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Dheevatsa Mudigere

2 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Learning to Collide: Recommendation System Model Compression with Learned Hash Functions

    2022 · arXiv (Cornell University)

    A key characteristic of deep recommendation models is the immense memory requirements of their embedding tables. These embedding tables can often reach hundreds of gigabytes which increases hardware requirements and training cost. A common technique …

  2. Deep Learning Recommendation Model for Personalization and Recommendation Systems

    2019 · arXiv (Cornell University)

    With the advent of deep learning, neural network-based recommendation models have emerged as an important tool for tackling personalization and recommendation tasks. These networks differ significantly from other deep learning networks due to their need …