Predictability and Surprise in Large Generative Models.
Deep GanguliDanny HernandezLiane LovittNova DasSarmaTom HenighanAndy JonesNicholas JosephJackson KernionBenjamin MannAmanda AskellYuntao BaiAnna ChenTom ConerlyDawn DrainNelson ElhageSheer El ShowkStanislav FortZac Hatfield-DoddsScott JohnstonShauna KravecNeel NandaKamal NdousseCatherine OlssonDaniela AmodeiDario AmodeiTom B. BrownJared KaplanSam McCandlishChris OlahJack ClarkPublished in: CoRR (2022)
Keyphrases
- generative model
- probabilistic model
- discriminative models
- discriminative learning
- mixture model
- prior knowledge
- topic models
- generative and discriminative models
- em algorithm
- semi supervised
- conditional random fields
- maximum entropy principle
- boltzmann machine
- data sets
- object categories
- representational power
- image processing
- expectation maximization
- object detection
- object parts