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Found 2 papers, 1 papers with code
Efficient Mixed Dimension Embeddings for Matrix Factorization
Despite the prominence of neural network approaches in the field of recommender systems, simple methods such as matrix factorization with quadratic loss are still used in industry for several reasons.
Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
Quantum hardware and quantum-inspired algorithms are becoming increasingly popular for combinatorial optimization.
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