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Academic Discipline

AI & Machine Learning

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

10courses·88standalone talks·215total lectures

Subfields

All AI & ML215 Deep Learning81 Language Models & NLP73 Reinforcement Learning36 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 Models19 Activation Functions2 Autoencoders2 Representation Learning2 Transfer Learning2

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Generative Control, Action Chunking, and Moravec’s Paradox

Generative Control, Action Chunking, and Moravec’s Paradox

AI & ML·Research Seminar·Control & Dynamical Systems · Max Simchowitz · Carnegie Mellon University

Carnegie Mellon University

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56:33

More categories

Systems & CS (447)Mathematics (434)Physics & Cosmology (414)History & Humanities (377)Philosophy & Ethics (265)Biology & Neuroscience (281)Economics & Finance (336)Algorithms & Theory (340)Engineering & Robotics (213)

Control & Dynamical Systems · Deep Learning

1