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As the scale of machine learning models increases, trends such as scaling laws anticipate consistent downstream improvements in predictive accuracy.
“Fairness Without Demographics in Repeated Loss Minimization”
Tatsunori Hashimoto, Megha Srivastava, Hongseok Namkoong and Percy Liang · 1938
Earlier work this paper cites.
“A Class of Games Possessing Pure-Strategy Nash Equilibria”
Robert. Rosenthal · 1973
Earlier work this paper cites.
“On Hotelling’s ”Stability in Competition””
C. d’Aspremont, J. Gabszewicz and J.-F. Thisse · 1979
Earlier work this paper cites.
“Stability in Competition”
Harold Hotelling · 1981
Earlier work this paper cites.
“Discrete Choice Theory of Product Differentiation”
Simon. Anderson, Andre de Palma and Jacques-Francois Thisse · 1992
Earlier work this paper cites.
“Potential Games”
Dov Monderer and Lloyd. Shapley · 1996
Earlier work this paper cites.
“Discrete Choice Methods with Simulation”
Kenneth Train · 2002
Earlier work this paper cites.
“Notes on equilibria in symmetric games”
Shih-fen Cheng, Daniel. Reeves, Yevgeniy Vorobeychik and Michael. Wellman · 2004
Earlier work this paper cites.
“ImageNet: A large-scale hierarchical image database”
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li and Li Fei-Fei · 2009
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
“ImageNet Classification with Deep Convolutional Neural Networks”
Alex Krizhevsky, Ilya Sutskever and Geoffrey. Hinton · 2012
Earlier work this paper cites.
“Representation Learning: A Review and New Perspectives”
Yoshua Bengio, Aaron. Courville and Pascal Vincent · 2013
Earlier work this paper cites.
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