Long Short-Term Memory
Sepp Hochreiter, Jürgen Schmidhuber
The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.
this paper
works it cites
works citing it
node size = global citations · hover for the full title
Citation edge evidence
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…→Long Short-Term MemoryLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Long Short-Term MemoryLegacy edge — source detail unavailable
- A survey on deep learning in medical image analysis→Long Short-Term MemoryLegacy edge — source detail unavailable
- Sequence to Sequence Learning with Neural Networks→Long Short-Term MemoryLegacy edge — source detail unavailable
- A Comprehensive Survey on Graph Neural Networks→Long Short-Term MemoryLegacy edge — source detail unavailable
- Speech recognition with deep recurrent neural networks→Long Short-Term MemoryLegacy edge — source detail unavailable
- Explaining and Harnessing Adversarial Examples→Long Short-Term MemoryLegacy edge — source detail unavailable
- Graph neural networks: A review of methods and applications→Long Short-Term MemoryLegacy edge — source detail unavailable
- Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network→Long Short-Term MemoryLegacy edge — source detail unavailable
- A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures→Long Short-Term MemoryLegacy edge — source detail unavailable
- Framewise phoneme classification with bidirectional LSTM and other neural network archite…→Long Short-Term MemoryLegacy edge — source detail unavailable
- Connectionist temporal classification→Long Short-Term MemoryLegacy edge — source detail unavailable
- Learning to Forget: Continual Prediction with LSTM→Long Short-Term MemoryLegacy edge — source detail unavailable
- Deep learning and process understanding for data-driven Earth system science→Long Short-Term MemoryLegacy edge — source detail unavailable
- Hierarchical Attention Networks for Document Classification→Long Short-Term MemoryLegacy edge — source detail unavailable
- Neural Architectures for Named Entity Recognition→Long Short-Term MemoryLegacy edge — source detail unavailable
- BNAI, NO-TOKEN, and MIND-UNITY: Pillars of a Systemic Revolution in Artificial Intelligen…→Long Short-Term MemoryLegacy edge — source detail unavailable
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…→Long Short-Term MemoryLegacy edge — source detail unavailable
- On the difficulty of training Recurrent Neural Networks→Long Short-Term MemoryLegacy edge — source detail unavailable
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→Long Short-Term MemoryLegacy edge — source detail unavailable
- On the importance of initialization and momentum in deep learning→Long Short-Term MemoryLegacy edge — source detail unavailable
- Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Transla…→Long Short-Term MemoryLegacy edge — source detail unavailable
- Sequence to Sequence Learning with Neural Networks→Long Short-Term MemoryLegacy edge — source detail unavailable
- Grandmaster level in StarCraft II using multi-agent reinforcement learning→Long Short-Term MemoryLegacy edge — source detail unavailable
- A Comprehensive Survey on Graph Neural Networks→Long Short-Term MemoryLegacy edge — source detail unavailable
- Bidirectional LSTM-CRF Models for Sequence Tagging→Long Short-Term MemoryLegacy edge — source detail unavailable
- Character-level Convolutional Networks for Text Classification→Long Short-Term MemoryLegacy edge — source detail unavailable
- Transformer-XL: Attentive Language Models beyond a Fixed-Length Context→Long Short-Term MemoryLegacy edge — source detail unavailable
- Deep learning for healthcare: review, opportunities and challenges→Long Short-Term MemoryLegacy edge — source detail unavailable
- Reservoir computing approaches to recurrent neural network training→Long Short-Term MemoryLegacy edge — source detail unavailable
- Long short-term memory recurrent neural network architectures for large scale acoustic mo…→Long Short-Term MemoryLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Long Short-Term MemoryLegacy edge — source detail unavailable
- Deep learning and its applications to machine health monitoring→Long Short-Term MemoryLegacy edge — source detail unavailable
- Generalizing from a Few Examples→Long Short-Term MemoryLegacy edge — source detail unavailable
- Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions→Long Short-Term MemoryLegacy edge — source detail unavailable
- Long Short-Term Memory→Learning long-term dependencies with gradient descent is difficultLegacy edge — source detail unavailable
- On the importance of initialization and momentum in deep learning→Learning long-term dependencies with gradient descent is difficultLegacy edge — source detail unavailable
- On the difficulty of training Recurrent Neural Networks→Learning long-term dependencies with gradient descent is difficultLegacy edge — source detail unavailable
- On the difficulty of training Recurrent Neural Networks→Reservoir computing approaches to recurrent neural network trainingLegacy edge — source detail unavailable
- Bidirectional LSTM-CRF Models for Sequence Tagging→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→On the difficulty of training Recurrent Neural NetworksLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Framewise phoneme classification with bidirectional LSTM and other neural network archite…Legacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Learning long-term dependencies with gradient descent is difficultLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Connectionist temporal classificationLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Learning to Forget: Continual Prediction with LSTMLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Long short-term memory recurrent neural network architectures for large scale acoustic mo…Legacy edge — source detail unavailable
- Connectionist temporal classification→Framewise phoneme classification with bidirectional LSTM and other neural network archite…Legacy 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→Learning long-term dependencies with gradient descent is difficultLegacy edge — source detail unavailable
- Sequence to Sequence Learning with Neural Networks→Connectionist temporal classificationLegacy edge — source detail unavailable
- Sequence to Sequence Learning with Neural Networks→Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Transla…Legacy edge — source detail unavailable
- Learning to Forget: Continual Prediction with LSTM→Learning long-term dependencies with gradient descent is difficultLegacy edge — source detail unavailable
- Speech recognition with deep recurrent neural networks→Framewise phoneme classification with bidirectional LSTM and other neural network archite…Legacy edge — source detail unavailable
- Speech recognition with deep recurrent neural networks→Connectionist temporal classificationLegacy edge — source detail unavailable
- Character-level Convolutional Networks for Text Classification→On the importance of initialization and momentum in deep learningLegacy 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→Framewise phoneme classification with bidirectional LSTM and other neural network archite…Legacy edge — source detail unavailable
- Reservoir computing approaches to recurrent neural network training→Learning long-term dependencies with gradient descent is difficultLegacy edge — source detail unavailable
- Reservoir computing approaches to recurrent neural network training→Learning to Forget: Continual Prediction with LSTMLegacy edge — source detail unavailable
- Long short-term memory recurrent neural network architectures for large scale acoustic mo…→Framewise phoneme classification with bidirectional LSTM and other neural network archite…Legacy edge — source detail unavailable
- Long short-term memory recurrent neural network architectures for large scale acoustic mo…→Learning long-term dependencies with gradient descent is difficultLegacy edge — source detail unavailable
- Long short-term memory recurrent neural network architectures for large scale acoustic mo…→Learning to Forget: Continual Prediction with LSTMLegacy edge — source detail unavailable
- Long short-term memory recurrent neural network architectures for large scale acoustic mo…→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
- Neural Architectures for Named Entity Recognition→Bidirectional LSTM-CRF Models for Sequence TaggingLegacy edge — source detail unavailable
- Neural Architectures for Named Entity Recognition→Learning long-term dependencies with gradient descent is difficultLegacy edge — source detail unavailable
- Neural Architectures for Named Entity Recognition→Character-level Convolutional Networks for Text ClassificationLegacy edge — source detail unavailable
- Hierarchical Attention Networks for Document Classification→Character-level Convolutional Networks for Text ClassificationLegacy edge — source detail unavailable
- A survey on deep learning in medical image analysis→Learning long-term dependencies with gradient descent is difficultLegacy edge — source detail unavailable
- A survey on deep learning in medical image analysis→Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…Legacy edge — source detail unavailable
- A survey on deep learning in medical image analysis→Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Transla…Legacy edge — source detail unavailable
- Deep learning for healthcare: review, opportunities and challenges→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
- Deep learning for healthcare: review, opportunities and challenges→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→On the importance of initialization and momentum in deep learningLegacy edge — source detail unavailable
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review→Learning long-term dependencies with gradient descent is difficultLegacy edge — source detail unavailable
- Deep learning and its applications to machine health monitoring→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
- Deep learning and its applications to machine health monitoring→Learning to Forget: Continual Prediction with LSTMLegacy edge — source detail unavailable
- Deep learning and its applications to machine health monitoring→Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…Legacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Bidirectional LSTM-CRF Models for Sequence TaggingLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…Legacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Neural Architectures for Named Entity RecognitionLegacy edge — source detail unavailable
- Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network→On the difficulty of training Recurrent Neural NetworksLegacy edge — source detail unavailable
- Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network→Framewise phoneme classification with bidirectional LSTM and other neural network archite…Legacy edge — source detail unavailable
- Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
- Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network→Long short-term memory recurrent neural network architectures for large scale acoustic mo…Legacy edge — source detail unavailable
- A Comprehensive Survey on Graph Neural Networks→Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…Legacy edge — source detail unavailable
- Deep learning and process understanding for data-driven Earth system science→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
- A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures→Framewise phoneme classification with bidirectional LSTM and other neural network archite…Legacy edge — source detail unavailable
- A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures→Learning long-term dependencies with gradient descent is difficultLegacy edge — source detail unavailable
- A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures→Learning to Forget: Continual Prediction with LSTMLegacy edge — source detail unavailable
- A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures→Deep Convolutional Neural Networks for Image Classification: A Comprehensive ReviewLegacy edge — source detail unavailable
- A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures→Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Transla…Legacy edge — source detail unavailable
- Sequence to Sequence Learning with Neural Networks→Connectionist temporal classificationLegacy edge — source detail unavailable
- Sequence to Sequence Learning with Neural Networks→Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Transla…Legacy edge — source detail unavailable
- Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
- Graph neural networks: A review of methods and applications→Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…Legacy edge — source detail unavailable
- Graph neural networks: A review of methods and applications→A Comprehensive Survey on Graph Neural NetworksLegacy edge — source detail unavailable
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…→Generalizing from a Few ExamplesLegacy edge — source detail unavailable
- A Comprehensive Survey on Graph Neural Networks→Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…Legacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Learning long-term dependencies with gradient descent is difficult | 1994 | 8,610 |
What cites it, inside the corpus
Links
Topics
| Neural Networks and Applications | Computer Science |
| Domain Adaptation and Few-Shot Learning | Computer Science |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports2 author record(s) attached.
- supports34 reference(s) recorded.
- supportsThe DOI's year agrees with the publication year.
- supportsA title is present.
Provenance
sha256 7e3d99a592f7f61f…