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season3
Jiphyeonjeon Season 3
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jiphyeonjeon/season3 Issues
DALL-E ppt
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2 years ago
Attention Is All You Need
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2 years ago
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3
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
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2 years ago
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3
What Does BERT Look At? An Analysis of BERT’s Attention
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2 years ago
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1
A Survey on Low-Resource Neural Machine Translation
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2 years ago
Chapter 21. Memory Network on the bAbI dataset ; 01) ~ 02)
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2 years ago
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2
Longformer: The Long-Document Transformer, Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
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2 years ago
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1
Autoregressive Entity Retrieval
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Chapter 20. Text Summarization ; 01) ~ 02)
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Chapter 19. Topic Modeling ; 01) ~ 07)
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PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
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1
Chain of Thought Prompting Elicits Reasoning in Large Language Models
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Recent Advances and Challenges in Task-oriented Dialog Systems (Survey Paper)
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Reading Wikipedia to Answer Open-Domain Questions
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Reducing the high cost of training NLP models with SRU++
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1
Chapter 18. Fine-tuning BERT with different tasks ; 01) ~ 08)
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1
SimCSE: Simple Contrastive Learning of Sentence Embeddings
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ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
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Chapter 17. BERT (Bidirectional Encoder Representations from Transformers) ; 01) ~ 07)
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2 years ago
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
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2 years ago
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
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3
Chapter 16. Transformer ; 01) ~ 03)
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Graph Attention Networks
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1
Chapter 15. Attention Mechanism ; 01) ~ 03)
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Emergent Abilities of Large Language Models
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2
Multi-Task Deep Neural Networks for Natural Language Understanding
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2
Chapter 14. RNN Seq2Seq ; 01) ~ 03)
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2
Beyond English-Centric Multilingual Machine Translation
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2
Chapter 13. Subword Tokenizer ; 01) ~ 04)
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3
Transformer Memory as a Differentiable Search Index
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2
Chapter 12. Sequence Labeling ; 01) ~ 07)
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3
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
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Chapter 10. RNN Text Classification ; 01) ~ 08)
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Chapter 11. 1D CNN Text Classification ; 01) ~ 07)
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LinkBERT: Pretraining Language Models with Document Links
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RoBERTa: A Robustly Optimized BERT Pretraining Approach
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2
LaMDA : Language Models for Dialog Applications
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2
XLNet: Generalized Autoregressive Pretraining for Language Understanding
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2
Chapter 9. Word Embedding ; 08) ~ 13)
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Training Compute-Optimal Large Language Models
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Chapter 9. Word Embedding ; 01) ~ 07)
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Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence
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4
Deep contextualized word representations
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Chapter 8. Recurrent neural Network ; 01) ~ 08)
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FINETUNED LANGUAGE MODELS ARE ZERO-SHOT LEARNERS
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1
P-Tuning : GPT Understands, Too
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Improving Language Understanding by Generative Pre-Training (GPT 1)
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4
Language Models are Unsupervised Multitask Learners (GPT-2)
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Chapter 7. Deep Learning ; 01) ~ 10)
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2 years ago
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Chapter 6. Machine Learning ; 06) ~ 10)
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2 years ago
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