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06/21/2023
Investigating Pre-trained Language Models on Cross-Domain Datasets, a Step Closer to General AI
Pre-trained language models have recently emerged as a powerful tool for...
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06/21/2023
Opening the Black Box: Analyzing Attention Weights and Hidden States in Pre-trained Language Models for Non-language Tasks
Investigating deep learning language models has always been a significan...
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11/16/2021
Grounding Psychological Shape Space in Convolutional Neural Networks
Shape information is crucial for human perception and cognition, and sho...
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02/03/2021
Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised
Most artificial neural networks used for object detection and recognitio...
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08/25/2019
Generalizing Psychological Similarity Spaces to Unseen Stimuli
The cognitive framework of conceptual spaces proposes to represent conce...
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04/06/2018
Formal Ways for Measuring Relations between Concepts in Conceptual Spaces
The highly influential framework of conceptual spaces provides a geometr...
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01/11/2018
Formalized Conceptual Spaces with a Geometric Representation of Correlations
The highly influential framework of conceptual spaces provides a geometr...
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07/14/2017
A Comprehensive Implementation of Conceptual Spaces
The highly influential framework of conceptual spaces provides a geometr...
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07/07/2017
Measuring Relations Between Concepts In Conceptual Spaces
The highly influential framework of conceptual spaces provides a geometr...
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06/20/2017
A Thorough Formalization of Conceptual Spaces
The highly influential framework of conceptual spaces provides a geometr...
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06/15/2017
