Academic Discipline

AI & Machine Learning

Deep learning, language models, reinforcement learning, statistical learning theory, representation learning, and vision.

10courses86standalone talks213total lectures

Subfields

All AI & ML213 Deep Learning80 Language Models & NLP73 Reinforcement Learning35 Statistical Learning & Causality35 Computer Vision & Graphics28 Mechanistic Interpretability, Alignment & World Models27 Active Inference, Cybernetics & Artificial Life2

Deep Learning— Neural network architectures, backpropagation, automatic differentiation, diffusion and generative models.

7 topics

All Deep Learning Neural Networks & Backpropagation54 AI Safety, Fairness & Alignment20 Generative & Diffusion Models18 Activation Functions2 Autoencoders2 Representation Learning2 Transfer Learning2

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Learning Representations: A Challenge for Learning Theory, COLT 2013

Learning Representations: A Challenge for Learning Theory, COLT 2013

AI & ML·Conference Talk·Statistical Learning & Causality · Yann LeCun · New York University

New York University

54:33

Neural Networks I: Feedforward Architectures & Backpropagation

Neural Networks I: Feedforward Architectures & Backpropagation

AI & ML·Standalone Lecture·Statistical Learning & Causality · Chris Ré · Stanford University

Stanford University

1:20:28

Building makemore Part 2: Multi-Layer Perceptron Language Models (Bengio et al. 2003)

Building makemore Part 2: Multi-Layer Perceptron Language Models (Bengio et al. 2003)

Neural Networks: Zero to Hero · Lec 3·Statistical Learning & Causality · Andrej Karpathy · Independent / Eureka Labs

Andrej Karpathy

Independent / Eureka Labs

1:15:39

Loss Functions and Optimization

Loss Functions and Optimization

Convolutional Neural Networks for Visual Recognition · Lec 3·Deep Learning · Fei-Fei Li, Justin Johnson & Serena Yeung · Stanford University

Fei-Fei Li&Justin Johnson

Stanford University

1:14:40

Generalization Theory

Generalization Theory

6.7960 · Deep Learning · Lec 6·Deep Learning · Phillip Isola · MIT

1:20:31

Physical Insights from Discriminative and Generative Models for Frictional Surface Design

Physical Insights from Discriminative and Generative Models for Frictional Surface Design

Exploring System Dynamics in the Natural World with AI · Lec 7·Statistical Learning & Causality · Anders Malthe-Sørenssen · UT Austin

Anders Malthe-Sørenssen

40:32

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