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Recurrent Neural Network Regularization

Recurrent Neural Network Regularization

8 September 2014
Wojciech Zaremba
Ilya Sutskever
Oriol Vinyals
    ODL
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Papers citing "Recurrent Neural Network Regularization"

50 / 274 papers shown
Title
Preserving Seasonal and Trend Information: A Variational Autoencoder-Latent Space Arithmetic Based Approach for Non-stationary Learning
Preserving Seasonal and Trend Information: A Variational Autoencoder-Latent Space Arithmetic Based Approach for Non-stationary Learning
Hassan Wasswa
Aziida Nanyonga
Timothy Lynar
21
1
0
26 Apr 2025
Symmetric Rank-One Quasi-Newton Methods for Deep Learning Using Cubic Regularization
Symmetric Rank-One Quasi-Newton Methods for Deep Learning Using Cubic Regularization
Aditya Ranganath
Mukesh Singhal
Roummel Marcia
ODL
70
0
0
17 Feb 2025
Phase of Flight Classification in Aviation Safety using LSTM, GRU, and BiLSTM: A Case Study with ASN Dataset
Phase of Flight Classification in Aviation Safety using LSTM, GRU, and BiLSTM: A Case Study with ASN Dataset
Aziida Nanyonga
Hassan Wasswa
Graham Wild
51
4
0
14 Jan 2025
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification
C. Jin
Luyang Luo
Huangjing Lin
Jun Hou
Hao Chen
52
4
0
12 Nov 2024
Fusion Matrix Prompt Enhanced Self-Attention Spatial-Temporal
  Interactive Traffic Forecasting Framework
Fusion Matrix Prompt Enhanced Self-Attention Spatial-Temporal Interactive Traffic Forecasting Framework
Mu Liu
MingChen Sun YingJi Li
Ying Wang
AI4TS
39
0
0
12 Oct 2024
Navigating the Landscape of Large Language Models: A Comprehensive
  Review and Analysis of Paradigms and Fine-Tuning Strategies
Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and Fine-Tuning Strategies
Benjue Weng
LM&MA
46
8
0
13 Apr 2024
Better Schedules for Low Precision Training of Deep Neural Networks
Better Schedules for Low Precision Training of Deep Neural Networks
Cameron R. Wolfe
Anastasios Kyrillidis
47
1
0
04 Mar 2024
Exploring the Creation and Humanization of Digital Life: Consciousness
  Simulation and Human-Machine Interaction
Exploring the Creation and Humanization of Digital Life: Consciousness Simulation and Human-Machine Interaction
Qikang Zhang
AI4CE
13
1
0
10 Oct 2023
Sparse Deep Learning for Time Series Data: Theory and Applications
Sparse Deep Learning for Time Series Data: Theory and Applications
Mingxuan Zhang
Y. Sun
Faming Liang
AI4TS
OOD
BDL
39
2
0
05 Oct 2023
Leveraging arbitrary mobile sensor trajectories with shallow recurrent
  decoder networks for full-state reconstruction
Leveraging arbitrary mobile sensor trajectories with shallow recurrent decoder networks for full-state reconstruction
Megan R. Ebers
Jan P. Williams
K. Steele
J. Nathan Kutz
HAI
21
9
0
20 Jul 2023
Obstacle-Transformer: A Trajectory Prediction Network Based on
  Surrounding Trajectories
Obstacle-Transformer: A Trajectory Prediction Network Based on Surrounding Trajectories
Wendong Zhang
Qingjie Chai
Quanqi Zhang
Chengwei Wu
17
5
0
16 Apr 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive
  Masking and Trainable Corruption
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable Corruption
Chengyu Sun
SSL
32
1
0
28 Jan 2023
Skeleton-based Action Recognition through Contrasting Two-Stream
  Spatial-Temporal Networks
Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal Networks
Chen Pang
Xuequan Lu
Lei Lyu
36
20
0
27 Jan 2023
Optimal Privacy Preserving for Federated Learning in Mobile Edge
  Computing
Optimal Privacy Preserving for Federated Learning in Mobile Edge Computing
Hai M. Nguyen
N. Chu
Diep N. Nguyen
D. Hoang
Van-Dinh Nguyen
Minh Hoàng Hà
E. Dutkiewicz
Marwan Krunz
FedML
27
1
0
14 Nov 2022
Graph Fuzzy System: Concepts, Models and Algorithms
Graph Fuzzy System: Concepts, Models and Algorithms
F. Hu
Zhaohong Deng
Zhenping Xie
K. Choi
Shitong Wang
29
1
0
30 Oct 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the
  Impact of Method & Data Scarcity
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
Dennis Ulmer
J. Frellsen
Christian Hardmeier
195
22
0
20 Oct 2022
Single Image Super-Resolution Using Lightweight Networks Based on Swin
  Transformer
Single Image Super-Resolution Using Lightweight Networks Based on Swin Transformer
Bolong Zhang
Juan Chen
Q. Wen
ViT
41
1
0
20 Oct 2022
Myopia prediction for adolescents via time-aware deep learning
Myopia prediction for adolescents via time-aware deep learning
Junjia Huang
Weizhong Ma
Rongri Li
Na Zhao
Tao Zhou
26
0
0
26 Sep 2022
An Overview of Violence Detection Techniques: Current Challenges and
  Future Directions
An Overview of Violence Detection Techniques: Current Challenges and Future Directions
N. Mumtaz
N. Ejaz
Shabana Habib
Syed Muhammad Mohsin
Prayag Tiwari
Shahab S. Band
Neeraj Kumar
42
28
0
21 Sep 2022
Graph Reasoning Transformer for Image Parsing
Graph Reasoning Transformer for Image Parsing
Dong Zhang
Jinhui Tang
Kwang-Ting Cheng
ViT
24
16
0
20 Sep 2022
Evaluating Temporal Patterns in Applied Infant Affect Recognition
Evaluating Temporal Patterns in Applied Infant Affect Recognition
Allen Chang
Lauren Klein
Marcelo R. Rosales
Weiyang Deng
Beth A. Smith
Maja J. Matarić
24
0
0
07 Sep 2022
Empirical Study of Overfitting in Deep FNN Prediction Models for Breast
  Cancer Metastasis
Empirical Study of Overfitting in Deep FNN Prediction Models for Breast Cancer Metastasis
Chuhan Xu
Pablo Coen-Pirani
Xia Jiang
AI4CE
21
1
0
03 Aug 2022
Multi-features based Semantic Augmentation Networks for Named Entity
  Recognition in Threat Intelligence
Multi-features based Semantic Augmentation Networks for Named Entity Recognition in Threat Intelligence
Peipei Liu
Hong Li
Zuoguang Wang
Jie Liu
Yimo Ren
Hongsong Zhu
29
7
0
01 Jul 2022
1Cademy at Semeval-2022 Task 1: Investigating the Effectiveness of
  Multilingual, Multitask, and Language-Agnostic Tricks for the Reverse
  Dictionary Task
1Cademy at Semeval-2022 Task 1: Investigating the Effectiveness of Multilingual, Multitask, and Language-Agnostic Tricks for the Reverse Dictionary Task
Zhiyong Wang
Ge Zhang
Nineli Lashkarashvili
24
3
0
08 Jun 2022
Batch Normalization Is Blind to the First and Second Derivatives of the
  Loss
Batch Normalization Is Blind to the First and Second Derivatives of the Loss
Zhanpeng Zhou
Wen Shen
Huixin Chen
Ling Tang
Quanshi Zhang
34
2
0
30 May 2022
Attention Mechanism based Cognition-level Scene Understanding
Attention Mechanism based Cognition-level Scene Understanding
Xuejiao Tang
Tai Le Quy
LRM
30
0
0
17 Apr 2022
Research on Cross-media Science and Technology Information Data Retrieval
Yang Jiang
Zhe Xue
Ang Li
19
1
0
11 Apr 2022
Deep transfer learning for system identification using long short-term
  memory neural networks
Deep transfer learning for system identification using long short-term memory neural networks
K. Niu
Mi Zhou
C. Abdallah
M. Hayajneh
11
5
0
06 Apr 2022
A Survey on Dropout Methods and Experimental Verification in
  Recommendation
A Survey on Dropout Methods and Experimental Verification in Recommendation
Yong Li
Weizhi Ma
C. L. Philip Chen
Hao Fei
Yiqun Liu
Shaoping Ma
Yue Yang
33
9
0
05 Apr 2022
Evolving Neural Selection with Adaptive Regularization
Evolving Neural Selection with Adaptive Regularization
Li Ding
Lee Spector
ODL
25
4
0
04 Apr 2022
Visualizing the Relationship Between Encoded Linguistic Information and
  Task Performance
Visualizing the Relationship Between Encoded Linguistic Information and Task Performance
Jiannan Xiang
Huayang Li
Defu Lian
Guoping Huang
Taro Watanabe
Lemao Liu
42
0
0
29 Mar 2022
Deep Q-network using reservoir computing with multi-layered readout
Deep Q-network using reservoir computing with multi-layered readout
Toshitaka Matsuki
OffRL
26
2
0
03 Mar 2022
Multi-View Fusion Transformer for Sensor-Based Human Activity
  Recognition
Multi-View Fusion Transformer for Sensor-Based Human Activity Recognition
Yimu Wang
Kun Yu
Yan Wang
Huiwen Xue
HAI
13
2
0
16 Feb 2022
Deep Learning for Computational Cytology: A Survey
Deep Learning for Computational Cytology: A Survey
Hao Jiang
Yanning Zhou
Yi-Mou Lin
R. Chan
Jiangshu Liu
Hao Chen
21
75
0
10 Feb 2022
The Ecological Footprint of Neural Machine Translation Systems
The Ecological Footprint of Neural Machine Translation Systems
D. Shterionov
Eva Vanmassenhove
40
3
0
04 Feb 2022
Fighting Money Laundering with Statistics and Machine Learning
Fighting Money Laundering with Statistics and Machine Learning
R. Jensen
Alexandros Iosifidis
36
13
0
11 Jan 2022
Self-Supervised Dynamic Graph Representation Learning via Temporal
  Subgraph Contrast
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast
Linpu Jiang
Ke-Jia Chen
Jingqiang Chen
SSL
29
10
0
16 Dec 2021
Learning Connectivity with Graph Convolutional Networks for
  Skeleton-based Action Recognition
Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition
H. Sahbi
GNN
38
27
0
06 Dec 2021
A Comparative Review of Recent Few-Shot Object Detection Algorithms
A Comparative Review of Recent Few-Shot Object Detection Algorithms
Jiaxu Leng
Taiyue Chen
Gao Xinbo
Yongtao Yu
Ye Wang
Feng Gao
Wang Yue
ObjD
19
15
0
30 Oct 2021
Urban Driver: Learning to Drive from Real-world Demonstrations Using
  Policy Gradients
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients
Oliver Scheel
Luca Bergamini
Maciej Wołczyk
Bla.zej Osiñski
Peter Ondruska
37
104
0
27 Sep 2021
Dropout's Dream Land: Generalization from Learned Simulators to Reality
Dropout's Dream Land: Generalization from Learned Simulators to Reality
Zac Wellmer
James T. Kwok
SyDa
24
9
0
17 Sep 2021
Recent advances for quantum classifiers
Recent advances for quantum classifiers
Weikang Li
D. Deng
AAML
39
84
0
30 Aug 2021
Trustworthy AI: A Computational Perspective
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Jiliang Tang
FaML
104
196
0
12 Jul 2021
Representation and Correlation Enhanced Encoder-Decoder Framework for
  Scene Text Recognition
Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition
Meng Cui
Wei Wang
Jinjin Zhang
Liang Wang
3DV
21
12
0
13 Jun 2021
CAT: Cross Attention in Vision Transformer
CAT: Cross Attention in Vision Transformer
Hezheng Lin
Xingyi Cheng
Xiangyu Wu
Fan Yang
Dong Shen
Zhongyuan Wang
Qing Song
Wei Yuan
ViT
35
149
0
10 Jun 2021
Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and
  Successes in the XAI Program
Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and Successes in the XAI Program
Jeff Druce
J. Niehaus
Vanessa Moody
David D. Jensen
Michael L. Littman
15
15
0
10 Jun 2021
Investigating Alternatives to the Root Mean Square for Adaptive Gradient
  Methods
Investigating Alternatives to the Root Mean Square for Adaptive Gradient Methods
Brett Daley
Chris Amato
ODL
24
0
0
10 Jun 2021
Spectral Pruning for Recurrent Neural Networks
Spectral Pruning for Recurrent Neural Networks
Takashi Furuya
Kazuma Suetake
K. Taniguchi
Hiroyuki Kusumoto
Ryuji Saiin
Tomohiro Daimon
27
4
0
23 May 2021
Skeleton-based Hand-Gesture Recognition with Lightweight Graph
  Convolutional Networks
Skeleton-based Hand-Gesture Recognition with Lightweight Graph Convolutional Networks
H. Sahbi
3DH
GNN
18
3
0
09 Apr 2021
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to
  Improve Generalization
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
Zeke Xie
Li-xin Yuan
Zhanxing Zhu
Masashi Sugiyama
27
29
0
31 Mar 2021
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