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Adaptive generalisation

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9780470753507.ch21openalex-snapshot
Connectionism and the Study of Change
inferredcites →https://doi.org/10.1016/s0079-7421(08)60536-8openalex-snapshot
Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
inferredcites →https://doi.org/10.1037/11059-000openalex-snapshot
The Principles of Psychology
inferredcites →https://doi.org/10.1037/11494-000openalex-snapshot
The origins of intelligence in children.
inferredcites →https://doi.org/10.1037/h0056366openalex-snapshot
Retroactive inhibition as a function of degree of generalization between tasks.
inferredcites →https://doi.org/10.1037/h0057488openalex-snapshot
The similarity paradox in human learning: a resolution.
inferredcites →https://doi.org/10.1037/h0058198openalex-snapshot
Interference with recall of original responses after learning new responses to old stimuli.
inferredcites →https://doi.org/10.1037/h0074898openalex-snapshot
The influence of improvement in one mental function upon the efficiency of other functions. (I).
inferredcites →https://doi.org/10.1142/9789814537797openalex-snapshot
Application of the Genetic Algorithm to a Simplified Form of the Phase Problem
inferredcites →https://doi.org/10.5214/ans.0972.7531.200408openalex-snapshot
Memory: A Contribution to Experimental Psychology

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/3-540-44597-8_36openalex-snapshot
The Role of Memory, Anxiety, and Hebbian Learning in Hippocampal Function: Novel Explorations in Computational Neuroscience and Robotics
inferred← citeshttps://doi.org/10.1007/3-540-60925-3_35openalex-snapshot
Separating learning and representation
inferred← citeshttps://doi.org/10.1007/978-1-4471-0845-0_14openalex-snapshot
Neural networks for automatic speech recognition: a review
inferred← citeshttps://doi.org/10.1007/978-1-4471-3054-3_25openalex-snapshot
Neural Nets and Diversity
inferred← citeshttps://doi.org/10.1007/978-1-4471-3579-1_5openalex-snapshot
Learning, Relearning and Recall for Two Strengths of Learning in Neural Networks ‘Aged’ by Simulated Dendritic Attrition
inferred← citeshttps://doi.org/10.1007/978-1-4615-5529-2_11openalex-snapshot
Child: A First Step Towards Continual Learning
inferred← citeshttps://doi.org/10.1007/978-1-4615-5529-2_2openalex-snapshot
A Survey of Connectionist Network Reuse Through Transfer
inferred← citeshttps://doi.org/10.1007/978-3-030-05318-5_2openalex-snapshot
Meta-Learning
inferred← citeshttps://doi.org/10.1007/bf01414174openalex-snapshot
Strategies for improving neural net generalisation
inferred← citeshttps://doi.org/10.1016/j.neunet.2023.01.007openalex-snapshot
A domain-agnostic approach for characterization of lifelong learning systems
inferred← citeshttps://doi.org/10.1016/s1389-0417(01)00058-4openalex-snapshot
Theory and scope of exact representation extraction from feed-forward networks
inferred← citeshttps://doi.org/10.1023/a:1007331723572openalex-snapshot
CHILD: A First Step Towards Continual Learning
inferred← citeshttps://doi.org/10.1080/09540099550039264openalex-snapshot
Backpropagation Discrimination Geometric Analysis Interference Memory Modelling Neural Nets
inferred← citeshttps://doi.org/10.1109/ijcnn.2018.8489678openalex-snapshot
Multi-source Subnetwork-level Transfer in CNNs Using Filter-Trees
inferred← citeshttps://doi.org/10.1111/j.1468-0017.1994.tb00227.xopenalex-snapshot
On Being Systematically Connectionist
inferred← citeshttps://doi.org/10.1523/jneurosci.1492-25.2025openalex-snapshot
Entorhinal Cortex Signals Dimensions of Past Experience That Can Be Generalized in a Novel Environment
inferred← citeshttps://doi.org/10.2139/ssrn.5341247openalex-snapshot
Theory-Driven Deep Learning: Methods and Insights for Training Neural Networks
inferred← citeshttps://doi.org/10.3389/frvir.2021.657761openalex-snapshot
Immersive Education for Chronic Condition Self-Management
inferred← citeshttps://doi.org/10.48550/arxiv.1711.09648openalex-snapshot
Transfer Learning in CNNs Using Filter-Trees
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