ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2206.05703
  4. Cited By
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning

PAC-Net: A Model Pruning Approach to Inductive Transfer Learning

12 June 2022
Sanghoon Myung
I. Huh
Wonik Jang
Jae Myung Choe
Jisu Ryu
Daesin Kim
Kee-Eung Kim
C. Jeong
ArXivPDFHTML

Papers citing "PAC-Net: A Model Pruning Approach to Inductive Transfer Learning"

3 / 3 papers shown
Title
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced
  Transfer Learning
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
Yihua Zhang
Yimeng Zhang
Aochuan Chen
Jinghan Jia
Jiancheng Liu
Gaowen Liu
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
29
8
0
13 Oct 2023
Transfer learning with affine model transformation
Transfer learning with affine model transformation
Shunya Minami
Kenji Fukumizu
Yoshihiro Hayashi
Ryo Yoshida
11
1
0
18 Oct 2022
Reducing Computational Complexity of Neural Networks in Optical Channel
  Equalization: From Concepts to Implementation
Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation
Pedro J. Freire
A. Napoli
D. A. Ron
B. Spinnler
M. Anderson
W. Schairer
T. Bex
N. Costa
S. Turitsyn
Jaroslaw E. Prilepsky
27
28
0
26 Aug 2022
1