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Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation
23 November 2021
Yan Zhang
David W. Zhang
Simon Lacoste-Julien
Gertjan J. Burghouts
Cees G. M. Snoek
BDL
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Papers citing
"Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation"
10 / 10 papers shown
Title
TorchDEQ: A Library for Deep Equilibrium Models
Zhengyang Geng
J. Zico Kolter
VLM
56
12
0
28 Oct 2023
Equivariant Networks for Crystal Structures
Sekouba Kaba
Siamak Ravanbakhsh
AI4CE
48
23
0
15 Nov 2022
Equivariance with Learned Canonicalization Functions
Sekouba Kaba
Arnab Kumar Mondal
Yan Zhang
Yoshua Bengio
Siamak Ravanbakhsh
44
62
0
11 Nov 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
Michael Chang
Thomas L. Griffiths
Sergey Levine
OCL
59
58
0
02 Jul 2022
Pruning Edges and Gradients to Learn Hypergraphs from Larger Sets
David W. Zhang
Gertjan J. Burghouts
Cees G. M. Snoek
37
4
0
26 Jun 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo
Wei Hu
3DPC
180
723
0
02 Mar 2021
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
Alexandre Carlier
Martin Danelljan
Alexandre Alahi
Radu Timofte
116
138
0
22 Jul 2020
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
61
15
0
30 Jan 2020
End-to-End Neural Speaker Diarization with Permutation-Free Objectives
Yusuke Fujita
Naoyuki Kanda
Shota Horiguchi
Kenji Nagamatsu
Shinji Watanabe
163
244
0
12 Sep 2019
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
326
4,223
0
23 Aug 2019
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