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Getting aligned on representational alignment
Ilia Sucholutsky
, Lukas Muttenthaler
, Adrian Weller
, Andi Peng
, Andreea Bobu
, Been Kim
, Bradley C. Love
, Christopher J. Cueva
, Erin Grant
, Iris Groen
, Jascha Achterberg
, Joshua B. Tenenbaum
, Katherine M. Collins
, Katherine L. Hermann
, Kerem Oktar
, Klaus Greff
, Martin N. Hebart
, Nathan Cloos
, Nikolaus Kriegeskorte
, Nori Jacoby
Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O’connell, Thomas Unterthiner, Andrew K. Lampinen, Klaus Robert Müller, Mariya Toneva,
Thomas L. Griffiths
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Psychology
Center for Statistics & Machine Learning
Computer Science
Princeton Language and Intelligence (PLI)
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Keyphrases
Machine Learning
100%
Cognitive Neuroscience
100%
Information Processing System
100%
Cognitive Science
100%
Science Learning
100%
Cognitive Robotics
100%
Knowledge Transfer
50%
Making Decisions
50%
System Form
50%
Common Language
50%
One Field
50%
Unifying Framework
50%
System Representation
50%
Interdisciplinary Collaboration
50%
Computer Science
Information Processing System
100%
Machine Learning
100%
Learning System
100%
Cognitive Science
100%
Knowledge Transfer
50%
Form Representation
50%
Common Language
50%
Neuroscience
Information Processing
100%
Neuroscience
100%
Cognitive Science
100%
Behavior (Neuroscience)
50%
Psychology
Neurobiology
100%
Information Processing
100%
Cognitive Science
100%