AI
인공지능을 공부하며 배운 것들을 적습니다.
2022
- Perceiver IO: A General Architecture for Structured Inputs & Outputs(2021)
- AI 논문 리스트
- A Metric Learning Reality Check(2020)
- ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning(2021)
- Data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language(2022)
- Perceiver: General Perception with Iterative Attention(2021)
- Sharpness-Aware Minimization for Efficiently Improving Generalization(2020)
- Deep Double Descent: Where Bigger Models and More Data Hurt(2019)
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale(2020)
- SQuAD: 100,000+ Questions for Machine Comprehension of Text(2016)
- Attention Is All You Need(2017)
- Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks(2019)
- CS231n 수강 후기
- Deep Metric Learning Using Triplet Network(2014)
- How to Represent Part-Whole Hierarchies In a Neural Network(2021)
