Kaggle Reading Group Language Models

Media Summary: This week we're starting a new paper in the This week we'll be starting the paper "Learning from Dialogue after Deployment: Feed Yourself, Chatbot!" by Hancock et al, 2019. This week we'll be starting EfficientNet (Tan & Le, 2019), which was published at ICML 2019. The paper proposes a new family of ...

Kaggle Reading Group Language Models - Detailed Analysis & Overview

This week we're starting a new paper in the This week we'll be starting the paper "Learning from Dialogue after Deployment: Feed Yourself, Chatbot!" by Hancock et al, 2019. This week we'll be starting EfficientNet (Tan & Le, 2019), which was published at ICML 2019. The paper proposes a new family of ...

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Kaggle Reading Group: Language Models are Unsupervised Multitask Learners (GPT-2) | Kaggle

Kaggle Reading Group: Neural Networks and Neural Language Models | Kaggle

Kaggle Reading Group: Language Models are Unsupervised Multitask Learners (GPT-2, Part 3) | Kaggle

Kaggle Reading Group: Neural Networks and Neural Language Models (Part 2: Training) | Kaggle

Kaggle Reading Group: Language Models are Unsupervised Multitask Learners (GPT-2, Part 2) | Kaggle

Kaggle Reading Group: XLNet | Kaggle

Kaggle Reading Group: Neural Networks and Neural Language Models (Part 3: Embeddings) | Kaggle

Kaggle Reading Group: Universal Sentence Encoder | Kaggle

Kaggle Reading Group: Learning from Dialogue after Deployment | Kaggle

Kaggle Reading Group: Probing Neural Network Comprehension of Natural Language Arguments | Kaggle

Kaggle Reading Group: Multi-Task Deep Neural Networks for Natural Language Understanding | Kaggle

Kaggle Reading Group: Dissecting contextual word embeddings | Kaggle

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Kaggle Reading Group: Language Models are Unsupervised Multitask Learners (GPT-2) | Kaggle

Kaggle Reading Group: Language Models are Unsupervised Multitask Learners (GPT-2) | Kaggle

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Kaggle Reading Group: Neural Networks and Neural Language Models | Kaggle

Kaggle Reading Group: Neural Networks and Neural Language Models | Kaggle

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Kaggle Reading Group: Language Models are Unsupervised Multitask Learners (GPT-2, Part 3) | Kaggle

Kaggle Reading Group: Language Models are Unsupervised Multitask Learners (GPT-2, Part 3) | Kaggle

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Kaggle Reading Group: Neural Networks and Neural Language Models (Part 2: Training) | Kaggle

Kaggle Reading Group: Neural Networks and Neural Language Models (Part 2: Training) | Kaggle

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Kaggle Reading Group: Language Models are Unsupervised Multitask Learners (GPT-2, Part 2) | Kaggle

Kaggle Reading Group: Language Models are Unsupervised Multitask Learners (GPT-2, Part 2) | Kaggle

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Kaggle Reading Group: XLNet | Kaggle

Kaggle Reading Group: XLNet | Kaggle

This week we're starting a new paper in the

Kaggle Reading Group: Neural Networks and Neural Language Models (Part 3: Embeddings) | Kaggle

Kaggle Reading Group: Neural Networks and Neural Language Models (Part 3: Embeddings) | Kaggle

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Kaggle Reading Group: Universal Sentence Encoder | Kaggle

Kaggle Reading Group: Universal Sentence Encoder | Kaggle

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Kaggle Reading Group: Learning from Dialogue after Deployment | Kaggle

Kaggle Reading Group: Learning from Dialogue after Deployment | Kaggle

This week we'll be starting the paper "Learning from Dialogue after Deployment: Feed Yourself, Chatbot!" by Hancock et al, 2019.

Kaggle Reading Group: Probing Neural Network Comprehension of Natural Language Arguments | Kaggle

Kaggle Reading Group: Probing Neural Network Comprehension of Natural Language Arguments | Kaggle

BERT (which we

Kaggle Reading Group: Multi-Task Deep Neural Networks for Natural Language Understanding | Kaggle

Kaggle Reading Group: Multi-Task Deep Neural Networks for Natural Language Understanding | Kaggle

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Kaggle Reading Group: Dissecting contextual word embeddings | Kaggle

Kaggle Reading Group: Dissecting contextual word embeddings | Kaggle

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Kaggle Reading Group: EfficientNet | Kaggle

Kaggle Reading Group: EfficientNet | Kaggle

This week we'll be starting EfficientNet (Tan & Le, 2019), which was published at ICML 2019. The paper proposes a new family of ...