Agents acquire lexical labels for visual concepts following a perceptual coherence gradient where perceptual distance predicts learning accuracy independently of semantic distance in a pre-registered CIFAR-100 experiment.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing , pages =
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Lexical Consensus: Grounded Word Learning and Shared Meaning in Artificial Agents
Agents acquire lexical labels for visual concepts following a perceptual coherence gradient where perceptual distance predicts learning accuracy independently of semantic distance in a pre-registered CIFAR-100 experiment.