[TPAMI 2023] Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. Paper Link: https://arxiv.org/abs/2209.08907
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Aug 5, 2024 - Python
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loss-function-learning
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Projeto que utiliza a base de dados Iris para calcular a acurácia e a função de perda de um modelo de aprendizado de máquina. Focado em análise de desempenho e avaliação de modelos.
c open-source machine-learning machine-learning-algorithms artificial-intelligence accuracy data-analysis loss-functions model-evaluation artificial-intelligence-algorithms iris-dataset machine-learning-models iris-dataset-tutorial loss-function model-evaluation-metrics iris-dataset-creating loss-function-learning
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Sep 30, 2024 - C
[TMLR 2025] Meta-Learning Adaptive Loss Functions. Paper Link: https://arxiv.org/abs/2301.13247
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Oct 12, 2025 - Python
Integrating Machine Learning Utility in Tabular Data Synthesizer Training using Loss Function Learning
machine-learning deep-learning transformers pytorch transformer synthetic-data catboost synthetic-dataset-generation synthetic-data-generation ml-utility loss-function-learning loss-learning
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Aug 8, 2026 - Python
Ubuntu-Constrained Cost Function Discovery: a bi-level meta-learning framework where an agent discovers cost functions rather than optimising a fixed objective, under six formalised Ubuntu constraints. Argues fixed extractive objectives are mathematically destabilising over long horizons, not only ethically wrong.
python research ubuntu dynamical-systems ai-safety inverse-reinforcement-learning ecological-modelling meta-learning ai-alignment loss-function-learning african-philosophy
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May 1, 2026 - Python
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