Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Citation edge evidence

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• On the Dangers of Stochastic Parrots→Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerLegacy edge — source detail unavailable
• Survey of Hallucination in Natural Language Generation→Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerLegacy edge — source detail unavailable
• Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…→Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerLegacy edge — source detail unavailable
• Large language models encode clinical knowledge→Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerLegacy edge — source detail unavailable
• HuggingFace's Transformers: State-of-the-art Natural Language Processing→Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerLegacy edge — source detail unavailable
• Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Met…→Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerLegacy edge — source detail unavailable
• FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence→Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerLegacy edge — source detail unavailable
• Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing→Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→BLEULegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Efficient Estimation of Word Representations in Vector SpaceLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→ROUGE: A Package for Automatic Evaluation of SummariesLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]Legacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Multitask LearningLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr…Legacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→A Learning Algorithm for Continually Running Fully Recurrent Neural NetworksLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Get To The Point: Summarization with Pointer-Generator NetworksLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→A Convolutional Neural Network for Modelling SentencesLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…Legacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→SciBERT: A Pretrained Language Model for Scientific TextLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→An Overview of Multi-Task Learning in Deep Neural NetworksLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→XLNet: Generalized Autoregressive Pretraining for Language UnderstandingLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Deep Contextualized Word RepresentationsLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Cross-lingual Language Model PretrainingLegacy edge — source detail unavailable
• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Teaching Machines to Read and ComprehendLegacy edge — source detail unavailable
• Teaching Machines to Read and Comprehend→A Convolutional Neural Network for Modelling SentencesLegacy edge — source detail unavailable
• Distilling the Knowledge in a Neural Network→Dropout: a simple way to prevent neural networks from overfittingLegacy 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
• Sequence to Sequence Learning with Neural Networks→BLEULegacy edge — source detail unavailable
• ROUGE: A Package for Automatic Evaluation of Summaries→BLEULegacy edge — source detail unavailable
• Glove: Global Vectors for Word Representation→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
• Get To The Point: Summarization with Pointer-Generator Networks→Teaching Machines to Read and ComprehendLegacy edge — source detail unavailable
• Get To The Point: Summarization with Pointer-Generator Networks→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
• Get To The Point: Summarization with Pointer-Generator Networks→ROUGE: A Package for Automatic Evaluation of SummariesLegacy edge — source detail unavailable
• Deep Contextualized Word Representations→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
• Deep Contextualized Word Representations→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
• Deep Contextualized Word Representations→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
• Cross-lingual Language Model Pretraining→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
• Cross-lingual Language Model Pretraining→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• XLNet: Generalized Autoregressive Pretraining for Language Understanding→Deep Contextualized Word RepresentationsLegacy edge — source detail unavailable
• XLNet: Generalized Autoregressive Pretraining for Language Understanding→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• XLNet: Generalized Autoregressive Pretraining for Language Understanding→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• [No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]→Sequence to Sequence Learning with Neural NetworksLegacy 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→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
• SQuAD: 100,000+ Questions for Machine Comprehension of Text→Teaching Machines to Read and ComprehendLegacy edge — source detail unavailable
• HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
• HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→Cross-lingual Language Model PretrainingLegacy edge — source detail unavailable
• HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]Legacy edge — source detail unavailable
• HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
• SciBERT: A Pretrained Language Model for Scientific Text→Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr…Legacy edge — source detail unavailable
• SciBERT: A Pretrained Language Model for Scientific Text→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter→Deep Contextualized Word RepresentationsLegacy edge — source detail unavailable
• DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
• DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• HuggingFace's Transformers: State-of-the-art Natural Language Processing→Deep Contextualized Word RepresentationsLegacy edge — source detail unavailable
• HuggingFace's Transformers: State-of-the-art Natural Language Processing→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• HuggingFace's Transformers: State-of-the-art Natural Language Processing→SciBERT: A Pretrained Language Model for Scientific TextLegacy edge — source detail unavailable
• HuggingFace's Transformers: State-of-the-art Natural Language Processing→DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterLegacy edge — source detail unavailable
• FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→Distilling the Knowledge in a Neural NetworkLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→A Convolutional Neural Network for Modelling SentencesLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→Cross-lingual Language Model PretrainingLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→XLNet: Generalized Autoregressive Pretraining for Language UnderstandingLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]Legacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→SciBERT: A Pretrained Language Model for Scientific TextLegacy edge — source detail unavailable
• Pre-trained models for natural language processing: A survey→DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterLegacy edge — source detail unavailable
• Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Met…→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Met…→HuggingFace's Transformers: State-of-the-art Natural Language ProcessingLegacy edge — source detail unavailable
• Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
• Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing→Multitask LearningLegacy edge — source detail unavailable
• Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing→Efficient Estimation of Word Representations in Vector SpaceLegacy edge — source detail unavailable
• Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing→[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]Legacy edge — source detail unavailable
• Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing→SciBERT: A Pretrained Language Model for Scientific TextLegacy edge — source detail unavailable
• On the Dangers of Stochastic Parrots→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
• On the Dangers of Stochastic Parrots→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
• Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…→A Convolutional Neural Network for Modelling SentencesLegacy edge — source detail unavailable
• Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
• Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
• Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…→SQuAD: 100,000+ Questions for Machine Comprehension of TextLegacy edge — source detail unavailable
• Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
• Large language models encode clinical knowledge→BLEULegacy edge — source detail unavailable
• Large language models encode clinical knowledge→Domain-Specific Language Model Pretraining for Biomedical Natural Language ProcessingLegacy edge — source detail unavailable