논문으로 읽는 인공지능의 역사
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시각·생성

네오코그니트론과 LeNet에서 ImageNet, ResNet, 생성 모델(GAN·VAE·확산)까지.

시각·생성 1980 1985 1990 1995 2000 2005 2010 2015 2020
실선은 인용이 확인된 선(OpenAlex 또는 인용한 논문의 참고문헌 목록), 점선은 교과서가 말하는 영향이지만 인용이 확인되지 않은 선. 세로 위치는 주제 묶음.
연도첫 저자제목장
1980FukushimaNeocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position3장 지식 시스템과 연결주의 1974–93
1982MarrVision: A Computational Investigation into the Human Representation and Processing of Visual Information3장 지식 시스템과 연결주의 1974–93
1989LeCun et al.Backpropagation Applied to Handwritten Zip Code Recognition3장 지식 시스템과 연결주의 1974–93
1998LeCun et al.Gradient-based learning applied to document recognition4장 통계 학습 1990–2011
2009Deng et al.ImageNet: A large-scale hierarchical image database4장 통계 학습 1990–2011
2010Ciresan et al.Deep, Big, Simple Neural Nets for Handwritten Digit Recognition4장 통계 학습 1990–2011
2012Ciresan et al.Multi-column deep neural networks for image classification5장 딥러닝 2012–17
2012Krizhevsky et al.ImageNet Classification with Deep Convolutional Neural Networks5장 딥러닝 2012–17
2013GravesGenerating Sequences With Recurrent Neural Networks5장 딥러닝 2012–17
2013Girshick et al.Rich feature hierarchies for accurate object detection and semantic segmentation5장 딥러닝 2012–17
2013Kingma & WellingAuto-Encoding Variational Bayes5장 딥러닝 2012–17
2014Goodfellow et al.Generative Adversarial Nets5장 딥러닝 2012–17
2014Simonyan & ZissermanVery Deep Convolutional Networks for Large-Scale Image Recognition5장 딥러닝 2012–17
2014Szegedy et al.Going Deeper with Convolutions5장 딥러닝 2012–17
2015Sohl-Dickstein et al.Deep Unsupervised Learning using Nonequilibrium Thermodynamics5장 딥러닝 2012–17
2015Radford et al.Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks5장 딥러닝 2012–17
2015He et al.Deep Residual Learning for Image Recognition5장 딥러닝 2012–17
2016van den Oord et al.WaveNet: A Generative Model for Raw Audio5장 딥러닝 2012–17
2020Dosovitskiy et al.An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale6장 사전학습·생성 2017–22
2021Radford et al.Learning Transferable Visual Models From Natural Language Supervision6장 사전학습·생성 2017–22