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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
SALD: Sign Agnostic Learning with Derivatives
SALD: Sign Agnostic Learning with Derivatives
Matan Atzmon
Y. Lipman
310
161
0
09 Jun 2020
Wavelet Networks: Scale-Translation Equivariant Learning From Raw
  Time-Series
Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series
David W. Romero
Erik J. Bekkers
Jakub M. Tomczak
Mark Hoogendoorn
216
5
0
09 Jun 2020
Lorentz Group Equivariant Neural Network for Particle Physics
Lorentz Group Equivariant Neural Network for Particle Physics
A. Bogatskiy
Brandon M. Anderson
Jan T. Offermann
M. Roussi
David W. Miller
Risi Kondor
AI4CE
245
157
0
08 Jun 2020
Supervised Whole DAG Causal Discovery
Supervised Whole DAG Causal Discovery
Hebi Li
Qi Xiao
Jin Tian
CML
188
22
0
08 Jun 2020
Optimal Transport Graph Neural Networks
Optimal Transport Graph Neural Networks
Benson Chen
Gary Bécigneul
O. Ganea
Regina Barzilay
Tommi Jaakkola
OT
415
48
0
08 Jun 2020
Learning 3D-3D Correspondences for One-shot Partial-to-partial
  Registration
Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration
Zheng Dang
Fei Wang
Mathieu Salzmann
3DPC
156
19
0
08 Jun 2020
GroupIM: A Mutual Information Maximization Framework for Neural Group
  Recommendation
GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation
Aravind Sankar
Yanhong Wu
Yuhang Wu
Wei Zhang
Hao Yang
Hari Sundaram
AI4TS
225
107
0
05 Jun 2020
Equivariant Maps for Hierarchical Structures
Equivariant Maps for Hierarchical Structures
Renhao Wang
Marjan Albooyeh
Siamak Ravanbakhsh
3DPC
140
14
0
05 Jun 2020
Integrating Machine Learning with Physics-Based Modeling
Integrating Machine Learning with Physics-Based Modeling
E. Weinan
Jiequn Han
Linfeng Zhang
PINNAI4CE
152
26
0
04 Jun 2020
Info3D: Representation Learning on 3D Objects using Mutual Information
  Maximization and Contrastive Learning
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive LearningEuropean Conference on Computer Vision (ECCV), 2020
Aditya Sanghi
3DPCSSL
225
122
0
04 Jun 2020
Studying The Effect of MIL Pooling Filters on MIL Tasks
Studying The Effect of MIL Pooling Filters on MIL Tasks
Mustafa Umit Oner
Jared Marc Song Kye-Jet
H. Lee
Wing-Kin Sung
158
8
0
02 Jun 2020
Towards Feature-free TSP Solver Selection: A Deep Learning Approach
Towards Feature-free TSP Solver Selection: A Deep Learning Approach
Kangfei Zhao
Shengcai Liu
Yu Rong
Jianwei Yu
260
2
0
01 Jun 2020
Normalized Attention Without Probability Cage
Normalized Attention Without Probability Cage
Oliver Richter
Roger Wattenhofer
252
22
0
19 May 2020
Efficient Image Gallery Representations at Scale Through Multi-Task
  Learning
Efficient Image Gallery Representations at Scale Through Multi-Task Learning
Benjamin Gutelman
Pavel Levin
149
3
0
18 May 2020
Improving Learning Efficiency for Wireless Resource Allocation with
  Symmetric Prior
Improving Learning Efficiency for Wireless Resource Allocation with Symmetric Prior
Chengjian Sun
Jiajun Wu
Chenyang Yang
250
21
0
18 May 2020
High-dimensional Convolutional Networks for Geometric Pattern
  Recognition
High-dimensional Convolutional Networks for Geometric Pattern Recognition
Chris Choy
Junha Lee
René Ranftl
Jaesik Park
V. Koltun
3DPCAI4CE
169
50
0
17 May 2020
Detecting Parkinsonian Tremor from IMU Data Collected In-The-Wild using
  Deep Multiple-Instance Learning
Detecting Parkinsonian Tremor from IMU Data Collected In-The-Wild using Deep Multiple-Instance LearningIEEE journal of biomedical and health informatics (IEEE JBHI), 2019
Alexandros Papadopoulos
Konstantinos A Kyritsis
L. Klingelhoefer
S. Bostantjopoulou
K. Chaudhuri
A. Delopoulos
105
63
0
06 May 2020
Regex Queries over Incomplete Knowledge Bases
Regex Queries over Incomplete Knowledge BasesConference on Automated Knowledge Base Construction (AKBC), 2020
Vaibhav Adlakha
Parth Shah
Srikanta J. Bedathur
Mausam
264
2
0
01 May 2020
Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved
  Transferability
Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved TransferabilityEuropean Symposium on Security and Privacy (EuroS&P), 2020
H. Aghakhani
Dongyu Meng
Yu-Xiang Wang
Christopher Kruegel
Giovanni Vigna
AAML
315
122
0
01 May 2020
Few-Shot Learning for Opinion Summarization
Few-Shot Learning for Opinion Summarization
Arthur Brazinskas
Mirella Lapata
Ivan Titov
150
2
0
30 Apr 2020
Convex Representation Learning for Generalized Invariance in
  Semi-Inner-Product Space
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product SpaceInternational Conference on Machine Learning (ICML), 2020
Yingyi Ma
Vignesh Ganapathiraman
Yaoliang Yu
Xinhua Zhang
228
1
0
25 Apr 2020
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic
  Question Answering and Spatial Semantic Lifting
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting
Gengchen Mai
K. Janowicz
Ling Cai
Rui Zhu
Blake Regalia
Bo Yan
Meilin Shi
Ni Lao
227
93
0
25 Apr 2020
Towards Differentiable Resampling
Towards Differentiable Resampling
Michael Zhu
Kevin Patrick Murphy
Rico Jonschkowski
172
29
0
24 Apr 2020
Amortized Bayesian model comparison with evidential deep learning
Amortized Bayesian model comparison with evidential deep learning
Stefan T. Radev
Marco D’Alessandro
U. Mertens
A. Voss
Ullrich Kothe
Paul-Christian Bürkner
BDL
305
40
0
22 Apr 2020
Representation Learning of Histopathology Images using Graph Neural
  Networks
Representation Learning of Histopathology Images using Graph Neural Networks
Mohammed Adnan
Shivam Kalra
Hamid R. Tizhoosh
OOD
135
111
0
16 Apr 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
760
2,389
0
11 Apr 2020
SpatialSim: Recognizing Spatial Configurations of Objects with Graph
  Neural Networks
SpatialSim: Recognizing Spatial Configurations of Objects with Graph Neural Networks
Laetitia Teodorescu
Katja Hofmann
Pierre-Yves Oudeyer
208
1
0
09 Apr 2020
The general theory of permutation equivarant neural networks and higher
  order graph variational encoders
The general theory of permutation equivarant neural networks and higher order graph variational encoders
Erik H. Thiede
Truong-Son Hy
Risi Kondor
189
38
0
08 Apr 2020
Faithful Embeddings for Knowledge Base Queries
Faithful Embeddings for Knowledge Base Queries
Haitian Sun
Andrew O. Arnold
Tania Bedrax-Weiss
Fernando Pereira
William W. Cohen
RALM
276
5
0
07 Apr 2020
Let's Agree to Degree: Comparing Graph Convolutional Networks in the
  Message-Passing Framework
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing FrameworkInternational Conference on Machine Learning (ICML), 2020
Floris Geerts
Filip Mazowiecki
Guillermo A. Pérez
GNN
213
41
0
06 Apr 2020
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets
  for 3D Generation, Reconstruction and Classification
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and ClassificationComputer Vision and Pattern Recognition (CVPR), 2020
Jianwen Xie
Yifei Xu
Zilong Zheng
Song-Chun Zhu
Ying Nian Wu
3DPC
381
88
0
02 Apr 2020
Compact Deep Aggregation for Set Retrieval
Compact Deep Aggregation for Set Retrieval
Yujie Zhong
Relja Arandjelović
Andrew Zisserman
CVBM3DH
150
15
0
26 Mar 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OODAI4CE
347
141
0
26 Mar 2020
Learning Object Permanence from Video
Learning Object Permanence from VideoEuropean Conference on Computer Vision (ECCV), 2020
Aviv Shamsian
Ofri Kleinfeld
Amir Globerson
Gal Chechik
SSL
371
35
0
23 Mar 2020
Deep Sets for Generalization in RL
Deep Sets for Generalization in RL
Tristan Karch
Cédric Colas
Laetitia Teodorescu
Clément Moulin-Frier
Pierre-Yves Oudeyer
OffRLAI4CE
120
6
0
20 Mar 2020
Exchangeable Input Representations for Reinforcement Learning
Exchangeable Input Representations for Reinforcement LearningAmerican Control Conference (ACC), 2020
John Mern
Dorsa Sadigh
Mykel J. Kochenderfer
215
5
0
19 Mar 2020
Burst Denoising of Dark Images
Ahmet Serdar Karadeniz
Erkut Erdem
Aykut Erdem
108
0
0
17 Mar 2020
Multimodal Shape Completion via Conditional Generative Adversarial
  Networks
Multimodal Shape Completion via Conditional Generative Adversarial NetworksEuropean Conference on Computer Vision (ECCV), 2020
Rundi Wu
Xuelin Chen
Yixin Zhuang
Baoquan Chen
3DPC
289
95
0
17 Mar 2020
Energy-Based Processes for Exchangeable Data
Energy-Based Processes for Exchangeable DataInternational Conference on Machine Learning (ICML), 2020
Mengjiao Yang
Bo Dai
H. Dai
Dale Schuurmans
208
13
0
17 Mar 2020
Educational Question Mining At Scale: Prediction, Analysis and
  Personalization
Educational Question Mining At Scale: Prediction, Analysis and Personalization
Zichao Wang
Sebastian Tschiatschek
Simon Woodhead
Jose Miguel Hernandez-Lobato
Simon L. Peyton Jones
Richard G. Baraniuk
Cheng Zhang
AI4Ed
103
2
0
12 Mar 2020
How Powerful Are Randomly Initialized Pointcloud Set Functions?
How Powerful Are Randomly Initialized Pointcloud Set Functions?
Aditya Sanghi
P. Jayaraman
3DPC
114
3
0
11 Mar 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Online Meta-Critic Learning for Off-Policy Actor-Critic MethodsNeural Information Processing Systems (NeurIPS), 2020
Wei Zhou
Yiying Li
Yongxin Yang
Huaimin Wang
Timothy M. Hospedales
OffRL
163
52
0
11 Mar 2020
Incremental Few-Shot Object Detection
Incremental Few-Shot Object DetectionComputer Vision and Pattern Recognition (CVPR), 2020
Juan-Manuel Perez-Rua
Xiatian Zhu
Timothy M. Hospedales
Tao Xiang
ObjDCLL
164
251
0
10 Mar 2020
Better Set Representations For Relational Reasoning
Better Set Representations For Relational Reasoning
Qian Huang
Horace He
Ashutosh Kumar Singh
Yan Zhang
Ser-Nam Lim
Austin R. Benson
NAIOCLGNN
306
1
0
09 Mar 2020
A Survey on The Expressive Power of Graph Neural Networks
A Survey on The Expressive Power of Graph Neural Networks
Ryoma Sato
691
191
0
09 Mar 2020
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using
  Learned Interactions
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned InteractionsIEEE International Conference on Robotics and Automation (ICRA), 2020
Guanya Shi
Wolfgang Hönig
Yisong Yue
Soon-Jo Chung
201
72
0
06 Mar 2020
Deep Multi-Modal Sets
Deep Multi-Modal Sets
A. Reiter
Menglin Jia
Pu Yang
Ser-Nam Lim
BDL
222
4
0
03 Mar 2020
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement
  Learning
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2020
Haozhe Jasper Wang
Jiale Zhou
Xuming He
OffRLLRM
167
18
0
03 Mar 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Point-GNN: Graph Neural Network for 3D Object Detection in a Point CloudComputer Vision and Pattern Recognition (CVPR), 2020
Weijing Shi
Ragunathan
R. Rajkumar
3DPC
478
856
0
02 Mar 2020
A Permutation-Equivariant Neural Network Architecture For Auction Design
A Permutation-Equivariant Neural Network Architecture For Auction DesignAAAI Conference on Artificial Intelligence (AAAI), 2020
Jad Rahme
Samy Jelassi
Joan Bruna
S. M. Weinberg
257
58
0
02 Mar 2020
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