What is Cognitive Science
By E. Lepore, Zenon W. Pylyshyn. 1999
Subfields: Cognitive Science & Psychology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Science & Psychology
- Chris Dyer
- Javier Lerch
- J. Feldman
- Rafael E. Núñez
- Pengfei Liu
- Cleotilde González
- Bing Qin
- Iyad Rahwan
Citations in the corpus
- Visualisation and 'diagnostic classifiers' reveal how recurrent and recursive neural networks process hierarchical structure (2017, neutral): “We investigate if and how simple recurrent networks (SRNs) [Elman, 1990] and gated recurrent Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18)”
- A Causal Framework for Discovering and Removing Direct and Indirect Discrimination (2016, methodology): “To this end, we employ the technique of the path-specific effect [Avin et al., 2005; Shpitser, 2013].”
- Recurrent Neural Network for Text Classification with Multi-Task Learning (2016, background): “1 Recurrent Neural Network A recurrent neural network (RNN) [Elman, 1990] is able to process a sequence of arbitrary length by recursively applying a transition function to its internal hidden state vector h”
- Tool Learning with Foundation Models (2023, unknown): “Tool use is defined as a unique characteristic of human beings that is distinguished from other species (Von Eckardt, 1995).”
- 50 Years of object recognition: Directions forward (2013, background): “Dickinson and Metaxas [112] present another superquadric based approach to shape recovery, localization and recognition that addresses to a greater extent the components of Fig.1, due to the use of a hierarchical representation of objects.”
- The Role of Typicality in Object Classification: Improving The Generalization Capacity of Convolutional Neural Networks (2016, background): “The mechanisms underlying human category formation are the subject of many competing accounts, including those based on prototypes[Minda and Smith, 2001], exemplars[Nosofsky, 1984], density estimation[Ashby and Alfonso-Reese, 1995], and Bayesian inference[Goodman et al., 2008].”