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of 27 398
pro vyhledávání: '"Kornblith A"'
Autor:
Carter, J. Adam, McKenna, Robin
Publikováno v:
Synthese, 2019 Dec 01. 196(12), 4989-5007.
Externí odkaz:
https://www.jstor.org/stable/45238187
Autor:
BOGHOSSIAN, PAUL1 pb3@nyu.edu
Publikováno v:
Analysis. Jan2016, Vol. 76 Issue 1, p41-54. 14p.
Autor:
Bonjour, Laurence
Publikováno v:
Philosophical Studies: An International Journal for Philosophy in the Analytic Tradition, 2006 Jan 01. 127(2), 317-335.
Externí odkaz:
https://www.jstor.org/stable/4321694
Autor:
Sosa, Ernest
Publikováno v:
Philosophical Issues, 2000 Jan 01. 10, 38-42.
Externí odkaz:
https://www.jstor.org/stable/3050562
Autor:
Smithies, Declan1 smithies.2@osu.edu
Publikováno v:
Analysis. Oct2021, Vol. 81 Issue 4, p803-816. 14p.
Autor:
Ciernik, Laure, Linhardt, Lorenz, Morik, Marco, Dippel, Jonas, Kornblith, Simon, Muttenthaler, Lukas
The Platonic Representation Hypothesis claims that recent foundation models are converging to a shared representation space as a function of their downstream task performance, irrespective of the objectives and data modalities used to train these mod
Externí odkaz:
http://arxiv.org/abs/2411.05561
Autor:
Sundaram, Shobhita, Fu, Stephanie, Muttenthaler, Lukas, Tamir, Netanel Y., Chai, Lucy, Kornblith, Simon, Darrell, Trevor, Isola, Phillip
Humans judge perceptual similarity according to diverse visual attributes, including scene layout, subject location, and camera pose. Existing vision models understand a wide range of semantic abstractions but improperly weigh these attributes and th
Externí odkaz:
http://arxiv.org/abs/2410.10817
Akademický článek
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Autor:
WILLIAMSON, TIMOTHY1 timothy.williamson@philosophy.ox.ac.uk
Publikováno v:
Analysis. Jan2009, Vol. 69 Issue 1, p125-135. 11p.
Autor:
Muttenthaler, Lukas, Greff, Klaus, Born, Frieda, Spitzer, Bernhard, Kornblith, Simon, Mozer, Michael C., Müller, Klaus-Robert, Unterthiner, Thomas, Lampinen, Andrew K.
Deep neural networks have achieved success across a wide range of applications, including as models of human behavior in vision tasks. However, neural network training and human learning differ in fundamental ways, and neural networks often fail to g
Externí odkaz:
http://arxiv.org/abs/2409.06509