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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
Scalars are universal: Equivariant machine learning, structured like classical physics
Neural Information Processing Systems (NeurIPS), 2021
Soledad Villar
D. Hogg
Kate Storey-Fisher
Weichi Yao
Ben Blum-Smith
PINN
AI4CE
385
150
0
11 Jun 2021
Proximal Optimal Transport Modeling of Population Dynamics
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Charlotte Bunne
Laetitia Meng-Papaxanthos
Andreas Krause
Marco Cuturi
OT
315
106
0
11 Jun 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
International Conference on Machine Learning (ICML), 2021
Matthias Fey
J. E. Lenssen
F. Weichert
J. Leskovec
GNN
182
146
0
10 Jun 2021
A Unified Framework for Task-Driven Data Quality Management
Tianhao Wang
Yi Zeng
Ming Jin
R. Jia
178
14
0
10 Jun 2021
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
International Conference on Machine Learning (ICML), 2021
Ankit Goyal
Hei Law
Bowei Liu
Alejandro Newell
Gaowen Liu
3DPC
313
285
0
09 Jun 2021
GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Jens Petersen
Gregor Koehler
David Zimmerer
Hyunjin Park
Paul F. Jäger
Klaus H. Maier-Hein
BDL
AI4TS
234
3
0
09 Jun 2021
Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks
Changlin Wan
Muhan Zhang
Weiyu Hao
Sha Cao
Pan Li
Fangqiu Yi
231
15
0
08 Jun 2021
Encoding Involutory Invariances in Neural Networks
IEEE International Joint Conference on Neural Network (IJCNN), 2021
Anwesh Bhattacharya
M. Mattheakis
P. Protopapas
182
1
0
07 Jun 2021
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising
Knowledge Discovery and Data Mining (KDD), 2021
Xiangyu Liu
Chuan Yu
Zhilin Zhang
Zhenzhe Zheng
Yu Rong
...
Dagui Chen
Jian Xu
Fan Wu
Guihai Chen
Xiaoqiang Zhu
216
81
0
07 Jun 2021
How Tight Can PAC-Bayes be in the Small Data Regime?
Neural Information Processing Systems (NeurIPS), 2021
Andrew Y. K. Foong
W. Bruinsma
David R. Burt
Richard Turner
316
23
0
07 Jun 2021
Neural Auto-Curricula
Xidong Feng
Oliver Slumbers
Bo Liu
Bo Liu
Alexander Shmakov
Ying Wen
Jun Wang
Yaodong Yang
249
3
0
04 Jun 2021
Emergent Communication of Generalizations
Neural Information Processing Systems (NeurIPS), 2021
Jesse Mu
Noah D. Goodman
AI4CE
LLMAG
285
49
0
04 Jun 2021
Provably Strict Generalisation Benefit for Invariance in Kernel Methods
Neural Information Processing Systems (NeurIPS), 2021
Bryn Elesedy
225
30
0
04 Jun 2021
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Mingde Zhao
Zhen Liu
Sitao Luan
Shuyuan Zhang
Doina Precup
Yoshua Bengio
453
40
0
03 Jun 2021
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics
International Conference on Learning Representations (ICLR), 2021
Boris N. Oreshkin
Florent Bocquelet
Félix G. Harvey
Bay Raitt
Dominic Laflamme
3DH
340
18
0
03 Jun 2021
You Never Cluster Alone
Neural Information Processing Systems (NeurIPS), 2021
Yuming Shen
Ziyi Shen
Menghan Wang
Jie Qin
Juil Sock
Ling Shao
SSL
259
57
0
03 Jun 2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Swarnadeep Saha
Prateek Yadav
Joey Tianyi Zhou
ReLM
LRM
229
27
0
02 Jun 2021
Multiresolution Equivariant Graph Variational Autoencoder
Truong-Son Hy
Risi Kondor
245
21
0
02 Jun 2021
VA-GCN: A Vector Attention Graph Convolution Network for learning on Point Clouds
Haotian Hu
Fanyi Wang
Huixiao Le
3DPC
132
4
0
01 Jun 2021
About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations
Dmitrii Shubin
Danny Eytan
Sebastian D. Goodfellow
228
3
0
28 May 2021
The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider
SciPost Physics (SciPost Phys.), 2021
T. Aarrestad
M. Beekveld
M. Bona
A. Boveia
S. Caron
...
M. White
E. Wulff
E. Wallin
K. Wozniak
Z. Zhang
382
98
0
28 May 2021
On the Universality of Graph Neural Networks on Large Random Graphs
Neural Information Processing Systems (NeurIPS), 2021
Nicolas Keriven
A. Bietti
Samuel Vaiter
246
26
0
27 May 2021
Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving
Jingliang Duan
Dongjie Yu
Shengbo Eben Li
Wenxuan Wang
Yangang Ren
Ziyu Lin
B. Cheng
272
10
0
24 May 2021
Hypergraph Pre-training with Graph Neural Networks
Boxin Du
Changhe Yuan
Robert A. Barton
T. Neiman
Hanghang Tong
AI4CE
151
15
0
23 May 2021
Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network
Magnetic Resonance in Medicine (MRM), 2021
Fasil Gadjimuradov
Thomas Benkert
M. Nickel
Andreas Maier
OOD
164
13
0
19 May 2021
Mill.jl and JsonGrinder.jl: automated differentiable feature extraction for learning from raw JSON data
Šimon Mandlík
Matej Racinsky
Viliam Lisý
Tomás Pevný
95
2
0
19 May 2021
Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach
Yan Li
Lingxiao Wang
Jiachen Yang
Ethan Wang
Zhaoran Wang
T. Zhao
H. Zha
171
24
0
18 May 2021
Learning a Universal Template for Few-shot Dataset Generalization
International Conference on Machine Learning (ICML), 2021
Eleni Triantafillou
Hugo Larochelle
R. Zemel
Vincent Dumoulin
216
111
0
14 May 2021
Graph-based Neural Architecture Search with Operation Embeddings
Michail Chatzianastasis
George Dasoulas
Georgios Siolas
Michalis Vazirgiannis
AI4CE
270
11
0
11 May 2021
MetaKernel: Learning Variational Random Features with Limited Labels
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yingjun Du
Haoliang Sun
Xiantong Zhen
Jun Xu
Yilong Yin
Ling Shao
Cees G. M. Snoek
VLM
BDL
139
8
0
08 May 2021
Point Cloud Audio Processing
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2021
Krishna Subramani
Paris Smaragdis
3DPC
120
5
0
06 May 2021
One Model to Rule them All: Towards Zero-Shot Learning for Databases
Conference on Innovative Data Systems Research (CIDR), 2021
Benjamin Hilprecht
Carsten Binnig
VLM
265
35
0
03 May 2021
Deep Convolution for Irregularly Sampled Temporal Point Clouds
Erich Merrill
Stefan Lee
Li Fuxin
Thomas G. Dietterich
Alan Fern
3DPC
180
1
0
01 May 2021
Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2021
Ramzi Ourari
Kai Cui
Ahmed Elshamanhory
Heinz Koeppl
209
11
0
30 Apr 2021
One-Round Active Learning
Tianhao Wang
Si-An Chen
R. Jia
871
7
0
23 Apr 2021
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Saiping Guan
Xiaolong Jin
Jiafeng Guo
Yuanzhuo Wang
Xueqi Cheng
158
37
0
21 Apr 2021
Neural Networks for Learning Counterfactual G-Invariances from Single Environments
International Conference on Learning Representations (ICLR), 2021
S Chandra Mouli
Bruno Ribeiro
OOD
189
13
0
20 Apr 2021
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
Neural Information Processing Systems (NeurIPS), 2021
Martin Engelcke
Oiwi Parker Jones
Ingmar Posner
OCL
403
132
0
20 Apr 2021
Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments
IEEE Robotics and Automation Letters (RA-L), 2021
Benjamin Rivière
Wolfgang Hoenig
Matthew O. Anderson
Soon-Jo Chung
324
13
0
20 Apr 2021
Mapping the Internet: Modelling Entity Interactions in Complex Heterogeneous Networks
Šimon Mandlík
Tomás Pevný
243
6
0
19 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
International Conference on Machine Learning (ICML), 2021
Marc Finzi
Max Welling
A. Wilson
420
217
0
19 Apr 2021
Few-shot Learning for Topic Modeling
Tomoharu Iwata
BDL
312
7
0
19 Apr 2021
Deep Permutation Equivariant Structure from Motion
IEEE International Conference on Computer Vision (ICCV), 2021
Dror Moran
Hodaya Koslowsky
Yoni Kasten
Haggai Maron
Meirav Galun
Ronen Basri
3DPC
276
21
0
14 Apr 2021
Contextual HyperNetworks for Novel Feature Adaptation
A. Lamb
Evgeny S. Saveliev
Yingzhen Li
Sebastian Tschiatschek
Camilla Longden
Simon Woodhead
José Miguel Hernández-Lobato
Richard Turner
Pashmina Cameron
Cheng Zhang
OOD
157
6
0
12 Apr 2021
Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph
International Journal for Multiscale Computational Engineering (IJMCE), 2021
Chen Cai
Nikolaos N. Vlassis
Lucas Magee
R. Ma
Zeyu Xiong
B. Bahmani
T. Wong
Yusu Wang
WaiChing Sun
182
18
0
12 Apr 2021
PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs
AAAI Conference on Artificial Intelligence (AAAI), 2021
Zhengyang Shen
Tiancheng Shen
Zhouchen Lin
Jinwen Ma
173
23
0
08 Apr 2021
FatNet: A Feature-attentive Network for 3D Point Cloud Processing
International Conference on Pattern Recognition (ICPR), 2021
Chaitanya Kaul
Nick E. Pears
S. Manandhar
3DPC
187
33
0
07 Apr 2021
Potential Convolution: Embedding Point Clouds into Potential Fields
Dengsheng Chen
Haowen Deng
Jun Li
Duo Li
Yao Duan
Kai Xu
3DPC
114
0
0
05 Apr 2021
Visual analytics of set data for knowledge discovery and member selection support
Decision Support Systems (DSS), 2021
Ryuji Watanabe
Hideaki Ishibashi
T. Furukawa
117
5
0
04 Apr 2021
SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data
Computer Vision and Pattern Recognition (CVPR), 2021
Jinwoo Kim
Jaehoon Yoo
Juho Lee
Seunghoon Hong
BDL
DRL
3DPC
159
103
0
29 Mar 2021
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