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Found 3 papers, 3 papers with code
Test Time Embedding Normalization for Popularity Bias Mitigation
Popularity bias is a widespread problem in the field of recommender systems, where popular items tend to dominate recommendation results.
Item-based Variational Auto-encoder for Fair Music Recommendation
Our proposed system is based on an ensemble between an item-based variational auto-encoder (VAE) and a Bayesian personalized ranking matrix factorization (BPRMF).
NAS-VAD: Neural Architecture Search for Voice Activity Detection
Various neural network-based approaches have been proposed for more robust and accurate voice activity detection (VAD).
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