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12/19/2022
Emergent Analogical Reasoning in Large Language Models
The recent advent of large language models - large neural networks train...
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09/29/2022
Zero-shot visual reasoning through probabilistic analogical mapping
Human reasoning is grounded in an ability to identify highly abstract co...
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09/03/2021
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models
We propose CX-ToM, short for counterfactual explanations with theory-of ...
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05/14/2021
Visual analogy: Deep learning versus compositional models
Is analogical reasoning a task that must be learned to solve from scratc...
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03/30/2021
Probabilistic Analogical Mapping with Semantic Relation Networks
The human ability to flexibly reason with cross-domain analogies depends...
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03/06/2021
Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration
Aligning humans' assessment of what a robot can do with its true capabil...
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11/29/2019
Learning Perceptual Inference by Contrasting
"Thinking in pictures," [1] i.e., spatial-temporal reasoning, effortless...
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11/25/2019
Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning
Learning transferable knowledge across similar but different settings is...
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09/15/2019