Booststudy
Study를 통해 공부한 내용을 기록한다.
2022
- [논문리뷰] R-Drop: Regularized Dropout for Neural Network
- [논문리뷰] Self-Explaining Structures Improve NLP Models
- [논문리뷰] An Improved Baseline for Sentence-level Relation Extraction
- [논문리뷰] RBERT: Enriching Pre-Training Language Model with Entity Information for Relation Classification
- PyTorch Module and Optimize
- Gradient Descent
- Vector and Matrix
- PyTorch
2021
- [논문리뷰] VQGAN: Taming Transformers for High-Resolution Image Synthesis
- Variational AutoEncoder
- [Reading] Rules of Machine Learning: Best Practices for ML Engineering
- [논문리뷰] Dense Passage Retrieval for Open-Domain Question Answering
- Huggingface and CLS
- KLUE Relation Extraction Competition
- 정규표현식 - 메타문자
- Hugging Face Practice
- Word2Vec
- bahdanau attention 논문 Reading
- NaiveBayes Classifier
- Transformer
- Singular_Value_Decomposition(특이값_분해)