EFloat: Entropy-coded Floating Point Format for Compressing Vector Embedding Models

4 February 2021

Papers citing "EFloat: Entropy-coded Floating Point Format for Compressing Vector Embedding Models"

2 / 2 papers shown

Title
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 245 1,833 0 17 Sep 2019
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 311 31,280 0 16 Jan 2013