Basic Articles
1.
Learning representations by back-propagating errors (Backpropagation)
2.
Reducing the dimensionality of data with neural networks (RBM, Restart of deep learning)
3.
5.
Deep residual learning for image recognition (Going deeper, ResNet)
6.
Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network (LSTM Time series forecasting)
7.
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling (Temporal Convolution Networks)
9.
Attention is all you need (Transformer, the origin of GPT)
10.
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting (Transformer for Long Sequence Data)
11.
Auto-Encoding Variational Bayes (VAE, Generative model 1)
12.
Generative adversarial networks (GAN, Generative model 2)
13.
What uncertainties do we need in Bayesian deep learning for computer vision? (Uncertainty in deep learning)
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
1.
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)