A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

26 May 2024

Papers citing "A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts"

5 / 5 papers shown

Title
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $ε$ -Greedy Exploration Shuai Zhang Hongkang Li Meng Wang Miao Liu Pin-Yu Chen Songtao Lu Sijia Liu K. Murugesan Subhajit Chaudhury 27 19 0 24 Oct 2023
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models A. Jaiswal Shiwei Liu Tianlong Chen Ying Ding Zhangyang Wang VLM 32 22 0 18 Jun 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 145 323 0 18 Feb 2022
The Lottery Ticket Hypothesis for Pre-trained BERT Networks Tianlong Chen Jonathan Frankle Shiyu Chang Sijia Liu Yang Zhang Zhangyang Wang Michael Carbin 148 345 0 23 Jul 2020
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 279 39,083 0 01 Sep 2014