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1207.0580
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Improving neural networks by preventing co-adaptation of feature detectors
3 July 2012
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
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Papers citing
"Improving neural networks by preventing co-adaptation of feature detectors"
50 / 1,729 papers shown
Title
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A superpixel-driven deep learning approach for the analysis of dermatological wounds
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Dropout Induced Noise for Co-Creative GAN Systems
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Transfer Learning Between Related Tasks Using Expected Label Proportions
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Improved Image Augmentation for Convolutional Neural Networks by Copyout and CopyPairing
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One Model to Learn Both: Zero Pronoun Prediction and Translation
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A deep artificial neural network based model for underlying cause of death prediction from death certificates
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Rethinking Attribute Representation and Injection for Sentiment Classification
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Copy-Enhanced Heterogeneous Information Learning for Dialogue State Tracking
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Temporal Collaborative Ranking Via Personalized Transformer
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James Sharpnack
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Self-Balanced Dropout
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Conditional independence testing: a predictive perspective
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Dual-FOFE-net Neural Models for Entity Linking with PageRank
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Charting the Right Manifold: Manifold Mixup for Few-shot Learning
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Genetic Deep Learning for Lung Cancer Screening
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DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
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Junzhou Huang
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Delving Deep into Liver Focal Lesion Detection: A Preliminary Study
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Yingqian Chen
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Open DNN Box by Power Side-Channel Attack
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Zhuangzhi Chen
Zuohui Chen
Zebin Fang
Haiyang Hao
Jinyin Chen
Yi Liu
Zhefu Wu
Qi Xuan
Xiaoniu Yang
AAML
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A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera
H. Pham
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L. Khoudour
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Pablo Zegers
S. Velastín
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16 Jul 2019
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