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2010.04109
Cited By
Set Prediction without Imposing Structure as Conditional Density Estimation
8 October 2020
David W. Zhang
Gertjan J. Burghouts
Cees G. M. Snoek
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Papers citing
"Set Prediction without Imposing Structure as Conditional Density Estimation"
11 / 11 papers shown
Title
On permutation-invariant neural networks
Masanari Kimura
Ryotaro Shimizu
Yuki Hirakawa
Ryosuke Goto
Yuki Saito
OOD
AAML
38
12
0
26 Mar 2024
Enhancing Neural Subset Selection: Integrating Background Information into Set Representations
Binghui Xie
Yatao Bian
Kaiwen Zhou
Yongqiang Chen
Peilin Zhao
Bo Han
Wei Meng
James Cheng
16
1
0
05 Feb 2024
Robust and Controllable Object-Centric Learning through Energy-based Models
Ruixiang Zhang
Tong Che
B. Ivanovic
Renhao Wang
Marco Pavone
Yoshua Bengio
Liam Paull
OCL
28
8
0
11 Oct 2022
Deep Set Classifier for Financial Forensics: An application to detect money laundering
Jonathan Pan
19
3
0
16 Jul 2022
Conditional set generation using Seq2seq models
Aman Madaan
Dheeraj Rajagopal
Niket Tandon
Yiming Yang
Antoine Bosselut
27
10
0
25 May 2022
Learning Neural Set Functions Under the Optimal Subset Oracle
Zijing Ou
Tingyang Xu
Qinliang Su
Yingzhen Li
P. Zhao
Yatao Bian
BDL
16
9
0
03 Mar 2022
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation
Yan Zhang
David W. Zhang
Simon Lacoste-Julien
Gertjan J. Burghouts
Cees G. M. Snoek
BDL
35
21
0
23 Nov 2021
Top-N: Equivariant set and graph generation without exchangeability
Clément Vignac
P. Frossard
BDL
63
34
0
05 Oct 2021
Pruning Edges and Gradients to Learn Hypergraphs from Larger Sets
David W. Zhang
Gertjan J. Burghouts
Cees G. M. Snoek
32
4
0
26 Jun 2021
Causal Effect Inference for Structured Treatments
Jean Kaddour
Yuchen Zhu
Qi Liu
Matt J. Kusner
Ricardo M. A. Silva
CML
171
50
0
03 Jun 2021
Learn to Predict Sets Using Feed-Forward Neural Networks
H. Rezatofighi
Tianyu Zhu
Roman Kaskman
F. Motlagh
Javen Qinfeng Shi
Anton Milan
Daniel Cremers
Laura Leal-Taixé
Ian Reid
SSL
48
15
0
30 Jan 2020
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