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Making Pretrained Language Models Good Long-tailed Learners

Making Pretrained Language Models Good Long-tailed Learners

11 May 2022
Chen Zhang
Lei Ren
Jingang Wang
Wei Yu Wu
Dawei Song
    RALM
    VLM
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Papers citing "Making Pretrained Language Models Good Long-tailed Learners"

5 / 5 papers shown
Title
XPrompt: Exploring the Extreme of Prompt Tuning
XPrompt: Exploring the Extreme of Prompt Tuning
Fang Ma
Chen Zhang
Lei Ren
Jingang Wang
Qifan Wang
Wei Yu Wu
Xiaojun Quan
Dawei Song
VLM
108
37
0
10 Oct 2022
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
280
3,835
0
18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,913
0
31 Dec 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
240
780
0
05 Dec 2019
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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