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. 2207.12013
  4. Cited By
Effective and Interpretable Information Aggregation with Capacity
  Networks

Effective and Interpretable Information Aggregation with Capacity Networks

25 July 2022
Markus Zopf
ArXivPDFHTML

Papers citing "Effective and Interpretable Information Aggregation with Capacity Networks"

13 / 13 papers shown
Title
Descending through a Crowded Valley - Benchmarking Deep Learning
  Optimizers
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers
Robin M. Schmidt
Frank Schneider
Philipp Hennig
ODL
71
165
0
03 Jul 2020
Learning Permutation Invariant Representations using Memory Networks
Learning Permutation Invariant Representations using Memory Networks
Shivam Kalra
Mohammed Adnan
Graham W. Taylor
Hamid Tizhoosh
42
24
0
18 Nov 2019
On Universal Equivariant Set Networks
On Universal Equivariant Set Networks
Nimrod Segol
Y. Lipman
3DPC
99
64
0
06 Oct 2019
Janossy Pooling: Learning Deep Permutation-Invariant Functions for
  Variable-Size Inputs
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
R. Murphy
Balasubramaniam Srinivasan
Vinayak A. Rao
Yun Liang
101
190
0
05 Nov 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
101
274
0
01 Oct 2018
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D
  Reconstruction
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction
Bo Yang
Sen Wang
Andrew Markham
Niki Trigoni
3DPC
3DV
70
140
0
02 Aug 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
254
8,856
0
25 Aug 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
454
14,264
0
02 Dec 2016
Learning Convolutional Neural Networks for Graphs
Learning Convolutional Neural Networks for Graphs
Mathias Niepert
Mohamed Ahmed
Konstantin Kutzkov
GNN
SSL
122
2,151
0
17 May 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
362
7,955
0
17 Aug 2015
Memory Networks
Memory Networks
Jason Weston
S. Chopra
Antoine Bordes
GNN
KELM
145
1,705
0
15 Oct 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
513
27,263
0
01 Sep 2014
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
917
23,310
0
03 Jun 2014
1