ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1906.09400
  4. Cited By
Learning Set-equivariant Functions with SWARM Mappings

Learning Set-equivariant Functions with SWARM Mappings

22 June 2019
Roland Vollgraf
ArXivPDFHTML

Papers citing "Learning Set-equivariant Functions with SWARM Mappings"

15 / 15 papers shown
Title
Generating Long Sequences with Sparse Transformers
Generating Long Sequences with Sparse Transformers
R. Child
Scott Gray
Alec Radford
Ilya Sutskever
58
1,880
0
23 Apr 2019
Universal approximations of permutation invariant/equivariant functions
  by deep neural networks
Universal approximations of permutation invariant/equivariant functions by deep neural networks
Akiyoshi Sannai
Yuuki Takai
Matthieu Cordonnier
38
68
0
05 Mar 2019
On the Limitations of Representing Functions on Sets
On the Limitations of Representing Functions on Sets
E. Wagstaff
F. Fuchs
Martin Engelcke
Ingmar Posner
Michael A. Osborne
56
163
0
25 Jan 2019
Do Deep Generative Models Know What They Don't Know?
Do Deep Generative Models Know What They Don't Know?
Eric T. Nalisnick
Akihiro Matsukawa
Yee Whye Teh
Dilan Görür
Balaji Lakshminarayanan
OOD
39
753
0
22 Oct 2018
Set Transformer: A Framework for Attention-based Permutation-Invariant
  Neural Networks
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
Juho Lee
Yoonho Lee
Jungtaek Kim
Adam R. Kosiorek
Seungjin Choi
Yee Whye Teh
47
274
0
01 Oct 2018
Universal approximations of invariant maps by neural networks
Universal approximations of invariant maps by neural networks
Dmitry Yarotsky
49
210
0
26 Apr 2018
Image Transformer
Image Transformer
Niki Parmar
Ashish Vaswani
Jakob Uszkoreit
Lukasz Kaiser
Noam M. Shazeer
Alexander Ku
Dustin Tran
ViT
74
1,671
0
15 Feb 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
90
8,807
0
25 Aug 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
309
129,831
0
12 Jun 2017
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
173
2,441
0
10 Mar 2017
Conditional Image Generation with PixelCNN Decoders
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
103
2,490
0
16 Jun 2016
Learning Multiagent Communication with Backpropagation
Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar
Arthur Szlam
Rob Fergus
127
1,139
0
25 May 2016
Order Matters: Sequence to sequence for sets
Order Matters: Sequence to sequence for sets
Oriol Vinyals
Samy Bengio
M. Kudlur
BDL
97
950
0
19 Nov 2015
Highway Networks
Highway Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
94
1,765
0
03 May 2015
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
512
23,235
0
03 Jun 2014
1