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Are Convolutional Neural Networks or Transformers more like human vision?

, , , и . CogSci, cognitivesciencesociety.org, (2021)

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Erin McKay

Muhterem Erinola

Dobri Petrov Erinski

Erin Littbarski

Erin LeDell

 

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Gaussian Process Surrogate Models for Neural Networks., , и . UAI, том 216 из Proceedings of Machine Learning Research, стр. 1241-1252. PMLR, (2023)Gaussian process surrogate models for neural networks., , и . CoRR, (2022)The Transient Nature of Emergent In-Context Learning in Transformers., , , , , и . CoRR, (2023)Evaluating Theory of Mind in Question Answering., , , , и . EMNLP, стр. 2392-2400. Association for Computational Linguistics, (2018)Cognitive analyses of machine learning systems. University of California, Berkeley, USA, (2022)Passive attention in artificial neural networks predicts human visual selectivity., , , , , и . NeurIPS, стр. 27094-27106. (2021)Recasting Gradient-Based Meta-Learning as Hierarchical Bayes., , , , и . ICLR (Poster), OpenReview.net, (2018)Learning deep taxonomic priors for concept learning from few positive examples., , и . CogSci, стр. 1865-1870. cognitivesciencesociety.org, (2019)Getting aligned on representational alignment., , , , , , , , , и 19 other автор(ы). CoRR, (2023)Bayes in the age of intelligent machines., , , и . CoRR, (2023)