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Found 3 papers, 1 papers with code
Influence-Balanced Loss for Imbalanced Visual Classification
In this paper, we propose a balancing training method to address problems in imbalanced data learning.
Ranked #46 on
Long-tail Learning
on CIFAR-10-LT (ρ=10)
Differentiable Forward and Backward Fixed-Point Iteration Layers
FPI\_NN is intuitive, simple, and fast to train, while FPI_GD can be used for efficient training of energy networks that have been recently studied.
Neuro-Optimization: Learning Objective Functions Using Neural Networks
With a carefully-designed objective function, mathematical optimization can be quite helpful in solving many problems.
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