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Humans show language-biased image recognition for a word-embedded image, known as picture-word interference.
Thought and language
Lev S Vygotsky · 1934
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Studies of interference in serial verbal reactions
J Ridley Stroop · 1935
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Language and communication
George Armitage Miller · 1951
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Picture-word interference is semantically based
Richard R Rosinski · 1977
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The semantic nature of response competition in the picture-word interference task
Stephen J Lupker · 1979
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String comparator metrics and enhanced decision rules in the fellegi-sunter model of record linkage
William E Winkler · 1990
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A spreading-activation theory of lemma retrieval in speaking
Ardi Roelofs · 1992
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Words as invitations to form categories: Evidence from 12-to 13-month-old infants
Sandra R Waxman and Dana B Markow · 1995
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A theory of lexical access in speech production
Willem JM Levelt, Ardi Roelofs, and Antje S Meyer · 1999
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Now you see it, now you don’t: On turning semantic interference into facilitation in a stroop-like task
Matthew Finkbeiner and Alfonso Caramazza · 2006
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Learning multiple layers of features from tiny images
Alex Krizhevsky, Geoffrey Hinton, et al · 2009
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Wuggy: A multilingual pseudoword generator
Emmanuel Keuleers and Marc Brysbaert · 2010
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Resolving human object recognition in space and time
Radoslaw Martin Cichy, Dimitrios Pantazis, and Aude Oliva · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Vqa: Visual question answering
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C Lawrence Zitnick, and Devi Parikh · 2015
Cited alongside, same era.
Analyzing the behavior of visual question answering models
Aishwarya Agrawal, Dhruv Batra, and Devi Parikh · 2016
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Don’t just assume; look and answer: Overcoming priors for visual question answering
Aishwarya Agrawal, Dhruv Batra, Devi Parikh, and Aniruddha Kembhavi · 2018
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Overcoming language priors in visual question answering with adversarial regularization
Sainandan Ramakrishnan, Aishwarya Agrawal, and Stefan Lee · 2018
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Reliability and generalizability of similarity-based fusion of meg and fmri data in human ventral and dorsal visual streams
Yalda Mohsenzadeh, Caitlin Mullin, Benjamin Lahner, Radoslaw Martin Cichy, and Aude Oliva · 2019
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What did we learn from forty years of research on semantic interference? a bayesian meta-analysis
Audrey Bürki, Shereen Elbuy, Sylvain Madec, and Shravan Vasishth · 2020
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Similarity-based fusion of meg and fmri reveals spatio-temporal dynamics in human cortex during visual object recognition
Radoslaw Martin Cichy, Dimitrios Pantazis, and Aude Oliva · 2016
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Multimodal compact bilinear pooling for visual question answering and visual grounding
Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, and Marcus Rohrbach · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Hierarchical question-image co-attention for visual question answering
Jiasen Lu, Jianwei Yang, Dhruv Batra, and Devi Parikh · 2016
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Representational similarity analysis-connecting the branches of systems neuroscience
Nikolaus Kriegeskorte, Marieke Mur, and Peter A Bandettini
Cited in the paper.
Matching categorical object representations in inferior temporal cortex of man and monkey
Nikolaus Kriegeskorte, Marieke Mur, Douglas A Ruff, Roozbeh Kiani, Jerzy Bodurka, Hossein Esteky, Keiji Tanaka, and Peter A Bandettini
Cited in the paper.
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Language as a cognitive tool: Dall-e, humans and vygotskian rl agents, March 2021
Cédric Colas, Tristan Karch, Clément Moulin-Frier, and Pierre-Yves Oudeyer · 2021
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Multimodal neurons in artificial neural networks
Gabriel Goh, Nick Cammarata †, Chelsea Voss †, Shan Carter, Michael Petrov, Ludwig Schubert, Alec Radford, and Chris Olah · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
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Towards teachable autonomous agents
Olivier Sigaud, Hugo Caselles-Dupré, Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, and Mohamed Chetouani · 2021
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