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Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning

Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning

25 May 2022
Jiahui Gao
Renjie Pi
Yong Lin
Hang Xu
Jiacheng Ye
Zhiyong Wu
Weizhong Zhang
Xiaodan Liang
Zhenguo Li
Lingpeng Kong
    SyDa
    VLM
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Papers citing "Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning"

14 / 14 papers shown
Title
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data
Haoxin Li
Boyang Li
CoGe
67
0
0
03 Mar 2025
Out-of-Distribution Detection using Synthetic Data Generation
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas
Muneeza Azmat
R. Horesh
Mikhail Yurochkin
38
1
0
05 Feb 2025
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
Zilin Du
Haoxin Li
Jianfei Yu
Boyang Li
87
0
0
01 Dec 2024
Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification
Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification
Hsun-Yu Kuo
Yin-Hsiang Liao
Yu-Chieh Chao
Wei-Yun Ma
Pu-Jen Cheng
SyDa
36
2
0
28 Oct 2024
Training on Synthetic Data Beats Real Data in Multimodal Relation
  Extraction
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction
Zilin Du
Haoxin Li
Xu Guo
Boyang Li
25
1
0
05 Dec 2023
Tuning Language Models as Training Data Generators for
  Augmentation-Enhanced Few-Shot Learning
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
Yu Meng
Martin Michalski
Jiaxin Huang
Yu Zhang
Tarek F. Abdelzaher
Jiawei Han
VLM
30
46
0
06 Nov 2022
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback
Jiacheng Ye
Jiahui Gao
Jiangtao Feng
Zhiyong Wu
Tao Yu
Lingpeng Kong
SyDa
VLM
71
69
0
22 Oct 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Towards Zero-Label Language Learning
Towards Zero-Label Language Learning
Zirui Wang
Adams Wei Yu
Orhan Firat
Yuan Cao
SyDa
167
101
0
19 Sep 2021
Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic
  Distillation
Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation
Lewei Yao
Renjie Pi
Hang Xu
Wei Zhang
Zhenguo Li
Tong Zhang
74
38
0
27 May 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
Data Augmentation using Pre-trained Transformer Models
Data Augmentation using Pre-trained Transformer Models
Varun Kumar
Ashutosh Choudhary
Eunah Cho
VLM
209
315
0
04 Mar 2020
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
237
11,568
0
09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization
Forward and Reverse Gradient-Based Hyperparameter Optimization
Luca Franceschi
Michele Donini
P. Frasconi
Massimiliano Pontil
109
370
0
06 Mar 2017
1