IQ

[ScienceAdvances24] Human-level few-shot concept induction through minimax entropy learning
Humans learn concepts both from labeled supervision and by unsupervised observation of patterns, a process machines are being taught to …
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[ScienceAdvances24] Human-level few-shot concept induction through minimax entropy learning
Abstract Reasoning
[Learning meets Cognition] Topics include analogy, causality, IQ, number sense, physics, and tool-use.
Aug 1, 2022
Abstract Reasoning
[ECCV22] Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
Is intelligence realized by connectionist or classicist? While connectionist approaches have achieved superhuman performance, there has …
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[ECCV22] Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
[CVPR21] Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
Spatial-temporal reasoning is a challenging task in Artificial Intelligence (AI) due to its demanding but unique nature: a theoretic …
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[CVPR21] Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
[AAAI20] Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning
As a comprehensive indicator of mathematical thinking and intelligence, the number sense (Dehaene 2011) bridges the induction of …
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[AAAI20] Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning
[NeurIPS19] Learning Perceptual Inference by Contrasting
‘Thinking in pictures,’ [1] i.e., spatial-temporal reasoning, effortless and instantaneous for humans, is believed to be a …
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[NeurIPS19] Learning Perceptual Inference by Contrasting
[CVPR19] RAVEN: A Dataset for Relational and Analogical Visual Reasoning
Dramatic progress has been witnessed in basic vision tasks involving low-level perception, such as object recognition, detection, and …
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[CVPR19] RAVEN: A Dataset for Relational and Analogical Visual Reasoning