Official Paper Review Notes

• paperswithcode - AI 논문과 Offical Code들을 볼 수 있는 페이지.
• openreview - 심사중인 논문, 리뷰 및 피드백을 볼 수 있는 페이지.
• AI-Deadlin - Top 티어 저널의 컨퍼런스 정보 페이지.
• Deep-Learning-Papers-Reading-Roadmap

Computer Vision (CV)

Natural Language Processing (NLP)

• Huggingface
• 꼭 읽어야 할 NLP 논문 100가지
• 한국어 텍스트 마이닝을 위한 공부거리들
• 검색 및 NLP 분야의 질의 응답에 관한 큐레이션
• Stanford CS224N: Natural Language Processing with Deep Learning

Recommender Systems (RS)

• Must-read papers on Recommender System
• Datasets-for-Recommender-Systems

Reinforcement Learning (RL)

• utilForever RL paper study

Generative Adversarial Network (GAN)

Transformer

• Huggingface Transformers Docs
• Let's build GPT: from scratch, in code, spelled out.

Large Language Models (LLM)

• Let's find out the latest and various LLM-related papers.
• A Survey of Large Language Models

ETC

• 딥러닝 논문 읽기 모임

Notes

Top proceedings/journals (ML/DL)

• ICLR
• NeurIPS
• ICML
• AAAI
• IEEE Transactions On Systems

What to Read paper

1. Make a list of papers to read
2. Add or remove papers from the list.

How to Read paper

1. Look at the title, summary, and chart of the paper first.
2. Read the introduction, conclusion, and chart and omit unnecessary parts.

Feedback

1. What did the author want to accomplish?
2. What are the important factors in the approach of this study?
3. Can you use this paper yourself?
4. What other references would you like to refer to?