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

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

24 February 2021

Anshumali Shrivastava

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

6 / 6 papers shown

Title
Lightweight Embeddings with Graph Rewiring for Collaborative Filtering Xurong Liang Tong Chen Wei Yuan Hongzhi Yin 37 0 0 25 May 2025
The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation Systems Chanwoo Choi Jinsoo Kim Sukmin Cho Soyeong Jeong Buru Chang 129 2 0 28 Feb 2025
Saturn: An Optimized Data System for Large Model Deep Learning Workloads Kabir Nagrecha Arun Kumar 110 6 0 03 Sep 2023
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation Gopu Krishna Jha Anthony Thomas Nilesh Jain Sameh Gobriel Tajana Rosing Ravi Iyer 86 2 0 12 May 2023
Streaming Encoding Algorithms for Scalable Hyperdimensional Computing Anthony Thomas Behnam Khaleghi Gopi Krishna Jha S. Dasgupta N. Himayat Ravi Iyer Nilesh Jain Tajana Rosing 91 6 0 20 Sep 2022
$Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000$\times$ Compression and 3.1$\times$ Faster Inference$ Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000 $\times$ Compression and 3.1 $\times$ Faster Inference Aditya Desai Li Chou Anshumali Shrivastava AI4CE 61 6 0 04 Aug 2021