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Found 4 papers, 2 papers with code
Fairness for All: Investigating Harms to Within-Group Individuals in Producer Fairness Re-ranking Optimization -- A Reproducibility Study
This study reproduces previous PFR approaches and shows that they significantly harm colder items, leading to a fairness gap for these items in both advantaged and disadvantaged groups.
Phase-Retrieval with Incomplete Autocorrelations Using Deep Convolutional Autoencoders
Phase-retrieval techniques aim to recover the original signal from just the modulus of its Fourier transform, which is usually much easier to measure than its phase, but the standard iterative techniques tend to fail if only part of the modulus information is available.
A Review of Modern Fashion Recommender Systems
The textile and apparel industries have grown tremendously over the last few years.
Learning Aggregation Functions
Learning on sets is increasingly gaining attention in the machine learning community, due to its widespread applicability.
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