Representation Learning / Self-Supervised Learning
1.Similarity Learning & Contrastive Learning
Similarity Leanring & Contrastive Learning(1)
2022년 2월 14일
2.DALL-E 2 & Representations
DALL-E 2 & Representation
2022년 4월 10일
3.Some papers about representation
Some notes on representations..
2022년 4월 10일
4.[간단정리]MixCo: Mix-up Contrastive Learning for Visual Representation(Arxiv 2020)
Some notes on MixCo
2022년 5월 10일
5.[간단정리]Revisiting Model Stitching to Compare Neural Representations(NIPS 2021)
Some notes on model stitching
2022년 5월 10일
6.[간단정리] Hierarchical Text-Conditional Image Generation with CLIP Latents(DALL-E2)
Some notes on DALL-E2
2022년 5월 10일
7.Self-supervised learning in Computer Vision
Self-supervised Learning?
2021년 11월 23일
8.Self-supervised Learning in Generative Model
Generative Model 기반 Self-supervised Learning에 대해
2021년 11월 23일
9.[간단정리]Adversarial Self-Supervised Contrastive Learning(NIPS 2020)
Some notes on Adversarial, Self-Supervised, and Contrastive Learning
2022년 5월 10일
10.[논문리뷰]AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE : Vi-T(Vision Transformer)
Paper review for Vision Transformer
2021년 11월 8일
12.Introduction to Few-Shot Learning & Meta Learning
Introduction to Few-Shot Learning & Meta Learning
2021년 12월 1일
13.[간단정리]BOIL: TOWARDS REPRESENTATION CHANGE FOR FEW-SHOT LEARNING(ICLR 2021)
Some notes on BOIL algorithm
2022년 5월 10일
14.[간단정리]Towards Sample-efficient Overparameterized Meta-learning(NIPS 2021)
Some notes on overparameterization on meta learning
2022년 5월 10일