# Psychophysical Machine Learning

arXiv: https://arxiv.org/abs/2208.11236 · HTML: https://mlsanity.com/paper/2208.11236/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 13 references that are in the map.
- First posted on arXiv 23 Aug 2022.

## Builds on (most cited first, 3 of 3)

- [Deep Learning for Classical Japanese Literature](https://mlsanity.com/paper/1812.01718/) (2018)
- [Guiding Machine Perception with Psychophysics](https://mlsanity.com/paper/2207.02241/) (2022)
- [Accelerating Machine Learning via the Weber-Fechner Law](https://mlsanity.com/paper/2204.11834/) (2022)

## Abstract (arXiv)

The Weber Fechner Law of psychophysics observes that human perception is logarithmic in the stimulus. We present an algorithm for incorporating the Weber Fechner law into loss functions for machine learning, and use the algorithm to enhance the performance of deep learning networks.