A unified architecture for natural language processing

Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

• AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Glove: Global Vectors for Word Representation→A unified architecture for natural language processingLegacy edge — source detail unavailable
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Deep learning in neural networks: An overview→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Distributed Representations of Words and Phrases and their Compositionality→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Understanding the difficulty of training deep feedforward neural networks→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Efficient Estimation of Word Representations in Vector Space→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Enriching Word Vectors with Subword Information→A unified architecture for natural language processingLegacy edge — source detail unavailable
• DeepWalk→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Curriculum learning→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Distributed Representations of Sentences and Documents→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Learning Deep Architectures for AI→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Deep Learning in Medical Image Analysis→A unified architecture for natural language processingLegacy edge — source detail unavailable
• An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Mode…→A unified architecture for natural language processingLegacy edge — source detail unavailable
• The Limitations of Deep Learning in Adversarial Settings→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Knowledge Graph Embedding by Translating on Hyperplanes→A unified architecture for natural language processingLegacy edge — source detail unavailable
• A Convolutional Neural Network for Modelling Sentences→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Learning Word Vectors for Sentiment Analysis→A unified architecture for natural language processingLegacy edge — source detail unavailable
• A survey of deep neural network architectures and their applications→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Understanding Machine Learning: From Theory To Algorithms→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→A unified architecture for natural language processingLegacy edge — source detail unavailable
• From Frequency to Meaning: Vector Space Models of Semantics→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Linguistic Regularities in Continuous Space Word Representations→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Deep learning and its applications to machine health monitoring→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Unsupervised Visual Representation Learning by Context Prediction→A unified architecture for natural language processingLegacy edge — source detail unavailable
• LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency→A unified architecture for natural language processingLegacy edge — source detail unavailable
• A Survey on Multi-Task Learning→A unified architecture for natural language processingLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Why Does Unsupervised Pre-training Help Deep Learning?→A unified architecture for natural language processingLegacy edge — source detail unavailable
• Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…→A unified architecture for natural language processingLegacy edge — source detail unavailable
• A unified architecture for natural language processing→Transductive Inference for Text Classification using Support Vector MachinesLegacy edge — source detail unavailable
• A unified architecture for natural language processing→Phoneme recognition using time-delay neural networksLegacy edge — source detail unavailable
• A unified architecture for natural language processing→The Proposition Bank: An Annotated Corpus of Semantic RolesLegacy edge — source detail unavailable
• A unified architecture for natural language processing→A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled DataLegacy edge — source detail unavailable
• Understanding the difficulty of training deep feedforward neural networks→Learning Deep Architectures for AILegacy edge — source detail unavailable
• From Frequency to Meaning: Vector Space Models of Semantics→A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled DataLegacy edge — source detail unavailable
• Learning Deep Architectures for AI→Curriculum learningLegacy edge — source detail unavailable
• Deep learning in neural networks: An overview→Learning Deep Architectures for AILegacy edge — source detail unavailable
• Deep learning in neural networks: An overview→Why Does Unsupervised Pre-training Help Deep Learning?Legacy edge — source detail unavailable
• Deep learning in neural networks: An overview→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• Learning Word Vectors for Sentiment Analysis→From Frequency to Meaning: Vector Space Models of SemanticsLegacy edge — source detail unavailable
• A Convolutional Neural Network for Modelling Sentences→Phoneme recognition using time-delay neural networksLegacy edge — source detail unavailable
• A Convolutional Neural Network for Modelling Sentences→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
• A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data→Transductive Inference for Text Classification using Support Vector MachinesLegacy edge — source detail unavailable
• Distributed Representations of Sentences and Documents→From Frequency to Meaning: Vector Space Models of SemanticsLegacy edge — source detail unavailable
• Distributed Representations of Sentences and Documents→Learning Word Vectors for Sentiment AnalysisLegacy edge — source detail unavailable
• Distributed Representations of Sentences and Documents→Linguistic Regularities in Continuous Space Word RepresentationsLegacy edge — source detail unavailable
• Distributed Representations of Sentences and Documents→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
• Distributed Representations of Sentences and Documents→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
• Distributed Representations of Sentences and Documents→Efficient Estimation of Word Representations in Vector SpaceLegacy edge — source detail unavailable
• Why Does Unsupervised Pre-training Help Deep Learning?→Learning Deep Architectures for AILegacy edge — source detail unavailable
• Why Does Unsupervised Pre-training Help Deep Learning?→Curriculum learningLegacy edge — source detail unavailable
• Linguistic Regularities in Continuous Space Word Representations→Efficient Estimation of Word Representations in Vector SpaceLegacy 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
• Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition→Why Does Unsupervised Pre-training Help Deep Learning?Legacy edge — source detail unavailable
• Distributed Representations of Words and Phrases and their Compositionality→From Frequency to Meaning: Vector Space Models of SemanticsLegacy edge — source detail unavailable
• Distributed Representations of Words and Phrases and their Compositionality→Linguistic Regularities in Continuous Space Word RepresentationsLegacy edge — source detail unavailable
• DeepWalk→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• DeepWalk→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
• Glove: Global Vectors for Word Representation→Learning Deep Architectures for AILegacy edge — source detail unavailable
• Glove: Global Vectors for Word Representation→Linguistic Regularities in Continuous Space Word RepresentationsLegacy edge — source detail unavailable
• Glove: Global Vectors for Word Representation→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
• Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank→From Frequency to Meaning: Vector Space Models of SemanticsLegacy edge — source detail unavailable
• Knowledge Graph Embedding by Translating on Hyperplanes→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
• Curriculum learning→Learning Deep Architectures for AILegacy edge — source detail unavailable
• Enriching Word Vectors with Subword Information→From Frequency to Meaning: Vector Space Models of SemanticsLegacy edge — source detail unavailable
• Enriching Word Vectors with Subword Information→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
• Enriching Word Vectors with Subword Information→Efficient Estimation of Word Representations in Vector SpaceLegacy 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 learning in neural networks: An overviewLegacy edge — source detail unavailable
• A survey of deep neural network architectures and their applications→Learning Deep Architectures for AILegacy edge — source detail unavailable
• A survey of deep neural network architectures and their applications→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
• A survey of deep neural network architectures and their applications→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
• An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Mode…→Phoneme recognition using time-delay neural networksLegacy edge — source detail unavailable
• Deep learning and its applications to machine health monitoring→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
• Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→From Frequency to Meaning: Vector Space Models of SemanticsLegacy edge — source detail unavailable
• Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Phoneme recognition using time-delay neural networksLegacy edge — source detail unavailable
• Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→A Convolutional Neural Network for Modelling SentencesLegacy edge — source detail unavailable
• Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Distributed Representations of Sentences and DocumentsLegacy edge — source detail unavailable
• Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
• Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
• Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
• Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Enriching Word Vectors with Subword InformationLegacy edge — source detail unavailable
• Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Efficient Estimation of Word Representations in Vector SpaceLegacy edge — source detail unavailable
• AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…→A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled DataLegacy edge — source detail unavailable
• AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…→Distributed Representations of Sentences and DocumentsLegacy edge — source detail unavailable
• AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
• AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
• AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
• AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…→Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…Legacy edge — source detail unavailable
• Efficient Estimation of Word Representations in Vector Space→Learning Word Vectors for Sentiment AnalysisLegacy edge — source detail unavailable
• Efficient Estimation of Word Representations in Vector Space→Linguistic Regularities in Continuous Space Word RepresentationsLegacy edge — source detail unavailable
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled DataLegacy edge — source detail unavailable
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→Distributed Representations of Sentences and DocumentsLegacy edge — source detail unavailable
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…Legacy edge — source detail unavailable
• Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…→Distributed Representations of Sentences and DocumentsLegacy edge — source detail unavailable
• Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
• Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
• A Survey on Multi-Task Learning→A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled DataLegacy edge — source detail unavailable
• LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
• LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Understanding the difficulty of training deep feedforward neural networksLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→Efficient Estimation of Word Representations in Vector SpaceLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• On the Opportunities and Risks of Foundation Models→LoRA Fine-Tuning of a 3B Code LLM for Algorithmic EfficiencyLegacy edge — source detail unavailable
• Unsupervised Visual Representation Learning by Context Prediction→A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled DataLegacy edge — source detail unavailable
• Unsupervised Visual Representation Learning by Context Prediction→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
• Understanding Machine Learning: From Theory To Algorithms→Learning Deep Architectures for AILegacy edge — source detail unavailable