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Machine learning

Notes

Neural network training

Algorithmic bias

Reinforcement learning

Continual learning

t-SNE

Adversarial examples

Pytorch

AI and climate change

Few-shot learning

Computer vision

Neural networks

Reservoir computing

Rademacher complexity

Bias-variance tradeoff

NLP

Notes on: One model for the learning of language by Yang, Y., & Piantadosi, S. T. (2022)

Supervised learning

Catastrophic forgetting

Learning in dynamical systems

Meta-learning

Generative modelling

Distillation

Transfer learning

Alternative learning mechanisms

Generalization in Machine learning

The Bitter Lesson

Self-supervised learning

Recurrent neural networks

Privacy-preserving machine learning

Unsupervised learning

Federated learning

Gaussian Processes

Talk: Differentiation of black-box combinatorial solvers

Data representation

Kernel Methods