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COMET: Learning Cardinality Constrained Mixture of Experts with Trees
  and Local Search

COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search

5 June 2023
Shibal Ibrahim
Wenyu Chen
Hussein Hazimeh
Natalia Ponomareva
Zhe Zhao
Rahul Mazumder
    MoE
ArXivPDFHTML

Papers citing "COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search"

5 / 5 papers shown
Title
End-to-end Feature Selection Approach for Learning Skinny Trees
End-to-end Feature Selection Approach for Learning Skinny Trees
Shibal Ibrahim
Kayhan Behdin
Rahul Mazumder
20
0
0
28 Oct 2023
Flexible Modeling and Multitask Learning using Differentiable Tree
  Ensembles
Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles
Shibal Ibrahim
Hussein Hazimeh
Rahul Mazumder
24
4
0
19 May 2022
Mixture-of-Experts with Expert Choice Routing
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
Beyond Distillation: Task-level Mixture-of-Experts for Efficient
  Inference
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference
Sneha Kudugunta
Yanping Huang
Ankur Bapna
M. Krikun
Dmitry Lepikhin
Minh-Thang Luong
Orhan Firat
MoE
119
105
0
24 Sep 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
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