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Dynamic Routing Between Capsules

Dynamic Routing Between Capsules

26 October 2017
S. Sabour
Nicholas Frosst
Geoffrey E. Hinton
ArXivPDFHTML

Papers citing "Dynamic Routing Between Capsules"

23 / 23 papers shown
Title
CL-CaGAN: Capsule differential adversarial continuous learning for cross-domain hyperspectral anomaly detection
CL-CaGAN: Capsule differential adversarial continuous learning for cross-domain hyperspectral anomaly detection
Jianing Wang
Siying Guo
Zheng Hua
Runhu Huang
Jinyu Hu
Maoguo Gong
27
9
0
17 May 2025
Evolved Hierarchical Masking for Self-Supervised Learning
Evolved Hierarchical Masking for Self-Supervised Learning
Zhanzhou Feng
Shiliang Zhang
75
0
0
12 Apr 2025
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation
Martin Mundt
Anaelia Ovalle
Felix Friedrich
A Pranav
Subarnaduti Paul
Manuel Brack
Kristian Kersting
William Agnew
483
0
0
05 Feb 2025
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models
Amy Rafferty
Rishi Ramaesh
Ajitha Rajan
MedIm
AAML
76
0
0
04 Feb 2025
Slot-BERT: Self-supervised Object Discovery in Surgical Video
Slot-BERT: Self-supervised Object Discovery in Surgical Video
Guiqiu Liao
M. Jogan
Marcel Hussing
Kenta Nakahashi
Kazuhiro Yasufuku
Amin Madani
Eric Eaton
Daniel A. Hashimoto
329
0
0
21 Jan 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
Ping Guo
Cheng Gong
Xi Lin
Fei Liu
Zhichao Lu
Qingfu Zhang
Zhenkun Wang
AAML
60
0
0
13 Jan 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning
Pareto Set Learning for Multi-Objective Reinforcement Learning
Erlong Liu
Yu-Chang Wu
Xiaobin Huang
Chengrui Gao
Ren-Jian Wang
Ke Xue
Chao Qian
OffRL
116
2
0
12 Jan 2025
Integrating Multi-Modal Input Token Mixer Into Mamba-Based Decision Models: Decision MetaMamba
Integrating Multi-Modal Input Token Mixer Into Mamba-Based Decision Models: Decision MetaMamba
Wall Kim
Mamba
78
0
0
10 Jan 2025
Mask of truth: model sensitivity to unexpected regions of medical images
Mask of truth: model sensitivity to unexpected regions of medical images
Théo Sourget
Michelle Hestbek-Møller
Amelia Jiménez-Sánchez
Jack Junchi Xu
Veronika Cheplygina
AAML
111
0
0
05 Dec 2024
Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion
Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion
Dexuan Ding
Lei Wang
Liyun Zhu
Tom Gedeon
Piotr Koniusz
81
8
0
02 Oct 2024
Memory Mosaics
Memory Mosaics
Jianyu Zhang
Niklas Nolte
Ranajoy Sadhukhan
Beidi Chen
Léon Bottou
VLM
80
3
0
10 May 2024
On the Fourier analysis in the SO(3) space : EquiLoPO Network
On the Fourier analysis in the SO(3) space : EquiLoPO Network
Dmitrii Zhemchuzhnikov
Sergei Grudinin
55
0
0
24 Apr 2024
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning
Chu Myaet Thwal
Minh N. H. Nguyen
Ye Lin Tun
Seongjin Kim
My T. Thai
Choong Seon Hong
69
5
0
22 Jan 2024
Tagger: Deep Unsupervised Perceptual Grouping
Tagger: Deep Unsupervised Perceptual Grouping
Klaus Greff
Antti Rasmus
Mathias Berglund
T. Hao
Jürgen Schmidhuber
Harri Valpola
OCL
41
161
0
21 Jun 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
147
11,135
0
14 Mar 2016
Batch-normalized Maxout Network in Network
Batch-normalized Maxout Network in Network
Jia-Ren Chang
Yonghao Chen
OOD
55
108
0
09 Nov 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
247
7,361
0
05 Jun 2015
APAC: Augmented PAttern Classification with Neural Networks
APAC: Augmented PAttern Classification with Neural Networks
Ikuro Sato
Hiroki Nishimura
Kensuke Yokoi
34
137
0
13 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
519
149,474
0
22 Dec 2014
Multi-digit Number Recognition from Street View Imagery using Deep
  Convolutional Neural Networks
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks
Ian Goodfellow
Yaroslav Bulatov
Julian Ibarz
Sacha Arnoud
Vinay D. Shet
53
718
0
20 Dec 2013
Stochastic Pooling for Regularization of Deep Convolutional Neural
  Networks
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
Matthew D. Zeiler
Rob Fergus
79
990
0
16 Jan 2013
Multi-column Deep Neural Networks for Image Classification
Multi-column Deep Neural Networks for Image Classification
D. Ciresan
U. Meier
Jürgen Schmidhuber
74
3,935
0
13 Feb 2012
High-Performance Neural Networks for Visual Object Classification
High-Performance Neural Networks for Visual Object Classification
D. Ciresan
U. Meier
Jonathan Masci
L. Gambardella
Jürgen Schmidhuber
BDL
3DH
38
316
0
01 Feb 2011
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