Training with Multi-Layer Embeddings for Model Reduction

10 June 2020

Papers citing "Training with Multi-Layer Embeddings for Model Reduction"

6 / 6 papers shown

Title
Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems Qinyi Luo Penghan Wang Wei Zhang Fan Lai Jiachen Mao ... Jun Song Wei-Yu Tsai Shuai Yang Yuxi Hu Xuehai Qian 77 0 0 09 Jan 2024
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation Gopu Krishna Jha Anthony Thomas Nilesh Jain Sameh Gobriel Tajana Rosing Ravi Iyer 77 2 0 12 May 2023
Nimble GNN Embedding with Tensor-Train Decomposition Chunxing Yin Da Zheng Israt Nisa Christos Faloutsos George Karypis R. Vuduc GNN 89 17 0 21 Jun 2022
Learning to Collide: Recommendation System Model Compression with Learned Hash Functions Benjamin Ghaemmaghami Mustafa Ozdal Rakesh Komuravelli D. Korchev Dheevatsa Mudigere Krishnakumar Nair Maxim Naumov 67 6 0 28 Mar 2022
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance Udit Gupta Samuel Hsia J. Zhang Mark Wilkening Javin Pombra Hsien-Hsin S. Lee Gu-Yeon Wei Carole-Jean Wu David Brooks 67 33 0 18 May 2021
TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models Chunxing Yin Bilge Acun Xing Liu Carole-Jean Wu 99 106 0 25 Jan 2021