Basic Articles
1.
Reducing the dimensionality of data with neural networks (RBM, Restart of deep learning)
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5.
Auto-Encoding Variational Bayes (VAE, Generative model 1)
6.
Deep residual learning for image recognition (Going deeper, ResNet)
7.
Generative adversarial networks (GAN, Generative model 2)
8.
What uncertainties do we need in Bayesian deep learning for computer vision? (Uncertainty in deep learning)
9.
Time-series forecasting with deep learning: a survey (Time series forecasting with deep learning)
10.
Variational autoencoder based anomaly detection using reconstruction probability (Anomaly detection with VAE)
12.
Attention is all you need (Transformer, the origin of GPT)
14.
An image is worth 16x16 words: Transformers for image recognition at scale (ViT, Transformer in CV)
a.
Mlp-mixer: An all-mlp architecture for vision (MLP-mixer, MLP still works well)
Advanced topics
Anomaly detection / 이상탐지
1.
Unsupervised anomaly detection with generative adversarial networks to guide marker discovery (AnoGAN, First anomaly detection with GAN)
2.
GANomaly: Semi-supervised Anomaly Detection via Adversarial Training (GANomaly, Anomaly detection)
3.
A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data (MSCRED, Time series anomaly detection)
4.
Deep learning for anomaly detection: A review (Deep anomaly detection reviews)
5.
What’s next?
Reinforcement learning / 강화학습
2.
Playing atari with deep reinforcement learning (DQN, Reinforcement Learning)
3.
Mastering the game of go without human knowledge (AlphaGo, Reinforcement Learning)
Language Models / 언어모델
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2.
Chain-of-thought prompting elicits reasoning in large language models (Chain of thought)
ML models / 머신러닝 모델
1.
Xgboost: A scalable tree boosting system (XGboost, Boosting)