Archives
- 07 May [DevOps]GitFlow
- 07 May [Paper]LoRA
- 06 May [Paper]ResNet
- 02 May [Paper]Model Compression
- 26 Apr [Paper]Meta Learning
- 24 Apr [Paper]Regularization(2)
- 07 Apr [Study]Chapter 4. Case Studies and Real-world Application
- 03 Apr [Paper]ViT : Vision Transformer
- 02 Apr [Paper]CLIP
- 31 Mar [Study]Chapter 3. Multimodal Data Fusion Techniques
- 24 Mar [Study]Chapter 2. Understanding Multimodal Data
- 24 Mar [Paper]GPT3
- 22 Mar [Paper]BERT
- 20 Mar [Paper]Elmo
- 19 Mar [Paper]FastText
- 18 Mar [Paper]GloVe
- 17 Mar [Paper]Word2Vec
- 17 Mar [Study]Chapter 1. Introduction to Multimodal Research
- 10 Jan [Paper]Regularization(1)
- 02 Jan [Paper]인과추론이란?
- 01 Jan [Paper]T5
- 01 Jan [Paper]GPT1
- 01 Jan [ETC]Home server 구축기
- 01 Jan [BOOK]어른의 중력
- 29 Dec [Study]Chapter 19. GNNs for Science
- 28 Dec [Study]Chapter 18. GNN in Computational Biology
- 27 Dec [Study]Chapter 17. Scaling Up GNNs
- 26 Dec [Study]Chapter 16. Advanced Topics on GNNs
- 19 Dec [Study]Chapter 15. Deep Generative Models for Graphs
- 04 Dec [BOOK]LiveWeired, 니체의 말, 중용
- 24 Nov [BOOK]천문학자는 별을 보지 않는다, Whale
- 21 Nov [Study]Chapter 14. Traditional Generative Models for Graphs
- 21 Nov [Study]Chapter 13. Community Structure in Networks
- 21 Nov [Study]Chapter 12. Frequent Subgraph Mining with GNNs
- 21 Nov [Study]Chapter 11. Reasoning over Knowledge Graphs
- 17 Nov [BOOK]Can't hurt me
- 06 Nov [Study]Chapter 7. 제약 충족 문제
- 06 Nov [Study]Chapter 6, 제약 충족 문제
- 23 Oct [Study]Chapter 5, 대립 검색과 게임.
- 02 Oct [Study]Chapter 4, 복잡한 환경의 검색
- 18 Sep [Study]Chapter 3, 검색을 통한 문제해결
- 12 Sep [Study]Chapter 10. Knowledge Graph Embeddings
- 12 Sep [Study]Chpater 9. Theory of Graph Neural Networks
- 12 Sep [Study]Chapter 8. Applications of Graph Neural Networks
- 12 Sep [Study]Chapter 7. Graph Neural Networks 2: Design Space
- 12 Sep [Study]Chapyer 6. Graph Neural Networks 1: GNN Model
- 12 Sep [Study]Chapter 5. Label Propagation for Node Classification
- 12 Sep [Study]Chapter 4. Link Analysis: PageRank
- 12 Sep [Study]Chapter 3. Node Embeddings
- 12 Sep [Study]Chapter 2. Traditional Methods for ML on Graphs
- 12 Sep [Study]Chapter 1 & 2, 지능적 에이전트
- 12 Sep [Study]Chapter 1. Introduction to ML for Graphs
- 10 Aug [Paper]Self-Supervisd Learning
- 20 Jul [Paper]Transformer(2)
- 05 Jul [Paper]Transformer(1)
- 04 Jul [Paper]AutoEncoder
- 26 Jun [Paper]RBM(Restricted Boltzmann Machine)
- 17 Jun [Paper]LSTM(순환신경망)
- 17 Jun [Paper]NLP란?
- 15 Jun [Paper]RNN
- 15 Jun [BOOK]딥워크
- 10 Jun [Paper]LeNet5(CNN)
- 16 May [DevOps]Hadoop vs Spark
- 17 Mar [ETC]서평에 관해서
- 13 Mar [BOOK]여행의 이유
- 11 Mar [Paper]GAN
- 26 Feb [CS]Marp
- 16 Feb [CS]Mermaid
- 06 Feb [CS]LaTex
- 02 Feb [DevOps]Docker
- 01 Feb [DevOps]Linux
- 23 Jan [BOOK]데이터 과학자와 데이터 엔지니어를 위한 인터뷰 문답
- 14 Jan [BLOG]블로그 테마 변경
- 03 Jan [BOOK]IT개발자의 거의 모든 것
- 30 Dec [BOOK]GRIT
- 21 Dec [BOOK]정리하는 뇌
- 13 Nov [BOOK]밸런스 독서법
- 11 Nov [CS]PEP8이란?
- 09 Nov [BOOK]Naked Statistics
- 21 Oct [BOOK]미래를 바꾼 아홉가지 알고리즘
- 06 Oct [BOOK]객체지향의 사실과 오해, 객체지향 사고 프로세스
- 13 Sep [CS]Markdown
- 05 Sep [Essay]Portfolio에 관해서
- 04 Sep [Essay]Blog에 관해서
- 22 Aug [DevOps]Git이란?
- 06 Aug [ETC]Data Science
- 04 May [ETC]단계별 문제 풀기, 백준 플래티넘 달성!
- 04 Oct [ETC]백준 골드 달성!