Learning representations by back-propagating errors
David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams
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- Support-vector networks→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Support-Vector Networks→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Greedy function approximation: A gradient boosting machine.→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Distributed Representations of Words and Phrases and their Compositionality→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Sequence to Sequence Learning with Neural Networks→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Understanding the difficulty of training deep feedforward neural networks→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Training feedforward networks with the Marquardt algorithm→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Improving neural networks by preventing co-adaptation of feature detectors→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Multitask Learning→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Deep Learning with Differential Privacy→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Extreme Learning Machine for Regression and Multiclass Classification→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- ADADELTA: An Adaptive Learning Rate Method→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Distributed Representations of Sentences and Documents→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Learning Deep Architectures for AI→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Deep Learning in Medical Image Analysis→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Deep Reinforcement Learning: A Brief Survey→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- The Limitations of Deep Learning in Adversarial Settings→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Local Computations with Probabilities on Graphical Structures and Their Application to Ex…→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- On the difficulty of training Recurrent Neural Networks→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Neural Networks and the Bias/Variance Dilemma→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Sequence to Sequence Learning with Neural Networks→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Character-level Convolutional Networks for Text Classification→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Deep learning for healthcare: review, opportunities and challenges→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Survey on deep learning with class imbalance→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- A Practical Bayesian Framework for Backpropagation Networks→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Methods for interpreting and understanding deep neural networks→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Phoneme recognition using time-delay neural networks→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Catastrophic forgetting in connectionist networks→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Theory of the backpropagation neural network→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Automatic differentiation in machine learning: a survey→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Learning representations by back-propagating errors→Parallel Distributed ProcessingLegacy edge — source detail unavailable
- Understanding the difficulty of training deep feedforward neural networks→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Improving neural networks by preventing co-adaptation of feature detectors→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
- Extreme Learning Machine for Regression and Multiclass Classification→Support-Vector NetworksLegacy edge — source detail unavailable
- Extreme Learning Machine for Regression and Multiclass Classification→Support-vector networksLegacy edge — source detail unavailable
- Learning Deep Architectures for AI→Support-Vector NetworksLegacy edge — source detail unavailable
- Phoneme recognition using time-delay neural networks→Parallel Distributed ProcessingLegacy edge — source detail unavailable
- Sequence to Sequence Learning with Neural Networks→On the difficulty of training Recurrent Neural NetworksLegacy edge — source detail unavailable
- Sequence to Sequence Learning with Neural Networks→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
- Distributed Representations of Sentences and Documents→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Understanding the difficulty of training deep feedforward neural networksLegacy edge — source detail unavailable
- Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…→Understanding the difficulty of training deep feedforward neural networksLegacy edge — source detail unavailable
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
- Character-level Convolutional Networks for Text Classification→On the difficulty of training Recurrent Neural NetworksLegacy edge — source detail unavailable
- Character-level Convolutional Networks for Text Classification→Improving neural networks by preventing co-adaptation of feature detectorsLegacy edge — source detail unavailable
- Character-level Convolutional Networks for Text Classification→Phoneme recognition using time-delay neural networksLegacy edge — source detail unavailable
- Character-level Convolutional Networks for Text Classification→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- The Limitations of Deep Learning in Adversarial Settings→Learning Deep Architectures for AILegacy edge — source detail unavailable
- The Limitations of Deep Learning in Adversarial Settings→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
- Deep Learning in Medical Image Analysis→Understanding the difficulty of training deep feedforward neural networksLegacy edge — source detail unavailable
- Deep Learning in Medical Image Analysis→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Deep Learning in Medical Image Analysis→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
- Deep learning for healthcare: review, opportunities and challenges→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Deep learning for healthcare: review, opportunities and challenges→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
- Deep learning for healthcare: review, opportunities and challenges→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
- Deep learning for healthcare: review, opportunities and challenges→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→Understanding the difficulty of training deep feedforward neural networksLegacy edge — source detail unavailable
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→Improving neural networks by preventing co-adaptation of feature detectorsLegacy edge — source detail unavailable
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→ADADELTA: An Adaptive Learning Rate MethodLegacy edge — source detail unavailable
- Sequence to Sequence Learning with Neural Networks→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
- Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey→Learning Deep Architectures for AILegacy edge — source detail unavailable
- Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
- Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey→Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…Legacy edge — source detail unavailable
- Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey→The Limitations of Deep Learning in Adversarial SettingsLegacy edge — source detail unavailable
- Automatic differentiation in machine learning: a survey→Theory of the backpropagation neural networkLegacy edge — source detail unavailable
- Support-vector networks→Parallel Distributed ProcessingLegacy edge — source detail unavailable
- ADADELTA: An Adaptive Learning Rate Method→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Parallel Distributed Processing | 1986 | 15,411 |
What cites it, inside the corpus
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Topics
| Neural Networks and Applications | Computer Science |
| Control Systems and Identification | Engineering |
| Blind Source Separation Techniques | Computer Science |
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