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All Birds with One Stone: Multi-task Text Classification for Efficient
  Inference with One Forward Pass

All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass

22 May 2022
Jiaxin Huang
Tianqi Liu
Jialu Liu
Á. Lelkes
Cong Yu
Jiawei Han
ArXivPDFHTML

Papers citing "All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass"

6 / 6 papers shown
Title
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
236
780
0
14 Oct 2021
A Flexible Multi-Task Model for BERT Serving
A Flexible Multi-Task Model for BERT Serving
Tianwen Wei
Jianwei Qi
Shenghuang He
26
7
0
12 Jul 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,584
0
21 Jan 2020
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
6,927
0
20 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017
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