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Deep Sets

Deep Sets

10 March 2017
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
ArXivPDFHTML

Papers citing "Deep Sets"

50 / 1,441 papers shown
Title
Attention Awareness Multiple Instance Neural Network
Attention Awareness Multiple Instance Neural Network
Jingjun Yi
Beichen Zhou
19
1
0
27 May 2022
How Powerful are K-hop Message Passing Graph Neural Networks
How Powerful are K-hop Message Passing Graph Neural Networks
Jiarui Feng
Yixin Chen
Fuhai Li
Anindya Sarkar
Muhan Zhang
14
100
0
26 May 2022
RENs: Relevance Encoding Networks
RENs: Relevance Encoding Networks
Krithika S. Iyer
Riddhish Bhalodia
Shireen Y. Elhabian
DRL
21
1
0
25 May 2022
QGNN: Value Function Factorisation with Graph Neural Networks
QGNN: Value Function Factorisation with Graph Neural Networks
Ryan Kortvelesy
Amanda Prorok
32
15
0
25 May 2022
Conditional set generation using Seq2seq models
Conditional set generation using Seq2seq models
Aman Madaan
Dheeraj Rajagopal
Niket Tandon
Yiming Yang
Antoine Bosselut
35
10
0
25 May 2022
Convolutional Neural Processes for Inpainting Satellite Images
Convolutional Neural Processes for Inpainting Satellite Images
Alexander Pondaven
M. Bakler
D. Guo
Hamzah Hashim
Martin Ignatov
Harrison Zhu
32
8
0
24 May 2022
Efficient anti-symmetrization of a neural network layer by taming the
  sign problem
Efficient anti-symmetrization of a neural network layer by taming the sign problem
Nilin Abrahamsen
Lin Lin
48
0
0
24 May 2022
Learning to Assemble Geometric Shapes
Learning to Assemble Geometric Shapes
Jinhwi Lee
Jungtaek Kim
H. Chung
Jaesik Park
Minsu Cho
23
4
0
24 May 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition
High-Order Pooling for Graph Neural Networks with Tensor Decomposition
Chenqing Hua
Guillaume Rabusseau
Jian Tang
81
25
0
24 May 2022
Variable-Input Deep Operator Networks
Variable-Input Deep Operator Networks
Michael Prasthofer
Tim De Ryck
Siddhartha Mishra
53
23
0
23 May 2022
Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited
Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited
Nils M. Kriege
24
15
0
22 May 2022
Equivariant Mesh Attention Networks
Equivariant Mesh Attention Networks
Sourya Basu
Jose Gallego-Posada
Francesco Vigano
J. Rowbottom
Taco S. Cohen
3DPC
MDE
AI4CE
59
10
0
21 May 2022
eBIM-GNN : Fast and Scalable energy analysis through BIMs and Graph
  Neural Networks
eBIM-GNN : Fast and Scalable energy analysis through BIMs and Graph Neural Networks
Rucha Bhalchandra Joshi
Annada Prasad Behera
Subhankar Mishra
AI4CE
14
0
0
21 May 2022
Neur2SP: Neural Two-Stage Stochastic Programming
Neur2SP: Neural Two-Stage Stochastic Programming
Justin Dumouchelle
R. Patel
Elias Boutros Khalil
Merve Bodur
66
27
0
20 May 2022
Towards Understanding Grokking: An Effective Theory of Representation
  Learning
Towards Understanding Grokking: An Effective Theory of Representation Learning
Ziming Liu
O. Kitouni
Niklas Nolte
Eric J. Michaud
Max Tegmark
Mike Williams
AI4CE
33
144
0
20 May 2022
Set-based Meta-Interpolation for Few-Task Meta-Learning
Set-based Meta-Interpolation for Few-Task Meta-Learning
Seanie Lee
Bruno Andreis
Kenji Kawaguchi
Juho Lee
Sung Ju Hwang
50
9
0
20 May 2022
Lessons Learned: Defending Against Property Inference Attacks
Lessons Learned: Defending Against Property Inference Attacks
Joshua Stock
Jens Wettlaufer
Daniel Demmler
Hannes Federrath
AAML
41
1
0
18 May 2022
What is an equivariant neural network?
What is an equivariant neural network?
Lek-Heng Lim
Bradley J. Nelson
BDL
FedML
MLT
37
22
0
15 May 2022
Asking for Knowledge: Training RL Agents to Query External Knowledge
  Using Language
Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language
Iou-Jen Liu
Xingdi Yuan
Marc-Alexandre Côté
Pierre-Yves Oudeyer
Alex Schwing
RALM
26
12
0
12 May 2022
Low Dimensional Invariant Embeddings for Universal Geometric Learning
Low Dimensional Invariant Embeddings for Universal Geometric Learning
Nadav Dym
S. Gortler
34
40
0
05 May 2022
TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models
TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models
S. Triest
Matthew Sivaprakasam
Sean J. Wang
Wenshan Wang
Aaron M. Johnson
Sebastian Scherer
35
55
0
03 May 2022
IRC-safe Graph Autoencoder for unsupervised anomaly detection
IRC-safe Graph Autoencoder for unsupervised anomaly detection
Oliver Atkinson
Akanksha Bhardwaj
C. Englert
P. Konar
Vishal S. Ngairangbam
M. Spannowsky
34
26
0
26 Apr 2022
Visual Attention Methods in Deep Learning: An In-Depth Survey
Visual Attention Methods in Deep Learning: An In-Depth Survey
Mohammed Hassanin
Saeed Anwar
Ibrahim Radwan
Fahad Shahbaz Khan
Ajmal Mian
34
147
0
16 Apr 2022
Theory of Graph Neural Networks: Representation and Learning
Theory of Graph Neural Networks: Representation and Learning
Stefanie Jegelka
GNN
AI4CE
38
68
0
16 Apr 2022
Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic
  Segmentation
Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
Damien Robert
Bruno Vallet
Loic Landrieu
3DPC
31
71
0
15 Apr 2022
Relaxing Equivariance Constraints with Non-stationary Continuous Filters
Relaxing Equivariance Constraints with Non-stationary Continuous Filters
Tycho F. A. van der Ouderaa
David W. Romero
Mark van der Wilk
29
33
0
14 Apr 2022
Brainish: Formalizing A Multimodal Language for Intelligence and
  Consciousness
Brainish: Formalizing A Multimodal Language for Intelligence and Consciousness
Paul Pu Liang
35
4
0
14 Apr 2022
Neural Processes with Stochastic Attention: Paying more attention to the
  context dataset
Neural Processes with Stochastic Attention: Paying more attention to the context dataset
Mingyu Kim
Kyeongryeol Go
Se-Young Yun
40
20
0
11 Apr 2022
Learning Object-Centered Autotelic Behaviors with Graph Neural Networks
Learning Object-Centered Autotelic Behaviors with Graph Neural Networks
Ahmed Akakzia
Olivier Sigaud
40
0
0
11 Apr 2022
Identifying Ambiguous Similarity Conditions via Semantic Matching
Identifying Ambiguous Similarity Conditions via Semantic Matching
Han-Jia Ye
Yi Shi
De-Chuan Zhan
CoGe
36
7
0
08 Apr 2022
Points to Patches: Enabling the Use of Self-Attention for 3D Shape
  Recognition
Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition
Axel Berg
Magnus Oskarsson
Mark O'Connor
3DPC
ViT
29
26
0
08 Apr 2022
Equivariance Discovery by Learned Parameter-Sharing
Equivariance Discovery by Learned Parameter-Sharing
Raymond A. Yeh
Yuan-Ting Hu
M. Hasegawa-Johnson
Alex Schwing
FedML
42
15
0
07 Apr 2022
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
L. Brinkmeyer
Rafael Rêgo Drumond
Johannes Burchert
Lars Schmidt-Thieme
AI4TS
33
7
0
07 Apr 2022
The Self-Optimal-Transport Feature Transform
The Self-Optimal-Transport Feature Transform
Daniel Shalam
Simon Korman
OT
34
22
0
06 Apr 2022
Domain Adversarial Graph Convolutional Network Based on RSSI and
  Crowdsensing for Indoor Localization
Domain Adversarial Graph Convolutional Network Based on RSSI and Crowdsensing for Indoor Localization
Mingxin Zhang
Z. Fan
Ryosuke Shibasaki
Xuan Song
10
24
0
06 Apr 2022
"This is my unicorn, Fluffy": Personalizing frozen vision-language
  representations
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations
Niv Cohen
Rinon Gal
E. Meirom
Gal Chechik
Yuval Atzmon
VLM
MLLM
56
83
0
04 Apr 2022
Matching Feature Sets for Few-Shot Image Classification
Matching Feature Sets for Few-Shot Image Classification
Arman Afrasiyabi
Hugo Larochelle
Jean-François Lalonde
Christian Gagné
VLM
35
72
0
02 Apr 2022
3D Equivariant Graph Implicit Functions
3D Equivariant Graph Implicit Functions
Yunlu Chen
Basura Fernando
Hakan Bilen
Matthias Nießner
E. Gavves
3DPC
32
24
0
31 Mar 2022
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Da-Wei Zhou
Han-Jia Ye
Liang Ma
Di Xie
Shiliang Pu
De-Chuan Zhan
CLL
30
119
0
31 Mar 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed
  Machine Learning
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
Chuizheng Meng
Sungyong Seo
Defu Cao
Sam Griesemer
Yan Liu
PINN
AI4CE
58
57
0
31 Mar 2022
Neural Face Video Compression using Multiple Views
Neural Face Video Compression using Multiple Views
Anna Volokitin
Stefan Brugger
Ali Benlalah
Sebastian Martin
Brian Amberg
Michael Tschannen
CVBM
3DGS
27
14
0
29 Mar 2022
MatchNorm: Learning-based Point Cloud Registration for 6D Object Pose
  Estimation in the Real World
MatchNorm: Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World
Zheng Dang
Lizhou Wang
Yu-Xiao Guo
Mathieu Salzmann
3DPC
38
14
0
29 Mar 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations,
  and Challenges
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges
S. Thais
P. Calafiura
G. Chachamis
G. Dezoort
Javier Mauricio Duarte
S. Ganguly
Michael Kagan
D. Murnane
Mark S. Neubauer
K. Terao
PINN
AI4CE
44
30
0
23 Mar 2022
Graph Neural Networks for Wireless Communications: From Theory to
  Practice
Graph Neural Networks for Wireless Communications: From Theory to Practice
Yifei Shen
Jun Zhang
Shenghui Song
Khaled B. Letaief
GNN
AI4CE
43
112
0
21 Mar 2022
CrossBeam: Learning to Search in Bottom-Up Program Synthesis
CrossBeam: Learning to Search in Bottom-Up Program Synthesis
Kensen Shi
H. Dai
Kevin Ellis
Charles Sutton
NAI
11
24
0
20 Mar 2022
Graph Representation Learning with Individualization and Refinement
Graph Representation Learning with Individualization and Refinement
Mohammed Haroon Dupty
W. Lee
22
2
0
17 Mar 2022
Practical Conditional Neural Processes Via Tractable Dependent
  Predictions
Practical Conditional Neural Processes Via Tractable Dependent Predictions
Stratis Markou
James Requeima
W. Bruinsma
Anna Vaughan
Richard Turner
UQCV
AI4CE
36
24
0
16 Mar 2022
Neural RF SLAM for unsupervised positioning and mapping with channel
  state information
Neural RF SLAM for unsupervised positioning and mapping with channel state information
Shreya Kadambi
Arash Behboodi
Joseph B. Soriaga
Max Welling
Roohollah Amiri
S. Yerramalli
Taesang Yoo
22
11
0
15 Mar 2022
Incorporating Heterophily into Graph Neural Networks for Graph
  Classification
Incorporating Heterophily into Graph Neural Networks for Graph Classification
Jiayi Yang
Sourav Medya
Wei Ye
38
4
0
15 Mar 2022
Permutation Invariant Representations with Applications to Graph Deep
  Learning
Permutation Invariant Representations with Applications to Graph Deep Learning
R. Balan
Naveed Haghani
M. Singh
31
25
0
14 Mar 2022
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