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Provably Improving Generalization of Few-Shot Models with Synthetic Data

Provably Improving Generalization of Few-Shot Models with Synthetic Data

30 May 2025
Lan-Cuong Nguyen
Quan Nguyen-Tri
Bang Tran Khanh
Dung D. Le
Long Tran-Thanh
Khoat Than
ArXivPDFHTML

Papers citing "Provably Improving Generalization of Few-Shot Models with Synthetic Data"

11 / 11 papers shown
Title
MMRL: Multi-Modal Representation Learning for Vision-Language Models
MMRL: Multi-Modal Representation Learning for Vision-Language Models
Yuncheng Guo
Xiaodong Gu
VLM
OffRL
364
3
0
11 Mar 2025
High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
M. E. Ildiz
Halil Alperen Gozeten
Ege Onur Taga
Marco Mondelli
Samet Oymak
79
5
0
24 Oct 2024
Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective
Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective
Zeyu Gan
Yong Liu
SyDa
58
3
0
02 Oct 2024
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
Zheng Li
Xiang Li
Xinyi Fu
Xing Zhang
Weiqiang Wang
Shuo Chen
Jian Yang
VLM
69
40
0
05 Mar 2024
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets
Ossi Raisa
Antti Honkela
92
1
0
06 Feb 2024
Diversified in-domain synthesis with efficient fine-tuning for few-shot
  classification
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification
Victor G. Turrisi da Costa
Nicola Dall’Asen
Yiming Wang
N. Sebe
Elisa Ricci
58
5
0
05 Dec 2023
Visual Prompt Tuning
Visual Prompt Tuning
Menglin Jia
Luming Tang
Bor-Chun Chen
Claire Cardie
Serge Belongie
Bharath Hariharan
Ser-Nam Lim
VLM
VPVLM
105
1,576
0
23 Mar 2022
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
440
2,340
0
02 Sep 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
681
28,659
0
26 Feb 2021
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
581
4,735
0
13 May 2019
Fine-Grained Visual Classification of Aircraft
Fine-Grained Visual Classification of Aircraft
Subhransu Maji
Esa Rahtu
Arno Solin
Matthew Blaschko
Andrea Vedaldi
86
2,227
0
21 Jun 2013
1