Seminar > Lecture Reviews
CS224n
2020.07 ~ 2021.01
일시
논문 제목
발표자
자료
2020. 07. 28
Lecture3_Word Window Classification, Neural Networks, and PyTorch
장준원
Evaluation methods for unsupervised word embeddings (박재영).pdf2020. 08. 03
Lecture4 Matrix Calculus&Backpropagation
한은비
Lecture4 Matrix Calculus&Backpropagation (한은비).pdf2020. 08. 13
lecture5 Dependency Parsing
강홍구
lecture5 Dependency Parsing (강홍구).pdf2020. 08. 21
Lecture 7 Vanishing Gradients and Fancy RNN
장준원
lecture5 Dependency Parsing (강홍구).pdf2020. 08. 21
Lecture 11 Convolutional Networks for NLP
장준원
Lecture 11 - Convolutional Networks for NLP.pdf2020. 09. 17
Lecture 11 Convolutional Networks for NLP
장준원
Lecture 11 - Convolutional Networks for NLP.pdf2020. 10. 01
Lecture 13 Contextual Word Representation
강홍구
Lecture 13 Contextual Word Representation.pptx2020. 10. 15
Lecture 15 Natural Language Generation
장준원
Lecture 15 - Natural Language Generation.pdf2020. 10. 25
Lecture 16 Coreference
강홍구
Lecture 16 coreference.pptx2021. 01. 18
Lecture 17 Multitask Learning
강홍구
Lecture 17 Multitask Learning.pptx2021. 01. 18
Lecture 18 Tree Recursive Neural Networks, Constituency Parsing, and Sentiment
장준원
Lecture 18 Tree Recursive Neural Networks, Constituency Parsing, and Sentiment .pdf2021. 01. 18
Lecture 18 Tree Recursive Neural Networks, Constituency Parsing, and Sentiment
장준원
Lecture 18 Tree Recursive Neural Networks, Constituency Parsing, and Sentiment .pdf