AIMC Topic: Generalization, Psychological

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Improving generalization of neural Vehicle Routing Problem solvers through the lens of model architecture.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Neural models produce promising results when solving Vehicle Routing Problems (VRPs), but may often fall short in generalization. Recent attempts to enhance model generalization often incur unnecessarily large training cost or cannot be directly appl...
Generalization, Psychological Neural Networks, Computer Entropy Problem Solving Humans
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Revisiting face forgery detection towards generalization.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Face forgery detection aims to distinguish AI generated fake faces with real faces. With the rapid development of face forgery creation algorithms, a large number of generative models have been proposed, which gradually reduce the local distortion ph...
Humans Neural Networks, Computer Face Generalization, Psychological Algorithms Artificial Intelligence
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Invariance, Encodings, and Generalization: Learning Identity Effects With Neural Networks.

Neural computation Jul 14, 2022
Often in language and other areas of cognition, whether two components of an object are identical or not determines if it is well formed. We call such constraints identity effects. When developing a system to learn well-formedness from examples, it i...
Neural Networks, Computer Language Generalization, Psychological Algorithms
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Convolutional neural network with Huffman pooling for handling data with insufficient categories: A novel method for anomaly detection and fault diagnosis.

Science progress Jan 1, 2022
The rotating component is an important part of the modern mechanical equipment, and its health status has a great impact on whether the equipment can safely operate. In recent years, convolutional neural network has been widely used to identify the h...
Generalization, Psychological Neural Networks, Computer
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Structured Event Memory: A neuro-symbolic model of event cognition.

Psychological review Apr 1, 2020
Humans spontaneously organize a continuous experience into discrete events and use the learned structure of these events to generalize and organize memory. We introduce the (SEM) model of event cognition, which accounts for human abilities in event ...
Generalization, Psychological Models, Psychological Cognition Memory Probability Humans Neural Networks, Computer
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Engineering a Less Artificial Intelligence.

Neuron Sep 25, 2019
Despite enormous progress in machine learning, artificial neural networks still lag behind brains in their ability to generalize to new situations. Given identical training data, differences in generalization are caused by many defining features of a...
Neural Networks, Computer Neurosciences Humans Deep Learning Machine Learning Artificial Intelligence Brain Bias Algorithms Generalization, Psychological
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A review of computational models of basic rule learning: The neural-symbolic debate and beyond.

Psychonomic bulletin & review Aug 1, 2019
We present a critical review of computational models of generalization of simple grammar-like rules, such as ABA and ABB. In particular, we focus on models attempting to account for the empirical results of Marcus et al. (Science, 283(5398), 77-80 19...
Language Development Humans Symbolism Neural Networks, Computer Generalization, Psychological Models, Psychological Learning Computer Simulation Infant
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Human-level concept learning through probabilistic program induction.

Science (New York, N.Y.) Dec 11, 2015
People learning new concepts can often generalize successfully from just a single example, yet machine learning algorithms typically require tens or hundreds of examples to perform with similar accuracy. People can also use learned concepts in richer...
Generalization, Psychological Computer Simulation Machine Learning Concept Formation Humans Bayes Theorem Algorithms
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