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generative modeling
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Classroom Contents
MIT EI Seminar - Phillip Isola - Emergent Intelligence- Getting More Out of Agents Than You Bake In
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- 1 Introduction
- 2 Recipe for intelligence
- 3 Representation learning
- 4 Colorization
- 5 Neural representation
- 6 Selfsupervised objectives
- 7 The Cave
- 8 Multiview representation
- 9 Contrastive multiview representation
- 10 Data augmentation
- 11 Semantics
- 12 Morris Different
- 13 generative modeling
- 14 dream of a model
- 15 continuum
- 16 latent variable models
- 17 camera transformations
- 18 latent space vector
- 19 word Tyvek
- 20 Vectors
- 21 Circles
- 22 Transformations
- 23 Bias
- 24 Biases
- 25 Multiagent interactions
- 26 Emergent arms race
- 27 Evolution in nature
- 28 Spiral of evolution
- 29 Emergence of multicellular life
- 30 Primitive agents
- 31 Selfassembly morphologies
- 32 Long creatures
- 33 Training
- 34 Modularity
- 35 Slime Mold Creatures
- 36 Obstacles
- 37 Multiagent
- 38 Selfassembling
