5 problems
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Strong ironing property for rolling-ball optimizers
Let be two continuous functions, and let be their respective graphs. Write…
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The equivalent-minima conjecture for large neural networks
Consider large neural networks trained by an optimization process, their local minima, and their generalization performance on a test set. Equivalent-minima conjecture. Large neura…
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Felix et al.'s manifold conjecture for neural-network loss minima
Consider the loss landscape of a recurrent neural network and its minima, between which continuous paths may be constructed. Felix et al.'s manifold conjecture. The loss minima are…
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Hochreiter's curvature conjecture for deep-network generalization
Let a deep neural network (a deepnet) be trained to a converged solution, and consider the curvature of its loss at that solution. Hochreiter et al.'s conjecture. The generalizatio…
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The conjecture that nonlinear neural networks often have benign loss landscapes
Benign-landscape conjecture. In many situations, nonlinear activation functions should give rise to “nice” landscape properties, or even to the complete absence of spurious local m…