Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion

6 October 2023

Papers citing "Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion"

8 / 8 papers shown

Title
Massive Activations in Large Language Models Mingjie Sun Xinlei Chen J. Zico Kolter Zhuang Liu 60 66 0 27 Feb 2024
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models Iman Mirzadeh Keivan Alizadeh-Vahid Sachin Mehta C. C. D. Mundo Oncel Tuzel Golnoosh Samei Mohammad Rastegari Mehrdad Farajtabar 118 59 0 06 Oct 2023
Mixture-of-Experts with Expert Choice Routing Yan-Quan Zhou Tao Lei Han-Chu Liu Nan Du Yanping Huang Vincent Zhao Andrew M. Dai Zhifeng Chen Quoc V. Le James Laudon MoE 147 326 0 18 Feb 2022
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 139 684 0 31 Jan 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 225 2,427 0 04 Jan 2021
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 226 4,424 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 294 6,943 0 20 Apr 2018
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,170 0 01 Sep 2014