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Deep Sets
v1v2v3 (latest)

Deep Sets

10 March 2017
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
ArXiv (abs)PDFHTML

Papers citing "Deep Sets"

50 / 1,555 papers shown
Zero-shot Domain Adaptation without Domain Semantic Descriptors
Zero-shot Domain Adaptation without Domain Semantic Descriptors
Atsutoshi Kumagai
Tomoharu Iwata
VLM
144
14
0
09 Jul 2018
Domain2Vec: Deep Domain Generalization
Domain2Vec: Deep Domain Generalization
A. Deshmukh
Ankit Bansal
Akash Rastogi
ViTOOD
117
6
0
09 Jul 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in
  Volumetric Data
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric DataNeural Information Processing Systems (NeurIPS), 2018
Maurice Weiler
Mario Geiger
Max Welling
Wouter Boomsma
Taco S. Cohen
3DPC
327
564
0
06 Jul 2018
Product-based Neural Networks for User Response Prediction over
  Multi-field Categorical Data
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
Yanru Qu
Bohui Fang
Weinan Zhang
Ruiming Tang
Minzhe Niu
Huifeng Guo
Yong Yu
Xiuqiang He
192
203
0
01 Jul 2018
Subject2Vec: Generative-Discriminative Approach from a Set of Image
  Patches to a Vector
Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a VectorInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2018
Sumedha Singla
Biwei Huang
Siamak Ravanbakhsh
F. Sciurba
Barnabás Póczós
N. Batmanghelich
MedIm
90
22
0
28 Jun 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional
  Neural Network
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
Risi Kondor
Zhen Lin
Shubhendu Trivedi
366
296
0
24 Jun 2018
Mixed batches and symmetric discriminators for GAN training
Mixed batches and symmetric discriminators for GAN training
Thomas Lucas
Corentin Tallec
Jakob Verbeek
Yann Ollivier
158
38
0
19 Jun 2018
Object Level Visual Reasoning in Videos
Object Level Visual Reasoning in Videos
Fabien Baradel
Natalia Neverova
Christian Wolf
J. Mille
Greg Mori
308
170
0
16 Jun 2018
Transformationally Identical and Invariant Convolutional Neural Networks
  through Symmetric Element Operators
Transformationally Identical and Invariant Convolutional Neural Networks through Symmetric Element Operators
S. Lo
M. Freedman
S. Mun
Shuo Gu
157
5
0
10 Jun 2018
Re-evaluating Evaluation
Re-evaluating Evaluation
David Balduzzi
K. Tuyls
Julien Perolat
T. Graepel
MoMe
286
113
0
07 Jun 2018
Multi-chart Generative Surface Modeling
Multi-chart Generative Surface Modeling
Heli Ben-Hamu
Haggai Maron
Itay Kezurer
G. Avineri
Y. Lipman
MedIm
199
78
0
06 Jun 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Adam R. Kosiorek
Hyunjik Kim
Ingmar Posner
Yee Whye Teh
BDL
378
267
0
05 Jun 2018
Embedding Logical Queries on Knowledge Graphs
Embedding Logical Queries on Knowledge Graphs
William L. Hamilton
Payal Bajaj
Marinka Zitnik
Dan Jurafsky
J. Leskovec
NAI
305
316
0
05 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CENAI
1.3K
3,393
0
04 Jun 2018
Interpretable Set Functions
Interpretable Set Functions
Andrew Cotter
Maya R. Gupta
Heinrich Jiang
J. Muller
Taman Narayan
S. Wang
Tao Zhu
163
7
0
31 May 2018
Metric-Optimized Example Weights
Metric-Optimized Example Weights
Sen Zhao
M. M. Fard
Harikrishna Narasimhan
Maya R. Gupta
131
17
0
27 May 2018
Meta-Learning Probabilistic Inference For Prediction
Meta-Learning Probabilistic Inference For Prediction
Jonathan Gordon
J. Bronskill
Matthias Bauer
Sebastian Nowozin
Richard Turner
BDL
474
281
0
24 May 2018
Adversarial Training of Word2Vec for Basket Completion
Adversarial Training of Word2Vec for Basket Completion
Ugo Tanielian
Mike Gartrell
Flavian Vasile
GAN
118
1
0
22 May 2018
Variational Learning on Aggregate Outputs with Gaussian Processes
Variational Learning on Aggregate Outputs with Gaussian Processes
H. Law
Dino Sejdinovic
E. Cameron
T. Lucas
Seth Flaxman
K. Battle
Kenji Fukumizu
129
39
0
22 May 2018
Deep Perm-Set Net: Learn to predict sets with unknown permutation and
  cardinality using deep neural networks
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
Zorah Lähner
Laura Leal-Taixé
Ian Reid
SSL
193
24
0
02 May 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV3DPC
542
841
0
30 Mar 2018
Learning to generate classifiers
Learning to generate classifiers
N. Guttenberg
Ryota Kanai
86
3
0
30 Mar 2018
Point Convolutional Neural Networks by Extension Operators
Point Convolutional Neural Networks by Extension Operators
Matan Atzmon
Haggai Maron
Y. Lipman
3DPC
166
559
0
27 Mar 2018
Learning the Multiple Traveling Salesmen Problem with Permutation
  Invariant Pooling Networks
Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks
Yoav Kaempfer
Lior Wolf
148
76
0
26 Mar 2018
Deep Architectures for Learning Context-dependent Ranking Functions
Deep Architectures for Learning Context-dependent Ranking Functions
Karlson Pfannschmidt
Pritha Gupta
Eyke Hüllermeier
80
10
0
15 Mar 2018
Learning to Play General Video-Games via an Object Embedding Network
Learning to Play General Video-Games via an Object Embedding NetworkIEEE Conference on Computational Intelligence and Games (CIG), 2018
William Woof
Ke Chen
139
13
0
14 Mar 2018
SO-Net: Self-Organizing Network for Point Cloud Analysis
SO-Net: Self-Organizing Network for Point Cloud Analysis
Jiaxin Li
Ben M. Chen
Gim Hee Lee
3DPC
474
990
0
12 Mar 2018
Improving Optimization for Models With Continuous Symmetry Breaking
Improving Optimization for Models With Continuous Symmetry Breaking
Kushagra Pandey
Stephan Mandt
DRL
233
17
0
08 Mar 2018
Deep Models of Interactions Across Sets
Deep Models of Interactions Across Sets
Jason S. Hartford
Devon R. Graham
Kevin Leyton-Brown
Siamak Ravanbakhsh
330
169
0
07 Mar 2018
Differentiable Submodular Maximization
Differentiable Submodular Maximization
Sebastian Tschiatschek
Aytunc Sahin
Andreas Krause
151
46
0
05 Mar 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of
  Objects and their Interactions
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their InteractionsInternational Conference on Learning Representations (ICLR), 2018
Sjoerd van Steenkiste
Michael Chang
Klaus Greff
Jürgen Schmidhuber
BDLOCLDRL
393
297
0
28 Feb 2018
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
Hang Su
Varun Jampani
Deqing Sun
Subhransu Maji
E. Kalogerakis
Ming-Hsuan Yang
Jan Kautz
3DPC
319
779
0
22 Feb 2018
BRUNO: A Deep Recurrent Model for Exchangeable Data
BRUNO: A Deep Recurrent Model for Exchangeable Data
I. Korshunova
Jonas Degrave
Ferenc Huszár
Y. Gal
Arthur Gretton
J. Dambre
BDL
157
36
0
21 Feb 2018
A Likelihood-Free Inference Framework for Population Genetic Data using
  Exchangeable Neural Networks
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
465
120
0
16 Feb 2018
Detecting Anomalous Faces with Ño Peeking' Autoencoders
Detecting Anomalous Faces with Ño Peeking' Autoencoders
Anand Bhattad
Jason Rock
David A. Forsyth
CVBM
161
17
0
15 Feb 2018
Mapping Images to Scene Graphs with Permutation-Invariant Structured
  Prediction
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Roei Herzig
Moshiko Raboh
Gal Chechik
Jonathan Berant
Amir Globerson
GNNOCL
308
137
0
15 Feb 2018
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means
M. Lerasle
Z. Szabó
Gaspar Massiot
Guillaume Lecué
367
38
0
13 Feb 2018
Attention-based Deep Multiple Instance Learning
Attention-based Deep Multiple Instance Learning
Maximilian Ilse
Jakub M. Tomczak
Max Welling
799
2,273
0
13 Feb 2018
Resset: A Recurrent Model for Sequence of Sets with Applications to
  Electronic Medical Records
Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records
Phuoc Nguyen
T. Tran
Svetha Venkatesh
BDL
104
21
0
03 Feb 2018
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
Ziqi Liu
Chaochao Chen
Longfei Li
Jun Zhou
Xiaolong Li
Le Song
Yuan Qi
GNN
386
332
0
03 Feb 2018
Spherical CNNs
Spherical CNNs
Taco S. Cohen
Mario Geiger
Jonas Köhler
Max Welling
743
978
0
30 Jan 2018
Transformation Autoregressive Networks
Transformation Autoregressive Networks
Junier B. Oliva
Kumar Avinava Dubey
Manzil Zaheer
Barnabás Póczós
Ruslan Salakhutdinov
Eric Xing
J. Schneider
OOD
296
88
0
30 Jan 2018
PointCNN: Convolution On $\mathcal{X}$-Transformed Points
PointCNN: Convolution On X\mathcal{X}X-Transformed Points
Yangyan Li
Rui Bu
Mingchao Sun
Wei Wu
Xinhan Di
Baoquan Chen
3DPC
710
2,750
0
23 Jan 2018
Investigating the Working of Text Classifiers
Investigating the Working of Text Classifiers
Devendra Singh Sachan
Manzil Zaheer
Ruslan Salakhutdinov
AI4TS
133
9
0
19 Jan 2018
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation
Yaoqing Yang
Chen Feng
Yiru Shen
Dong Tian
3DPC
194
80
0
19 Dec 2017
PacGAN: The power of two samples in generative adversarial networks
PacGAN: The power of two samples in generative adversarial networks
Zinan Lin
A. Khetan
Giulia Fanti
Sewoong Oh
GAN
345
359
0
12 Dec 2017
RelNN: A Deep Neural Model for Relational Learning
RelNN: A Deep Neural Model for Relational Learning
Seyed Mehran Kazemi
David Poole
NAIGNN
124
55
0
07 Dec 2017
3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds
  Using Local and Global Contextual Cues
3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds Using Local and Global Contextual Cues
Wei Zeng
Theo Gevers
3DPC3DV
161
7
0
30 Nov 2017
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in
  Knowledge Bases using Reinforcement Learning
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
Rajarshi Das
Shehzaad Dhuliawala
Manzil Zaheer
Luke Vilnis
Ishan Durugkar
A. Krishnamurthy
Alex Smola
Andrew McCallum
KELM
440
567
0
15 Nov 2017
Joint Learning of Set Cardinality and State Distribution
Joint Learning of Set Cardinality and State Distribution
S. Hamid Rezatofighi
Anton Milan
Javen Qinfeng Shi
A. Dick
Ian Reid
SSLBDL
222
16
0
13 Sep 2017
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