Introduction to real-time ray tracing

By Philipp Slusallek, Peter Shirley, William R. Mark, Gordon Stoll, I. Wald. 2005

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Neural Turing Machines (2014, background): “The Parallel Distributed Processing (PDP) or connectionist revolution cast aside the symbol-processing metaphor in favour of a so-called “sub-symbolic” description of thought processes (Rumelhart et al., 1986).”
Analysis Methods in Neural Language Processing: A Survey (2018, background): “Rumelhart and McClelland (1986) built a feed-forward neural network for learning the English past tense and analyzed its performance on a variety of examples and conditions.”
Generative Continual Concept Learning (2019, methodology): “We rely on Parallel Distributed Processing (PDP) paradigm [4] for this purpose.”
Domain Generalization for Object Recognition with Multi-task Autoencoders (2015, methodology): “Autoencoders were introduced to address the problem of ‘backpropagation without a teacher’ by using inputs as labels – and learning to reconstruct them with minimal distortion [28, 5].”
Deep Learning for Health Informatics (2017, background): “To solve more complex problems, NNs with one or more hidden layers of Perceptrons have been introduced [20].”
Unsupervised learning of digit recognition using spike-timing-dependent plasticity (2015, background): “Intuitively, the function of the network is similar to competitive learning procedures (McClelland et al., 1986) like self-organizing maps (Kohonen, 1990) or neural-gas (Fritzke, 1995), which share aspects with k-means.”