6월 둘째주 연구록

• 작성자 : 김응엽 연구원
• 작성 일시 : 2023년 06월 05일 

진짜 최악의 6월을 보내는 중..

그래도 할건 늘 해야한다..

이번주에는 미친새끼처럼 논문읽기를 할 생각이다. 

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1. Multimodal + Contrastive Learning : 논문 읽기

하루에 2편씩 읽을 예정이다. 

• Debiased Contrastive Learning : 2023년 현재 읽는중
• Robust Contrastive Learning againt Noisy Views
• Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization 
• Unified Contrastive Learning in Image-Text-Label Space 
• Unpaired Deep Image Deraining Using Dual Contrastive Learning 
• Selective-Supervised Contrastive Learning with Noisy Labels 
• MVLM : Masked Vision and Language Modeling For Multi-modal Representation Learning : 중요
• SimVLM : Simple Visual Language Model Pre-training with Weak Supervision
• SimMIM : a Simple Framework for Masked Image Modeling
• MoCo v3 : An Empirical Study of Training Self-Supervised Vision Transformers

2. Coursework

• 고급자연어처리 : 6/16일
• 데이터시각화 : 6/12일
• 일괄 6/6일 현충일에 진행하기!! 
• 인공지능인문학 : 6/13일부터 기말고사 시작임. 

3. NLP + Contrastive Learning 

• Debiased Contrastive Learning of Unsupervised Sentence Representations
• Contrastive Explanations for Model Interpretability

4. 논문 읽는 순서!!

1. Debiased Contrastive Learning
   • Debiased Contrastive Learning of Unsupervised Sentence Representations
   • Contrastive Explanations for Model Interpretability
   • Unified Contrastive Learning in Image-Text-Label Space
   • Unpaired Deep Image Deraining Using Dual Contrastive Learning 
   • Unified Contrastive Learning in Image-Text-Label Space
2. Robust Contrastive Learning against Noisy Views
   • Selective-Supervised Contrastive Learning with Noisy Labels
3. SimMIM : a Simple Framework for Masked Image Modeling
   • SimVLM : Simple Visual Language Model Pre-training with Weak Supervision
   • MVLM : Masked Vision and Language Modeling For Multi-modal Representation Learning
4. Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization