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Improved Fine-Tuning by Better Leveraging Pre-Training Data

Improved Fine-Tuning by Better Leveraging Pre-Training Data

24 November 2021
Ziquan Liu
Yi Tian Xu
Yuanhong Xu
Qi Qian
Hao Li
Xiangyang Ji
Antoni B. Chan
Rong Jin
ArXivPDFHTML

Papers citing "Improved Fine-Tuning by Better Leveraging Pre-Training Data"

11 / 11 papers shown
Title
When Search Engine Services meet Large Language Models: Visions and
  Challenges
When Search Engine Services meet Large Language Models: Visions and Challenges
Haoyi Xiong
Jiang Bian
Yuchen Li
Xuhong Li
Mengnan Du
Shuaiqiang Wang
Dawei Yin
Sumi Helal
53
28
0
28 Jun 2024
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models
Jiaqi Li
Qianshan Wei
Chuanyi Zhang
Guilin Qi
Miaozeng Du
Yongrui Chen
Sheng Bi
Fan Liu
VLM
MU
72
12
0
21 May 2024
Understanding Retrieval-Augmented Task Adaptation for Vision-Language
  Models
Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
Yifei Ming
Yixuan Li
VLM
35
7
0
02 May 2024
Borrowing Treasures from Neighbors: In-Context Learning for Multimodal
  Learning with Missing Modalities and Data Scarcity
Borrowing Treasures from Neighbors: In-Context Learning for Multimodal Learning with Missing Modalities and Data Scarcity
Zhuo Zhi
Ziquan Liu
M. Elbadawi
Adam Daneshmend
Mine Orlu
Abdul Basit
Andreas Demosthenous
Miguel R. D. Rodrigues
34
2
0
14 Mar 2024
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices
  with On-Demand Staleness Control
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control
Xiaocheng Li
Si-ren Liu
Zimu Zhou
Bin Guo
Yuan Xu
Zhiwen Yu
33
0
0
29 Jan 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base
  Classes
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes
Raphael Lafargue
Yassir Bendou
Bastien Pasdeloup
J. Diguet
Ian Reid
Vincent Gripon
Jack Valmadre
23
0
0
29 Jan 2024
AC-Norm: Effective Tuning for Medical Image Analysis via Affine
  Collaborative Normalization
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization
Chuyan Zhang
Yuncheng Yang
Hao Zheng
Yun Gu
24
0
0
28 Jul 2023
Deep Transfer Learning for Automatic Speech Recognition: Towards Better
  Generalization
Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization
Hamza Kheddar
Yassine Himeur
S. Al-Maadeed
Abbes Amira
F. Bensaali
42
76
0
27 Apr 2023
Geometric Dataset Distances via Optimal Transport
Geometric Dataset Distances via Optimal Transport
David Alvarez-Melis
Nicolò Fusi
OT
72
194
0
07 Feb 2020
Borrowing Treasures from the Wealthy: Deep Transfer Learning through
  Selective Joint Fine-tuning
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning
Weifeng Ge
Yizhou Yu
91
233
0
28 Feb 2017
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
136
1,198
0
16 Aug 2016
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