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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
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Desi R. Ivanova
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Tom Rainforth
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03 Nov 2021
Equivariant Deep Dynamical Model for Motion Prediction
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Bahar Azari
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260
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0
02 Nov 2021
End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization
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The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs
Govind Sharma
Swyam Prakash Singh
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M. Murty
147
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30 Oct 2021
Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs
Jinwoo Kim
Saeyoon Oh
Seunghoon Hong
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205
45
0
27 Oct 2021
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data
Zhibo Zhu
Ziqi Liu
Ge Jin
Qing Cui
Lei Chen
Jun Zhou
Jianyong Zhou
AI4TS
155
15
0
27 Oct 2021
Learning Graph Cellular Automata
Daniele Grattarola
L. Livi
Cesare Alippi
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149
39
0
27 Oct 2021
ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs
Zhanqiu Zhang
Jie Wang
Jiajun Chen
Shuiwang Ji
Feng Wu
290
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26 Oct 2021
Nested Graph Neural Networks
Neural Information Processing Systems (NeurIPS), 2021
Muhan Zhang
Pan Li
320
196
0
25 Oct 2021
Self-learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections
Jiyoung Lee
Jianhua Jiang
Tianze Zhu
Shengbo Eben Li
Jingliang Duan
Chen Chen
Keqiang Li
176
18
0
24 Oct 2021
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation
International Conference on Machine Learning (ICML), 2021
Giorgio Giannone
Fattane Pourakpour
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155
11
0
23 Oct 2021
Time-domain Ad-hoc Array Speech Enhancement Using a Triple-path Network
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Ashutosh Pandey
Buye Xu
Anurag Kumar
Jacob Donley
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DeLiang Wang
223
12
0
22 Oct 2021
Neural-guided, Bidirectional Program Search for Abstraction and Reasoning
International Workshop on Complex Networks & Their Applications (CompleNet), 2021
Simon Alford
Anshul Gandhi
Akshay Rangamani
Andrzej Banburski
Tony Wang
Sylee Dandekar
John Chin
T. Poggio
S. Chin
LRM
280
24
0
22 Oct 2021
Improving GNSS Positioning using Neural Network-based Corrections
Ashwin V. Kanhere
Shubh Gupta
Akshay Shetty
Grace Gao
AAML
196
49
0
18 Oct 2021
Beltrami Flow and Neural Diffusion on Graphs
B. Chamberlain
J. Rowbottom
D. Eynard
Francesco Di Giovanni
Xiaowen Dong
M. Bronstein
AI4CE
264
98
0
18 Oct 2021
Learning Prototype-oriented Set Representations for Meta-Learning
D. Guo
Longlong Tian
Minghe Zhang
Mingyuan Zhou
H. Zha
OOD
156
26
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18 Oct 2021
Equivariant and Invariant Reynolds Networks
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M. Kawano
Wataru Kumagai
143
6
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15 Oct 2021
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H. Jomaa
Jonas K. Falkner
Lars Schmidt-Thieme
152
0
0
15 Oct 2021
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
M. Farrell
Blake Bordelon
Shubhendu Trivedi
Cengiz Pehlevan
401
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14 Oct 2021
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Bryan He
M. Thomson
Meena Subramaniam
Richard K. Perez
Chun Jimmie Ye
J. Zou
46
22
0
13 Oct 2021
Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty
International Conference on Learning Representations (ICLR), 2021
Jeffrey Willette
Haebeom Lee
Juho Lee
Sung Ju Hwang
OODD
OOD
253
2
0
12 Oct 2021
Implicit Bias of Linear Equivariant Networks
International Conference on Machine Learning (ICML), 2021
Hannah Lawrence
Kristian Georgiev
A. Dienes
B. Kiani
AI4CE
244
18
0
12 Oct 2021
A Survey of Online Auction Mechanism Design Using Deep Learning Approaches
Zhanhao Zhang
226
8
0
11 Oct 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
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Qitian Wu
Chenxiao Yang
Junchi Yan
211
35
0
09 Oct 2021
Design Strategy Network: A deep hierarchical framework to represent generative design strategies in complex action spaces
Ayush Raina
Jonathan Cagan
Christopher McComb
AI4CE
200
13
0
07 Oct 2021
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
Lingxiao Zhao
Wei Jin
Leman Akoglu
Neil Shah
GNN
466
201
0
07 Oct 2021
Equivariant Subgraph Aggregation Networks
Beatrice Bevilacqua
Fabrizio Frasca
Derek Lim
Ninad Kulkarni
Chen Cai
G. Balamurugan
M. Bronstein
Haggai Maron
432
209
0
06 Oct 2021
Geometric Algebra Attention Networks for Small Point Clouds
Matthew Spellings
3DPC
208
12
0
05 Oct 2021
Top-N: Equivariant set and graph generation without exchangeability
Clément Vignac
P. Frossard
BDL
403
40
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05 Oct 2021
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Leonardo Cotta
Christopher Morris
Bruno Ribeiro
AI4CE
521
90
0
01 Oct 2021
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators
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Masataro Asai
Rohan Chitnis
Tom Silver
L. Kaelbling
Shirin Sohrabi
Michael Katz
OffRL
246
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0
30 Sep 2021
Graph Neural Network-based Resource Allocation Strategies for Multi-Object Spectroscopy
Tianshu Wang
P. Melchior
181
8
0
27 Sep 2021
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Zhe Wang
J. E. Grigsby
Arshdeep Sekhon
Yanjun Qi
279
7
0
27 Sep 2021
Quantum algorithms for group convolution, cross-correlation, and equivariant transformations
Grecia Castelazo
Quynh T. Nguyen
Giacomo De Palma
Dirk Englund
S. Lloyd
B. Kiani
164
14
0
23 Sep 2021
Introducing Symmetries to Black Box Meta Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2021
Louis Kirsch
Sebastian Flennerhag
Hado van Hasselt
A. Friesen
Junhyuk Oh
Yutian Chen
255
34
0
22 Sep 2021
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans
Jiancheng Yang
Shixuan Gu
Donglai Wei
Hanspeter Pfister
Bingbing Ni
3DPC
161
38
0
17 Sep 2021
Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning
Sumeet Batra
Zhehui Huang
Aleksei Petrenko
T. Kumar
Artem Molchanov
Gaurav Sukhatme
235
57
0
16 Sep 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network
Nima Dehmamy
Robin Walters
Yanchen Liu
Dashun Wang
Rose Yu
AI4CE
302
99
0
15 Sep 2021
WaveCorr: Correlation-savvy Deep Reinforcement Learning for Portfolio Management
S. Marzban
Erick Delage
Jonathan Yu-Meng Li
J. Desgagne-Bouchard
C. Dussault
217
1
0
14 Sep 2021
Formalizing and Estimating Distribution Inference Risks
Anshuman Suri
David Evans
MIACV
434
58
0
13 Sep 2021
A deep learning guided memetic framework for graph coloring problems
Olivier Goudet
Cyril Grelier
Jin‐Kao Hao
GNN
208
31
0
13 Sep 2021
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Yujin Tang
David R Ha
294
83
0
07 Sep 2021
Point-Based Neural Rendering with Per-View Optimization
Georgios Kopanas
Julien Philip
Thomas Leimkuhler
G. Drettakis
391
245
0
06 Sep 2021
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning
Marinos Poiitis
Pavlos Sermpezis
Athena Vakali
203
0
0
06 Sep 2021
Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds
IEEE International Conference on Computer Vision (ICCV), 2021
Siyuan Huang
Yichen Xie
Song-Chun Zhu
Yixin Zhu
3DPC
242
252
0
01 Sep 2021
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts
Masanari Kimura
Takuma Nakamura
Yuki Saito
OOD
223
3
0
30 Aug 2021
ETA Prediction with Graph Neural Networks in Google Maps
International Conference on Information and Knowledge Management (CIKM), 2021
Austin Derrow-Pinion
Jennifer She
David Wong
O. Lange
Todd Hester
...
Ang Li
Zhongwen Xu
Alvaro Sanchez-Gonzalez
Yujia Li
Petar Velivcković
AI4TS
270
280
0
25 Aug 2021
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning
Conference on Computer and Communications Security (CCS), 2021
Hongbin Liu
Jinyuan Jia
Wenjie Qu
Neil Zhenqiang Gong
195
111
0
25 Aug 2021
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