Search Results for author: Li Chou

Found 3 papers, 1 papers with code

Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000$\times$ Compression and 3.1$\times$ Faster Inference

no code implementations4 Aug 2021 Aditya Desai, Li Chou, Anshumali Shrivastava

In this paper, we present Random Offset Block Embedding Array (ROBE) as a low memory alternative to embedding tables which provide orders of magnitude reduction in memory usage while maintaining accuracy and boosting execution speed.

Model Compression

Semantically Constrained Memory Allocation (SCMA) for Embedding in Efficient Recommendation Systems

1 code implementation24 Feb 2021 Aditya Desai, Yanzhou Pan, Kuangyuan Sun, Li Chou, Anshumali Shrivastava

In particular, our LMA embeddings achieve the same performance compared to standard embeddings with a 16$\times$ reduction in memory footprint.

Recommendation Systems

Neighbor Oblivious Learning (NObLe) for Device Localization and Tracking

no code implementations23 Nov 2020 Zichang Liu, Li Chou, Anshumali Shrivastava

In this paper, we argue that the state-of-the-art-systems are significantly worse in terms of accuracy because they are incapable of utilizing these essential structural information.

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