- Distinguishing rule| and exemplar|based generalization in learning ...🔍
- Distinguishing rule| and exemplar|based generalization in learning...🔍
- [PDF] Distinguishing rule| and exemplar|based generalization in ...🔍
- [2110.04328] Distinguishing rule| and exemplar|based ...🔍
- Distinguishing rule and exemplar|based generalization in learning ...🔍
- Rules and exemplars in category learning🔍
- Exemplar theory🔍
- How do we generalize?🔍
Distinguishing rule| and exemplar|based generalization in learning ...
Distinguishing rule- and exemplar-based generalization in learning ...
Title:Distinguishing rule- and exemplar-based generalization in learning systems ... Abstract:Machine learning systems often do not share the same ...
Distinguishing rule- and exemplar-based generalization in learning ...
Machine learning systems often do not share the same inductive biases as humans and, as a re- sult, extrapolate or generalize in ways that are.
Distinguishing rule- and exemplar-based generalization in learning...
Despite the increasing scale of datasets in machine learning, generalization to unseen regions of the data distribution remains crucial.
Distinguishing rule- and exemplar-based generalization in learning systems ... "Exemplar bias" (vs "rule bias"; EvR): simple or complex decision boundary ...
Distinguishing rule- and exemplar-based generalization in learning ...
Exemplar- vs. rule-based generalization has been studied extensively in cognitive psychology, and, in this work, we present a protocol inspired by these ...
[PDF] Distinguishing rule- and exemplar-based generalization in ...
It is shown that standard neural network models are feature-biased and exemplar-based, and the implications for machine learning research on systematic ...
[2110.04328] Distinguishing rule- and exemplar-based ...
... learning research on systematic generalization, fairness, and data augmentation. cognitive psychology, representation learning. \setabbreviationstyle. [long] ...
Distinguishing rule- and exemplar-based generalization in learning ...
Dive into the research topics of 'Distinguishing rule- and exemplar-based generalization in learning systems'. Together they form a unique fingerprint. Sort by ...
GitHub - eringrant/icml-2022-rules-vs-exemplars
Code for our 2022 ICML paper "Distinguishing rule- and exemplar-based generalization in learning systems." - eringrant/icml-2022-rules-vs-exemplars.
Distinguishing rule and exemplar-based generalization in learning ...
Distinguishing rule and exemplar-based generalization in learning systems. I. Dasgupta, E. Grant, and T. Griffiths. ICML, volume 162 of Proceedings of ...
Rules and exemplars in category learning - PubMed
Psychological theories of categorization generally focus on either rule- or exemplar-based explanations. We present 2 experiments that show evidence of both ...
Exemplar theory is a proposal concerning the way humans categorize objects and ideas in psychology. It argues that individuals make category judgments by ...
How do we generalize? - PMC - PubMed Central
Other studies have A/B structure where subjects first learn to differentiate ... Feature- and rule-based generalization in human associative learning. J Exp ...
Generalization in Category Learning: The Roles of Representational ...
The third rule-based model, the general conjunctive classifier (GCC), tests for a strategy of combining a value on one dimension with a value on ...
Generalization and similarity in exemplar models of categorization
As in psychology, there is a tight relationship between similarity and generalization in machine learning. ... Exemplar-similarity versus rule instantiation.
Effects of category diversity on learning, memory, and generalization
Similarity- versus rule-based categorization. Memory & Cognition, 22, 377-386. Smith, J. D., & Minda, J. P. (2002). Distinguishing prototype-based and ...
Transformers generalize differently from information stored in ...
arXiv:2205.05055 [cs]. Ishita Dasgupta, Erin Grant, and Tom Griffiths. Distinguishing rule and exemplar-based general- ization in learning systems. In ...
Assessing Generalization in Connectionist and Rule-based Models ...
Although it is commonly assumed that rule-based models generalize more effectively than do connectionist models, the comparison is often confounded by ...
Humans are remarkably adept at abstract rule learning, but little is known about when learners apply this knowledge. We investigated a fundamental constraint in ...
Evaluation of exemplar-based generalization and the abstraction of ...
... distinguishing alternative classification models. (7 ref) (PsycINFO Database ... The present study compared the pure exemplar model with a mixed (exemplar ...