DataMUX: Data Multiplexing for Neural Networks

18 February 2022

Papers citing "DataMUX: Data Multiplexing for Neural Networks"

5 / 5 papers shown

Title
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition Nicolas Menet Michael Hersche G. Karunaratne Luca Benini Abu Sebastian Abbas Rahimi 40 13 0 05 Dec 2023
MUX-PLMs: Data Multiplexing for High-throughput Language Models Vishvak Murahari Ameet Deshpande Carlos E. Jimenez Izhak Shafran Mingqiu Wang Yuan Cao Karthik Narasimhan MoE 26 5 0 24 Feb 2023
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 264 4,532 0 23 Jan 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 304 6,996 0 20 Apr 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,330 0 05 Nov 2016