Convolutional Sequence to Sequence Learning
Jonas Gehring low, Michael Auli, David Grangier, Denis Yarats low, Yann Dauphin
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- Attention Is All You Need→Convolutional Sequence to Sequence LearningLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Convolutional Sequence to Sequence LearningLegacy edge — source detail unavailable
- fairseq: A Fast, Extensible Toolkit for Sequence Modeling→Convolutional Sequence to Sequence LearningLegacy edge — source detail unavailable
- GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond→Convolutional Sequence to Sequence LearningLegacy edge — source detail unavailable
- TabNet: Attentive Interpretable Tabular Learning→Convolutional Sequence to Sequence LearningLegacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→Convolutional Sequence to Sequence LearningLegacy edge — source detail unavailable
- Convolutional Sequence to Sequence Learning→Long Short-Term MemoryLegacy edge — source detail unavailable
- Convolutional Sequence to Sequence Learning→Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…Legacy edge — source detail unavailable
- Convolutional Sequence to Sequence Learning→ROUGE: A Package for Automatic Evaluation of SummariesLegacy edge — source detail unavailable
- Convolutional Sequence to Sequence Learning→Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr…Legacy edge — source detail unavailable
- Convolutional Sequence to Sequence Learning→The Handbook of brain theory and neural networksLegacy edge — source detail unavailable
- Convolutional Sequence to Sequence Learning→On the importance of initialization and momentum in deep learningLegacy edge — source detail unavailable
- Convolutional Sequence to Sequence Learning→Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Transla…Legacy edge — source detail unavailable
- Convolutional Sequence to Sequence Learning→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
- Convolutional Sequence to Sequence Learning→Abstractive Text Summarization using Sequence-to-sequence RNNs and BeyondLegacy edge — source detail unavailable
- On the importance of initialization and momentum in deep learning→Long Short-Term MemoryLegacy edge — source detail unavailable
- Attention Is All You Need→Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr…Legacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Long Short-Term MemoryLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr…Legacy edge — source detail unavailable
- fairseq: A Fast, Extensible Toolkit for Sequence Modeling→ROUGE: A Package for Automatic Evaluation of SummariesLegacy edge — source detail unavailable
- fairseq: A Fast, Extensible Toolkit for Sequence Modeling→Abstractive Text Summarization using Sequence-to-sequence RNNs and BeyondLegacy edge — source detail unavailable
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…→On the importance of initialization and momentum in deep learningLegacy edge — source detail unavailable
- Sequence to Sequence Learning with Neural Networks→Long Short-Term MemoryLegacy 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 Phrase Representations using RNN Encoder-Decoder for Statistical Machine Transla…→Long Short-Term MemoryLegacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→Long Short-Term MemoryLegacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→Attention Is All You NeedLegacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
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Topics
| Topic Modeling | Computer Science |
| Natural Language Processing Techniques | Computer Science |
| Algorithms and Data Compression | Computer Science |
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