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1909.02107
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Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems
Knowledge Discovery and Data Mining (KDD), 2019
4 September 2019
Hao-Jun Michael Shi
Dheevatsa Mudigere
Maxim Naumov
Jiyan Yang
Re-assign community
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Papers citing
"Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems"
50 / 63 papers shown
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214
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167
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SCRec: A Scalable Computational Storage System with Statistical Sharding and Tensor-train Decomposition for Recommendation Models
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202
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236
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298
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365
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182
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A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale
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Tsung-Hsien Lee
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258
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Pb-Hash: Partitioned b-bit Hashing
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103
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175
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167
1
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358
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217
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315
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245
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Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
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292
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Clustering the Sketch: A Novel Approach to Embedding Table Compression
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Thomas Dybdahl Ahle
337
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DreamShard: Generalizable Embedding Table Placement for Recommender Systems
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Xiao Chen
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254
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241
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