$$\mathcal{Y}$-Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning$

$\mathcal{Y}$ -Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning

20 February 2022

Xipeng Qiu

Papers citing "$\mathcal{Y}$-Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning"

9 / 9 papers shown

Title
Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport Siqi Zeng Sixian Du M. Yamada Han Zhao OT 36 0 0 04 Oct 2024
Parameter-efficient is not sufficient: Exploring Parameter, Memory, and Time Efficient Adapter Tuning for Dense Predictions Dongshuo Yin Xueting Han Bin Li Hao Feng Jinghua Bai VPVLM 23 16 0 16 Jun 2023
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
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
WARP: Word-level Adversarial ReProgramming Karen Hambardzumyan Hrant Khachatrian Jonathan May AAML 248 340 0 01 Jan 2021
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 232 1,444 0 18 Mar 2020
Description Based Text Classification with Reinforcement Learning Duo Chai Wei Yu Wu Qinghong Han Fei Wu Jiwei Li VLM 99 66 0 08 Feb 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 251 1,584 0 21 Jan 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 396 2,576 0 03 Sep 2019