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Independently Recurrent Neural Network (IndRNN): Building A Longer and
  Deeper RNN

Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

13 March 2018
Shuai Li
W. Li
Chris Cook
Ce Zhu
Yanbo Gao
ArXivPDFHTML

Papers citing "Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN"

50 / 56 papers shown
Title
IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction
IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction
Yifan Zhou
Yibo Wang
Chao Shang
AI4TS
42
0
0
09 May 2025
Hadamard product in deep learning: Introduction, Advances and Challenges
Hadamard product in deep learning: Introduction, Advances and Challenges
Grigorios G. Chrysos
Yongtao Wu
Razvan Pascanu
Philip Torr
V. Cevher
AAML
98
0
0
17 Apr 2025
Learning to Decouple Complex Systems
Learning to Decouple Complex Systems
Zihan Zhou
Tianshu Yu
BDL
71
4
0
17 Feb 2025
MoFM: A Large-Scale Human Motion Foundation Model
MoFM: A Large-Scale Human Motion Foundation Model
Mohammadreza Baharani
Ghazal Alinezhad Noghre
Armin Danesh Pazho
Gabriel Maldonado
Hamed Tabkhi
AI4CE
140
0
0
08 Feb 2025
Ditto: Accelerating Diffusion Model via Temporal Value Similarity
Ditto: Accelerating Diffusion Model via Temporal Value Similarity
Sungbin Kim
Hyunwuk Lee
Wonho Cho
Mincheol Park
Won Woo Ro
58
1
0
20 Jan 2025
TDSM: Triplet Diffusion for Skeleton-Text Matching in Zero-Shot Action Recognition
Jeonghyeok Do
Munchurl Kim
49
1
0
16 Nov 2024
Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visits
Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visits
Wangying Yang
Zitao Zheng
Shi Bo
Zhizhong Wu
Bo Zhang
32
11
0
08 Aug 2024
A Medical Low-Back Pain Physical Rehabilitation Dataset for Human Body Movement Analysis
A Medical Low-Back Pain Physical Rehabilitation Dataset for Human Body Movement Analysis
S. Nguyen
Maxime Devanne
O. Rémy-Néris
Mathieu Lempereur
André Thepaut
56
4
0
29 Jun 2024
Geometric sparsification in recurrent neural networks
Geometric sparsification in recurrent neural networks
Wyatt Mackey
Ioannis Schizas
Jared Deighton
David L. Boothe, Jr.
Vasileios Maroulas
28
0
0
10 Jun 2024
Identity-free Artificial Emotional Intelligence via Micro-Gesture Understanding
Identity-free Artificial Emotional Intelligence via Micro-Gesture Understanding
Rong Gao
Xin Liu
Bohao Xing
Zitong Yu
Björn W. Schuller
H. Kalviainen
54
3
0
21 May 2024
A Universal Knowledge Embedded Contrastive Learning Framework for
  Hyperspectral Image Classification
A Universal Knowledge Embedded Contrastive Learning Framework for Hyperspectral Image Classification
Quanwei Liu
Yanni Dong
Tao Huang
Lefei Zhang
Bo Du
VLM
32
1
0
02 Apr 2024
Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering Tasks
Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering Tasks
Zihao Wang
Zhen Wu
20
3
0
15 Jan 2024
TM-vector: A Novel Forecasting Approach for Market stock movement with a
  Rich Representation of Twitter and Market data
TM-vector: A Novel Forecasting Approach for Market stock movement with a Rich Representation of Twitter and Market data
Faraz Sasani
Ramin Mousa
Ali Karkehabadi
Samin Dehbashi
Ali Mohammadi
AIFin
20
5
0
13 Mar 2023
Learning Discriminative Representations for Skeleton Based Action
  Recognition
Learning Discriminative Representations for Skeleton Based Action Recognition
Huanyu Zhou
Qingjie Liu
Yunhong Wang
26
70
0
07 Mar 2023
Reusable Slotwise Mechanisms
Reusable Slotwise Mechanisms
Trang Nguyen
Amin Mansouri
Kanika Madan
Khuong N. Nguyen
Kartik Ahuja
Dianbo Liu
Yoshua Bengio
OCL
28
4
0
21 Feb 2023
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for
  Semi-Supervised Skeleton-based Action Recognition
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semi-Supervised Skeleton-based Action Recognition
Binqian Xu
Xiangbo Shu
13
55
0
05 Feb 2023
Prediction of COVID-19 by Its Variants using Multivariate Data-driven
  Deep Learning Models
Prediction of COVID-19 by Its Variants using Multivariate Data-driven Deep Learning Models
A. Baihaqi
N. Yudistira
Edy Santoso
13
0
0
25 Jan 2023
A Survey on Human Action Recognition
A Survey on Human Action Recognition
Zhou Shuchang
29
0
0
20 Dec 2022
An Improved Time Feedforward Connections Recurrent Neural Networks
An Improved Time Feedforward Connections Recurrent Neural Networks
Jin Wang
Yongsong Zou
Se-Jung Lim
AI4TS
22
3
0
03 Nov 2022
Focal and Global Spatial-Temporal Transformer for Skeleton-based Action
  Recognition
Focal and Global Spatial-Temporal Transformer for Skeleton-based Action Recognition
Zhimin Gao
Peitao Wang
Pei Lv
Xiaoheng Jiang
Qi-dong Liu
Pichao Wang
Mingliang Xu
Wanqing Li
ViT
49
27
0
06 Oct 2022
Liquid Structural State-Space Models
Liquid Structural State-Space Models
Ramin Hasani
Mathias Lechner
Tsun-Hsuan Wang
Makram Chahine
Alexander Amini
Daniela Rus
AI4TS
101
95
0
26 Sep 2022
Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion
  Network for Action Recognition
Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition
Xiaoguang Zhu
Ye Zhu
Haoyu Wang
Honglin Wen
Yan Yan
Peilin Liu
19
25
0
23 Feb 2022
Classification of Long Sequential Data using Circular Dilated
  Convolutional Neural Networks
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks
Lei Cheng
Ruslan Khalitov
Tong Yu
Zhirong Yang
25
32
0
06 Jan 2022
Assessment of Data Consistency through Cascades of Independently
  Recurrent Inference Machines for fast and robust accelerated MRI
  reconstruction
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction
D. Karkalousos
S. Noteboom
H. Hulst
F. Vos
M. Caan
OOD
AI4CE
17
10
0
30 Nov 2021
Efficiently Modeling Long Sequences with Structured State Spaces
Efficiently Modeling Long Sequences with Structured State Spaces
Albert Gu
Karan Goel
Christopher Ré
43
1,654
0
31 Oct 2021
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel
  Sizes
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes
David W. Romero
Robert-Jan Bruintjes
Jakub M. Tomczak
Erik J. Bekkers
Mark Hoogendoorn
J. C. V. Gemert
80
82
0
15 Oct 2021
Bank transactions embeddings help to uncover current macroeconomics
Bank transactions embeddings help to uncover current macroeconomics
Maria Begicheva
Alexey Zaytsev
16
4
0
14 Oct 2021
Channel-wise Topology Refinement Graph Convolution for Skeleton-Based
  Action Recognition
Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
Yuxin Chen
Ziqi Zhang
Chunfen Yuan
Bing Li
Ying Deng
Weiming Hu
45
563
0
26 Jul 2021
Is attention to bounding boxes all you need for pedestrian action
  prediction?
Is attention to bounding boxes all you need for pedestrian action prediction?
Lina Achaji
Julien Moreau
Thibault Fouqueray
François Aioun
François Charpillet
18
30
0
16 Jul 2021
A Light-weight Deep Human Activity Recognition Algorithm Using
  Multi-knowledge Distillation
A Light-weight Deep Human Activity Recognition Algorithm Using Multi-knowledge Distillation
Runze Chen
Haiyong Luo
Fang Zhao
Xuechun Meng
Zhiqing Xie
Yida Zhu
VLM
HAI
21
2
0
06 Jul 2021
HAN: An Efficient Hierarchical Self-Attention Network for Skeleton-Based
  Gesture Recognition
HAN: An Efficient Hierarchical Self-Attention Network for Skeleton-Based Gesture Recognition
Jianbo Liu
Ying Wang
Shiming Xiang
Chunhong Pan
35
12
0
25 Jun 2021
Heterogeneous Multi-task Learning with Expert Diversity
Heterogeneous Multi-task Learning with Expert Diversity
Raquel Y. S. Aoki
Frederick Tung
Gabriel L. Oliveira
MoE
31
22
0
20 Jun 2021
AdaSGN: Adapting Joint Number and Model Size for Efficient
  Skeleton-Based Action Recognition
AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition
Lei Shi
Yifan Zhang
Jian Cheng
Hanqing Lu
22
46
0
22 Mar 2021
Skeleton Aware Multi-modal Sign Language Recognition
Skeleton Aware Multi-modal Sign Language Recognition
Songyao Jiang
Bin Sun
Lichen Wang
Yue Bai
Kunpeng Li
Y. Fu
SLR
25
165
0
16 Mar 2021
Deep Learning for Android Malware Defenses: a Systematic Literature
  Review
Deep Learning for Android Malware Defenses: a Systematic Literature Review
Yue Liu
C. Tantithamthavorn
Li Li
Yepang Liu
AAML
30
77
0
09 Mar 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
32
2
0
04 Jan 2021
Spatio-Temporal Inception Graph Convolutional Networks for
  Skeleton-Based Action Recognition
Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition
Zhen Huang
Xu Shen
Xinmei Tian
Houqiang Li
Jianqiang Huang
Xiansheng Hua
GNN
29
56
0
26 Nov 2020
JOLO-GCN: Mining Joint-Centered Light-Weight Information for
  Skeleton-Based Action Recognition
JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition
Jinmiao Cai
Nianjuan Jiang
Xiaoguang Han
K. Jia
Jiangbo Lu
22
84
0
16 Nov 2020
Specialization in Hierarchical Learning Systems
Specialization in Hierarchical Learning Systems
Heinke Hihn
Daniel A. Braun
22
16
0
03 Nov 2020
A Framework of Combining Short-Term Spatial/Frequency Feature Extraction
  and Long-Term IndRNN for Activity Recognition
A Framework of Combining Short-Term Spatial/Frequency Feature Extraction and Long-Term IndRNN for Activity Recognition
Beidi Zhao
Shuai Li
Yanbo Gao
Chuankun Li
Wanqing Li
9
13
0
01 Nov 2020
SAR-NAS: Skeleton-based Action Recognition via Neural Architecture
  Searching
SAR-NAS: Skeleton-based Action Recognition via Neural Architecture Searching
Haoyuan Zhang
Yonghong Hou
Pichao Wang
Zihui Guo
Wanqing Li
26
15
0
29 Oct 2020
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and
  (gradient) stable architecture for learning long time dependencies
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
T. Konstantin Rusch
Siddhartha Mishra
19
88
0
02 Oct 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
29
79
0
17 Sep 2020
S2RMs: Spatially Structured Recurrent Modules
S2RMs: Spatially Structured Recurrent Modules
Nasim Rahaman
Anirudh Goyal
Muhammad Waleed Gondal
M. Wuthrich
Stefan Bauer
Yash Sharma
Yoshua Bengio
Bernhard Schölkopf
21
14
0
13 Jul 2020
Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action
  Recognition
Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action Recognition
Lei Shi
Yifan Zhang
Jian Cheng
Hanqing Lu
14
49
0
07 Jul 2020
Towards Understanding the Adversarial Vulnerability of Skeleton-based
  Action Recognition
Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition
Tianhang Zheng
Sheng Liu
Changyou Chen
Junsong Yuan
Baochun Li
K. Ren
AAML
19
17
0
14 May 2020
Feedback Graph Convolutional Network for Skeleton-based Action
  Recognition
Feedback Graph Convolutional Network for Skeleton-based Action Recognition
Hao-Yu Yang
D. Yan
Ling Zhang
Dong Li
Yunda Sun
Shaodi You
Stephen J. Maybank
46
104
0
17 Mar 2020
Temporal Convolutional Attention-based Network For Sequence Modeling
Temporal Convolutional Attention-based Network For Sequence Modeling
Hongyan Hao
Yan Wang
Siqiao Xue
Yudi Xia
Jian Zhao
S. Furao
14
41
0
28 Feb 2020
A Survey on 3D Skeleton-Based Action Recognition Using Learning Method
A Survey on 3D Skeleton-Based Action Recognition Using Learning Method
Bin Ren
Mengyuan Liu
Runwei Ding
Hong Liu
27
121
0
14 Feb 2020
Towards Automated Sexual Violence Report Tracking
Towards Automated Sexual Violence Report Tracking
Naeemul Hassan
A. Poudel
Jason G. Hale
Claire Hubacek
Khandakar Tasnim Huq
Shubhra (Santu) Karmaker
Syed Ishtiaque Ahmed
15
26
0
16 Nov 2019
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