A layered network model of associative learning: learning to learn and configuration.
By E. James Kehoe. 1988
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Sergey Levine
- Yoshua Bengio
- Pieter Abbeel
- Chelsea Finn
- Ruslan Salakhutdinov
- Quoc V. Le
- Trevor Darrell
- Dacheng Tao
Citations in the corpus
- Learning to Learn for Global Optimization of Black Box Functions (2016, background): “In psychology, learning to learn has a long history full of insights on cognition [Ward, 1937, Harlow, 1949, Kehoe, 1988].”
- Learned Optimizers that Scale and Generalize (2017, background): “At a high level, a hierarchical RNN is constructed to act as a learned optimizer, with its architecture matched to the parameters in the target problem.”
- Context and behavioral processes in extinction. (2004, background): “US pairings than did simple extinction, it is difficult to reconcile with the view that rapid reacquisition is a simple function of the strength of an association that remains after extinction (see Kehoe 1988; Kehoe and Macrae 1997).”
- Learning to Learn without Gradient Descent by Gradient Descent (2016, background): “In psychology, learning to learn has a long history (Ward, 1937; Harlow, 1949; Kehoe, 1988).”
- A componential view of configural cues in generalization and discrimination in Pavlovian conditioning. (2000, background): “This has sometimes been called the ‘unique stimulus hypothesis’ [6].”
- Occasional reinforced trials during extinction can slow the rate of rapid reacquisition (2004, methodology): “One idea is that the savings of some part of the original (hypothetical) association between the CS and US simply gives the extinguished CS a head start when it is paired with the US again (e.g., Kehoe, 1988).”
- Time-Derivative Models of Pavlovian Reinforcement (1990, background): “Among the major classes of phenomena not directly addressed by the model are attention, salience, configuration, and learning to learn (e.g., see models by Mackintosh 1975; Pearce and Hall 1980; Kehoe 1988; Gelperin, Hopfield and Tank; Schlimmer and Granger 1986; Grossberg and Levine 1987).”