hao Li

157

28

0

11 Dec 2018

Learning Representations of Sets through Optimized Permutations

Learning Representations of Sets through Optimized Permutations

Jonathon S. Hare

Adam Prugel-Bennett

171

28

0

10 Dec 2018

Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions

Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions

Han-Jia Ye

454

770

0

10 Dec 2018

Point-to-Pose Voting based Hand Pose Estimation using Residual
Permutation Equivariant Layer

Point-to-Pose Voting based Hand Pose Estimation using Residual Permutation Equivariant Layer

Dongheui Lee

186

78

0

05 Dec 2018

Learning to Sample

Learning to Sample

124

4

0

04 Dec 2018

SurfConv: Bridging 3D and 2D Convolution for RGBD Images

SurfConv: Bridging 3D and 2D Convolution for RGBD Images

Sanja Fidler

134

25

0

04 Dec 2018

Set Cross Entropy: Likelihood-based Permutation Invariant Loss Function
for Probability Distributions

Set Cross Entropy: Likelihood-based Permutation Invariant Loss Function for Probability Distributions

128

3

0

04 Dec 2018

Multiple Instance Learning for ECG Risk Stratification

Multiple Instance Learning for ECG Risk Stratification

Divya Shanmugam

Davis W. Blalock

286

16

0

02 Dec 2018

A Graph-CNN for 3D Point Cloud Classification

A Graph-CNN for 3D Point Cloud Classification

Michael G. Rabbat

312

174

0

28 Nov 2018

Amortized Bayesian inference for clustering models

Amortized Bayesian inference for clustering models

99

7

0

24 Nov 2018

Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D
Spherical Voxel Convolution

Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel ConvolutionAAAI Conference on Artificial Intelligence (AAAI), 2018

Qi Liu

285

70

0

23 Nov 2018

Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN

Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNNComputer Vision and Pattern Recognition (CVPR), 2018

156

157

0

19 Nov 2018

Stochastic Deep Networks

Stochastic Deep NetworksInternational Conference on Machine Learning (ICML), 2018

Gwendoline de Bie

256

24

0

19 Nov 2018

Deep Determinantal Point Processes

Deep Determinantal Point Processes

174

4

0

17 Nov 2018

Mining Entity Synonyms with Efficient Neural Set Generation

Mining Entity Synonyms with Efficient Neural Set GenerationAAAI Conference on Artificial Intelligence (AAAI), 2018

Xiang Ren

Brian M. Sadler

194

29

0

16 Nov 2018

GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition

GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition

324

606

0

15 Nov 2018

Hallucinating Point Cloud into 3D Sculptural Object

Hallucinating Point Cloud into 3D Sculptural Object

Chun-Liang Li

Barnabás Póczós

184

2

0

13 Nov 2018

Janossy Pooling: Learning Deep Permutation-Invariant Functions for
Variable-Size Inputs

Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs

370

202

0

05 Nov 2018

Learning and Interpreting Multi-Multi-Instance Learning Networks

Learning and Interpreting Multi-Multi-Instance Learning Networks

Alessandro Tibo

329

24

0

26 Oct 2018

TarMAC: Targeted Multi-Agent Communication

TarMAC: Targeted Multi-Agent Communication

Théophile Gervet

Devi Parikh

Michael G. Rabbat

411

460

0

26 Oct 2018

Hyperparameter Learning via Distributional Transfer

Hyperparameter Learning via Distributional Transfer

Dino Sejdinovic

239

28

0

15 Oct 2018

Point Cloud GAN

Point Cloud GAN

Chun-Liang Li

Barnabás Póczós

Ruslan Salakhutdinov

225

226

0

13 Oct 2018

Energy Flow Networks: Deep Sets for Particle Jets

Energy Flow Networks: Deep Sets for Particle Jets

Patrick T. Komiske

295

294

0

11 Oct 2018

Set Aggregation Network as a Trainable Pooling Layer

Set Aggregation Network as a Trainable Pooling Layer

Lukasz Maziarka

Przemysław Spurek

SSeg FAtt AI4TS

98

2

0

03 Oct 2018

How Powerful are Graph Neural Networks?

How Powerful are Graph Neural Networks?

Stefanie Jegelka

881

9,024

0

01 Oct 2018

Set Transformer: A Framework for Attention-based Permutation-Invariant
Neural Networks

Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

Adam R. Kosiorek

449

270

0

01 Oct 2018

EDDI: Efficient Dynamic Discovery of High-Value Information with Partial
VAE

EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAEInternational Conference on Machine Learning (ICML), 2018

Sebastian Tschiatschek

Konstantina Palla

José Miguel Hernández-Lobato

Sebastian Nowozin

318

141

0

28 Sep 2018

Sim-to-Real Transfer of Robot Learning with Variable Length Inputs

Sim-to-Real Transfer of Robot Learning with Variable Length Inputs

Vibhavari Dasagi

Niko Sünderhauf

165

3

0

20 Sep 2018

Canonical and Compact Point Cloud Representation for Shape
Classification

Canonical and Compact Point Cloud Representation for Shape Classification

Yoshiaki Sakakura

107

3

0

13 Sep 2018

A Deeper Look at 3D Shape Classifiers

A Deeper Look at 3D Shape Classifiers

Matheus Gadelha

141

110

0

07 Sep 2018

Discriminative Learning of Similarity and Group Equivariant
Representations

Discriminative Learning of Similarity and Group Equivariant Representations

Shubhendu Trivedi

145

1

0

30 Aug 2018

One-Shot Relational Learning for Knowledge Graphs

One-Shot Relational Learning for Knowledge Graphs

William Yang Wang

209

261

0

27 Aug 2018

Term Set Expansion based NLP Architect by Intel AI Lab

Term Set Expansion based NLP Architect by Intel AI Lab

Moshe Wasserblat

144

26

0

27 Aug 2018

A survey on Deep Learning Advances on Different 3D Data Representations

A survey on Deep Learning Advances on Different 3D Data Representations

Alexandre Saint

Abd El Rahman Shabayek

Björn E. Ottersten

230

108

0

04 Aug 2018

Geared Rotationally Identical and Invariant Convolutional Neural Network
Systems

Geared Rotationally Identical and Invariant Convolutional Neural Network Systems

ShihChung B. Lo

Ph. D.

M. D.

Ph. D.

Ph. D

88

4

0

03 Aug 2018

Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D
Reconstruction

Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction

247

146

0

02 Aug 2018

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