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20232026
most citedA Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler

2 citations · 2 across the 4 of their papers we have counts for

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cs.LG2024★ 2 cited

A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler

Mohammed Tirichine, Nassim Ameur, Nazim Bendib +4

Code optimization is a crucial task that aims to enhance code performance. However, this process is often tedious and complex, highlighting the necessity for automatic code optimiz…

cs.CV2024

CoViews: Adaptive Augmentation Using Cooperative Views for Enhanced Contrastive Learning

Nazim Bendib

Data augmentation plays a critical role in generating high-quality positive and negative pairs necessary for effective contrastive learning. However, common practices involve using…