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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
An Improved Deep Belief Network Model for Road Safety Analyses
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A Tutorial on Deep Latent Variable Models of Natural Language
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Dynamic Graph Modules for Modeling Object-Object Interactions in Activity Recognition
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SlowFast Networks for Video Recognition
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Prototype-based Neural Network Layers: Incorporating Vector Quantization
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Accelerate CNN via Recursive Bayesian Pruning
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A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis
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Deep RNN Framework for Visual Sequential Applications
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Variational Bayesian Dropout with a Hierarchical Prior
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Wenyong Dong
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Skeleton-based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer Module
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Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control
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Bayesian Deep Learning for Exoplanet Atmospheric Retrieval
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Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization
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Single-Model Uncertainties for Deep Learning
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Improving the Robustness of Speech Translation
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01 Nov 2018
Effective Feature Representation for Clinical Text Concept Extraction
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SplineNets: Continuous Neural Decision Graphs
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Marginal Replay vs Conditional Replay for Continual Learning
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Learning Negotiating Behavior Between Cars in Intersections using Deep Q-Learning
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24 Oct 2018
Compositional Coding Capsule Network with K-Means Routing for Text Classification
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CNNPred: CNN-based stock market prediction using several data sources
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Automated identification of hookahs (waterpipes) on Instagram: an application in feature extraction using Convolutional Neural Network and Support Vector Machine classification
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Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis
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Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes
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Dropout as a Structured Shrinkage Prior
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Convolutional Neural Networks In Convolution
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End-to-End Text Classification via Image-based Embedding using Character-level Networks
Shunsuke Kitada
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45
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08 Oct 2018
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets
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Wendong Mao
Minglun Gong
36
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Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout
Kun Wan
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Lingwei Xie
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28 Sep 2018
Incorporating Luminance, Depth and Color Information by a Fusion-based Network for Semantic Segmentation
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Shao-Yuan Lo
Hsueh-Ming Hang
31
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A Byte-sized Approach to Named Entity Recognition
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Premkumar Natarajan
27
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22 Sep 2018
Galaxy morphology prediction using capsule networks
R. Katebi
Yadi Zhou
R. Chornock
Razvan Bunescu
MedIm
3DPC
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22 Sep 2018
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