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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
Re-assign community
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Papers citing
"Deep Sets"
50 / 1,556 papers shown
Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition
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Siegfried Ludwig
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105
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01 Feb 2022
Equivariant neural networks for recovery of Hadamard matrices
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Hugo Penedones
114
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31 Jan 2022
RiskNet: Neural Risk Assessment in Networks of Unreliable Resources
Journal of Network and Systems Management (JNSM), 2022
Krzysztof Rusek
Piotr Boryło
P. Jaglarz
Fabien Geyer
A. Cabellos
P. Chołda
239
4
0
28 Jan 2022
Generative Coarse-Graining of Molecular Conformations
International Conference on Machine Learning (ICML), 2022
Wujie Wang
Minkai Xu
Chen Cai
Benjamin Kurt Miller
Tess E. Smidt
Yusu Wang
Jian Tang
Rafael Gómez-Bombarelli
162
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28 Jan 2022
HEAT: Hyperedge Attention Networks
Dobrik Georgiev
Marc Brockschmidt
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243
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0
28 Jan 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
International Conference on Machine Learning (ICML), 2022
Rui Wang
Robin Walters
Rose Yu
358
102
0
28 Jan 2022
Learning Graph Augmentations to Learn Graph Representations
Kaveh Hassani
Amir Hosein Khas Ahmadi
218
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24 Jan 2022
Revisiting Global Pooling through the Lens of Optimal Transport
Minjie Cheng
Hongteng Xu
142
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23 Jan 2022
Cross-Domain Few-Shot Graph Classification
AAAI Conference on Artificial Intelligence (AAAI), 2022
Kaveh Hassani
310
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20 Jan 2022
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning
IEEE transactions on multimedia (IEEE TMM), 2022
Mingye Xu
Yali Wang
Zhipeng Zhou
Hongbin Xu
Yu Qiao
3DPC
198
17
0
20 Jan 2022
Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning
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E. Kalinicheva
Loic Landrieu
Clement Mallet
N. Chehata
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AI4CE
122
7
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20 Jan 2022
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning
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Baicen Xiao
Bhaskar Ramasubramanian
Radha Poovendran
208
8
0
12 Jan 2022
FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging
IEEE Transactions on Image Processing (IEEE TIP), 2022
Sibi Catley-Chandar
T. Tanay
Lucas Vandroux
A. Leonardis
Greg Slabaugh
Eduardo Pérez-Pellitero
299
21
0
07 Jan 2022
Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction
Proceedings of the VLDB Endowment (PVLDB), 2022
Benjamin Hilprecht
Carsten Binnig
AI4TS
144
77
0
03 Jan 2022
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification
Jorge F. Silva
Felipe A. Tobar
Mario L. Vicuna
Felipe Cordova
170
2
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30 Dec 2021
Persformer: A Transformer Architecture for Topological Machine Learning
Raphael Reinauer
Matteo Caorsi
Nicolas Berkouk
208
19
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30 Dec 2021
DeepHAM: A Global Solution Method for Heterogeneous Agent Models with Aggregate Shocks
Social Science Research Network (SSRN), 2021
Jiequn Han
Yucheng Yang
Weinan E
122
27
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29 Dec 2021
NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems
F. Vicentini
Damian Hofmann
A. Szabó
Dian Wu
Christopher Roth
...
Gabriel Pescia
J. Nys
Santiago Acevedo-Mancera
N. Astrakhantsev
Giuseppe Carleo
168
122
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20 Dec 2021
Weisfeiler and Leman go Machine Learning: The Story so far
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Christopher Morris
Y. Lipman
Haggai Maron
Bastian Rieck
Nils M. Kriege
Martin Grohe
Matthias Fey
Karsten Borgwardt
GNN
412
134
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18 Dec 2021
Set Twister for Single-hop Node Classification
Yangze Zhou
Vinayak A. Rao
Bruno Ribeiro
135
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0
17 Dec 2021
Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction
Guang-Sheng Chen
Meiling Wang
Yufeng Yue
Qingxiang Zhang
Li-xin Yuan
ViT
244
33
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17 Dec 2021
A New Perspective on the Effects of Spectrum in Graph Neural Networks
Mingqi Yang
Yanming Shen
Rui Li
Heng Qi
Qian Zhang
Baocai Yin
GNN
286
37
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14 Dec 2021
Graph Kernel Neural Networks
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Luca Cosmo
G. Minello
Alessandro Bicciato
M. Bronstein
Emanuele Rodolà
Luca Rossi
A. Torsello
GNN
217
25
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14 Dec 2021
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings
Yuzhe Lu
Hengrong Du
Andrea Soltoggio
Soheil Kolouri
217
9
0
11 Dec 2021
Equivariant Quantum Graph Circuits
Péter Mernyei
K. Meichanetzidis
.Ismail .Ilkan Ceylan
243
9
0
10 Dec 2021
End-to-end Alexa Device Arbitration
Jarred Barber
Yifeng Fan
Tao Zhang
156
3
0
08 Dec 2021
Machine Learning in the Search for New Fundamental Physics
G. Karagiorgi
Gregor Kasieczka
S. Kravitz
Benjamin Nachman
David Shih
AI4CE
215
141
0
07 Dec 2021
Permutation Equivariant Generative Adversarial Networks for Graphs
Yoann Boget
Magda Gregorova
Alexandros Kalousis
GAN
116
0
0
07 Dec 2021
Explicitly antisymmetrized neural network layers for variational Monte Carlo simulation
Jeffmin Lin
Gil Goldshlager
Lin Lin
214
29
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Self-supervised Graph Learning for Occasional Group Recommendation
International Journal of Intelligent Systems (IJIS), 2021
Bowen Hao
Hongzhi Yin
Cuiping Li
Hong Chen
467
8
0
04 Dec 2021
Frame Averaging for Equivariant Shape Space Learning
Matan Atzmon
Koki Nagano
Sanja Fidler
S. Khamis
Y. Lipman
FedML
218
17
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03 Dec 2021
Residual Pathway Priors for Soft Equivariance Constraints
Marc Finzi
Gregory W. Benton
A. Wilson
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216
76
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02 Dec 2021
CloudWalker: Random walks for 3D point cloud shape analysis
Adi Mesika
Yizhak Ben-Shabat
A. Tal
3DPC
307
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02 Dec 2021
Label-Free Model Evaluation with Semi-Structured Dataset Representations
Xiaoxiao Sun
Yunzhong Hou
Hongdong Li
Liang Zheng
205
12
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01 Dec 2021
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds
Georg Bökman
Fredrik Kahl
Axel Flinth
3DPC
185
21
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30 Nov 2021
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
Balakrishnan Varadarajan
Ahmed S. Hefny
A. Srivastava
Khaled S. Refaat
Nigamaa Nayakanti
...
K. Chen
B. Douillard
C. Lam
Drago Anguelov
Benjamin Sapp
530
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0
29 Nov 2021
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration
Lorenzo Ferretti
Andrea Cini
Georgios Zacharopoulos
Cesare Alippi
L. Pozzi
150
5
0
29 Nov 2021
ModelPred: A Framework for Predicting Trained Model from Training Data
Yingyan Zeng
Jiachen T. Wang
Si-An Chen
H. Just
Ran Jin
R. Jia
TDI
MU
261
4
0
24 Nov 2021
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation
Yan Zhang
David W. Zhang
Damien Scieur
Gertjan J. Burghouts
Cees G. M. Snoek
BDL
233
22
0
23 Nov 2021
Graph Neural Networks with Parallel Neighborhood Aggregations for Graph Classification
IEEE Transactions on Signal Processing (IEEE TSP), 2021
Siddhant Doshi
S. Chepuri
GNN
244
7
0
22 Nov 2021
Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Daizong Liu
Wei Hu
3DPC
271
78
0
22 Nov 2021
CpT: Convolutional Point Transformer for 3D Point Cloud Processing
Chaitanya Kaul
Joshua Mitton
H. Dai
Roderick Murray-Smith
3DPC
120
11
0
21 Nov 2021
What Stops Learning-based 3D Registration from Working in the Real World?
Zheng Dang
Lizhou Wang
Junning Qiu
M. Lu
Mathieu Salzmann
3DPC
96
0
0
19 Nov 2021
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N'Dah Jean Kouagou
Stefan Heindorf
Caglar Demir
A. N. Ngomo
288
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On-Demand Unlabeled Personalized Federated Learning
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G. Eyal
Gal Chechik
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Background-Aware 3D Point Cloud Segmentationwith Dynamic Point Feature Aggregation
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021
Jiajing Chen
Burak Kakillioglu
Senem Velipasalar
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151
41
0
14 Nov 2021
Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes
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Ling Cai
K. Janowicz
Bo Yan
Rui Zhu
Gengchen Mai
211
18
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Understanding the Generalization Benefit of Model Invariance from a Data Perspective
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Bang An
Furong Huang
220
30
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K. Janowicz
Yingjie Hu
Song Gao
Bo Yan
Rui Zhu
Ling Cai
Ni Lao
301
149
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07 Nov 2021
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