ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2108.02191
  4. Cited By
Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf
  DLRM Model : 1000$\times$ Compression and 3.1$\times$ Faster Inference
v1v2 (latest)

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

4 August 2021
Aditya Desai
Li Chou
Anshumali Shrivastava
    AI4CE
ArXiv (abs)PDFHTML

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

4 / 4 papers shown
The trade-offs of model size in large recommendation models : A 10000
  $\times$ compressed criteo-tb DLRM model (100 GB parameters to mere 10MB)
The trade-offs of model size in large recommendation models : A 10000 ×\times× compressed criteo-tb DLRM model (100 GB parameters to mere 10MB)
Aditya Desai
Anshumali Shrivastava
AI4CE
295
4
0
21 Jul 2022
Efficient model compression with Random Operation Access Specific Tile
  (ROAST) hashing
Efficient model compression with Random Operation Access Specific Tile (ROAST) hashing
Aditya Desai
K. Zhou
Anshumali Shrivastava
375
2
0
21 Jul 2022
Efficient Mixed Dimension Embeddings for Matrix Factorization
Efficient Mixed Dimension Embeddings for Matrix Factorization
D. Beloborodov
Andrei Zimovnov
Petr Molodyk
Dmitrii Kirillov
175
2
0
18 May 2022
Differentiable Neural Input Search for Recommender Systems
Differentiable Neural Input Search for Recommender Systems
Weiyu Cheng
Yanyan Shen
Linpeng Huang
289
39
0
08 Jun 2020
1
Page 1 of 1