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ProFormer: Towards On-Device LSH Projection Based Transformers

ProFormer: Towards On-Device LSH Projection Based Transformers

13 April 2020
Chinnadhurai Sankar
Sujith Ravi
Zornitsa Kozareva
ArXivPDFHTML

Papers citing "ProFormer: Towards On-Device LSH Projection Based Transformers"

5 / 5 papers shown
Title
Rediscovering Hashed Random Projections for Efficient Quantization of
  Contextualized Sentence Embeddings
Rediscovering Hashed Random Projections for Efficient Quantization of Contextualized Sentence Embeddings
Ulf A. Hamster
Ji-Ung Lee
Alexander Geyken
Iryna Gurevych
39
0
0
13 Mar 2023
Efficient Methods for Natural Language Processing: A Survey
Efficient Methods for Natural Language Processing: A Survey
Marcos Vinícius Treviso
Ji-Ung Lee
Tianchu Ji
Betty van Aken
Qingqing Cao
...
Emma Strubell
Niranjan Balasubramanian
Leon Derczynski
Iryna Gurevych
Roy Schwartz
40
109
0
31 Aug 2022
pNLP-Mixer: an Efficient all-MLP Architecture for Language
pNLP-Mixer: an Efficient all-MLP Architecture for Language
Francesco Fusco
Damian Pascual
Peter W. J. Staar
Diego Antognini
37
29
0
09 Feb 2022
Efficient Deep Learning: A Survey on Making Deep Learning Models
  Smaller, Faster, and Better
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better
Gaurav Menghani
VLM
MedIm
23
367
0
16 Jun 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
304
7,005
0
20 Apr 2018
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