Výsledky vyhledávání - "Christian Tsvetkov"

Disagreement and confusion over the status of DNNs as models of vision

Autor: Jeffrey S Bowers, Gaurav Malhotra, Marin Dujmović, Milton Llera Montero, Christian Tsvetkov, Guillermo Puebla, Federico G Adolfi, John Hummel, Rachel Flood Heaton, Benjamin D. Evans, Jeffrey Mitchell, Ryan Blything

We are pleased there is widespread agreement that psychology has an important role to play in building better models of vision. But there are important confusions and disagreements that we discuss in our response. Our key claim is not that we should

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8ff56f142ae693d60ccecd8da430487e
https://doi.org/10.31234/osf.io/2rfzp

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Introducing the MindSet benchmark for comparing DNNs to human vision

Autor: Valerio Biscione, Dong Yin, Gaurav Malhotra, Marin Dujmović, Milton Llera Montero, Guillermo Puebla, Federico G Adolfi, Christian Tsvetkov, Rachel Flood Heaton, John Hummel, Bradley Evans, Jeffrey S Bowers

We describe the MindSet benchmark designed to facilitate the testing of DNNs against controlled experiments reported in psychology. MindSet will focus on a range of low-, middle-, and high-level visual findings that provide important constraints for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c9d4a64ee62adbbdf81ee9a7f65d329d
https://doi.org/10.31234/osf.io/cneyp

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Adding Biological Constraints to Deep Neural Networks Reduces their Capacity to Learn Unstructured Data

Autor: Christian Tsvetkov, Gaurav Malhotra, Benjamin Evans, Jeffrey Bowers

Publikováno v: University of Bristol-PURE
ORCID

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9bdbdcb912570d6d45acb0571aedddf2
https://research-information.bris.ac.uk/en/publications/228e4dcb-126a-4be3-8fef-a9248d1e6ba0

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The role of capacity constraints in Convolutional Neural Networks for learning random versus natural data

Autor: Christian Tsvetkov, Gaurav Malhotra, Benjamin D. Evans, Jeffrey S. Bowers

Publikováno v: bioRxiv
BioRxiv

Convolutional neural networks (CNNs) are often described as promising models of human vision, yet they show many differences from human abilities. We focus on a superhuman capacity of top-performing CNNs, namely, their ability to learn very large dat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::465733dd0317f03a22478d3891c08406

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