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Set Prediction without Imposing Structure as Conditional Density
  Estimation

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
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
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
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
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
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
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
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
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
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
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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