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Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization
  for Few-shot Generalization

Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization

22 March 2023
Kaihang Pan
Juncheng Billy Li
Hongye Song
Jun Lin
Xiaozhong Liu
Siliang Tang
    OffRL
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Papers citing "Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization"

11 / 11 papers shown
Title
AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea
AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea
Qifan Yu
Wei Chow
Zhongqi Yue
Kaihang Pan
Yang Wu
Xiaoyang Wan
Juncheng Billy Li
Siliang Tang
H. Zhang
Yueting Zhuang
DiffM
95
15
0
24 Nov 2024
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs
Yun Zhu
Haizhou Shi
Xiaotang Wang
Yongchao Liu
Yaoke Wang
Boci Peng
Chuntao Hong
Siliang Tang
VLM
43
6
0
14 Oct 2024
Learning a Better Initialization for Soft Prompts via Meta-Learning
Learning a Better Initialization for Soft Prompts via Meta-Learning
Yukun Huang
Kun Qian
Zhou Yu
VLM
28
8
0
25 May 2022
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures
  of Soft Prompts
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts
Akari Asai
Mohammadreza Salehi
Matthew E. Peters
Hannaneh Hajishirzi
120
98
0
24 May 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
Tu Vu
Brian Lester
Noah Constant
Rami Al-Rfou
Daniel Matthew Cer
VLM
LRM
134
276
0
15 Oct 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
Free Lunch for Few-shot Learning: Distribution Calibration
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang
Lu Liu
Min Xu
OODD
199
316
0
16 Jan 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
1,898
0
31 Dec 2020
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
253
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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