- Humans display interindividual differences in the latent mechanisms ...🔍
- Exemplar and Prototype Models Revisited🔍
- Generalization Patterns of Transformers in In|Weights Learning and ...🔍
- Rules and Exemplars in Category Learning🔍
- Learning and generalization of within|category representations in a ...🔍
- Finding formulas🔍
- One|shot generalization in humans revealed through a drawing task🔍
- Generalization and Abstraction🔍
Distinguishing rule| and exemplar|based generalization in learning ...
Humans display interindividual differences in the latent mechanisms ...
Generalization can be regarded as a cognitive process whereby previous learning is transferred to newly encountered stimuli based on their ...
Exemplar and Prototype Models Revisited - Williams Sites
However, a major distinction be- tween the exemplar-generalization model and the mixed-prototype model rests on these models' predictions of generalization to ...
Generalization Patterns of Transformers in In-Weights Learning and ...
... rule-based and exemplar-based generalization ... learning, highlighting the distinction between rule-based and exemplar-based generalization.
Rules and Exemplars in Category Learning - John K. Kruschke
Thus, extrapola- tive generalization is an important tool for distinguishing be- tween rule- and exemplar-based genemliz~on. A similar point was made by DeLosh, ...
Learning and generalization of within-category representations in a ...
Learning and generalization of within-category representations in a rule-based category structure. https://doi.org/10.3758/s13414-020-02024-z ·. Journal ...
Finding formulas: Does active search facilitate appropriate ...
One criterion of adaptive learning is appropriate generalization to new instances based on the original learning context and avoiding ...
One-shot generalization in humans revealed through a drawing task
Humans have the amazing ability to learn new visual concepts from just a single exemplar. How we achieve this remains mysterious.
Generalization and Abstraction: Human Memory as a Magic Library
Only toward the end of learning does the model, again quite abruptly, differentiate finer-grained distinctions (e.g., between salmon and sunfish) ...
Effects of concurrent load on feature- and rule-based generalization ...
... study of cognition. For example, theorists seek to distinguish between propositional and associative learning (McLaren, Green, & Mackintosh, 1994; Mitchell ...
Contrastive Learning: A Comprehensive Guide | by Juan C Olamendy
Have you ever wondered how machines learn to distinguish between a cat and a dog, or how they understand whether or not two sentences are ...
Attention, Similarity, and the Identification-Categorization Relationship
Evaluation of exemplar-based generalization and the abstraction of categorical in- formation. Journal of Experimental Psychology." Learning, Memo~ and Cognition ...
Comparing Object-Based and Pixel-Based Machine Learning ...
Generalization refers to the ability of a trained model to perform accurately on unseen or new data and is a crucial aspect of ML because the ultimate goal is ...
Imitative Generalisation (AKA 'Learning the Prior')
What we're going to call 'Imitative Generalization' is a possible way to narrow the gap between the things our model knows, and the questions we ...
Intercategory Generalization Based on Analogy and Specific Stimulu
apart from learning of the correct generalization. We also tested ... exemplar learning and rule learning. The glo with such an interaction, with ...
What underlies rapid learning and systematic generalization in ...
Humans can sometimes learn a procedure from one or a small number of examples and then apply what they have learned to a much larger range of examples.
Machine Learning Glossary - Google for Developers
A model that infers a prediction based on its own previous predictions. For example, auto-regressive language models predict the next token ...
B-11: Define and provide examples of discrimination, generalization ...
The client demonstrated discrimination based on clothing type. Example in supervision/consultation context: A BCBA candidate is learning to discriminate between ...
Feature- versus rule-based generalization in rats, pigeons and ...
... learn rules) can account for the behavior in those tasks. Using a procedure that allows us to clearly distinguish feature-based from rule-based generalization ...
Assessing the Generalization of Machine Learning-Based Slope ...
Also, only a random subset of the available predictor variables is available for selecting a splitting rule at each node. The goal of ...
Recency Effects as a Window to Generalization
phenomenon, they do not rule out an explanation based on nega- tive generalization ... ALCOVE: An exemplar-based connectionist model of category learning.