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1703.06114
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Deep Sets
10 March 2017
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
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Papers citing
"Deep Sets"
50 / 1,556 papers shown
Efficient Learning on Point Clouds with Basis Point Sets
IEEE International Conference on Computer Vision (ICCV), 2019
Sergey Prokudin
Christoph Lassner
Javier Romero
3DPC
176
142
0
24 Aug 2019
Developing Creative AI to Generate Sculptural Objects
Songwei Ge
Austin Dill
Eunsu Kang
Chun-Liang Li
Lingyao Zhang
Manzil Zaheer
Barnabás Póczós
3DPC
103
8
0
20 Aug 2019
Density estimation in representation space to predict model uncertainty
Communications in Computer and Information Science (CCIS), 2019
Tiago Ramalho
M. Corbalan
UQCV
BDL
176
44
0
20 Aug 2019
PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation
International Conference on Pattern Recognition (ICPR), 2019
Na Zhao
Tat-Seng Chua
Gim Hee Lee
3DPC
70
1
0
15 Aug 2019
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
IEEE International Conference on Computer Vision (ICCV), 2019
Mikaela Angelina Uy
Quang Pham
Binh-Son Hua
D. Nguyen
Sai-Kit Yeung
3DV
3DPC
454
954
0
13 Aug 2019
Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model
Wenbo Gong
Sebastian Tschiatschek
Richard Turner
Sebastian Nowozin
José Miguel Hernández-Lobato
Cheng Zhang
BDL
164
19
0
13 Aug 2019
Permutation-invariant Feature Restructuring for Correlation-aware Image Set-based Recognition
IEEE International Conference on Computer Vision (ICCV), 2019
Xiaofeng Liu
Zhenhua Guo
Site Li
Lingsheng Kong
P. Jia
J. You
B. V. Kumar
CVBM
177
33
0
03 Aug 2019
Deformable Filter Convolution for Point Cloud Reasoning
Yuwen Xiong
Mengye Ren
Renjie Liao
K. Wong
R. Urtasun
3DPC
153
17
0
30 Jul 2019
Dynamic Input for Deep Reinforcement Learning in Autonomous Driving
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
Maria Hügle
Gabriel Kalweit
Branka Mirchevska
M. Werling
Joschka Boedecker
134
63
0
25 Jul 2019
Hyperlink Regression via Bregman Divergence
Neural Networks (NN), 2019
Akifumi Okuno
Hidetoshi Shimodaira
216
6
0
22 Jul 2019
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning
F. Fuchs
Adam R. Kosiorek
Li Sun
Oiwi Parker Jones
Ingmar Posner
VOT
583
14
0
12 Jul 2019
Learning Functions over Sets via Permutation Adversarial Networks
Chirag Pabbaraju
Prateek Jain
160
8
0
12 Jul 2019
Learning Truthful, Efficient, and Welfare Maximizing Auction Rules
Andrea Tacchetti
D. Strouse
M. Garnelo
T. Graepel
Yoram Bachrach
102
7
0
11 Jul 2019
An Attention Mechanism for Musical Instrument Recognition
International Society for Music Information Retrieval Conference (ISMIR), 2019
Siddharth Gururani
Mohit Sharma
Alexander Lerch
154
42
0
09 Jul 2019
What graph neural networks cannot learn: depth vs width
International Conference on Learning Representations (ICLR), 2019
Andreas Loukas
GNN
255
323
0
06 Jul 2019
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning
Weiwei Sun
Wei Jiang
Eduard Trulls
Andrea Tagliasacchi
K. M. Yi
3DPC
353
20
0
04 Jul 2019
Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds
International Conference on Learning Representations (ICLR), 2019
L. Prantl
N. Chentanez
S. Jeschke
Nils Thuerey
3DPC
221
14
0
03 Jul 2019
Multiview Aggregation for Learning Category-Specific Shape Reconstruction
Neural Information Processing Systems (NeurIPS), 2019
Srinath Sridhar
Davis Rempe
Julien P. C. Valentin
Sofien Bouaziz
Leonidas Guibas
3DV
285
35
0
01 Jul 2019
Going Deeper with Lean Point Networks
Eric-Tuan Lê
Iasonas Kokkinos
Niloy J. Mitra
3DPC
96
7
0
01 Jul 2019
SetGAN: Improving the stability and diversity of generative models through a permutation invariant architecture
Alessandro Ferrero
Shireen Y. Elhabian
Ross T. Whitaker
GAN
138
1
0
28 Jun 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
IEEE International Conference on Computer Vision (ICCV), 2019
Guandao Yang
Xun Huang
Jinwei Gu
Ming-Yuan Liu
Serge J. Belongie
Bharath Hariharan
3DPC
525
756
0
28 Jun 2019
Flexible SVBRDF Capture with a Multi-Image Deep Network
Valentin Deschaintre
M. Aittala
F. Durand
G. Drettakis
Adrien Bousseau
159
134
0
27 Jun 2019
Learning Set-equivariant Functions with SWARM Mappings
Roland Vollgraf
108
3
0
22 Jun 2019
Embedding models for recommendation under contextual constraints
Syrine Krichene
Mike Gartrell
Clément Calauzènes
54
2
0
21 Jun 2019
On the Robustness of the Backdoor-based Watermarking in Deep Neural Networks
Masoumeh Shafieinejad
Jiaqi Wang
Nils Lukas
Xinda Li
Florian Kerschbaum
AAML
136
8
0
18 Jun 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes
Neural Information Processing Systems (NeurIPS), 2019
James Requeima
Jonathan Gordon
J. Bronskill
Sebastian Nowozin
Richard Turner
190
260
0
18 Jun 2019
Deep Set Prediction Networks
Neural Information Processing Systems (NeurIPS), 2019
Yan Zhang
Jonathon S. Hare
Adam Prugel-Bennett
447
122
0
15 Jun 2019
Predicting Choice with Set-Dependent Aggregation
International Conference on Machine Learning (ICML), 2019
Nir Rosenfeld
Kojin Oshiba
Yaron Singer
151
21
0
14 Jun 2019
Identifying Illicit Accounts in Large Scale E-payment Networks -- A Graph Representation Learning Approach
D. Tam
Wing Cheong Lau
Bin Hu
Qiufang Ying
D. Chiu
Hong Liu
GNN
158
24
0
13 Jun 2019
Neural Networks on Groups
Stella Biderman
110
1
0
13 Jun 2019
Representation Learning for Words and Entities
Pushpendre Rastogi
SSL
178
0
0
12 Jun 2019
Position-aware Graph Neural Networks
International Conference on Machine Learning (ICML), 2019
Jiaxuan You
Rex Ying
J. Leskovec
290
551
0
11 Jun 2019
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer
AAAI Conference on Artificial Intelligence (AAAI), 2019
Edward Choi
Zhen Xu
Yujia Li
Michael W. Dusenberry
Gerardo Flores
Yuan Xue
Andrew M. Dai
MedIm
223
271
0
11 Jun 2019
Write, Execute, Assess: Program Synthesis with a REPL
Neural Information Processing Systems (NeurIPS), 2019
Kevin Ellis
Maxwell Nye
Yewen Pu
Felix Sosa
J. Tenenbaum
Armando Solar-Lezama
234
179
0
09 Jun 2019
FSPool: Learning Set Representations with Featurewise Sort Pooling
International Conference on Learning Representations (ICLR), 2019
Yan Zhang
Jonathon S. Hare
Adam Prugel-Bennett
410
89
0
06 Jun 2019
SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Alireza Abedin Varamin
S. Hamid Rezatofighi
Javen Qinfeng Shi
Damith C. Ranasinghe
139
21
0
06 Jun 2019
Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Jean-François Ton
Lucian Chan
Yee Whye Teh
Dino Sejdinovic
126
13
0
05 Jun 2019
Approximation capability of neural networks on spaces of probability measures and tree-structured domains
Tomás Pevný
Vojtěch Kovařík
114
16
0
03 Jun 2019
Topological Autoencoders
International Conference on Machine Learning (ICML), 2019
Michael Moor
Max Horn
Bastian Rieck
Karsten Borgwardt
441
177
0
03 Jun 2019
Discriminative structural graph classification
Younjoo Seo
Andreas Loukas
Nathanael Perraudin
165
19
0
31 May 2019
What Can Neural Networks Reason About?
International Conference on Learning Representations (ICLR), 2019
Keyulu Xu
Jingling Li
Mozhi Zhang
S. Du
Ken-ichi Kawarabayashi
Stefanie Jegelka
NAI
AI4CE
365
274
0
30 May 2019
One-element Batch Training by Moving Window
Przemysław Spurek
Szymon Knop
Jacek Tabor
Igor T. Podolak
B. Wójcik
VLM
108
0
0
30 May 2019
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks
International Conference on Learning Representations (ICLR), 2019
Haebeom Lee
Hayeon Lee
Donghyun Na
Saehoon Kim
Minseop Park
Eunho Yang
Sung Ju Hwang
BDL
OODD
267
115
0
30 May 2019
Adaptive Deep Kernel Learning
Prudencio Tossou
Basile Dura
François Laviolette
M. Marchand
Alexandre Lacoste
215
29
0
28 May 2019
OrderNet: Ordering by Example
R. Porter
OffRL
76
0
0
27 May 2019
Representation Learning for Dynamic Graphs: A Survey
Journal of machine learning research (JMLR), 2019
Seyed Mehran Kazemi
Rishab Goel
Kshitij Jain
I. Kobyzev
Akshay Sethi
Peter Forsyth
Pascal Poupart
AI4TS
AI4CE
GNN
308
543
0
27 May 2019
Incidence Networks for Geometric Deep Learning
International Conference on Machine Learning (ICML), 2019
Marjan Albooyeh
Daniele Bertolini
Siamak Ravanbakhsh
GNN
122
27
0
27 May 2019
Learning by stochastic serializations
Pablo Strasser
S. Armand
Stéphane Marchand-Maillet
Alexandros Kalousis
127
0
0
27 May 2019
Provably Powerful Graph Networks
Neural Information Processing Systems (NeurIPS), 2019
Haggai Maron
Heli Ben-Hamu
Hadar Serviansky
Y. Lipman
520
638
0
27 May 2019
Dataset2Vec: Learning Dataset Meta-Features
Data mining and knowledge discovery (DMKD), 2019
H. Jomaa
Lars Schmidt-Thieme
Josif Grabocka
SSL
307
70
0
27 May 2019
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