SMOTE: Synthetic Minority Over-sampling Technique
Paper • 1106.1813 • Published • 1
Papers
Machine Learning and Neural Network papers 📜
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Scikit-learn: Machine Learning in Python
Paper • 1201.0490 • Published • 1 -
XGBoost: A Scalable Tree Boosting System
Paper • 1603.02754 • Published • 2 -
AR-Net: A simple Auto-Regressive Neural Network for time-series
Paper • 1911.12436 • Published • 1 -
Mish: A Self Regularized Non-Monotonic Activation Function
Paper • 1908.08681 • Published • 1 -
NeuralProphet: Explainable Forecasting at Scale
Paper • 2111.15397 • Published • 1 -
Searching for Activation Functions
Paper • 1710.05941 • Published • 1 -
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Paper • 1912.01703 • Published • 1 -
TensorFlow: A system for large-scale machine learning
Paper • 1605.08695 • Published • 1 -
Theano: A Python framework for fast computation of mathematical expressions
Paper • 1605.02688 • Published • 2 -
Caffe: Convolutional Architecture for Fast Feature Embedding
Paper • 1408.5093 • Published • 1 -
Annotated History of Modern AI and Deep Learning
Paper • 2212.11279 • Published • 3 -
KAN: Kolmogorov-Arnold Networks
Paper • 2404.19756 • Published • 116 -
Adam: A Method for Stochastic Optimization
Paper • 1412.6980 • Published • 5 -
Decoupled Weight Decay Regularization
Paper • 1711.05101 • Published • 4 -
Improving neural networks by preventing co-adaptation of feature detectors
Paper • 1207.0580 • Published • 1