Getting deep recommenders fit: Bloom embeddings for sparse binary input/output networks

13 June 2017

Papers citing "Getting deep recommenders fit: Bloom embeddings for sparse binary input/output networks"

6 / 6 papers shown

Title
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation Gopu Krishna Jha Anthony Thomas Nilesh Jain Sameh Gobriel Tajana Rosing Ravi Iyer 40 2 0 12 May 2023
FiNER: Financial Numeric Entity Recognition for XBRL Tagging Lefteris Loukas Manos Fergadiotis Ilias Chalkidis Eirini Spyropoulou Prodromos Malakasiotis Ion Androutsopoulos G. Paliouras 13 56 0 12 Mar 2022
MUDES: Multilingual Detection of Offensive Spans Tharindu Ranasinghe Marcos Zampieri 19 41 0 18 Feb 2021
Learning to Embed Categorical Features without Embedding Tables for Recommendation Wang-Cheng Kang D. Cheng Tiansheng Yao Xinyang Yi Ting-Li Chen Lichan Hong Ed H. Chi LMTD CML DML 45 68 0 21 Oct 2020
Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems Caojin Zhang Yicun Liu Yuanpu Xie S. Ktena Alykhan Tejani ... Suvadip Paul Ikuhiro Ihara P. Upadhyaya Ferenc Huszár Wenzhe Shi 18 53 0 28 Jul 2020
Named entity recognition in chemical patents using ensemble of contextual language models J. Copara Nona Naderi J. Knafou Patrick Ruch Douglas Teodoro 19 23 0 24 Jul 2020