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Multiset-Equivariant Set Prediction with Approximate Implicit
  Differentiation

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
TorchDEQ: A Library for Deep Equilibrium Models
Zhengyang Geng
J. Zico Kolter
VLM
56
12
0
28 Oct 2023
Equivariant Networks for Crystal Structures
Equivariant Networks for Crystal Structures
Sekouba Kaba
Siamak Ravanbakhsh
AI4CE
48
23
0
15 Nov 2022
Equivariance with Learned Canonicalization Functions
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
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
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
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
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
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
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
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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