Transformers & Modern Deep Learning

연도저자제목SourceWiki
2013Kingma, WellingAuto-Encoding Variational Bayes (VAE)srcwiki
2017Vaswani et al.Attention Is All You Needsrcwiki
2018Radford et al.Improving Language Understanding by Generative Pre-Training (GPT-1)srcwiki
2019Devlin et al.BERT: Pre-training of Deep Bidirectional Transformerssrcwiki
2020Dosovitskiy et al.An Image is Worth 16x16 Words (ViT)srcwiki
2020Ho, Jain, AbbeelDenoising Diffusion Probabilistic Models (DDPM)srcwiki
2020Kaplan et al.Scaling Laws for Neural Language Modelssrcwiki
2020Lewis et al.Retrieval-Augmented Generation (RAG)srcwiki
2020Brown et al.Language Models are Few-Shot Learners (GPT-3)srcwiki
2021Hu et al.LoRA: Low-Rank Adaptation of Large Language Modelssrcwiki
2022Wei et al.Chain-of-Thought Prompting Elicits Reasoningsrcwiki
2023Han et al.Parameter-Efficient Fine-Tuning for Large Models (Survey)srcwiki
2024Edge et al.From Local to Global: GraphRAGsrcwiki

16 items under this folder.