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1906.06565
Cited By
Deep Set Prediction Networks
15 June 2019
Yan Zhang
Jonathon S. Hare
Adam Prugel-Bennett
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Papers citing
"Deep Set Prediction Networks"
25 / 25 papers shown
Title
OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning
Xu Yin
Fei Pan
G. An
Yuchi Huo
Zixuan Xie
Sung-eui Yoon
BDL
VLM
100
1
0
02 Jul 2024
FSPool: Learning Set Representations with Featurewise Sort Pooling
Yan Zhang
Jonathon S. Hare
Adam Prugel-Bennett
76
75
0
06 Jun 2019
Multi-Object Representation Learning with Iterative Variational Inference
Klaus Greff
Raphael Lopez Kaufman
Rishabh Kabra
Nicholas Watters
Christopher P. Burgess
Daniel Zoran
Loic Matthey
M. Botvinick
Alexander Lerchner
OCL
SSL
72
505
0
01 Mar 2019
Learning Representations of Sets through Optimized Permutations
Yan Zhang
Jonathon S. Hare
Adam Prugel-Bennett
SSL
33
25
0
10 Dec 2018
Concept Learning with Energy-Based Models
William J. Wilkinson
114
25
0
06 Nov 2018
MolGAN: An implicit generative model for small molecular graphs
Nicola De Cao
Thomas Kipf
GNN
GAN
117
917
0
30 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
45
23
0
02 May 2018
Learning Deep Generative Models of Graphs
Yujia Li
Oriol Vinyals
Chris Dyer
Razvan Pascanu
Peter W. Battaglia
GNN
AI4CE
136
659
0
08 Mar 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
Jiaxuan You
Rex Ying
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
BDL
95
840
0
24 Feb 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks
Gonzalo E. Mena
David Belanger
Scott W. Linderman
Jasper Snoek
66
267
0
23 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
M. Simonovsky
N. Komodakis
GNN
BDL
89
842
0
09 Feb 2018
Object-based reasoning in VQA
Mikyas T. Desta
Larry Chen
Tomasz Kornuta
59
33
0
29 Jan 2018
Wasserstein Introspective Neural Networks
Kwonjoon Lee
Weijian Xu
Fan Fan
Zhuowen Tu
51
57
0
24 Nov 2017
Optimizing the Latent Space of Generative Networks
Piotr Bojanowski
Armand Joulin
David Lopez-Paz
Arthur Szlam
GAN
54
415
0
18 Jul 2017
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
453
129,831
0
12 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
110
1,610
0
05 Jun 2017
End-to-End Learning for Structured Prediction Energy Networks
David Belanger
Bishan Yang
Andrew McCallum
57
136
0
16 Mar 2017
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
225
2,441
0
10 Mar 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Justin Johnson
B. Hariharan
Laurens van der Maaten
Li Fei-Fei
C. L. Zitnick
Ross B. Girshick
CoGe
275
2,346
0
20 Dec 2016
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
Haoqiang Fan
Hao Su
Leonidas Guibas
3DPC
3DV
152
2,223
0
02 Dec 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Order Matters: Sequence to sequence for sets
Oriol Vinyals
Samy Bengio
M. Kudlur
BDL
133
950
0
19 Nov 2015
Structured Prediction Energy Networks
David Belanger
Andrew McCallum
GNN
48
219
0
19 Nov 2015
End-to-end people detection in crowded scenes
Russell Stewart
Mykhaylo Andriluka
59
541
0
16 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
412
61,900
0
04 Jun 2015
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