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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 / 1,556 papers shown
Integrating Transductive And Inductive Embeddings Improves Link
  Prediction Accuracy
Integrating Transductive And Inductive Embeddings Improves Link Prediction AccuracyInternational Conference on Information and Knowledge Management (CIKM), 2021
Chitrank Gupta
Yash Jain
A. De
Soumen Chakrabarti
AI4CE
167
9
0
23 Aug 2021
Efficient Gaussian Neural Processes for Regression
Efficient Gaussian Neural Processes for Regression
Stratis Markou
James Requeima
W. Bruinsma
Richard Turner
UQCVBDL
224
10
0
22 Aug 2021
Investigating transformers in the decomposition of polygonal shapes as
  point collections
Investigating transformers in the decomposition of polygonal shapes as point collections
A. Alfieri
Yancong Lin
Jan van Gemert
ViT3DPC
203
2
0
17 Aug 2021
U-mesh: Human Correspondence Matching with Mesh Convolutional Networks
U-mesh: Human Correspondence Matching with Mesh Convolutional Networks
B. Groisser
A. Wolf
Ron Kimmel
3DH
132
0
0
15 Aug 2021
LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using
  Permutohedral Lattices
LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral LatticesAutonomous Robots (Auton. Robots), 2021
R. Rosu
Peer Schütt
Jan Quenzel
Sven Behnke
3DPC
210
37
0
09 Aug 2021
Learning to Elect
Learning to ElectNeural Information Processing Systems (NeurIPS), 2021
Cem Anil
Xuchan Bao
193
12
0
05 Aug 2021
Redatuming physical systems using symmetric autoencoders
Redatuming physical systems using symmetric autoencodersPhysical Review Research (Phys. Rev. Res.), 2021
P. Bharadwaj
Matthew T.C. Li
L. Demanet
168
6
0
05 Aug 2021
Fuzzy Logic Based Logical Query Answering on Knowledge Graphs
Fuzzy Logic Based Logical Query Answering on Knowledge GraphsAAAI Conference on Artificial Intelligence (AAAI), 2021
X. Chen
Ziniu Hu
Luke Huan
197
39
0
05 Aug 2021
Distributed Learning for Time-varying Networks: A Scalable Design
Distributed Learning for Time-varying Networks: A Scalable Design
Jian Wang
Yourui Huangfu
Rong Li
Yiqun Ge
Jun Wang
121
1
0
31 Jul 2021
Whole Slide Images are 2D Point Clouds: Context-Aware Survival
  Prediction using Patch-based Graph Convolutional Networks
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional NetworksInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Richard J. Chen
Ming Y. Lu
Muhammad Shaban
Chengkuan Chen
Tiffany Y. Chen
Drew F. K. Williamson
Faisal Mahmood
3DPCMedIm
323
226
0
27 Jul 2021
Circular-Symmetric Correlation Layer based on FFT
Circular-Symmetric Correlation Layer based on FFT
Bahar Azari
Deniz Erdogmus
126
1
0
26 Jul 2021
Reasoning-Modulated Representations
Reasoning-Modulated RepresentationsLOG IN (LOG IN), 2021
Petar Velivcković
Matko Bovsnjak
Thomas Kipf
Alexander Lerchner
R. Hadsell
Razvan Pascanu
Charles Blundell
OCLOODSSL
301
16
0
19 Jul 2021
Equivariant Manifold Flows
Equivariant Manifold FlowsNeural Information Processing Systems (NeurIPS), 2021
Isay Katsman
Aaron Lou
Derek Lim
Qingxuan Jiang
Ser-Nam Lim
Christopher De Sa
AI4CE
159
26
0
19 Jul 2021
PICASO: Permutation-Invariant Cascaded Attentional Set Operator
PICASO: Permutation-Invariant Cascaded Attentional Set Operator
Samira Zare
H. Nguyen
225
5
0
17 Jul 2021
From block-Toeplitz matrices to differential equations on graphs:
  towards a general theory for scalable masked Transformers
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked TransformersInternational Conference on Machine Learning (ICML), 2021
K. Choromanski
Han Lin
Haoxian Chen
Tianyi Zhang
Arijit Sehanobish
Valerii Likhosherstov
Jack Parker-Holder
Tamás Sarlós
Adrian Weller
Thomas Weingarten
432
45
0
16 Jul 2021
USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization
  Problems
USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization ProblemsNeural Information Processing Systems (NeurIPS), 2021
G. Tong
283
6
0
15 Jul 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
Paul Pu Liang
Yiwei Lyu
Xiang Fan
Zetian Wu
Yun Cheng
...
Peter Wu
Michelle A. Lee
Yuke Zhu
Ruslan Salakhutdinov
Louis-Philippe Morency
VLM
294
224
0
15 Jul 2021
High-level Decisions from a Safe Maneuver Catalog with Reinforcement
  Learning for Safe and Cooperative Automated Merging
High-level Decisions from a Safe Maneuver Catalog with Reinforcement Learning for Safe and Cooperative Automated MergingInternational Conference on Intelligent Transportation Systems (ITSC), 2021
Danial Kamran
Yu Ren
Martin Lauer
134
10
0
15 Jul 2021
Minimizing Safety Interference for Safe and Comfortable Automated
  Driving with Distributional Reinforcement Learning
Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Danial Kamran
Tizian Engelgeh
M. Busch
Johannes Fischer
Christoph Stiller
OffRL
672
31
0
15 Jul 2021
Zero-Round Active Learning
Zero-Round Active Learning
Si-An Chen
Tianhao Wang
R. Jia
268
5
0
14 Jul 2021
Combiner: Full Attention Transformer with Sparse Computation Cost
Combiner: Full Attention Transformer with Sparse Computation Cost
Hongyu Ren
H. Dai
Zihang Dai
Mengjiao Yang
J. Leskovec
Dale Schuurmans
Bo Dai
353
93
0
12 Jul 2021
Learning Concept Lengths Accelerates Concept Learning in ALC
Learning Concept Lengths Accelerates Concept Learning in ALCExtended Semantic Web Conference (ESWC), 2021
N'Dah Jean Kouagou
Stefan Heindorf
Caglar Demir
A. N. Ngomo
277
18
0
10 Jul 2021
ABD-Net: Attention Based Decomposition Network for 3D Point Cloud
  Decomposition
ABD-Net: Attention Based Decomposition Network for 3D Point Cloud Decomposition
Siddharth Katageri
S. V. Kudari
Akshaykumar Gunari
R. Tabib
U. Mudenagudi
3DPC
145
5
0
09 Jul 2021
Locally differentially private estimation of nonlinear functionals of
  discrete distributions
Locally differentially private estimation of nonlinear functionals of discrete distributions
C. Butucea
Yann Issartel
221
3
0
08 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity
Meta-learning Amidst Heterogeneity and Ambiguity
Kyeongryeol Go
Seyoung Yun
256
1
0
05 Jul 2021
Particle Convolution for High Energy Physics
Particle Convolution for High Energy Physics
C. Shimmin
220
16
0
05 Jul 2021
Universal Approximation of Functions on Sets
Universal Approximation of Functions on Sets
E. Wagstaff
F. Fuchs
Martin Engelcke
Michael A. Osborne
Ingmar Posner
PINN
415
74
0
05 Jul 2021
Partition and Code: learning how to compress graphs
Partition and Code: learning how to compress graphs
Giorgos Bouritsas
Andreas Loukas
Nikolaos Karalias
M. Bronstein
259
20
0
05 Jul 2021
Survey: Leakage and Privacy at Inference Time
Survey: Leakage and Privacy at Inference Time
Marija Jegorova
Chaitanya Kaul
Charlie Mayor
Alison Q. OÑeil
Alexander Weir
Roderick Murray-Smith
Sotirios A. Tsaftaris
PILMMIACV
274
87
0
04 Jul 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from
  Datasets
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
Hayeon Lee
Eunyoung Hyung
Sung Ju Hwang
282
53
0
02 Jul 2021
Few-shot Learning for Unsupervised Feature Selection
Few-shot Learning for Unsupervised Feature Selection
Atsutoshi Kumagai
Tomoharu Iwata
Yasuhiro Fujiwara
SSL
176
6
0
02 Jul 2021
Meta-Learning for Relative Density-Ratio Estimation
Meta-Learning for Relative Density-Ratio Estimation
Atsutoshi Kumagai
Tomoharu Iwata
Yasuhiro Fujiwara
272
11
0
02 Jul 2021
Relational VAE: A Continuous Latent Variable Model for Graph Structured
  Data
Relational VAE: A Continuous Latent Variable Model for Graph Structured Data
Charilaos Mylonas
I. Abdallah
Eleni Chatzi
BDL
128
2
0
30 Jun 2021
Edge Representation Learning with Hypergraphs
Edge Representation Learning with HypergraphsNeural Information Processing Systems (NeurIPS), 2021
Jaehyeong Jo
Jinheon Baek
Seul Lee
Dongki Kim
Minki Kang
Sung Ju Hwang
283
84
0
30 Jun 2021
Meta-learning for Matrix Factorization without Shared Rows or Columns
Meta-learning for Matrix Factorization without Shared Rows or Columns
Tomoharu Iwata
119
1
0
29 Jun 2021
Pruning Edges and Gradients to Learn Hypergraphs from Larger Sets
Pruning Edges and Gradients to Learn Hypergraphs from Larger SetsLOG IN (LOG IN), 2021
David W. Zhang
Gertjan J. Burghouts
Cees G. M. Snoek
231
4
0
26 Jun 2021
You are AllSet: A Multiset Function Framework for Hypergraph Neural
  Networks
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
Eli Chien
Chao Pan
Jianhao Peng
O. Milenkovic
GNN
441
185
0
24 Jun 2021
ADAVI: Automatic Dual Amortized Variational Inference Applied To
  Pyramidal Bayesian Models
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models
Louis Rouillard
Demian Wassermann
202
2
0
23 Jun 2021
Boundary Graph Neural Networks for 3D Simulations
Boundary Graph Neural Networks for 3D SimulationsAAAI Conference on Artificial Intelligence (AAAI), 2021
Andreas Mayr
Sebastian Lehner
A. Mayrhofer
C. Kloss
Sepp Hochreiter
Johannes Brandstetter
AI4CE
471
43
0
21 Jun 2021
Lossy Compression for Lossless Prediction
Lossy Compression for Lossless PredictionNeural Information Processing Systems (NeurIPS), 2021
Yann Dubois
Benjamin Bloem-Reddy
Karen Ullrich
Chris J. Maddison
597
74
0
21 Jun 2021
Learning Knowledge Graph-based World Models of Textual Environments
Learning Knowledge Graph-based World Models of Textual EnvironmentsNeural Information Processing Systems (NeurIPS), 2021
Prithviraj Ammanabrolu
Mark O. Riedl
3DV
324
38
0
17 Jun 2021
Tackling the Challenges in Scene Graph Generation with Local-to-Global
  Interactions
Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactions
Sangmin Woo
Junhyug Noh
Kangil Kim
429
20
0
16 Jun 2021
First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph
  Prediction Track
First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track
Chengxuan Ying
Mingqi Yang
Shuxin Zheng
Guolin Ke
Shengjie Luo
Tianle Cai
Chenglin Wu
Yuxin Wang
Yanming Shen
Di He
174
11
0
15 Jun 2021
Kernel Identification Through Transformers
Kernel Identification Through Transformers
F. Simpson
Ian Davies
V. Lalchand
A. Vullo
N. Durrande
C. Rasmussen
164
15
0
15 Jun 2021
Query Embedding on Hyper-relational Knowledge Graphs
Query Embedding on Hyper-relational Knowledge Graphs
Dimitrios Alivanistos
M. Berrendorf
Michael Cochez
Mikhail Galkin
193
27
0
15 Jun 2021
Contextualizing Meta-Learning via Learning to Decompose
Contextualizing Meta-Learning via Learning to Decompose
Han-Jia Ye
Da-Wei Zhou
Lanqing Hong
Zhenguo Li
Xiu-Shen Wei
De-Chuan Zhan
209
9
0
15 Jun 2021
Learning Autonomy in Management of Wireless Random Networks
Learning Autonomy in Management of Wireless Random Networks
Hoon Lee
Sang Hyun Lee
Tony Q.S. Quek
266
7
0
15 Jun 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework
  for Link Prediction
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link PredictionNeural Information Processing Systems (NeurIPS), 2021
Zhaocheng Zhu
Zuobai Zhang
Louis-Pascal Xhonneux
Jian Tang
GNN
474
438
0
13 Jun 2021
Equivariant Networks for Pixelized Spheres
Equivariant Networks for Pixelized SpheresInternational Conference on Machine Learning (ICML), 2021
Mehran Shakerinava
Siamak Ravanbakhsh
3DPC
218
19
0
12 Jun 2021
Pay Attention with Focus: A Novel Learning Scheme for Classification of
  Whole Slide Images
Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide ImagesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Shivam Kalra
Mohammed Adnan
S. Hemati
Taher Dehkharghanian
Shahryar Rahnamayan
Hamid Tizhoosh
162
13
0
11 Jun 2021
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