Decadz/Meta-Learning-Literature-Overview Decadz/Meta-Learning-Literature-Overview

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Decadz/Meta-Learning-Literature-Overview
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Decadz

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List of AI/ML papers related to my thesis on "Meta-Learning Loss Functions for Deep Neural Networks". Thesis link: https://arxiv.org/abs/2406.09713

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Genetic-Programming-with-Rademacher-Complexity

Python code for the GP-RC algorithm presented in "Genetic Programming with Rademacher Complexity for Symbolic Regression" (CEC-2019). Paper Link: https://ieeexplore.ieee.org/document/8790341
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Evolved-Model-Agnostic-Loss

PyTorch code for the EvoMAL algorithm presented in "Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning" (TPAMI-2023). Paper Link: https://arxiv.org/abs/2209.08907
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Sparse-Label-Smoothing-Regularization

PyTorch code for Sparse Label Smoothing Regularization presented in "Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning" (TPAMI-2023). Paper Link: https://arxiv.org/abs/2209.08907
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